From 998535bd93978b7afdd536300d8d2730750ad180 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Tue, 19 Aug 2025 19:34:48 +0000 Subject: [PATCH 001/103] Initial plan From 8a51468162fb7d326b9a134996490b1b09c3377b Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Tue, 19 Aug 2025 19:38:15 +0000 Subject: [PATCH 002/103] Add README.md to notebooks folder explaining content and purpose Co-authored-by: onel <1862405+onel@users.noreply.github.com> --- notebooks/README.md | 37 +++++++++++++++++++++++++++++++++++++ 1 file changed, 37 insertions(+) create mode 100644 notebooks/README.md diff --git a/notebooks/README.md b/notebooks/README.md new file mode 100644 index 00000000..88c55b10 --- /dev/null +++ b/notebooks/README.md @@ -0,0 +1,37 @@ +# CUA Notebooks + +This folder contains Jupyter notebooks that demonstrate the core functionality of the CUA (Computer Use Automation) system. These notebooks serve as interactive examples and quickstart guides for different components of the CUA platform. + +## Available Notebooks + +### Core Components +- **`computer_nb.ipynb`** - Demonstrates the Computer API for programmatically operating sandbox VMs using either Cua Cloud Containers or local Lume VMs on Apple Silicon macOS systems +- **`agent_nb.ipynb`** - Shows how to use CUA's Agent to run automated workflows in virtual sandboxes with various AI models (OpenAI, Anthropic, local models) +- **`pylume_nb.ipynb`** - Quickstart guide for the pylume Python library, which handles VM creation, management, and image operations +- **`computer_server_nb.ipynb`** - Demonstrates how to host and configure the Computer server that powers the Computer API + +### Evaluation & Benchmarking +- **`eval_osworld.ipynb`** - Shows ComputerAgent integration with HUD for OSWorld benchmarking, supporting both Claude and OpenAI models + +### Tutorials +- **`blog/`** - Tutorial notebooks from blog posts: + - `build-your-own-operator-on-macos-1.ipynb` - Part 1: Building a CUA operator using OpenAI's computer-use-preview model + - `build-your-own-operator-on-macos-2.ipynb` - Part 2: Using the cua-agent package for more advanced automation + +## Purpose + +These notebooks provide: +- **Hands-on examples** of CUA's core functionality +- **Step-by-step setup instructions** for different components +- **Code snippets** you can copy and adapt for your own projects +- **Working demonstrations** of computer automation tasks +- **Integration examples** with various AI providers and models + +## Getting Started + +1. Choose a notebook based on what you want to learn +2. Follow the installation instructions in each notebook +3. Run the cells sequentially to see CUA in action +4. Adapt the code examples for your specific use cases + +Most notebooks include both cloud-based (Cua Cloud Containers) and local setup options, making them accessible regardless of your environment. \ No newline at end of file From 145a8452320e833475a023a6a4db223e31dd1067 Mon Sep 17 00:00:00 2001 From: Andrei Onel Date: Wed, 20 Aug 2025 00:03:48 +0300 Subject: [PATCH 003/103] Update README.md --- notebooks/README.md | 18 ------------------ 1 file changed, 18 deletions(-) diff --git a/notebooks/README.md b/notebooks/README.md index 88c55b10..0a7f4890 100644 --- a/notebooks/README.md +++ b/notebooks/README.md @@ -17,21 +17,3 @@ This folder contains Jupyter notebooks that demonstrate the core functionality o - **`blog/`** - Tutorial notebooks from blog posts: - `build-your-own-operator-on-macos-1.ipynb` - Part 1: Building a CUA operator using OpenAI's computer-use-preview model - `build-your-own-operator-on-macos-2.ipynb` - Part 2: Using the cua-agent package for more advanced automation - -## Purpose - -These notebooks provide: -- **Hands-on examples** of CUA's core functionality -- **Step-by-step setup instructions** for different components -- **Code snippets** you can copy and adapt for your own projects -- **Working demonstrations** of computer automation tasks -- **Integration examples** with various AI providers and models - -## Getting Started - -1. Choose a notebook based on what you want to learn -2. Follow the installation instructions in each notebook -3. Run the cells sequentially to see CUA in action -4. Adapt the code examples for your specific use cases - -Most notebooks include both cloud-based (Cua Cloud Containers) and local setup options, making them accessible regardless of your environment. \ No newline at end of file From 6cc1c6f92b8f88f6d81aba732fa71b757482f5e5 Mon Sep 17 00:00:00 2001 From: Dillon DuPont Date: Thu, 21 Aug 2025 12:25:15 -0400 Subject: [PATCH 004/103] Removed redundant steps from docker readme --- libs/kasm/README.md | 12 ------------ 1 file changed, 12 deletions(-) diff --git a/libs/kasm/README.md b/libs/kasm/README.md index 6a504507..2a383535 100644 --- a/libs/kasm/README.md +++ b/libs/kasm/README.md @@ -21,18 +21,6 @@ docker build -t cua-ubuntu:latest . ### Pushing to Registry -To push the container to a Docker registry: - -```bash -# Tag for your registry (replace with your registry URL) -docker tag cua-ubuntu:latest your-registry.com/cua-ubuntu:latest - -# Push to registry -docker push your-registry.com/cua-ubuntu:latest -``` - -For Docker Hub: - ```bash # Tag for Docker Hub (replace 'trycua' with your Docker Hub username) docker tag cua-ubuntu:latest trycua/cua-ubuntu:latest From 9766e12b8d7d2d2da65657fcf0b25716de7d514e Mon Sep 17 00:00:00 2001 From: James Murdza Date: Thu, 21 Aug 2025 16:35:15 -0400 Subject: [PATCH 005/103] Restrict project to Python versions below 3.14 --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 215809a5..7405d286 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -11,7 +11,7 @@ description = "CUA (Computer Use Agent) mono-repo" license = { text = "MIT" } name = "cua-workspace" readme = "README.md" -requires-python = ">=3.12" +requires-python = "<3.14,>=3.12" version = "0.1.0" [project.urls] From 02e5e62591cb302bb1a84c3a1dea627c1fd9bbf7 Mon Sep 17 00:00:00 2001 From: James Murdza Date: Thu, 21 Aug 2025 12:16:03 -0400 Subject: [PATCH 006/103] Fix out-of-date agent SDK code in operator example --- notebooks/blog/build-your-own-operator-on-macos-2.ipynb | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/notebooks/blog/build-your-own-operator-on-macos-2.ipynb b/notebooks/blog/build-your-own-operator-on-macos-2.ipynb index ba039bfe..db4a8872 100644 --- a/notebooks/blog/build-your-own-operator-on-macos-2.ipynb +++ b/notebooks/blog/build-your-own-operator-on-macos-2.ipynb @@ -78,7 +78,7 @@ "outputs": [], "source": [ "from computer import Computer\n", - "from agent import ComputerAgent, LLM, AgentLoop, LLMProvider" + "from agent import ComputerAgent" ] }, { @@ -129,7 +129,7 @@ "outputs": [], "source": [ "agent = ComputerAgent(\n", - " computer=[computer],\n", + " tools=[computer],\n", " model=\"openai/computer-use-preview\",\n", " save_trajectory=True,\n", " only_n_most_recent_images=3,\n", @@ -170,7 +170,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.11" + "version": "3.12.11" } }, "nbformat": 4, From b302a44ccf6c32e7e4cf70c72e4b0bc6521f9e95 Mon Sep 17 00:00:00 2001 From: James Murdza Date: Thu, 21 Aug 2025 16:24:21 -0400 Subject: [PATCH 007/103] Remove nonexistent script from computer server notebook --- notebooks/computer_server_nb.ipynb | 32 +----------------------------- 1 file changed, 1 insertion(+), 31 deletions(-) diff --git a/notebooks/computer_server_nb.ipynb b/notebooks/computer_server_nb.ipynb index fee6e048..8a6867ba 100644 --- a/notebooks/computer_server_nb.ipynb +++ b/notebooks/computer_server_nb.ipynb @@ -49,36 +49,6 @@ "## Start the Computer server" ] }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "==> Starting computer-server on 0.0.0.0:8000...\n", - "Starting computer-server on 0.0.0.0:8000...\n", - "\u001b[32mINFO\u001b[0m: Started server process [\u001b[36m65480\u001b[0m]\n", - "\u001b[32mINFO\u001b[0m: Waiting for application startup.\n", - "\u001b[32mINFO\u001b[0m: Application startup complete.\n", - "\u001b[32mINFO\u001b[0m: Uvicorn running on \u001b[1mhttp://0.0.0.0:8000\u001b[0m (Press CTRL+C to quit)\n", - "^C\n", - "\u001b[32mINFO\u001b[0m: Shutting down\n", - "\u001b[32mINFO\u001b[0m: Waiting for application shutdown.\n", - "\u001b[32mINFO\u001b[0m: Application shutdown complete.\n", - "\u001b[32mINFO\u001b[0m: Finished server process [\u001b[36m65480\u001b[0m]\n" - ] - } - ], - "source": [ - "import os\n", - "# os.chdir('../../scripts')\n", - "\n", - "! ./run_computer_server.sh\n" - ] - }, { "cell_type": "code", "execution_count": null, @@ -109,7 +79,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.2" + "version": "3.13.5" } }, "nbformat": 4, From bca252b721115d8cdda920addfc3d1c40cfe3a67 Mon Sep 17 00:00:00 2001 From: James Murdza Date: Thu, 21 Aug 2025 16:27:14 -0400 Subject: [PATCH 008/103] Rename environment variables to follow convention --- examples/computer-example-ts/.env.example | 4 ++-- examples/computer-example-ts/README.md | 4 ++-- examples/computer-example-ts/src/index.ts | 4 ++-- 3 files changed, 6 insertions(+), 6 deletions(-) diff --git a/examples/computer-example-ts/.env.example b/examples/computer-example-ts/.env.example index 0496a574..260259a3 100644 --- a/examples/computer-example-ts/.env.example +++ b/examples/computer-example-ts/.env.example @@ -1,3 +1,3 @@ -OPENAI_KEY= -CUA_KEY= +OPENAI_API_KEY= +CUA_API_KEY= CUA_CONTAINER_NAME= \ No newline at end of file diff --git a/examples/computer-example-ts/README.md b/examples/computer-example-ts/README.md index 935588aa..500362c9 100644 --- a/examples/computer-example-ts/README.md +++ b/examples/computer-example-ts/README.md @@ -19,8 +19,8 @@ This example demonstrates how to control a cua Cloud container using the OpenAI 2. **Set up environment variables:** Create a `.env` file with the following variables: - - `OPENAI_KEY` — your OpenAI API key - - `CUA_KEY` — your cua Cloud API key + - `OPENAI_API_KEY` — your OpenAI API key + - `CUA_API_KEY` — your cua Cloud API key - `CUA_CONTAINER_NAME` — the name of your provisioned container 3. **Run the example:** diff --git a/examples/computer-example-ts/src/index.ts b/examples/computer-example-ts/src/index.ts index 1077e088..d58a9843 100644 --- a/examples/computer-example-ts/src/index.ts +++ b/examples/computer-example-ts/src/index.ts @@ -4,13 +4,13 @@ import { executeAction } from "./helpers"; import "dotenv/config"; -const openai = new OpenAI({ apiKey: process.env.OPENAI_KEY }); +const openai = new OpenAI({ apiKey: process.env.OPENAI_API_KEY }); const COMPUTER_USE_PROMPT = "Open firefox and go to trycua.com"; // Initialize the Computer Connection const computer = new Computer({ - apiKey: process.env.CUA_KEY!, + apiKey: process.env.CUA_API_KEY!, name: process.env.CUA_CONTAINER_NAME!, osType: OSType.LINUX, }); From 15dd34edf31cfb736976d6c2ac3ca67118546fe0 Mon Sep 17 00:00:00 2001 From: James Murdza Date: Thu, 21 Aug 2025 16:28:03 -0400 Subject: [PATCH 009/103] Add package-lock.json to computer SDK example --- .../computer-example-ts/package-lock.json | 841 ++++++++++++++++++ 1 file changed, 841 insertions(+) create mode 100644 examples/computer-example-ts/package-lock.json diff --git a/examples/computer-example-ts/package-lock.json b/examples/computer-example-ts/package-lock.json new file mode 100644 index 00000000..ecee9d6f --- /dev/null +++ b/examples/computer-example-ts/package-lock.json @@ -0,0 +1,841 @@ +{ + "name": "computer-example-ts", + "version": "1.0.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "computer-example-ts", + "version": "1.0.0", + "license": "MIT", + "dependencies": { + "@trycua/computer": "^0.1.3", + "dotenv": "^16.5.0", + "openai": "^5.7.0" + }, + "devDependencies": { + "@types/node": "^22.15.33", + "tsx": "^4.20.3", + "typescript": "^5.8.3" + } + }, + "node_modules/@esbuild/aix-ppc64": { + "version": "0.25.9", + 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"https://registry.npmjs.org/ws/-/ws-8.18.3.tgz", + "integrity": "sha512-PEIGCY5tSlUt50cqyMXfCzX+oOPqN0vuGqWzbcJ2xvnkzkq46oOpz7dQaTDBdfICb4N14+GARUDw2XV2N4tvzg==", + "license": "MIT", + "engines": { + "node": ">=10.0.0" + }, + "peerDependencies": { + "bufferutil": "^4.0.1", + "utf-8-validate": ">=5.0.2" + }, + "peerDependenciesMeta": { + "bufferutil": { + "optional": true + }, + "utf-8-validate": { + "optional": true + } + } + } + } +} From 141c9d3ad7f9c80c9b86db84e12fc279f681bc45 Mon Sep 17 00:00:00 2001 From: James Murdza Date: Thu, 21 Aug 2025 17:14:55 -0400 Subject: [PATCH 010/103] Fix out-of-date agent SDK code in notebook --- notebooks/agent_nb.ipynb | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/notebooks/agent_nb.ipynb b/notebooks/agent_nb.ipynb index 66b66203..8fc02b31 100644 --- a/notebooks/agent_nb.ipynb +++ b/notebooks/agent_nb.ipynb @@ -78,7 +78,7 @@ "outputs": [], "source": [ "from computer import Computer, VMProviderType\n", - "from agent import ComputerAgent, LLM, AgentLoop, LLMProvider" + "from agent import ComputerAgent" ] }, { @@ -184,8 +184,8 @@ "\n", "# Create agent\n", "agent = ComputerAgent(\n", + " model=\"openai/computer-use-preview\",\n", " tools=[computer],\n", - " model=\"computer-use-preview\",\n", " trajectory_dir=str(Path(\"trajectories\")),\n", " only_n_most_recent_images=3,\n", " verbosity=logging.INFO\n", @@ -331,7 +331,7 @@ "source": [ "import logging\n", "from pathlib import Path\n", - "from agent import ComputerAgent, LLM, AgentLoop\n", + "from agent import ComputerAgent\n", "\n", "computer = Computer(verbosity=logging.INFO)\n", "\n", From 33f81131d984ec2f6965d78a726c5d942a511bf1 Mon Sep 17 00:00:00 2001 From: James Murdza Date: Thu, 21 Aug 2025 17:15:08 -0400 Subject: [PATCH 011/103] Fix variable name --- notebooks/agent_nb.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/notebooks/agent_nb.ipynb b/notebooks/agent_nb.ipynb index 8fc02b31..a01dbf33 100644 --- a/notebooks/agent_nb.ipynb +++ b/notebooks/agent_nb.ipynb @@ -213,7 +213,7 @@ "\n", "for i, task in enumerate(tasks):\n", " print(f\"\\nExecuting task {i+1}/{len(tasks)}: {task}\")\n", - " async for result in cloud_agent.run(task):\n", + " async for result in agent.run(task):\n", " # print(result)\n", " pass\n", " print(f\"✅ Task {i+1}/{len(tasks)} completed: {task}\")\n" From 3b76612d66b45d46c45ce3b3b13525ee2760deb8 Mon Sep 17 00:00:00 2001 From: James Murdza Date: Thu, 21 Aug 2025 17:31:38 -0400 Subject: [PATCH 012/103] Initialize computer before taking screenshot --- notebooks/computer_nb.ipynb | 2 ++ 1 file changed, 2 insertions(+) diff --git a/notebooks/computer_nb.ipynb b/notebooks/computer_nb.ipynb index d1d97d12..24e4ef7a 100644 --- a/notebooks/computer_nb.ipynb +++ b/notebooks/computer_nb.ipynb @@ -153,6 +153,8 @@ "metadata": {}, "outputs": [], "source": [ + "await computer.run() # Initialize the computer first\n", + "\n", "screenshot = await computer.interface.screenshot()\n", "\n", "with open(\"screenshot.png\", \"wb\") as f:\n", From f9a317c190e73771d57e3c215e02fb2e5088811a Mon Sep 17 00:00:00 2001 From: James Murdza Date: Thu, 21 Aug 2025 17:32:36 -0400 Subject: [PATCH 013/103] Use correct return type for run_command --- notebooks/computer_nb.ipynb | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/notebooks/computer_nb.ipynb b/notebooks/computer_nb.ipynb index 24e4ef7a..698db37c 100644 --- a/notebooks/computer_nb.ipynb +++ b/notebooks/computer_nb.ipynb @@ -462,7 +462,8 @@ "dir_exists = await computer.interface.directory_exists(\"/path/to/directory\")\n", "\n", "# Run shell commands\n", - "stdout, stderr = await computer.interface.run_command(\"ls -la\")" + "result = await computer.interface.run_command(\"ls -la\")\n", + "stdout, stderr, returncode = result.stdout, result.stderr, result.returncode" ] }, { @@ -603,7 +604,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.2" + "version": "3.13.5" } }, "nbformat": 4, From f72a03be97f18f60262f2ecbe286dd52b3220f50 Mon Sep 17 00:00:00 2001 From: Dillon DuPont Date: Fri, 22 Aug 2025 13:00:04 -0400 Subject: [PATCH 014/103] Restored MLX/ adapter --- libs/python/agent/agent/adapters/__init__.py | 2 + .../agent/agent/adapters/mlxvlm_adapter.py | 284 ++++++++++++++++++ libs/python/agent/agent/agent.py | 5 +- 3 files changed, 290 insertions(+), 1 deletion(-) create mode 100644 libs/python/agent/agent/adapters/mlxvlm_adapter.py diff --git a/libs/python/agent/agent/adapters/__init__.py b/libs/python/agent/agent/adapters/__init__.py index 3a5c0301..1f07a9fc 100644 --- a/libs/python/agent/agent/adapters/__init__.py +++ b/libs/python/agent/agent/adapters/__init__.py @@ -4,8 +4,10 @@ Adapters package for agent - Custom LLM adapters for LiteLLM from .huggingfacelocal_adapter import HuggingFaceLocalAdapter from .human_adapter import HumanAdapter +from .mlxvlm_adapter import MLXVLMAdapter __all__ = [ "HuggingFaceLocalAdapter", "HumanAdapter", + "MLXVLMAdapter", ] diff --git a/libs/python/agent/agent/adapters/mlxvlm_adapter.py b/libs/python/agent/agent/adapters/mlxvlm_adapter.py new file mode 100644 index 00000000..8daf4bdd --- /dev/null +++ b/libs/python/agent/agent/adapters/mlxvlm_adapter.py @@ -0,0 +1,284 @@ +import asyncio +import functools +import warnings +from concurrent.futures import ThreadPoolExecutor +from typing import Iterator, AsyncIterator, Dict, List, Any, Optional +from litellm.types.utils import GenericStreamingChunk, ModelResponse +from litellm.llms.custom_llm import CustomLLM +from litellm import completion, acompletion +import base64 +from io import BytesIO +from PIL import Image + +# Try to import MLX-VLM dependencies +try: + import mlx.core as mx + from mlx_vlm import load + from mlx_vlm.utils import generate + MLX_VLM_AVAILABLE = True +except ImportError: + MLX_VLM_AVAILABLE = False + + +class MLXVLMAdapter(CustomLLM): + """MLX-VLM Adapter for running vision-language models locally using Apple's MLX framework.""" + + def __init__(self, **kwargs): + """Initialize the adapter. + + Args: + **kwargs: Additional arguments + """ + super().__init__() + self.models = {} # Cache for loaded models + self.processors = {} # Cache for loaded processors + self._executor = ThreadPoolExecutor(max_workers=1) # Single thread pool + + if not MLX_VLM_AVAILABLE: + raise ImportError("MLX-VLM dependencies not available. Please install mlx-vlm.") + + def _load_model_and_processor(self, model_name: str): + """Load model and processor if not already cached. + + Args: + model_name: Name of the model to load + + Returns: + Tuple of (model, processor) + """ + if model_name not in self.models: + # Load model and processor using mlx-vlm + model, processor = load( + model_name, + processor_kwargs={ + "min_pixels": 256 * 28 * 28, + "max_pixels": 1512 * 982 + } + ) + + # Cache them + self.models[model_name] = model + self.processors[model_name] = processor + + return self.models[model_name], self.processors[model_name] + + def _convert_messages(self, messages: List[Dict[str, Any]]) -> List[Dict[str, Any]]: + """Convert OpenAI format messages to MLX-VLM format. + + Args: + messages: Messages in OpenAI format + + Returns: + Messages in MLX-VLM format + """ + converted_messages = [] + + for message in messages: + converted_message = { + "role": message["role"], + "content": [] + } + + content = message.get("content", []) + if isinstance(content, str): + # Simple text content + converted_message["content"].append({ + "type": "text", + "text": content + }) + elif isinstance(content, list): + # Multi-modal content + for item in content: + if item.get("type") == "text": + converted_message["content"].append({ + "type": "text", + "text": item.get("text", "") + }) + elif item.get("type") == "image_url": + # Convert image_url format to image format + image_url = item.get("image_url", {}).get("url", "") + converted_message["content"].append({ + "type": "image", + "image": image_url + }) + elif item.get("type") == "image": + # Direct image format - pass through + converted_message["content"].append(item) + + converted_messages.append(converted_message) + + return converted_messages + + def _process_image_from_url(self, image_url: str) -> Image.Image: + """Process image from URL (base64 or file path). + + Args: + image_url: Image URL (data:image/... or file path) + + Returns: + PIL Image object + """ + if image_url.startswith("data:image/"): + # Base64 encoded image + header, data = image_url.split(",", 1) + image_data = base64.b64decode(data) + return Image.open(BytesIO(image_data)) + else: + # File path or URL + return Image.open(image_url) + + def _extract_image_from_messages(self, messages: List[Dict[str, Any]]) -> Optional[Image.Image]: + """Extract the first image from messages. + + Args: + messages: List of messages + + Returns: + PIL Image object or None + """ + for message in messages: + content = message.get("content", []) + if isinstance(content, list): + for item in content: + if item.get("type") == "image": + image_url = item.get("image", "") + if image_url: + return self._process_image_from_url(image_url) + elif item.get("type") == "image_url": + image_url = item.get("image_url", {}).get("url", "") + if image_url: + return self._process_image_from_url(image_url) + return None + + def _generate(self, **kwargs) -> str: + """Generate response using the local MLX-VLM model. + + Args: + **kwargs: Keyword arguments containing messages and model info + + Returns: + Generated text response + """ + messages = kwargs.get('messages', []) + model_name = kwargs.get('model', 'mlx-community/Qwen2.5-VL-7B-Instruct-4bit') + max_tokens = kwargs.get('max_tokens', 1000) + temperature = kwargs.get('temperature', 0.1) + + # Warn about ignored kwargs + ignored_kwargs = set(kwargs.keys()) - {'messages', 'model', 'max_tokens', 'temperature'} + if ignored_kwargs: + warnings.warn(f"Ignoring unsupported kwargs: {ignored_kwargs}") + + # Load model and processor + model, processor = self._load_model_and_processor(model_name) + + # Convert messages to MLX-VLM format + mlx_messages = self._convert_messages(messages) + + # Extract image from messages + image = self._extract_image_from_messages(mlx_messages) + + # Apply chat template + prompt = processor.apply_chat_template( + mlx_messages, + tokenize=False, + add_generation_prompt=True, + ) + + # Generate response using mlx-vlm + try: + response = generate( + model, + processor, + prompt, + image, # type: ignore + temperature=temperature, + max_tokens=max_tokens, + verbose=False, + ) + + # Clear MLX cache to free memory + mx.metal.clear_cache() + + return response + + except Exception as e: + # Clear cache on error too + mx.metal.clear_cache() + raise e + + def completion(self, *args, **kwargs) -> ModelResponse: + """Synchronous completion method. + + Returns: + ModelResponse with generated text + """ + generated_text = self._generate(**kwargs) + + response = completion( + model=f"mlx/{kwargs.get('model', 'default')}", + mock_response=generated_text, + ) + return response # type: ignore + + async def acompletion(self, *args, **kwargs) -> ModelResponse: + """Asynchronous completion method. + + Returns: + ModelResponse with generated text + """ + # Run _generate in thread pool to avoid blocking + loop = asyncio.get_event_loop() + generated_text = await loop.run_in_executor( + self._executor, + functools.partial(self._generate, **kwargs) + ) + + response = await acompletion( + model=f"mlx/{kwargs.get('model', 'default')}", + mock_response=generated_text, + ) + return response # type: ignore + + def streaming(self, *args, **kwargs) -> Iterator[GenericStreamingChunk]: + """Synchronous streaming method. + + Returns: + Iterator of GenericStreamingChunk + """ + generated_text = self._generate(**kwargs) + + generic_streaming_chunk: GenericStreamingChunk = { + "finish_reason": "stop", + "index": 0, + "is_finished": True, + "text": generated_text, + "tool_use": None, + "usage": {"completion_tokens": 0, "prompt_tokens": 0, "total_tokens": 0}, + } + + yield generic_streaming_chunk + + async def astreaming(self, *args, **kwargs) -> AsyncIterator[GenericStreamingChunk]: + """Asynchronous streaming method. + + Returns: + AsyncIterator of GenericStreamingChunk + """ + # Run _generate in thread pool to avoid blocking + loop = asyncio.get_event_loop() + generated_text = await loop.run_in_executor( + self._executor, + functools.partial(self._generate, **kwargs) + ) + + generic_streaming_chunk: GenericStreamingChunk = { + "finish_reason": "stop", + "index": 0, + "is_finished": True, + "text": generated_text, + "tool_use": None, + "usage": {"completion_tokens": 0, "prompt_tokens": 0, "total_tokens": 0}, + } + + yield generic_streaming_chunk diff --git a/libs/python/agent/agent/agent.py b/libs/python/agent/agent/agent.py index 78fc3f45..2ed370ba 100644 --- a/libs/python/agent/agent/agent.py +++ b/libs/python/agent/agent/agent.py @@ -22,6 +22,7 @@ import inspect from .adapters import ( HuggingFaceLocalAdapter, HumanAdapter, + MLXVLMAdapter, ) from .callbacks import ( ImageRetentionCallback, @@ -234,9 +235,11 @@ class ComputerAgent: device="auto" ) human_adapter = HumanAdapter() + mlx_adapter = MLXVLMAdapter() litellm.custom_provider_map = [ {"provider": "huggingface-local", "custom_handler": hf_adapter}, - {"provider": "human", "custom_handler": human_adapter} + {"provider": "human", "custom_handler": human_adapter}, + {"provider": "mlx", "custom_handler": mlx_adapter} ] litellm.suppress_debug_info = True From eeb2be9b962a5befe9d624c5d697c73e3c25b845 Mon Sep 17 00:00:00 2001 From: Dillon DuPont Date: Fri, 22 Aug 2025 13:16:16 -0400 Subject: [PATCH 015/103] Fixed incorrect special token --- .../agent/agent/adapters/mlxvlm_adapter.py | 320 +++++++++++------- libs/python/agent/agent/loops/uitars.py | 25 +- 2 files changed, 214 insertions(+), 131 deletions(-) diff --git a/libs/python/agent/agent/adapters/mlxvlm_adapter.py b/libs/python/agent/agent/adapters/mlxvlm_adapter.py index 8daf4bdd..c38f4ad6 100644 --- a/libs/python/agent/agent/adapters/mlxvlm_adapter.py +++ b/libs/python/agent/agent/adapters/mlxvlm_adapter.py @@ -1,27 +1,75 @@ import asyncio import functools import warnings +import io +import base64 +import math +import re from concurrent.futures import ThreadPoolExecutor -from typing import Iterator, AsyncIterator, Dict, List, Any, Optional +from typing import Iterator, AsyncIterator, Dict, List, Any, Optional, Tuple, cast +from PIL import Image from litellm.types.utils import GenericStreamingChunk, ModelResponse from litellm.llms.custom_llm import CustomLLM from litellm import completion, acompletion -import base64 -from io import BytesIO -from PIL import Image -# Try to import MLX-VLM dependencies +# Try to import MLX dependencies try: import mlx.core as mx - from mlx_vlm import load - from mlx_vlm.utils import generate - MLX_VLM_AVAILABLE = True + from mlx_vlm import load, generate + from mlx_vlm.prompt_utils import apply_chat_template + from mlx_vlm.utils import load_config + from transformers.tokenization_utils import PreTrainedTokenizer + MLX_AVAILABLE = True except ImportError: - MLX_VLM_AVAILABLE = False + MLX_AVAILABLE = False + +# Constants for smart_resize +IMAGE_FACTOR = 28 +MIN_PIXELS = 100 * 28 * 28 +MAX_PIXELS = 16384 * 28 * 28 +MAX_RATIO = 200 + +def round_by_factor(number: float, factor: int) -> int: + """Returns the closest integer to 'number' that is divisible by 'factor'.""" + return round(number / factor) * factor + +def ceil_by_factor(number: float, factor: int) -> int: + """Returns the smallest integer greater than or equal to 'number' that is divisible by 'factor'.""" + return math.ceil(number / factor) * factor + +def floor_by_factor(number: float, factor: int) -> int: + """Returns the largest integer less than or equal to 'number' that is divisible by 'factor'.""" + return math.floor(number / factor) * factor + +def smart_resize( + height: int, width: int, factor: int = IMAGE_FACTOR, min_pixels: int = MIN_PIXELS, max_pixels: int = MAX_PIXELS +) -> tuple[int, int]: + """ + Rescales the image so that the following conditions are met: + + 1. Both dimensions (height and width) are divisible by 'factor'. + 2. The total number of pixels is within the range ['min_pixels', 'max_pixels']. + 3. The aspect ratio of the image is maintained as closely as possible. + """ + if max(height, width) / min(height, width) > MAX_RATIO: + raise ValueError( + f"absolute aspect ratio must be smaller than {MAX_RATIO}, got {max(height, width) / min(height, width)}" + ) + h_bar = max(factor, round_by_factor(height, factor)) + w_bar = max(factor, round_by_factor(width, factor)) + if h_bar * w_bar > max_pixels: + beta = math.sqrt((height * width) / max_pixels) + h_bar = floor_by_factor(height / beta, factor) + w_bar = floor_by_factor(width / beta, factor) + elif h_bar * w_bar < min_pixels: + beta = math.sqrt(min_pixels / (height * width)) + h_bar = ceil_by_factor(height * beta, factor) + w_bar = ceil_by_factor(width * beta, factor) + return h_bar, w_bar class MLXVLMAdapter(CustomLLM): - """MLX-VLM Adapter for running vision-language models locally using Apple's MLX framework.""" + """MLX VLM Adapter for running vision-language models locally using MLX.""" def __init__(self, **kwargs): """Initialize the adapter. @@ -30,13 +78,14 @@ class MLXVLMAdapter(CustomLLM): **kwargs: Additional arguments """ super().__init__() + if not MLX_AVAILABLE: + raise ImportError("MLX VLM dependencies not available. Please install mlx-vlm.") + self.models = {} # Cache for loaded models self.processors = {} # Cache for loaded processors + self.configs = {} # Cache for loaded configs self._executor = ThreadPoolExecutor(max_workers=1) # Single thread pool - if not MLX_VLM_AVAILABLE: - raise ImportError("MLX-VLM dependencies not available. Please install mlx-vlm.") - def _load_model_and_processor(self, model_name: str): """Load model and processor if not already cached. @@ -44,37 +93,64 @@ class MLXVLMAdapter(CustomLLM): model_name: Name of the model to load Returns: - Tuple of (model, processor) + Tuple of (model, processor, config) """ if model_name not in self.models: - # Load model and processor using mlx-vlm - model, processor = load( - model_name, - processor_kwargs={ - "min_pixels": 256 * 28 * 28, - "max_pixels": 1512 * 982 - } + # Load model and processor + model_obj, processor = load( + model_name, + processor_kwargs={"min_pixels": MIN_PIXELS, "max_pixels": MAX_PIXELS} ) + config = load_config(model_name) # Cache them - self.models[model_name] = model + self.models[model_name] = model_obj self.processors[model_name] = processor + self.configs[model_name] = config - return self.models[model_name], self.processors[model_name] + return self.models[model_name], self.processors[model_name], self.configs[model_name] - def _convert_messages(self, messages: List[Dict[str, Any]]) -> List[Dict[str, Any]]: - """Convert OpenAI format messages to MLX-VLM format. + def _process_coordinates(self, text: str, original_size: Tuple[int, int], model_size: Tuple[int, int]) -> str: + """Process coordinates in box tokens based on image resizing using smart_resize approach. + + Args: + text: Text containing box tokens + original_size: Original image size (width, height) + model_size: Model processed image size (width, height) + + Returns: + Text with processed coordinates + """ + # Find all box tokens + box_pattern = r"<\|box_start\|>\((\d+),\s*(\d+)\)<\|box_end\|>" + + def process_coords(match): + model_x, model_y = int(match.group(1)), int(match.group(2)) + # Scale coordinates from model space to original image space + # Both original_size and model_size are in (width, height) format + new_x = int(model_x * original_size[0] / model_size[0]) # Width + new_y = int(model_y * original_size[1] / model_size[1]) # Height + return f"<|box_start|>({new_x},{new_y})<|box_end|>" + + return re.sub(box_pattern, process_coords, text) + + def _convert_messages(self, messages: List[Dict[str, Any]]) -> Tuple[List[Dict[str, Any]], List[Image.Image], Dict[int, Tuple[int, int]], Dict[int, Tuple[int, int]]]: + """Convert OpenAI format messages to MLX VLM format and extract images. Args: messages: Messages in OpenAI format Returns: - Messages in MLX-VLM format + Tuple of (processed_messages, images, original_sizes, model_sizes) """ - converted_messages = [] + processed_messages = [] + images = [] + original_sizes = {} # Track original sizes of images for coordinate mapping + model_sizes = {} # Track model processed sizes + image_index = 0 for message in messages: - converted_message = { + processed_message = { "role": message["role"], "content": [] } @@ -82,76 +158,60 @@ class MLXVLMAdapter(CustomLLM): content = message.get("content", []) if isinstance(content, str): # Simple text content - converted_message["content"].append({ - "type": "text", - "text": content - }) + processed_message["content"] = content elif isinstance(content, list): # Multi-modal content + processed_content = [] for item in content: if item.get("type") == "text": - converted_message["content"].append({ + processed_content.append({ "type": "text", "text": item.get("text", "") }) elif item.get("type") == "image_url": - # Convert image_url format to image format image_url = item.get("image_url", {}).get("url", "") - converted_message["content"].append({ - "type": "image", - "image": image_url + pil_image = None + + if image_url.startswith("data:image/"): + # Extract base64 data + base64_data = image_url.split(',')[1] + # Convert base64 to PIL Image + image_data = base64.b64decode(base64_data) + pil_image = Image.open(io.BytesIO(image_data)) + else: + # Handle file path or URL + pil_image = Image.open(image_url) + + # Store original image size for coordinate mapping + original_size = pil_image.size + original_sizes[image_index] = original_size + + # Use smart_resize to determine model size + # Note: smart_resize expects (height, width) but PIL gives (width, height) + height, width = original_size[1], original_size[0] + new_height, new_width = smart_resize(height, width) + # Store model size in (width, height) format for consistent coordinate processing + model_sizes[image_index] = (new_width, new_height) + + # Resize the image using the calculated dimensions from smart_resize + resized_image = pil_image.resize((new_width, new_height)) + images.append(resized_image) + + # Add image placeholder to content + processed_content.append({ + "type": "image" }) - elif item.get("type") == "image": - # Direct image format - pass through - converted_message["content"].append(item) + + image_index += 1 + + processed_message["content"] = processed_content - converted_messages.append(converted_message) - - return converted_messages - - def _process_image_from_url(self, image_url: str) -> Image.Image: - """Process image from URL (base64 or file path). + processed_messages.append(processed_message) - Args: - image_url: Image URL (data:image/... or file path) - - Returns: - PIL Image object - """ - if image_url.startswith("data:image/"): - # Base64 encoded image - header, data = image_url.split(",", 1) - image_data = base64.b64decode(data) - return Image.open(BytesIO(image_data)) - else: - # File path or URL - return Image.open(image_url) - - def _extract_image_from_messages(self, messages: List[Dict[str, Any]]) -> Optional[Image.Image]: - """Extract the first image from messages. - - Args: - messages: List of messages - - Returns: - PIL Image object or None - """ - for message in messages: - content = message.get("content", []) - if isinstance(content, list): - for item in content: - if item.get("type") == "image": - image_url = item.get("image", "") - if image_url: - return self._process_image_from_url(image_url) - elif item.get("type") == "image_url": - image_url = item.get("image_url", {}).get("url", "") - if image_url: - return self._process_image_from_url(image_url) - return None + return processed_messages, images, original_sizes, model_sizes def _generate(self, **kwargs) -> str: - """Generate response using the local MLX-VLM model. + """Generate response using the local MLX VLM model. Args: **kwargs: Keyword arguments containing messages and model info @@ -160,52 +220,66 @@ class MLXVLMAdapter(CustomLLM): Generated text response """ messages = kwargs.get('messages', []) - model_name = kwargs.get('model', 'mlx-community/Qwen2.5-VL-7B-Instruct-4bit') - max_tokens = kwargs.get('max_tokens', 1000) - temperature = kwargs.get('temperature', 0.1) + model_name = kwargs.get('model', 'mlx-community/UI-TARS-1.5-7B-4bit') + max_tokens = kwargs.get('max_tokens', 128) # Warn about ignored kwargs - ignored_kwargs = set(kwargs.keys()) - {'messages', 'model', 'max_tokens', 'temperature'} + ignored_kwargs = set(kwargs.keys()) - {'messages', 'model', 'max_tokens'} if ignored_kwargs: warnings.warn(f"Ignoring unsupported kwargs: {ignored_kwargs}") # Load model and processor - model, processor = self._load_model_and_processor(model_name) + model, processor, config = self._load_model_and_processor(model_name) - # Convert messages to MLX-VLM format - mlx_messages = self._convert_messages(messages) + # Convert messages and extract images + processed_messages, images, original_sizes, model_sizes = self._convert_messages(messages) - # Extract image from messages - image = self._extract_image_from_messages(mlx_messages) + # Process user text input with box coordinates after image processing + # Swap original_size and model_size arguments for inverse transformation + for msg_idx, msg in enumerate(processed_messages): + if msg.get("role") == "user" and isinstance(msg.get("content"), str): + content = msg.get("content", "") + if "<|box_start|>" in content and original_sizes and model_sizes and 0 in original_sizes and 0 in model_sizes: + orig_size = original_sizes[0] + model_size = model_sizes[0] + # Swap arguments to perform inverse transformation for user input + processed_messages[msg_idx]["content"] = self._process_coordinates(content, model_size, orig_size) - # Apply chat template - prompt = processor.apply_chat_template( - mlx_messages, - tokenize=False, - add_generation_prompt=True, - ) - - # Generate response using mlx-vlm try: - response = generate( - model, - processor, - prompt, - image, # type: ignore - temperature=temperature, - max_tokens=max_tokens, + # Format prompt according to model requirements using the processor directly + prompt = processor.apply_chat_template( + processed_messages, + tokenize=False, + add_generation_prompt=True, + return_tensors='pt' + ) + tokenizer = cast(PreTrainedTokenizer, processor) + + # Generate response + text_content, usage = generate( + model, + tokenizer, + str(prompt), + images, # type: ignore verbose=False, + max_tokens=max_tokens ) - # Clear MLX cache to free memory - mx.metal.clear_cache() - - return response - except Exception as e: - # Clear cache on error too - mx.metal.clear_cache() - raise e + raise RuntimeError(f"Error generating response: {str(e)}") from e + + # Process coordinates in the response back to original image space + if original_sizes and model_sizes and 0 in original_sizes and 0 in model_sizes: + # Get original image size and model size (using the first image) + orig_size = original_sizes[0] + model_size = model_sizes[0] + + # Check if output contains box tokens that need processing + if "<|box_start|>" in text_content: + # Process coordinates from model space back to original image space + text_content = self._process_coordinates(text_content, orig_size, model_size) + + return text_content def completion(self, *args, **kwargs) -> ModelResponse: """Synchronous completion method. @@ -215,11 +289,11 @@ class MLXVLMAdapter(CustomLLM): """ generated_text = self._generate(**kwargs) - response = completion( - model=f"mlx/{kwargs.get('model', 'default')}", + result = completion( + model=f"mlx/{kwargs.get('model', 'mlx-community/UI-TARS-1.5-7B-4bit')}", mock_response=generated_text, ) - return response # type: ignore + return cast(ModelResponse, result) async def acompletion(self, *args, **kwargs) -> ModelResponse: """Asynchronous completion method. @@ -234,11 +308,11 @@ class MLXVLMAdapter(CustomLLM): functools.partial(self._generate, **kwargs) ) - response = await acompletion( - model=f"mlx/{kwargs.get('model', 'default')}", + result = await acompletion( + model=f"mlx/{kwargs.get('model', 'mlx-community/UI-TARS-1.5-7B-4bit')}", mock_response=generated_text, ) - return response # type: ignore + return cast(ModelResponse, result) def streaming(self, *args, **kwargs) -> Iterator[GenericStreamingChunk]: """Synchronous streaming method. @@ -281,4 +355,4 @@ class MLXVLMAdapter(CustomLLM): "usage": {"completion_tokens": 0, "prompt_tokens": 0, "total_tokens": 0}, } - yield generic_streaming_chunk + yield generic_streaming_chunk \ No newline at end of file diff --git a/libs/python/agent/agent/loops/uitars.py b/libs/python/agent/agent/loops/uitars.py index 10e0e45a..b5d5423c 100644 --- a/libs/python/agent/agent/loops/uitars.py +++ b/libs/python/agent/agent/loops/uitars.py @@ -228,15 +228,24 @@ def parse_uitars_response(text: str, image_width: int, image_height: int) -> Lis # Handle coordinate parameters if "start_box" in param_name or "end_box" in param_name: - # Parse coordinates like '(x,y)' or '(x1,y1,x2,y2)' - numbers = param.replace("(", "").replace(")", "").split(",") - float_numbers = [float(num.strip()) / 1000 for num in numbers] # Normalize to 0-1 range + # Parse coordinates like '<|box_start|>(x,y)<|box_end|>' or '(x,y)' + # First, remove special tokens + clean_param = param.replace("<|box_start|>", "").replace("<|box_end|>", "") + # Then remove parentheses and split + numbers = clean_param.replace("(", "").replace(")", "").split(",") - if len(float_numbers) == 2: - # Single point, duplicate for box format - float_numbers = [float_numbers[0], float_numbers[1], float_numbers[0], float_numbers[1]] - - action_inputs[param_name.strip()] = str(float_numbers) + try: + float_numbers = [float(num.strip()) / 1000 for num in numbers] # Normalize to 0-1 range + + if len(float_numbers) == 2: + # Single point, duplicate for box format + float_numbers = [float_numbers[0], float_numbers[1], float_numbers[0], float_numbers[1]] + + action_inputs[param_name.strip()] = str(float_numbers) + except ValueError as e: + # If parsing fails, keep the original parameter value + print(f"Warning: Could not parse coordinates '{param}': {e}") + action_inputs[param_name.strip()] = param return [{ "thought": thought, From 71bfbf11cdf00fbe5cdcb9a18cba33d259231223 Mon Sep 17 00:00:00 2001 From: f-trycua Date: Tue, 26 Aug 2025 12:19:43 +0200 Subject: [PATCH 016/103] Add docker container architecture --- docs/content/docs/computer-sdk/computers.mdx | 2 +- docs/content/docs/quickstart-cli.mdx | 2 +- docs/content/docs/quickstart-devs.mdx | 2 +- docs/content/docs/quickstart-ui.mdx | 2 +- 4 files changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/content/docs/computer-sdk/computers.mdx b/docs/content/docs/computer-sdk/computers.mdx index d2b2a3a1..9b920aee 100644 --- a/docs/content/docs/computer-sdk/computers.mdx +++ b/docs/content/docs/computer-sdk/computers.mdx @@ -109,7 +109,7 @@ cua provides local containers using different providers depending on your host o ```bash # Option 1: Pull from Docker Hub - docker pull trycua/cua-ubuntu:latest + docker pull --platform=linux/amd64 trycua/cua-ubuntu:latest # Option 2: Build locally cd libs/kasm diff --git a/docs/content/docs/quickstart-cli.mdx b/docs/content/docs/quickstart-cli.mdx index f9bcdefe..668ec49d 100644 --- a/docs/content/docs/quickstart-cli.mdx +++ b/docs/content/docs/quickstart-cli.mdx @@ -72,7 +72,7 @@ Choose how you want to run your cua computer. **Cloud containers are recommended 2. Pull the CUA Ubuntu container ```bash - docker pull trycua/cua-ubuntu:latest + docker pull --platform=linux/amd64 trycua/cua-ubuntu:latest ``` diff --git a/docs/content/docs/quickstart-devs.mdx b/docs/content/docs/quickstart-devs.mdx index 1ba86e68..9b220081 100644 --- a/docs/content/docs/quickstart-devs.mdx +++ b/docs/content/docs/quickstart-devs.mdx @@ -71,7 +71,7 @@ Choose how you want to run your cua computer. **Cloud containers are recommended 2. Pull the CUA Ubuntu container ```bash - docker pull trycua/cua-ubuntu:latest + docker pull --platform=linux/amd64 trycua/cua-ubuntu:latest ``` diff --git a/docs/content/docs/quickstart-ui.mdx b/docs/content/docs/quickstart-ui.mdx index ad6ea396..72bac935 100644 --- a/docs/content/docs/quickstart-ui.mdx +++ b/docs/content/docs/quickstart-ui.mdx @@ -72,7 +72,7 @@ Choose how you want to run your cua computer. **Cloud containers are recommended 2. Pull the CUA Ubuntu container ```bash - docker pull trycua/cua-ubuntu:latest + docker pull --platform=linux/amd64 trycua/cua-ubuntu:latest ``` From b54b95ac7ff71316a508c0c9ecca9309a61d423f Mon Sep 17 00:00:00 2001 From: f-trycua Date: Tue, 26 Aug 2025 12:52:47 +0200 Subject: [PATCH 017/103] Update license and readme attributions --- LICENSE.md | 2 +- README.md | 12 +++++++++--- 2 files changed, 10 insertions(+), 4 deletions(-) diff --git a/LICENSE.md b/LICENSE.md index 3ae3445c..207f2665 100644 --- a/LICENSE.md +++ b/LICENSE.md @@ -1,6 +1,6 @@ MIT License -Copyright (c) 2025 trycua +Copyright (c) 2025 Cua AI, Inc. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal diff --git a/README.md b/README.md index 85cf88ce..88cced63 100644 --- a/README.md +++ b/README.md @@ -181,17 +181,23 @@ Join our [Discord community](https://discord.com/invite/mVnXXpdE85) to discuss i ## License -Cua is open-sourced under the MIT License - see the [LICENSE](LICENSE) file for details. +Cua is open-sourced under the MIT License - see the [LICENSE](LICENSE) file for details. + +The base image `kasmweb/core-ubuntu-jammy` is maintained by [Kasm Technologies](https://github.com/kasmtech/workspaces-core-images) and distributed under the Apache License 2.0. Usage of that image is subject to its own license terms. Microsoft's OmniParser, which is used in this project, is licensed under the Creative Commons Attribution 4.0 International License (CC-BY-4.0) - see the [OmniParser LICENSE](https://github.com/microsoft/OmniParser/blob/master/LICENSE) file for details. ## Contributing -We welcome contributions to CUA! Please refer to our [Contributing Guidelines](CONTRIBUTING.md) for details. +We welcome contributions to Cua! Please refer to our [Contributing Guidelines](CONTRIBUTING.md) for details. ## Trademarks -Apple, macOS, and Apple Silicon are trademarks of Apple Inc. Ubuntu and Canonical are registered trademarks of Canonical Ltd. Microsoft is a registered trademark of Microsoft Corporation. This project is not affiliated with, endorsed by, or sponsored by Apple Inc., Canonical Ltd., or Microsoft Corporation. +Apple, macOS, and Apple Silicon are trademarks of Apple Inc. +Ubuntu and Canonical are registered trademarks of Canonical Ltd. +Microsoft is a registered trademark of Microsoft Corporation. + +This project is not affiliated with, endorsed by, or sponsored by Apple Inc., Canonical Ltd., Microsoft Corporation, or Kasm Technologies. ## Stargazers From a6406ae1796f05c863efb00517358c5b589fd8c3 Mon Sep 17 00:00:00 2001 From: f-trycua Date: Tue, 26 Aug 2025 13:05:35 +0000 Subject: [PATCH 018/103] Update notebooks for KASM Docker --- notebooks/agent_nb.ipynb | 51 +++- notebooks/computer_nb.ipynb | 505 +++++++++++++++++++++++++++++++++++- 2 files changed, 539 insertions(+), 17 deletions(-) diff --git a/notebooks/agent_nb.ipynb b/notebooks/agent_nb.ipynb index a01dbf33..34b2a56a 100644 --- a/notebooks/agent_nb.ipynb +++ b/notebooks/agent_nb.ipynb @@ -31,13 +31,7 @@ "metadata": {}, "outputs": [], "source": [ - "!pip install \"cua-agent[all]\"\n", - "\n", - "# Or install individual agent loops:\n", - "# !pip install cua-agent[openai]\n", - "# !pip install cua-agent[anthropic]\n", - "# !pip install cua-agent[uitars]\n", - "# !pip install cua-agent[omni]" + "!pip install \"cua-agent[all]\"" ] }, { @@ -223,7 +217,38 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Option 2: Agent with Local VMs (Lume daemon)\n", + "## Option 2: KASM Local Docker Containers (cross-platform)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Before we can create an agent, we need to initialize a local computer with Docker provider." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import logging\n", + "from pathlib import Path\n", + "\n", + "computer = Computer(\n", + " os_type=\"linux\",\n", + " provider_type=\"docker\",\n", + " image=\"trycua/cua-ubuntu:latest\",\n", + " name=\"my-cua-container\"\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Option 3: Agent with Local VMs (Lume daemon)\n", "\n", "For Apple Silicon Macs, run agents on local VMs with near-native performance." ] @@ -259,7 +284,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Create an agent with local VM" + "## Create an agent" ] }, { @@ -289,7 +314,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Run tasks on a local Lume VM" + "Run tasks on a computer:" ] }, { @@ -424,7 +449,7 @@ " model=\"openai/computer-use-preview\",\n", " trajectory_dir=str(Path(\"trajectories\")),\n", " verbosity=logging.INFO\n", - ")\n" + ")" ] }, { @@ -521,7 +546,7 @@ ], "metadata": { "kernelspec": { - "display_name": "cua312", + "display_name": "cua", "language": "python", "name": "python3" }, @@ -535,7 +560,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.9" + "version": "3.13.5" } }, 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67/70 [gradio]\n", + " -------------------------------------- - 67/70 [gradio]\n", + " -------------------------------------- - 67/70 [gradio]\n", + " -------------------------------------- - 67/70 [gradio]\n", + " -------------------------------------- - 67/70 [gradio]\n", + " -------------------------------------- - 68/70 [datasets]\n", + " -------------------------------------- - 68/70 [datasets]\n", + " -------------------------------------- - 68/70 [datasets]\n", + " -------------------------------------- - 68/70 [datasets]\n", + " -------------------------------------- - 68/70 [datasets]\n", + " --------------------------------------- 69/70 [cua-computer]\n", + " --------------------------------------- 69/70 [cua-computer]\n", + " ---------------------------------------- 70/70 [cua-computer]\n", + "\n", + "Successfully installed aiofiles-24.1.0 aiohappyeyeballs-2.6.1 aiohttp-3.12.15 aiosignal-1.4.0 annotated-types-0.7.0 anyio-4.10.0 attrs-25.3.0 audioop-lts-0.2.2 backoff-2.2.1 brotli-1.1.0 certifi-2025.8.3 charset_normalizer-3.4.3 click-8.2.1 cua-computer-0.4.4 cua-core-0.1.9 datasets-4.0.0 dill-0.3.8 distro-1.9.0 fastapi-0.116.1 ffmpy-0.6.1 filelock-3.19.1 frozenlist-1.7.0 fsspec-2025.3.0 gradio-5.43.1 gradio-client-1.12.1 groovy-0.1.2 h11-0.16.0 httpcore-1.0.9 httpx-0.28.1 huggingface-hub-0.34.4 idna-3.10 jinja2-3.1.6 markdown-it-py-4.0.0 markupsafe-3.0.2 mdurl-0.1.2 multidict-6.6.4 multiprocess-0.70.16 numpy-2.3.2 orjson-3.11.2 pandas-2.3.2 pillow-11.3.0 posthog-6.6.1 propcache-0.3.2 pyarrow-21.0.0 pydantic-2.11.7 pydantic-core-2.33.2 pydub-0.25.1 python-dotenv-1.1.1 python-multipart-0.0.20 pytz-2025.2 pyyaml-6.0.2 requests-2.32.5 rich-14.1.0 ruff-0.12.10 safehttpx-0.1.6 semantic-version-2.10.0 shellingham-1.5.4 sniffio-1.3.1 starlette-0.47.3 tomlkit-0.13.3 tqdm-4.67.1 typer-0.16.1 typing-inspection-0.4.1 tzdata-2025.2 urllib3-2.5.0 uvicorn-0.35.0 websocket-client-1.8.0 websockets-15.0.1 xxhash-3.5.0 yarl-1.20.1\n" + ] + } + ], "source": [ "!pip uninstall -y cua-computer\n", "!pip install \"cua-computer[all]\"" @@ -165,7 +626,43 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Option 2: Local VMs (Lume daemon)\n", + "## Option 2: KASM Local Docker Containers (cross-platform)\n", + "\n", + "### Pull from Docker Hub\n", + "```bash\n", + "docker pull --platform=linux/amd64 trycua/cua-ubuntu:latest\n", + "```\n", + "\n", + "### Or build locally\n", + "```bash\n", + "cd libs/kasm\n", + "docker build -t cua-ubuntu:latest .\n", + "```" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from computer import Computer\n", + "\n", + "computer = Computer(\n", + " os_type=\"linux\",\n", + " provider_type=\"docker\",\n", + " image=\"trycua/cua-ubuntu:latest\",\n", + " name=\"my-cua-container\"\n", + ")\n", + "\n", + "await computer.run() # Launch & connect to Docker container" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Option 3: Local VMs (Lume daemon)\n", "\n", "For Apple Silicon Macs, you can run VMs locally using the Lume daemon." ] @@ -590,7 +1087,7 @@ ], "metadata": { "kernelspec": { - "display_name": ".venv", + "display_name": "cua", "language": "python", "name": "python3" }, From 26565beaa0eead7bd316d10b994a362bfface08b Mon Sep 17 00:00:00 2001 From: James Murdza Date: Tue, 26 Aug 2025 10:39:06 -0400 Subject: [PATCH 019/103] Add missing callbacks page to docs --- docs/content/docs/agent-sdk/callbacks/index.mdx | 15 +++++++++++++++ 1 file changed, 15 insertions(+) create mode 100644 docs/content/docs/agent-sdk/callbacks/index.mdx diff --git a/docs/content/docs/agent-sdk/callbacks/index.mdx b/docs/content/docs/agent-sdk/callbacks/index.mdx new file mode 100644 index 00000000..a432f5d4 --- /dev/null +++ b/docs/content/docs/agent-sdk/callbacks/index.mdx @@ -0,0 +1,15 @@ +--- +title: Callbacks +--- + +Callbacks in the Agent SDK provide hooks into the agent's lifecycle, allowing for custom functionality to be executed at various stages of an agent's run. They enable extensibility by allowing developers to integrate their own logic for tasks such as logging, cost management, and data anonymization. + +This section details the various callbacks available in the Agent SDK. + +## Available Callbacks + +- [Agent Lifecycle](agent-lifecycle.mdx) +- [Cost Saving](cost-saving.mdx) +- [Logging](logging.mdx) +- [PII Anonymization](pii-anonymization.mdx) +- [Trajectories](trajectories.mdx) From ba15aed316c4f3efffb2d697f96ef9e51503f6ae Mon Sep 17 00:00:00 2001 From: James Murdza Date: Tue, 26 Aug 2025 10:39:13 -0400 Subject: [PATCH 020/103] Fix broken links in docs --- docs/content/docs/agent-sdk/benchmarks/index.mdx | 6 +++--- docs/content/docs/agent-sdk/usage-tracking.mdx | 2 +- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/content/docs/agent-sdk/benchmarks/index.mdx b/docs/content/docs/agent-sdk/benchmarks/index.mdx index 59e9b7ad..6397b2ec 100644 --- a/docs/content/docs/agent-sdk/benchmarks/index.mdx +++ b/docs/content/docs/agent-sdk/benchmarks/index.mdx @@ -9,9 +9,9 @@ The benchmark system evaluates models on GUI grounding tasks, specifically agent ## Available Benchmarks -- **[ScreenSpot-v2](./screenspot-v2)** - Standard resolution GUI grounding -- **[ScreenSpot-Pro](./screenspot-pro)** - High-resolution GUI grounding -- **[Interactive Testing](./interactive)** - Real-time testing and visualization +- **[ScreenSpot-v2](./benchmarks/screenspot-v2)** - Standard resolution GUI grounding +- **[ScreenSpot-Pro](./benchmarks/screenspot-pro)** - High-resolution GUI grounding +- **[Interactive Testing](./benchmarks/interactive)** - Real-time testing and visualization ## Quick Start diff --git a/docs/content/docs/agent-sdk/usage-tracking.mdx b/docs/content/docs/agent-sdk/usage-tracking.mdx index 54bbcaae..2709d738 100644 --- a/docs/content/docs/agent-sdk/usage-tracking.mdx +++ b/docs/content/docs/agent-sdk/usage-tracking.mdx @@ -56,7 +56,7 @@ agent = ComputerAgent( ) ``` -See also: [Budget Manager Callbacks](./callbacks#cost-saving) +See also: [Budget Manager Callbacks](./callbacks/cost-saving) ## See Also - [Prompt Caching](./prompt-caching) From 46801edebfba85cfd417c8fa67c600b03d55375a Mon Sep 17 00:00:00 2001 From: James Murdza Date: Tue, 26 Aug 2025 10:39:48 -0400 Subject: [PATCH 021/103] Add package-lock.json to docs --- docs/package-lock.json | 7189 ++++++++++++++++++++++++++++++++++++++++ 1 file changed, 7189 insertions(+) create mode 100644 docs/package-lock.json diff --git a/docs/package-lock.json b/docs/package-lock.json new file mode 100644 index 00000000..e4379add --- /dev/null +++ b/docs/package-lock.json @@ -0,0 +1,7189 @@ +{ + "name": "docs", + "version": "0.0.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "docs", + "version": "0.0.0", + "hasInstallScript": true, + "dependencies": { + "fumadocs-core": "15.5.1", + "fumadocs-mdx": "11.6.7", + "fumadocs-ui": "15.5.1", + "lucide-react": "^0.525.0", + "mermaid": "^11.8.1", + 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022/103] Remove broken link --- docs/content/docs/libraries/lume/cli-reference.mdx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/content/docs/libraries/lume/cli-reference.mdx b/docs/content/docs/libraries/lume/cli-reference.mdx index da8bdee1..4837d154 100644 --- a/docs/content/docs/libraries/lume/cli-reference.mdx +++ b/docs/content/docs/libraries/lume/cli-reference.mdx @@ -56,7 +56,7 @@ lume run macos-sequoia-vanilla:latest lume run ubuntu-noble-vanilla:latest ``` -> We provide [prebuilt VM images](#prebuilt-images) in our [ghcr registry](https://github.com/orgs/trycua/packages). +> We provide prebuilt VM images in our [ghcr registry](https://github.com/orgs/trycua/packages). ### Create a Custom VM From afe01ff8313ec86eb72c76fe5e26bae2622a1d66 Mon Sep 17 00:00:00 2001 From: James Murdza Date: Tue, 26 Aug 2025 13:06:44 -0400 Subject: [PATCH 023/103] Add missing comma in example code --- notebooks/agent_nb.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/notebooks/agent_nb.ipynb b/notebooks/agent_nb.ipynb index 34b2a56a..30746780 100644 --- a/notebooks/agent_nb.ipynb +++ b/notebooks/agent_nb.ipynb @@ -302,7 +302,7 @@ "source": [ "# Create agent with Anthropic loop and provider\n", "agent = ComputerAgent(\n", - " model=\"openai/computer-use-preview\"\n", + " model=\"openai/computer-use-preview\",\n", " tools=[computer],\n", " trajectory_dir=str(Path(\"trajectories\")),\n", " only_n_most_recent_images=3,\n", From eb0fcd6f5e55357491536a0a242320d2101697da Mon Sep 17 00:00:00 2001 From: James Murdza Date: Wed, 27 Aug 2025 13:00:51 -0400 Subject: [PATCH 024/103] Remove broken link from documentation --- .../docs/agent-sdk/supported-agents/human-in-the-loop.mdx | 2 -- 1 file changed, 2 deletions(-) diff --git a/docs/content/docs/agent-sdk/supported-agents/human-in-the-loop.mdx b/docs/content/docs/agent-sdk/supported-agents/human-in-the-loop.mdx index 8d084d7e..f1574891 100644 --- a/docs/content/docs/agent-sdk/supported-agents/human-in-the-loop.mdx +++ b/docs/content/docs/agent-sdk/supported-agents/human-in-the-loop.mdx @@ -62,5 +62,3 @@ The human-in-the-loop interface provides: - **Testing**: Validate agent, tool, and environment behavior manually --- - -For more details on the human tool implementation, see the [Human Tool Documentation](../../tools/human-tool). From 61a442da5682d22e74e970d087882609b5c62e52 Mon Sep 17 00:00:00 2001 From: Dillon DuPont Date: Wed, 27 Aug 2025 13:21:46 -0400 Subject: [PATCH 025/103] fixed getattr crash --- libs/kasm/Dockerfile | 2 +- .../agent/agent/integrations/hud/__init__.py | 208 +- .../agent/agent/integrations/hud/adapter.py | 121 - .../agent/agent/integrations/hud/agent.py | 509 +- .../integrations/hud/computer_handler.py | 187 - libs/python/agent/agent/proxy/examples.py | 192 + libs/python/agent/agent/proxy/handlers.py | 248 + notebooks/eval_osworld.ipynb | 110003 +-------------- 8 files changed, 796 insertions(+), 110674 deletions(-) delete mode 100644 libs/python/agent/agent/integrations/hud/adapter.py delete mode 100644 libs/python/agent/agent/integrations/hud/computer_handler.py create mode 100644 libs/python/agent/agent/proxy/examples.py create mode 100644 libs/python/agent/agent/proxy/handlers.py diff --git a/libs/kasm/Dockerfile b/libs/kasm/Dockerfile index c3a4c795..b8cf9976 100644 --- a/libs/kasm/Dockerfile +++ b/libs/kasm/Dockerfile @@ -1,4 +1,4 @@ -FROM kasmweb/core-ubuntu-jammy:1.17.0 +FROM --platform=linux/amd64 kasmweb/core-ubuntu-jammy:1.17.0 USER root ENV HOME=/home/kasm-default-profile diff --git a/libs/python/agent/agent/integrations/hud/__init__.py b/libs/python/agent/agent/integrations/hud/__init__.py index 787613de..d7fc3a20 100644 --- a/libs/python/agent/agent/integrations/hud/__init__.py +++ b/libs/python/agent/agent/integrations/hud/__init__.py @@ -1,77 +1,149 @@ -"""HUD integration for ComputerAgent.""" +"""HUD integration: Generic HuggingFace dataset evaluation runner (CUA proxy). -import logging -from typing import Any, Optional, Dict -from hud import run_job as hud_run_job +This module exposes two helpers to evaluate HUD-compatible datasets using +HUD's OperatorAgent, while proxying model calls through our ComputerAgent via +`FakeAsyncOpenAI` (see `agent/integrations/hud/agent.py`). -from .agent import ComputerAgent -from .adapter import ComputerAgentAdapter -from .computer_handler import HUDComputerHandler +Exports: +- run_single_task(dataset_name, *, agent_type="cua-proxy", model=None, allowed_tools=None) +- run_full_dataset(dataset_name, *, agent_type="cua-proxy", model=None, allowed_tools=None, max_concurrent=30, max_steps=50) +""" +import time +from typing import Any, Optional + +from PIL import Image +from datasets import load_dataset, Dataset +from hud.agents import OperatorAgent +from hud.datasets import Task, run_dataset +from hud.tools.computer.settings import computer_settings +from hud import trace + +from agent.agent import ComputerAgent as BaseComputerAgent +from .agent import FakeAsyncOpenAI -async def run_job( - model: str, - task_or_taskset: Any, - job_name: str, - # Job kwargs - auto_reply_question: bool = False, - adapter_cls: Any = None, - adapter_kwargs: Optional[Dict[str, Any]] = None, - max_steps_per_task: int = 20, - run_parallel: bool = True, - job_metadata: Optional[Dict[str, Any]] = None, - show_progress: bool = True, - max_concurrent_env_creations: Optional[int] = 30, # Limits gym.make calls - max_concurrent_agent_predictions: Optional[int] = None, # No limit on LLM calls - max_concurrent_tasks: Optional[int] = 30, # Limits overall task concurrency - **agent_kwargs: Any -) -> Any: +# --------------------------------------------------------------------------- +# Proxy OperatorAgent +# --------------------------------------------------------------------------- + + +class ProxyOperatorAgent(OperatorAgent): + """OperatorAgent that proxies model calls through our ComputerAgent. + + Accepts the same config keys we pass via hud.run_dataset `agent_config`: + - model: str | None + - allowed_tools: list[str] | None + Additional kwargs are forwarded to OperatorAgent (if any are supported). """ - Run a job using ComputerAgent with the specified model. + + def __init__( + self, + *, + model: str | None = None, + allowed_tools: list[str] | None = None, + **kwargs: Any, + ) -> None: + model = model or "computer-use-preview" + allowed_tools = allowed_tools or ["openai_computer"] + + computer_shim = { + 'screenshot': lambda: Image.new('RGB', (computer_settings.OPENAI_COMPUTER_WIDTH, computer_settings.OPENAI_COMPUTER_HEIGHT)), + 'environment': 'linux', + 'dimensions': (computer_settings.OPENAI_COMPUTER_WIDTH, computer_settings.OPENAI_COMPUTER_HEIGHT) + } + computer_agent = BaseComputerAgent( + model=model, + tools=[computer_shim], + verbosity=20, + trajectory_dir='trajectories' + ) + model_client = FakeAsyncOpenAI(computer_agent) + + super().__init__( + model_client=model_client, # type: ignore[arg-type] + model=model, + allowed_tools=allowed_tools, + **kwargs, + ) + + +# --------------------------------------------------------------------------- +# Single-task runner +# --------------------------------------------------------------------------- + + +async def run_single_task( + dataset: str | Dataset | list[dict[str, Any]], + *, + task_id: int = 0, + model: str | None = None, + allowed_tools: list[str] | None = None, +) -> None: + """Load one task from the dataset and execute it with Operator+CUA proxy.""" + + # Load dataset and pick a sample + if isinstance(dataset, str): + dataset = load_dataset(dataset, split="train") # type: ignore[arg-type] + elif isinstance(dataset, list): + dataset = dataset + else: + dataset = dataset["train"] - Args: - model: Model string for ComputerAgent (e.g., "anthropic/claude-3-5-sonnet-20241022") - task_or_taskset: Task or TaskSet to run - job_name: Name for the job - auto_reply_question: Whether to auto-reply to questions - adapter_cls: Custom adapter class (defaults to ComputerAgentAdapter) - adapter_kwargs: Additional kwargs for the adapter - max_steps_per_task: Maximum steps per task - run_parallel: Whether to run tasks in parallel - job_metadata: Additional metadata for the job - show_progress: Whether to show progress - max_concurrent_env_creations: Max concurrent environment creations - max_concurrent_agent_predictions: Max concurrent agent predictions - max_concurrent_tasks: Max concurrent tasks - **agent_kwargs: Additional kwargs to pass to ComputerAgent - - Returns: - Job instance from HUD - """ - # combine verbose and verbosity kwargs - if "verbose" in agent_kwargs: - agent_kwargs["verbosity"] = logging.INFO - del agent_kwargs["verbose"] - verbose = True if agent_kwargs.get("verbosity", logging.WARNING) > logging.INFO else False - - # run job - return await hud_run_job( - agent_cls=ComputerAgent, - agent_kwargs={"model": model, **agent_kwargs}, - task_or_taskset=task_or_taskset, - job_name=job_name, - auto_reply_question=auto_reply_question, - adapter_cls=adapter_cls, - adapter_kwargs=adapter_kwargs, - max_steps_per_task=max_steps_per_task, - run_parallel=run_parallel, - job_metadata=job_metadata, - show_progress=show_progress, - verbose=verbose, - max_concurrent_env_creations=max_concurrent_env_creations, - max_concurrent_agent_predictions=max_concurrent_agent_predictions, - max_concurrent_tasks=max_concurrent_tasks + sample_task = dataset[task_id] # type: ignore[index] + task_prompt = sample_task.get("prompt", f"Task {sample_task.get('id', 0)}") # type: ignore[attr-defined] + + with trace(name=task_prompt): + task = Task(**sample_task) # type: ignore[arg-type] + + agent = ProxyOperatorAgent(model=model, allowed_tools=allowed_tools) + print(f"Running: {task_prompt}") + result = await agent.run(task, max_steps=10) + print(f"✅ Reward: {getattr(result, 'reward')}") + + +# --------------------------------------------------------------------------- +# Full-dataset runner +# --------------------------------------------------------------------------- + + +async def run_full_dataset( + dataset: str | Dataset | list[dict[str, Any]], + *, + job_name: Optional[str] = None, + model: str | None = None, + allowed_tools: list[str] | None = None, + max_concurrent: int = 30, + max_steps: int = 50, + split: str = "train", +) -> list[Any]: + """Run evaluation across the entire dataset using hud.datasets.run_dataset.""" + + # We pass OperatorAgent as the class and provide a config that injects our + # FakeAsyncOpenAI per agent instantiation. + + if isinstance(dataset, str): + dataset_name = dataset.split('/')[-1] + job_name = job_name or f"Evaluation {dataset_name}" + dataset = load_dataset(dataset, split=split) # type: ignore[arg-type] + else: + dataset_name = "custom" + job_name = job_name or f"Evaluation {time.strftime('%H:%M %Y-%m-%d')}" + + # Execute evaluation + return await run_dataset( + name=job_name, + dataset=dataset, + agent_class=ProxyOperatorAgent, + agent_config={"model": model, "allowed_tools": allowed_tools}, + max_concurrent=max_concurrent, + metadata={"dataset": dataset_name}, + max_steps=max_steps, + auto_respond=True, ) -__all__ = ["ComputerAgent", "ComputerAgentAdapter", "HUDComputerHandler", "run_job"] \ No newline at end of file +__all__ = [ + "run_single_task", + "run_full_dataset", + "ProxyOperatorAgent", +] \ No newline at end of file diff --git a/libs/python/agent/agent/integrations/hud/adapter.py b/libs/python/agent/agent/integrations/hud/adapter.py deleted file mode 100644 index 77c8dc7d..00000000 --- a/libs/python/agent/agent/integrations/hud/adapter.py +++ /dev/null @@ -1,121 +0,0 @@ -"""HUD Adapter for ComputerAgent integration.""" - -from __future__ import annotations - -from typing import Any, ClassVar - -from hud.adapters.common import CLA, Adapter -from hud.adapters.common.types import ( - CLAButton, - CLAKey, - ClickAction, - CustomAction, - DragAction, - MoveAction, - Point, - PressAction, - ResponseAction, - ScreenshotFetch, - ScrollAction, - TypeAction, - WaitAction, -) - - -class ComputerAgentAdapter(Adapter): - """Adapter for ComputerAgent to work with HUD.""" - - KEY_MAP: ClassVar[dict[str, CLAKey]] = { - "return": "enter", - "arrowup": "up", - "arrowdown": "down", - "arrowleft": "left", - "arrowright": "right", - "cmd": "ctrl", - "super": "win", - "meta": "win", - } - - BUTTON_MAP: ClassVar[dict[str, CLAButton]] = { - "wheel": "middle", - "middle": "middle", - } - - def __init__(self) -> None: - super().__init__() - # ComputerAgent default dimensions (can be overridden) - self.agent_width = 1024 - self.agent_height = 768 - - def _map_key(self, key: str) -> CLAKey: - """Map a key to its standardized form.""" - return self.KEY_MAP.get(key.lower(), key.lower()) # type: ignore - - def convert(self, data: Any) -> CLA: - """Convert a ComputerAgent action to a HUD action.""" - try: - action_type = data.get("type") - - if action_type == "click": - x, y = data.get("x", 0), data.get("y", 0) - button = data.get("button", "left") - button = self.BUTTON_MAP.get(button, button) - if button is None: - button = "left" - converted_action = ClickAction(point=Point(x=x, y=y), button=button) - - elif action_type == "double_click": - x, y = data.get("x", 0), data.get("y", 0) - converted_action = ClickAction(point=Point(x=x, y=y), button="left", pattern=[100]) - - elif action_type == "scroll": - x, y = int(data.get("x", 0)), int(data.get("y", 0)) - scroll_x = int(data.get("scroll_x", 0)) - scroll_y = int(data.get("scroll_y", 0)) - converted_action = ScrollAction( - point=Point(x=x, y=y), scroll=Point(x=scroll_x, y=scroll_y) - ) - - elif action_type == "type": - text = data.get("text", "") - converted_action = TypeAction(text=text, enter_after=False) - - elif action_type == "wait": - ms = data.get("ms", 1000) - converted_action = WaitAction(time=ms) - - elif action_type == "move": - x, y = data.get("x", 0), data.get("y", 0) - converted_action = MoveAction(point=Point(x=x, y=y)) - - elif action_type == "keypress": - keys = data.get("keys", []) - if isinstance(keys, str): - keys = [keys] - converted_action = PressAction(keys=[self._map_key(k) for k in keys]) - - elif action_type == "drag": - path = data.get("path", []) - points = [Point(x=p.get("x", 0), y=p.get("y", 0)) for p in path] - converted_action = DragAction(path=points) - - elif action_type == "screenshot": - converted_action = ScreenshotFetch() - - elif action_type == "response": - converted_action = ResponseAction(text=data.get("text", "")) - - elif action_type == "custom": - converted_action = CustomAction(action=data.get("action", "")) - - else: - raise ValueError(f"Unsupported action type: {action_type}") - - # Add reasoning and logs if available - converted_action.reasoning = data.get("reasoning", "") - converted_action.logs = data.get("logs", "") - - return converted_action - - except Exception as e: - raise ValueError(f"Invalid action: {data}. Error: {e!s}") from e diff --git a/libs/python/agent/agent/integrations/hud/agent.py b/libs/python/agent/agent/integrations/hud/agent.py index abbf5f8c..4155d736 100644 --- a/libs/python/agent/agent/integrations/hud/agent.py +++ b/libs/python/agent/agent/integrations/hud/agent.py @@ -1,373 +1,170 @@ -"""HUD ComputerAgent wrapper for OSWorld benchmarking.""" +"""HUD ComputerAgent wrapper and Fake AsyncOpenAI client. -import logging -from typing import Any, Literal, Optional, Union, List, Dict -import asyncio +Provides FakeAsyncOpenAI that adapts our ComputerAgent to the OpenAI Responses +interface needed by HUD's OperatorAgent. It implements only `responses.create` +and returns an OpenAI Response object with `id` and `output` fields, where `output` is a list of +OpenAI-like response blocks. We intentionally only support a single-step call +by consuming the first yielded result from `ComputerAgent.run()`. +""" -from agent import ComputerAgent as BaseComputerAgent -from agent.responses import make_failed_tool_call_items -from hud.adapters import Adapter -from hud.agent.base import Agent -from hud.utils.common import Observation -from hud.adapters.common.types import LogType -from hud.types import Gym +import traceback +import time +import uuid +from typing import Any, Dict, List, Optional -from .adapter import ComputerAgentAdapter -from .computer_handler import HUDComputerHandler +from agent.agent import ComputerAgent as BaseComputerAgent -logger = logging.getLogger(__name__) +# OpenAI Responses typed models (required) +from openai.types.responses import ( + Response, + ResponseInputParam, + ResponseOutputItem, + ResponseComputerToolCall, + ResponseOutputMessage, + ResponseOutputText, + ResponseReasoningItem, + ResponseUsage, +) -BASE_SYSTEM_PROMPT = """ -You are an autonomous computer-using agent. Follow these guidelines: +def _map_agent_output_to_openai_blocks(output_items: List[Dict[str, Any]]) -> List[ResponseOutputItem]: + """Map our agent output items to OpenAI ResponseOutputItem typed models. -1. Be decisive and complete tasks without asking for confirmation unless absolutely necessary. -2. Use the computer tools to complete the task and do not stop until the task is complete. -3. Do NOT ask questions like "Should I proceed?" or "Would you like me to continue?" - just proceed with the task. -4. When you find what you're looking for (e.g., a file to upload), proceed with the action directly. -5. Only stop when the task is fully complete or if you encounter an error that prevents completion. -6. Trust that the user wants you to complete the entire task they've requested. -7. You must say "Task completed" when the task is complete. - -Remember: You have been given permission to complete the requested task autonomously. -""".strip() - -class ComputerAgent(Agent[BaseComputerAgent, dict[str, Any]]): + Only a subset is supported: computer_call, assistant message (text), and reasoning. + Unknown types are ignored. """ - A ComputerAgent wrapper for HUD integration. - - This agent wraps the base ComputerAgent to work with HUD environments, - providing the same interface as OperatorAgent but using ComputerAgent internally. + blocks: List[ResponseOutputItem] = [] + for item in output_items or []: + t = item.get("type") + if t == "computer_call": + comp = ResponseComputerToolCall.model_validate({ + "id": item.get("id") or f"cu_{uuid.uuid4().hex}", + "type": "computer_call", + "call_id": item["call_id"], + "action": item["action"], + "pending_safety_checks": item.get("pending_safety_checks", []), + "status": "completed", + }) + blocks.append(comp) + elif t == "message" and item.get("role") == "assistant": + content_blocks: List[ResponseOutputText] = [] + for c in item.get("content", []) or []: + content_blocks.append( + ResponseOutputText.model_validate({ + "type": "output_text", + "text": c["text"], + "annotations": [], + }) + ) + if content_blocks: + msg = ResponseOutputMessage.model_validate({ + "id": item.get("id") or f"msg_{uuid.uuid4()}", + "type": "message", + "role": "assistant", + "status": "completed", + "content": [ct.model_dump() for ct in content_blocks], + }) + blocks.append(msg) + elif t == "reasoning": + reasoning = ResponseReasoningItem.model_validate({ + "id": item.get("id") or f"rsn_{uuid.uuid4()}", + "type": "reasoning", + "summary": item["summary"], + }) + blocks.append(reasoning) + # Unhandled types are ignored + return blocks + +def _to_plain_dict_list(items: Any) -> List[Dict[str, Any]]: + out: List[Dict[str, Any]] = [] + for it in list(items): + if hasattr(it, "model_dump"): + out.append(it.model_dump()) # type: ignore[attr-defined] + elif isinstance(it, dict): + out.append(it) + else: + # Strict: rely on default __dict__ if present + out.append(dict(it)) # may raise if not mapping + return out + +class FakeAsyncOpenAI: + """Minimal fake OpenAI client with only `responses.create` implemented. + + It uses a provided `ComputerAgent` instance to produce a single-step + response compatible with HUD's OperatorAgent loop. """ - - transfer_gyms: dict[Gym, Gym] = {"qa": "hud-browser"} - def __init__( - self, - model: str = "anthropic/claude-3-5-sonnet-20241022", - environment: Literal["windows", "mac", "linux", "browser"] = "linux", - adapter: Optional[Adapter] = None, - name: Optional[str] = None, - **kwargs: Any, - ): - """ - Initialize the ComputerAgent for HUD. + def __init__(self, computer_agent: BaseComputerAgent) -> None: + self._agent = computer_agent + self.responses = self._Responses(self) - Args: - model: The model string for ComputerAgent (e.g., "anthropic/claude-3-5-sonnet-20241022") - environment: The environment type (windows, mac, linux, browser) - adapter: The adapter to use for preprocessing and postprocessing - name: The name of the agent - **kwargs: Additional arguments passed to ComputerAgent - """ - # Create adapter if not provided - adapter = adapter or ComputerAgentAdapter() - - if name is None: - name = f"computeragent-{model.split('/')[-1]}" + class _Responses: + def __init__(self, parent: "FakeAsyncOpenAI") -> None: + # Caches for cross-call context when using previous_response_id + self.blocks_cache: Dict[str, ResponseInputParam | ResponseOutputItem] = {} + self.context_cache: Dict[str, List[str]] = {} + self.agent = parent._agent - # Initialize the base Agent class without client (we'll create it later) - super().__init__(client=None, adapter=adapter, name=name) - - self.model = model - self.environment = environment - self.kwargs = kwargs - - # Default dimensions - self.width = 1024 - self.height = 768 - - # Update dimensions if adapter is provided - if self.adapter: - self.width = self.adapter.agent_width - self.height = self.adapter.agent_height - - # Create HUD computer handler - self.hud_computer = HUDComputerHandler( - environment=environment, - dimensions=(self.width, self.height) - ) - - # Handle trajectory_dir by adding TrajectorySaverCallback - trajectory_dir = kwargs.pop("trajectory_dir", None) - callbacks = kwargs.get("callbacks", []) - - if trajectory_dir: - from agent.callbacks.trajectory_saver import TrajectorySaverCallback - trajectory_callback = TrajectorySaverCallback(trajectory_dir, reset_on_run=False) - callbacks = callbacks + [trajectory_callback] - kwargs["callbacks"] = callbacks - - # Initialize ComputerAgent with HUD computer handler - self.computer_agent = BaseComputerAgent( - model=model, - tools=[self.hud_computer], - **kwargs - ) - - # Set the client to the computer_agent for compatibility - self.client = self.computer_agent - - # State tracking - self.conversation_history: List[Dict[str, Any]] = [] - self.initial_prompt: Optional[str] = None - - # System prompt for computer use tasks - self.base_system_prompt = BASE_SYSTEM_PROMPT - - async def fetch_response(self, observation: Observation) -> tuple[list[dict[str, Any]], bool]: - """ - Fetch a response from ComputerAgent based on the observation. - - Args: - observation: The preprocessed observation, attributes: - screenshot: Base64 encoded PNG string of the screen - text: Text observation, if available - - Returns: - tuple[list[dict[str, Any]], bool, list[LogType] | None]: A tuple containing the list of raw actions, - boolean indicating if the agent believes the task is complete. - """ - try: - # Update the computer handler with the current screenshot - if observation.screenshot: - self.hud_computer.update_screenshot(observation.screenshot) - - # Set up action callback to capture actions - captured_actions = [] - action_done = False - - async def action_callback(action: Dict[str, Any]) -> None: - """Callback to capture actions from ComputerAgent.""" - nonlocal captured_actions, action_done - captured_actions.append(action) - - # Set the action callback - self.hud_computer.set_action_callback(action_callback) - - # Prepare the message for ComputerAgent - if not self.conversation_history: - # First interaction - use the observation text as initial prompt - if observation.text: - self.initial_prompt = observation.text - message = f"{self.base_system_prompt}\n\nTask: {observation.text}" - else: - message = f"{self.base_system_prompt}\n\nPlease analyze the current screen and determine what action to take." - - input_content = [ - {"type": "input_text", "text": message} - ] - - # Add screenshot if present - if observation.screenshot: - input_content.append( - { - "type": "input_image", - "image_url": f"data:image/png;base64,{observation.screenshot}", - } - ) - - self.conversation_history.append({"role": "user", "content": input_content}) - else: - # Subsequent interactions - check if last action was computer_call - # If so, add computer_call_output with screenshot instead of user message - last_computer_calls = [] - for msg in reversed(self.conversation_history): - if msg.get("type") == "computer_call": - call_id = msg.get("call_id") - if call_id: - # Check if this call_id already has a computer_call_output - has_output = any( - m.get("type") == "computer_call_output" and m.get("call_id") == call_id - for m in self.conversation_history - ) - if not has_output: - last_computer_calls.append(call_id) - - if last_computer_calls: - if not observation.screenshot: - print("No screenshot found, taking screenshot") - screenshot_b64 = await self.hud_computer.screenshot() - # Add computer_call_output for each unresponded computer_call - for call_id in reversed(last_computer_calls): # Maintain order - self.conversation_history.append({ - "type": "computer_call_output", - "call_id": call_id, - "output": { - "type": "input_image", - "image_url": f"data:image/png;base64,{screenshot_b64}" - } - }) - else: - # No computer_call found, add regular user message - message = "Continue with the task based on the current screen state." - input_content = [ - {"type": "input_text", "text": message} - ] - - # Add screenshot if present - if observation.screenshot: - input_content.append( - { - "type": "input_image", - "image_url": f"data:image/png;base64,{observation.screenshot}", - } - ) - - self.conversation_history.append({"role": "user", "content": input_content}) - - # If the last message is a reasoning message, change it to output_text - if (self.conversation_history and - self.conversation_history[-1].get("type") == "reasoning" and - self.conversation_history[-1].get("summary")): - - reasoning_msg = self.conversation_history[-1] - summary_texts = [] - - # Extract all summary_text entries - for summary_item in reasoning_msg["summary"]: - if summary_item.get("type") == "summary_text": - summary_texts.append(summary_item.get("text", "")) - - # Convert to message format with output_text - if summary_texts: - converted_message = { - "type": "message", - "role": "assistant", - "content": [ - { - "text": " ".join(summary_texts), - "type": "output_text" - } - ] - } - - # Replace the reasoning message with the converted message - self.conversation_history[-1] = converted_message - - # Run ComputerAgent + async def create( + self, + *, + model: str, + input: ResponseInputParam, + tools: Optional[List[Dict[str, Any]]] = None, + instructions: Optional[str] = None, + previous_response_id: Optional[str] = None, + **_: Any, + ) -> Any: try: - new_items = [] + # Prepend cached blocks from previous_response_id to input + full_input = input + if previous_response_id is not None: + prev_block_ids = self.context_cache[previous_response_id] + prev_blocks = [self.blocks_cache[b_id] for b_id in prev_block_ids] + full_input = _to_plain_dict_list(prev_blocks + input) - # ComputerAgent.run returns an async generator - try: - async for result in self.computer_agent.run(self.conversation_history, stream=False): - # if the result has computer_call_output, immediately exit - if result.get("output", []) and result.get("output", [])[-1].get("type") == "computer_call_output": - break - # otherwise add agent output to conversation history - new_items += result["output"] - except Exception as e: - # if the last message is reasoning, change it to output_text - if new_items and new_items[-1].get("type") == "reasoning": - new_items[-1] = { - "type": "message", - "role": "assistant", - "content": [ - { - "text": new_items[-1].get("summary", [{}])[0].get("text", ""), - "type": "output_text" - } - ] - } - # Check if there are any computer_call items in new_items - computer_calls = [item for item in new_items if item.get("type") == "computer_call"] - if computer_calls: - # Remove computer_call items from new_items - new_items = [item for item in new_items if item.get("type") != "computer_call"] - - # Add failed tool call items for each computer call - for computer_call in computer_calls: - tool_input = computer_call.get("action", {}) - call_id = computer_call.get("call_id") - new_items.extend(make_failed_tool_call_items( - tool_name="computer", - tool_kwargs=tool_input, - error_message=repr(e), - call_id=call_id - )) - else: - # add error message to conversation history (fallback for non-computer-call errors) - new_items.append({ - "type": "user", - "content": [ - { - "type": "input_text", - "text": f"Error during previous attempted action: {repr(e)}" - } - ] - }) + # Run a single iteration of the ComputerAgent + agent_result: Optional[Dict[str, Any]] = None + async for result in self.agent.run(full_input): # type: ignore[arg-type] + agent_result = result + break + assert agent_result is not None, "Agent failed to produce result" - # Check if we captured any actions - if captured_actions: - # Extract reasoning from the conversation history - reasoning = "" - # Look for the latest reasoning message - for msg in reversed(new_items): - if msg.get("type") == "reasoning" and msg.get("summary"): - reasoning = " ".join([s.get("text", "") for s in msg["summary"] if s.get("type") == "summary_text"]) - break - elif msg.get("type") == "message" and msg.get("role") == "assistant": - content = msg.get("content", []) - if isinstance(content, list): - reasoning = " ".join([c.get("text", "") for c in content if c.get("type") == "output_text"]) - break - - # update conversation history - self.conversation_history += new_items + output = _map_agent_output_to_openai_blocks(agent_result["output"]) + usage = agent_result["usage"] - # Add reasoning and logs to each action - for action in captured_actions: - action["reasoning"] = reasoning - action["logs"] = {"conversation_length": len(self.conversation_history)} - - return captured_actions, False - - # Check if the last message is "Task completed" - response_text = "" - for msg in reversed(new_items): - if msg.get("type") == "message" and msg.get("role") == "assistant": - content = msg.get("content", []) - for c in content: - if c.get("type") == "output_text": - response_text = c.get("text", response_text) - break - break - - done = "task completed" in response_text.lower() - - # update conversation history - self.conversation_history += new_items - - response_action = { - "type": "response", - "text": response_text, - "reasoning": response_text, - "logs": {"conversation_length": len(self.conversation_history)} - } - - # Check if this indicates task completion or failure - if "task is infeasible" in response_text.lower(): - response_action = {"type": "custom", "action": "FAIL"} - done = True - - return [response_action], done + # Cache conversation context using the last response id + block_ids: List[str] = [] + blocks_to_cache = full_input + output + for b in blocks_to_cache: + bid = getattr(b, "id", None) or f"tmp-{hash(repr(b))}" + self.blocks_cache[bid] = b # type: ignore[assignment] + block_ids.append(bid) + response_id = agent_result.get("id") or f"fake-{int(time.time()*1000)}" + self.context_cache[response_id] = block_ids + + return Response.model_validate({ + "id": response_id, + "created_at": time.time(), + "object": "response", + "model": model, + "output": output, + "parallel_tool_calls": False, + "tool_choice": "auto", + "tools": [], + "previous_response_id": previous_response_id, + "usage": ResponseUsage.model_validate({ + "input_tokens": usage["input_tokens"], + "output_tokens": usage["output_tokens"], + "total_tokens": usage["total_tokens"], + "input_tokens_details": usage.get("input_tokens_details", { "cached_tokens": 0 }), + "output_tokens_details": usage.get("output_tokens_details", { "reasoning_tokens": 0 }), + }), + }) except Exception as e: - logger.error(f"Error running ComputerAgent: {e}") - # Return an error response - error_action = { - "type": "response", - "text": f"Error occurred: {str(e)}", - "reasoning": f"ComputerAgent encountered an error: {str(e)}", - "logs": {"error": str(e)} - } - return [error_action], True + print("Error while running agent: ", e) + print(traceback.format_exc()) + raise e - except Exception as e: - logger.error(f"Error in fetch_response: {e}") - error_action = { - "type": "response", - "text": f"Error in agent processing: {str(e)}", - "reasoning": f"Agent processing error: {str(e)}", - "logs": {"error": str(e)} - } - return [error_action], True +__all__ = [ + "FakeAsyncOpenAI", +] diff --git a/libs/python/agent/agent/integrations/hud/computer_handler.py b/libs/python/agent/agent/integrations/hud/computer_handler.py deleted file mode 100644 index 9fcc8245..00000000 --- a/libs/python/agent/agent/integrations/hud/computer_handler.py +++ /dev/null @@ -1,187 +0,0 @@ -"""HUD Computer Handler for ComputerAgent integration.""" - -import base64 -from io import BytesIO -from typing import Literal, Optional, Any, Dict, Callable -from PIL import Image - -from agent.computers import AsyncComputerHandler - - -class HUDComputerHandler(AsyncComputerHandler): - """Computer handler that interfaces with HUD environment.""" - - def __init__( - self, - environment: Literal["windows", "mac", "linux", "browser"] = "linux", - dimensions: tuple[int, int] = (1024, 768), - screenshot_callback: Optional[Callable] = None, - action_callback: Optional[Callable] = None, - ): - """ - Initialize HUD computer handler. - - Args: - environment: The environment type for HUD - dimensions: Screen dimensions as (width, height) - screenshot_callback: Optional callback to get screenshots from HUD environment - action_callback: Optional callback to execute actions in HUD environment - """ - super().__init__() - self._environment = environment - self._dimensions = dimensions - self._screenshot_callback = screenshot_callback - self._action_callback = action_callback - - # Store the last screenshot for reuse - self._last_screenshot: Optional[str] = None - - def set_screenshot_callback(self, callback: Callable) -> None: - """Set the screenshot callback.""" - self._screenshot_callback = callback - - def set_action_callback(self, callback: Callable) -> None: - """Set the action callback.""" - self._action_callback = callback - - def update_screenshot(self, screenshot: str) -> None: - """Update the stored screenshot (base64 string).""" - self._last_screenshot = screenshot - - async def get_environment(self) -> Literal["windows", "mac", "linux", "browser"]: - """Get the current environment type.""" - return self._environment # type: ignore - - async def get_dimensions(self) -> tuple[int, int]: - """Get screen dimensions as (width, height).""" - return self._dimensions - - async def screenshot(self) -> str: - """Take a screenshot and return as base64 string.""" - if self._screenshot_callback: - screenshot = await self._screenshot_callback() - if isinstance(screenshot, str): - self._last_screenshot = screenshot - return screenshot - elif isinstance(screenshot, Image.Image): - # Convert PIL Image to base64 - buffer = BytesIO() - screenshot.save(buffer, format="PNG") - screenshot_b64 = base64.b64encode(buffer.getvalue()).decode() - self._last_screenshot = screenshot_b64 - return screenshot_b64 - elif isinstance(screenshot, bytes): - screenshot_b64 = base64.b64encode(screenshot).decode() - self._last_screenshot = screenshot_b64 - return screenshot_b64 - - # Return last screenshot if available, otherwise create a blank one - if self._last_screenshot: - return self._last_screenshot - - # Create a blank screenshot as fallback - blank_image = Image.new('RGB', self._dimensions, color='white') - buffer = BytesIO() - blank_image.save(buffer, format="PNG") - screenshot_b64 = base64.b64encode(buffer.getvalue()).decode() - self._last_screenshot = screenshot_b64 - return screenshot_b64 - - async def click(self, x: int, y: int, button: str = "left") -> None: - """Click at coordinates with specified button.""" - if self._action_callback: - await self._action_callback({ - "type": "click", - "x": x, - "y": y, - "button": button - }) - - async def double_click(self, x: int, y: int) -> None: - """Double click at coordinates.""" - if self._action_callback: - await self._action_callback({ - "type": "double_click", - "x": x, - "y": y - }) - - async def scroll(self, x: int, y: int, scroll_x: int, scroll_y: int) -> None: - """Scroll at coordinates with specified scroll amounts.""" - if self._action_callback: - await self._action_callback({ - "type": "scroll", - "x": x, - "y": y, - "scroll_x": scroll_x, - "scroll_y": scroll_y - }) - - async def type(self, text: str) -> None: - """Type text.""" - if self._action_callback: - await self._action_callback({ - "type": "type", - "text": text - }) - - async def wait(self, ms: int = 1000) -> None: - """Wait for specified milliseconds.""" - if self._action_callback: - await self._action_callback({ - "type": "wait", - "ms": ms - }) - - async def move(self, x: int, y: int) -> None: - """Move cursor to coordinates.""" - if self._action_callback: - await self._action_callback({ - "type": "move", - "x": x, - "y": y - }) - - async def keypress(self, keys: list[str] | str) -> None: - """Press key combination.""" - if isinstance(keys, str): - keys = [keys] - if self._action_callback: - await self._action_callback({ - "type": "keypress", - "keys": keys - }) - - async def drag(self, path: list[dict[str, int]]) -> None: - """Drag along a path of points.""" - if self._action_callback: - await self._action_callback({ - "type": "drag", - "path": path - }) - - async def left_mouse_down(self, x: Optional[int] = None, y: Optional[int] = None) -> None: - """Left mouse down at coordinates.""" - if self._action_callback: - await self._action_callback({ - "type": "left_mouse_down", - "x": x, - "y": y - }) - - async def left_mouse_up(self, x: Optional[int] = None, y: Optional[int] = None) -> None: - """Left mouse up at coordinates.""" - if self._action_callback: - await self._action_callback({ - "type": "left_mouse_up", - "x": x, - "y": y - }) - - async def get_current_url(self) -> str: - """Get the current URL.""" - if self._action_callback: - return await self._action_callback({ - "type": "get_current_url" - }) - return "" \ No newline at end of file diff --git a/libs/python/agent/agent/proxy/examples.py b/libs/python/agent/agent/proxy/examples.py new file mode 100644 index 00000000..2838c5df --- /dev/null +++ b/libs/python/agent/agent/proxy/examples.py @@ -0,0 +1,192 @@ +""" +Example usage of the proxy server and client requests. +""" +import dotenv +dotenv.load_dotenv() + +import asyncio +import json +import os +import aiohttp +from typing import Dict, Any + + +async def test_http_endpoint(): + """Test the HTTP /responses endpoint.""" + + anthropic_api_key = os.getenv("ANTHROPIC_API_KEY") + assert isinstance(anthropic_api_key, str), "ANTHROPIC_API_KEY environment variable must be set" + + # Example 1: Simple text request + simple_request = { + "model": "anthropic/claude-3-5-sonnet-20241022", + "input": "Tell me a three sentence bedtime story about a unicorn.", + "env": { + "ANTHROPIC_API_KEY": anthropic_api_key + } + } + + # Example 2: Multi-modal request with image + multimodal_request = { + "model": "anthropic/claude-3-5-sonnet-20241022", + "input": [ + { + "role": "user", + "content": [ + {"type": "input_text", "text": "what is in this image?"}, + { + "type": "input_image", + "image_url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg" + } + ] + } + ], + "env": { + "ANTHROPIC_API_KEY": anthropic_api_key + } + } + + # Example 3: Request with custom agent and computer kwargs + custom_request = { + "model": "anthropic/claude-3-5-sonnet-20241022", + "input": "Take a screenshot and tell me what you see", + "env": { + "ANTHROPIC_API_KEY": anthropic_api_key + } + } + + # Test requests + base_url = "https://m-linux-96lcxd2c2k.containers.cloud.trycua.com:8443" + # base_url = "http://localhost:8000" + api_key = os.getenv("CUA_API_KEY") + assert isinstance(api_key, str), "CUA_API_KEY environment variable must be set" + + async with aiohttp.ClientSession() as session: + for i, request_data in enumerate([ + simple_request, + # multimodal_request, + custom_request + ], 1): + print(f"\n--- Test {i} ---") + print(f"Request: {json.dumps(request_data, indent=2)}") + + try: + print(f"Sending request to {base_url}/responses") + async with session.post( + f"{base_url}/responses", + json=request_data, + headers={"Content-Type": "application/json", "X-API-Key": api_key} + ) as response: + result = await response.json() + print(f"Status: {response.status}") + print(f"Response: {json.dumps(result, indent=2)}") + + except Exception as e: + print(f"Error: {e}") + + +def curl_examples(): + """Print curl command examples.""" + + print("=== CURL Examples ===\n") + + print("1. Simple text request:") + print("""curl http://localhost:8000/responses \\ + -H "Content-Type: application/json" \\ + -d '{ + "model": "anthropic/claude-3-5-sonnet-20241022", + "input": "Tell me a three sentence bedtime story about a unicorn." + }'""") + + print("\n2. Multi-modal request with image:") + print("""curl http://localhost:8000/responses \\ + -H "Content-Type: application/json" \\ + -d '{ + "model": "anthropic/claude-3-5-sonnet-20241022", + "input": [ + { + "role": "user", + "content": [ + {"type": "input_text", "text": "what is in this image?"}, + { + "type": "input_image", + "image_url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg" + } + ] + } + ] + }'""") + + print("\n3. Request with custom configuration:") + print("""curl http://localhost:8000/responses \\ + -H "Content-Type: application/json" \\ + -d '{ + "model": "anthropic/claude-3-5-sonnet-20241022", + "input": "Take a screenshot and tell me what you see", + "agent_kwargs": { + "save_trajectory": true, + "verbosity": 20 + }, + "computer_kwargs": { + "os_type": "linux", + "provider_type": "cloud" + } + }'""") + + +async def test_p2p_client(): + """Example P2P client using peerjs-python.""" + try: + from peerjs import Peer, PeerOptions, ConnectionEventType + from aiortc import RTCConfiguration, RTCIceServer + + # Set up client peer + options = PeerOptions( + host="0.peerjs.com", + port=443, + secure=True, + config=RTCConfiguration( + iceServers=[RTCIceServer(urls="stun:stun.l.google.com:19302")] + ) + ) + + client_peer = Peer(id="test-client", peer_options=options) + await client_peer.start() + + # Connect to proxy server + connection = client_peer.connect("computer-agent-proxy") + + @connection.on(ConnectionEventType.Open) + async def connection_open(): + print("Connected to proxy server") + + # Send a test request + request = { + "model": "anthropic/claude-3-5-sonnet-20241022", + "input": "Hello from P2P client!" + } + await connection.send(json.dumps(request)) + + @connection.on(ConnectionEventType.Data) + async def connection_data(data): + print(f"Received response: {data}") + await client_peer.destroy() + + # Wait for connection + await asyncio.sleep(10) + + except ImportError: + print("P2P dependencies not available. Install peerjs-python for P2P testing.") + except Exception as e: + print(f"P2P test error: {e}") + + +if __name__ == "__main__": + import sys + + if len(sys.argv) > 1 and sys.argv[1] == "curl": + curl_examples() + elif len(sys.argv) > 1 and sys.argv[1] == "p2p": + asyncio.run(test_p2p_client()) + else: + asyncio.run(test_http_endpoint()) diff --git a/libs/python/agent/agent/proxy/handlers.py b/libs/python/agent/agent/proxy/handlers.py new file mode 100644 index 00000000..f68952b0 --- /dev/null +++ b/libs/python/agent/agent/proxy/handlers.py @@ -0,0 +1,248 @@ +""" +Request handlers for the proxy endpoints. +""" + +import asyncio +import json +import logging +import os +from contextlib import contextmanager +from typing import Dict, Any, List, Union, Optional + +from ..agent import ComputerAgent +from computer import Computer + +logger = logging.getLogger(__name__) + + +class ResponsesHandler: + """Handler for /responses endpoint that processes agent requests.""" + + def __init__(self): + self.computer = None + self.agent = None + # Simple in-memory caches + self._computer_cache: Dict[str, Any] = {} + self._agent_cache: Dict[str, Any] = {} + + async def setup_computer_agent( + self, + model: str, + agent_kwargs: Optional[Dict[str, Any]] = None, + computer_kwargs: Optional[Dict[str, Any]] = None, + ): + """Set up (and cache) computer and agent instances. + + Caching keys: + - Computer cache key: computer_kwargs + - Agent cache key: {"model": model, **agent_kwargs} + """ + agent_kwargs = agent_kwargs or {} + computer_kwargs = computer_kwargs or {} + + def _stable_key(obj: Dict[str, Any]) -> str: + try: + return json.dumps(obj, sort_keys=True, separators=(",", ":")) + except Exception: + # Fallback: stringify non-serializable values + safe_obj = {} + for k, v in obj.items(): + try: + json.dumps(v) + safe_obj[k] = v + except Exception: + safe_obj[k] = str(v) + return json.dumps(safe_obj, sort_keys=True, separators=(",", ":")) + + # Determine if custom tools are supplied; if so, skip computer setup entirely + has_custom_tools = bool(agent_kwargs.get("tools")) + + computer = None + if not has_custom_tools: + # ---------- Computer setup (with cache) ---------- + comp_key = _stable_key(computer_kwargs) + + computer = self._computer_cache.get(comp_key) + if computer is None: + # Default computer configuration + default_c_config = { + "os_type": "linux", + "provider_type": "cloud", + "name": os.getenv("CUA_CONTAINER_NAME"), + "api_key": os.getenv("CUA_API_KEY"), + } + default_c_config.update(computer_kwargs) + computer = Computer(**default_c_config) + await computer.__aenter__() + self._computer_cache[comp_key] = computer + logger.info(f"Computer created and cached with key={comp_key} config={default_c_config}") + else: + logger.info(f"Reusing cached computer for key={comp_key}") + + # Bind current computer reference (None if custom tools supplied) + self.computer = computer + + # ---------- Agent setup (with cache) ---------- + # Build agent cache key from {model} + agent_kwargs (excluding tools unless explicitly passed) + agent_kwargs_for_key = dict(agent_kwargs) + agent_key_payload = {"model": model, **agent_kwargs_for_key} + agent_key = _stable_key(agent_key_payload) + + agent = self._agent_cache.get(agent_key) + if agent is None: + # Default agent configuration + default_a_config: Dict[str, Any] = {"model": model} + if not has_custom_tools: + default_a_config["tools"] = [computer] + # Apply user overrides, but keep tools unless user explicitly sets + if agent_kwargs: + if not has_custom_tools: + agent_kwargs.setdefault("tools", [computer]) + default_a_config.update(agent_kwargs) + # JSON-derived kwargs may have loose types; ignore static arg typing here + agent = ComputerAgent(**default_a_config) # type: ignore[arg-type] + self._agent_cache[agent_key] = agent + logger.info(f"Agent created and cached with key={agent_key} model={model}") + else: + # Ensure cached agent uses the current computer tool (in case object differs) + # Only update if tools not explicitly provided in agent_kwargs + if not has_custom_tools: + try: + agent.tools = [computer] + except Exception: + pass + logger.info(f"Reusing cached agent for key={agent_key}") + + # Bind current agent reference + self.agent = agent + + async def process_request(self, request_data: Dict[str, Any]) -> Dict[str, Any]: + """ + Process a /responses request and return the result. + + Args: + request_data: Dictionary containing model, input, and optional kwargs + + Returns: + Dictionary with the agent's response + """ + try: + # Extract request parameters + model = request_data.get("model") + input_data = request_data.get("input") + agent_kwargs = request_data.get("agent_kwargs", {}) + computer_kwargs = request_data.get("computer_kwargs", {}) + env_overrides = request_data.get("env", {}) or {} + + if not model: + raise ValueError("Model is required") + if not input_data: + raise ValueError("Input is required") + + # Apply env overrides for the duration of this request + with self._env_overrides(env_overrides): + # Set up (and possibly reuse) computer and agent via caches + await self.setup_computer_agent(model, agent_kwargs, computer_kwargs) + + # Defensive: ensure agent is initialized for type checkers + agent = self.agent + if agent is None: + raise RuntimeError("Agent failed to initialize") + + # Convert input to messages format + messages = self._convert_input_to_messages(input_data) + + # Run agent and get first result + async for result in agent.run(messages): + # Return the first result and break + return { + "success": True, + "result": result, + "model": model + } + + # If no results were yielded + return { + "success": False, + "error": "No results from agent", + "model": model + } + + except Exception as e: + logger.error(f"Error processing request: {e}") + return { + "success": False, + "error": str(e), + "model": request_data.get("model", "unknown") + } + + def _convert_input_to_messages(self, input_data: Union[str, List[Dict[str, Any]]]) -> List[Dict[str, Any]]: + """Convert input data to messages format.""" + if isinstance(input_data, str): + # Simple string input + return [{"role": "user", "content": input_data}] + elif isinstance(input_data, list): + # Already in messages format + messages = [] + for msg in input_data: + # Convert content array format if needed + if isinstance(msg.get("content"), list): + content_parts = [] + for part in msg["content"]: + if part.get("type") == "input_text": + content_parts.append({"type": "text", "text": part["text"]}) + elif part.get("type") == "input_image": + content_parts.append({ + "type": "image_url", + "image_url": {"url": part["image_url"]} + }) + else: + content_parts.append(part) + messages.append({ + "role": msg["role"], + "content": content_parts + }) + else: + messages.append(msg) + return messages + else: + raise ValueError("Input must be string or list of messages") + + async def cleanup(self): + """Clean up resources.""" + if self.computer: + try: + await self.computer.__aexit__(None, None, None) + except Exception as e: + logger.error(f"Error cleaning up computer: {e}") + finally: + self.computer = None + self.agent = None + + @staticmethod + @contextmanager + def _env_overrides(env: Dict[str, str]): + """Temporarily apply environment variable overrides for the current process. + Restores previous values after the context exits. + + Args: + env: Mapping of env var names to override for this request. + """ + if not env: + # No-op context + yield + return + + original: Dict[str, Optional[str]] = {} + try: + for k, v in env.items(): + original[k] = os.environ.get(k) + os.environ[k] = str(v) + yield + finally: + for k, old in original.items(): + if old is None: + # Was not set before + os.environ.pop(k, None) + else: + os.environ[k] = old diff --git a/notebooks/eval_osworld.ipynb b/notebooks/eval_osworld.ipynb index 7b00795a..beccbb1e 100644 --- a/notebooks/eval_osworld.ipynb +++ b/notebooks/eval_osworld.ipynb @@ -24,7 +24,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -34,7 +34,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -43,720 +43,73 @@ "# - ANTHROPIC_API_KEY (for Claude models)\n", "# - OPENAI_API_KEY (for OpenAI models)\n", "\n", - "from hud import gym, load_taskset\n", - "from pprint import pprint\n", - "import asyncio" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "# Import the HUD-integrated ComputerAgent\n", - "from agent.integrations.hud import ComputerAgent" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Total tasks in OSWorld: 367\n", - "Task prompt: Can you make my computer bring back the last tab I shut down?\n" - ] - } - ], - "source": [ - "# Load OSWorld taskset\n", - "taskset = await load_taskset(\"OSWorld-Verified\")\n", - "print(f\"Total tasks in OSWorld: {len(taskset)}\")\n", - "\n", - "# Select a test task\n", - "test = taskset[148]\n", - "print(f\"Task prompt: {test.prompt}\")" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Total tasks in SheetBench: 50\n", - "Task prompt: Given the Input data, determine the ticker with the greatest correlation between volume and next day price change.\n", - "- in ANSWER tab put the Ticker in A1 and the correlation in B1\n", - " - use CORREL to determine correlation\n", - "- be sure to first sort the date by ticker z to a and then date ascending before calculating nextdaypricechange %\n", - "Correlation should be rounded to 2 decimal points\n" - ] - } - ], - "source": [ - "# Load SheetBench taskset\n", - "taskset = await load_taskset(\"SheetBench-V2\")\n", - "print(f\"Total tasks in SheetBench: {len(taskset)}\")\n", - "\n", - "# Select a test task\n", - "test = taskset[0]\n", - "print(f\"Task prompt: {test.prompt}\")" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "[INFO] 2025-08-08 19:08:17,078 | hud.environment | View the live trace at https://app.hud.so/trace/ca88c178-cf40-499b-8ad3-d5d60348d9fe\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Environment ready!\n" - ] - } - ], - "source": [ - "# Create environment (takes ~2.5 minutes to start)\n", - "env = await gym.make(test)\n", - "print(\"Environment ready!\")" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - "
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\\n '" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "await env.stream() # vnc" + "from pprint import pprint" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "## Test with any supported CUA model\n", + "## Quick single-task smoke test on OSWorld-Verified\n", "\n", "The ComputerAgent integration can use Claude, OpenAI, UI-TARS, or composed models just like the original ComputerAgent:" ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 1, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\Users\\dillo\\miniconda3\\envs\\cua\\Lib\\site-packages\\tqdm\\auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + }, { "name": "stdout", "output_type": "stream", "text": [ - "Created agent: computeragent-computer-use-preview\n" + "\n", + "\u001b[90m╔═════════════════════════════════════════════════════════════════╗\u001b[0m\n", + "\u001b[90m║\u001b[0m 🚀 See your agent live at: \u001b[90m║\u001b[0m\n", + "\u001b[90m╟─────────────────────────────────────────────────────────────────╢\u001b[0m\n", + "\u001b[90m║\u001b[0m \u001b[1m\u001b[33mhttps://app.hud.so/trace/60b2956b-8520-4225-93d3-22ea2ff0253b\u001b[0m \u001b[90m║\u001b[0m\n", + "\u001b[90m╚═════════════════════════════════════════════════════════════════╝\u001b[0m\n", + "\n", + "Running: Calculate from the RawData tab the z-scores from the mean close price for each row. Return, starting in ANSWER!A1 and descending to ANSWER!A5, the 5 dates with the greatest absolute value of standard deviations from the mean\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2025-08-27 13:10:52,780 - agent.ComputerAgent - INFO - LLM processing started with 1 messages\n", + "Step failed: 'dict' object has no attribute 'id'\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✅ Reward: 0.0\n", + "\n", + "\u001b[92m✓ Trace complete!\u001b[0m \u001b[2mView at:\u001b[0m \u001b[1m\u001b[33mhttps://app.hud.so/trace/60b2956b-8520-4225-93d3-22ea2ff0253b\u001b[0m\n", + "\n" ] } ], "source": [ - "import logging\n", - "# Create ComputerAgent with Claude\n", - "claude_agent = ComputerAgent(\n", - " # model=\"anthropic/claude-3-5-sonnet-20241022\",\n", - " model=\"openai/computer-use-preview\",\n", - " # environment=\"linux\", # OSWorld typically uses Linux\n", - " environment=\"browser\", # SheetBench uses the browser\n", - " trajectory_dir=\"trajectories\",\n", - " verbosity=logging.INFO,\n", - ")\n", + "from agent.integrations.hud import run_single_task\n", "\n", - "print(f\"Created agent: {claude_agent.name}\")" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Initial observation complete\n", - "========= Step 1 ==========\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025-08-08 19:14:10,479 - agent.ComputerAgent - INFO - LLM processing started with 1 messages\n", - "2025-08-08 19:14:18,867 - agent.ComputerAgent - INFO - Computer: click({'button': 'left', 'x': 55, 'y': 149})\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Agent's action: [ClickAction(type='click', reasoning='Sorting dataset for analysis preparation', logs={'conversation_length': 3}, point=Point(x=77, y=174), button='left', pattern=None, hold_keys=None)]\n", - "========= Step 2 ==========\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025-08-08 19:14:24,566 - agent.ComputerAgent - INFO - LLM processing started with 4 messages\n", - "2025-08-08 19:14:30,430 - agent.ComputerAgent - INFO - Computer: keypress({'keys': ['CTRL', 'A']})\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Agent's action: [PressAction(type='press', reasoning='Sorting dataset for analysis preparation', logs={'conversation_length': 5}, keys=['ctrl', 'a'])]\n", - "========= Step 3 ==========\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025-08-08 19:14:36,137 - agent.ComputerAgent - INFO - LLM processing started with 6 messages\n", - "2025-08-08 19:14:42,483 - agent.ComputerAgent - INFO - Computer: click({'button': 'left', 'x': 73, 'y': 151})\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Agent's action: [ClickAction(type='click', reasoning='Sorting dataset for analysis preparation', logs={'conversation_length': 7}, point=Point(x=102, y=176), button='left', pattern=None, hold_keys=None)]\n", - "========= Step 4 ==========\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025-08-08 19:14:48,687 - agent.ComputerAgent - INFO - LLM processing started with 8 messages\n", - "2025-08-08 19:14:59,516 - agent.ComputerAgent - INFO - Computer: keypress({'keys': ['CTRL', 'A']})\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Agent's action: [PressAction(type='press', reasoning='Sorting dataset for analysis preparation', logs={'conversation_length': 9}, keys=['ctrl', 'a'])]\n", - "========= Step 5 ==========\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025-08-08 19:15:05,229 - agent.ComputerAgent - INFO - LLM processing started with 10 messages\n", - "2025-08-08 19:15:15,153 - agent.ComputerAgent - INFO - Computer: drag({'path': [{'x': 55, 'y': 147}, {'x': 319, 'y': 713}]})\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Agent's action: [DragAction(type='drag', reasoning='Highlighting data for sorting preparation', logs={'conversation_length': 12}, path=[Point(x=77, y=172), Point(x=448, y=835)], pattern=None, hold_keys=None)]\n", - "========= Step 6 ==========\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025-08-08 19:15:21,362 - agent.ComputerAgent - INFO - LLM processing started with 13 messages\n", - "2025-08-08 19:15:33,774 - agent.ComputerAgent - INFO - Computer: click({'button': 'left', 'x': 229, 'y': 41})\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Agent's action: [ClickAction(type='click', reasoning='Opening sort options for data', logs={'conversation_length': 15}, point=Point(x=322, y=48), button='left', pattern=None, hold_keys=None)]\n", - "========= Step 7 ==========\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025-08-08 19:15:39,973 - agent.ComputerAgent - INFO - LLM processing started with 16 messages\n", - "2025-08-08 19:15:52,928 - agent.ComputerAgent - INFO - Computer: click({'button': 'left', 'x': 430, 'y': 96})\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Agent's action: [ClickAction(type='click', reasoning='Choosing \"Sort range\" for sorting', logs={'conversation_length': 18}, point=Point(x=604, y=112), button='left', pattern=None, hold_keys=None)]\n", - "========= Step 8 ==========\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025-08-08 19:15:59,611 - agent.ComputerAgent - INFO - LLM processing started with 19 messages\n", - "2025-08-08 19:16:17,003 - agent.ComputerAgent - INFO - Computer: click({'button': 'left', 'x': 530, 'y': 172})\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Agent's action: [ClickAction(type='click', reasoning='Accessing advanced sorting options now', logs={'conversation_length': 21}, point=Point(x=745, y=201), button='left', pattern=None, hold_keys=None)]\n" - ] - } - ], - "source": [ - "# Initial observation\n", - "obs, _ = await env.reset()\n", - "print(\"Initial observation complete\")\n", - "\n", - "# Agent loop with Claude\n", - "for i in range(8):\n", - " print(f\"========= Step {i + 1} ==========\")\n", - " \n", - " try:\n", - " action, done = await claude_agent.predict(obs)\n", - " print(f\"Agent's action: {action}\")\n", - "\n", - " obs, reward, terminated, info = await env.step(action)\n", - "\n", - " if done or terminated:\n", - " print(f\"Task completed after {i + 1} steps\")\n", - " break\n", - " \n", - " except Exception as e:\n", - " print(f\"Error in step {i + 1}: {e}\")\n", - " break" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Evaluate Results" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "=== Final Evaluation ===\n", - "{'error': None,\n", - " 'gold_file_url': 'https://gahludmjcsmszgyufydt.supabase.co//storage/v1/object/public/sheetbench/615426c8-9df7-4ffa-92e9-200134a84da9/gold_solution_2.xlsx?',\n", - " 'logs': 'INFO: Starting evaluation with evaluator: sheets_cell_values\\n'\n", - " \"INFO: Evaluator args: [{'A1': 'ABC', 'B1': '-0.08'}]\\n\"\n", - " 'INFO: Partial rewarding: False\\n'\n", - " 'INFO: Starting sheets_cell_values evaluation for environment: '\n", - " 'af7a34a0-43b0-44d2-82d0-2b66ed16f1ea\\n'\n", - " \"INFO: Raw args received: [{'A1': 'ABC', 'B1': '-0.08'}] (type: \"\n", - " \")\\n\"\n", - " 'INFO: Partial rewarding enabled: False\\n'\n", - " 'INFO: === Google Sheets Cell Value Verification ===\\n'\n", - " 'INFO: Current page URL: '\n", - " 'https://docs.google.com/spreadsheets/d/1h-Ec3rW9sAME2sTn8qxIvFxO6qXtdURPacEFL5DJnqw/edit?gid=700326861#gid=700326861\\n'\n", - " 'INFO: ✅ Confirmed on Google Sheets page\\n'\n", - " 'INFO: Processing args parameter...\\n'\n", - " 'INFO: Args is a list with 1 items, extracting first item\\n'\n", - " \"INFO: Extracted: {'A1': 'ABC', 'B1': '-0.08'} (type: )\\n\"\n", - " 'INFO: Cell checks to perform: 2 cells\\n'\n", - " \"INFO: A1 -> expected: 'ABC'\\n\"\n", - " \"INFO: B1 -> expected: '-0.08'\\n\"\n", - " 'INFO: [TASK af7a34a0-43b0-44d2-82d0-2b66ed16f1ea] '\n", - " \"sheets_cell_values: Checking cells: {'A1': 'ABC', 'B1': '-0.08'}\\n\"\n", - " 'INFO: === ANSWER Sheet Navigation ===\\n'\n", - " 'INFO: Attempt 1/3: Attempting to find and navigate to ANSWER sheet '\n", - " 'tab...\\n'\n", - " 'INFO: [TASK af7a34a0-43b0-44d2-82d0-2b66ed16f1ea] '\n", - " 'sheets_cell_values: Attempt 1/3: Attempting to navigate to ANSWER '\n", - " 'sheet\\n'\n", - " 'INFO: Searching for ANSWER tab with selector: '\n", - " 'span.docs-sheet-tab-name:has-text(\"ANSWER\")\\n'\n", - " 'INFO: ANSWER tab search result (attempt 1): Found\\n'\n", - " 'INFO: ✅ Found ANSWER sheet tab on attempt 1, clicking on it...\\n'\n", - " 'INFO: [TASK af7a34a0-43b0-44d2-82d0-2b66ed16f1ea] '\n", - " 'sheets_cell_values: Found ANSWER sheet tab on attempt 1, clicking on '\n", - " 'it\\n'\n", - " 'ERROR: ❌ Error navigating to ANSWER sheet on attempt 1: '\n", - " 'Locator.click: Timeout 30000ms exceeded.\\n'\n", - " 'Call log:\\n'\n", - " ' - waiting for '\n", - " 'locator(\"span.docs-sheet-tab-name:has-text(\\\\\"ANSWER\\\\\")\")\\n'\n", - " ' - - locator resolved to ANSWER\\n'\n", - " ' - - attempting click action\\n'\n", - " ' - 2 × waiting for element to be visible, enabled and stable\\n'\n", - " ' - - element is visible, enabled and stable\\n'\n", - " ' - - scrolling into view if needed\\n'\n", - " ' - - done scrolling\\n'\n", - " ' - -
'\n", - " 'intercepts pointer events\\n'\n", - " ' - - retrying click action\\n'\n", - " ' - - waiting 20ms\\n'\n", - " ' - 2 × waiting for element to be visible, enabled and stable\\n'\n", - " ' - - element is visible, enabled and stable\\n'\n", - " ' - - scrolling into view if needed\\n'\n", - " ' - - done scrolling\\n'\n", - " ' - -
'\n", - " 'intercepts pointer events\\n'\n", - " ' - - retrying click action\\n'\n", - " ' - - waiting 100ms\\n'\n", - " ' - 35 × waiting for element to be visible, enabled and stable\\n'\n", - " ' - - element is visible, enabled and stable\\n'\n", - " ' - - scrolling into view if needed\\n'\n", - " ' - - done scrolling\\n'\n", - " ' - -
'\n", - " 'intercepts pointer events\\n'\n", - " ' - - retrying click action\\n'\n", - " ' - - waiting 500ms\\n'\n", - " '\\n'\n", - " 'WARNING: [TASK af7a34a0-43b0-44d2-82d0-2b66ed16f1ea] '\n", - " 'sheets_cell_values: Error navigating to ANSWER sheet on attempt 1: '\n", - " 'Locator.click: Timeout 30000ms exceeded.\\n'\n", - " 'Call log:\\n'\n", - " ' - waiting for '\n", - " 'locator(\"span.docs-sheet-tab-name:has-text(\\\\\"ANSWER\\\\\")\")\\n'\n", - " ' - - locator resolved to ANSWER\\n'\n", - " ' - - attempting click action\\n'\n", - " ' - 2 × waiting for element to be visible, enabled and stable\\n'\n", - " ' - - element is visible, enabled and stable\\n'\n", - " ' - - scrolling into view if needed\\n'\n", - " ' - - done scrolling\\n'\n", - " ' - -
'\n", - " 'intercepts pointer events\\n'\n", - " ' - - retrying click action\\n'\n", - " ' - - waiting 20ms\\n'\n", - " ' - 2 × waiting for element to be visible, enabled and stable\\n'\n", - " ' - - element is visible, enabled and stable\\n'\n", - " ' - - scrolling into view if needed\\n'\n", - " ' - - done scrolling\\n'\n", - " ' - -
'\n", - " 'intercepts pointer events\\n'\n", - " ' - - retrying click action\\n'\n", - " ' - - waiting 100ms\\n'\n", - " ' - 35 × waiting for element to be visible, enabled and stable\\n'\n", - " ' - - element is visible, enabled and stable\\n'\n", - " ' - - scrolling into view if needed\\n'\n", - " ' - - done scrolling\\n'\n", - " ' - -
'\n", - " 'intercepts pointer events\\n'\n", - " ' - - retrying click action\\n'\n", - " ' - - waiting 500ms\\n'\n", - " '\\n'\n", - " 'INFO: Waiting 500ms before retry 2...\\n'\n", - " 'INFO: Attempt 2/3: Attempting to find and navigate to ANSWER sheet '\n", - " 'tab...\\n'\n", - " 'INFO: [TASK af7a34a0-43b0-44d2-82d0-2b66ed16f1ea] '\n", - " 'sheets_cell_values: Attempt 2/3: Attempting to navigate to ANSWER '\n", - " 'sheet\\n'\n", - " 'INFO: Searching for ANSWER tab with selector: '\n", - " 'span.docs-sheet-tab-name:has-text(\"ANSWER\")\\n'\n", - " 'INFO: ANSWER tab search result (attempt 2): Found\\n'\n", - " 'INFO: ✅ Found ANSWER sheet tab on attempt 2, clicking on it...\\n'\n", - " 'INFO: [TASK af7a34a0-43b0-44d2-82d0-2b66ed16f1ea] '\n", - " 'sheets_cell_values: Found ANSWER sheet tab on attempt 2, clicking on '\n", - " 'it\\n'\n", - " 'ERROR: ❌ Error navigating to ANSWER sheet on attempt 2: '\n", - " 'Locator.click: Timeout 30000ms exceeded.\\n'\n", - " 'Call log:\\n'\n", - " ' - waiting for '\n", - " 'locator(\"span.docs-sheet-tab-name:has-text(\\\\\"ANSWER\\\\\")\")\\n'\n", - " ' - - locator resolved to ANSWER\\n'\n", - " ' - - attempting click action\\n'\n", - " ' - 2 × waiting for element to be visible, enabled and stable\\n'\n", - " ' - - element is visible, enabled and stable\\n'\n", - " ' - - scrolling into view if needed\\n'\n", - " ' - - done scrolling\\n'\n", - " ' - -
'\n", - " 'intercepts pointer events\\n'\n", - " ' - - retrying click action\\n'\n", - " ' - - waiting 20ms\\n'\n", - " ' - 2 × waiting for element to be visible, enabled and stable\\n'\n", - " ' - - element is visible, enabled and stable\\n'\n", - " ' - - scrolling into view if needed\\n'\n", - " ' - - done scrolling\\n'\n", - " ' - -
'\n", - " 'intercepts pointer events\\n'\n", - " ' - - retrying click action\\n'\n", - " ' - - waiting 100ms\\n'\n", - " ' - 35 × waiting for element to be visible, enabled and stable\\n'\n", - " ' - - element is visible, enabled and stable\\n'\n", - " ' - - scrolling into view if needed\\n'\n", - " ' - - done scrolling\\n'\n", - " ' - -
'\n", - " 'intercepts pointer events\\n'\n", - " ' - - retrying click action\\n'\n", - " ' - - waiting 500ms\\n'\n", - " '\\n'\n", - " 'WARNING: [TASK af7a34a0-43b0-44d2-82d0-2b66ed16f1ea] '\n", - " 'sheets_cell_values: Error navigating to ANSWER sheet on attempt 2: '\n", - " 'Locator.click: Timeout 30000ms exceeded.\\n'\n", - " 'Call log:\\n'\n", - " ' - waiting for '\n", - " 'locator(\"span.docs-sheet-tab-name:has-text(\\\\\"ANSWER\\\\\")\")\\n'\n", - " ' - - locator resolved to ANSWER\\n'\n", - " ' - - attempting click action\\n'\n", - " ' - 2 × waiting for element to be visible, enabled and stable\\n'\n", - " ' - - element is visible, enabled and stable\\n'\n", - " ' - - scrolling into view if needed\\n'\n", - " ' - - done scrolling\\n'\n", - " ' - -
'\n", - " 'intercepts pointer events\\n'\n", - " ' - - retrying click action\\n'\n", - " ' - - waiting 20ms\\n'\n", - " ' - 2 × waiting for element to be visible, enabled and stable\\n'\n", - " ' - - element is visible, enabled and stable\\n'\n", - " ' - - scrolling into view if needed\\n'\n", - " ' - - done scrolling\\n'\n", - " ' - -
'\n", - " 'intercepts pointer events\\n'\n", - " ' - - retrying click action\\n'\n", - " ' - - waiting 100ms\\n'\n", - " ' - 35 × waiting for element to be visible, enabled and stable\\n'\n", - " ' - - element is visible, enabled and stable\\n'\n", - " ' - - scrolling into view if needed\\n'\n", - " ' - - done scrolling\\n'\n", - " ' - -
'\n", - " 'intercepts pointer events\\n'\n", - " ' - - retrying click action\\n'\n", - " ' - - waiting 500ms\\n'\n", - " '\\n'\n", - " 'INFO: Waiting 500ms before retry 3...\\n'\n", - " 'INFO: Attempt 3/3: Attempting to find and navigate to ANSWER sheet '\n", - " 'tab...\\n'\n", - " 'INFO: [TASK af7a34a0-43b0-44d2-82d0-2b66ed16f1ea] '\n", - " 'sheets_cell_values: Attempt 3/3: Attempting to navigate to ANSWER '\n", - " 'sheet\\n'\n", - " 'INFO: Searching for ANSWER tab with selector: '\n", - " 'span.docs-sheet-tab-name:has-text(\"ANSWER\")\\n'\n", - " 'INFO: ANSWER tab search result (attempt 3): Found\\n'\n", - " 'INFO: ✅ Found ANSWER sheet tab on attempt 3, clicking on it...\\n'\n", - " 'INFO: [TASK af7a34a0-43b0-44d2-82d0-2b66ed16f1ea] '\n", - " 'sheets_cell_values: Found ANSWER sheet tab on attempt 3, clicking on '\n", - " 'it\\n'\n", - " 'ERROR: ❌ Error navigating to ANSWER sheet on attempt 3: '\n", - " 'Locator.click: Timeout 30000ms exceeded.\\n'\n", - " 'Call log:\\n'\n", - " ' - waiting for '\n", - " 'locator(\"span.docs-sheet-tab-name:has-text(\\\\\"ANSWER\\\\\")\")\\n'\n", - " ' - - locator resolved to ANSWER\\n'\n", - " ' - - attempting click action\\n'\n", - " ' - 2 × waiting for element to be visible, enabled and stable\\n'\n", - " ' - - element is visible, enabled and stable\\n'\n", - " ' - - scrolling into view if needed\\n'\n", - " ' - - done scrolling\\n'\n", - " ' - -
'\n", - " 'intercepts pointer events\\n'\n", - " ' - - retrying click action\\n'\n", - " ' - - waiting 20ms\\n'\n", - " ' - 2 × waiting for element to be visible, enabled and stable\\n'\n", - " ' - - element is visible, enabled and stable\\n'\n", - " ' - - scrolling into view if needed\\n'\n", - " ' - - done scrolling\\n'\n", - " ' - -
'\n", - " 'intercepts pointer events\\n'\n", - " ' - - retrying click action\\n'\n", - " ' - - waiting 100ms\\n'\n", - " ' - 35 × waiting for element to be visible, enabled and stable\\n'\n", - " ' - - element is visible, enabled and stable\\n'\n", - " ' - - scrolling into view if needed\\n'\n", - " ' - - done scrolling\\n'\n", - " ' - -
'\n", - " 'intercepts pointer events\\n'\n", - " ' - - retrying click action\\n'\n", - " ' - - waiting 500ms\\n'\n", - " '\\n'\n", - " 'WARNING: [TASK af7a34a0-43b0-44d2-82d0-2b66ed16f1ea] '\n", - " 'sheets_cell_values: Error navigating to ANSWER sheet on attempt 3: '\n", - " 'Locator.click: Timeout 30000ms exceeded.\\n'\n", - " 'Call log:\\n'\n", - " ' - waiting for '\n", - " 'locator(\"span.docs-sheet-tab-name:has-text(\\\\\"ANSWER\\\\\")\")\\n'\n", - " ' - - locator resolved to ANSWER\\n'\n", - " ' - - attempting click action\\n'\n", - " ' - 2 × waiting for element to be visible, enabled and stable\\n'\n", - " ' - - element is visible, enabled and stable\\n'\n", - " ' - - scrolling into view if needed\\n'\n", - " ' - - done scrolling\\n'\n", - " ' - -
'\n", - " 'intercepts pointer events\\n'\n", - " ' - - retrying click action\\n'\n", - " ' - - waiting 20ms\\n'\n", - " ' - 2 × waiting for element to be visible, enabled and stable\\n'\n", - " ' - - element is visible, enabled and stable\\n'\n", - " ' - - scrolling into view if needed\\n'\n", - " ' - - done scrolling\\n'\n", - " ' - -
'\n", - " 'intercepts pointer events\\n'\n", - " ' - - retrying click action\\n'\n", - " ' - - waiting 100ms\\n'\n", - " ' - 35 × waiting for element to be visible, enabled and stable\\n'\n", - " ' - - element is visible, enabled and stable\\n'\n", - " ' - - scrolling into view if needed\\n'\n", - " ' - - done scrolling\\n'\n", - " ' - -
'\n", - " 'intercepts pointer events\\n'\n", - " ' - - retrying click action\\n'\n", - " ' - - waiting 500ms\\n'\n", - " '\\n'\n", - " 'WARNING: ⚠️ Failed to navigate to ANSWER sheet after 3 attempts, '\n", - " 'proceeding with current sheet\\n'\n", - " 'WARNING: [TASK af7a34a0-43b0-44d2-82d0-2b66ed16f1ea] '\n", - " 'sheets_cell_values: Failed to navigate to ANSWER sheet after 3 '\n", - " 'attempts, proceeding with current sheet\\n'\n", - " 'INFO: === File Content Extraction ===\\n'\n", - " 'INFO: [TASK af7a34a0-43b0-44d2-82d0-2b66ed16f1ea] '\n", - " 'sheets_cell_values: Granted read-write permissions\\n'\n", - " 'INFO: [TASK af7a34a0-43b0-44d2-82d0-2b66ed16f1ea] '\n", - " 'sheets_cell_values: Extracting page contents\\n'\n", - " 'INFO: [TASK af7a34a0-43b0-44d2-82d0-2b66ed16f1ea] '\n", - " 'sheets_cell_values: Selecting content\\n'\n", - " 'INFO: [TASK af7a34a0-43b0-44d2-82d0-2b66ed16f1ea] '\n", - " 'sheets_cell_values: Successfully extracted 157940 characters from '\n", - " 'file\\n'\n", - " 'INFO: [TASK af7a34a0-43b0-44d2-82d0-2b66ed16f1ea] '\n", - " 'sheets_cell_values: Found 5003 rows in content\\n'\n", - " 'INFO: Content extracted: 157940 characters\\n'\n", - " 'INFO: === Cell Content Parsing ===\\n'\n", - " 'INFO: Split file content into 5003 rows\\n'\n", - " 'INFO: [TASK af7a34a0-43b0-44d2-82d0-2b66ed16f1ea] '\n", - " 'sheets_cell_values: Found 5003 rows in content\\n'\n", - " 'INFO: First few rows of content:\\n'\n", - " \"INFO: Row 1: 'TradeDate | Ticker | ClosePrice | Volume | | '\\n\"\n", - " \"INFO: Row 2: '2023-01-02 | ABC | 476.87 | 2225355 | | '\\n\"\n", - " \"INFO: Row 3: '2023-01-02 | DEF | 322.21 | 3778582 | | '\\n\"\n", - " 'INFO: ... and 5000 more rows\\n'\n", - " 'INFO: === Cell Reference Parsing ===\\n'\n", - " \"INFO: Processing cell reference: 'A1' -> expected: 'ABC'\\n\"\n", - " \"INFO: Parsed 'A1' -> row=1 (0-indexed: 0), col=A (0-indexed: 0)\\n\"\n", - " 'INFO: [TASK af7a34a0-43b0-44d2-82d0-2b66ed16f1ea] '\n", - " 'sheets_cell_values: Parsed cell A1 as row=0, col=0\\n'\n", - " 'INFO: Row 1 exists in content\\n'\n", - " \"INFO: Row 1 has 6 columns: ['Col1', 'Col2', 'Col3', 'Col4', \"\n", - " \"'Col5', 'Col6']\\n\"\n", - " \"INFO: ✅ Found value for A1: 'TradeDate'\\n\"\n", - " 'INFO: [TASK af7a34a0-43b0-44d2-82d0-2b66ed16f1ea] '\n", - " \"sheets_cell_values: Found value for A1: 'TradeDate'\\n\"\n", - " \"INFO: Processing cell reference: 'B1' -> expected: '-0.08'\\n\"\n", - " \"INFO: Parsed 'B1' -> row=1 (0-indexed: 0), col=B (0-indexed: 1)\\n\"\n", - " 'INFO: [TASK af7a34a0-43b0-44d2-82d0-2b66ed16f1ea] '\n", - " 'sheets_cell_values: Parsed cell B1 as row=0, col=1\\n'\n", - " 'INFO: Row 1 exists in content\\n'\n", - " \"INFO: Row 1 has 6 columns: ['Col1', 'Col2', 'Col3', 'Col4', \"\n", - " \"'Col5', 'Col6']\\n\"\n", - " \"INFO: ✅ Found value for B1: 'Ticker'\\n\"\n", - " 'INFO: [TASK af7a34a0-43b0-44d2-82d0-2b66ed16f1ea] '\n", - " \"sheets_cell_values: Found value for B1: 'Ticker'\\n\"\n", - " 'INFO: === Cell Value Comparison ===\\n'\n", - " 'INFO: Comparing cell A1:\\n'\n", - " \"INFO: Expected: 'ABC' (type: )\\n\"\n", - " \"INFO: Actual: 'TradeDate' (type: )\\n\"\n", - " \"INFO: ❌ VALUE MISMATCH: 'TradeDate' != 'ABC'\\n\"\n", - " 'INFO: Comparing cell B1:\\n'\n", - " \"INFO: Expected: '-0.08' (type: )\\n\"\n", - " \"INFO: Actual: 'Ticker' (type: )\\n\"\n", - " \"INFO: ❌ VALUE MISMATCH: 'Ticker' != '-0.08'\\n\"\n", - " 'INFO: === Final Results ===\\n'\n", - " 'INFO: Cell comparison summary:\\n'\n", - " 'INFO: Total cells checked: 2\\n'\n", - " 'INFO: Matches: 0\\n'\n", - " 'INFO: Mismatches: 2\\n'\n", - " \"INFO: Failed cells: ['A1:', 'B1:']\\n\"\n", - " 'INFO: ❌ NOT all cells match expected values\\n'\n", - " 'INFO: Mismatches: [\"Cell A1: expected \\'ABC\\', got \\'TradeDate\\'\", '\n", - " '\"Cell B1: expected \\'-0.08\\', got \\'Ticker\\'\"]\\n'\n", - " 'INFO: [TASK af7a34a0-43b0-44d2-82d0-2b66ed16f1ea] '\n", - " 'sheets_cell_values: Mismatches found: [\"Cell A1: expected \\'ABC\\', '\n", - " 'got \\'TradeDate\\'\", \"Cell B1: expected \\'-0.08\\', got \\'Ticker\\'\"]\\n'\n", - " 'INFO: Final reward: 0.0\\n'\n", - " 'INFO: === Sheets Cell Values Evaluation Complete ===\\n'\n", - " 'INFO: Evaluation completed. Final reward: 0.0\\n',\n", - " 'reward': 0.0}\n" - ] - } - ], - "source": [ - "# Evaluate environment state\n", - "result = await env.evaluate()\n", - "print(\"=== Final Evaluation ===\")\n", - "pprint(result)" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Environment closed\n" - ] - } - ], - "source": [ - "# Clean up\n", - "await env.close()\n", - "print(\"Environment closed\")" + "# Quick single-task smoke test on OSWorld-Verified-XLang\n", + "# You can swap \"hud-evals/OSWorld-Verified-XLang\" -> \"hud-evals/SheetBench-V2\" to test SheetBench.\n", + "await run_single_task(\n", + " dataset=\"hud-evals/SheetBench-50\",\n", + " model=\"openai/computer-use-preview\", # or any supported model string\n", + ")" ] }, { @@ -768,109261 +121,29 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "INFO:httpx:HTTP Request: GET https://orchestration.hud.so/hud-gym/api/v2/tasksets/OSWorld-Verified/tasks \"HTTP/1.1 200 OK\"\n", - "INFO:venv:Taskset OSWorld-Verified loaded successfully\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/jobs \"HTTP/1.1 200 OK\"\n", - " 0%|----------------------------------------| 0/7340 [0:12 output.csv\\nlibreoffice --calc output.csv\\n'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'cd ~/Desktop\\nlibreoffice --headless --convert-to csv file1.xlsx\\nlibreoffice --headless --convert-to csv file2.ods\\ncat file1.csv file2.csv > output.csv\\nlibreoffice --calc output.csv\\n'})\n", - "2025-08-11 15:32:49,711 - agent.ComputerAgent - INFO - Computer: click({'x': 694, 'y': 248})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 694, 'y': 248})\n", - " 2%|----------------------------------------| 155/7340 [6:28<300:27, 23.9 steps/min]2025-08-11 15:32:50,329 - agent.ComputerAgent - INFO - LLM processing started with 22 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 22 messages\n", - "\u001b[92m15:32:50 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 15:32:51,007 - agent.ComputerAgent - INFO - LLM processing started with 22 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 22 messages\n", - "\u001b[92m15:32:51 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 2%|----------------------------------------| 157/7340 [6:30<297:33, 24.1 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 15:32:51,672 - agent.ComputerAgent - INFO - LLM processing started with 20 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 20 messages\n", - "\u001b[92m15:32:51 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:32:52 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:32:53 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 2%|----------------------------------------| 157/7340 [6:32<299:06, 24.0 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m15:32:53 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 15:32:54,187 - agent.ComputerAgent - INFO - Computer: click({'x': 463, 'y': 136})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 463, 'y': 136})\n", - " 2%|----------------------------------------| 157/7340 [6:33<299:58, 23.9 steps/min]\u001b[92m15:32:54 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 15:32:54,845 - agent.ComputerAgent - INFO - Computer: click({'button': 'left', 'x': 103, 'y': 380})\n", - "INFO:agent.ComputerAgent:Computer: click({'button': 'left', 'x': 103, 'y': 380})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/edaeedb6-9993-4b6f-b226-19e2768a5736/invoke \"HTTP/1.1 200 OK\"\n", - " 2%|----------------------------------------| 158/7340 [6:34<298:46, 24.0 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0a91cea7-3ffe-41c2-9405-1151904aee0c/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/e7ac3560-cea1-4b97-a59c-4b3038bec6c7/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 15:32:55,978 - agent.ComputerAgent - INFO - LLM processing started with 18 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 18 messages\n", - "\u001b[92m15:32:56 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 2%|----------------------------------------| 159/7340 [6:35<297:36, 24.1 steps/min]2025-08-11 15:32:56,643 - agent.ComputerAgent - INFO - LLM processing started with 20 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 20 messages\n", - "\u001b[92m15:32:56 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 15:32:57,305 - agent.ComputerAgent - INFO - LLM processing started with 8 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 8 messages\n", - "\u001b[92m15:32:57 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 2%|----------------------------------------| 159/7340 [6:36<298:28, 24.1 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 2%|----------------------------------------| 159/7340 [6:37<299:14, 24.0 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0b1cfd32-0cbc-48e7-890d-9ec0ac043035/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 15:32:59,978 - agent.ComputerAgent - INFO - LLM processing started with 22 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 22 messages\n", - "\u001b[92m15:33:00 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/77f486b6-dc2a-4a1d-bf54-fc05f9a8c3d7/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 2%|----------------------------------------| 159/7340 [6:39<300:32, 23.9 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:33:00 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 15:33:01,288 - agent.ComputerAgent - INFO - LLM processing started with 12 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 12 messages\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:33:01 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:33:01 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m15:33:02 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/835128b8-2a29-46f4-853f-4d70bb46a9d6/invoke \"HTTP/1.1 200 OK\"\n", - " 2%|----------------------------------------| 159/7340 [6:41<302:27, 23.7 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 15:33:03,240 - agent.ComputerAgent - INFO - LLM processing started with 24 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 24 messages\n", - "\u001b[92m15:33:03 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m15:33:03 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 15:33:03,930 - agent.ComputerAgent - INFO - Computer: click({'button': 'left', 'x': 390, 'y': 345})\n", - "INFO:agent.ComputerAgent:Computer: click({'button': 'left', 'x': 390, 'y': 345})\n", - " 2%|----------------------------------------| 159/7340 [6:43<303:26, 23.7 steps/min]\u001b[92m15:33:03 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 15:33:04,616 - agent.ComputerAgent - INFO - Computer: click({'x': 101, 'y': 295})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 101, 'y': 295})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:33:04 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 15:33:06,000 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ctrl+a'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ctrl+a'})\n", - "2025-08-11 15:33:06,671 - agent.ComputerAgent - INFO - Computer: click({'x': 219, 'y': 53})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 219, 'y': 53})\n", - " 2%|----------------------------------------| 160/7340 [6:45<303:33, 23.7 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:33:07 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m15:33:08 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 15:33:08,650 - agent.ComputerAgent - INFO - LLM processing started with 22 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 22 messages\n", - "\u001b[92m15:33:08 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m15:33:09 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 2%|----------------------------------------| 162/7340 [6:48<301:44, 23.8 steps/min]\u001b[92m15:33:09 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 15:33:09,987 - agent.ComputerAgent - INFO - Computer: click({'x': 812, 'y': 189})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 812, 'y': 189})\n", - "\u001b[92m15:33:09 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m15:33:10 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 15:33:11,307 - agent.ComputerAgent - INFO - Computer: click({'x': 102, 'y': 238})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 102, 'y': 238})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:33:11 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 15:33:12,659 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ctrl+a'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ctrl+a'})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:33:13 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 2%|----------------------------------------| 162/7340 [6:52<304:40, 23.6 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 15:33:14,031 - agent.ComputerAgent - INFO - Computer: click({'x': 309, 'y': 116})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 309, 'y': 116})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/create_environment \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 15:33:15,326 - agent.ComputerAgent - INFO - Computer: wait({})\n", - "INFO:agent.ComputerAgent:Computer: wait({})\n", - "2025-08-11 15:33:15,962 - agent.ComputerAgent - INFO - LLM processing started with 18 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 18 messages\n", - "\u001b[92m15:33:15 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m15:33:16 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:33:16 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m15:33:16 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/create_environment \"HTTP/1.1 200 OK\"\n", - " 2%|----------------------------------------| 164/7340 [6:55<303:17, 23.7 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 15:33:17,260 - agent.ComputerAgent - INFO - Computer: click({'x': 652, 'y': 139})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 652, 'y': 139})\n", - "2025-08-11 15:33:17,929 - agent.ComputerAgent - INFO - Computer: click({'x': 212, 'y': 53})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 212, 'y': 53})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m15:33:18 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m15:33:18 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:33:19 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 15:33:20,602 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ctrl+alt+t'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ctrl+alt+t'})\n", - " 2%|----------------------------------------| 166/7340 [6:59<302:22, 23.7 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 15:33:21,282 - agent.ComputerAgent - INFO - Computer: click({'x': 371, 'y': 624})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 371, 'y': 624})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 15:33:22,607 - agent.ComputerAgent - INFO - Computer: type({'text': '100'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': '100'})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/8d197f4f-b7b0-4196-9681-135d7bc3a45b/invoke \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:33:22 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m15:33:22 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/e9d83ed4-d6d0-46f7-982b-98433769e30b/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 15:33:23,270 - agent.ComputerAgent - INFO - LLM processing started with 14 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 14 messages\n", - " 2%|----------------------------------------| 168/7340 [7:02<300:36, 23.9 steps/min]\u001b[92m15:33:23 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 15:33:23,919 - agent.ComputerAgent - INFO - Computer: click({'x': 414, 'y': 75})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 414, 'y': 75})\n", - "2025-08-11 15:33:24,594 - agent.ComputerAgent - INFO - Computer: double_click({'x': 473, 'y': 93})\n", - "INFO:agent.ComputerAgent:Computer: double_click({'x': 473, 'y': 93})\n", - " 2%|----------------------------------------| 170/7340 [7:03<297:55, 24.1 steps/min]2025-08-11 15:33:25,220 - agent.ComputerAgent - INFO - LLM processing started with 12 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 12 messages\n", - "\u001b[92m15:33:25 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/ae9871c0-5cb9-4c5b-9c02-c899819f9f81/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 15:33:25,919 - agent.ComputerAgent - INFO - LLM processing started with 20 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 20 messages\n", - "\u001b[92m15:33:25 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 2%|----------------------------------------| 172/7340 [7:05<295:18, 24.3 steps/min]2025-08-11 15:33:26,562 - agent.ComputerAgent - INFO - LLM processing started with 10 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 10 messages\n", - "\u001b[92m15:33:26 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 15:33:27,860 - agent.ComputerAgent - INFO - Computer: type({'text': 'edited_colorful.png'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'edited_colorful.png'})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:33:28 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0a6ee00b-4e8c-4a3f-bac1-9baec4d920a2/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/e1e61614-8290-4d90-9feb-594d2a7199e8/invoke \"HTTP/1.1 200 OK\"\n", - " 2%|----------------------------------------| 172/7340 [7:07<297:07, 24.1 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m15:33:29 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 15:33:29,689 - agent.ComputerAgent - INFO - Computer: click({'x': 693, 'y': 130})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 693, 'y': 130})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/77f486b6-dc2a-4a1d-bf54-fc05f9a8c3d7/invoke \"HTTP/1.1 200 OK\"\n", - " 2%|----------------------------------------| 173/7340 [7:08<296:07, 24.2 steps/min]2025-08-11 15:33:30,343 - agent.ComputerAgent - INFO - LLM processing started with 14 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 14 messages\n", - "\u001b[92m15:33:30 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/cfefeec4-603f-4657-b0fe-7a641734693c/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/982f8f16-b578-409f-8388-d8d5ee68ccee/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 15:33:31,382 - agent.ComputerAgent - INFO - LLM processing started with 22 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 22 messages\n", - "\u001b[92m15:33:31 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/2d349f43-6c63-4144-9bd3-bbd16183b16d/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/69393c41-bcaa-4752-9a82-e3b105fae459/invoke \"HTTP/1.1 200 OK\"\n", - " 2%|----------------------------------------| 174/7340 [7:10<295:35, 24.2 steps/min]2025-08-11 15:33:32,020 - agent.ComputerAgent - INFO - LLM processing started with 10 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 10 messages\n", - "\u001b[92m15:33:32 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0a91cea7-3ffe-41c2-9405-1151904aee0c/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 15:33:32,699 - agent.ComputerAgent - INFO - LLM processing started with 22 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 22 messages\n", - "\u001b[92m15:33:32 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 2%|----------------------------------------| 174/7340 [7:11<296:28, 24.2 steps/min]2025-08-11 15:33:33,362 - agent.ComputerAgent - INFO - LLM processing started with 24 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 24 messages\n", - "\u001b[92m15:33:33 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v1/environments/0a6ee00b-4e8c-4a3f-bac1-9baec4d920a2/reset \"HTTP/1.1 200 OK\"\n", - "2025-08-11 15:33:34,058 - agent.ComputerAgent - INFO - LLM processing started with 10 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 10 messages\n", - "\u001b[92m15:33:34 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/5a854981-aa94-433f-9381-2964f1117035/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/edaeedb6-9993-4b6f-b226-19e2768a5736/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/e7ac3560-cea1-4b97-a59c-4b3038bec6c7/invoke \"HTTP/1.1 200 OK\"\n", - " 2%|----------------------------------------| 174/7340 [7:13<297:25, 24.1 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0b1cfd32-0cbc-48e7-890d-9ec0ac043035/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 15:33:34,700 - agent.ComputerAgent - INFO - LLM processing started with 24 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 24 messages\n", - "\u001b[92m15:33:34 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 15:33:35,380 - agent.ComputerAgent - INFO - LLM processing started with 20 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 20 messages\n", - "\u001b[92m15:33:35 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 2%|----------------------------------------| 174/7340 [7:14<298:20, 24.0 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/835128b8-2a29-46f4-853f-4d70bb46a9d6/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 15:33:36,059 - agent.ComputerAgent - INFO - LLM processing started with 22 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 22 messages\n", - "\u001b[92m15:33:36 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:33:36 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m15:33:37 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/49f1eefe-9bc4-430c-a6c8-83675960a057/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0a6ee00b-4e8c-4a3f-bac1-9baec4d920a2/invoke \"HTTP/1.1 200 OK\"\n", - " 2%|----------------------------------------| 174/7340 [7:16<299:43, 23.9 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 15:33:38,043 - agent.ComputerAgent - INFO - LLM processing started with 1 messages\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:agent.ComputerAgent:LLM processing started with 1 messages\n", - "\u001b[92m15:33:38 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m15:33:38 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:33:38 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 15:33:39,360 - agent.ComputerAgent - INFO - Computer: click({'x': 15, 'y': 285})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 15, 'y': 285})\n", - "\u001b[92m15:33:39 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 2%|----------------------------------------| 174/7340 [7:18<301:01, 23.8 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m15:33:39 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 15:33:40,000 - agent.ComputerAgent - INFO - LLM processing started with 24 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 24 messages\n", - "\u001b[92m15:33:40 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m15:33:40 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 15:33:40,660 - agent.ComputerAgent - INFO - Computer: click({'x': 20, 'y': 139})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 20, 'y': 139})\n", - "\u001b[92m15:33:40 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 15:33:42,006 - agent.ComputerAgent - INFO - Computer: type({'text': 'clear cookies on exit'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'clear cookies on exit'})\n", - " 2%|----------------------------------------| 175/7340 [7:21<301:04, 23.8 steps/min]2025-08-11 15:33:42,645 - agent.ComputerAgent - INFO - LLM processing started with 24 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 24 messages\n", - "\u001b[92m15:33:42 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 15:33:43,335 - agent.ComputerAgent - INFO - Computer: drag({'path': [{'x': 46, 'y': 166}, {'x': 386, 'y': 356}]})\n", - "INFO:agent.ComputerAgent:Computer: drag({'path': [{'x': 46, 'y': 166}, {'x': 386, 'y': 356}]})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:33:44 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 2%|----------------------------------------| 177/7340 [7:23<298:59, 24.0 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m15:33:44 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m15:33:44 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 15:33:45,327 - agent.ComputerAgent - INFO - Computer: double_click({'x': 244, 'y': 155})\n", - "INFO:agent.ComputerAgent:Computer: double_click({'x': 244, 'y': 155})\n", - "\u001b[92m15:33:45 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 15:33:46,591 - agent.ComputerAgent - INFO - Agent: Taking a screenshot to see the current computer screen.\n", - "INFO:agent.ComputerAgent:Agent: Taking a screenshot to see the current computer screen.\n", - "2025-08-11 15:33:46,592 - agent.ComputerAgent - INFO - Agent: Opening the desktop and launching GIMP to convert the image to SVG.\n", - "INFO:agent.ComputerAgent:Agent: Opening the desktop and launching GIMP to convert the image to SVG.\n", - "2025-08-11 15:33:46,593 - agent.ComputerAgent - INFO - Computer: screenshot({})\n", - "INFO:agent.ComputerAgent:Computer: screenshot({})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:33:47 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 2%|----------------------------------------| 178/7340 [7:26<299:25, 23.9 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 15:33:47,979 - agent.ComputerAgent - INFO - Computer: scroll({'scroll_y': -525, 'scroll_x': 0, 'x': 126, 'y': 419})\n", - "INFO:agent.ComputerAgent:Computer: scroll({'scroll_y': -525, 'scroll_x': 0, 'x': 126, 'y': 419})\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 15:33:48,644 - agent.ComputerAgent - INFO - LLM processing started with 26 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 26 messages\n", - "\u001b[92m15:33:48 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 2%|----------------------------------------| 180/7340 [7:27<296:56, 24.1 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m15:33:48 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 15:33:49,323 - agent.ComputerAgent - INFO - Computer: click({'x': 249, 'y': 81})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 249, 'y': 81})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:33:50 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 15:33:51,332 - agent.ComputerAgent - INFO - Computer: type({'text': 'focus editor'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'focus editor'})\n", - " 2%|----------------------------------------| 181/7340 [7:30<296:59, 24.1 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m15:33:51 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 15:33:52,512 - agent.ComputerAgent - INFO - Computer: click({'x': 416, 'y': 74})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 416, 'y': 74})\n", - " 2%|----------------------------------------| 183/7340 [7:31<294:26, 24.3 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0a6ee00b-4e8c-4a3f-bac1-9baec4d920a2/invoke \"HTTP/1.1 200 OK\"\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "No screenshot found, taking screenshot\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025-08-11 15:33:53,159 - agent.ComputerAgent - INFO - LLM processing started with 7 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 7 messages\n", - "\u001b[92m15:33:53 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/3d9da005-d40d-4335-86ec-275c2ec5665b/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 15:33:53,831 - agent.ComputerAgent - INFO - LLM processing started with 20 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 20 messages\n", - "\u001b[92m15:33:53 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:33:54 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 3%|█---------------------------------------| 184/7340 [7:33<294:07, 24.3 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/77f486b6-dc2a-4a1d-bf54-fc05f9a8c3d7/invoke \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 15:33:55,575 - agent.ComputerAgent - INFO - LLM processing started with 16 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 16 messages\n", - "\u001b[92m15:33:55 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m15:33:55 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/8d197f4f-b7b0-4196-9681-135d7bc3a45b/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/69393c41-bcaa-4752-9a82-e3b105fae459/invoke \"HTTP/1.1 200 OK\"\n", - " 3%|█---------------------------------------| 184/7340 [7:34<294:47, 24.3 steps/min]2025-08-11 15:33:56,223 - agent.ComputerAgent - INFO - Computer: click({'button': 'left', 'x': 336, 'y': 493})\n", - "INFO:agent.ComputerAgent:Computer: click({'button': 'left', 'x': 336, 'y': 493})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/982f8f16-b578-409f-8388-d8d5ee68ccee/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 15:33:56,861 - agent.ComputerAgent - INFO - LLM processing started with 24 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 24 messages\n", - "\u001b[92m15:33:56 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/cfefeec4-603f-4657-b0fe-7a641734693c/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/e9d83ed4-d6d0-46f7-982b-98433769e30b/invoke \"HTTP/1.1 200 OK\"\n", - "ERROR:asyncio:Unclosed client session\n", - "client_session: \n", - " 3%|█---------------------------------------| 184/7340 [7:36<295:51, 24.2 steps/min]2025-08-11 15:33:58,012 - agent.ComputerAgent - INFO - LLM processing started with 14 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 14 messages\n", - "\u001b[92m15:33:58 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/49f1eefe-9bc4-430c-a6c8-83675960a057/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 15:33:58,652 - agent.ComputerAgent - INFO - LLM processing started with 12 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 12 messages\n", - "\u001b[92m15:33:58 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; 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provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 3%|█---------------------------------------| 185/7340 [7:40<297:07, 24.1 steps/min]\u001b[92m15:34:01 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/e7ac3560-cea1-4b97-a59c-4b3038bec6c7/invoke \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 15:34:02,373 - agent.ComputerAgent - INFO - LLM processing started with 24 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 24 messages\n", - "\u001b[92m15:34:02 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m15:34:02 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 15:34:03,423 - agent.ComputerAgent - INFO - Computer: click({'x': 692, 'y': 624})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 692, 'y': 624})\n", - " 3%|█---------------------------------------| 185/7340 [7:42<298:12, 24.0 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:34:04 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - " 3%|█---------------------------------------| 186/7340 [7:44<297:45, 24.0 steps/min]\u001b[92m15:34:05 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/5a854981-aa94-433f-9381-2964f1117035/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m15:34:06 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:34:06 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 15:34:07,220 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'meta'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'meta'})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:34:07 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v1/environments/a74f1790-a107-43c9-8389-0a50a5192c5f/reset \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 15:34:08,609 - agent.ComputerAgent - INFO - Computer: click({'button': 'left', 'x': 550, 'y': 627})\n", - "INFO:agent.ComputerAgent:Computer: click({'button': 'left', 'x': 550, 'y': 627})\n", - "\u001b[92m15:34:08 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:34:09 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 3%|█---------------------------------------| 186/7340 [7:49<300:46, 23.8 steps/min]\u001b[92m15:34:09 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m15:34:10 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 15:34:10,587 - agent.ComputerAgent - INFO - Computer: click({'x': 515, 'y': 457})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 515, 'y': 457})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0a91cea7-3ffe-41c2-9405-1151904aee0c/invoke \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 15:34:11,253 - agent.ComputerAgent - INFO - Computer: click({'x': 905, 'y': 50})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 905, 'y': 50})\n", - "\u001b[92m15:34:11 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m15:34:11 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 15:34:11,905 - agent.ComputerAgent - INFO - Computer: click({'x': 476, 'y': 169})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 476, 'y': 169})\n", - " 3%|█---------------------------------------| 188/7340 [7:51<298:42, 23.9 steps/min]2025-08-11 15:34:12,560 - agent.ComputerAgent - INFO - Computer: scroll({'scroll_x': 0, 'scroll_y': -659, 'x': 18, 'y': 13})\n", - "INFO:agent.ComputerAgent:Computer: scroll({'scroll_x': 0, 'scroll_y': -659, 'x': 18, 'y': 13})\n", - "\u001b[92m15:34:12 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 15:34:13,202 - agent.ComputerAgent - INFO - Computer: click({'x': 19, 'y': 44})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 19, 'y': 44})\n", - " 3%|█---------------------------------------| 191/7340 [7:52<294:43, 24.3 steps/min]2025-08-11 15:34:13,860 - agent.ComputerAgent - INFO - LLM processing started with 26 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 26 messages\n", - "\u001b[92m15:34:13 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0a6ee00b-4e8c-4a3f-bac1-9baec4d920a2/invoke \"HTTP/1.1 502 Bad Gateway\"\n", - "2025-08-11 15:34:14,514 - agent.ComputerAgent - INFO - LLM processing started with 12 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 12 messages\n", - "\u001b[92m15:34:14 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 3%|█---------------------------------------| 193/7340 [7:53<292:23, 24.4 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:34:15 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m15:34:15 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m15:34:16 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 3%|█---------------------------------------| 193/7340 [7:55<293:37, 24.3 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m15:34:17 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 15:34:17,714 - agent.ComputerAgent - INFO - Computer: scroll({'scroll_y': -575, 'scroll_x': 0, 'x': 90, 'y': 194})\n", - "INFO:agent.ComputerAgent:Computer: scroll({'scroll_y': -575, 'scroll_x': 0, 'x': 90, 'y': 194})\n", - " 3%|█---------------------------------------| 193/7340 [7:56<294:20, 24.3 steps/min]\u001b[92m15:34:17 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 15:34:18,367 - agent.ComputerAgent - INFO - Computer: click({'x': 120, 'y': 53})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 120, 'y': 53})\n", - "\u001b[92m15:34:18 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/982f8f16-b578-409f-8388-d8d5ee68ccee/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/f1593044-fc61-4fc8-b29d-87e37914d5c2/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 15:34:19,040 - agent.ComputerAgent - INFO - Computer: click({'x': 15, 'y': 430})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 15, 'y': 430})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/a74f1790-a107-43c9-8389-0a50a5192c5f/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0b1cfd32-0cbc-48e7-890d-9ec0ac043035/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/835128b8-2a29-46f4-853f-4d70bb46a9d6/invoke \"HTTP/1.1 200 OK\"\n", - " 3%|█---------------------------------------| 194/7340 [7:58<293:36, 24.3 steps/min]2025-08-11 15:34:19,683 - agent.ComputerAgent - INFO - LLM processing started with 14 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 14 messages\n", - "\u001b[92m15:34:19 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 15:34:20,361 - agent.ComputerAgent - INFO - LLM processing started with 1 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 1 messages\n", - "\u001b[92m15:34:20 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/2d349f43-6c63-4144-9bd3-bbd16183b16d/invoke \"HTTP/1.1 200 OK\"\n", - " 3%|█---------------------------------------| 196/7340 [7:59<291:21, 24.5 steps/min]2025-08-11 15:34:21,003 - agent.ComputerAgent - INFO - LLM processing started with 16 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 16 messages\n", - "\u001b[92m15:34:21 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/edaeedb6-9993-4b6f-b226-19e2768a5736/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 15:34:21,660 - agent.ComputerAgent - INFO - LLM processing started with 28 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 28 messages\n", - "\u001b[92m15:34:21 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:34:22 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0a6ee00b-4e8c-4a3f-bac1-9baec4d920a2/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 3%|█---------------------------------------| 196/7340 [8:01<292:33, 24.4 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 15:34:23,387 - agent.ComputerAgent - INFO - LLM processing started with 26 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 26 messages\n", - "\u001b[92m15:34:23 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m15:34:23 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 3%|█---------------------------------------| 196/7340 [8:02<293:16, 24.4 steps/min]2025-08-11 15:34:24,065 - agent.ComputerAgent - INFO - Computer: click({'x': 414, 'y': 75})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 414, 'y': 75})\n", - "2025-08-11 15:34:24,731 - agent.ComputerAgent - INFO - LLM processing started with 22 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 22 messages\n", - "\u001b[92m15:34:24 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 15:34:25,787 - agent.ComputerAgent - INFO - LLM processing started with 26 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 26 messages\n", - "\u001b[92m15:34:25 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:34:26 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m15:34:27 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/8d197f4f-b7b0-4196-9681-135d7bc3a45b/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/77f486b6-dc2a-4a1d-bf54-fc05f9a8c3d7/invoke \"HTTP/1.1 200 OK\"\n", - " 3%|█---------------------------------------| 197/7340 [8:06<294:10, 24.3 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 15:34:28,860 - agent.ComputerAgent - INFO - Computer: type({'text': ' active editor group'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': ' active editor group'})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/cfefeec4-603f-4657-b0fe-7a641734693c/invoke \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:34:28 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 3%|█---------------------------------------| 197/7340 [8:08<294:56, 24.2 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m15:34:28 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 15:34:29,500 - agent.ComputerAgent - INFO - LLM processing started with 18 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 18 messages\n", - "\u001b[92m15:34:29 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 15:34:30,194 - agent.ComputerAgent - INFO - Computer: click({'x': 625, 'y': 427})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 625, 'y': 427})\n", - "2025-08-11 15:34:30,876 - agent.ComputerAgent - INFO - Computer: click({'x': 904, 'y': 558})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 904, 'y': 558})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:34:31 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 3%|█---------------------------------------| 198/7340 [8:11<295:24, 24.2 steps/min]\u001b[92m15:34:32 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 15:34:32,811 - agent.ComputerAgent - INFO - LLM processing started with 16 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 16 messages\n", - "\u001b[92m15:34:32 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 15:34:34,147 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ctrl+a'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ctrl+a'})\n", - "\u001b[92m15:34:34 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 3%|█---------------------------------------| 200/7340 [8:13<293:33, 24.3 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m15:34:34 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 15:34:34,769 - agent.ComputerAgent - INFO - Computer: click({'x': 183, 'y': 53})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 183, 'y': 53})\n", - "2025-08-11 15:34:35,412 - agent.ComputerAgent - INFO - Agent: Taking a screenshot to see the current computer screen.\n", - "INFO:agent.ComputerAgent:Agent: Taking a screenshot to see the current computer screen.\n", - "2025-08-11 15:34:35,413 - agent.ComputerAgent - INFO - Computer: click({'x': 15, 'y': 428})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 15, 'y': 428})\n", - "2025-08-11 15:34:36,077 - agent.ComputerAgent - INFO - LLM processing started with 28 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 28 messages\n", - "\u001b[92m15:34:36 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:34:36 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m15:34:37 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 3%|█---------------------------------------| 200/7340 [8:16<295:30, 24.2 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 15:34:38,113 - agent.ComputerAgent - INFO - LLM processing started with 26 messages\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:agent.ComputerAgent:LLM processing started with 26 messages\n", - "\u001b[92m15:34:38 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m15:34:38 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v1/environments/e1e61614-8290-4d90-9feb-594d2a7199e8/reset \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:34:38 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m15:34:39 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 15:34:40,185 - agent.ComputerAgent - INFO - LLM processing started with 9 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 9 messages\n", - "\u001b[92m15:34:40 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 15:34:40,912 - agent.ComputerAgent - INFO - Computer: move({'x': 230, 'y': 128})\n", - "INFO:agent.ComputerAgent:Computer: move({'x': 230, 'y': 128})\n", - "\u001b[92m15:34:40 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 3%|█---------------------------------------| 202/7340 [8:20<294:32, 24.2 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 15:34:41,633 - agent.ComputerAgent - INFO - Computer: click({'button': 'left', 'x': 361, 'y': 549})\n", - "INFO:agent.ComputerAgent:Computer: click({'button': 'left', 'x': 361, 'y': 549})\n", - "\u001b[92m15:34:41 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 15:34:42,290 - agent.ComputerAgent - INFO - Computer: click({'x': 93, 'y': 184})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 93, 'y': 184})\n", - "\u001b[92m15:34:42 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 3%|█---------------------------------------| 203/7340 [8:21<293:50, 24.3 steps/min]2025-08-11 15:34:42,946 - agent.ComputerAgent - INFO - Computer: click({'x': 17, 'y': 382})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 17, 'y': 382})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/e7ac3560-cea1-4b97-a59c-4b3038bec6c7/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/49f1eefe-9bc4-430c-a6c8-83675960a057/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 15:34:43,638 - agent.ComputerAgent - INFO - LLM processing started with 26 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 26 messages\n", - "\u001b[92m15:34:43 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - " 3%|█---------------------------------------| 205/7340 [8:23<292:06, 24.4 steps/min]\u001b[92m15:34:44 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 15:34:44,985 - agent.ComputerAgent - INFO - LLM processing started with 28 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 28 messages\n", - "\u001b[92m15:34:45 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m15:34:45 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 15:34:45,658 - agent.ComputerAgent - INFO - Computer: click({'x': 332, 'y': 92})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 332, 'y': 92})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/3d9da005-d40d-4335-86ec-275c2ec5665b/invoke \"HTTP/1.1 200 OK\"\n", - " 3%|█---------------------------------------| 206/7340 [8:24<291:23, 24.5 steps/min]2025-08-11 15:34:46,281 - agent.ComputerAgent - INFO - LLM processing started with 22 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 22 messages\n", - "\u001b[92m15:34:46 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/e9d83ed4-d6d0-46f7-982b-98433769e30b/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 15:34:47,314 - agent.ComputerAgent - INFO - LLM processing started with 24 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 24 messages\n", - "\u001b[92m15:34:47 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/e1e61614-8290-4d90-9feb-594d2a7199e8/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 3%|█---------------------------------------| 207/7340 [8:26<290:55, 24.5 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/982f8f16-b578-409f-8388-d8d5ee68ccee/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/ae9871c0-5cb9-4c5b-9c02-c899819f9f81/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/a74f1790-a107-43c9-8389-0a50a5192c5f/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 15:34:47,977 - agent.ComputerAgent - INFO - LLM processing started with 1 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 1 messages\n", - "\u001b[92m15:34:47 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/77f486b6-dc2a-4a1d-bf54-fc05f9a8c3d7/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 15:34:48,632 - agent.ComputerAgent - INFO - LLM processing started with 6 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 6 messages\n", - "\u001b[92m15:34:48 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:34:49 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/835128b8-2a29-46f4-853f-4d70bb46a9d6/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 3%|█---------------------------------------| 207/7340 [8:28<292:01, 24.4 steps/min]2025-08-11 15:34:49,913 - agent.ComputerAgent - INFO - LLM processing started with 16 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 16 messages\n", - "\u001b[92m15:34:49 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 15:34:50,584 - agent.ComputerAgent - INFO - LLM processing started with 20 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 20 messages\n", - "\u001b[92m15:34:50 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 15:34:51,263 - agent.ComputerAgent - INFO - LLM processing started with 12 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 12 messages\n", - "\u001b[92m15:34:51 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:34:51 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m15:34:52 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0a91cea7-3ffe-41c2-9405-1151904aee0c/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m15:34:52 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 3%|█---------------------------------------| 207/7340 [8:31<293:58, 24.3 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m15:34:53 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 15:34:53,944 - agent.ComputerAgent - INFO - Computer: click({'button': 'left', 'x': 148, 'y': 105})\n", - "INFO:agent.ComputerAgent:Computer: click({'button': 'left', 'x': 148, 'y': 105})\n", - "\u001b[92m15:34:53 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:34:54 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0b1cfd32-0cbc-48e7-890d-9ec0ac043035/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m15:34:54 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 3%|█---------------------------------------| 207/7340 [8:33<295:06, 24.2 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 15:34:55,256 - agent.ComputerAgent - INFO - Computer: click({'x': 18, 'y': 477})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 18, 'y': 477})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:34:55 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 15:34:57,289 - agent.ComputerAgent - INFO - Computer: type({'text': '100'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': '100'})\n", - "2025-08-11 15:34:57,983 - agent.ComputerAgent - INFO - Computer: click({'x': 462, 'y': 133})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 462, 'y': 133})\n", - "\u001b[92m15:34:57 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m15:34:57 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 3%|█---------------------------------------| 208/7340 [8:37<295:33, 24.1 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 15:34:58,660 - agent.ComputerAgent - INFO - Computer: click({'x': 308, 'y': 116})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 308, 'y': 116})\n", - "2025-08-11 15:34:59,285 - agent.ComputerAgent - INFO - Agent: Taking a screenshot to see the current computer screen.\n", - "INFO:agent.ComputerAgent:Agent: Taking a screenshot to see the current computer screen.\n", - "2025-08-11 15:34:59,286 - agent.ComputerAgent - INFO - Computer: click({'x': 387, 'y': 158})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 387, 'y': 158})\n", - "\u001b[92m15:34:59 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 15:35:00,674 - agent.ComputerAgent - INFO - Computer: click({'x': 640, 'y': 436, 'button': 'left'})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 640, 'y': 436, 'button': 'left'})\n", - " 3%|█---------------------------------------| 211/7340 [8:39<292:45, 24.4 steps/min]2025-08-11 15:35:01,337 - agent.ComputerAgent - INFO - Computer: click({'x': 420, 'y': 101})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 420, 'y': 101})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:35:02 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m15:35:02 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 3%|█---------------------------------------| 214/7340 [8:41<289:39, 24.6 steps/min]\u001b[92m15:35:02 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 15:35:03,280 - agent.ComputerAgent - INFO - Computer: double_click({'x': 213, 'y': 117})\n", - "INFO:agent.ComputerAgent:Computer: double_click({'x': 213, 'y': 117})\n", - "\u001b[92m15:35:03 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 15:35:03,948 - agent.ComputerAgent - INFO - Computer: click({'x': 416, 'y': 75})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 416, 'y': 75})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:35:04 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 3%|█---------------------------------------| 215/7340 [8:43<289:17, 24.6 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 15:35:05,212 - agent.ComputerAgent - INFO - LLM processing started with 28 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 28 messages\n", - "\u001b[92m15:35:05 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m15:35:05 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 15:35:05,863 - agent.ComputerAgent - INFO - Computer: click({'x': 610, 'y': 60})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 610, 'y': 60})\n", - " 3%|█---------------------------------------| 217/7340 [8:45<287:15, 24.8 steps/min]2025-08-11 15:35:06,527 - agent.ComputerAgent - INFO - LLM processing started with 14 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 14 messages\n", - "\u001b[92m15:35:06 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 15:35:07,204 - agent.ComputerAgent - INFO - LLM processing started with 30 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 30 messages\n", - "\u001b[92m15:35:07 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - " 3%|█---------------------------------------| 218/7340 [8:47<287:00, 24.8 steps/min]\u001b[92m15:35:07 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:35:08 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m15:35:08 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/8d197f4f-b7b0-4196-9681-135d7bc3a45b/invoke \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 15:35:09,599 - agent.ComputerAgent - INFO - Computer: click({'x': 385, 'y': 35})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 385, 'y': 35})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:35:09 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m15:35:10 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/69393c41-bcaa-4752-9a82-e3b105fae459/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 3%|█---------------------------------------| 218/7340 [8:49<288:18, 24.7 steps/min]2025-08-11 15:35:10,889 - agent.ComputerAgent - INFO - Computer: click({'x': 237, 'y': 123})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 237, 'y': 123})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m15:35:11 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/edaeedb6-9993-4b6f-b226-19e2768a5736/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/5a854981-aa94-433f-9381-2964f1117035/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/e1e61614-8290-4d90-9feb-594d2a7199e8/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/e7ac3560-cea1-4b97-a59c-4b3038bec6c7/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0a6ee00b-4e8c-4a3f-bac1-9baec4d920a2/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/e9d83ed4-d6d0-46f7-982b-98433769e30b/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/2d349f43-6c63-4144-9bd3-bbd16183b16d/invoke \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:35:11 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/77f486b6-dc2a-4a1d-bf54-fc05f9a8c3d7/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 3%|█---------------------------------------| 219/7340 [8:50<287:40, 24.8 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 15:35:12,208 - agent.ComputerAgent - INFO - Computer: scroll({'scroll_y': -496, 'scroll_x': 0, 'x': 90, 'y': 219})\n", - "INFO:agent.ComputerAgent:Computer: scroll({'scroll_y': -496, 'scroll_x': 0, 'x': 90, 'y': 219})\n", - "\u001b[92m15:35:12 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 15:35:12,847 - agent.ComputerAgent - INFO - LLM processing started with 26 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 26 messages\n", - "\u001b[92m15:35:12 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 15:35:13,519 - agent.ComputerAgent - INFO - Computer: click({'x': 15, 'y': 141})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 15, 'y': 141})\n", - "2025-08-11 15:35:14,161 - agent.ComputerAgent - INFO - LLM processing started with 18 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 18 messages\n", - "\u001b[92m15:35:14 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 15:35:14,807 - agent.ComputerAgent - INFO - LLM processing started with 22 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 22 messages\n", - "\u001b[92m15:35:14 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 3%|█---------------------------------------| 220/7340 [8:54<288:03, 24.7 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/a74f1790-a107-43c9-8389-0a50a5192c5f/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 15:35:15,833 - agent.ComputerAgent - INFO - LLM processing started with 26 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 26 messages\n", - "\u001b[92m15:35:15 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 3%|█---------------------------------------| 222/7340 [8:55<285:57, 24.9 steps/min]2025-08-11 15:35:16,495 - agent.ComputerAgent - INFO - LLM processing started with 8 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 8 messages\n", - "\u001b[92m15:35:16 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 15:35:17,131 - agent.ComputerAgent - INFO - LLM processing started with 6 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 6 messages\n", - "\u001b[92m15:35:17 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 3%|█---------------------------------------| 222/7340 [8:56<286:37, 24.8 steps/min]2025-08-11 15:35:17,814 - agent.ComputerAgent - INFO - LLM processing started with 28 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 28 messages\n", - "\u001b[92m15:35:17 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 15:35:18,873 - agent.ComputerAgent - INFO - LLM processing started with 28 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 28 messages\n", - "\u001b[92m15:35:18 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; 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provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:35:27 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:35:27 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 3%|█---------------------------------------| 223/7340 [9:07<291:14, 24.4 steps/min]\u001b[92m15:35:28 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m15:35:29 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m15:35:29 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 15:35:29,669 - agent.ComputerAgent - INFO - Computer: click({'button': 'left', 'x': 585, 'y': 449})\n", - "INFO:agent.ComputerAgent:Computer: click({'button': 'left', 'x': 585, 'y': 449})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:35:29 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 3%|█---------------------------------------| 223/7340 [9:09<292:18, 24.3 steps/min]\u001b[92m15:35:30 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 15:35:30,981 - agent.ComputerAgent - INFO - Computer: click({'x': 586, 'y': 134})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 586, 'y': 134})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:35:30 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:35:31 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m15:35:32 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m15:35:32 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 15:35:32,967 - agent.ComputerAgent - INFO - Computer: double_click({'x': 244, 'y': 154})\n", - "INFO:agent.ComputerAgent:Computer: double_click({'x': 244, 'y': 154})\n", - "\u001b[92m15:35:32 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 15:35:34,310 - agent.ComputerAgent - INFO - Agent: I enhanced the color vibrancy of your photo and exported it as edited_colorful.png to your Desktop.\n", - "\n", - "Task completed\n", - "INFO:agent.ComputerAgent:Agent: I enhanced the color vibrancy of your photo and exported it as edited_colorful.png to your Desktop.\n", - "\n", - "Task completed\n", - "2025-08-11 15:35:34,935 - agent.ComputerAgent - INFO - Total usage:\n", - " - completion_tokens: 288\n", - " - prompt_tokens: 10800\n", - " - total_tokens: 11088\n", - " - completion_tokens_details:\n", - " - accepted_prediction_tokens: 0\n", - " - audio_tokens: 0\n", - " - reasoning_tokens: 256\n", - " - rejected_prediction_tokens: 0\n", - " - prompt_tokens_details:\n", - " - audio_tokens: 0\n", - " - cached_tokens: 0\n", - " - response_cost: $0.0164\n", - "INFO:agent.ComputerAgent:Total usage:\n", - " - completion_tokens: 288\n", - " - prompt_tokens: 10800\n", - " - total_tokens: 11088\n", - " - completion_tokens_details:\n", - " - accepted_prediction_tokens: 0\n", - " - audio_tokens: 0\n", - " - reasoning_tokens: 256\n", - " - rejected_prediction_tokens: 0\n", - " - prompt_tokens_details:\n", - " - audio_tokens: 0\n", - " - cached_tokens: 0\n", - " - response_cost: $0.0164\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:35:35 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/69393c41-bcaa-4752-9a82-e3b105fae459/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 3%|█---------------------------------------| 225/7340 [9:14<292:25, 24.3 steps/min]2025-08-11 15:35:36,296 - agent.ComputerAgent - INFO - Computer: click({'x': 332, 'y': 105})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 332, 'y': 105})\n", - "2025-08-11 15:35:36,947 - agent.ComputerAgent - INFO - Computer: scroll({'scroll_y': 650, 'x': 261, 'y': 230})\n", - "INFO:agent.ComputerAgent:Computer: scroll({'scroll_y': 650, 'x': 261, 'y': 230})\n", - "\u001b[92m15:35:36 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:35:36 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m15:35:37 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 15:35:38,290 - agent.ComputerAgent - INFO - Computer: click({'x': 955, 'y': 130})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 955, 'y': 130})\n", - "2025-08-11 15:35:38,926 - agent.ComputerAgent - INFO - Computer: click({'x': 414, 'y': 75})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 414, 'y': 75})\n", - "\u001b[92m15:35:38 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; 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provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:35:41 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 3%|█---------------------------------------| 231/7340 [9:20<287:30, 24.7 steps/min]2025-08-11 15:35:41,893 - agent.ComputerAgent - INFO - Computer: click({'x': 183, 'y': 53})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 183, 'y': 53})\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 3%|█---------------------------------------| 232/7340 [9:21<286:44, 24.8 steps/min]\u001b[92m15:35:42 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 15:35:43,077 - agent.ComputerAgent - INFO - Computer: click({'x': 506, 'y': 190})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 506, 'y': 190})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:35:43 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/835128b8-2a29-46f4-853f-4d70bb46a9d6/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/a74f1790-a107-43c9-8389-0a50a5192c5f/invoke \"HTTP/1.1 200 OK\"\n", - " 3%|█---------------------------------------| 233/7340 [9:22<286:10, 24.8 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "No screenshot found, taking screenshot\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025-08-11 15:35:44,347 - agent.ComputerAgent - INFO - LLM processing started with 11 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 11 messages\n", - "\u001b[92m15:35:44 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m15:35:44 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 15:35:45,032 - agent.ComputerAgent - INFO - Computer: scroll({'scroll_y': 547, 'scroll_x': 0, 'x': 125, 'y': 629})\n", - "INFO:agent.ComputerAgent:Computer: scroll({'scroll_y': 547, 'scroll_x': 0, 'x': 125, 'y': 629})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 15:35:46,313 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ctrl+a'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ctrl+a'})\n", - " 3%|█---------------------------------------| 234/7340 [9:25<286:13, 24.8 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:35:46 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/8d197f4f-b7b0-4196-9681-135d7bc3a45b/invoke \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 15:35:47,613 - agent.ComputerAgent - INFO - LLM processing started with 32 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 32 messages\n", - "\u001b[92m15:35:47 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m15:35:47 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0b1cfd32-0cbc-48e7-890d-9ec0ac043035/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/e9d83ed4-d6d0-46f7-982b-98433769e30b/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/49f1eefe-9bc4-430c-a6c8-83675960a057/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/e7ac3560-cea1-4b97-a59c-4b3038bec6c7/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0a6ee00b-4e8c-4a3f-bac1-9baec4d920a2/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/e1e61614-8290-4d90-9feb-594d2a7199e8/invoke \"HTTP/1.1 200 OK\"\n", - " 3%|█---------------------------------------| 236/7340 [9:26<284:25, 25.0 steps/min]2025-08-11 15:35:48,312 - agent.ComputerAgent - INFO - Computer: click({'x': 877, 'y': 537})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 877, 'y': 537})\n", - "2025-08-11 15:35:49,338 - agent.ComputerAgent - INFO - LLM processing started with 20 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 20 messages\n", - "\u001b[92m15:35:49 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 15:35:50,012 - agent.ComputerAgent - INFO - LLM processing started with 28 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 28 messages\n", - "\u001b[92m15:35:50 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 3%|█---------------------------------------| 236/7340 [9:29<285:36, 24.9 steps/min]2025-08-11 15:35:50,692 - agent.ComputerAgent - INFO - LLM processing started with 30 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 30 messages\n", - "\u001b[92m15:35:50 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 15:35:51,345 - agent.ComputerAgent - INFO - LLM processing started with 30 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 30 messages\n", - "\u001b[92m15:35:51 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/a74f1790-a107-43c9-8389-0a50a5192c5f/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:35:52 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 3%|█---------------------------------------| 237/7340 [9:31<285:21, 24.9 steps/min]2025-08-11 15:35:52,714 - agent.ComputerAgent - INFO - LLM processing started with 30 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 30 messages\n", - "\u001b[92m15:35:52 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 15:35:53,753 - agent.ComputerAgent - INFO - LLM processing started with 13 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 13 messages\n", - "\u001b[92m15:35:53 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 15:35:54,426 - agent.ComputerAgent - INFO - LLM processing started with 13 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 13 messages\n", - "\u001b[92m15:35:54 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/982f8f16-b578-409f-8388-d8d5ee68ccee/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/77f486b6-dc2a-4a1d-bf54-fc05f9a8c3d7/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 3%|█---------------------------------------| 237/7340 [9:34<286:52, 24.8 steps/min]\u001b[92m15:35:55 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m15:35:55 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 15:35:55,767 - agent.ComputerAgent - INFO - LLM processing started with 8 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 8 messages\n", - "\u001b[92m15:35:55 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 15:35:56,466 - agent.ComputerAgent - INFO - Computer: click({'x': 501, 'y': 55})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 501, 'y': 55})\n", - "\u001b[92m15:35:56 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m15:35:57 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/cfefeec4-603f-4657-b0fe-7a641734693c/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 15:35:58,194 - agent.ComputerAgent - INFO - LLM processing started with 24 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 24 messages\n", - "\u001b[92m15:35:58 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 3%|█---------------------------------------| 238/7340 [9:37<287:10, 24.7 steps/min]2025-08-11 15:35:58,837 - agent.ComputerAgent - INFO - Computer: click({'x': 347, 'y': 186})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 347, 'y': 186})\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 15:35:59,467 - agent.ComputerAgent - INFO - LLM processing started with 18 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 18 messages\n", - "\u001b[92m15:35:59 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m15:35:59 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 3%|█---------------------------------------| 239/7340 [9:38<286:34, 24.8 steps/min]2025-08-11 15:36:00,161 - agent.ComputerAgent - INFO - Computer: click({'x': 309, 'y': 116})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 309, 'y': 116})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:36:00 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 3%|█---------------------------------------| 240/7340 [9:40<285:59, 24.8 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 15:36:01,470 - agent.ComputerAgent - INFO - LLM processing started with 30 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 30 messages\n", - "\u001b[92m15:36:01 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/a74f1790-a107-43c9-8389-0a50a5192c5f/invoke \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:36:01 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 15:36:02,165 - agent.ComputerAgent - INFO - LLM processing started with 15 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 15 messages\n", - "\u001b[92m15:36:02 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m15:36:02 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 3%|█---------------------------------------| 241/7340 [9:41<285:27, 24.9 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/835128b8-2a29-46f4-853f-4d70bb46a9d6/invoke \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:36:02 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 15:36:03,352 - agent.ComputerAgent - INFO - Computer: drag({'path': [{'x': 633, 'y': 320}, {'x': 422, 'y': 393}]})\n", - "INFO:agent.ComputerAgent:Computer: drag({'path': [{'x': 633, 'y': 320}, {'x': 422, 'y': 393}]})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - " 3%|█---------------------------------------| 249/7340 [9:42<276:30, 25.6 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/835128b8-2a29-46f4-853f-4d70bb46a9d6/close \"HTTP/1.1 200 OK\"\n", - " 3%|█---------------------------------------| 250/7340 [9:43<275:49, 25.7 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:36:05 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m15:36:05 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: GET https://orchestration.hud.so/hud-gym/api/v1/gyms/OSWorld-Ubuntu \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0a91cea7-3ffe-41c2-9405-1151904aee0c/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/edaeedb6-9993-4b6f-b226-19e2768a5736/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/a74f1790-a107-43c9-8389-0a50a5192c5f/invoke \"HTTP/1.1 200 OK\"\n", - " 3%|█---------------------------------------| 250/7340 [9:45<276:35, 25.6 steps/min]INFO:accelerate.utils.modeling:We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).\n", - "Loading checkpoint shards: 0%| | 0/4 [00:00 output.csv\n", - "- libreoffice --calc output.csv\n", - "\n", - "This converts both spreadsheets to CSV, concatenates their single columns into one file named output.csv, and opens it in LibreOffice Calc from the terminal.\n", - "\n", - "Task completed.\n", - "INFO:agent.ComputerAgent:Agent: Done via Terminal.\n", - "\n", - "Commands executed:\n", - "- cd ~/Desktop\n", - "- libreoffice --headless --convert-to csv file1.xlsx\n", - "- libreoffice --headless --convert-to csv file2.ods\n", - "- cat file1.csv file2.csv > output.csv\n", - "- libreoffice --calc output.csv\n", - "\n", - "This converts both spreadsheets to CSV, concatenates their single columns into one file named output.csv, and opens it in LibreOffice Calc from the terminal.\n", - "\n", - "Task completed.\n", - "2025-08-11 15:39:44,642 - agent.ComputerAgent - INFO - Total usage:\n", - " - completion_tokens: 679\n", - " - prompt_tokens: 8809\n", - " - total_tokens: 9488\n", - " - completion_tokens_details:\n", - " - accepted_prediction_tokens: 0\n", - " - audio_tokens: 0\n", - " - reasoning_tokens: 576\n", - " - rejected_prediction_tokens: 0\n", - " - prompt_tokens_details:\n", - " - audio_tokens: 0\n", - " - cached_tokens: 0\n", - " - response_cost: $0.0178\n", - "INFO:agent.ComputerAgent:Total usage:\n", - " - completion_tokens: 679\n", - " - prompt_tokens: 8809\n", - " - total_tokens: 9488\n", - " - completion_tokens_details:\n", - " - accepted_prediction_tokens: 0\n", - " - audio_tokens: 0\n", - " - reasoning_tokens: 576\n", - " - rejected_prediction_tokens: 0\n", - " - prompt_tokens_details:\n", - " - audio_tokens: 0\n", - " - cached_tokens: 0\n", - " - response_cost: $0.0178\n", - " 5%|█---------------------------------------| 359/7340 [13:23<260:31, 26.8 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m15:39:45 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 15:39:45,831 - agent.ComputerAgent - INFO - Computer: click({'x': 111, 'y': 213})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 111, 'y': 213})\n", - " 5%|█---------------------------------------| 359/7340 [13:25<260:54, 26.8 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0a91cea7-3ffe-41c2-9405-1151904aee0c/invoke \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:39:46 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 15:39:46,456 - agent.ComputerAgent - INFO - Computer: click({'x': 148, 'y': 739})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 148, 'y': 739})\n", - "\u001b[92m15:39:46 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 15:39:47,105 - agent.ComputerAgent - INFO - Computer: click({'x': 984, 'y': 68})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 984, 'y': 68})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:39:47 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m15:39:47 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/create_environment \"HTTP/1.1 200 OK\"\n", - " 5%|█---------------------------------------| 360/7340 [13:26<260:46, 26.8 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 15:39:48,477 - agent.ComputerAgent - INFO - Computer: scroll({'scroll_y': 607, 'scroll_x': 0, 'x': 91, 'y': 464})\n", - "INFO:agent.ComputerAgent:Computer: scroll({'scroll_y': 607, 'scroll_x': 0, 'x': 91, 'y': 464})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m15:39:49 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/create_environment \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m15:39:49 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0a91cea7-3ffe-41c2-9405-1151904aee0c/invoke \"HTTP/1.1 200 OK\"\n", - " 5%|█---------------------------------------| 362/7340 [13:28<259:43, 26.9 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 15:39:49,752 - agent.ComputerAgent - INFO - Computer: click({'x': 219, 'y': 53})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 219, 'y': 53})\n", - "\u001b[92m15:39:49 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 15:39:50,434 - agent.ComputerAgent - INFO - Computer: click({'x': 416, 'y': 74})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 416, 'y': 74})\n", - " 5%|██--------------------------------------| 374/7340 [13:30<251:38, 27.7 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0a91cea7-3ffe-41c2-9405-1151904aee0c/close \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:39:52 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/c8c54705-3689-4d05-b8e1-7a57903f3a21/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/63010886-f715-4208-aef0-b98c456e7e98/invoke \"HTTP/1.1 200 OK\"\n", - " 5%|██--------------------------------------| 374/7340 [13:32<252:04, 27.6 steps/min]INFO:accelerate.utils.modeling:We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).\n", - "Loading checkpoint shards: 0%| | 0/4 [00:00 Preferences > Input / Codecs > Record directory or filename and saved the setting.\n", - "\n", - "Task completed.\n", - "INFO:agent.ComputerAgent:Agent: I have changed VLC’s recordings folder to Desktop via Tools > Preferences > Input / Codecs > Record directory or filename and saved the setting.\n", - "\n", - "Task completed.\n", - "2025-08-11 15:53:48,419 - agent.ComputerAgent - INFO - Total usage:\n", - " - completion_tokens: 232\n", - " - prompt_tokens: 8729\n", - " - total_tokens: 8961\n", - " - completion_tokens_details:\n", - " - accepted_prediction_tokens: 0\n", - " - audio_tokens: 0\n", - " - reasoning_tokens: 192\n", - " - rejected_prediction_tokens: 0\n", - " - prompt_tokens_details:\n", - " - audio_tokens: 0\n", - " - cached_tokens: 0\n", - " - response_cost: $0.0132\n", - "INFO:agent.ComputerAgent:Total usage:\n", - " - completion_tokens: 232\n", - " - prompt_tokens: 8729\n", - " - total_tokens: 8961\n", - " - completion_tokens_details:\n", - " - accepted_prediction_tokens: 0\n", - " - audio_tokens: 0\n", - " - reasoning_tokens: 192\n", - " - rejected_prediction_tokens: 0\n", - " - prompt_tokens_details:\n", - " - audio_tokens: 0\n", - " - cached_tokens: 0\n", - " - response_cost: $0.0132\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/8a8f1594-3659-4132-9059-6fa366033df0/invoke \"HTTP/1.1 200 OK\"\n", - " 11%|████------------------------------------| 777/7340 [27:30<232:18, 28.3 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:53:49 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m15:53:49 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: GET https://orchestration.hud.so/hud-gym/api/v1/gyms/OSWorld-Ubuntu \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 11%|████------------------------------------| 779/7340 [27:31<231:49, 28.3 steps/min]INFO:accelerate.utils.modeling:We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).\n", - "Loading checkpoint shards: 0%| | 0/4 [00:00 Open File (or drag-and-drop the files into VLC).\n", - "\n", - "If you want me to, I can play the show in the browser via Google TV, or play any DRM‑free local media in VLC.\n", - "\n", - "Task completed.\n", - "INFO:agent.ComputerAgent:Agent: I can’t complete this as requested. Playing a Google Play Movies & TV purchase directly in VLC would require bypassing Google’s DRM (Widevine), which I won’t help with. Additionally, Stranger Things is a Netflix original and is typically not sold on Google Play, so it may not even be available for purchase there.\n", - "\n", - "Legal ways to watch:\n", - "- In a browser: Go to play.google.com/tv (or tv.google.com), sign in to your Google account, search for the title in your Library, and play it in the browser.\n", - "- On devices: Use the Google TV app on Android/iOS/Android TV or YouTube app where your Google Play purchases appear, and watch or cast to a TV.\n", - "- If you have DRM‑free video files you own, you can play them in VLC via Media > Open File (or drag-and-drop the files into VLC).\n", - "\n", - "If you want me to, I can play the show in the browser via Google TV, or play any DRM‑free local media in VLC.\n", - "\n", - "Task completed.\n", - "2025-08-11 16:05:33,041 - agent.ComputerAgent - INFO - Total usage:\n", - " - completion_tokens: 1371\n", - " - prompt_tokens: 8756\n", - " - total_tokens: 10127\n", - " - completion_tokens_details:\n", - " - accepted_prediction_tokens: 0\n", - " - audio_tokens: 0\n", - " - reasoning_tokens: 1152\n", - " - rejected_prediction_tokens: 0\n", - " - prompt_tokens_details:\n", - " - audio_tokens: 0\n", - " - cached_tokens: 2560\n", - " - response_cost: $0.0218\n", - "INFO:agent.ComputerAgent:Total usage:\n", - " - completion_tokens: 1371\n", - " - prompt_tokens: 8756\n", - " - total_tokens: 10127\n", - " - completion_tokens_details:\n", - " - accepted_prediction_tokens: 0\n", - " - audio_tokens: 0\n", - " - reasoning_tokens: 1152\n", - " - rejected_prediction_tokens: 0\n", - " - prompt_tokens_details:\n", - " - audio_tokens: 0\n", - " - cached_tokens: 2560\n", - " - response_cost: $0.0218\n", - " 16%|██████----------------------------------| 1143/7340 [39:14<212:46, 29.1 steps/min]2025-08-11 16:05:33,721 - agent.ComputerAgent - INFO - LLM processing started with 18 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 18 messages\n", - "\u001b[92m16:05:33 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:05:34,369 - agent.ComputerAgent - INFO - LLM processing started with 40 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 40 messages\n", - "\u001b[92m16:05:34 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 16%|██████----------------------------------| 1144/7340 [39:16<212:41, 29.1 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:05:35 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:05:36,085 - agent.ComputerAgent - INFO - LLM processing started with 6 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 6 messages\n", - "\u001b[92m16:05:36 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:05:37,424 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ctrl+='})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ctrl+='})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - " 16%|██████----------------------------------| 1144/7340 [39:19<213:01, 29.1 steps/min]\u001b[92m16:05:38 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:05:38 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m16:05:38 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:05:39,411 - agent.ComputerAgent - INFO - LLM processing started with 24 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 24 messages\n", - "\u001b[92m16:05:39 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:05:40,051 - agent.ComputerAgent - INFO - Computer: click({'x': 247, 'y': 103})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 247, 'y': 103})\n", - "\u001b[92m16:05:40 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 16%|██████----------------------------------| 1144/7340 [39:21<213:11, 29.1 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:05:40,712 - agent.ComputerAgent - INFO - LLM processing started with 22 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 22 messages\n", - "\u001b[92m16:05:40 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:05:41,401 - agent.ComputerAgent - INFO - Agent: Taking a screenshot to see the current computer screen.\n", - "INFO:agent.ComputerAgent:Agent: Taking a screenshot to see the current computer screen.\n", - "2025-08-11 16:05:41,402 - agent.ComputerAgent - INFO - Computer: move({'x': 512, 'y': 32})\n", - "INFO:agent.ComputerAgent:Computer: move({'x': 512, 'y': 32})\n", - "\u001b[92m16:05:41 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:05:42,101 - agent.ComputerAgent - INFO - LLM processing started with 28 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 28 messages\n", - "\u001b[92m16:05:42 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 16%|██████----------------------------------| 1145/7340 [39:23<213:09, 29.1 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:05:42,775 - agent.ComputerAgent - INFO - Computer: click({'x': 87, 'y': 165})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 87, 'y': 165})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/932fb6ee-8e77-41ca-8220-27e0c8783ced/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:05:43,825 - agent.ComputerAgent - INFO - LLM processing started with 24 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 24 messages\n", - "\u001b[92m16:05:43 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9618024b-01b2-4c48-8a72-2ec16bffcf41/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - " 16%|██████----------------------------------| 1146/7340 [39:26<213:09, 29.1 steps/min]\u001b[92m16:05:44 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:05:45,138 - agent.ComputerAgent - INFO - LLM processing started with 6 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 6 messages\n", - "\u001b[92m16:05:45 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m16:05:45 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:05:45,820 - agent.ComputerAgent - INFO - Computer: click({'x': 709, 'y': 305})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 709, 'y': 305})\n", - " 16%|██████----------------------------------| 1147/7340 [39:27<213:03, 29.1 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9618024b-01b2-4c48-8a72-2ec16bffcf41/invoke \"HTTP/1.1 200 OK\"\n", - " 16%|██████----------------------------------| 1157/7340 [39:28<210:57, 29.3 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9618024b-01b2-4c48-8a72-2ec16bffcf41/close \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/8bb6b36b-e7fb-4e80-916a-501fa7ad17f9/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:05:48,172 - agent.ComputerAgent - INFO - LLM processing started with 26 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 26 messages\n", - "\u001b[92m16:05:48 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:05:48 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/c3f7029e-7bbd-43fb-bea4-c66cc9ae685d/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 16%|██████----------------------------------| 1157/7340 [39:30<211:08, 29.3 steps/min]INFO:httpx:HTTP Request: GET https://orchestration.hud.so/hud-gym/api/v1/gyms/OSWorld-Ubuntu \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:05:49,481 - agent.ComputerAgent - INFO - LLM processing started with 6 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 6 messages\n", - "\u001b[92m16:05:49 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/7955abad-b178-4311-85d5-7f1dedbecbcc/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:05:50,142 - agent.ComputerAgent - INFO - LLM processing started with 20 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 20 messages\n", - "\u001b[92m16:05:50 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/ffbf23fa-9bd6-4b26-befa-cb45d31fc4fa/invoke \"HTTP/1.1 200 OK\"\n", - " 16%|██████----------------------------------| 1157/7340 [39:31<211:15, 29.3 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:accelerate.utils.modeling:We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).\n", - "Loading checkpoint shards: 0%| | 0/4 [00:00/dev/null || true'\"})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': \"bash -lc 'cd ~/Desktop && ls -1 *.png 2>/dev/null || true'\"})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m16:10:31 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 18%|███████---------------------------------| 1308/7340 [44:13<203:56, 29.6 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:10:31 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m16:10:32 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v1/environments/d8b3a739-de56-40fe-896f-831373c8ecee/reset \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:10:32,953 - agent.ComputerAgent - INFO - Computer: click({'x': 512, 'y': 384})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 512, 'y': 384})\n", - "\u001b[92m16:10:32 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 18%|███████---------------------------------| 1310/7340 [44:15<203:42, 29.6 steps/min]\u001b[92m16:10:33 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:10:34,242 - agent.ComputerAgent - INFO - Computer: double_click({'x': 984, 'y': 658})\n", - "INFO:agent.ComputerAgent:Computer: double_click({'x': 984, 'y': 658})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:10:34 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:10:34 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:10:35 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:10:36,222 - agent.ComputerAgent - INFO - Computer: click({'x': 15, 'y': 284})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 15, 'y': 284})\n", - "\u001b[92m16:10:36 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 18%|███████---------------------------------| 1311/7340 [44:17<203:43, 29.6 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:10:36,912 - agent.ComputerAgent - INFO - Computer: click({'x': 205, 'y': 735})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 205, 'y': 735})\n", - "\u001b[92m16:10:36 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:10:38,184 - agent.ComputerAgent - INFO - Computer: type({'text': 'sudo find . -type f -exec chmod 644 {} +'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'sudo find . -type f -exec chmod 644 {} +'})\n", - "2025-08-11 16:10:38,849 - agent.ComputerAgent - INFO - Computer: click({'x': 100, 'y': 390})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 100, 'y': 390})\n", - "\u001b[92m16:10:38 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - " 18%|███████---------------------------------| 1313/7340 [44:21<203:36, 29.6 steps/min]\u001b[92m16:10:39 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:10:40,187 - agent.ComputerAgent - INFO - Computer: click({'x': 359, 'y': 258})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 359, 'y': 258})\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:10:40 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:10:40 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 18%|███████---------------------------------| 1316/7340 [44:22<203:08, 29.7 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:10:41,570 - agent.ComputerAgent - INFO - Computer: click({'x': 131, 'y': 91, 'button': 'left'})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 131, 'y': 91, 'button': 'left'})\n", - "2025-08-11 16:10:42,221 - agent.ComputerAgent - INFO - LLM processing started with 36 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 36 messages\n", - "\u001b[92m16:10:42 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m16:10:42 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 18%|███████---------------------------------| 1317/7340 [44:24<203:03, 29.7 steps/min]2025-08-11 16:10:42,902 - agent.ComputerAgent - INFO - Computer: click({'x': 910, 'y': 233})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 910, 'y': 233})\n", - " 18%|███████---------------------------------| 1318/7340 [44:25<202:56, 29.7 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:10:45,238 - agent.ComputerAgent - INFO - Computer: type({'text': 'https://upload.wikimedia.org/wikipedia/en/thumb/1/1e/The_University_of_Hong_Kong_crest.svg/1200px-The_University_of_Hong_Kong_crest.svg.png'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'https://upload.wikimedia.org/wikipedia/en/thumb/1/1e/The_University_of_Hong_Kong_crest.svg/1200px-The_University_of_Hong_Kong_crest.svg.png'})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/a23ddde7-5509-407d-af64-ea09807c1af1/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/fa4f593f-4977-4dc4-9238-0a67602a0900/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/fafe8f9a-bc46-42ad-b3ca-7190a64ab552/invoke \"HTTP/1.1 200 OK\"\n", - " 18%|███████---------------------------------| 1319/7340 [44:26<202:54, 29.7 steps/min]2025-08-11 16:10:45,918 - agent.ComputerAgent - INFO - LLM processing started with 14 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 14 messages\n", - "\u001b[92m16:10:45 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/ca85c226-0c49-4084-b2bc-86bd540c8bce/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/79295f2f-2987-488c-b4b7-c968f71c7597/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b2656d0e-a6f4-4ecb-a099-cfe8471c4998/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:10:46,633 - agent.ComputerAgent - INFO - LLM processing started with 38 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 38 messages\n", - "\u001b[92m16:10:46 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 18%|███████---------------------------------| 1320/7340 [44:28<202:49, 29.7 steps/min]2025-08-11 16:10:47,821 - agent.ComputerAgent - INFO - LLM processing started with 32 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 32 messages\n", - "\u001b[92m16:10:47 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0cad7a26-2224-4401-9a66-57daca76d380/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/3b3e7fbd-8c02-45a6-bb3d-83c056398d3f/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/d8b3a739-de56-40fe-896f-831373c8ecee/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/80299c20-3bcf-48b1-a471-299a1eda0a00/invoke \"HTTP/1.1 200 OK\"\n", - " 18%|███████---------------------------------| 1320/7340 [44:29<202:55, 29.7 steps/min]2025-08-11 16:10:48,618 - agent.ComputerAgent - INFO - LLM processing started with 34 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 34 messages\n", - "\u001b[92m16:10:48 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/89cdf329-a61d-4d69-9c6c-5d0ea35677b6/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:10:49,365 - agent.ComputerAgent - INFO - LLM processing started with 22 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 22 messages\n", - "\u001b[92m16:10:49 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/c3f7029e-7bbd-43fb-bea4-c66cc9ae685d/invoke \"HTTP/1.1 200 OK\"\n", - " 18%|███████---------------------------------| 1320/7340 [44:31<203:01, 29.7 steps/min]2025-08-11 16:10:50,151 - agent.ComputerAgent - INFO - LLM processing started with 16 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 16 messages\n", - "\u001b[92m16:10:50 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:10:50 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:10:51,510 - agent.ComputerAgent - INFO - LLM processing started with 14 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 14 messages\n", - "\u001b[92m16:10:51 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 18%|███████---------------------------------| 1320/7340 [44:33<203:11, 29.6 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/ffbf23fa-9bd6-4b26-befa-cb45d31fc4fa/invoke \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:10:52,195 - agent.ComputerAgent - INFO - LLM processing started with 10 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 10 messages\n", - "\u001b[92m16:10:52 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m16:10:52 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/932fb6ee-8e77-41ca-8220-27e0c8783ced/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:10:52 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:10:52,855 - agent.ComputerAgent - INFO - LLM processing started with 8 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 8 messages\n", - "\u001b[92m16:10:52 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m16:10:52 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 18%|███████---------------------------------| 1320/7340 [44:34<203:17, 29.6 steps/min]2025-08-11 16:10:53,549 - agent.ComputerAgent - INFO - LLM processing started with 24 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 24 messages\n", - "\u001b[92m16:10:53 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:10:54,253 - agent.ComputerAgent - INFO - Computer: drag({'path': [{'x': 420, 'y': 162}, {'x': 170, 'y': 133}]})\n", - "INFO:agent.ComputerAgent:Computer: drag({'path': [{'x': 420, 'y': 162}, {'x': 170, 'y': 133}]})\n", - " 18%|███████---------------------------------| 1320/7340 [44:36<203:24, 29.6 steps/min]2025-08-11 16:10:55,291 - agent.ComputerAgent - INFO - LLM processing started with 1 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 1 messages\n", - "\u001b[92m16:10:55 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 18%|███████---------------------------------| 1321/7340 [44:37<203:17, 29.6 steps/min]2025-08-11 16:10:55,940 - agent.ComputerAgent - INFO - LLM processing started with 18 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 18 messages\n", - "\u001b[92m16:10:55 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:10:56,604 - agent.ComputerAgent - INFO - LLM processing started with 14 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 14 messages\n", - "\u001b[92m16:10:56 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 18%|███████---------------------------------| 1321/7340 [44:38<203:23, 29.6 steps/min]2025-08-11 16:10:57,291 - agent.ComputerAgent - INFO - LLM processing started with 24 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 24 messages\n", - "\u001b[92m16:10:57 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 18%|███████---------------------------------| 1321/7340 [44:40<203:32, 29.6 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:10:58 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m16:10:59 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:11:00,151 - agent.ComputerAgent - INFO - Computer: click({'x': 122, 'y': 219})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 122, 'y': 219})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - " 18%|███████---------------------------------| 1321/7340 [44:42<203:43, 29.5 steps/min]\u001b[92m16:11:00 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m16:11:01 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:11:02,396 - agent.ComputerAgent - INFO - Computer: click({'x': 16, 'y': 429})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 16, 'y': 429})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/e8a299f4-d946-4970-b9a4-2503717de8ce/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:11:03,765 - agent.ComputerAgent - INFO - Computer: wait({})\n", - "INFO:agent.ComputerAgent:Computer: wait({})\n", - " 18%|███████---------------------------------| 1322/7340 [44:45<203:44, 29.5 steps/min]2025-08-11 16:11:04,441 - agent.ComputerAgent - INFO - LLM processing started with 18 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 18 messages\n", - "\u001b[92m16:11:04 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:11:05,798 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'enter'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'enter'})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/cc2e38be-6768-4928-bfe5-d7f31cb68b24/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:11:06 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 18%|███████---------------------------------| 1324/7340 [44:48<203:37, 29.5 steps/min]\u001b[92m16:11:07 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:11:07,755 - agent.ComputerAgent - INFO - LLM processing started with 36 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 36 messages\n", - "\u001b[92m16:11:07 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m16:11:07 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:11:09,113 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ctrl+a'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ctrl+a'})\n", - "2025-08-11 16:11:09,745 - agent.ComputerAgent - INFO - Computer: click({'x': 434, 'y': 418})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 434, 'y': 418})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:11:09 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:11:10 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 18%|███████---------------------------------| 1325/7340 [44:52<203:44, 29.5 steps/min]\u001b[92m16:11:11 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:11:12,504 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'enter'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'enter'})\n", - "2025-08-11 16:11:13,143 - agent.ComputerAgent - INFO - LLM processing started with 24 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 24 messages\n", - "\u001b[92m16:11:13 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:11:13,809 - agent.ComputerAgent - INFO - Computer: click({'x': 248, 'y': 291})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 248, 'y': 291})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/ca85c226-0c49-4084-b2bc-86bd540c8bce/invoke \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m16:11:14 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/fafe8f9a-bc46-42ad-b3ca-7190a64ab552/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/39724bde-60dd-471d-ba25-1ac9b1405c76/invoke \"HTTP/1.1 200 OK\"\n", - " 18%|███████---------------------------------| 1326/7340 [44:56<203:48, 29.5 steps/min]\u001b[92m16:11:14 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:11:15,137 - agent.ComputerAgent - INFO - Computer: click({'x': 293, 'y': 185})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 293, 'y': 185})\n", - "\u001b[92m16:11:15 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:11:15,821 - agent.ComputerAgent - INFO - LLM processing started with 16 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 16 messages\n", - "\u001b[92m16:11:15 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:11:16,500 - agent.ComputerAgent - INFO - Agent: Taking a screenshot to see the current computer screen.\n", - "INFO:agent.ComputerAgent:Agent: Taking a screenshot to see the current computer screen.\n", - "2025-08-11 16:11:16,501 - agent.ComputerAgent - INFO - Computer: click({'x': 650, 'y': 362})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 650, 'y': 362})\n", - "\u001b[92m16:11:16 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 18%|███████---------------------------------| 1328/7340 [44:58<203:35, 29.5 steps/min]2025-08-11 16:11:17,188 - agent.ComputerAgent - INFO - Computer: double_click({'x': 247, 'y': 153})\n", - "INFO:agent.ComputerAgent:Computer: double_click({'x': 247, 'y': 153})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:11:17 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 18%|███████---------------------------------| 1330/7340 [44:59<203:19, 29.6 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:11:18,491 - agent.ComputerAgent - INFO - LLM processing started with 38 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 38 messages\n", - "\u001b[92m16:11:18 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m16:11:18 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:11:19,525 - agent.ComputerAgent - INFO - Computer: click({'x': 867, 'y': 233})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 867, 'y': 233})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - " 18%|███████---------------------------------| 1331/7340 [45:01<203:18, 29.6 steps/min]\u001b[92m16:11:20 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:11:21,243 - agent.ComputerAgent - INFO - LLM processing started with 12 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 12 messages\n", - "\u001b[92m16:11:21 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 18%|███████---------------------------------| 1332/7340 [45:02<203:11, 29.6 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m16:11:21 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:11:21,948 - agent.ComputerAgent - INFO - Computer: click({'x': 573, 'y': 249})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 573, 'y': 249})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:11:22 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 18%|███████---------------------------------| 1332/7340 [45:04<203:18, 29.6 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/932fb6ee-8e77-41ca-8220-27e0c8783ced/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/d8b3a739-de56-40fe-896f-831373c8ecee/invoke \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:11:23 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:11:23,815 - agent.ComputerAgent - INFO - Computer: click({'x': 254, 'y': 736})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 254, 'y': 736})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/89cdf329-a61d-4d69-9c6c-5d0ea35677b6/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/3b3e7fbd-8c02-45a6-bb3d-83c056398d3f/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/80299c20-3bcf-48b1-a471-299a1eda0a00/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b2656d0e-a6f4-4ecb-a099-cfe8471c4998/invoke \"HTTP/1.1 200 OK\"\n", - " 18%|███████---------------------------------| 1333/7340 [45:05<203:12, 29.6 steps/min]2025-08-11 16:11:24,492 - agent.ComputerAgent - INFO - LLM processing started with 16 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 16 messages\n", - "\u001b[92m16:11:24 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:11:25,193 - agent.ComputerAgent - INFO - LLM processing started with 18 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 18 messages\n", - "\u001b[92m16:11:25 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 18%|███████---------------------------------| 1334/7340 [45:06<203:07, 29.6 steps/min]2025-08-11 16:11:26,204 - agent.ComputerAgent - INFO - LLM processing started with 20 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 20 messages\n", - "\u001b[92m16:11:26 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 18%|███████---------------------------------| 1334/7340 [45:08<203:12, 29.6 steps/min]2025-08-11 16:11:27,268 - agent.ComputerAgent - INFO - LLM processing started with 6 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 6 messages\n", - "\u001b[92m16:11:27 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/c3f7029e-7bbd-43fb-bea4-c66cc9ae685d/invoke \"HTTP/1.1 200 OK\"\n", - " 18%|███████---------------------------------| 1334/7340 [45:09<203:16, 29.5 steps/min]2025-08-11 16:11:27,895 - agent.ComputerAgent - INFO - LLM processing started with 16 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 16 messages\n", - "\u001b[92m16:11:27 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:11:29,210 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ctrl+a'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ctrl+a'})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/a23ddde7-5509-407d-af64-ea09807c1af1/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:11:30 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 18%|███████---------------------------------| 1334/7340 [45:11<203:29, 29.5 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:11:30,853 - agent.ComputerAgent - INFO - LLM processing started with 40 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 40 messages\n", - "\u001b[92m16:11:30 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m16:11:30 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:11:31,535 - agent.ComputerAgent - INFO - Computer: scroll({'scroll_x': 0, 'scroll_y': 685, 'x': 633, 'y': 405})\n", - "INFO:agent.ComputerAgent:Computer: scroll({'scroll_x': 0, 'scroll_y': 685, 'x': 633, 'y': 405})\n", - " 18%|███████---------------------------------| 1334/7340 [45:13<203:35, 29.5 steps/min]2025-08-11 16:11:32,197 - agent.ComputerAgent - INFO - LLM processing started with 26 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 26 messages\n", - "\u001b[92m16:11:32 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:11:32 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 18%|███████---------------------------------| 1335/7340 [45:14<203:31, 29.5 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:11:33,951 - agent.ComputerAgent - INFO - LLM processing started with 10 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 10 messages\n", - "\u001b[92m16:11:33 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m16:11:33 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:11:35,279 - agent.ComputerAgent - INFO - Computer: type({'text': \"bash -lc 'cd ~/Desktop && ls -1 *.png'\"})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': \"bash -lc 'cd ~/Desktop && ls -1 *.png'\"})\n", - "2025-08-11 16:11:35,955 - agent.ComputerAgent - INFO - Computer: double_click({'x': 49, 'y': 431})\n", - "INFO:agent.ComputerAgent:Computer: double_click({'x': 49, 'y': 431})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:11:36 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/ffbf23fa-9bd6-4b26-befa-cb45d31fc4fa/invoke \"HTTP/1.1 200 OK\"\n", - " 18%|███████---------------------------------| 1335/7340 [45:18<203:47, 29.5 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:11:37,317 - agent.ComputerAgent - INFO - LLM processing started with 34 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 34 messages\n", - "\u001b[92m16:11:37 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m16:11:37 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:11:37,999 - agent.ComputerAgent - INFO - Computer: click({'x': 122, 'y': 176})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 122, 'y': 176})\n", - " 18%|███████---------------------------------| 1337/7340 [45:19<203:31, 29.5 steps/min]2025-08-11 16:11:38,642 - agent.ComputerAgent - INFO - LLM processing started with 26 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 26 messages\n", - "\u001b[92m16:11:38 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m16:11:39 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 18%|███████---------------------------------| 1338/7340 [45:21<203:26, 29.5 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m16:11:39 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:11:40,487 - agent.ComputerAgent - INFO - Computer: click({'x': 397, 'y': 624})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 397, 'y': 624})\n", - " 18%|███████---------------------------------| 1339/7340 [45:23<203:24, 29.5 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0cad7a26-2224-4401-9a66-57daca76d380/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/79295f2f-2987-488c-b4b7-c968f71c7597/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:11:42,633 - agent.ComputerAgent - INFO - LLM processing started with 26 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 26 messages\n", - "\u001b[92m16:11:42 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/ca85c226-0c49-4084-b2bc-86bd540c8bce/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:11:43 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:11:43 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 18%|███████---------------------------------| 1339/7340 [45:25<203:35, 29.5 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m16:11:44 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:11:44 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:11:45,987 - agent.ComputerAgent - INFO - Computer: type({'text': 'find . -type f -perm -not -0644 -ls | head -n 20'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'find . -type f -perm -not -0644 -ls | head -n 20'})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/cc2e38be-6768-4928-bfe5-d7f31cb68b24/invoke \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:11:46,670 - agent.ComputerAgent - INFO - Computer: click({'x': 249, 'y': 339})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 249, 'y': 339})\n", - "\u001b[92m16:11:46 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 18%|███████---------------------------------| 1339/7340 [45:28<203:47, 29.4 steps/min]\u001b[92m16:11:46 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:11:47,338 - agent.ComputerAgent - INFO - Computer: click({'x': 982, 'y': 741})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 982, 'y': 741})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:11:48 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/d8b3a739-de56-40fe-896f-831373c8ecee/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:11:48,711 - agent.ComputerAgent - INFO - Computer: click({'x': 1000, 'y': 739})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 1000, 'y': 739})\n", - " 18%|███████---------------------------------| 1341/7340 [45:30<203:34, 29.5 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:11:49,375 - agent.ComputerAgent - INFO - LLM processing started with 38 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 38 messages\n", - "\u001b[92m16:11:49 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m16:11:49 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:11:50,053 - agent.ComputerAgent - INFO - Computer: click({'x': 553, 'y': 275})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 553, 'y': 275})\n", - " 18%|███████---------------------------------| 1343/7340 [45:31<203:18, 29.5 steps/min]2025-08-11 16:11:50,708 - agent.ComputerAgent - INFO - LLM processing started with 36 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 36 messages\n", - "\u001b[92m16:11:50 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:11:51 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 18%|███████---------------------------------| 1344/7340 [45:33<203:14, 29.5 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:11:52,081 - agent.ComputerAgent - INFO - LLM processing started with 14 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 14 messages\n", - "\u001b[92m16:11:52 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m16:11:52 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:11:52,743 - agent.ComputerAgent - INFO - LLM processing started with 8 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 8 messages\n", - "\u001b[92m16:11:52 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:11:54,178 - agent.ComputerAgent - INFO - Computer: click({'x': 49, 'y': 53})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 49, 'y': 53})\n", - " 18%|███████---------------------------------| 1344/7340 [45:35<203:25, 29.5 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:11:55,482 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ctrl+shift+v'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ctrl+shift+v'})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/80299c20-3bcf-48b1-a471-299a1eda0a00/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/3b3e7fbd-8c02-45a6-bb3d-83c056398d3f/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:11:56 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/932fb6ee-8e77-41ca-8220-27e0c8783ced/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 18%|███████---------------------------------| 1345/7340 [45:37<203:23, 29.5 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:11:56,832 - agent.ComputerAgent - INFO - LLM processing started with 18 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 18 messages\n", - "\u001b[92m16:11:56 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m16:11:56 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:11:57,492 - agent.ComputerAgent - INFO - LLM processing started with 20 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 20 messages\n", - "\u001b[92m16:11:57 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:11:58,155 - agent.ComputerAgent - INFO - Computer: click({'x': 496, 'y': 256})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 496, 'y': 256})\n", - " 18%|███████---------------------------------| 1345/7340 [45:39<203:32, 29.5 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:11:59,512 - agent.ComputerAgent - INFO - Computer: click({'x': 188, 'y': 54})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 188, 'y': 54})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/89cdf329-a61d-4d69-9c6c-5d0ea35677b6/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:12:00,870 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ctrl+f'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ctrl+f'})\n", - " 18%|███████---------------------------------| 1346/7340 [45:42<203:33, 29.4 steps/min]2025-08-11 16:12:01,532 - agent.ComputerAgent - INFO - LLM processing started with 18 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 18 messages\n", - "\u001b[92m16:12:01 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:12:02,223 - agent.ComputerAgent - INFO - LLM processing started with 16 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 16 messages\n", - "\u001b[92m16:12:02 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/e8a299f4-d946-4970-b9a4-2503717de8ce/invoke \"HTTP/1.1 200 OK\"\n", - " 18%|███████---------------------------------| 1347/7340 [45:44<203:28, 29.5 steps/min]2025-08-11 16:12:02,913 - agent.ComputerAgent - INFO - LLM processing started with 22 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 22 messages\n", - "\u001b[92m16:12:02 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:12:03,573 - agent.ComputerAgent - INFO - LLM processing started with 20 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 20 messages\n", - "\u001b[92m16:12:03 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 18%|███████---------------------------------| 1347/7340 [45:45<203:34, 29.4 steps/min]2025-08-11 16:12:04,252 - agent.ComputerAgent - INFO - LLM processing started with 18 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 18 messages\n", - "\u001b[92m16:12:04 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 18%|███████---------------------------------| 1347/7340 [45:46<203:38, 29.4 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:12:05 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 18%|███████---------------------------------| 1347/7340 [45:47<203:43, 29.4 steps/min]\u001b[92m16:12:06 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:12:06,650 - agent.ComputerAgent - INFO - Computer: scroll({'scroll_x': 0, 'scroll_y': 677, 'x': 633, 'y': 362})\n", - "INFO:agent.ComputerAgent:Computer: scroll({'scroll_x': 0, 'scroll_y': 677, 'x': 633, 'y': 362})\n", - " 18%|███████---------------------------------| 1347/7340 [45:48<203:47, 29.4 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:12:07 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b2656d0e-a6f4-4ecb-a099-cfe8471c4998/invoke \"HTTP/1.1 200 OK\"\n", - " 18%|███████---------------------------------| 1348/7340 [45:49<203:41, 29.4 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/fa4f593f-4977-4dc4-9238-0a67602a0900/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:12:08 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:12:08 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:12:09 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/c3f7029e-7bbd-43fb-bea4-c66cc9ae685d/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:12:09,759 - agent.ComputerAgent - INFO - Computer: click({'x': 296, 'y': 736})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 296, 'y': 736})\n", - " 18%|███████---------------------------------| 1348/7340 [45:51<203:50, 29.4 steps/min]\u001b[92m16:12:09 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:12:10,408 - agent.ComputerAgent - INFO - Computer: click({'x': 234, 'y': 97})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 234, 'y': 97})\n", - "\u001b[92m16:12:10 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:12:11,099 - agent.ComputerAgent - INFO - Computer: click({'x': 332, 'y': 162})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 332, 'y': 162})\n", - " 18%|███████---------------------------------| 1349/7340 [45:52<203:45, 29.4 steps/min]2025-08-11 16:12:11,772 - agent.ComputerAgent - INFO - LLM processing started with 42 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 42 messages\n", - "\u001b[92m16:12:11 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:12:12,423 - agent.ComputerAgent - INFO - LLM processing started with 28 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 28 messages\n", - "\u001b[92m16:12:12 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 18%|███████---------------------------------| 1351/7340 [45:54<203:29, 29.4 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0cad7a26-2224-4401-9a66-57daca76d380/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:12:13,589 - agent.ComputerAgent - INFO - LLM processing started with 12 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 12 messages\n", - "\u001b[92m16:12:13 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:12:14 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 18%|███████---------------------------------| 1351/7340 [45:56<203:37, 29.4 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:12:14 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:12:15 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m16:12:16 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 18%|███████---------------------------------| 1351/7340 [45:58<203:46, 29.4 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:12:16 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:12:16,944 - agent.ComputerAgent - INFO - LLM processing started with 28 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 28 messages\n", - "\u001b[92m16:12:16 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:12:17,601 - agent.ComputerAgent - INFO - Computer: click({'x': 684, 'y': 41})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 684, 'y': 41})\n", - "\u001b[92m16:12:17 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:12:17 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:12:17 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 18%|███████---------------------------------| 1351/7340 [46:00<203:55, 29.4 steps/min]\u001b[92m16:12:18 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:12:18,978 - agent.ComputerAgent - INFO - Computer: click({'x': 122, 'y': 213})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 122, 'y': 213})\n", - "2025-08-11 16:12:19,629 - agent.ComputerAgent - INFO - Computer: click({'x': 244, 'y': 149})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 244, 'y': 149})\n", - "2025-08-11 16:12:20,317 - agent.ComputerAgent - INFO - Computer: click({'x': 397, 'y': 564})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 397, 'y': 564})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/80299c20-3bcf-48b1-a471-299a1eda0a00/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/fafe8f9a-bc46-42ad-b3ca-7190a64ab552/invoke \"HTTP/1.1 200 OK\"\n", - " 18%|███████---------------------------------| 1352/7340 [46:02<203:53, 29.4 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:12:20,972 - agent.ComputerAgent - INFO - LLM processing started with 20 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 20 messages\n", - "\u001b[92m16:12:20 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m16:12:20 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/ffbf23fa-9bd6-4b26-befa-cb45d31fc4fa/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:12:21,645 - agent.ComputerAgent - INFO - Computer: click({'x': 249, 'y': 339})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 249, 'y': 339})\n", - "2025-08-11 16:12:22,272 - agent.ComputerAgent - INFO - LLM processing started with 22 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 22 messages\n", - "\u001b[92m16:12:22 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 18%|███████---------------------------------| 1355/7340 [46:04<203:28, 29.4 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:12:22 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 18%|███████---------------------------------| 1356/7340 [46:05<203:22, 29.4 steps/min]2025-08-11 16:12:24,123 - agent.ComputerAgent - INFO - LLM processing started with 28 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 28 messages\n", - "\u001b[92m16:12:24 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m16:12:24 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:12:24,852 - agent.ComputerAgent - INFO - Computer: click({'x': 623, 'y': 359})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 623, 'y': 359})\n", - " 18%|███████---------------------------------| 1356/7340 [46:06<203:28, 29.4 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:12:26,220 - agent.ComputerAgent - INFO - Computer: type({'text': 'source=~/Desktop/dir1; target=~/Desktop/dir3; if [ -d \"$source\" ] && [ -d \"$target\" ]; then rsync -a -f\"+ */\" -f\"- *\" \"$source\" \"$target\"; echo \"Copied directory hierarchy.\"; else echo \"Source or target directory not found\"; fi'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'source=~/Desktop/dir1; target=~/Desktop/dir3; if [ -d \"$source\" ] && [ -d \"$target\" ]; then rsync -a -f\"+ */\" -f\"- *\" \"$source\" \"$target\"; echo \"Copied directory hierarchy.\"; else echo \"Source or target directory not found\"; fi'})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:12:26 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 18%|███████---------------------------------| 1357/7340 [46:08<203:27, 29.4 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m16:12:27 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:12:28,062 - agent.ComputerAgent - INFO - Computer: click({'x': 72, 'y': 90})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 72, 'y': 90})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:12:28 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:12:30,106 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'enter'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'enter'})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/932fb6ee-8e77-41ca-8220-27e0c8783ced/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/cc2e38be-6768-4928-bfe5-d7f31cb68b24/invoke \"HTTP/1.1 200 OK\"\n", - " 19%|███████---------------------------------| 1358/7340 [46:11<203:29, 29.4 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/89cdf329-a61d-4d69-9c6c-5d0ea35677b6/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/d8b3a739-de56-40fe-896f-831373c8ecee/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:12:31,450 - agent.ComputerAgent - INFO - Computer: scroll({'scroll_y': 676, 'scroll_x': 0})\n", - "INFO:agent.ComputerAgent:Computer: scroll({'scroll_y': 676, 'scroll_x': 0})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/ca85c226-0c49-4084-b2bc-86bd540c8bce/invoke \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:12:31 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:12:32 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 19%|███████---------------------------------| 1361/7340 [46:13<203:05, 29.4 steps/min]2025-08-11 16:12:32,793 - agent.ComputerAgent - INFO - Computer: click({'x': 553, 'y': 280})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 553, 'y': 280})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m16:12:33 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:12:34,134 - agent.ComputerAgent - INFO - LLM processing started with 20 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 20 messages\n", - "\u001b[92m16:12:34 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/a23ddde7-5509-407d-af64-ea09807c1af1/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m16:12:34 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/39724bde-60dd-471d-ba25-1ac9b1405c76/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 19%|███████---------------------------------| 1361/7340 [46:15<203:14, 29.4 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:12:35,495 - agent.ComputerAgent - INFO - Computer: type({'text': \"bash -lc 'cd ~/Desktop && ls -1'}\"})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': \"bash -lc 'cd ~/Desktop && ls -1'}\"})\n", - "2025-08-11 16:12:36,154 - agent.ComputerAgent - INFO - Computer: click({'x': 263, 'y': 318})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 263, 'y': 318})\n", - "2025-08-11 16:12:36,816 - agent.ComputerAgent - INFO - LLM processing started with 40 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 40 messages\n", - "\u001b[92m16:12:36 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m16:12:36 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 19%|███████---------------------------------| 1362/7340 [46:18<203:15, 29.4 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:12:37,525 - agent.ComputerAgent - INFO - Computer: click({'x': 426, 'y': 257})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 426, 'y': 257})\n", - "2025-08-11 16:12:38,193 - agent.ComputerAgent - INFO - LLM processing started with 24 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 24 messages\n", - "\u001b[92m16:12:38 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - " 19%|███████---------------------------------| 1364/7340 [46:20<203:02, 29.4 steps/min]\u001b[92m16:12:38 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0cad7a26-2224-4401-9a66-57daca76d380/invoke \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "No screenshot found, taking screenshot\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025-08-11 16:12:39,517 - agent.ComputerAgent - INFO - LLM processing started with 31 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 31 messages\n", - "\u001b[92m16:12:39 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m16:12:39 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:12:40,192 - agent.ComputerAgent - INFO - Computer: click({'x': 526, 'y': 232})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 526, 'y': 232})\n", - "2025-08-11 16:12:40,843 - agent.ComputerAgent - INFO - LLM processing started with 10 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 10 messages\n", - "\u001b[92m16:12:40 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - " 19%|███████---------------------------------| 1365/7340 [46:23<203:03, 29.4 steps/min]\u001b[92m16:12:41 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:12:42,204 - agent.ComputerAgent - INFO - LLM processing started with 18 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 18 messages\n", - "\u001b[92m16:12:42 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m16:12:42 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:12:43,551 - agent.ComputerAgent - INFO - Computer: click({'x': 835, 'y': 36})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 835, 'y': 36})\n", - "2025-08-11 16:12:44,241 - agent.ComputerAgent - INFO - LLM processing started with 36 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 36 messages\n", - "\u001b[92m16:12:44 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:12:44,933 - agent.ComputerAgent - INFO - Computer: click({'x': 433, 'y': 635})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 433, 'y': 635})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b2656d0e-a6f4-4ecb-a099-cfe8471c4998/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/3b3e7fbd-8c02-45a6-bb3d-83c056398d3f/invoke \"HTTP/1.1 200 OK\"\n", - " 19%|███████---------------------------------| 1367/7340 [46:26<202:56, 29.4 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/e8a299f4-d946-4970-b9a4-2503717de8ce/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/79295f2f-2987-488c-b4b7-c968f71c7597/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:12:45,580 - agent.ComputerAgent - INFO - LLM processing started with 40 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 40 messages\n", - "\u001b[92m16:12:45 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:12:46,215 - agent.ComputerAgent - INFO - LLM processing started with 22 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 22 messages\n", - "\u001b[92m16:12:46 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 19%|███████---------------------------------| 1369/7340 [46:28<202:40, 29.5 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0cad7a26-2224-4401-9a66-57daca76d380/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:12:46,933 - agent.ComputerAgent - INFO - LLM processing started with 38 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 38 messages\n", - "\u001b[92m16:12:47 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:12:47,614 - agent.ComputerAgent - INFO - LLM processing started with 33 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 33 messages\n", - "\u001b[92m16:12:47 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/80299c20-3bcf-48b1-a471-299a1eda0a00/invoke \"HTTP/1.1 200 OK\"\n", - " 19%|███████---------------------------------| 1369/7340 [46:29<202:46, 29.4 steps/min]2025-08-11 16:12:48,293 - agent.ComputerAgent - INFO - LLM processing started with 24 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 24 messages\n", - "\u001b[92m16:12:48 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:12:48,973 - agent.ComputerAgent - INFO - LLM processing started with 20 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 20 messages\n", - "\u001b[92m16:12:49 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 19%|███████---------------------------------| 1369/7340 [46:30<202:52, 29.4 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:12:50,174 - agent.ComputerAgent - INFO - LLM processing started with 14 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 14 messages\n", - "\u001b[92m16:12:50 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/fafe8f9a-bc46-42ad-b3ca-7190a64ab552/invoke \"HTTP/1.1 200 OK\"\n", - " 19%|███████---------------------------------| 1369/7340 [46:31<202:57, 29.4 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/c3f7029e-7bbd-43fb-bea4-c66cc9ae685d/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:12:51,233 - agent.ComputerAgent - INFO - LLM processing started with 22 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 22 messages\n", - "\u001b[92m16:12:51 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/89cdf329-a61d-4d69-9c6c-5d0ea35677b6/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:12:52,561 - agent.ComputerAgent - INFO - Computer: type({'text': 'file1'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'file1'})\n", - " 19%|███████---------------------------------| 1369/7340 [46:34<203:07, 29.4 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:12:53 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/fa4f593f-4977-4dc4-9238-0a67602a0900/invoke \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:12:53,913 - agent.ComputerAgent - INFO - LLM processing started with 22 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 22 messages\n", - "\u001b[92m16:12:53 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:12:55,675 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ctrl+,'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ctrl+,'})\n", - " 19%|███████---------------------------------| 1371/7340 [46:37<202:59, 29.4 steps/min]\u001b[92m16:12:55 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:12:56,375 - agent.ComputerAgent - INFO - Computer: click({'x': 304, 'y': 735})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 304, 'y': 735})\n", - "2025-08-11 16:12:57,004 - agent.ComputerAgent - INFO - LLM processing started with 12 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 12 messages\n", - "\u001b[92m16:12:57 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 19%|███████---------------------------------| 1371/7340 [46:38<203:05, 29.4 steps/min]2025-08-11 16:12:57,682 - agent.ComputerAgent - INFO - LLM processing started with 30 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 30 messages\n", - "\u001b[92m16:12:57 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 19%|███████---------------------------------| 1372/7340 [46:39<202:58, 29.4 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:13:00,048 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ctrl+v'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ctrl+v'})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0cad7a26-2224-4401-9a66-57daca76d380/invoke \"HTTP/1.1 200 OK\"\n", - " 19%|███████---------------------------------| 1372/7340 [46:41<203:07, 29.4 steps/min]2025-08-11 16:13:00,705 - agent.ComputerAgent - INFO - LLM processing started with 35 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 35 messages\n", - "\u001b[92m16:13:00 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:13:01,364 - agent.ComputerAgent - INFO - LLM processing started with 24 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 24 messages\n", - "\u001b[92m16:13:01 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 19%|███████---------------------------------| 1372/7340 [46:45<203:22, 29.3 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/ca85c226-0c49-4084-b2bc-86bd540c8bce/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/fa4f593f-4977-4dc4-9238-0a67602a0900/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:13:04 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 19%|███████---------------------------------| 1374/7340 [46:46<203:05, 29.4 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:13:05,255 - agent.ComputerAgent - INFO - LLM processing started with 20 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 20 messages\n", - "\u001b[92m16:13:05 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m16:13:05 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/fa4f593f-4977-4dc4-9238-0a67602a0900/close \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:13:06,551 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'enter'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'enter'})\n", - "2025-08-11 16:13:07,203 - agent.ComputerAgent - INFO - Computer: click({'x': 232, 'y': 97})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 232, 'y': 97})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/ffbf23fa-9bd6-4b26-befa-cb45d31fc4fa/invoke \"HTTP/1.1 200 OK\"\n", - " 19%|███████---------------------------------| 1376/7340 [46:49<202:59, 29.4 steps/min]2025-08-11 16:13:08,546 - agent.ComputerAgent - INFO - LLM processing started with 30 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 30 messages\n", - "\u001b[92m16:13:08 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:13:09 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: GET https://orchestration.hud.so/hud-gym/api/v1/gyms/OSWorld-Ubuntu \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0cad7a26-2224-4401-9a66-57daca76d380/invoke \"HTTP/1.1 200 OK\"\n", - " 19%|███████---------------------------------| 1376/7340 [46:51<203:04, 29.4 steps/min]2025-08-11 16:13:09,882 - agent.ComputerAgent - INFO - LLM processing started with 37 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 37 messages\n", - "\u001b[92m16:13:09 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 19%|███████---------------------------------| 1376/7340 [46:52<203:08, 29.4 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:13:11 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:accelerate.utils.modeling:We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).\n", - "Loading checkpoint shards: 0%| | 0/4 [00:00'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': ''})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/a4e9c5c3-fa17-4f05-8383-03a3cb3c1fba/invoke \"HTTP/1.1 200 OK\"\n", - " 23%|█████████-------------------------------| 1664/7340 [58:10<198:24, 28.6 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/4813e5e3-be12-40e2-9cc0-d5be0ad320cf/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:24:29 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:24:29 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/c062c21a-1b89-4117-86d3-d763f8af4cbd/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/7a0a74ba-160b-41ee-a6d2-6dc61c143d94/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:24:29 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m16:24:30 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 23%|█████████-------------------------------| 1684/7340 [58:12<195:28, 28.9 steps/min]2025-08-11 16:24:31,005 - agent.ComputerAgent - INFO - Computer: click({'x': 369, 'y': 564})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 369, 'y': 564})\n", - "\u001b[92m16:24:31 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:24:31 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:24:31,655 - agent.ComputerAgent - INFO - Computer: click({'x': 842, 'y': 571})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 842, 'y': 571})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/create_environment \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:24:32,328 - agent.ComputerAgent - INFO - LLM processing started with 26 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 26 messages\n", - "\u001b[92m16:24:32 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:24:32,999 - agent.ComputerAgent - INFO - LLM processing started with 16 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 16 messages\n", - "\u001b[92m16:24:33 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m16:24:33 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:24:33 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 23%|█████████-------------------------------| 1684/7340 [58:14<195:37, 28.9 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:24:33 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:24:34,996 - agent.ComputerAgent - INFO - Computer: type({'text': '3'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': '3'})\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:24:35,673 - agent.ComputerAgent - INFO - Computer: click({'button': 'right', 'x': 987, 'y': 658})\n", - "INFO:agent.ComputerAgent:Computer: click({'button': 'right', 'x': 987, 'y': 658})\n", - "2025-08-11 16:24:36,338 - agent.ComputerAgent - INFO - LLM processing started with 6 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 6 messages\n", - "\u001b[92m16:24:36 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 23%|█████████-------------------------------| 1686/7340 [58:18<195:30, 28.9 steps/min]\u001b[92m16:24:36 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:24:37,031 - agent.ComputerAgent - INFO - Computer: drag({'path': [{'x': 280, 'y': 375}, {'x': 802, 'y': 446}]})\n", - "INFO:agent.ComputerAgent:Computer: drag({'path': [{'x': 280, 'y': 375}, {'x': 802, 'y': 446}]})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:24:37 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:24:37 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 23%|█████████-------------------------------| 1688/7340 [58:19<195:17, 28.9 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:24:38,396 - agent.ComputerAgent - INFO - Computer: click({'x': 60, 'y': 35})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 60, 'y': 35})\n", - "\u001b[92m16:24:38 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/e8a299f4-d946-4970-b9a4-2503717de8ce/close \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/7bc07116-76e3-42fb-a0e3-a2273a5caa64/close \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/d8b3a739-de56-40fe-896f-831373c8ecee/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:24:39,048 - agent.ComputerAgent - INFO - Computer: click({'x': 478, 'y': 256})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 478, 'y': 256})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/a4e9c5c3-fa17-4f05-8383-03a3cb3c1fba/close \"HTTP/1.1 200 OK\"\n", - " 23%|█████████-------------------------------| 1693/7340 [58:22<194:41, 29.0 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/3ad517be-7b27-424d-b632-3ba6ff1a1e71/invoke \"HTTP/1.1 200 OK\"\n", - " 23%|█████████-------------------------------| 1695/7340 [58:23<194:26, 29.0 steps/min]INFO:httpx:HTTP Request: GET https://orchestration.hud.so/hud-gym/api/v1/gyms/OSWorld-Ubuntu \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: GET https://orchestration.hud.so/hud-gym/api/v1/gyms/OSWorld-Ubuntu \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: GET https://orchestration.hud.so/hud-gym/api/v1/gyms/OSWorld-Ubuntu \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/d8b3a739-de56-40fe-896f-831373c8ecee/close \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/3980166d-0a7d-4a58-a915-07dbe8b607bb/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b6b06a1a-197c-499e-a884-cc6bce509fa3/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - " 23%|█████████-------------------------------| 1695/7340 [58:25<194:33, 29.0 steps/min]\u001b[92m16:24:43 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9dca7e41-642b-4cca-8758-834cef0e844c/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/5da0c259-034b-4ba2-9e95-9d4ae99c7475/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:accelerate.utils.modeling:We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).\n", - "Loading checkpoint shards: 0%| | 0/4 [00:00\n", - "INFO:accelerate.utils.modeling:We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).\n", - " 26%|██████████------------------------------| 1938/7340 [66:27<185:15, 29.2 steps/min]\u001b[92m16:32:46 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/8956c64b-871b-43e2-84de-047c8ce2a839/invoke \"HTTP/1.1 200 OK\"\n", - "Loading checkpoint shards: 100%|██████████| 4/4 [00:05<00:00, 1.48s/it]\n", - "2025-08-11 16:32:46,573 - agent.ComputerAgent - INFO - LLM processing started with 26 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 26 messages\n", - "\u001b[92m16:32:46 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 26%|██████████------------------------------| 1939/7340 [66:29<185:13, 29.2 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/e7117b51-399c-45d8-88a1-c54a00b2bc38/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:32:48,835 - agent.ComputerAgent - INFO - LLM processing started with 16 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 16 messages\n", - "\u001b[92m16:32:48 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 26%|██████████------------------------------| 1939/7340 [66:32<185:19, 29.1 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:32:51 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Loading checkpoint shards: 100%|██████████| 4/4 [00:05<00:00, 1.38s/it]29.1 steps/min]\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:32:51 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:32:53,100 - agent.ComputerAgent - INFO - Computer: type({'text': '\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08LARS Resources (Backup)'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': '\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08\\x08LARS Resources (Backup)'})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:32:54,407 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ctrl+l'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ctrl+l'})\n", - " 26%|██████████------------------------------| 1939/7340 [66:36<185:31, 29.1 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:32:54 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:32:54 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:32:54 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:32:55 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:32:55,743 - agent.ComputerAgent - INFO - Computer: click({'x': 1009, 'y': 101})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 1009, 'y': 101})\n", - "2025-08-11 16:32:56,380 - agent.ComputerAgent - INFO - Computer: click({'x': 46, 'y': 527})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 46, 'y': 527})\n", - "2025-08-11 16:32:57,051 - agent.ComputerAgent - INFO - Computer: click({'x': 72, 'y': 244})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 72, 'y': 244})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:32:57 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:32:58,377 - agent.ComputerAgent - INFO - Computer: screenshot({})\n", - "INFO:agent.ComputerAgent:Computer: screenshot({})\n", - "2025-08-11 16:32:59,058 - agent.ComputerAgent - INFO - LLM processing started with 42 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 42 messages\n", - "\u001b[92m16:32:59 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:32:59,707 - agent.ComputerAgent - INFO - Computer: click({'x': 693, 'y': 698})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 693, 'y': 698})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:32:59 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:33:00 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:33:01 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 26%|██████████------------------------------| 1940/7340 [66:43<185:43, 29.1 steps/min]\u001b[92m16:33:01 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:33:02,296 - agent.ComputerAgent - INFO - Computer: click({'x': 70, 'y': 77})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 70, 'y': 77})\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 26%|██████████------------------------------| 1945/7340 [66:44<185:07, 29.1 steps/min]\u001b[92m16:33:02 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:33:03,527 - agent.ComputerAgent - INFO - Computer: click({'x': 635, 'y': 468})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 635, 'y': 468})\n", - "\u001b[92m16:33:03 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:33:04,208 - agent.ComputerAgent - INFO - Computer: scroll({'scroll_y': -628, 'scroll_x': 0, 'x': 526, 'y': 463})\n", - "INFO:agent.ComputerAgent:Computer: scroll({'scroll_y': -628, 'scroll_x': 0, 'x': 526, 'y': 463})\n", - "\u001b[92m16:33:04 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/4adb2bbf-d6e6-4d15-9e9a-c199cf02d5d6/invoke \"HTTP/1.1 200 OK\"\n", - " 27%|██████████------------------------------| 1946/7340 [66:45<185:03, 29.1 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "No screenshot found, taking screenshot\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025-08-11 16:33:04,854 - agent.ComputerAgent - INFO - LLM processing started with 8 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 8 messages\n", - "\u001b[92m16:33:04 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:33:05,505 - agent.ComputerAgent - INFO - Computer: click({'x': 969, 'y': 169})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 969, 'y': 169})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:33:06 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 27%|██████████------------------------------| 1948/7340 [66:47<184:53, 29.2 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:33:06 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:33:06 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:33:07,437 - agent.ComputerAgent - INFO - Computer: click({'x': 87, 'y': 181})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 87, 'y': 181})\n", - "\u001b[92m16:33:07 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/3980166d-0a7d-4a58-a915-07dbe8b607bb/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/f83df7e3-6ab0-404e-9745-09768e42b6fb/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6d8a38cc-c8f6-484c-9a6d-e6c404b2c7f9/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/4813e5e3-be12-40e2-9cc0-d5be0ad320cf/invoke \"HTTP/1.1 200 OK\"\n", - " 27%|██████████------------------------------| 1949/7340 [66:49<184:49, 29.2 steps/min]2025-08-11 16:33:08,125 - agent.ComputerAgent - INFO - Computer: click({'x': 76, 'y': 321})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 76, 'y': 321})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/a3ea8855-19d9-4e10-8208-fd9e060997e3/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:33:08,772 - agent.ComputerAgent - INFO - LLM processing started with 32 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 32 messages\n", - "\u001b[92m16:33:08 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:33:09,435 - agent.ComputerAgent - INFO - LLM processing started with 14 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 14 messages\n", - "\u001b[92m16:33:09 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:33:10,071 - agent.ComputerAgent - INFO - LLM processing started with 28 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 28 messages\n", - "\u001b[92m16:33:10 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 27%|██████████------------------------------| 1950/7340 [66:51<184:49, 29.2 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:33:11,418 - agent.ComputerAgent - INFO - Computer: type({'text': 'orig=$(find . -path ./fails -prune -o -type f -name \"*failed.ipynb\" -print | wc -l); copied=$(find ./fails -type f -name \"*failed.ipynb\" -print | wc -l); echo \"orig=$orig copied=$copied\"'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'orig=$(find . -path ./fails -prune -o -type f -name \"*failed.ipynb\" -print | wc -l); copied=$(find ./fails -type f -name \"*failed.ipynb\" -print | wc -l); echo \"orig=$orig copied=$copied\"'})\n", - "2025-08-11 16:33:12,446 - agent.ComputerAgent - INFO - LLM processing started with 36 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 36 messages\n", - "\u001b[92m16:33:12 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/ea9e43cc-3d54-4c89-bb53-a189a3ae9a25/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/d0000302-258b-4660-9baa-e149c2ad83fd/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b2ca79e3-4425-4cd4-a9dd-42e2431eb008/invoke \"HTTP/1.1 200 OK\"\n", - " 27%|██████████------------------------------| 1951/7340 [66:54<184:48, 29.2 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:33:14,195 - agent.ComputerAgent - INFO - Computer: type({'text': 'sudo apt-get update -y && sudo apt-get install -y steghide binwalk exiftool ffmpeg\\n'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'sudo apt-get update -y && sudo apt-get install -y steghide binwalk exiftool ffmpeg\\n'})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/e7117b51-399c-45d8-88a1-c54a00b2bc38/invoke \"HTTP/1.1 200 OK\"\n", - " 27%|██████████------------------------------| 1952/7340 [66:55<184:44, 29.2 steps/min]2025-08-11 16:33:14,816 - agent.ComputerAgent - INFO - LLM processing started with 18 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 18 messages\n", - "\u001b[92m16:33:14 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:33:15,505 - agent.ComputerAgent - INFO - LLM processing started with 26 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 26 messages\n", - "\u001b[92m16:33:15 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:33:16,172 - agent.ComputerAgent - INFO - LLM processing started with 18 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 18 messages\n", - "\u001b[92m16:33:16 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v1/environments/6b741091-faa0-4d97-9592-0dc410b6cc53/reset \"HTTP/1.1 200 OK\"\n", - " 27%|██████████------------------------------| 1953/7340 [66:57<184:42, 29.2 steps/min]2025-08-11 16:33:16,865 - agent.ComputerAgent - INFO - LLM processing started with 8 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 8 messages\n", - "\u001b[92m16:33:16 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 27%|██████████------------------------------| 1953/7340 [66:58<184:45, 29.2 steps/min]2025-08-11 16:33:17,496 - agent.ComputerAgent - INFO - LLM processing started with 8 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 8 messages\n", - "\u001b[92m16:33:17 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 27%|██████████------------------------------| 1953/7340 [67:01<184:53, 29.1 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6b741091-faa0-4d97-9592-0dc410b6cc53/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:33:21 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/81398d20-3c85-489b-9abc-2af244ec1feb/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/7a0a74ba-160b-41ee-a6d2-6dc61c143d94/invoke \"HTTP/1.1 200 OK\"\n", - " 27%|██████████------------------------------| 1953/7340 [67:03<184:58, 29.1 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:33:22,384 - agent.ComputerAgent - INFO - LLM processing started with 16 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 16 messages\n", - "\u001b[92m16:33:22 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m16:33:22 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/8956c64b-871b-43e2-84de-047c8ce2a839/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:33:23 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:33:23,684 - agent.ComputerAgent - INFO - Computer: click({'x': 237, 'y': 95})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 237, 'y': 95})\n", - " 27%|██████████------------------------------| 1953/7340 [67:05<185:03, 29.1 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:33:24,329 - agent.ComputerAgent - INFO - LLM processing started with 38 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 38 messages\n", - "\u001b[92m16:33:24 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/488d7653-4f2d-4576-85c7-d87dc7a875ef/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m16:33:24 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:33:25 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:33:25 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:33:26 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:33:27,033 - agent.ComputerAgent - INFO - Computer: click({'x': 592, 'y': 568})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 592, 'y': 568})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m16:33:27 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 27%|██████████------------------------------| 1954/7340 [67:09<185:06, 29.1 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:33:27 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:33:28,365 - agent.ComputerAgent - INFO - Computer: click({'x': 664, 'y': 213})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 664, 'y': 213})\n", - "\u001b[92m16:33:28 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:33:29,040 - agent.ComputerAgent - INFO - Computer: click({'x': 489, 'y': 427})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 489, 'y': 427})\n", - "\u001b[92m16:33:29 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:33:29 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 27%|██████████------------------------------| 1955/7340 [67:10<185:02, 29.1 steps/min]2025-08-11 16:33:29,694 - agent.ComputerAgent - INFO - Computer: click({'x': 83, 'y': 139})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 83, 'y': 139})\n", - "2025-08-11 16:33:30,372 - agent.ComputerAgent - INFO - Computer: scroll({'scroll_y': -658, 'scroll_x': 0, 'x': 526, 'y': 432})\n", - "INFO:agent.ComputerAgent:Computer: scroll({'scroll_y': -658, 'scroll_x': 0, 'x': 526, 'y': 432})\n", - " 27%|██████████------------------------------| 1957/7340 [67:12<184:50, 29.1 steps/min]2025-08-11 16:33:31,077 - agent.ComputerAgent - INFO - LLM processing started with 28 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 28 messages\n", - "\u001b[92m16:33:31 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:33:31,780 - agent.ComputerAgent - INFO - LLM processing started with 1 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 1 messages\n", - "\u001b[92m16:33:31 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:33:33,106 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ctrl+a'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ctrl+a'})\n", - " 27%|██████████------------------------------| 1959/7340 [67:14<184:42, 29.1 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:33:33 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:33:34,429 - agent.ComputerAgent - INFO - LLM processing started with 20 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 20 messages\n", - "\u001b[92m16:33:34 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 27%|██████████------------------------------| 1959/7340 [67:16<184:46, 29.1 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:33:35,086 - agent.ComputerAgent - INFO - LLM processing started with 24 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 24 messages\n", - "\u001b[92m16:33:35 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m16:33:35 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6d8a38cc-c8f6-484c-9a6d-e6c404b2c7f9/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/f83df7e3-6ab0-404e-9745-09768e42b6fb/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/4adb2bbf-d6e6-4d15-9e9a-c199cf02d5d6/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:33:35,779 - agent.ComputerAgent - INFO - Computer: click({'x': 86, 'y': 73})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 86, 'y': 73})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/4813e5e3-be12-40e2-9cc0-d5be0ad320cf/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/485267e4-f348-45f0-a08d-1d1f28a01f1d/invoke \"HTTP/1.1 200 OK\"\n", - " 27%|██████████------------------------------| 1959/7340 [67:17<184:50, 29.1 steps/min]2025-08-11 16:33:36,470 - agent.ComputerAgent - INFO - LLM processing started with 16 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 16 messages\n", - "\u001b[92m16:33:36 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:33:37,105 - agent.ComputerAgent - INFO - LLM processing started with 30 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 30 messages\n", - "\u001b[92m16:33:37 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - " 27%|██████████------------------------------| 1960/7340 [67:19<184:48, 29.1 steps/min]\u001b[92m16:33:37 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:33:38,439 - agent.ComputerAgent - INFO - LLM processing started with 10 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 10 messages\n", - "\u001b[92m16:33:38 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:33:39,107 - agent.ComputerAgent - INFO - LLM processing started with 38 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 38 messages\n", - "\u001b[92m16:33:39 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 27%|██████████------------------------------| 1960/7340 [67:20<184:51, 29.1 steps/min]\u001b[92m16:33:39 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:33:39,749 - agent.ComputerAgent - INFO - Computer: click({'x': 715, 'y': 627})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 715, 'y': 627})\n", - " 27%|██████████------------------------------| 1960/7340 [67:21<184:54, 29.1 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/485267e4-f348-45f0-a08d-1d1f28a01f1d/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/e7117b51-399c-45d8-88a1-c54a00b2bc38/invoke \"HTTP/1.1 200 OK\"\n", - " 27%|██████████------------------------------| 1962/7340 [67:22<184:41, 29.1 steps/min]2025-08-11 16:33:41,945 - agent.ComputerAgent - INFO - LLM processing started with 20 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 20 messages\n", - "\u001b[92m16:33:41 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/485267e4-f348-45f0-a08d-1d1f28a01f1d/close \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 27%|██████████------------------------------| 1962/7340 [67:24<184:45, 29.1 steps/min]INFO:httpx:HTTP Request: GET https://orchestration.hud.so/hud-gym/api/v1/gyms/OSWorld-Ubuntu \"HTTP/1.1 200 OK\"\n", - " 27%|██████████------------------------------| 1962/7340 [67:25<184:48, 29.1 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:33:44 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/ea9e43cc-3d54-4c89-bb53-a189a3ae9a25/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:accelerate.utils.modeling:We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).\n", - "Loading checkpoint shards: 0%| | 0/4 [00:00\\n2
\\n3
'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': '1
\\n2
\\n3
'})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/2c254802-788e-4b4b-98dc-68cd2c6bcce4/invoke \"HTTP/1.1 200 OK\"\n", - " 30%|███████████-----------------------------| 2167/7340 [73:25<175:17, 29.5 steps/min]2025-08-11 16:39:45,389 - agent.ComputerAgent - INFO - LLM processing started with 22 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 22 messages\n", - "\u001b[92m16:39:45 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 30%|███████████-----------------------------| 2168/7340 [73:27<175:13, 29.5 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/8956c64b-871b-43e2-84de-047c8ce2a839/invoke \"HTTP/1.1 200 OK\"\n", - " 30%|███████████-----------------------------| 2168/7340 [73:28<175:16, 29.5 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:39:48,220 - agent.ComputerAgent - INFO - Computer: type({'text': 'Manchester, GB'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'Manchester, GB'})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/8956c64b-871b-43e2-84de-047c8ce2a839/close \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - " 30%|███████████-----------------------------| 2168/7340 [73:30<175:22, 29.5 steps/min]\u001b[92m16:39:48 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 30%|███████████-----------------------------| 2169/7340 [73:31<175:17, 29.5 steps/min]\u001b[92m16:39:50 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:39:50,735 - agent.ComputerAgent - INFO - Agent: Taking a screenshot to see the current computer screen.\n", - "INFO:agent.ComputerAgent:Agent: Taking a screenshot to see the current computer screen.\n", - "2025-08-11 16:39:50,735 - agent.ComputerAgent - INFO - Computer: click({'x': 256, 'y': 173})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 256, 'y': 173})\n", - "INFO:httpx:HTTP Request: GET https://orchestration.hud.so/hud-gym/api/v1/gyms/OSWorld-Ubuntu \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/71840850-9565-4ed2-8fa2-e4f2ba6ec6a9/invoke \"HTTP/1.1 200 OK\"\n", - " 30%|███████████-----------------------------| 2169/7340 [73:32<175:20, 29.5 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:39:51 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:accelerate.utils.modeling:We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).\n", - "Loading checkpoint shards: 0%| | 0/4 [00:00> ~/.vimrc && echo Done\\''})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'bash -lc \\'printf \"\\\\n\\\\\" Enable absolute line numbers by default\\\\nset number\\\\n\" >> ~/.vimrc && echo Done\\''})\n", - " 31%|████████████----------------------------| 2276/7340 [77:50<173:11, 29.2 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0803e2c2-9de2-40ff-93da-cb49f156cbba/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/029e3386-8f59-44a0-9dba-b14a4d9825ef/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/7e0b0038-3a97-4d93-8c5c-154cc0b95af9/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6195bb79-4eff-4d3b-8b67-f28a4e6a73fa/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/74442f45-62aa-40d1-9499-ea3e8e0a4c18/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:44:10,219 - agent.ComputerAgent - INFO - LLM processing started with 30 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 30 messages\n", - "\u001b[92m16:44:10 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/a8ddfa4f-6f9b-4ad8-b763-1881394c9926/invoke \"HTTP/1.1 200 OK\"\n", - " 31%|████████████----------------------------| 2277/7340 [77:52<173:08, 29.2 steps/min]2025-08-11 16:44:10,891 - agent.ComputerAgent - INFO - LLM processing started with 16 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 16 messages\n", - "\u001b[92m16:44:10 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:44:11,562 - agent.ComputerAgent - INFO - LLM processing started with 28 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 28 messages\n", - "\u001b[92m16:44:11 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 31%|████████████----------------------------| 2277/7340 [77:53<173:11, 29.2 steps/min]2025-08-11 16:44:12,212 - agent.ComputerAgent - INFO - LLM processing started with 20 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 20 messages\n", - "\u001b[92m16:44:12 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:44:12 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:44:14,267 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ctrl+a'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ctrl+a'})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/475030e1-7ae3-4ced-91fb-2221d956a2ad/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - "\u001b[92m16:44:14 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:44:16,173 - agent.ComputerAgent - INFO - Agent: The heading is now center-aligned and the document has been saved. Task completed.\n", - "INFO:agent.ComputerAgent:Agent: The heading is now center-aligned and the document has been saved. Task completed.\n", - "2025-08-11 16:44:16,851 - agent.ComputerAgent - INFO - Total usage:\n", - " - completion_tokens: 218\n", - " - prompt_tokens: 4658\n", - " - total_tokens: 4876\n", - " - completion_tokens_details:\n", - " - accepted_prediction_tokens: 0\n", - " - audio_tokens: 0\n", - " - reasoning_tokens: 192\n", - " - rejected_prediction_tokens: 0\n", - " - prompt_tokens_details:\n", - " - audio_tokens: 0\n", - " - cached_tokens: 0\n", - " - response_cost: $0.0080\n", - "INFO:agent.ComputerAgent:Total usage:\n", - " - completion_tokens: 218\n", - " - prompt_tokens: 4658\n", - " - total_tokens: 4876\n", - " - completion_tokens_details:\n", - " - accepted_prediction_tokens: 0\n", - " - audio_tokens: 0\n", - " - reasoning_tokens: 192\n", - " - rejected_prediction_tokens: 0\n", - " - prompt_tokens_details:\n", - " - audio_tokens: 0\n", - " - cached_tokens: 0\n", - " - response_cost: $0.0080\n", - " 31%|████████████----------------------------| 2279/7340 [77:58<173:09, 29.2 steps/min]2025-08-11 16:44:17,521 - agent.ComputerAgent - INFO - LLM processing started with 12 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 12 messages\n", - "\u001b[92m16:44:17 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:44:18,174 - agent.ComputerAgent - INFO - LLM processing started with 12 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 12 messages\n", - "\u001b[92m16:44:18 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:44:18 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m16:44:18 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:44:19,530 - agent.ComputerAgent - INFO - LLM processing started with 32 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 32 messages\n", - "\u001b[92m16:44:19 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - " 31%|████████████----------------------------| 2279/7340 [78:01<173:17, 29.2 steps/min]\u001b[92m16:44:20 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:44:20,843 - agent.ComputerAgent - INFO - Computer: click({'x': 1008, 'y': 193})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 1008, 'y': 193})\n", - "\u001b[92m16:44:20 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m16:44:21 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:44:22,141 - agent.ComputerAgent - INFO - Computer: click({'x': 776, 'y': 643})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 776, 'y': 643})\n", - "2025-08-11 16:44:22,791 - agent.ComputerAgent - INFO - LLM processing started with 20 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 20 messages\n", - " 31%|████████████----------------------------| 2279/7340 [78:04<173:22, 29.2 steps/min]\u001b[92m16:44:22 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m16:44:22 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:44:22 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:44:23,485 - agent.ComputerAgent - INFO - Computer: click({'x': 977, 'y': 16})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 977, 'y': 16})\n", - "2025-08-11 16:44:24,132 - agent.ComputerAgent - INFO - Computer: click({'x': 111, 'y': 162})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 111, 'y': 162})\n", - "\u001b[92m16:44:24 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 31%|████████████----------------------------| 2281/7340 [78:05<173:12, 29.2 steps/min]2025-08-11 16:44:24,809 - agent.ComputerAgent - INFO - Computer: click({'x': 625, 'y': 248})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 625, 'y': 248})\n", - " 31%|████████████----------------------------| 2283/7340 [78:06<173:01, 29.2 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/ed3b76a0-7eeb-473c-8da1-310545515f47/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:44:26,462 - agent.ComputerAgent - INFO - LLM processing started with 39 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 39 messages\n", - "\u001b[92m16:44:26 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/5180ec6f-26a5-4ab4-8ca3-87f128083da1/invoke \"HTTP/1.1 200 OK\"\n", - " 31%|████████████----------------------------| 2284/7340 [78:08<172:58, 29.2 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:44:27 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:44:28,788 - agent.ComputerAgent - INFO - Computer: type({'text': 'none.png'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'none.png'})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:44:29 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 31%|████████████----------------------------| 2284/7340 [78:11<173:06, 29.2 steps/min]\u001b[92m16:44:30 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:44:30 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:44:30 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:44:31 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/ea9e43cc-3d54-4c89-bb53-a189a3ae9a25/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/ff8b808f-c3a6-4979-8f9a-c6a25905116c/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/a46ee6f6-d167-47c4-ad83-e16b88450253/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/a39ee9df-d3ba-456a-95cf-3a11a826583b/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:44:32,685 - agent.ComputerAgent - INFO - Computer: type({'text': 'pkill -f soffice.bin\\n'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'pkill -f soffice.bin\\n'})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/3e4ea7d7-21a2-4b07-abd4-a3e280e44e0b/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:44:33,322 - agent.ComputerAgent - INFO - Computer: click({'x': 982, 'y': 632})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 982, 'y': 632})\n", - "\u001b[92m16:44:33 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:44:33 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:44:34,677 - agent.ComputerAgent - INFO - Agent: All .jpg files from the photos directory (recursively) have been copied into cpjpg on the Desktop. Verified: 4 .jpg files found and 4 copied.\n", - "\n", - "Task completed\n", - "INFO:agent.ComputerAgent:Agent: All .jpg files from the photos directory (recursively) have been copied into cpjpg on the Desktop. Verified: 4 .jpg files found and 4 copied.\n", - "\n", - "Task completed\n", - "2025-08-11 16:44:35,306 - agent.ComputerAgent - INFO - Total usage:\n", - " - completion_tokens: 494\n", - " - prompt_tokens: 8268\n", - " - total_tokens: 8762\n", - " - completion_tokens_details:\n", - " - accepted_prediction_tokens: 0\n", - " - audio_tokens: 0\n", - " - reasoning_tokens: 448\n", - " - rejected_prediction_tokens: 0\n", - " - prompt_tokens_details:\n", - " - audio_tokens: 0\n", - " - cached_tokens: 0\n", - " - response_cost: $0.0153\n", - "INFO:agent.ComputerAgent:Total usage:\n", - " - completion_tokens: 494\n", - " - prompt_tokens: 8268\n", - " - total_tokens: 8762\n", - " - completion_tokens_details:\n", - " - accepted_prediction_tokens: 0\n", - " - audio_tokens: 0\n", - " - reasoning_tokens: 448\n", - " - rejected_prediction_tokens: 0\n", - " - prompt_tokens_details:\n", - " - audio_tokens: 0\n", - " - cached_tokens: 0\n", - " - response_cost: $0.0153\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:44:35 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 31%|████████████----------------------------| 2287/7340 [78:17<172:59, 29.2 steps/min]2025-08-11 16:44:36,616 - agent.ComputerAgent - INFO - Computer: scroll({'scroll_y': 666, 'scroll_x': 0, 'x': 336, 'y': 152})\n", - "INFO:agent.ComputerAgent:Computer: scroll({'scroll_y': 666, 'scroll_x': 0, 'x': 336, 'y': 152})\n", - "2025-08-11 16:44:37,280 - agent.ComputerAgent - INFO - Computer: click({'x': 520, 'y': 437})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 520, 'y': 437})\n", - "\u001b[92m16:44:37 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:44:37 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:44:37,941 - agent.ComputerAgent - INFO - LLM processing started with 42 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 42 messages\n", - "\u001b[92m16:44:37 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:44:38,620 - agent.ComputerAgent - INFO - Computer: click({'x': 514, 'y': 304})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 514, 'y': 304})\n", - "2025-08-11 16:44:39,286 - agent.ComputerAgent - INFO - Computer: scroll({'scroll_y': -200, 'scroll_x': 0, 'x': 589, 'y': 128})\n", - "INFO:agent.ComputerAgent:Computer: scroll({'scroll_y': -200, 'scroll_x': 0, 'x': 589, 'y': 128})\n", - " 31%|████████████----------------------------| 2289/7340 [78:21<172:53, 29.2 steps/min]\u001b[92m16:44:39 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:44:39,956 - agent.ComputerAgent - INFO - Computer: click({'x': 351, 'y': 153})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 351, 'y': 153})\n", - "2025-08-11 16:44:40,591 - agent.ComputerAgent - INFO - LLM processing started with 14 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 14 messages\n", - "\u001b[92m16:44:40 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:44:41,646 - agent.ComputerAgent - INFO - LLM processing started with 32 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 32 messages\n", - "\u001b[92m16:44:41 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 31%|████████████----------------------------| 2293/7340 [78:23<172:32, 29.3 steps/min]2025-08-11 16:44:42,285 - agent.ComputerAgent - INFO - LLM processing started with 18 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 18 messages\n", - "\u001b[92m16:44:42 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:44:42,973 - agent.ComputerAgent - INFO - LLM processing started with 18 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 18 messages\n", - "\u001b[92m16:44:42 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:44:44,693 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'enter'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'enter'})\n", - " 31%|████████████----------------------------| 2294/7340 [78:26<172:32, 29.2 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/ed3b76a0-7eeb-473c-8da1-310545515f47/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/fd628f34-1346-4947-bfa4-cf698adb3472/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:44:45,371 - agent.ComputerAgent - INFO - LLM processing started with 41 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 41 messages\n", - "\u001b[92m16:44:45 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/5180ec6f-26a5-4ab4-8ca3-87f128083da1/invoke \"HTTP/1.1 200 OK\"\n", - " 31%|████████████----------------------------| 2311/7340 [78:27<170:43, 29.5 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/5180ec6f-26a5-4ab4-8ca3-87f128083da1/close \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6195bb79-4eff-4d3b-8b67-f28a4e6a73fa/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/fd628f34-1346-4947-bfa4-cf698adb3472/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/2c254802-788e-4b4b-98dc-68cd2c6bcce4/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/74442f45-62aa-40d1-9499-ea3e8e0a4c18/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/d4054e85-5304-43a3-b6d7-128e302780cb/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/7e0b0038-3a97-4d93-8c5c-154cc0b95af9/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0803e2c2-9de2-40ff-93da-cb49f156cbba/invoke \"HTTP/1.1 200 OK\"\n", - " 31%|████████████----------------------------| 2311/7340 [78:30<170:49, 29.4 steps/min]2025-08-11 16:44:49,145 - agent.ComputerAgent - INFO - LLM processing started with 32 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 32 messages\n", - "\u001b[92m16:44:49 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: GET https://orchestration.hud.so/hud-gym/api/v1/gyms/OSWorld-Ubuntu \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:44:49,827 - agent.ComputerAgent - INFO - LLM processing started with 18 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 18 messages\n", - "\u001b[92m16:44:49 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:44:50,495 - agent.ComputerAgent - INFO - LLM processing started with 22 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 22 messages\n", - "\u001b[92m16:44:50 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/fd628f34-1346-4947-bfa4-cf698adb3472/close \"HTTP/1.1 200 OK\"\n", - " 32%|████████████----------------------------| 2321/7340 [78:32<169:49, 29.6 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/029e3386-8f59-44a0-9dba-b14a4d9825ef/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/a8ddfa4f-6f9b-4ad8-b763-1881394c9926/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/475030e1-7ae3-4ced-91fb-2221d956a2ad/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - " 32%|████████████----------------------------| 2322/7340 [78:33<169:45, 29.6 steps/min]2025-08-11 16:44:53,297 - agent.ComputerAgent - INFO - LLM processing started with 30 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 30 messages\n", - "\u001b[92m16:44:53 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:44:53,963 - agent.ComputerAgent - INFO - LLM processing started with 14 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 14 messages\n", - "\u001b[92m16:44:53 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:44:54 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 32%|████████████----------------------------| 2322/7340 [78:36<169:52, 29.5 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:44:55,334 - agent.ComputerAgent - INFO - LLM processing started with 22 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 22 messages\n", - "\u001b[92m16:44:55 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:accelerate.utils.modeling:We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).\n", - "Loading checkpoint shards: 0%| | 0/4 [00:00 ~/vim_test.txt && vim ~/vim_test.txt\\''})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'bash -lc \\'printf \"line a\\\\nline b\\\\nline c\\\\n\" > ~/vim_test.txt && vim ~/vim_test.txt\\''})\n", - " 33%|█████████████---------------------------| 2397/7340 [80:43<166:27, 29.7 steps/min]\u001b[92m16:47:01 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:47:02,258 - agent.ComputerAgent - INFO - Computer: click({'x': 855, 'y': 476})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 855, 'y': 476})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:47:02 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 33%|█████████████---------------------------| 2399/7340 [80:44<166:18, 29.7 steps/min]\u001b[92m16:47:03 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:47:03,544 - agent.ComputerAgent - INFO - Computer: scroll({'scroll_y': 604, 'scroll_x': 0, 'x': 307, 'y': 666})\n", - "INFO:agent.ComputerAgent:Computer: scroll({'scroll_y': 604, 'scroll_x': 0, 'x': 307, 'y': 666})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:47:04 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 33%|█████████████---------------------------| 2401/7340 [80:46<166:09, 29.7 steps/min]\u001b[92m16:47:04 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:47:04 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:47:05,490 - agent.ComputerAgent - INFO - Agent: Taking a screenshot to see the current computer screen.\n", - "INFO:agent.ComputerAgent:Agent: Taking a screenshot to see the current computer screen.\n", - "2025-08-11 16:47:05,491 - agent.ComputerAgent - INFO - Computer: click({'button': 'left', 'x': 465, 'y': 294})\n", - "INFO:agent.ComputerAgent:Computer: click({'button': 'left', 'x': 465, 'y': 294})\n", - " 33%|█████████████---------------------------| 2402/7340 [80:47<166:05, 29.7 steps/min]\u001b[92m16:47:05 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:47:06,659 - agent.ComputerAgent - INFO - Computer: click({'x': 637, 'y': 471})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 637, 'y': 471})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/3e4ea7d7-21a2-4b07-abd4-a3e280e44e0b/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:47:07,327 - agent.ComputerAgent - INFO - LLM processing started with 31 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 31 messages\n", - "\u001b[92m16:47:07 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 33%|█████████████---------------------------| 2403/7340 [80:49<166:02, 29.7 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m16:47:07 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:47:08,385 - agent.ComputerAgent - INFO - Computer: click({'x': 111, 'y': 270})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 111, 'y': 270})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6195bb79-4eff-4d3b-8b67-f28a4e6a73fa/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/475030e1-7ae3-4ced-91fb-2221d956a2ad/invoke \"HTTP/1.1 200 OK\"\n", - " 33%|█████████████---------------------------| 2404/7340 [80:50<165:58, 29.7 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:47:09,003 - agent.ComputerAgent - INFO - LLM processing started with 30 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 30 messages\n", - "\u001b[92m16:47:09 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6fcb07bb-6857-4888-82a0-1fd0dbf2d722/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m16:47:09 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:47:09,698 - agent.ComputerAgent - INFO - Computer: scroll({'scroll_y': 530, 'scroll_x': 0, 'x': 574, 'y': 736})\n", - "INFO:agent.ComputerAgent:Computer: scroll({'scroll_y': 530, 'scroll_x': 0, 'x': 574, 'y': 736})\n", - "2025-08-11 16:47:10,366 - agent.ComputerAgent - INFO - LLM processing started with 32 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 32 messages\n", - "\u001b[92m16:47:10 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - " 33%|█████████████---------------------------| 2406/7340 [80:52<165:50, 29.8 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/create_environment \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:47:10 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:47:11,392 - agent.ComputerAgent - INFO - Computer: click({'x': 1008, 'y': 164})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 1008, 'y': 164})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/d4054e85-5304-43a3-b6d7-128e302780cb/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/81b23870-39ed-4649-9729-1d4809f713ec/invoke \"HTTP/1.1 200 OK\"\n", - " 33%|█████████████---------------------------| 2407/7340 [80:53<165:46, 29.8 steps/min]2025-08-11 16:47:12,011 - agent.ComputerAgent - INFO - LLM processing started with 6 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 6 messages\n", - "\u001b[92m16:47:12 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:47:12,685 - agent.ComputerAgent - INFO - LLM processing started with 42 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 42 messages\n", - "\u001b[92m16:47:12 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/3e4ea7d7-21a2-4b07-abd4-a3e280e44e0b/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:47:13 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 33%|█████████████---------------------------| 2408/7340 [80:55<165:44, 29.8 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:47:14,028 - agent.ComputerAgent - INFO - LLM processing started with 33 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 33 messages\n", - "\u001b[92m16:47:14 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/7e0b0038-3a97-4d93-8c5c-154cc0b95af9/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/1473c3f2-39e1-4aff-8d55-0e23dc25a055/invoke \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:47:14,693 - agent.ComputerAgent - INFO - LLM processing started with 6 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 6 messages\n", - "\u001b[92m16:47:14 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - " 33%|█████████████---------------------------| 2408/7340 [80:57<165:48, 29.7 steps/min]\u001b[92m16:47:15 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:47:15 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/a46ee6f6-d167-47c4-ad83-e16b88450253/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:47:16,409 - agent.ComputerAgent - INFO - Computer: click({'x': 237, 'y': 75})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 237, 'y': 75})\n", - "2025-08-11 16:47:17,070 - agent.ComputerAgent - INFO - LLM processing started with 40 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 40 messages\n", - "\u001b[92m16:47:17 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:47:18,388 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ctrl+a'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ctrl+a'})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - "\u001b[92m16:47:18 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/029e3386-8f59-44a0-9dba-b14a4d9825ef/invoke \"HTTP/1.1 200 OK\"\n", - " 33%|█████████████---------------------------| 2409/7340 [81:00<165:48, 29.7 steps/min]2025-08-11 16:47:19,055 - agent.ComputerAgent - INFO - Computer: click({'x': 458, 'y': 275})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 458, 'y': 275})\n", - "2025-08-11 16:47:19,739 - agent.ComputerAgent - INFO - LLM processing started with 26 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 26 messages\n", - "\u001b[92m16:47:19 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 33%|█████████████---------------------------| 2410/7340 [81:01<165:44, 29.7 steps/min]2025-08-11 16:47:20,387 - agent.ComputerAgent - INFO - LLM processing started with 36 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 36 messages\n", - "\u001b[92m16:47:20 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:47:21,068 - agent.ComputerAgent - INFO - LLM processing started with 24 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 24 messages\n", - "\u001b[92m16:47:21 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 33%|█████████████---------------------------| 2411/7340 [81:02<165:41, 29.7 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:47:21 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/ff8b808f-c3a6-4979-8f9a-c6a25905116c/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/3e4ea7d7-21a2-4b07-abd4-a3e280e44e0b/invoke \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:47:22,362 - agent.ComputerAgent - INFO - LLM processing started with 35 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 35 messages\n", - "\u001b[92m16:47:22 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:47:23,717 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'enter'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'enter'})\n", - " 33%|█████████████---------------------------| 2411/7340 [81:05<165:46, 29.7 steps/min]\u001b[92m16:47:23 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:47:24,730 - agent.ComputerAgent - INFO - Computer: double_click({'x': 331, 'y': 111})\n", - "INFO:agent.ComputerAgent:Computer: double_click({'x': 331, 'y': 111})\n", - " 33%|█████████████---------------------------| 2412/7340 [81:06<165:42, 29.7 steps/min]2025-08-11 16:47:25,410 - agent.ComputerAgent - INFO - LLM processing started with 38 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 38 messages\n", - "\u001b[92m16:47:25 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v1/environments/e2ffab0a-c998-4bbf-906b-d3aad0586220/reset \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/2c254802-788e-4b4b-98dc-68cd2c6bcce4/invoke \"HTTP/1.1 200 OK\"\n", - " 33%|█████████████---------------------------| 2413/7340 [81:07<165:38, 29.7 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0803e2c2-9de2-40ff-93da-cb49f156cbba/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:47:26,610 - agent.ComputerAgent - INFO - LLM processing started with 26 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 26 messages\n", - "\u001b[92m16:47:26 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:47:27,269 - agent.ComputerAgent - INFO - LLM processing started with 40 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 40 messages\n", - "\u001b[92m16:47:27 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 33%|█████████████---------------------------| 2413/7340 [81:09<165:43, 29.7 steps/min]\u001b[92m16:47:27 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/e2ffab0a-c998-4bbf-906b-d3aad0586220/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - "\u001b[92m16:47:28 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:47:29,307 - agent.ComputerAgent - INFO - LLM processing started with 1 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 1 messages\n", - "\u001b[92m16:47:29 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 33%|█████████████---------------------------| 2414/7340 [81:11<165:39, 29.7 steps/min]\u001b[92m16:47:30 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:47:30,494 - agent.ComputerAgent - INFO - Computer: click({'x': 946, 'y': 738})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 946, 'y': 738})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/475030e1-7ae3-4ced-91fb-2221d956a2ad/invoke \"HTTP/1.1 200 OK\"\n", - " 33%|█████████████---------------------------| 2414/7340 [81:12<165:42, 29.7 steps/min]2025-08-11 16:47:31,166 - agent.ComputerAgent - INFO - LLM processing started with 34 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 34 messages\n", - "\u001b[92m16:47:31 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/3e4ea7d7-21a2-4b07-abd4-a3e280e44e0b/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:47:31,814 - agent.ComputerAgent - INFO - LLM processing started with 37 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 37 messages\n", - "\u001b[92m16:47:31 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m16:47:31 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6fcb07bb-6857-4888-82a0-1fd0dbf2d722/invoke \"HTTP/1.1 200 OK\"\n", - " 33%|█████████████---------------------------| 2415/7340 [81:13<165:39, 29.7 steps/min]2025-08-11 16:47:32,487 - agent.ComputerAgent - INFO - Computer: click({'x': 351, 'y': 294})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 351, 'y': 294})\n", - "2025-08-11 16:47:33,177 - agent.ComputerAgent - INFO - LLM processing started with 8 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 8 messages\n", - "\u001b[92m16:47:33 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 33%|█████████████---------------------------| 2415/7340 [81:14<165:41, 29.7 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 33%|█████████████---------------------------| 2416/7340 [81:15<165:37, 29.7 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/create_environment \"HTTP/1.1 200 OK\"\n", - " 33%|█████████████---------------------------| 2416/7340 [81:16<165:39, 29.7 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/e5b48f23-7687-494c-b68c-ebdfc70d085f/invoke \"HTTP/1.1 200 OK\"\n", - " 33%|█████████████---------------------------| 2416/7340 [81:17<165:41, 29.7 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/create_environment \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:47:37 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 33%|█████████████---------------------------| 2417/7340 [81:19<165:37, 29.7 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/3e4ea7d7-21a2-4b07-abd4-a3e280e44e0b/invoke \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:47:38,035 - agent.ComputerAgent - INFO - LLM processing started with 39 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 39 messages\n", - "\u001b[92m16:47:38 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6195bb79-4eff-4d3b-8b67-f28a4e6a73fa/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v1/environments/e5b48f23-7687-494c-b68c-ebdfc70d085f/reset \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/c3518cd0-0df6-44e9-8393-0c62002bc984/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/81b23870-39ed-4649-9729-1d4809f713ec/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:47:38,680 - agent.ComputerAgent - INFO - LLM processing started with 32 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 32 messages\n", - "\u001b[92m16:47:38 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 33%|█████████████---------------------------| 2417/7340 [81:20<165:40, 29.7 steps/min]2025-08-11 16:47:39,336 - agent.ComputerAgent - INFO - LLM processing started with 8 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 8 messages\n", - "\u001b[92m16:47:39 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m16:47:39 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:47:40 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:47:41,078 - agent.ComputerAgent - INFO - Agent: Taking a screenshot to see the current computer screen.\n", - "INFO:agent.ComputerAgent:Agent: Taking a screenshot to see the current computer screen.\n", - "2025-08-11 16:47:41,079 - agent.ComputerAgent - INFO - Computer: click({'x': 92, 'y': 359})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 92, 'y': 359})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - " 33%|█████████████---------------------------| 2417/7340 [81:23<165:46, 29.7 steps/min]\u001b[92m16:47:41 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 33%|█████████████---------------------------| 2418/7340 [81:24<165:42, 29.7 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m16:47:43 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:47:43 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:47:44,087 - agent.ComputerAgent - INFO - Computer: click({'x': 982, 'y': 760})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 982, 'y': 760})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/e5b48f23-7687-494c-b68c-ebdfc70d085f/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - " 33%|█████████████---------------------------| 2419/7340 [81:25<165:39, 29.7 steps/min]2025-08-11 16:47:44,730 - agent.ComputerAgent - INFO - LLM processing started with 1 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 1 messages\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m16:47:44 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m16:47:44 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:47:45 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:47:46,038 - agent.ComputerAgent - INFO - Computer: scroll({'scroll_y': 654, 'scroll_x': 0, 'x': 283, 'y': 664})\n", - "INFO:agent.ComputerAgent:Computer: scroll({'scroll_y': 654, 'scroll_x': 0, 'x': 283, 'y': 664})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 33%|█████████████---------------------------| 2420/7340 [81:28<165:38, 29.7 steps/min]\u001b[92m16:47:46 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:47:46 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/e2ffab0a-c998-4bbf-906b-d3aad0586220/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:47:47 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:47:47,983 - agent.ComputerAgent - INFO - Computer: click({'x': 585, 'y': 355})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 585, 'y': 355})\n", - "\u001b[92m16:47:47 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 33%|█████████████---------------------------| 2421/7340 [81:29<165:34, 29.7 steps/min]2025-08-11 16:47:48,672 - agent.ComputerAgent - INFO - Computer: click({'x': 962, 'y': 234})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 962, 'y': 234})\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:47:49,341 - agent.ComputerAgent - INFO - LLM processing started with 6 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 6 messages\n", - "\u001b[92m16:47:49 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m16:47:49 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 33%|█████████████---------------------------| 2422/7340 [81:31<165:31, 29.7 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:47:50,011 - agent.ComputerAgent - INFO - Computer: click({'x': 392, 'y': 275})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 392, 'y': 275})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:47:51,361 - agent.ComputerAgent - INFO - Agent: Taking a screenshot to see the current computer screen.\n", - "INFO:agent.ComputerAgent:Agent: Taking a screenshot to see the current computer screen.\n", - "2025-08-11 16:47:51,362 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'super'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'super'})\n", - " 33%|█████████████---------------------------| 2423/7340 [81:33<165:29, 29.7 steps/min]\u001b[92m16:47:51 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/3e4ea7d7-21a2-4b07-abd4-a3e280e44e0b/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:47:52,058 - agent.ComputerAgent - INFO - LLM processing started with 41 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 41 messages\n", - "\u001b[92m16:47:52 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:47:52,742 - agent.ComputerAgent - INFO - Computer: click({'x': 196, 'y': 237})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 196, 'y': 237})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:47:53 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 33%|█████████████---------------------------| 2425/7340 [81:35<165:21, 29.7 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:47:54 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 33%|█████████████---------------------------| 2426/7340 [81:36<165:17, 29.7 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/7e0b0038-3a97-4d93-8c5c-154cc0b95af9/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/029e3386-8f59-44a0-9dba-b14a4d9825ef/invoke \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:47:54 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:47:55,312 - agent.ComputerAgent - INFO - Computer: click({'x': 351, 'y': 294})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 351, 'y': 294})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/a39ee9df-d3ba-456a-95cf-3a11a826583b/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - "2025-08-11 16:47:55,965 - agent.ComputerAgent - INFO - LLM processing started with 42 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 42 messages\n", - "\u001b[92m16:47:56 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:47:57,620 - agent.ComputerAgent - INFO - Computer: wait({})\n", - "INFO:agent.ComputerAgent:Computer: wait({})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/d4054e85-5304-43a3-b6d7-128e302780cb/invoke \"HTTP/1.1 200 OK\"\n", - " 33%|█████████████---------------------------| 2427/7340 [81:39<165:17, 29.7 steps/min]\u001b[92m16:47:57 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:47:58,279 - agent.ComputerAgent - INFO - LLM processing started with 38 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 38 messages\n", - "\u001b[92m16:47:58 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:47:58,928 - agent.ComputerAgent - INFO - Computer: click({'x': 316, 'y': 101})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 316, 'y': 101})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0803e2c2-9de2-40ff-93da-cb49f156cbba/invoke \"HTTP/1.1 200 OK\"\n", - " 33%|█████████████---------------------------| 2429/7340 [81:40<165:08, 29.7 steps/min]2025-08-11 16:47:59,585 - agent.ComputerAgent - INFO - LLM processing started with 28 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 28 messages\n", - "\u001b[92m16:47:59 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:48:00,942 - agent.ComputerAgent - INFO - Computer: type({'text': ':q'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': ':q'})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:48:01 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:48:02,299 - agent.ComputerAgent - INFO - LLM processing started with 28 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 28 messages\n", - "\u001b[92m16:48:02 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6fcb07bb-6857-4888-82a0-1fd0dbf2d722/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/e5b48f23-7687-494c-b68c-ebdfc70d085f/invoke \"HTTP/1.1 200 OK\"\n", - " 33%|█████████████---------------------------| 2430/7340 [81:44<165:09, 29.7 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m16:48:03 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 33%|█████████████---------------------------| 2431/7340 [81:45<165:04, 29.7 steps/min]2025-08-11 16:48:03,692 - agent.ComputerAgent - INFO - LLM processing started with 10 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 10 messages\n", - "\u001b[92m16:48:03 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/3e4ea7d7-21a2-4b07-abd4-a3e280e44e0b/invoke \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:48:04,331 - agent.ComputerAgent - INFO - LLM processing started with 43 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 43 messages\n", - "\u001b[92m16:48:04 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 33%|█████████████---------------------------| 2431/7340 [81:46<165:07, 29.7 steps/min]\u001b[92m16:48:04 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:48:04,993 - agent.ComputerAgent - INFO - Computer: click({'x': 458, 'y': 422})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 458, 'y': 422})\n", - "2025-08-11 16:48:05,658 - agent.ComputerAgent - INFO - LLM processing started with 6 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 6 messages\n", - "\u001b[92m16:48:05 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/d4054e85-5304-43a3-b6d7-128e302780cb/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m16:48:05 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 33%|█████████████---------------------------| 2431/7340 [81:47<165:09, 29.7 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:48:07,064 - agent.ComputerAgent - INFO - Computer: click({'x': 474, 'y': 332})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 474, 'y': 332})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/81b23870-39ed-4649-9729-1d4809f713ec/invoke \"HTTP/1.1 200 OK\"\n", - " 33%|█████████████---------------------------| 2436/7340 [81:48<164:42, 29.8 steps/min]2025-08-11 16:48:07,712 - agent.ComputerAgent - INFO - LLM processing started with 10 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 10 messages\n", - "\u001b[92m16:48:07 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/475030e1-7ae3-4ced-91fb-2221d956a2ad/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:48:08,382 - agent.ComputerAgent - INFO - LLM processing started with 36 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 36 messages\n", - "\u001b[92m16:48:08 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/a46ee6f6-d167-47c4-ad83-e16b88450253/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/d4054e85-5304-43a3-b6d7-128e302780cb/close \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - " 33%|█████████████---------------------------| 2438/7340 [81:50<164:32, 29.8 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6195bb79-4eff-4d3b-8b67-f28a4e6a73fa/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:48:09,668 - agent.ComputerAgent - INFO - LLM processing started with 26 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 26 messages\n", - "\u001b[92m16:48:09 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: GET https://orchestration.hud.so/hud-gym/api/v1/gyms/OSWorld-Ubuntu \"HTTP/1.1 200 OK\"\n", - " 33%|█████████████---------------------------| 2438/7340 [81:51<164:35, 29.8 steps/min]2025-08-11 16:48:10,320 - agent.ComputerAgent - INFO - LLM processing started with 34 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 34 messages\n", - "\u001b[92m16:48:10 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/3e4ea7d7-21a2-4b07-abd4-a3e280e44e0b/invoke \"HTTP/1.1 200 OK\"\n", - " 33%|█████████████---------------------------| 2438/7340 [81:52<164:37, 29.8 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v1/environments/1473c3f2-39e1-4aff-8d55-0e23dc25a055/reset \"HTTP/1.1 200 OK\"\n", - " 33%|█████████████---------------------------| 2438/7340 [81:53<164:39, 29.8 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/ff8b808f-c3a6-4979-8f9a-c6a25905116c/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/e2ffab0a-c998-4bbf-906b-d3aad0586220/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:48:12,541 - agent.ComputerAgent - INFO - LLM processing started with 40 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 40 messages\n", - "\u001b[92m16:48:12 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:48:13,223 - agent.ComputerAgent - INFO - LLM processing started with 8 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 8 messages\n", - "\u001b[92m16:48:13 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 33%|█████████████---------------------------| 2438/7340 [81:54<164:42, 29.8 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/1473c3f2-39e1-4aff-8d55-0e23dc25a055/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:48:14,391 - agent.ComputerAgent - INFO - LLM processing started with 1 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 1 messages\n", - "\u001b[92m16:48:14 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 33%|█████████████---------------------------| 2438/7340 [81:56<164:44, 29.8 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/3e4ea7d7-21a2-4b07-abd4-a3e280e44e0b/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:48:15 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 33%|█████████████---------------------------| 2440/7340 [81:57<164:35, 29.8 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/3e4ea7d7-21a2-4b07-abd4-a3e280e44e0b/close \"HTTP/1.1 200 OK\"\n", - "Loading checkpoint shards: 0%| | 0/4 [00:005'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'WEEKDAY(B3;2)>5'})\n", - " 34%|█████████████---------------------------| 2477/7340 [83:44<164:25, 29.6 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:50:03 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6195bb79-4eff-4d3b-8b67-f28a4e6a73fa/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v1/environments/422a20c8-b318-46e4-9f06-d599c9ed261c/reset \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:50:04 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:50:04 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 34%|█████████████---------------------------| 2479/7340 [83:46<164:15, 29.6 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:50:05,091 - agent.ComputerAgent - INFO - Computer: click({'x': 351, 'y': 294})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 351, 'y': 294})\n", - "\u001b[92m16:50:05 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:50:05 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:50:05,754 - agent.ComputerAgent - INFO - LLM processing started with 40 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 40 messages\n", - "\u001b[92m16:50:05 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 34%|█████████████---------------------------| 2479/7340 [83:48<164:19, 29.6 steps/min]\u001b[92m16:50:06 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:50:06 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:50:07,118 - agent.ComputerAgent - INFO - Computer: drag({'path': [{'x': 471, 'y': 328}, {'x': 351, 'y': 709}]})\n", - "INFO:agent.ComputerAgent:Computer: drag({'path': [{'x': 471, 'y': 328}, {'x': 351, 'y': 709}]})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:50:07 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:50:07 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/422a20c8-b318-46e4-9f06-d599c9ed261c/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:50:08,416 - agent.ComputerAgent - INFO - Computer: click({'x': 268, 'y': 188})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 268, 'y': 188})\n", - "2025-08-11 16:50:09,045 - agent.ComputerAgent - INFO - LLM processing started with 1 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 1 messages\n", - "\u001b[92m16:50:09 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 34%|█████████████---------------------------| 2480/7340 [83:50<164:18, 29.6 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:50:09,730 - agent.ComputerAgent - INFO - LLM processing started with 8 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 8 messages\n", - "\u001b[92m16:50:09 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m16:50:09 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0803e2c2-9de2-40ff-93da-cb49f156cbba/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:50:10,446 - agent.ComputerAgent - INFO - Computer: double_click({'x': 618, 'y': 483})\n", - "INFO:agent.ComputerAgent:Computer: double_click({'x': 618, 'y': 483})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/e5b48f23-7687-494c-b68c-ebdfc70d085f/invoke \"HTTP/1.1 200 OK\"\n", - " 34%|█████████████---------------------------| 2482/7340 [83:52<164:09, 29.6 steps/min]2025-08-11 16:50:11,451 - agent.ComputerAgent - INFO - LLM processing started with 34 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 34 messages\n", - "\u001b[92m16:50:11 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/f73836c4-d8e3-425b-a750-f2319c89164e/invoke \"HTTP/1.1 200 OK\"\n", - " 34%|█████████████---------------------------| 2483/7340 [83:53<164:05, 29.6 steps/min]2025-08-11 16:50:12,123 - agent.ComputerAgent - INFO - LLM processing started with 14 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 14 messages\n", - "\u001b[92m16:50:12 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:50:13,563 - agent.ComputerAgent - INFO - LLM processing started with 12 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 12 messages\n", - "\u001b[92m16:50:13 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 34%|█████████████---------------------------| 2483/7340 [83:55<164:09, 29.6 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v1/environments/514e0362-c0b3-4216-989f-d260ec405efb/reset \"HTTP/1.1 200 OK\"\n", - " 34%|█████████████---------------------------| 2483/7340 [83:56<164:11, 29.6 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/81b23870-39ed-4649-9729-1d4809f713ec/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:50:15,740 - agent.ComputerAgent - INFO - LLM processing started with 18 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 18 messages\n", - "\u001b[92m16:50:15 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 34%|█████████████---------------------------| 2483/7340 [83:57<164:13, 29.6 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:50:17,970 - agent.ComputerAgent - INFO - Agent: Taking a screenshot to see the current computer screen.\n", - "INFO:agent.ComputerAgent:Agent: Taking a screenshot to see the current computer screen.\n", - "2025-08-11 16:50:17,970 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'win+e'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'win+e'})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/514e0362-c0b3-4216-989f-d260ec405efb/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/a39ee9df-d3ba-456a-95cf-3a11a826583b/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/1473c3f2-39e1-4aff-8d55-0e23dc25a055/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/e2ffab0a-c998-4bbf-906b-d3aad0586220/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - " 34%|█████████████---------------------------| 2483/7340 [84:00<164:19, 29.6 steps/min]\u001b[92m16:50:18 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:50:19,965 - agent.ComputerAgent - INFO - Computer: type({'text': 'Orchis theme gnome-look'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'Orchis theme gnome-look'})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:50:20 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:50:21,285 - agent.ComputerAgent - INFO - LLM processing started with 6 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 6 messages\n", - "\u001b[92m16:50:21 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m16:50:21 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 34%|█████████████---------------------------| 2483/7340 [84:03<164:25, 29.5 steps/min]\u001b[92m16:50:22 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:50:22,607 - agent.ComputerAgent - INFO - LLM processing started with 18 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 18 messages\n", - "\u001b[92m16:50:22 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:50:23,283 - agent.ComputerAgent - INFO - Computer: scroll({'scroll_y': 626, 'scroll_x': 0, 'x': 588, 'y': 446})\n", - "INFO:agent.ComputerAgent:Computer: scroll({'scroll_y': 626, 'scroll_x': 0, 'x': 588, 'y': 446})\n", - "\u001b[92m16:50:23 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v1/environments/daac505f-9423-4b29-b11c-9b23c5c9e3ee/reset \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:50:23 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:50:23,909 - agent.ComputerAgent - INFO - Agent: Taking a screenshot to see the current computer screen.\n", - "INFO:agent.ComputerAgent:Agent: Taking a screenshot to see the current computer screen.\n", - "2025-08-11 16:50:23,909 - agent.ComputerAgent - INFO - Computer: double_click({'x': 989, 'y': 713})\n", - "INFO:agent.ComputerAgent:Computer: double_click({'x': 989, 'y': 713})\n", - " 34%|█████████████---------------------------| 2484/7340 [84:05<164:23, 29.5 steps/min]2025-08-11 16:50:24,578 - agent.ComputerAgent - INFO - Computer: click({'x': 412, 'y': 128})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 412, 'y': 128})\n", - "2025-08-11 16:50:25,256 - agent.ComputerAgent - INFO - LLM processing started with 10 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 10 messages\n", - "\u001b[92m16:50:25 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 34%|█████████████---------------------------| 2486/7340 [84:07<164:14, 29.6 steps/min]2025-08-11 16:50:25,924 - agent.ComputerAgent - INFO - LLM processing started with 34 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 34 messages\n", - "\u001b[92m16:50:25 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:50:26,594 - agent.ComputerAgent - INFO - LLM processing started with 1 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 1 messages\n", - "\u001b[92m16:50:26 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - " 34%|█████████████---------------------------| 2487/7340 [84:09<164:12, 29.6 steps/min]\u001b[92m16:50:27 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m16:50:27 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:50:28,422 - agent.ComputerAgent - INFO - Computer: double_click({'x': 960, 'y': 713})\n", - "INFO:agent.ComputerAgent:Computer: double_click({'x': 960, 'y': 713})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:50:29,722 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'win'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'win'})\n", - " 34%|█████████████---------------------------| 2487/7340 [84:11<164:17, 29.5 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/daac505f-9423-4b29-b11c-9b23c5c9e3ee/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:50:30,365 - agent.ComputerAgent - INFO - LLM processing started with 1 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 1 messages\n", - "\u001b[92m16:50:30 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/fed9747f-6005-4d29-b83e-afc7934c0ff5/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:50:31 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/e5b48f23-7687-494c-b68c-ebdfc70d085f/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - " 34%|█████████████---------------------------| 2489/7340 [84:13<164:09, 29.6 steps/min]\u001b[92m16:50:31 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/2b43eb21-4025-495a-8c66-358bfcac034b/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m16:50:32 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/029e3386-8f59-44a0-9dba-b14a4d9825ef/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:50:33,742 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'esc'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'esc'})\n", - "\u001b[92m16:50:33 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:50:33 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 34%|█████████████---------------------------| 2489/7340 [84:16<164:14, 29.5 steps/min]\u001b[92m16:50:34 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:50:35,048 - agent.ComputerAgent - INFO - LLM processing started with 6 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 6 messages\n", - "\u001b[92m16:50:35 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:50:35,696 - agent.ComputerAgent - INFO - Computer: move({'x': 887, 'y': 167})\n", - "INFO:agent.ComputerAgent:Computer: move({'x': 887, 'y': 167})\n", - "2025-08-11 16:50:36,379 - agent.ComputerAgent - INFO - Computer: click({'x': 260, 'y': 101})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 260, 'y': 101})\n", - "\u001b[92m16:50:36 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:50:37,041 - agent.ComputerAgent - INFO - Computer: click({'x': 537, 'y': 304})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 537, 'y': 304})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:50:38,373 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'right'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'right'})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/f73836c4-d8e3-425b-a750-f2319c89164e/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/422a20c8-b318-46e4-9f06-d599c9ed261c/invoke \"HTTP/1.1 200 OK\"\n", - " 34%|█████████████---------------------------| 2490/7340 [84:20<164:16, 29.5 steps/min]\u001b[92m16:50:38 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:50:39,696 - agent.ComputerAgent - INFO - Computer: type({'text': 'Mumbai'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'Mumbai'})\n", - "2025-08-11 16:50:40,392 - agent.ComputerAgent - INFO - Computer: click({'x': 746, 'y': 651})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 746, 'y': 651})\n", - " 34%|█████████████---------------------------| 2494/7340 [84:22<163:56, 29.6 steps/min]2025-08-11 16:50:41,039 - agent.ComputerAgent - INFO - LLM processing started with 8 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 8 messages\n", - "\u001b[92m16:50:41 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/a46ee6f6-d167-47c4-ad83-e16b88450253/invoke \"HTTP/1.1 502 Bad Gateway\"\n", - "2025-08-11 16:50:41,701 - agent.ComputerAgent - INFO - LLM processing started with 10 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 10 messages\n", - "\u001b[92m16:50:41 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:50:42,355 - agent.ComputerAgent - INFO - LLM processing started with 16 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 16 messages\n", - "\u001b[92m16:50:42 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 34%|█████████████---------------------------| 2496/7340 [84:24<163:47, 29.6 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:50:43,043 - agent.ComputerAgent - INFO - LLM processing started with 14 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 14 messages\n", - "\u001b[92m16:50:43 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 34%|█████████████---------------------------| 2496/7340 [84:25<163:49, 29.6 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:50:45,382 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ctrl+home'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ctrl+home'})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0803e2c2-9de2-40ff-93da-cb49f156cbba/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/1473c3f2-39e1-4aff-8d55-0e23dc25a055/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/ff8b808f-c3a6-4979-8f9a-c6a25905116c/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/81b23870-39ed-4649-9729-1d4809f713ec/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/e2ffab0a-c998-4bbf-906b-d3aad0586220/invoke \"HTTP/1.1 200 OK\"\n", - " 34%|█████████████---------------------------| 2496/7340 [84:27<163:53, 29.6 steps/min]2025-08-11 16:50:46,040 - agent.ComputerAgent - INFO - LLM processing started with 20 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 20 messages\n", - "\u001b[92m16:50:46 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:50:46,708 - agent.ComputerAgent - INFO - LLM processing started with 20 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 20 messages\n", - "\u001b[92m16:50:46 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:50:47,380 - agent.ComputerAgent - INFO - LLM processing started with 8 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 8 messages\n", - "\u001b[92m16:50:47 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 34%|█████████████---------------------------| 2496/7340 [84:29<163:57, 29.5 steps/min]2025-08-11 16:50:48,016 - agent.ComputerAgent - INFO - LLM processing started with 36 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 36 messages\n", - "\u001b[92m16:50:48 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:50:49,339 - agent.ComputerAgent - INFO - Agent: Taking a screenshot to see the current computer screen.\n", - "INFO:agent.ComputerAgent:Agent: Taking a screenshot to see the current computer screen.\n", - "2025-08-11 16:50:49,340 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ctrl+f'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ctrl+f'})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/a46ee6f6-d167-47c4-ad83-e16b88450253/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6195bb79-4eff-4d3b-8b67-f28a4e6a73fa/invoke \"HTTP/1.1 200 OK\"\n", - " 34%|█████████████---------------------------| 2496/7340 [84:31<164:01, 29.5 steps/min]2025-08-11 16:50:49,998 - agent.ComputerAgent - INFO - LLM processing started with 12 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 12 messages\n", - "\u001b[92m16:50:50 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:50:50 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:50:51,356 - agent.ComputerAgent - INFO - LLM processing started with 6 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 6 messages\n", - "\u001b[92m16:50:51 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:50:52 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 34%|█████████████---------------------------| 2496/7340 [84:34<164:08, 29.5 steps/min]\u001b[92m16:50:52 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:50:52 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m16:50:53 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:50:54,063 - agent.ComputerAgent - INFO - Computer: click({'button': 'left', 'x': 398, 'y': 89})\n", - "INFO:agent.ComputerAgent:Computer: click({'button': 'left', 'x': 398, 'y': 89})\n", - "\u001b[92m16:50:54 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:50:54 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:50:54,739 - agent.ComputerAgent - INFO - Computer: double_click({'x': 960, 'y': 713})\n", - "INFO:agent.ComputerAgent:Computer: double_click({'x': 960, 'y': 713})\n", - " 34%|█████████████---------------------------| 2496/7340 [84:36<164:11, 29.5 steps/min]2025-08-11 16:50:55,391 - agent.ComputerAgent - INFO - Computer: click({'x': 793, 'y': 41})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 793, 'y': 41})\n", - "\u001b[92m16:50:55 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:50:56,056 - agent.ComputerAgent - INFO - LLM processing started with 42 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 42 messages\n", - "\u001b[92m16:50:56 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:50:56,694 - agent.ComputerAgent - INFO - Computer: click({'x': 17, 'y': 427})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 17, 'y': 427})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:50:57 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 34%|█████████████---------------------------| 2498/7340 [84:39<164:06, 29.5 steps/min]\u001b[92m16:50:58 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:50:58,732 - agent.ComputerAgent - INFO - LLM processing started with 32 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 32 messages\n", - "\u001b[92m16:50:58 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m16:50:58 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:50:59,814 - agent.ComputerAgent - INFO - Computer: click({'x': 318, 'y': 237})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 318, 'y': 237})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:50:59 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:51:00 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:51:02,000 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'right'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'right'})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/029e3386-8f59-44a0-9dba-b14a4d9825ef/invoke \"HTTP/1.1 200 OK\"\n", - " 34%|█████████████---------------------------| 2500/7340 [84:43<164:02, 29.5 steps/min]2025-08-11 16:51:02,679 - agent.ComputerAgent - INFO - Agent: Taking a screenshot to see the current computer screen.\n", - "INFO:agent.ComputerAgent:Agent: Taking a screenshot to see the current computer screen.\n", - "2025-08-11 16:51:02,680 - agent.ComputerAgent - INFO - Computer: click({'x': 95, 'y': 185})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 95, 'y': 185})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:51:04,082 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ctrl+home'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ctrl+home'})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:51:04 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:51:04 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 34%|█████████████---------------------------| 2502/7340 [84:46<163:55, 29.5 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:51:05,471 - agent.ComputerAgent - INFO - LLM processing started with 10 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 10 messages\n", - "\u001b[92m16:51:05 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m16:51:05 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m16:51:05 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 16:51:06,153 - agent.ComputerAgent - INFO - Computer: double_click({'x': 615, 'y': 483})\n", - "INFO:agent.ComputerAgent:Computer: double_click({'x': 615, 'y': 483})\n", - "\u001b[92m16:51:06 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 34%|█████████████---------------------------| 2503/7340 [84:47<163:52, 29.5 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 16:51:06,824 - agent.ComputerAgent - INFO - Computer: drag({'path': [{'x': 483, 'y': 328}, {'x': 411, 'y': 711}]})\n", - "INFO:agent.ComputerAgent:Computer: drag({'path': [{'x': 483, 'y': 328}, {'x': 411, 'y': 711}]})\n", - " 34%|█████████████---------------------------| 2504/7340 [84:48<163:48, 29.5 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/029e3386-8f59-44a0-9dba-b14a4d9825ef/close \"HTTP/1.1 200 OK\"\n", - " 34%|█████████████---------------------------| 2505/7340 [84:49<163:44, 29.5 steps/min]INFO:httpx:HTTP Request: GET https://orchestration.hud.so/hud-gym/api/v1/gyms/OSWorld-Ubuntu \"HTTP/1.1 200 OK\"\n", - " 34%|█████████████---------------------------| 2505/7340 [84:50<163:46, 29.5 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/e5b48f23-7687-494c-b68c-ebdfc70d085f/invoke \"HTTP/1.1 200 OK\"\n", - " 34%|█████████████---------------------------| 2505/7340 [84:51<163:48, 29.5 steps/min]2025-08-11 16:51:11,251 - agent.ComputerAgent - INFO - LLM processing started with 18 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 18 messages\n", - "\u001b[92m16:51:11 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/2b43eb21-4025-495a-8c66-358bfcac034b/invoke \"HTTP/1.1 200 OK\"\n", - " 34%|█████████████---------------------------| 2505/7340 [84:53<163:50, 29.5 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/daac505f-9423-4b29-b11c-9b23c5c9e3ee/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/f73836c4-d8e3-425b-a750-f2319c89164e/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/81b23870-39ed-4649-9729-1d4809f713ec/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/422a20c8-b318-46e4-9f06-d599c9ed261c/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/1473c3f2-39e1-4aff-8d55-0e23dc25a055/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:51:11,946 - agent.ComputerAgent - INFO - LLM processing started with 6 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 6 messages\n", - "\u001b[92m16:51:11 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:51:12,584 - agent.ComputerAgent - INFO - LLM processing started with 22 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 22 messages\n", - "\u001b[92m16:51:12 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/e2ffab0a-c998-4bbf-906b-d3aad0586220/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/a39ee9df-d3ba-456a-95cf-3a11a826583b/invoke \"HTTP/1.1 200 OK\"\n", - " 34%|█████████████---------------------------| 2505/7340 [84:54<163:52, 29.5 steps/min]2025-08-11 16:51:13,334 - agent.ComputerAgent - INFO - LLM processing started with 12 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 12 messages\n", - "\u001b[92m16:51:13 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:51:13,968 - agent.ComputerAgent - INFO - LLM processing started with 22 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 22 messages\n", - "\u001b[92m16:51:13 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 34%|█████████████---------------------------| 2505/7340 [84:55<163:55, 29.5 steps/min]2025-08-11 16:51:14,650 - agent.ComputerAgent - INFO - LLM processing started with 14 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 14 messages\n", - "\u001b[92m16:51:14 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:51:15,336 - agent.ComputerAgent - INFO - LLM processing started with 36 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 36 messages\n", - "\u001b[92m16:51:15 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 34%|█████████████---------------------------| 2505/7340 [84:57<163:58, 29.5 steps/min]2025-08-11 16:51:15,998 - agent.ComputerAgent - INFO - LLM processing started with 16 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 16 messages\n", - "\u001b[92m16:51:16 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 16:51:16,677 - agent.ComputerAgent - INFO - LLM processing started with 10 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 10 messages\n", - "\u001b[92m16:51:16 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 34%|█████████████---------------------------| 2505/7340 [84:58<164:00, 29.5 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 34%|█████████████---------------------------| 2505/7340 [84:59<164:02, 29.5 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v1/environments/c3518cd0-0df6-44e9-8393-0c62002bc984/reset \"HTTP/1.1 200 OK\"\n", - " 34%|█████████████---------------------------| 2505/7340 [85:00<164:04, 29.5 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:51:19 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 16:51:20,733 - agent.ComputerAgent - INFO - Computer: type({'text': 'Stockholm'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'Stockholm'})\n", - " 34%|█████████████---------------------------| 2505/7340 [85:02<164:08, 29.5 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m16:51:21 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Loading checkpoint shards: 0%| | 0/4 [00:00 Slide Pane to toggle it back on.\n", - "- You can resize it by dragging its right edge. If you lose the right-side Properties panel, use View > Sidebar.\n", - "\n", - "Task completed\n", - "INFO:agent.ComputerAgent:Agent: I restored the Slides panel on the left in your LibreOffice Impress.\n", - "\n", - "If it disappears again:\n", - "- Go to the top menu: View > Slide Pane to toggle it back on.\n", - "- You can resize it by dragging its right edge. If you lose the right-side Properties panel, use View > Sidebar.\n", - "\n", - "Task completed\n", - "2025-08-11 17:05:27,005 - agent.ComputerAgent - INFO - Total usage:\n", - " - completion_tokens: 712\n", - " - prompt_tokens: 7355\n", - " - total_tokens: 8067\n", - " - completion_tokens_details:\n", - " - accepted_prediction_tokens: 0\n", - " - audio_tokens: 0\n", - " - reasoning_tokens: 640\n", - " - rejected_prediction_tokens: 0\n", - " - prompt_tokens_details:\n", - " - audio_tokens: 0\n", - " - cached_tokens: 0\n", - " - response_cost: $0.0163\n", - "INFO:agent.ComputerAgent:Total usage:\n", - " - completion_tokens: 712\n", - " - prompt_tokens: 7355\n", - " - total_tokens: 8067\n", - " - completion_tokens_details:\n", - " - accepted_prediction_tokens: 0\n", - " - audio_tokens: 0\n", - " - reasoning_tokens: 640\n", - " - rejected_prediction_tokens: 0\n", - " - prompt_tokens_details:\n", - " - audio_tokens: 0\n", - " - cached_tokens: 0\n", - " - response_cost: $0.0163\n", - " 38%|███████████████-------------------------| 2809/7340 [99:08<159:55, 28.3 steps/min]\u001b[92m17:05:27 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6f141a0f-f4b0-4f99-b4c4-5217b268c96b/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:05:27 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v1/environments/025be48d-d757-4973-8c17-e42b8f6814b0/reset \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/d2c8050e-87aa-487a-9555-884be2298ade/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:05:28 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:05:28 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m17:05:29 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:05:30,349 - agent.ComputerAgent - INFO - Computer: click({'x': 87, 'y': 274})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 87, 'y': 274})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9b6fc8c3-534a-4e7d-9a9b-4c6bad0e0619/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Loading checkpoint shards: 0%| | 0/4 [00:00 Appearance > Mode = Light\n", - "\n", - "This forces Chrome to use a light theme regardless of your device theme.\n", - "\n", - "If any websites still appear dark, it could be due to:\n", - "- A dark-mode extension (e.g., Dark Reader). Disable it under Extensions.\n", - "- The experimental flag “Auto Dark Mode for Web Contents” being enabled. Visit chrome://flags and ensure it’s Disabled.\n", - "\n", - "Task completed.\n", - "INFO:agent.ComputerAgent:Agent: I’ve turned off Dark Mode in Google Chrome by setting the browser’s appearance to Light:\n", - "- Settings > Appearance > Mode = Light\n", - "\n", - "This forces Chrome to use a light theme regardless of your device theme.\n", - "\n", - "If any websites still appear dark, it could be due to:\n", - "- A dark-mode extension (e.g., Dark Reader). Disable it under Extensions.\n", - "- The experimental flag “Auto Dark Mode for Web Contents” being enabled. Visit chrome://flags and ensure it’s Disabled.\n", - "\n", - "Task completed.\n", - "2025-08-11 17:10:01,595 - agent.ComputerAgent - INFO - Total usage:\n", - " - completion_tokens: 876\n", - " - prompt_tokens: 8770\n", - " - total_tokens: 9646\n", - " - completion_tokens_details:\n", - " - accepted_prediction_tokens: 0\n", - " - audio_tokens: 0\n", - " - reasoning_tokens: 768\n", - " - rejected_prediction_tokens: 0\n", - " - prompt_tokens_details:\n", - " - audio_tokens: 0\n", - " - cached_tokens: 0\n", - " - response_cost: $0.0197\n", - "INFO:agent.ComputerAgent:Total usage:\n", - " - completion_tokens: 876\n", - " - prompt_tokens: 8770\n", - " - total_tokens: 9646\n", - " - completion_tokens_details:\n", - " - accepted_prediction_tokens: 0\n", - " - audio_tokens: 0\n", - " - reasoning_tokens: 768\n", - " - rejected_prediction_tokens: 0\n", - " - prompt_tokens_details:\n", - " - audio_tokens: 0\n", - " - cached_tokens: 0\n", - " - response_cost: $0.0197\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:10:02 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:10:02,937 - agent.ComputerAgent - INFO - Computer: click({'x': 400, 'y': 77})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 400, 'y': 77})\n", - "2025-08-11 17:10:03,606 - agent.ComputerAgent - INFO - Computer: double_click({'x': 476, 'y': 392})\n", - "INFO:agent.ComputerAgent:Computer: double_click({'x': 476, 'y': 392})\n", - "\u001b[92m17:10:03 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:10:04,225 - agent.ComputerAgent - INFO - LLM processing started with 6 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 6 messages\n", - " 40%|████████████████------------------------| 2945/7340 [103:45<154:51, 28.4 steps/min]\u001b[92m17:10:04 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 17:10:04,897 - agent.ComputerAgent - INFO - Computer: click({'x': 986, 'y': 578})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 986, 'y': 578})\n", - "\u001b[92m17:10:04 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m17:10:05 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 40%|████████████████------------------------| 2948/7340 [103:46<154:37, 28.4 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:10:06 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m17:10:06 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:10:06,706 - agent.ComputerAgent - INFO - Computer: drag({'path': [{'x': 143, 'y': 188}, {'x': 147, 'y': 229}]})\n", - "INFO:agent.ComputerAgent:Computer: drag({'path': [{'x': 143, 'y': 188}, {'x': 147, 'y': 229}]})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:10:06 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m17:10:07 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6f141a0f-f4b0-4f99-b4c4-5217b268c96b/invoke \"HTTP/1.1 200 OK\"\n", - " 40%|████████████████------------------------| 2949/7340 [103:49<154:35, 28.4 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:10:08,028 - agent.ComputerAgent - INFO - Computer: double_click({'x': 730, 'y': 648})\n", - "INFO:agent.ComputerAgent:Computer: double_click({'x': 730, 'y': 648})\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 40%|████████████████------------------------| 2950/7340 [103:50<154:31, 28.4 steps/min]\u001b[92m17:10:08 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:10:09,210 - agent.ComputerAgent - INFO - Computer: click({'x': 982, 'y': 167})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 982, 'y': 167})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6f141a0f-f4b0-4f99-b4c4-5217b268c96b/invoke \"HTTP/1.1 200 OK\"\n", - " 40%|████████████████------------------------| 2960/7340 [103:51<153:40, 28.5 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/091ec079-295e-4528-bad5-f34604d013c2/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/085317e9-3b47-437e-8528-0a0fc0e6e688/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 17:10:10,343 - agent.ComputerAgent - INFO - LLM processing started with 10 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 10 messages\n", - "\u001b[92m17:10:10 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9b6fc8c3-534a-4e7d-9a9b-4c6bad0e0619/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9f1aa688-383a-44cc-9959-87e1e32dd55c/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6f141a0f-f4b0-4f99-b4c4-5217b268c96b/close \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/55d96e84-fdd8-4854-8eca-195f1a84dbc3/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/aa0172ad-f4a9-4f1a-9e06-2d510775dbd0/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/1f48e361-2592-41ee-8818-d6e9174fe800/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 17:10:11,005 - agent.ComputerAgent - INFO - LLM processing started with 8 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 8 messages\n", - "\u001b[92m17:10:11 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/797f1798-0199-4d66-a503-1c5a8d488911/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:10:12 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/88706cb5-896e-4bf5-8b52-5df252945e00/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 40%|████████████████------------------------| 2961/7340 [103:54<153:39, 28.5 steps/min]2025-08-11 17:10:12,983 - agent.ComputerAgent - INFO - LLM processing started with 6 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 6 messages\n", - "\u001b[92m17:10:12 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:10:13 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/ecc77db9-1735-4a1a-ab51-39c4517489fb/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6b818afb-eeae-43f9-b1ff-7f82844997e2/invoke \"HTTP/1.1 200 OK\"\n", - "Loading checkpoint shards: 0%| | 0/4 [00:00 Options > LibreOffice Impress > General: unchecked “Enable Presenter Console,” then applied and saved.\n", - "\n", - "How to choose which single monitor shows the slideshow (do this once per machine/setup):\n", - "- Slide Show > Slide Show Settings…\n", - "- Under Multiple displays, set “Presentation display” to the monitor you want (Display 1 or Display 2) and keep Presentation mode as “Full screen.”\n", - "- Click OK.\n", - "\n", - "Result:\n", - "- When you start the slideshow, it will fill only the selected monitor.\n", - "- The second monitor will remain free for other work, and the “Current/Next slide” presenter view will no longer appear.\n", - "\n", - "Task completed.\n", - "INFO:agent.ComputerAgent:Agent: I configured LibreOffice Impress to use only one monitor for the slideshow and to disable the Presenter Console.\n", - "\n", - "What I changed:\n", - "- Tools > Options > LibreOffice Impress > General: unchecked “Enable Presenter Console,” then applied and saved.\n", - "\n", - "How to choose which single monitor shows the slideshow (do this once per machine/setup):\n", - "- Slide Show > Slide Show Settings…\n", - "- Under Multiple displays, set “Presentation display” to the monitor you want (Display 1 or Display 2) and keep Presentation mode as “Full screen.”\n", - "- Click OK.\n", - "\n", - "Result:\n", - "- When you start the slideshow, it will fill only the selected monitor.\n", - "- The second monitor will remain free for other work, and the “Current/Next slide” presenter view will no longer appear.\n", - "\n", - "Task completed.\n", - "2025-08-11 17:13:46,540 - agent.ComputerAgent - INFO - Total usage:\n", - " - completion_tokens: 1315\n", - " - prompt_tokens: 13574\n", - " - total_tokens: 14889\n", - " - completion_tokens_details:\n", - " - accepted_prediction_tokens: 0\n", - " - audio_tokens: 0\n", - " - reasoning_tokens: 1152\n", - " - rejected_prediction_tokens: 0\n", - " - prompt_tokens_details:\n", - " - audio_tokens: 0\n", - " - cached_tokens: 9472\n", - " - response_cost: $0.0195\n", - "INFO:agent.ComputerAgent:Total usage:\n", - " - completion_tokens: 1315\n", - " - prompt_tokens: 13574\n", - " - total_tokens: 14889\n", - " - completion_tokens_details:\n", - " - accepted_prediction_tokens: 0\n", - " - audio_tokens: 0\n", - " - reasoning_tokens: 1152\n", - " - rejected_prediction_tokens: 0\n", - " - prompt_tokens_details:\n", - " - audio_tokens: 0\n", - " - cached_tokens: 9472\n", - " - response_cost: $0.0195\n", - " 42%|████████████████------------------------| 3054/7340 [107:28<150:49, 28.4 steps/min]2025-08-11 17:13:47,229 - agent.ComputerAgent - INFO - Computer: click({'x': 969, 'y': 218})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 969, 'y': 218})\n", - "2025-08-11 17:13:47,886 - agent.ComputerAgent - INFO - Computer: double_click({'x': 205, 'y': 214})\n", - "INFO:agent.ComputerAgent:Computer: double_click({'x': 205, 'y': 214})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:13:48 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m17:13:49 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:13:50,419 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ctrl+alt+t'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ctrl+alt+t'})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - " 42%|████████████████------------------------| 3055/7340 [107:32<150:50, 28.4 steps/min]\u001b[92m17:13:51 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m17:13:51 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m17:13:51 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:13:51,700 - agent.ComputerAgent - INFO - LLM processing started with 8 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 8 messages\n", - "\u001b[92m17:13:51 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 17:13:52,387 - agent.ComputerAgent - INFO - Computer: click({'x': 954, 'y': 232})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 954, 'y': 232})\n", - "2025-08-11 17:13:53,035 - agent.ComputerAgent - INFO - Computer: click({'x': 589, 'y': 143})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 589, 'y': 143})\n", - "\u001b[92m17:13:53 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 42%|████████████████------------------------| 3057/7340 [107:34<150:43, 28.4 steps/min]2025-08-11 17:13:53,673 - agent.ComputerAgent - INFO - Computer: scroll({'scroll_y': 660, 'scroll_x': 0, 'x': 658, 'y': 467})\n", - "INFO:agent.ComputerAgent:Computer: scroll({'scroll_y': 660, 'scroll_x': 0, 'x': 658, 'y': 467})\n", - " 42%|████████████████------------------------| 3059/7340 [107:35<150:34, 28.4 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/1f48e361-2592-41ee-8818-d6e9174fe800/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9b6fc8c3-534a-4e7d-9a9b-4c6bad0e0619/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:13:55 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 42%|████████████████------------------------| 3060/7340 [107:37<150:31, 28.4 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m17:13:55 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:13:56,551 - agent.ComputerAgent - INFO - Computer: click({'x': 660, 'y': 104})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 660, 'y': 104})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/1f48e361-2592-41ee-8818-d6e9174fe800/invoke \"HTTP/1.1 200 OK\"\n", - " 42%|████████████████------------------------| 3060/7340 [107:38<150:33, 28.4 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/1f48e361-2592-41ee-8818-d6e9174fe800/close \"HTTP/1.1 200 OK\"\n", - " 42%|████████████████------------------------| 3063/7340 [107:39<150:19, 28.5 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/025be48d-d757-4973-8c17-e42b8f6814b0/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/afb4e623-39bf-4f23-ac18-6c4a71f53c62/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 17:13:58,853 - agent.ComputerAgent - INFO - LLM processing started with 32 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 32 messages\n", - "\u001b[92m17:13:58 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/085317e9-3b47-437e-8528-0a0fc0e6e688/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9f1aa688-383a-44cc-9959-87e1e32dd55c/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6bacb467-6eb5-4ead-ac71-a185d2fa5e80/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/55d96e84-fdd8-4854-8eca-195f1a84dbc3/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: GET https://orchestration.hud.so/hud-gym/api/v1/gyms/OSWorld-Ubuntu \"HTTP/1.1 200 OK\"\n", - " 42%|████████████████------------------------| 3063/7340 [107:40<150:21, 28.4 steps/min]2025-08-11 17:13:59,510 - agent.ComputerAgent - INFO - LLM processing started with 20 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 20 messages\n", - "\u001b[92m17:13:59 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 17:14:00,189 - agent.ComputerAgent - INFO - LLM processing started with 28 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 28 messages\n", - "\u001b[92m17:14:00 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 17:14:00,831 - agent.ComputerAgent - INFO - LLM processing started with 36 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 36 messages\n", - "\u001b[92m17:14:00 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/aa0172ad-f4a9-4f1a-9e06-2d510775dbd0/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 42%|████████████████------------------------| 3063/7340 [107:42<150:23, 28.4 steps/min]2025-08-11 17:14:01,477 - agent.ComputerAgent - INFO - LLM processing started with 20 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 20 messages\n", - "\u001b[92m17:14:01 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 17:14:02,169 - agent.ComputerAgent - INFO - LLM processing started with 22 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 22 messages\n", - "\u001b[92m17:14:02 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/f0190121-650c-4779-b26d-2480f313dc84/invoke \"HTTP/1.1 200 OK\"\n", - " 42%|████████████████------------------------| 3063/7340 [107:43<150:25, 28.4 steps/min]2025-08-11 17:14:02,841 - agent.ComputerAgent - INFO - LLM processing started with 24 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 24 messages\n", - "\u001b[92m17:14:02 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 17:14:03,496 - agent.ComputerAgent - INFO - LLM processing started with 26 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 26 messages\n", - "\u001b[92m17:14:03 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 42%|████████████████------------------------| 3063/7340 [107:45<150:27, 28.4 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:14:04 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:14:04 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:14:06,224 - agent.ComputerAgent - INFO - Computer: type({'text': 'conda create -n hf python=3.11 --override-channels -c conda-forge -y\\n'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'conda create -n hf python=3.11 --override-channels -c conda-forge -y\\n'})\n", - " 42%|████████████████------------------------| 3064/7340 [107:53<150:33, 28.4 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/091ec079-295e-4528-bad5-f34604d013c2/invoke \"HTTP/1.1 200 OK\"\n", - "Loading checkpoint shards: 50%|█████ | 2/4 [00:03<00:03, 1.58s/it]2025-08-11 17:14:12,505 - agent.ComputerAgent - INFO - LLM processing started with 28 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 28 messages\n", - "\u001b[92m17:14:12 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 42%|████████████████------------------------| 3064/7340 [107:55<150:36, 28.4 steps/min]\u001b[92m17:14:13 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Loading checkpoint shards: 100%|██████████| 4/4 [00:05<00:00, 1.32s/it]\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:14:13 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m17:14:14 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:14:15,999 - agent.ComputerAgent - INFO - Computer: type({'text': 'spider-man toys kids'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'spider-man toys kids'})\n", - " 42%|████████████████------------------------| 3064/7340 [107:57<150:40, 28.4 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:14:16 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m17:14:16 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:14:17,286 - agent.ComputerAgent - INFO - Computer: click({'button': 'right', 'x': 512, 'y': 384})\n", - "INFO:agent.ComputerAgent:Computer: click({'button': 'right', 'x': 512, 'y': 384})\n", - "\u001b[92m17:14:17 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m17:14:17 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m17:14:17 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:14:17,916 - agent.ComputerAgent - INFO - Computer: click({'x': 175, 'y': 183})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 175, 'y': 183})\n", - " 42%|████████████████------------------------| 3065/7340 [107:59<150:37, 28.4 steps/min]2025-08-11 17:14:18,581 - agent.ComputerAgent - INFO - Computer: click({'x': 730, 'y': 275})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 730, 'y': 275})\n", - "2025-08-11 17:14:19,257 - agent.ComputerAgent - INFO - Computer: click({'x': 125, 'y': 182})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 125, 'y': 182})\n", - "\u001b[92m17:14:19 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m17:14:19 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:14:19,937 - agent.ComputerAgent - INFO - Computer: click({'x': 184, 'y': 178})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 184, 'y': 178})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:14:20 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 42%|████████████████------------------------| 3067/7340 [108:02<150:31, 28.4 steps/min]2025-08-11 17:14:21,216 - agent.ComputerAgent - INFO - Computer: double_click({'x': 757, 'y': 644})\n", - "INFO:agent.ComputerAgent:Computer: double_click({'x': 757, 'y': 644})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m17:14:21 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:14:21 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:14:22 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 42%|████████████████------------------------| 3070/7340 [108:04<150:19, 28.4 steps/min]\u001b[92m17:14:23 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:14:23,849 - agent.ComputerAgent - INFO - Computer: click({'x': 318, 'y': 59})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 318, 'y': 59})\n", - "\u001b[92m17:14:23 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:14:25,159 - agent.ComputerAgent - INFO - Computer: wait({})\n", - "INFO:agent.ComputerAgent:Computer: wait({})\n", - "2025-08-11 17:14:25,792 - agent.ComputerAgent - INFO - Computer: click({'x': 910, 'y': 254})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 910, 'y': 254})\n", - "\u001b[92m17:14:25 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/create_environment \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:14:25 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v1/environments/094ee49d-29b5-4911-bfc8-7d0e73a55c44/reset \"HTTP/1.1 200 OK\"\n", - " 42%|████████████████------------------------| 3071/7340 [108:07<150:18, 28.4 steps/min]2025-08-11 17:14:26,480 - agent.ComputerAgent - INFO - Computer: click({'x': 652, 'y': 178})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 652, 'y': 178})\n", - "2025-08-11 17:14:27,163 - agent.ComputerAgent - INFO - Computer: scroll({'scroll_y': 654, 'scroll_x': 0, 'x': 654, 'y': 467})\n", - "INFO:agent.ComputerAgent:Computer: scroll({'scroll_y': 654, 'scroll_x': 0, 'x': 654, 'y': 467})\n", - " 42%|████████████████------------------------| 3076/7340 [108:09<149:56, 28.4 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6a6179f5-13f9-4283-a0d1-aaafd881b00a/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9b6fc8c3-534a-4e7d-9a9b-4c6bad0e0619/invoke \"HTTP/1.1 200 OK\"\n", - " 42%|████████████████------------------------| 3078/7340 [108:11<149:49, 28.4 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/create_environment \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v1/environments/6a6179f5-13f9-4283-a0d1-aaafd881b00a/reset \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9b6fc8c3-534a-4e7d-9a9b-4c6bad0e0619/close \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/094ee49d-29b5-4911-bfc8-7d0e73a55c44/invoke \"HTTP/1.1 200 OK\"\n", - " 42%|████████████████------------------------| 3078/7340 [108:13<149:50, 28.4 steps/min]2025-08-11 17:14:32,090 - agent.ComputerAgent - INFO - LLM processing started with 1 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 1 messages\n", - "\u001b[92m17:14:32 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/55d96e84-fdd8-4854-8eca-195f1a84dbc3/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/025be48d-d757-4973-8c17-e42b8f6814b0/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/085317e9-3b47-437e-8528-0a0fc0e6e688/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/4b18a76d-ef46-4622-9643-9ee6fe4900a3/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/afb4e623-39bf-4f23-ac18-6c4a71f53c62/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6bacb467-6eb5-4ead-ac71-a185d2fa5e80/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/055e9f8b-8c01-4732-8b5f-ef4fc732f122/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/35bb6fb7-5b34-473c-a541-13215a694bc6/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: GET https://orchestration.hud.so/hud-gym/api/v1/gyms/OSWorld-Ubuntu \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/f0190121-650c-4779-b26d-2480f313dc84/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 17:14:32,771 - agent.ComputerAgent - INFO - LLM processing started with 22 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 22 messages\n", - "\u001b[92m17:14:32 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9f1aa688-383a-44cc-9959-87e1e32dd55c/invoke \"HTTP/1.1 200 OK\"\n", - " 42%|████████████████------------------------| 3078/7340 [108:14<149:52, 28.4 steps/min]2025-08-11 17:14:33,404 - agent.ComputerAgent - INFO - LLM processing started with 30 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 30 messages\n", - "\u001b[92m17:14:33 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 17:14:34,070 - agent.ComputerAgent - INFO - LLM processing started with 14 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 14 messages\n", - "\u001b[92m17:14:34 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 17:14:34,696 - agent.ComputerAgent - INFO - LLM processing started with 28 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 28 messages\n", - "\u001b[92m17:14:34 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 17:14:35,372 - agent.ComputerAgent - INFO - LLM processing started with 38 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 38 messages\n", - "\u001b[92m17:14:35 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 17:14:36,032 - agent.ComputerAgent - INFO - LLM processing started with 34 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 34 messages\n", - "\u001b[92m17:14:36 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6a6179f5-13f9-4283-a0d1-aaafd881b00a/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/091ec079-295e-4528-bad5-f34604d013c2/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/96765d66-53fb-41dd-99b6-cd96984e52b3/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/aa0172ad-f4a9-4f1a-9e06-2d510775dbd0/invoke \"HTTP/1.1 200 OK\"\n", - " 42%|████████████████------------------------| 3078/7340 [108:17<149:57, 28.4 steps/min]2025-08-11 17:14:37,022 - agent.ComputerAgent - INFO - LLM processing started with 1 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 1 messages\n", - "\u001b[92m17:14:37 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 17:14:37,680 - agent.ComputerAgent - INFO - LLM processing started with 26 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 26 messages\n", - "\u001b[92m17:14:37 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 42%|████████████████------------------------| 3078/7340 [108:19<149:59, 28.4 steps/min]2025-08-11 17:14:38,337 - agent.ComputerAgent - INFO - LLM processing started with 30 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 30 messages\n", - "\u001b[92m17:14:38 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 17:14:39,001 - agent.ComputerAgent - INFO - LLM processing started with 24 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 24 messages\n", - "\u001b[92m17:14:39 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 17:14:39,701 - agent.ComputerAgent - INFO - LLM processing started with 22 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 22 messages\n", - "\u001b[92m17:14:39 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 42%|████████████████------------------------| 3078/7340 [108:21<150:02, 28.4 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:14:40 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Loading checkpoint shards: 25%|██▌ | 1/4 [00:01<00:04, 1.63s/it] 28.4 steps/min]2025-08-11 17:14:42,801 - agent.ComputerAgent - INFO - LLM processing started with 10 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 10 messages\n", - "\u001b[92m17:14:42 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 42%|████████████████------------------------| 3078/7340 [108:24<150:06, 28.4 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 17:14:43,842 - agent.ComputerAgent - INFO - LLM processing started with 28 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 28 messages\n", - "\u001b[92m17:14:43 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 42%|████████████████------------------------| 3078/7340 [108:25<150:08, 28.4 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "Loading checkpoint shards: 100%|██████████| 4/4 [00:05<00:00, 1.33s/it] 28.4 steps/min]\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:14:47 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 42%|████████████████------------------------| 3078/7340 [108:28<150:12, 28.4 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 42%|████████████████------------------------| 3078/7340 [108:29<150:14, 28.4 steps/min]\u001b[92m17:14:48 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:14:48,883 - agent.ComputerAgent - INFO - Agent: Taking a screenshot to see the current computer screen.\n", - "INFO:agent.ComputerAgent:Agent: Taking a screenshot to see the current computer screen.\n", - "2025-08-11 17:14:48,885 - agent.ComputerAgent - INFO - Computer: click({'x': 314, 'y': 121})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 314, 'y': 121})\n", - "\u001b[92m17:14:49 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:14:49,521 - agent.ComputerAgent - INFO - Computer: double_click({'x': 193, 'y': 178})\n", - "INFO:agent.ComputerAgent:Computer: double_click({'x': 193, 'y': 178})\n", - " 42%|████████████████------------------------| 3080/7340 [108:32<150:07, 28.4 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/create_environment \"HTTP/1.1 200 OK\"\n", - " 42%|████████████████------------------------| 3080/7340 [108:33<150:08, 28.4 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/d351b561-0537-4e9c-84fc-8e1905f2f2c8/invoke \"HTTP/1.1 200 OK\"\n", - " 42%|████████████████------------------------| 3080/7340 [108:34<150:09, 28.4 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 17:14:53,931 - agent.ComputerAgent - INFO - Computer: type({'text': 'Paper Recommendation'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'Paper Recommendation'})\n", - " 42%|████████████████------------------------| 3080/7340 [108:35<150:11, 28.4 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/085317e9-3b47-437e-8528-0a0fc0e6e688/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/094ee49d-29b5-4911-bfc8-7d0e73a55c44/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 17:14:55,591 - agent.ComputerAgent - INFO - LLM processing started with 24 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 24 messages\n", - "\u001b[92m17:14:55 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 42%|████████████████------------------------| 3081/7340 [108:37<150:09, 28.4 steps/min]2025-08-11 17:14:56,259 - agent.ComputerAgent - INFO - LLM processing started with 6 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 6 messages\n", - "\u001b[92m17:14:56 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 17:14:57,587 - agent.ComputerAgent - INFO - Computer: wait({})\n", - "INFO:agent.ComputerAgent:Computer: wait({})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - " 42%|████████████████------------------------| 3081/7340 [108:39<150:12, 28.4 steps/min]\u001b[92m17:14:58 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m17:14:58 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:14:59,416 - agent.ComputerAgent - INFO - Computer: click({'x': 107, 'y': 33})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 107, 'y': 33})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 17:15:00,701 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'enter'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'enter'})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - " 42%|████████████████------------------------| 3082/7340 [108:43<150:12, 28.3 steps/min]\u001b[92m17:15:01 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 17:15:02,638 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ctrl+f'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ctrl+f'})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9f1aa688-383a-44cc-9959-87e1e32dd55c/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 42%|████████████████------------------------| 3084/7340 [108:45<150:04, 28.4 steps/min]\u001b[92m17:15:03 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m17:15:03 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:15:04,289 - agent.ComputerAgent - INFO - LLM processing started with 30 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 30 messages\n", - "\u001b[92m17:15:04 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:15:04,939 - agent.ComputerAgent - INFO - Computer: click({'x': 572, 'y': 551})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 572, 'y': 551})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/091ec079-295e-4528-bad5-f34604d013c2/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - " 42%|████████████████------------------------| 3084/7340 [108:47<150:07, 28.3 steps/min]\u001b[92m17:15:05 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m17:15:05 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m17:15:05 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:15:06,301 - agent.ComputerAgent - INFO - LLM processing started with 24 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 24 messages\n", - "\u001b[92m17:15:06 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 17:15:07,327 - agent.ComputerAgent - INFO - LLM processing started with 32 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 32 messages\n", - "\u001b[92m17:15:07 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m17:15:07 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:15:08,631 - agent.ComputerAgent - INFO - Agent: Taking a screenshot to see the current computer screen.\n", - "INFO:agent.ComputerAgent:Agent: Taking a screenshot to see the current computer screen.\n", - "2025-08-11 17:15:08,632 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'win'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'win'})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:15:09 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 42%|████████████████------------------------| 3085/7340 [108:51<150:07, 28.3 steps/min]2025-08-11 17:15:09,958 - agent.ComputerAgent - INFO - Computer: click({'x': 349, 'y': 207})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 349, 'y': 207})\n", - "\u001b[92m17:15:09 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m17:15:10 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:15:11,270 - agent.ComputerAgent - INFO - Computer: drag({'path': [{'x': 147, 'y': 581}, {'x': 147, 'y': 678}]})\n", - "INFO:agent.ComputerAgent:Computer: drag({'path': [{'x': 147, 'y': 581}, {'x': 147, 'y': 678}]})\n", - " 42%|████████████████------------------------| 3086/7340 [108:52<150:05, 28.3 steps/min]\u001b[92m17:15:11 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:15:11,906 - agent.ComputerAgent - INFO - Computer: click({'x': 880, 'y': 203})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 880, 'y': 203})\n", - "\u001b[92m17:15:11 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:15:12,582 - agent.ComputerAgent - INFO - Computer: click({'x': 918, 'y': 243})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 918, 'y': 243})\n", - " 42%|████████████████------------------------| 3090/7340 [108:55<149:48, 28.4 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:15:14 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 42%|████████████████------------------------| 3090/7340 [108:56<149:50, 28.4 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m17:15:15 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:15:15,903 - agent.ComputerAgent - INFO - Computer: click({'x': 894, 'y': 232})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 894, 'y': 232})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/afb4e623-39bf-4f23-ac18-6c4a71f53c62/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/55d96e84-fdd8-4854-8eca-195f1a84dbc3/invoke \"HTTP/1.1 200 OK\"\n", - " 42%|████████████████------------------------| 3090/7340 [108:57<149:51, 28.4 steps/min]2025-08-11 17:15:16,561 - agent.ComputerAgent - INFO - LLM processing started with 26 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 26 messages\n", - "\u001b[92m17:15:16 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 17:15:17,873 - agent.ComputerAgent - INFO - Computer: type({'text': 'conda activate hf\\nconda install -y -c conda-forge datasets\\npython -c \"import datasets, sys; print(\\'datasets version:\\', datasets.__version__)\"\\n'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'conda activate hf\\nconda install -y -c conda-forge datasets\\npython -c \"import datasets, sys; print(\\'datasets version:\\', datasets.__version__)\"\\n'})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/96765d66-53fb-41dd-99b6-cd96984e52b3/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/35bb6fb7-5b34-473c-a541-13215a694bc6/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/094ee49d-29b5-4911-bfc8-7d0e73a55c44/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:15:18 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:15:19,817 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ctrl+z'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ctrl+z'})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6bacb467-6eb5-4ead-ac71-a185d2fa5e80/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/f0190121-650c-4779-b26d-2480f313dc84/invoke \"HTTP/1.1 200 OK\"\n", - " 42%|████████████████------------------------| 3091/7340 [109:01<149:52, 28.4 steps/min]2025-08-11 17:15:20,461 - agent.ComputerAgent - INFO - LLM processing started with 32 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 32 messages\n", - "\u001b[92m17:15:20 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:15:21,839 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'enter'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'enter'})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6a6179f5-13f9-4283-a0d1-aaafd881b00a/invoke \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:15:21 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:15:22,509 - agent.ComputerAgent - INFO - LLM processing started with 16 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 16 messages\n", - " 42%|████████████████------------------------| 3092/7340 [109:04<149:50, 28.3 steps/min]\u001b[92m17:15:22 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m17:15:22 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:15:23,191 - agent.ComputerAgent - INFO - LLM processing started with 30 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 30 messages\n", - "\u001b[92m17:15:23 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:15:23,827 - agent.ComputerAgent - INFO - LLM processing started with 40 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 40 messages\n", - "\u001b[92m17:15:23 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m17:15:23 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 42%|████████████████------------------------| 3093/7340 [109:05<149:47, 28.4 steps/min]2025-08-11 17:15:24,498 - agent.ComputerAgent - INFO - Computer: drag({'path': [{'x': 194, 'y': 182}, {'x': 183, 'y': 294}]})\n", - "INFO:agent.ComputerAgent:Computer: drag({'path': [{'x': 194, 'y': 182}, {'x': 183, 'y': 294}]})\n", - "2025-08-11 17:15:25,826 - agent.ComputerAgent - INFO - LLM processing started with 8 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 8 messages\n", - "\u001b[92m17:15:25 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - " 42%|████████████████------------------------| 3093/7340 [109:08<149:51, 28.3 steps/min]\u001b[92m17:15:26 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:15:27,861 - agent.ComputerAgent - INFO - Computer: wait({})\n", - "INFO:agent.ComputerAgent:Computer: wait({})\n", - "\u001b[92m17:15:27 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 42%|████████████████------------------------| 3094/7340 [109:09<149:48, 28.3 steps/min]2025-08-11 17:15:28,558 - agent.ComputerAgent - INFO - Computer: click({'x': 205, 'y': 175})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 205, 'y': 175})\n", - "2025-08-11 17:15:29,222 - agent.ComputerAgent - INFO - LLM processing started with 28 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 28 messages\n", - "\u001b[92m17:15:29 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 42%|████████████████------------------------| 3095/7340 [109:11<149:45, 28.3 steps/min]2025-08-11 17:15:29,891 - agent.ComputerAgent - INFO - LLM processing started with 6 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 6 messages\n", - "\u001b[92m17:15:29 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 17:15:30,530 - agent.ComputerAgent - INFO - LLM processing started with 12 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 12 messages\n", - "\u001b[92m17:15:30 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/025be48d-d757-4973-8c17-e42b8f6814b0/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 42%|████████████████------------------------| 3096/7340 [109:12<149:41, 28.4 steps/min]2025-08-11 17:15:31,171 - agent.ComputerAgent - INFO - LLM processing started with 36 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 36 messages\n", - "\u001b[92m17:15:31 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 42%|████████████████------------------------| 3096/7340 [109:13<149:43, 28.3 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/091ec079-295e-4528-bad5-f34604d013c2/invoke \"HTTP/1.1 200 OK\"\n", - " 42%|████████████████------------------------| 3096/7340 [109:14<149:44, 28.3 steps/min]2025-08-11 17:15:32,801 - agent.ComputerAgent - INFO - LLM processing started with 34 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 34 messages\n", - "\u001b[92m17:15:32 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9f1aa688-383a-44cc-9959-87e1e32dd55c/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 17:15:33,431 - agent.ComputerAgent - INFO - LLM processing started with 26 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 26 messages\n", - "\u001b[92m17:15:33 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 42%|████████████████------------------------| 3096/7340 [109:15<149:45, 28.3 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:15:34 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/085317e9-3b47-437e-8528-0a0fc0e6e688/invoke \"HTTP/1.1 200 OK\"\n", - " 42%|████████████████------------------------| 3096/7340 [109:16<149:47, 28.3 steps/min]\u001b[92m17:15:34 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:15:35,248 - agent.ComputerAgent - INFO - Computer: click({'x': 804, 'y': 654})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 804, 'y': 654})\n", - "2025-08-11 17:15:35,931 - agent.ComputerAgent - INFO - LLM processing started with 26 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 26 messages\n", - "\u001b[92m17:15:35 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/aa0172ad-f4a9-4f1a-9e06-2d510775dbd0/invoke \"HTTP/1.1 200 OK\"\n", - " 42%|████████████████------------------------| 3096/7340 [109:17<149:49, 28.3 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 17:15:37,102 - agent.ComputerAgent - INFO - LLM processing started with 32 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 32 messages\n", - "\u001b[92m17:15:37 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/55d96e84-fdd8-4854-8eca-195f1a84dbc3/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 42%|████████████████------------------------| 3097/7340 [109:18<149:45, 28.3 steps/min]2025-08-11 17:15:37,759 - agent.ComputerAgent - INFO - LLM processing started with 28 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 28 messages\n", - "\u001b[92m17:15:37 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 42%|████████████████------------------------| 3097/7340 [109:22<149:51, 28.3 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/094ee49d-29b5-4911-bfc8-7d0e73a55c44/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 17:15:42,613 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ctrl+p'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ctrl+p'})\n", - " 42%|████████████████------------------------| 3097/7340 [109:24<149:53, 28.3 steps/min]2025-08-11 17:15:43,243 - agent.ComputerAgent - INFO - LLM processing started with 10 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 10 messages\n", - "\u001b[92m17:15:43 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m17:15:43 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:15:44,564 - agent.ComputerAgent - INFO - LLM processing started with 34 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 34 messages\n", - "\u001b[92m17:15:44 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 42%|████████████████------------------------| 3097/7340 [109:26<149:56, 28.3 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m17:15:45 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:15:45,740 - agent.ComputerAgent - INFO - Computer: click({'x': 408, 'y': 279})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 408, 'y': 279})\n", - " 42%|████████████████------------------------| 3097/7340 [109:27<149:57, 28.3 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:15:46 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 42%|████████████████------------------------| 3098/7340 [109:28<149:54, 28.3 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m17:15:47 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:15:48,097 - agent.ComputerAgent - INFO - Computer: click({'x': 880, 'y': 203})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 880, 'y': 203})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:15:48 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:15:50,080 - agent.ComputerAgent - INFO - Computer: type({'text': 'conda install -y -c conda-forge --override-channels datasets\\n'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'conda install -y -c conda-forge --override-channels datasets\\n'})\n", - " 42%|████████████████------------------------| 3098/7340 [109:31<149:58, 28.3 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:15:51,375 - agent.ComputerAgent - INFO - Computer: type({'text': 'python --version\\npython3 --version\\nls /usr/bin/python* | head -n 20\\napt-cache policy python4 || apt-cache search python4 | head\\n'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'python --version\\npython3 --version\\nls /usr/bin/python* | head -n 20\\napt-cache policy python4 || apt-cache search python4 | head\\n'})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:15:52 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:15:52 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m17:15:52 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 42%|████████████████------------------------| 3100/7340 [109:34<149:52, 28.3 steps/min]2025-08-11 17:15:53,291 - agent.ComputerAgent - INFO - Computer: move({'x': 914, 'y': 232})\n", - "INFO:agent.ComputerAgent:Computer: move({'x': 914, 'y': 232})\n", - "\u001b[92m17:15:53 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6a6179f5-13f9-4283-a0d1-aaafd881b00a/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:15:53,963 - agent.ComputerAgent - INFO - Computer: click({'x': 935, 'y': 351})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 935, 'y': 351})\n", - "\u001b[92m17:15:53 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m17:15:54 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 42%|████████████████------------------------| 3101/7340 [109:36<149:49, 28.3 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:15:55,270 - agent.ComputerAgent - INFO - Computer: click({'x': 225, 'y': 520})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 225, 'y': 520})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m17:15:55 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 42%|████████████████------------------------| 3103/7340 [109:37<149:41, 28.3 steps/min]\u001b[92m17:15:56 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:15:56,620 - agent.ComputerAgent - INFO - Computer: click({'x': 235, 'y': 206})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 235, 'y': 206})\n", - "\u001b[92m17:15:56 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:15:57,299 - agent.ComputerAgent - INFO - Computer: scroll({'scroll_y': 659, 'scroll_x': 0, 'x': 840, 'y': 467})\n", - "INFO:agent.ComputerAgent:Computer: scroll({'scroll_y': 659, 'scroll_x': 0, 'x': 840, 'y': 467})\n", - " 42%|████████████████------------------------| 3104/7340 [109:39<149:38, 28.3 steps/min]2025-08-11 17:15:57,924 - agent.ComputerAgent - INFO - LLM processing started with 8 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 8 messages\n", - "\u001b[92m17:15:57 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:15:58 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 42%|████████████████------------------------| 3106/7340 [109:40<149:30, 28.3 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m17:15:59 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m17:15:59 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m17:15:59 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:16:00,272 - agent.ComputerAgent - INFO - Computer: drag({'path': [{'x': 193, 'y': 180}, {'x': 184, 'y': 293}]})\n", - "INFO:agent.ComputerAgent:Computer: drag({'path': [{'x': 193, 'y': 180}, {'x': 184, 'y': 293}]})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - " 42%|████████████████------------------------| 3106/7340 [109:42<149:33, 28.3 steps/min]\u001b[92m17:16:00 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m17:16:01 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:16:02,072 - agent.ComputerAgent - INFO - Computer: click({'x': 1011, 'y': 62})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 1011, 'y': 62})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6bacb467-6eb5-4ead-ac71-a185d2fa5e80/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/f0190121-650c-4779-b26d-2480f313dc84/invoke \"HTTP/1.1 200 OK\"\n", - " 42%|████████████████------------------------| 3107/7340 [109:43<149:29, 28.3 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/091ec079-295e-4528-bad5-f34604d013c2/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/094ee49d-29b5-4911-bfc8-7d0e73a55c44/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 17:16:02,765 - agent.ComputerAgent - INFO - LLM processing started with 42 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 42 messages\n", - "\u001b[92m17:16:02 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/96765d66-53fb-41dd-99b6-cd96984e52b3/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/025be48d-d757-4973-8c17-e42b8f6814b0/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 17:16:03,441 - agent.ComputerAgent - INFO - LLM processing started with 36 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 36 messages\n", - "\u001b[92m17:16:03 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 17:16:04,480 - agent.ComputerAgent - INFO - LLM processing started with 30 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 30 messages\n", - "\u001b[92m17:16:04 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/55d96e84-fdd8-4854-8eca-195f1a84dbc3/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/create_environment \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/aa0172ad-f4a9-4f1a-9e06-2d510775dbd0/invoke \"HTTP/1.1 200 OK\"\n", - " 42%|████████████████------------------------| 3108/7340 [109:46<149:28, 28.3 steps/min]2025-08-11 17:16:05,143 - agent.ComputerAgent - INFO - LLM processing started with 38 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 38 messages\n", - "\u001b[92m17:16:05 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 17:16:05,823 - agent.ComputerAgent - INFO - LLM processing started with 12 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 12 messages\n", - "\u001b[92m17:16:05 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/085317e9-3b47-437e-8528-0a0fc0e6e688/invoke \"HTTP/1.1 200 OK\"\n", - " 42%|████████████████------------------------| 3108/7340 [109:47<149:29, 28.3 steps/min]2025-08-11 17:16:06,914 - agent.ComputerAgent - INFO - LLM processing started with 30 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 30 messages\n", - "\u001b[92m17:16:06 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/dc026dd3-8d59-43e0-a475-ecef72f1db12/invoke \"HTTP/1.1 200 OK\"\n", - " 42%|████████████████------------------------| 3108/7340 [109:48<149:31, 28.3 steps/min]2025-08-11 17:16:07,563 - agent.ComputerAgent - INFO - LLM processing started with 34 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 34 messages\n", - "\u001b[92m17:16:07 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 17:16:08,252 - agent.ComputerAgent - INFO - LLM processing started with 28 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 28 messages\n", - "\u001b[92m17:16:08 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:16:09 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 42%|████████████████------------------------| 3108/7340 [109:50<149:34, 28.3 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:16:09 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:16:10,625 - agent.ComputerAgent - INFO - LLM processing started with 14 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 14 messages\n", - "\u001b[92m17:16:10 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m17:16:10 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/afb4e623-39bf-4f23-ac18-6c4a71f53c62/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 42%|████████████████------------------------| 3108/7340 [109:52<149:36, 28.3 steps/min]2025-08-11 17:16:11,298 - agent.ComputerAgent - INFO - Computer: click({'x': 422, 'y': 249})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 422, 'y': 249})\n", - "\u001b[92m17:16:11 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:16:11,982 - agent.ComputerAgent - INFO - LLM processing started with 36 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 36 messages\n", - "\u001b[92m17:16:12 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 17:16:12,642 - agent.ComputerAgent - INFO - Computer: click({'x': 381, 'y': 91})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 381, 'y': 91})\n", - " 42%|████████████████------------------------| 3110/7340 [109:55<149:30, 28.3 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 17:16:15,007 - agent.ComputerAgent - INFO - Computer: wait({})\n", - "INFO:agent.ComputerAgent:Computer: wait({})\n", - " 42%|████████████████------------------------| 3111/7340 [109:57<149:28, 28.3 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:16:16 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:16:17 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 42%|████████████████------------------------| 3111/7340 [109:59<149:30, 28.3 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m17:16:17 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:16:18,043 - agent.ComputerAgent - INFO - Computer: click({'x': 413, 'y': 587})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 413, 'y': 587})\n", - "\u001b[92m17:16:18 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:16:18,709 - agent.ComputerAgent - INFO - Computer: click({'x': 125, 'y': 182})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 125, 'y': 182})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9f1aa688-383a-44cc-9959-87e1e32dd55c/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6a6179f5-13f9-4283-a0d1-aaafd881b00a/invoke \"HTTP/1.1 200 OK\"\n", - " 42%|████████████████------------------------| 3111/7340 [110:00<149:32, 28.3 steps/min]2025-08-11 17:16:19,335 - agent.ComputerAgent - INFO - LLM processing started with 28 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 28 messages\n", - "\u001b[92m17:16:19 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 17:16:20,773 - agent.ComputerAgent - INFO - LLM processing started with 10 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 10 messages\n", - "\u001b[92m17:16:20 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - " 42%|████████████████------------------------| 3113/7340 [110:03<149:26, 28.3 steps/min]\u001b[92m17:16:21 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/091ec079-295e-4528-bad5-f34604d013c2/invoke \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:16:22,077 - agent.ComputerAgent - INFO - LLM processing started with 38 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 38 messages\n", - "\u001b[92m17:16:22 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m17:16:22 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:16:23,083 - agent.ComputerAgent - INFO - Computer: click({'x': 839, 'y': 234})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 839, 'y': 234})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:16:23 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m17:16:24 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v1/environments/730002fc-5760-41b0-97b8-f6783353a242/reset \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 42%|████████████████------------------------| 3113/7340 [110:06<149:30, 28.3 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m17:16:25 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/055e9f8b-8c01-4732-8b5f-ef4fc732f122/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m17:16:25 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/094ee49d-29b5-4911-bfc8-7d0e73a55c44/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:16:25,728 - agent.ComputerAgent - INFO - Computer: click({'x': 925, 'y': 244})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 925, 'y': 244})\n", - "\u001b[92m17:16:25 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 42%|████████████████------------------------| 3114/7340 [110:07<149:26, 28.3 steps/min]2025-08-11 17:16:26,375 - agent.ComputerAgent - INFO - LLM processing started with 18 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 18 messages\n", - "\u001b[92m17:16:26 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 17:16:27,003 - agent.ComputerAgent - INFO - Computer: click({'x': 847, 'y': 404})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 847, 'y': 404})\n", - "\u001b[92m17:16:27 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 42%|████████████████------------------------| 3115/7340 [110:08<149:23, 28.3 steps/min]2025-08-11 17:16:28,017 - agent.ComputerAgent - INFO - Computer: click({'x': 880, 'y': 203})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 880, 'y': 203})\n", - "2025-08-11 17:16:28,682 - agent.ComputerAgent - INFO - LLM processing started with 14 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 14 messages\n", - "\u001b[92m17:16:28 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 42%|████████████████------------------------| 3116/7340 [110:10<149:21, 28.3 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 17:16:30,033 - agent.ComputerAgent - INFO - Computer: wait({})\n", - "INFO:agent.ComputerAgent:Computer: wait({})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:16:30 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 42%|████████████████------------------------| 3117/7340 [110:12<149:18, 28.3 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/730002fc-5760-41b0-97b8-f6783353a242/invoke \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:16:31 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:16:31,839 - agent.ComputerAgent - INFO - Computer: click({'x': 131, 'y': 181})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 131, 'y': 181})\n", - " 42%|████████████████------------------------| 3118/7340 [110:13<149:15, 28.3 steps/min]2025-08-11 17:16:32,503 - agent.ComputerAgent - INFO - LLM processing started with 1 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 1 messages\n", - "\u001b[92m17:16:32 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 42%|████████████████------------------------| 3119/7340 [110:14<149:11, 28.3 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/55d96e84-fdd8-4854-8eca-195f1a84dbc3/invoke \"HTTP/1.1 200 OK\"\n", - " 42%|████████████████------------------------| 3119/7340 [110:15<149:12, 28.3 steps/min]2025-08-11 17:16:34,177 - agent.ComputerAgent - INFO - LLM processing started with 32 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 32 messages\n", - "\u001b[92m17:16:34 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6bacb467-6eb5-4ead-ac71-a185d2fa5e80/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:16:35 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 17:16:36,680 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ctrl+f'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ctrl+f'})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/afb4e623-39bf-4f23-ac18-6c4a71f53c62/invoke \"HTTP/1.1 200 OK\"\n", - " 42%|████████████████------------------------| 3119/7340 [110:18<149:16, 28.3 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/f0190121-650c-4779-b26d-2480f313dc84/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m17:16:37 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/091ec079-295e-4528-bad5-f34604d013c2/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m17:16:37 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/35bb6fb7-5b34-473c-a541-13215a694bc6/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:16:37,927 - agent.ComputerAgent - INFO - LLM processing started with 36 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 36 messages\n", - "\u001b[92m17:16:37 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 17:16:38,544 - agent.ComputerAgent - INFO - LLM processing started with 38 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 38 messages\n", - "\u001b[92m17:16:38 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 17:16:39,208 - agent.ComputerAgent - INFO - Computer: click({'x': 940, 'y': 202})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 940, 'y': 202})\n", - "\u001b[92m17:16:39 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:16:39 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 42%|████████████████------------------------| 3119/7340 [110:21<149:21, 28.3 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:16:40,538 - agent.ComputerAgent - INFO - Computer: scroll({'scroll_y': 600, 'x': 422, 'y': 249})\n", - "INFO:agent.ComputerAgent:Computer: scroll({'scroll_y': 600, 'x': 422, 'y': 249})\n", - "2025-08-11 17:16:41,185 - agent.ComputerAgent - INFO - LLM processing started with 40 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 40 messages\n", - "\u001b[92m17:16:41 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6bacb467-6eb5-4ead-ac71-a185d2fa5e80/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 43%|█████████████████-----------------------| 3121/7340 [110:23<149:14, 28.3 steps/min]\u001b[92m17:16:42 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:16:42,861 - agent.ComputerAgent - INFO - LLM processing started with 32 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 32 messages\n", - "\u001b[92m17:16:42 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:16:42 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:16:44,179 - agent.ComputerAgent - INFO - Computer: click({'x': 115, 'y': 184})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 115, 'y': 184})\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:16:44,861 - agent.ComputerAgent - INFO - Computer: click({'x': 185, 'y': 177})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 185, 'y': 177})\n", - " 43%|█████████████████-----------------------| 3121/7340 [110:26<149:17, 28.3 steps/min]\u001b[92m17:16:44 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:16:45,524 - agent.ComputerAgent - INFO - Agent: Taking a screenshot to see the current computer screen.\n", - "INFO:agent.ComputerAgent:Agent: Taking a screenshot to see the current computer screen.\n", - "2025-08-11 17:16:45,525 - agent.ComputerAgent - INFO - Computer: click({'x': 345, 'y': 202})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 345, 'y': 202})\n", - "2025-08-11 17:16:46,155 - agent.ComputerAgent - INFO - LLM processing started with 32 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 32 messages\n", - "\u001b[92m17:16:46 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 43%|█████████████████-----------------------| 3123/7340 [110:27<149:09, 28.3 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:16:46 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 17:16:48,493 - agent.ComputerAgent - INFO - Computer: wait({})\n", - "INFO:agent.ComputerAgent:Computer: wait({})\n", - "\u001b[92m17:16:48 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6bacb467-6eb5-4ead-ac71-a185d2fa5e80/close \"HTTP/1.1 200 OK\"\n", - " 43%|█████████████████-----------------------| 3124/7340 [110:30<149:07, 28.3 steps/min]2025-08-11 17:16:49,152 - agent.ComputerAgent - INFO - Computer: click({'x': 964, 'y': 734})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 964, 'y': 734})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6a6179f5-13f9-4283-a0d1-aaafd881b00a/invoke \"HTTP/1.1 200 OK\"\n", - " 43%|█████████████████-----------------------| 3125/7340 [110:31<149:04, 28.3 steps/min]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "No screenshot found, taking screenshot\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025-08-11 17:16:50,459 - agent.ComputerAgent - INFO - LLM processing started with 13 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 13 messages\n", - "\u001b[92m17:16:50 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 43%|█████████████████-----------------------| 3126/7340 [110:32<149:01, 28.3 steps/min]INFO:httpx:HTTP Request: GET https://orchestration.hud.so/hud-gym/api/v1/gyms/OSWorld-Ubuntu \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/055e9f8b-8c01-4732-8b5f-ef4fc732f122/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:16:51 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/025be48d-d757-4973-8c17-e42b8f6814b0/invoke \"HTTP/1.1 200 OK\"\n", - "Loading checkpoint shards: 0%| | 0/4 [00:00/dev/null || echo 'no python4 found'\\n\"})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': \"which python4 || command -v python4 || ls /usr/bin/python4* 2>/dev/null || echo 'no python4 found'\\n\"})\n", - " 43%|█████████████████-----------------------| 3141/7340 [111:10<148:37, 28.3 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/ae2379a3-a039-4954-afc2-582f8ebffdd2/invoke \"HTTP/1.1 200 OK\"\n", - " 43%|█████████████████-----------------------| 3143/7340 [111:11<148:28, 28.3 steps/min]2025-08-11 17:17:30,119 - agent.ComputerAgent - INFO - LLM processing started with 6 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 6 messages\n", - "\u001b[92m17:17:30 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/091ec079-295e-4528-bad5-f34604d013c2/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6a6179f5-13f9-4283-a0d1-aaafd881b00a/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:17:30 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:17:32,137 - agent.ComputerAgent - INFO - Computer: type({'text': '=DATEDIF(DATEVALUE(REGEX(A2;\".* \";\"\"));TODAY();\"y\")'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': '=DATEDIF(DATEVALUE(REGEX(A2;\".* \";\"\"));TODAY();\"y\")'})\n", - "2025-08-11 17:17:32,777 - agent.ComputerAgent - INFO - LLM processing started with 23 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 23 messages\n", - "\u001b[92m17:17:32 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:17:34,149 - agent.ComputerAgent - INFO - Computer: type({'text': 'LLM Powered Autonomous Agents.pdf'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'LLM Powered Autonomous Agents.pdf'})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:17:34 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 43%|█████████████████-----------------------| 3143/7340 [111:17<148:36, 28.2 steps/min]\u001b[92m17:17:35 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:17:35 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m17:17:36 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/96765d66-53fb-41dd-99b6-cd96984e52b3/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:17:36,722 - agent.ComputerAgent - INFO - Computer: click({'x': 488, 'y': 368})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 488, 'y': 368})\n", - "\u001b[92m17:17:36 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m17:17:36 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 43%|█████████████████-----------------------| 3145/7340 [111:18<148:28, 28.3 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:17:37,353 - agent.ComputerAgent - INFO - Computer: click({'x': 349, 'y': 201})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 349, 'y': 201})\n", - "2025-08-11 17:17:37,994 - agent.ComputerAgent - INFO - Computer: scroll({'scroll_y': 660, 'scroll_x': 0, 'x': 706, 'y': 659})\n", - "INFO:agent.ComputerAgent:Computer: scroll({'scroll_y': 660, 'scroll_x': 0, 'x': 706, 'y': 659})\n", - "\u001b[92m17:17:37 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - " 43%|█████████████████-----------------------| 3147/7340 [111:19<148:19, 28.3 steps/min]\u001b[92m17:17:38 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:17:38,649 - agent.ComputerAgent - INFO - LLM processing started with 18 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 18 messages\n", - "\u001b[92m17:17:38 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m17:17:38 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:17:39 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:17:40,658 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ctrl+a'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ctrl+a'})\n", - "2025-08-11 17:17:41,329 - agent.ComputerAgent - INFO - Computer: drag({'path': [{'x': 194, 'y': 183}, {'x': 184, 'y': 291}]})\n", - "INFO:agent.ComputerAgent:Computer: drag({'path': [{'x': 194, 'y': 183}, {'x': 184, 'y': 291}]})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/091ec079-295e-4528-bad5-f34604d013c2/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6a6179f5-13f9-4283-a0d1-aaafd881b00a/invoke \"HTTP/1.1 200 OK\"\n", - " 43%|█████████████████-----------------------| 3149/7340 [111:23<148:14, 28.3 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:17:41,970 - agent.ComputerAgent - INFO - LLM processing started with 25 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 25 messages\n", - "\u001b[92m17:17:41 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 17:17:42,600 - agent.ComputerAgent - INFO - LLM processing started with 8 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 8 messages\n", - "\u001b[92m17:17:42 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m17:17:42 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/afb4e623-39bf-4f23-ac18-6c4a71f53c62/invoke \"HTTP/1.1 200 OK\"\n", - " 43%|█████████████████-----------------------| 3150/7340 [111:24<148:11, 28.3 steps/min]2025-08-11 17:17:43,277 - agent.ComputerAgent - INFO - Computer: click({'x': 850, 'y': 202})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 850, 'y': 202})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/055e9f8b-8c01-4732-8b5f-ef4fc732f122/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/730002fc-5760-41b0-97b8-f6783353a242/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9f1aa688-383a-44cc-9959-87e1e32dd55c/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 17:17:43,930 - agent.ComputerAgent - INFO - LLM processing started with 42 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 42 messages\n", - "\u001b[92m17:17:43 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 43%|█████████████████-----------------------| 3150/7340 [111:25<148:13, 28.3 steps/min]2025-08-11 17:17:44,570 - agent.ComputerAgent - INFO - LLM processing started with 10 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 10 messages\n", - "\u001b[92m17:17:44 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 17:17:45,261 - agent.ComputerAgent - INFO - LLM processing started with 22 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 22 messages\n", - "\u001b[92m17:17:45 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 17:17:45,939 - agent.ComputerAgent - INFO - LLM processing started with 32 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 32 messages\n", - "\u001b[92m17:17:45 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/091ec079-295e-4528-bad5-f34604d013c2/close \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - " 43%|█████████████████-----------------------| 3151/7340 [111:27<148:10, 28.3 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - " 43%|█████████████████-----------------------| 3152/7340 [111:31<148:11, 28.3 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/aa0172ad-f4a9-4f1a-9e06-2d510775dbd0/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/085317e9-3b47-437e-8528-0a0fc0e6e688/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 17:17:51,370 - agent.ComputerAgent - INFO - LLM processing started with 34 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 34 messages\n", - "\u001b[92m17:17:51 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: GET https://orchestration.hud.so/hud-gym/api/v1/gyms/OSWorld-Ubuntu \"HTTP/1.1 200 OK\"\n", - " 43%|█████████████████-----------------------| 3152/7340 [111:33<148:13, 28.3 steps/min]\u001b[92m17:17:52 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6a6179f5-13f9-4283-a0d1-aaafd881b00a/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 17:17:52,759 - agent.ComputerAgent - INFO - LLM processing started with 27 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 27 messages\n", - "\u001b[92m17:17:52 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 43%|█████████████████-----------------------| 3152/7340 [111:34<148:14, 28.3 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 17:17:53,422 - agent.ComputerAgent - INFO - LLM processing started with 40 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 40 messages\n", - "\u001b[92m17:17:53 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m17:17:54 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 43%|█████████████████-----------------------| 3152/7340 [111:36<148:18, 28.2 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:17:55 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 43%|█████████████████-----------------------| 3153/7340 [111:37<148:14, 28.2 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/f0190121-650c-4779-b26d-2480f313dc84/invoke \"HTTP/1.1 200 OK\"\n", - "Loading checkpoint shards: 25%|██▌ | 1/4 [00:01<00:05, 1.77s/it]2025-08-11 17:17:57,266 - agent.ComputerAgent - INFO - LLM processing started with 36 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 36 messages\n", - "\u001b[92m17:17:57 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6a6179f5-13f9-4283-a0d1-aaafd881b00a/invoke \"HTTP/1.1 200 OK\"\n", - " 43%|█████████████████-----------------------| 3153/7340 [111:39<148:15, 28.2 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 17:17:57,933 - agent.ComputerAgent - INFO - LLM processing started with 29 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 29 messages\n", - "\u001b[92m17:17:57 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "Loading checkpoint shards: 100%|██████████| 4/4 [00:05<00:00, 1.39s/it] 28.2 steps/min]\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/094ee49d-29b5-4911-bfc8-7d0e73a55c44/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:18:01 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - " 43%|█████████████████-----------------------| 3154/7340 [111:43<148:16, 28.2 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m17:18:02 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m17:18:02 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m17:18:02 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6a6179f5-13f9-4283-a0d1-aaafd881b00a/invoke \"HTTP/1.1 200 OK\"\n", - " 43%|█████████████████-----------------------| 3167/7340 [111:44<147:14, 28.3 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:18:03,401 - agent.ComputerAgent - INFO - LLM processing started with 31 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 31 messages\n", - "\u001b[92m17:18:03 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:18:04,060 - agent.ComputerAgent - INFO - Computer: click({'x': 666, 'y': 219})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 666, 'y': 219})\n", - "\u001b[92m17:18:04 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m17:18:04 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m17:18:04 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/094ee49d-29b5-4911-bfc8-7d0e73a55c44/close \"HTTP/1.1 200 OK\"\n", - " 43%|█████████████████-----------------------| 3167/7340 [111:45<147:15, 28.3 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:18:04,733 - agent.ComputerAgent - INFO - Computer: click({'x': 442, 'y': 162})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 442, 'y': 162})\n", - "2025-08-11 17:18:05,375 - agent.ComputerAgent - INFO - Computer: click({'x': 811, 'y': 336})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 811, 'y': 336})\n", - "2025-08-11 17:18:06,055 - agent.ComputerAgent - INFO - Computer: double_click({'x': 347, 'y': 222})\n", - "INFO:agent.ComputerAgent:Computer: double_click({'x': 347, 'y': 222})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - "\u001b[92m17:18:06 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m17:18:06 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 43%|█████████████████-----------------------| 3169/7340 [111:48<147:09, 28.3 steps/min]2025-08-11 17:18:07,401 - agent.ComputerAgent - INFO - Computer: click({'x': 536, 'y': 276})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 536, 'y': 276})\n", - "2025-08-11 17:18:08,031 - agent.ComputerAgent - INFO - Computer: double_click({'x': 489, 'y': 368})\n", - "INFO:agent.ComputerAgent:Computer: double_click({'x': 489, 'y': 368})\n", - " 43%|█████████████████-----------------------| 3172/7340 [111:49<146:56, 28.4 steps/min]INFO:httpx:HTTP Request: GET https://orchestration.hud.so/hud-gym/api/v1/gyms/OSWorld-Ubuntu \"HTTP/1.1 200 OK\"\n", - " 43%|█████████████████-----------------------| 3174/7340 [111:50<146:48, 28.4 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6a6179f5-13f9-4283-a0d1-aaafd881b00a/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 17:18:09,694 - agent.ComputerAgent - INFO - LLM processing started with 33 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 33 messages\n", - "\u001b[92m17:18:09 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 43%|█████████████████-----------------------| 3174/7340 [111:52<146:50, 28.4 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/create_environment \"HTTP/1.1 200 OK\"\n", - " 43%|█████████████████-----------------------| 3175/7340 [111:53<146:47, 28.4 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 17:18:13,931 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ctrl+c'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ctrl+c'})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:18:14 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9f1aa688-383a-44cc-9959-87e1e32dd55c/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6a6179f5-13f9-4283-a0d1-aaafd881b00a/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/730002fc-5760-41b0-97b8-f6783353a242/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/55d96e84-fdd8-4854-8eca-195f1a84dbc3/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/ae2379a3-a039-4954-afc2-582f8ebffdd2/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/afb4e623-39bf-4f23-ac18-6c4a71f53c62/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:18:15 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/1909e6f5-b395-4e1d-b1f7-b06406f8731b/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/025be48d-d757-4973-8c17-e42b8f6814b0/invoke \"HTTP/1.1 200 OK\"\n", - " 43%|█████████████████-----------------------| 3175/7340 [111:56<146:51, 28.4 steps/min]2025-08-11 17:18:15,929 - agent.ComputerAgent - INFO - LLM processing started with 35 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 35 messages\n", - "\u001b[92m17:18:15 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 17:18:16,592 - agent.ComputerAgent - INFO - LLM processing started with 36 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 36 messages\n", - "\u001b[92m17:18:16 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v1/environments/4b18a76d-ef46-4622-9643-9ee6fe4900a3/reset \"HTTP/1.1 200 OK\"\n", - " 43%|█████████████████-----------------------| 3175/7340 [111:58<146:53, 28.4 steps/min]2025-08-11 17:18:17,271 - agent.ComputerAgent - INFO - LLM processing started with 34 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 34 messages\n", - "\u001b[92m17:18:17 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 17:18:17,933 - agent.ComputerAgent - INFO - LLM processing started with 10 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 10 messages\n", - "\u001b[92m17:18:17 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 43%|█████████████████-----------------------| 3175/7340 [111:59<146:55, 28.3 steps/min]2025-08-11 17:18:18,584 - agent.ComputerAgent - INFO - LLM processing started with 12 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 12 messages\n", - "\u001b[92m17:18:18 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v1/environments/b6bbc5bc-5598-4043-be1e-6ebf2da5f046/reset \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Loading checkpoint shards: 0%| | 0/4 [00:00 arr[j + 1]:\\n arr[j], arr[j + 1] = arr[j + 1], arr[j]\\n swapped = True\\n if not swapped:\\n break'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': '\\n n = len(arr)\\n for i in range(n):\\n swapped = False\\n for j in range(0, n - i - 1):\\n if arr[j] > arr[j + 1]:\\n arr[j], arr[j + 1] = arr[j + 1], arr[j]\\n swapped = True\\n if not swapped:\\n break'})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/create_environment \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/a4b4d291-1fca-4038-8670-448014a55182/invoke \"HTTP/1.1 200 OK\"\n", - " 47%|██████████████████----------------------| 3439/7340 [120:46<137:00, 28.5 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b3bde0e0-c60f-4177-b7dd-15e361558126/invoke \"HTTP/1.1 200 OK\"\n", - " 47%|██████████████████----------------------| 3439/7340 [120:47<137:01, 28.5 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:27:06 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 17:27:07,882 - agent.ComputerAgent - INFO - Computer: type({'text': 'libreoffice --headless --convert-to pdf --outdir . -- *.doc\\n'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'libreoffice --headless --convert-to pdf --outdir . -- *.doc\\n'})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:27:07 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m17:27:08 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/dc026dd3-8d59-43e0-a475-ecef72f1db12/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b6bbc5bc-5598-4043-be1e-6ebf2da5f046/invoke \"HTTP/1.1 200 OK\"\n", - " 47%|██████████████████----------------------| 3439/7340 [120:50<137:04, 28.5 steps/min]2025-08-11 17:27:09,249 - agent.ComputerAgent - INFO - Agent: Taking a screenshot to see the current computer screen.\n", - "INFO:agent.ComputerAgent:Agent: Taking a screenshot to see the current computer screen.\n", - "2025-08-11 17:27:09,250 - agent.ComputerAgent - INFO - Computer: double_click({'x': 984, 'y': 491})\n", - "INFO:agent.ComputerAgent:Computer: double_click({'x': 984, 'y': 491})\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:27:09,926 - agent.ComputerAgent - INFO - LLM processing started with 28 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 28 messages\n", - "\u001b[92m17:27:09 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m17:27:10 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/94463065-a78e-479a-b964-45ad23a48cbb/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:27:10 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 47%|██████████████████----------------------| 3440/7340 [120:52<137:02, 28.5 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:27:11,254 - agent.ComputerAgent - INFO - Computer: click({'x': 153, 'y': 53})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 153, 'y': 53})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:27:12,616 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ctrl+s'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ctrl+s'})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/create_environment \"HTTP/1.1 200 OK\"\n", - "2025-08-11 17:27:13,257 - agent.ComputerAgent - INFO - LLM processing started with 36 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 36 messages\n", - "\u001b[92m17:27:13 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m17:27:13 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 17:27:14,573 - agent.ComputerAgent - INFO - Computer: type({'text': 'do not track'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'do not track'})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 17:27:15,903 - agent.ComputerAgent - INFO - Computer: type({'text': '30'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': '30'})\n", - " 47%|██████████████████----------------------| 3441/7340 [120:57<137:03, 28.4 steps/min]2025-08-11 17:27:16,549 - agent.ComputerAgent - INFO - LLM processing started with 18 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 18 messages\n", - "\u001b[92m17:27:16 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 17:27:17,244 - agent.ComputerAgent - INFO - Computer: click({'x': 268, 'y': 329})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 268, 'y': 329})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - " 47%|██████████████████----------------------| 3444/7340 [120:59<136:52, 28.5 steps/min]\u001b[92m17:27:17 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:27:18,557 - agent.ComputerAgent - INFO - LLM processing started with 20 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 20 messages\n", - "\u001b[92m17:27:18 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m17:27:18 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:27:19,249 - agent.ComputerAgent - INFO - Computer: click({'x': 955, 'y': 130})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 955, 'y': 130})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/127b9298-d3cc-4b90-8567-e45146efa729/invoke \"HTTP/1.1 200 OK\"\n", - " 47%|██████████████████----------------------| 3445/7340 [121:00<136:49, 28.5 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:27:20 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 47%|██████████████████----------------------| 3446/7340 [121:02<136:46, 28.5 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m17:27:20 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:27:21,579 - agent.ComputerAgent - INFO - Computer: click({'x': 188, 'y': 105})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 188, 'y': 105})\n", - " 47%|██████████████████----------------------| 3446/7340 [121:03<136:47, 28.5 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/f8984906-7392-4305-88fa-ae9a4808fa8d/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/050a0934-63e8-46a0-8868-de32b28174ef/invoke \"HTTP/1.1 200 OK\"\n", - " 47%|██████████████████----------------------| 3447/7340 [121:04<136:44, 28.5 steps/min]2025-08-11 17:27:23,268 - agent.ComputerAgent - INFO - LLM processing started with 32 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 32 messages\n", - "\u001b[92m17:27:23 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/57944bbf-74a1-4e6d-9401-f7b0144460f7/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b28701c2-0fa4-4b07-bace-735fd2133893/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 17:27:23,935 - agent.ComputerAgent - INFO - LLM processing started with 10 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 10 messages\n", - "\u001b[92m17:27:23 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0322563b-daf3-41ae-8a08-f5ecd9282bcc/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/792a6953-2092-47e4-a8a8-57a4af4e3be1/invoke \"HTTP/1.1 200 OK\"\n", - " 47%|██████████████████----------------------| 3447/7340 [121:05<136:45, 28.5 steps/min]2025-08-11 17:27:24,567 - agent.ComputerAgent - INFO - LLM processing started with 24 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 24 messages\n", - "\u001b[92m17:27:24 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 17:27:25,196 - agent.ComputerAgent - INFO - LLM processing started with 24 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 24 messages\n", - "\u001b[92m17:27:25 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 47%|██████████████████----------------------| 3447/7340 [121:07<136:47, 28.5 steps/min]2025-08-11 17:27:25,887 - agent.ComputerAgent - INFO - LLM processing started with 10 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 10 messages\n", - "\u001b[92m17:27:25 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/1909e6f5-b395-4e1d-b1f7-b06406f8731b/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:27:26 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 47%|██████████████████----------------------| 3447/7340 [121:08<136:48, 28.5 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:27:27,295 - agent.ComputerAgent - INFO - LLM processing started with 6 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 6 messages\n", - "\u001b[92m17:27:27 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m17:27:27 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/fde8bca8-8a90-4fed-b46f-c24829445665/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 17:27:27,985 - agent.ComputerAgent - INFO - Computer: click({'x': 262, 'y': 479})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 262, 'y': 479})\n", - " 47%|██████████████████----------------------| 3447/7340 [121:09<136:50, 28.4 steps/min]2025-08-11 17:27:28,643 - agent.ComputerAgent - INFO - LLM processing started with 18 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 18 messages\n", - "\u001b[92m17:27:28 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:27:29 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 47%|██████████████████----------------------| 3448/7340 [121:11<136:47, 28.5 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:27:30,354 - agent.ComputerAgent - INFO - LLM processing started with 32 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 32 messages\n", - "\u001b[92m17:27:30 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 47%|██████████████████----------------------| 3448/7340 [121:12<136:48, 28.4 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m17:27:30 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:27:31,027 - agent.ComputerAgent - INFO - Computer: click({'x': 219, 'y': 134})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 219, 'y': 134})\n", - " 47%|██████████████████----------------------| 3449/7340 [121:14<136:46, 28.4 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 17:27:33,880 - agent.ComputerAgent - INFO - Agent: Added the Dissolve slide transition to the first slide and saved the presentation.\n", - "\n", - "Task completed.\n", - "INFO:agent.ComputerAgent:Agent: Added the Dissolve slide transition to the first slide and saved the presentation.\n", - "\n", - "Task completed.\n", - "2025-08-11 17:27:34,565 - agent.ComputerAgent - INFO - Total usage:\n", - " - completion_tokens: 475\n", - " - prompt_tokens: 6691\n", - " - total_tokens: 7166\n", - " - completion_tokens_details:\n", - " - accepted_prediction_tokens: 0\n", - " - audio_tokens: 0\n", - " - reasoning_tokens: 448\n", - " - rejected_prediction_tokens: 0\n", - " - prompt_tokens_details:\n", - " - audio_tokens: 0\n", - " - cached_tokens: 4608\n", - " - response_cost: $0.0079\n", - "INFO:agent.ComputerAgent:Total usage:\n", - " - completion_tokens: 475\n", - " - prompt_tokens: 6691\n", - " - total_tokens: 7166\n", - " - completion_tokens_details:\n", - " - accepted_prediction_tokens: 0\n", - " - audio_tokens: 0\n", - " - reasoning_tokens: 448\n", - " - rejected_prediction_tokens: 0\n", - " - prompt_tokens_details:\n", - " - audio_tokens: 0\n", - " - cached_tokens: 4608\n", - " - response_cost: $0.0079\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - " 47%|██████████████████----------------------| 3450/7340 [121:17<136:45, 28.4 steps/min]\u001b[92m17:27:35 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b6bbc5bc-5598-4043-be1e-6ebf2da5f046/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 17:27:35,955 - agent.ComputerAgent - INFO - LLM processing started with 38 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 38 messages\n", - "\u001b[92m17:27:35 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m17:27:35 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:27:36,603 - agent.ComputerAgent - INFO - Computer: move({'x': 166, 'y': 68})\n", - "INFO:agent.ComputerAgent:Computer: move({'x': 166, 'y': 68})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/4b18a76d-ef46-4622-9643-9ee6fe4900a3/invoke \"HTTP/1.1 200 OK\"\n", - " 47%|██████████████████----------------------| 3450/7340 [121:18<136:46, 28.4 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b3b14802-9f99-46f5-8fa9-9661af7a973d/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 17:27:37,265 - agent.ComputerAgent - INFO - LLM processing started with 34 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 34 messages\n", - "\u001b[92m17:27:37 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m17:27:37 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 47%|██████████████████----------------------| 3451/7340 [121:19<136:43, 28.4 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m17:27:38 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:27:39,152 - agent.ComputerAgent - INFO - Computer: click({'x': 87, 'y': 158})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 87, 'y': 158})\n", - " 47%|██████████████████----------------------| 3451/7340 [121:20<136:44, 28.4 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:27:39 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 17:27:41,144 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ctrl+f'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ctrl+f'})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 47%|██████████████████----------------------| 3452/7340 [121:23<136:43, 28.4 steps/min]\u001b[92m17:27:41 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m17:27:41 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:27:42,465 - agent.ComputerAgent - INFO - LLM processing started with 34 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 34 messages\n", - "\u001b[92m17:27:42 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:27:43,111 - agent.ComputerAgent - INFO - Computer: double_click({'x': 984, 'y': 145})\n", - "INFO:agent.ComputerAgent:Computer: double_click({'x': 984, 'y': 145})\n", - "\u001b[92m17:27:43 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/57944bbf-74a1-4e6d-9401-f7b0144460f7/invoke \"HTTP/1.1 200 OK\"\n", - " 47%|██████████████████----------------------| 3452/7340 [121:24<136:45, 28.4 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m17:27:43 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:27:44,178 - agent.ComputerAgent - INFO - LLM processing started with 26 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 26 messages\n", - "\u001b[92m17:27:44 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:27:44 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:27:45,504 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ctrl+a'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ctrl+a'})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:27:46 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b3b14802-9f99-46f5-8fa9-9661af7a973d/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 47%|██████████████████----------------------| 3453/7340 [121:27<136:43, 28.4 steps/min]2025-08-11 17:27:46,827 - agent.ComputerAgent - INFO - Computer: drag({'path': [{'x': 86, 'y': 123}, {'x': 83, 'y': 250}]})\n", - "INFO:agent.ComputerAgent:Computer: drag({'path': [{'x': 86, 'y': 123}, {'x': 83, 'y': 250}]})\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:27:47,486 - agent.ComputerAgent - INFO - LLM processing started with 26 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 26 messages\n", - "\u001b[92m17:27:47 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 47%|██████████████████----------------------| 3466/7340 [121:29<135:47, 28.5 steps/min]\u001b[92m17:27:47 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:27:48,140 - agent.ComputerAgent - INFO - Computer: click({'x': 225, 'y': 564})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 225, 'y': 564})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 17:27:49,491 - agent.ComputerAgent - INFO - Computer: type({'text': 'ls -1 *.doc\\n'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'ls -1 *.doc\\n'})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v1/environments/a4b4d291-1fca-4038-8670-448014a55182/reset \"HTTP/1.1 200 OK\"\n", - " 47%|██████████████████----------------------| 3467/7340 [121:31<135:45, 28.5 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b3b14802-9f99-46f5-8fa9-9661af7a973d/close \"HTTP/1.1 200 OK\"\n", - " 47%|██████████████████----------------------| 3469/7340 [121:32<135:38, 28.5 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/dc026dd3-8d59-43e0-a475-ecef72f1db12/invoke \"HTTP/1.1 200 OK\"\n", - " 47%|██████████████████----------------------| 3469/7340 [121:33<135:39, 28.5 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:27:52 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:27:53,445 - agent.ComputerAgent - INFO - LLM processing started with 30 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 30 messages\n", - "\u001b[92m17:27:53 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: GET https://orchestration.hud.so/hud-gym/api/v1/gyms/OSWorld-Ubuntu \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/a4b4d291-1fca-4038-8670-448014a55182/invoke \"HTTP/1.1 200 OK\"\n", - "Loading checkpoint shards: 0%| | 0/4 [00:00\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m17:28:59 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m17:29:00 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:29:01,218 - agent.ComputerAgent - INFO - Computer: click({'x': 521, 'y': 422})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 521, 'y': 422})\n", - "2025-08-11 17:29:01,891 - agent.ComputerAgent - INFO - Computer: click({'x': 17, 'y': 335})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 17, 'y': 335})\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:29:02,530 - agent.ComputerAgent - INFO - LLM processing started with 34 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 34 messages\n", - "\u001b[92m17:29:02 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 48%|███████████████████---------------------| 3490/7340 [122:44<135:23, 28.4 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m17:29:02 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m17:29:02 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:29:03,204 - agent.ComputerAgent - INFO - Agent: Taking a screenshot to see the current computer screen.\n", - "INFO:agent.ComputerAgent:Agent: Taking a screenshot to see the current computer screen.\n", - "2025-08-11 17:29:03,205 - agent.ComputerAgent - INFO - Computer: click({'button': 'left', 'x': 960, 'y': 713})\n", - "INFO:agent.ComputerAgent:Computer: click({'button': 'left', 'x': 960, 'y': 713})\n", - "2025-08-11 17:29:04,634 - agent.ComputerAgent - INFO - Computer: scroll({'scroll_y': -646, 'scroll_x': 0, 'x': 890, 'y': 760})\n", - "INFO:agent.ComputerAgent:Computer: scroll({'scroll_y': -646, 'scroll_x': 0, 'x': 890, 'y': 760})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - " 48%|███████████████████---------------------| 3492/7340 [122:47<135:18, 28.4 steps/min]\u001b[92m17:29:05 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:29:05,965 - agent.ComputerAgent - INFO - LLM processing started with 42 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 42 messages\n", - "\u001b[92m17:29:05 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m17:29:06 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:29:06,998 - agent.ComputerAgent - INFO - Agent: Taking a screenshot to see the current computer screen.\n", - "INFO:agent.ComputerAgent:Agent: Taking a screenshot to see the current computer screen.\n", - "2025-08-11 17:29:06,998 - agent.ComputerAgent - INFO - Computer: click({'x': 15, 'y': 432})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 15, 'y': 432})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 17:29:08,322 - agent.ComputerAgent - INFO - Computer: wait({})\n", - "INFO:agent.ComputerAgent:Computer: wait({})\n", - " 48%|███████████████████---------------------| 3496/7340 [122:54<135:08, 28.4 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/57944bbf-74a1-4e6d-9401-f7b0144460f7/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/3bde46c9-685b-4102-9ef4-a1535d5fcc85/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/479a3737-3ad4-48da-b73f-c8ea6e38d096/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 17:29:13,557 - agent.ComputerAgent - INFO - LLM processing started with 32 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 32 messages\n", - "\u001b[92m17:29:13 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/2a28af1e-e61d-489c-a18e-23c5071c9aff/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/a4b4d291-1fca-4038-8670-448014a55182/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/1909e6f5-b395-4e1d-b1f7-b06406f8731b/invoke \"HTTP/1.1 200 OK\"\n", - " 48%|███████████████████---------------------| 3496/7340 [122:55<135:09, 28.4 steps/min]2025-08-11 17:29:14,241 - agent.ComputerAgent - INFO - LLM processing started with 6 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 6 messages\n", - "\u001b[92m17:29:14 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0322563b-daf3-41ae-8a08-f5ecd9282bcc/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/create_environment \"HTTP/1.1 200 OK\"\n", - "2025-08-11 17:29:14,878 - agent.ComputerAgent - INFO - LLM processing started with 6 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 6 messages\n", - "\u001b[92m17:29:14 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 17:29:15,558 - agent.ComputerAgent - INFO - LLM processing started with 10 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 10 messages\n", - "\u001b[92m17:29:15 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - " 48%|███████████████████---------------------| 3496/7340 [122:57<135:12, 28.4 steps/min]\u001b[92m17:29:16 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/792a6953-2092-47e4-a8a8-57a4af4e3be1/invoke \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:29:16,889 - agent.ComputerAgent - INFO - LLM processing started with 14 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 14 messages\n", - "\u001b[92m17:29:16 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m17:29:16 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:29:17,556 - agent.ComputerAgent - INFO - Computer: click({'x': 599, 'y': 760})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 599, 'y': 760})\n", - " 48%|███████████████████---------------------| 3496/7340 [122:59<135:13, 28.4 steps/min]2025-08-11 17:29:18,237 - agent.ComputerAgent - INFO - LLM processing started with 8 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 8 messages\n", - "\u001b[92m17:29:18 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 17:29:18,917 - agent.ComputerAgent - INFO - LLM processing started with 38 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 38 messages\n", - "\u001b[92m17:29:18 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 48%|███████████████████---------------------| 3497/7340 [123:00<135:10, 28.4 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 17:29:19,548 - agent.ComputerAgent - INFO - LLM processing started with 16 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 16 messages\n", - "\u001b[92m17:29:19 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/a5f69ad6-9361-4670-b101-61761113341c/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 48%|███████████████████---------------------| 3497/7340 [123:01<135:12, 28.4 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:29:21 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 48%|███████████████████---------------------| 3497/7340 [123:03<135:14, 28.4 steps/min]\u001b[92m17:29:21 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:29:23,251 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'enter'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'enter'})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:29:23 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m17:29:23 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m17:29:23 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/fde8bca8-8a90-4fed-b46f-c24829445665/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:29:24 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 48%|███████████████████---------------------| 3497/7340 [123:06<135:17, 28.4 steps/min]\u001b[92m17:29:25 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m17:29:25 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:29:25,847 - agent.ComputerAgent - INFO - Computer: scroll({'scroll_y': 612, 'x': 655, 'y': 419})\n", - "INFO:agent.ComputerAgent:Computer: scroll({'scroll_y': 612, 'x': 655, 'y': 419})\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m17:29:26 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m17:29:26 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 48%|███████████████████---------------------| 3499/7340 [123:08<135:11, 28.4 steps/min]\u001b[92m17:29:27 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:29:27,867 - agent.ComputerAgent - INFO - LLM processing started with 24 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 24 messages\n", - "\u001b[92m17:29:27 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:29:28,508 - agent.ComputerAgent - INFO - Computer: click({'x': 256, 'y': 128})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 256, 'y': 128})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:29:28 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:29:29 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:29:29 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:29:31,110 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ctrl+a'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ctrl+a'})\n", - "\u001b[92m17:29:31 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m17:29:31 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m17:29:31 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:29:31,743 - agent.ComputerAgent - INFO - Computer: click({'x': 182, 'y': 105})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 182, 'y': 105})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:29:31 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m17:29:32 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 48%|███████████████████---------------------| 3499/7340 [123:14<135:16, 28.4 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:29:33,138 - agent.ComputerAgent - INFO - Computer: click({'x': 634, 'y': 529})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 634, 'y': 529})\n", - "2025-08-11 17:29:33,791 - agent.ComputerAgent - INFO - Computer: drag({'path': [{'x': 82, 'y': 124}, {'x': 75, 'y': 124}]})\n", - "INFO:agent.ComputerAgent:Computer: drag({'path': [{'x': 82, 'y': 124}, {'x': 75, 'y': 124}]})\n", - "2025-08-11 17:29:34,450 - agent.ComputerAgent - INFO - Computer: scroll({'scroll_y': -517, 'scroll_x': 0, 'x': 46, 'y': 762})\n", - "INFO:agent.ComputerAgent:Computer: scroll({'scroll_y': -517, 'scroll_x': 0, 'x': 46, 'y': 762})\n", - "\u001b[92m17:29:34 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m17:29:34 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:29:35,110 - agent.ComputerAgent - INFO - LLM processing started with 34 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 34 messages\n", - "\u001b[92m17:29:35 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m17:29:35 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:29:35,790 - agent.ComputerAgent - INFO - Computer: scroll({'scroll_y': 673, 'scroll_x': 0, 'x': 86, 'y': 245})\n", - "INFO:agent.ComputerAgent:Computer: scroll({'scroll_y': 673, 'scroll_x': 0, 'x': 86, 'y': 245})\n", - "\u001b[92m17:29:35 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 48%|███████████████████---------------------| 3501/7340 [123:17<135:11, 28.4 steps/min]2025-08-11 17:29:36,477 - agent.ComputerAgent - INFO - Computer: click({'x': 15, 'y': 333})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 15, 'y': 333})\n", - "\u001b[92m17:29:36 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:29:37,144 - agent.ComputerAgent - INFO - Computer: click({'x': 268, 'y': 329})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 268, 'y': 329})\n", - "2025-08-11 17:29:37,807 - agent.ComputerAgent - INFO - Computer: drag({'path': [{'x': 332, 'y': 308}, {'x': 345, 'y': 308}]})\n", - "INFO:agent.ComputerAgent:Computer: drag({'path': [{'x': 332, 'y': 308}, {'x': 345, 'y': 308}]})\n", - " 48%|███████████████████---------------------| 3508/7340 [123:20<134:44, 28.4 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/f8984906-7392-4305-88fa-ae9a4808fa8d/invoke \"HTTP/1.1 200 OK\"\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "No screenshot found, taking screenshot\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025-08-11 17:29:39,468 - agent.ComputerAgent - INFO - LLM processing started with 39 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 39 messages\n", - "\u001b[92m17:29:39 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 17:29:40,852 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ctrl+f'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ctrl+f'})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 17:29:42,174 - agent.ComputerAgent - INFO - Computer: wait({})\n", - "INFO:agent.ComputerAgent:Computer: wait({})\n", - " 48%|███████████████████---------------------| 3508/7340 [123:23<134:47, 28.4 steps/min]2025-08-11 17:29:43,192 - agent.ComputerAgent - INFO - LLM processing started with 40 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 40 messages\n", - "\u001b[92m17:29:43 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/a4b4d291-1fca-4038-8670-448014a55182/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b6bbc5bc-5598-4043-be1e-6ebf2da5f046/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/479a3737-3ad4-48da-b73f-c8ea6e38d096/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0322563b-daf3-41ae-8a08-f5ecd9282bcc/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/dc026dd3-8d59-43e0-a475-ecef72f1db12/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/050a0934-63e8-46a0-8868-de32b28174ef/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/4b18a76d-ef46-4622-9643-9ee6fe4900a3/invoke \"HTTP/1.1 200 OK\"\n", - " 48%|███████████████████---------------------| 3509/7340 [123:25<134:44, 28.4 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/94463065-a78e-479a-b964-45ad23a48cbb/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 17:29:43,878 - agent.ComputerAgent - INFO - LLM processing started with 16 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 16 messages\n", - "\u001b[92m17:29:43 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 17:29:44,537 - agent.ComputerAgent - INFO - LLM processing started with 12 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 12 messages\n", - "\u001b[92m17:29:44 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 17:29:45,557 - agent.ComputerAgent - INFO - LLM processing started with 8 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 8 messages\n", - "\u001b[92m17:29:45 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b28701c2-0fa4-4b07-bace-735fd2133893/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:29:46 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/2a28af1e-e61d-489c-a18e-23c5071c9aff/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 48%|███████████████████---------------------| 3510/7340 [123:28<134:43, 28.4 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:29:47,830 - agent.ComputerAgent - INFO - LLM processing started with 42 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 42 messages\n", - "\u001b[92m17:29:47 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 17:29:48,461 - agent.ComputerAgent - INFO - LLM processing started with 16 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 16 messages\n", - "\u001b[92m17:29:48 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m17:29:48 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 48%|███████████████████---------------------| 3510/7340 [123:30<134:45, 28.4 steps/min]2025-08-11 17:29:49,532 - agent.ComputerAgent - INFO - Computer: click({'x': 728, 'y': 179})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 728, 'y': 179})\n", - "2025-08-11 17:29:50,219 - agent.ComputerAgent - INFO - LLM processing started with 36 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 36 messages\n", - "\u001b[92m17:29:50 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:29:50 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 48%|███████████████████---------------------| 3510/7340 [123:32<134:48, 28.4 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:29:51 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m17:29:51 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:29:52,661 - agent.ComputerAgent - INFO - LLM processing started with 10 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 10 messages\n", - "\u001b[92m17:29:52 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 17:29:53,352 - agent.ComputerAgent - INFO - Computer: double_click({'x': 181, 'y': 105})\n", - "INFO:agent.ComputerAgent:Computer: double_click({'x': 181, 'y': 105})\n", - "\u001b[92m17:29:53 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:29:54 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/f8984906-7392-4305-88fa-ae9a4808fa8d/invoke \"HTTP/1.1 200 OK\"\n", - " 48%|███████████████████---------------------| 3511/7340 [123:35<134:47, 28.4 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:29:54,670 - agent.ComputerAgent - INFO - Computer: click({'x': 399, 'y': 541})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 399, 'y': 541})\n", - "2025-08-11 17:29:55,330 - agent.ComputerAgent - INFO - LLM processing started with 41 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 41 messages\n", - "\u001b[92m17:29:55 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b6bbc5bc-5598-4043-be1e-6ebf2da5f046/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 48%|███████████████████---------------------| 3513/7340 [123:37<134:40, 28.4 steps/min]\u001b[92m17:29:56 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:29:57,015 - agent.ComputerAgent - INFO - LLM processing started with 26 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 26 messages\n", - "\u001b[92m17:29:57 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m17:29:57 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/3bde46c9-685b-4102-9ef4-a1535d5fcc85/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 48%|███████████████████---------------------| 3514/7340 [123:38<134:37, 28.4 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:29:57,710 - agent.ComputerAgent - INFO - Computer: click({'x': 525, 'y': 400})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 525, 'y': 400})\n", - "\u001b[92m17:29:57 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m17:29:58 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:29:59,392 - agent.ComputerAgent - INFO - LLM processing started with 8 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 8 messages\n", - "\u001b[92m17:29:59 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 17:30:00,039 - agent.ComputerAgent - INFO - Computer: click({'x': 1009, 'y': 101})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 1009, 'y': 101})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/792a6953-2092-47e4-a8a8-57a4af4e3be1/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - " 48%|███████████████████---------------------| 3515/7340 [123:41<134:36, 28.4 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 17:30:00,720 - agent.ComputerAgent - INFO - LLM processing started with 30 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 30 messages\n", - "\u001b[92m17:30:00 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m17:30:00 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:30:01,758 - agent.ComputerAgent - INFO - Computer: scroll({'scroll_y': -657, 'scroll_x': 0, 'x': 988, 'y': 427})\n", - "INFO:agent.ComputerAgent:Computer: scroll({'scroll_y': -657, 'scroll_x': 0, 'x': 988, 'y': 427})\n", - " 48%|███████████████████---------------------| 3517/7340 [123:43<134:29, 28.4 steps/min]2025-08-11 17:30:02,459 - agent.ComputerAgent - INFO - LLM processing started with 18 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 18 messages\n", - "\u001b[92m17:30:02 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m17:30:03 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b6bbc5bc-5598-4043-be1e-6ebf2da5f046/close \"HTTP/1.1 200 OK\"\n", - " 48%|███████████████████---------------------| 3518/7340 [123:44<134:26, 28.4 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m17:30:03 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:30:04,432 - agent.ComputerAgent - INFO - Computer: scroll({'scroll_y': 638, 'scroll_x': 0, 'x': 90, 'y': 244})\n", - "INFO:agent.ComputerAgent:Computer: scroll({'scroll_y': 638, 'scroll_x': 0, 'x': 90, 'y': 244})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/f8984906-7392-4305-88fa-ae9a4808fa8d/invoke \"HTTP/1.1 200 OK\"\n", - " 48%|███████████████████---------------------| 3518/7340 [123:46<134:27, 28.4 steps/min]2025-08-11 17:30:05,089 - agent.ComputerAgent - INFO - LLM processing started with 43 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 43 messages\n", - "\u001b[92m17:30:05 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 48%|███████████████████---------------------| 3519/7340 [123:47<134:24, 28.4 steps/min]INFO:httpx:HTTP Request: GET https://orchestration.hud.so/hud-gym/api/v1/gyms/OSWorld-Ubuntu \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/57944bbf-74a1-4e6d-9401-f7b0144460f7/invoke \"HTTP/1.1 200 OK\"\n", - " 48%|███████████████████---------------------| 3519/7340 [123:48<134:25, 28.4 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/a4b4d291-1fca-4038-8670-448014a55182/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/fde8bca8-8a90-4fed-b46f-c24829445665/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/479a3737-3ad4-48da-b73f-c8ea6e38d096/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 17:30:07,300 - agent.ComputerAgent - INFO - LLM processing started with 36 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 36 messages\n", - "\u001b[92m17:30:07 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m17:30:07 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 17:30:08,649 - agent.ComputerAgent - INFO - LLM processing started with 14 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 14 messages\n", - "\u001b[92m17:30:08 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 48%|███████████████████---------------------| 3520/7340 [123:50<134:23, 28.4 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 17:30:09,313 - agent.ComputerAgent - INFO - LLM processing started with 26 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 26 messages\n", - "\u001b[92m17:30:09 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "Loading checkpoint shards: 0%| | 0/4 [00:00&1 | sed -n '1,120p'\\n\"})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': \"ffmpeg -hide_banner -i video.mp4 2>&1 | sed -n '1,120p'\\n\"})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/83c40b56-f0bf-4b3a-97a5-8a1ae567e0a1/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/8d107e49-ae48-4b20-a0a1-7facc71e66f7/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m18:10:31 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 62%|████████████████████████----------------| 4522/7340 [164:12<102:20, 27.5 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 18:10:31,841 - agent.ComputerAgent - INFO - Computer: click({'x': 802, 'y': 437})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 802, 'y': 437})\n", - "2025-08-11 18:10:32,505 - agent.ComputerAgent - INFO - Computer: click({'x': 745, 'y': 540})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 745, 'y': 540})\n", - "2025-08-11 18:10:33,146 - agent.ComputerAgent - INFO - LLM processing started with 30 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 30 messages\n", - "\u001b[92m18:10:33 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/f096381e-eb5b-49dc-8943-c821405cce10/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/afdc88be-f209-412c-8905-25f3e8cbf43a/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/53e1a378-de8f-4a22-9dc0-27eef85d8356/invoke \"HTTP/1.1 200 OK\"\n", - " 62%|████████████████████████----------------| 4523/7340 [164:14<102:17, 27.5 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 18:10:33,803 - agent.ComputerAgent - INFO - LLM processing started with 30 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 30 messages\n", - "\u001b[92m18:10:33 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m18:10:33 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 18:10:34,476 - agent.ComputerAgent - INFO - LLM processing started with 36 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 36 messages\n", - "\u001b[92m18:10:34 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 18:10:35,141 - agent.ComputerAgent - INFO - Computer: click({'x': 205, 'y': 152})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 205, 'y': 152})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m18:10:35 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/91803c09-cf12-4c24-92ec-24bcf68c0897/invoke \"HTTP/1.1 200 OK\"\n", - " 62%|████████████████████████----------------| 4525/7340 [164:17<102:12, 27.5 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 18:10:36,437 - agent.ComputerAgent - INFO - LLM processing started with 16 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 16 messages\n", - "\u001b[92m18:10:36 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m18:10:36 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m18:10:37 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 18:10:37,794 - agent.ComputerAgent - INFO - Computer: click({'x': 1014, 'y': 31})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 1014, 'y': 31})\n", - " 62%|████████████████████████----------------| 4526/7340 [164:19<102:10, 27.5 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 18:10:38,466 - agent.ComputerAgent - INFO - LLM processing started with 12 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 12 messages\n", - "\u001b[92m18:10:38 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m18:10:38 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 18:10:39,125 - agent.ComputerAgent - INFO - Computer: click({'x': 399, 'y': 354})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 399, 'y': 354})\n", - " 62%|████████████████████████----------------| 4527/7340 [164:20<102:07, 27.5 steps/min]2025-08-11 18:10:39,795 - agent.ComputerAgent - INFO - LLM processing started with 1 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 1 messages\n", - "\u001b[92m18:10:39 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m18:10:40 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 62%|████████████████████████----------------| 4528/7340 [164:22<102:04, 27.5 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m18:10:41 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m18:10:41 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 18:10:42,145 - agent.ComputerAgent - INFO - Computer: click({'x': 437, 'y': 99})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 437, 'y': 99})\n", - "\u001b[92m18:10:42 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/f55f73a3-1816-4f61-8ec1-88f743cec333/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b01cd4a6-3203-476b-8ece-c651b889f821/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - " 62%|████████████████████████----------------| 4528/7340 [164:24<102:06, 27.5 steps/min]\u001b[92m18:10:42 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 18:10:43,477 - agent.ComputerAgent - INFO - Computer: click({'x': 46, 'y': 52})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 46, 'y': 52})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/941d9ec3-7c28-40f6-b948-70db95115571/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/91803c09-cf12-4c24-92ec-24bcf68c0897/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/c83605a3-e62d-48d7-8568-f181d5627773/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/fcdab7d3-0448-49dd-b2db-f79a7c74a08b/invoke \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 18:10:44,127 - agent.ComputerAgent - INFO - LLM processing started with 18 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 18 messages\n", - "\u001b[92m18:10:44 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 18:10:44,765 - agent.ComputerAgent - INFO - LLM processing started with 22 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 22 messages\n", - "\u001b[92m18:10:44 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 18:10:45,424 - agent.ComputerAgent - INFO - LLM processing started with 30 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 30 messages\n", - "\u001b[92m18:10:45 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m18:10:45 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 62%|████████████████████████----------------| 4545/7340 [164:27<101:07, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/f0aa6a3e-e61f-49b1-ade9-e8150e333596/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/cb48f65f-d00e-465a-a0ea-394e844382ca/invoke \"HTTP/1.1 200 OK\"\n", - "\u001b[92m18:10:45 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 18:10:46,114 - agent.ComputerAgent - INFO - LLM processing started with 38 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 38 messages\n", - "\u001b[92m18:10:46 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m18:10:46 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 18:10:46,753 - agent.ComputerAgent - INFO - Computer: drag({'path': [{'x': 51, 'y': 730}, {'x': 991, 'y': 759}]})\n", - "INFO:agent.ComputerAgent:Computer: drag({'path': [{'x': 51, 'y': 730}, {'x': 991, 'y': 759}]})\n", - "2025-08-11 18:10:47,399 - agent.ComputerAgent - INFO - LLM processing started with 24 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 24 messages\n", - "\u001b[92m18:10:47 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 62%|████████████████████████----------------| 4546/7340 [164:29<101:05, 27.6 steps/min]2025-08-11 18:10:48,065 - agent.ComputerAgent - INFO - LLM processing started with 1 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 1 messages\n", - "\u001b[92m18:10:48 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m18:10:48 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/91803c09-cf12-4c24-92ec-24bcf68c0897/close \"HTTP/1.1 200 OK\"\n", - " 62%|████████████████████████----------------| 4547/7340 [164:30<101:02, 27.6 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m18:10:49 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m18:10:50 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 18:10:50,780 - agent.ComputerAgent - INFO - Agent: Taking a screenshot to see the current computer screen.\n", - "INFO:agent.ComputerAgent:Agent: Taking a screenshot to see the current computer screen.\n", - "2025-08-11 18:10:50,781 - agent.ComputerAgent - INFO - Computer: click({'x': 18, 'y': 237})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 18, 'y': 237})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m18:10:51 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 62%|████████████████████████----------------| 4547/7340 [164:33<101:04, 27.6 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Loading checkpoint shards: 0%| | 0/4 [00:00\n", - " 64%|█████████████████████████---------------| 4702/7340 [170:06<95:26, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/f55f73a3-1816-4f61-8ec1-88f743cec333/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/2bf9cd89-2d6a-4856-a09d-a771bc278600/invoke \"HTTP/1.1 200 OK\"\n", - "Loading checkpoint shards: 0%| | 0/4 [00:00 Settings > Privacy and security > Security > Safe Browsing.\n", - "\n", - "Task completed\n", - "INFO:agent.ComputerAgent:Agent: Chrome’s Safe Browsing is now set to Enhanced protection. You’ll get real-time warnings about potentially harmful or deceptive websites, dangerous downloads, and malicious extensions.\n", - "\n", - "If you ever want to change this: Chrome menu > Settings > Privacy and security > Security > Safe Browsing.\n", - "\n", - "Task completed\n", - "2025-08-11 18:22:14,920 - agent.ComputerAgent - INFO - Total usage:\n", - " - completion_tokens: 514\n", - " - prompt_tokens: 6726\n", - " - total_tokens: 7240\n", - " - completion_tokens_details:\n", - " - accepted_prediction_tokens: 0\n", - " - audio_tokens: 0\n", - " - reasoning_tokens: 448\n", - " - rejected_prediction_tokens: 0\n", - " - prompt_tokens_details:\n", - " - audio_tokens: 0\n", - " - cached_tokens: 0\n", - " - response_cost: $0.0135\n", - "INFO:agent.ComputerAgent:Total usage:\n", - " - completion_tokens: 514\n", - " - prompt_tokens: 6726\n", - " - total_tokens: 7240\n", - " - completion_tokens_details:\n", - " - accepted_prediction_tokens: 0\n", - " - audio_tokens: 0\n", - " - reasoning_tokens: 448\n", - " - rejected_prediction_tokens: 0\n", - " - prompt_tokens_details:\n", - " - audio_tokens: 0\n", - " - cached_tokens: 0\n", - " - response_cost: $0.0135\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m18:22:15 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/26d5566b-d949-4b71-accb-45197078f693/invoke \"HTTP/1.1 200 OK\"\n", - " 66%|██████████████████████████--------------| 4823/7340 [175:57<91:49, 27.4 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 18:22:16,260 - agent.ComputerAgent - INFO - LLM processing started with 21 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 21 messages\n", - "\u001b[92m18:22:16 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 66%|██████████████████████████--------------| 4823/7340 [175:58<91:50, 27.4 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/cfe4e097-0434-4025-a00a-78e26d753e51/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/d9bc2461-8bd1-4c45-bebd-f473293c581c/invoke \"HTTP/1.1 200 OK\"\n", - " 66%|██████████████████████████--------------| 4824/7340 [175:59<91:47, 27.4 steps/min]2025-08-11 18:22:17,920 - agent.ComputerAgent - INFO - LLM processing started with 20 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 20 messages\n", - "\u001b[92m18:22:17 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/26d5566b-d949-4b71-accb-45197078f693/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 18:22:19,103 - agent.ComputerAgent - INFO - LLM processing started with 23 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 23 messages\n", - " 66%|██████████████████████████--------------| 4824/7340 [176:00<91:48, 27.4 steps/min]\u001b[92m18:22:19 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m18:22:19 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 18:22:19,764 - agent.ComputerAgent - INFO - Computer: click({'x': 120, 'y': 53})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 120, 'y': 53})\n", - " 66%|██████████████████████████--------------| 4824/7340 [176:01<91:48, 27.4 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/d9bc2461-8bd1-4c45-bebd-f473293c581c/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - " 66%|██████████████████████████--------------| 4838/7340 [176:02<91:02, 27.5 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/d9bc2461-8bd1-4c45-bebd-f473293c581c/close \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m18:22:21 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/26d5566b-d949-4b71-accb-45197078f693/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/a4a2a38e-bec8-46b5-b9c9-3e82144e6ff7/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 18:22:22,630 - agent.ComputerAgent - INFO - LLM processing started with 25 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 25 messages\n", - "\u001b[92m18:22:22 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 18:22:23,272 - agent.ComputerAgent - INFO - Computer: click({'x': 833, 'y': 385})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 833, 'y': 385})\n", - " 66%|██████████████████████████--------------| 4838/7340 [176:05<91:03, 27.5 steps/min]2025-08-11 18:22:23,933 - agent.ComputerAgent - INFO - LLM processing started with 10 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 10 messages\n", - "\u001b[92m18:22:23 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: GET https://orchestration.hud.so/hud-gym/api/v1/gyms/OSWorld-Ubuntu \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 18:22:25,259 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ctrl+alt+t'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ctrl+alt+t'})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - " 66%|██████████████████████████--------------| 4840/7340 [176:07<90:58, 27.5 steps/min]\u001b[92m18:22:25 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 18:22:25,941 - agent.ComputerAgent - INFO - Computer: click({'x': 989, 'y': 73})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 989, 'y': 73})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/06215fad-881b-4e96-84a9-854f2d453fc5/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 18:22:26,601 - agent.ComputerAgent - INFO - LLM processing started with 20 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 20 messages\n", - "\u001b[92m18:22:26 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 66%|██████████████████████████--------------| 4840/7340 [176:08<90:58, 27.5 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 18:22:27,300 - agent.ComputerAgent - INFO - LLM processing started with 8 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 8 messages\n", - "\u001b[92m18:22:27 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m18:22:27 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 18:22:27,963 - agent.ComputerAgent - INFO - Computer: click({'x': 901, 'y': 312})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 901, 'y': 312})\n", - " 66%|██████████████████████████--------------| 4841/7340 [176:09<90:56, 27.5 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m18:22:28 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/26d5566b-d949-4b71-accb-45197078f693/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/ad87d89c-437d-4ed4-b0f0-a157e7d11bbd/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 18:22:29,233 - agent.ComputerAgent - INFO - LLM processing started with 27 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 27 messages\n", - "\u001b[92m18:22:29 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "Loading checkpoint shards: 0%| | 0/4 [00:00 Lock).\n", - "2) Select the text box from the Layers/Selection panel (don’t click on the canvas).\n", - "3) Snap it to the left edge:\n", - "- Either set the X position to 0.\n", - "- Or use the Align Left to canvas/page/artboard command.\n", - "4) Unlock/show the image layer again if needed.\n", - "\n", - "Exact steps by app\n", - "- Figma:\n", - " - Lock image: Ctrl+Shift+L (Cmd+Shift+L on Mac) or click the lock icon in Layers.\n", - " - Select the text layer in Layers.\n", - " - In the right panel, set X = 0. Or select the frame and the text, then click Align left. Tip: Cmd/Ctrl+Click cycles through stacked layers; Right‑click > Select layer also helps.\n", - "\n", - "- Photoshop:\n", - " - Lock image layer (padlock in Layers).\n", - " - Select text layer in Layers.\n", - " - Press V for Move tool. Press Ctrl+A (Cmd+A) to Select All, click Align left edges in the top options bar, then Ctrl+D (Cmd+D) to deselect. Alternatively, Window > Properties and set X = 0 px.\n", - "\n", - "- Illustrator:\n", - " - Lock image: Object > Lock > Selection (Ctrl+2 / Cmd+2) or lock in Layers.\n", - " - Select text object.\n", - " - Align panel: set Align To = Artboard, then Horizontal Align Left. Or Transform panel X = 0.\n", - "\n", - "- InDesign:\n", - " - Lock image (Ctrl+L / Cmd+L) or via Layers.\n", - " - Select text frame.\n", - " - Window > Object & Layout > Align. Set Align To = Page, then Align Left. Or set X = 0 in the Control/Properties panel.\n", - "\n", - "- Canva:\n", - " - Select image > Lock (padlock on toolbar).\n", - " - Select text > Position > Left. Nudge with arrow keys if needed; it will snap to the page edge.\n", - "\n", - "- PowerPoint:\n", - " - Home > Select > Selection Pane: click the eye to hide the image (or select the text from the pane).\n", - " - Shape Format > Align > Align to Slide > Align Left.\n", - "\n", - "- Google Slides:\n", - " - Arrange > Order to move im...\n", - "INFO:agent.ComputerAgent:Agent: I can’t see your design app/document open on this computer, so I can’t move the text box directly. Here’s the fastest, foolproof way to get your text box flush left without ever clicking the image again:\n", - "\n", - "Universal quick steps (work in any editor)\n", - "1) Lock or hide the image layer.\n", - "- Use the Layers/Selection panel and click the lock icon on the image layer (or right‑click > Lock).\n", - "2) Select the text box from the Layers/Selection panel (don’t click on the canvas).\n", - "3) Snap it to the left edge:\n", - "- Either set the X position to 0.\n", - "- Or use the Align Left to canvas/page/artboard command.\n", - "4) Unlock/show the image layer again if needed.\n", - "\n", - "Exact steps by app\n", - "- Figma:\n", - " - Lock image: Ctrl+Shift+L (Cmd+Shift+L on Mac) or click the lock icon in Layers.\n", - " - Select the text layer in Layers.\n", - " - In the right panel, set X = 0. Or select the frame and the text, then click Align left. Tip: Cmd/Ctrl+Click cycles through stacked layers; Right‑click > Select layer also helps.\n", - "\n", - "- Photoshop:\n", - " - Lock image layer (padlock in Layers).\n", - " - Select text layer in Layers.\n", - " - Press V for Move tool. Press Ctrl+A (Cmd+A) to Select All, click Align left edges in the top options bar, then Ctrl+D (Cmd+D) to deselect. Alternatively, Window > Properties and set X = 0 px.\n", - "\n", - "- Illustrator:\n", - " - Lock image: Object > Lock > Selection (Ctrl+2 / Cmd+2) or lock in Layers.\n", - " - Select text object.\n", - " - Align panel: set Align To = Artboard, then Horizontal Align Left. Or Transform panel X = 0.\n", - "\n", - "- InDesign:\n", - " - Lock image (Ctrl+L / Cmd+L) or via Layers.\n", - " - Select text frame.\n", - " - Window > Object & Layout > Align. Set Align To = Page, then Align Left. Or set X = 0 in the Control/Properties panel.\n", - "\n", - "- Canva:\n", - " - Select image > Lock (padlock on toolbar).\n", - " - Select text > Position > Left. Nudge with arrow keys if needed; it will snap to the page edge.\n", - "\n", - "- PowerPoint:\n", - " - Home > Select > Selection Pane: click the eye to hide the image (or select the text from the pane).\n", - " - Shape Format > Align > Align to Slide > Align Left.\n", - "\n", - "- Google Slides:\n", - " - Arrange > Order to move im...\n", - "2025-08-11 18:35:23,380 - agent.ComputerAgent - INFO - Total usage:\n", - " - completion_tokens: 3277\n", - " - prompt_tokens: 1951\n", - " - total_tokens: 5228\n", - " - completion_tokens_details:\n", - " - accepted_prediction_tokens: 0\n", - " - audio_tokens: 0\n", - " - reasoning_tokens: 2624\n", - " - rejected_prediction_tokens: 0\n", - " - prompt_tokens_details:\n", - " - audio_tokens: 0\n", - " - cached_tokens: 0\n", - " - response_cost: $0.0352\n", - "INFO:agent.ComputerAgent:Total usage:\n", - " - completion_tokens: 3277\n", - " - prompt_tokens: 1951\n", - " - total_tokens: 5228\n", - " - completion_tokens_details:\n", - " - accepted_prediction_tokens: 0\n", - " - audio_tokens: 0\n", - " - reasoning_tokens: 2624\n", - " - rejected_prediction_tokens: 0\n", - " - prompt_tokens_details:\n", - " - audio_tokens: 0\n", - " - cached_tokens: 0\n", - " - response_cost: $0.0352\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/d05e9e78-ad03-41fc-a347-043ec46bd299/invoke \"HTTP/1.1 200 OK\"\n", - " 70%|████████████████████████████------------| 5147/7340 [189:05<80:33, 27.2 steps/min]2025-08-11 18:35:24,059 - agent.ComputerAgent - INFO - LLM processing started with 33 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 33 messages\n", - "\u001b[92m18:35:24 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 70%|████████████████████████████------------| 5147/7340 [189:06<80:34, 27.2 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m18:35:25 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 70%|████████████████████████████------------| 5147/7340 [189:07<80:34, 27.2 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/c268b680-eafe-4b8d-914a-28e5540231cd/invoke \"HTTP/1.1 200 OK\"\n", - "\u001b[92m18:35:25 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m18:35:25 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m18:35:26 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0d923fcd-4666-4869-8ad2-17460c904167/invoke \"HTTP/1.1 200 OK\"\n", - "\u001b[92m18:35:26 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 70%|████████████████████████████------------| 5147/7340 [189:08<80:35, 27.2 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 18:35:27,111 - agent.ComputerAgent - INFO - Computer: drag({'path': [{'x': 76, 'y': 181}, {'x': 124, 'y': 181}]})\n", - "INFO:agent.ComputerAgent:Computer: drag({'path': [{'x': 76, 'y': 181}, {'x': 124, 'y': 181}]})\n", - "\u001b[92m18:35:27 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 18:35:27,806 - agent.ComputerAgent - INFO - Computer: click({'x': 290, 'y': 149})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 290, 'y': 149})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - " 70%|████████████████████████████------------| 5148/7340 [189:09<80:32, 27.2 steps/min]2025-08-11 18:35:28,462 - agent.ComputerAgent - INFO - LLM processing started with 32 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 32 messages\n", - "\u001b[92m18:35:28 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 70%|████████████████████████████------------| 5150/7340 [189:10<80:26, 27.2 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/d05e9e78-ad03-41fc-a347-043ec46bd299/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 18:35:29,639 - agent.ComputerAgent - INFO - LLM processing started with 35 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 35 messages\n", - "\u001b[92m18:35:29 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 70%|████████████████████████████------------| 5150/7340 [189:13<80:28, 27.2 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/2350cfc0-8e2e-4302-b87c-df7d35bd6eea/invoke \"HTTP/1.1 200 OK\"\n", - " 70%|████████████████████████████------------| 5151/7340 [189:14<80:25, 27.2 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/d05e9e78-ad03-41fc-a347-043ec46bd299/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 18:35:33,840 - agent.ComputerAgent - INFO - LLM processing started with 37 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 37 messages\n", - "\u001b[92m18:35:33 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/89880137-9134-4973-9389-b3535802254c/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 70%|████████████████████████████------------| 5151/7340 [189:15<80:25, 27.2 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m18:35:34 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 70%|████████████████████████████------------| 5151/7340 [189:16<80:26, 27.2 steps/min]\u001b[92m18:35:35 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 18:35:35,720 - agent.ComputerAgent - INFO - Computer: click({'x': 207, 'y': 488})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 207, 'y': 488})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - " 70%|████████████████████████████------------| 5152/7340 [189:17<80:23, 27.2 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/2350cfc0-8e2e-4302-b87c-df7d35bd6eea/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/c268b680-eafe-4b8d-914a-28e5540231cd/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 18:35:38,050 - agent.ComputerAgent - INFO - Agent: I converted the opened ODS on your Desktop to a CSV with the same base name while LibreOffice was running.\n", - "\n", - "Command used:\n", - "mkdir -p /tmp/lo-temp-profile && libreoffice --headless -env:UserInstallation=file:///tmp/lo-temp-profile --convert-to \"csv:Text - txt - csv (StarCalc):44,34,0\" --outdir ~/Desktop ~/Desktop/file_example_ODS_5000.ods\n", - "\n", - "Notes:\n", - "- A temporary LibreOffice profile was used (-env:UserInstallation=…) so the conversion works even with the GUI instance open.\n", - "- The CSV file has been created on your Desktop as file_example_ODS_5000.csv.\n", - "\n", - "Task completed.\n", - "INFO:agent.ComputerAgent:Agent: I converted the opened ODS on your Desktop to a CSV with the same base name while LibreOffice was running.\n", - "\n", - "Command used:\n", - "mkdir -p /tmp/lo-temp-profile && libreoffice --headless -env:UserInstallation=file:///tmp/lo-temp-profile --convert-to \"csv:Text - txt - csv (StarCalc):44,34,0\" --outdir ~/Desktop ~/Desktop/file_example_ODS_5000.ods\n", - "\n", - "Notes:\n", - "- A temporary LibreOffice profile was used (-env:UserInstallation=…) so the conversion works even with the GUI instance open.\n", - "- The CSV file has been created on your Desktop as file_example_ODS_5000.csv.\n", - "\n", - "Task completed.\n", - "2025-08-11 18:35:38,700 - agent.ComputerAgent - INFO - Total usage:\n", - " - completion_tokens: 920\n", - " - prompt_tokens: 10826\n", - " - total_tokens: 11746\n", - " - completion_tokens_details:\n", - " - accepted_prediction_tokens: 0\n", - " - audio_tokens: 0\n", - " - reasoning_tokens: 768\n", - " - rejected_prediction_tokens: 0\n", - " - prompt_tokens_details:\n", - " - audio_tokens: 0\n", - " - cached_tokens: 0\n", - " - response_cost: $0.0227\n", - "INFO:agent.ComputerAgent:Total usage:\n", - " - completion_tokens: 920\n", - " - prompt_tokens: 10826\n", - " - total_tokens: 11746\n", - " - completion_tokens_details:\n", - " - accepted_prediction_tokens: 0\n", - " - audio_tokens: 0\n", - " - reasoning_tokens: 768\n", - " - rejected_prediction_tokens: 0\n", - " - prompt_tokens_details:\n", - " - audio_tokens: 0\n", - " - cached_tokens: 0\n", - " - response_cost: $0.0227\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/2350cfc0-8e2e-4302-b87c-df7d35bd6eea/close \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/c268b680-eafe-4b8d-914a-28e5540231cd/close \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/d05e9e78-ad03-41fc-a347-043ec46bd299/invoke \"HTTP/1.1 200 OK\"\n", - " 70%|████████████████████████████------------| 5173/7340 [189:20<79:18, 27.3 steps/min]2025-08-11 18:35:39,393 - agent.ComputerAgent - INFO - LLM processing started with 39 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 39 messages\n", - "\u001b[92m18:35:39 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/055914cd-07b0-4dcd-9407-c6975b1eccbf/invoke \"HTTP/1.1 200 OK\"\n", - " 70%|████████████████████████████------------| 5173/7340 [189:22<79:19, 27.3 steps/min]2025-08-11 18:35:41,381 - agent.ComputerAgent - INFO - LLM processing started with 30 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 30 messages\n", - "\u001b[92m18:35:41 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: GET https://orchestration.hud.so/hud-gym/api/v1/gyms/OSWorld-Ubuntu \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v1/environments/655a0f34-fb5e-49f8-9a65-531af668d6c6/reset \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: GET https://orchestration.hud.so/hud-gym/api/v1/gyms/OSWorld-Ubuntu \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m18:35:42 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/5afdf327-0d8f-4749-8016-19cb1aedf273/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v1/environments/7a6ead00-3730-4f34-9acb-3c8109ec140a/reset \"HTTP/1.1 200 OK\"\n", - " 70%|████████████████████████████------------| 5173/7340 [189:24<79:20, 27.3 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - " 70%|████████████████████████████------------| 5174/7340 [189:25<79:18, 27.3 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/5afdf327-0d8f-4749-8016-19cb1aedf273/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/d05e9e78-ad03-41fc-a347-043ec46bd299/invoke \"HTTP/1.1 200 OK\"\n", - "Loading checkpoint shards: 25%|██▌ | 1/4 [00:01<00:04, 1.67s/it]2025-08-11 18:35:45,241 - agent.ComputerAgent - INFO - LLM processing started with 41 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 41 messages\n", - "\u001b[92m18:35:45 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 71%|████████████████████████████------------| 5182/7340 [189:26<78:53, 27.4 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/5afdf327-0d8f-4749-8016-19cb1aedf273/close \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/7a6ead00-3730-4f34-9acb-3c8109ec140a/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/655a0f34-fb5e-49f8-9a65-531af668d6c6/invoke \"HTTP/1.1 200 OK\"\n", - "Loading checkpoint shards: 50%|█████ | 2/4 [00:03<00:03, 1.62s/it]27.4 steps/min]2025-08-11 18:35:47,491 - agent.ComputerAgent - INFO - LLM processing started with 1 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 1 messages\n", - "\u001b[92m18:35:47 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - "INFO:httpx:HTTP Request: GET https://orchestration.hud.so/hud-gym/api/v1/gyms/OSWorld-Ubuntu \"HTTP/1.1 200 OK\"\n", - "Loading checkpoint shards: 75%|███████▌ | 3/4 [00:04<00:01, 1.58s/it]27.4 steps/min]2025-08-11 18:35:48,319 - agent.ComputerAgent - INFO - LLM processing started with 1 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 1 messages\n", - "\u001b[92m18:35:48 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "Loading checkpoint shards: 100%|██████████| 4/4 [00:05<00:00, 1.33s/it]27.4 steps/min]\n", - " 71%|████████████████████████████------------| 5183/7340 [189:31<78:52, 27.3 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/d05e9e78-ad03-41fc-a347-043ec46bd299/invoke \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 18:35:50,250 - agent.ComputerAgent - INFO - LLM processing started with 43 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 43 messages\n", - "\u001b[92m18:35:50 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 71%|████████████████████████████------------| 5183/7340 [189:32<78:52, 27.3 steps/min]\u001b[92m18:35:50 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 18:35:50,943 - agent.ComputerAgent - INFO - Computer: scroll({'scroll_y': 713, 'scroll_x': 0, 'x': 716, 'y': 646})\n", - "INFO:agent.ComputerAgent:Computer: scroll({'scroll_y': 713, 'scroll_x': 0, 'x': 716, 'y': 646})\n", - " 71%|████████████████████████████------------| 5184/7340 [189:34<78:50, 27.3 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - " 71%|████████████████████████████------------| 5185/7340 [189:35<78:47, 27.3 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/d05e9e78-ad03-41fc-a347-043ec46bd299/invoke \"HTTP/1.1 200 OK\"\n", - " 71%|████████████████████████████------------| 5185/7340 [189:38<78:49, 27.3 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m18:35:57 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 71%|████████████████████████████------------| 5185/7340 [189:39<78:49, 27.3 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9b006d7b-b853-41ed-8a84-b7eaa5b6e94b/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/d05e9e78-ad03-41fc-a347-043ec46bd299/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Loading checkpoint shards: 25%|██▌ | 1/4 [00:01<00:04, 1.66s/it]2025-08-11 18:35:59,836 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ctrl+shift+p'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ctrl+shift+p'})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/d05e9e78-ad03-41fc-a347-043ec46bd299/close \"HTTP/1.1 200 OK\"\n", - "Loading checkpoint shards: 50%|█████ | 2/4 [00:03<00:03, 1.61s/it]27.3 steps/min]2025-08-11 18:36:01,386 - agent.ComputerAgent - INFO - LLM processing started with 34 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 34 messages\n", - "\u001b[92m18:36:01 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 71%|████████████████████████████------------| 5185/7340 [189:43<78:51, 27.3 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 18:36:02,052 - agent.ComputerAgent - INFO - LLM processing started with 36 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 36 messages\n", - "\u001b[92m18:36:02 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "Loading checkpoint shards: 100%|██████████| 4/4 [00:05<00:00, 1.40s/it]27.3 steps/min]\n", - "INFO:httpx:HTTP Request: GET https://orchestration.hud.so/hud-gym/api/v1/gyms/OSWorld-Ubuntu \"HTTP/1.1 200 OK\"\n", - " 71%|████████████████████████████------------| 5185/7340 [189:46<78:52, 27.3 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m18:36:06 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 71%|████████████████████████████------------| 5185/7340 [189:47<78:52, 27.3 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Loading checkpoint shards: 25%|██▌ | 1/4 [00:01<00:04, 1.64s/it]27.3 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/89880137-9134-4973-9389-b3535802254c/invoke \"HTTP/1.1 200 OK\"\n", - " 71%|████████████████████████████------------| 5186/7340 [189:49<78:50, 27.3 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/create_environment \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/89880137-9134-4973-9389-b3535802254c/close \"HTTP/1.1 200 OK\"\n", - " 71%|████████████████████████████------------| 5186/7340 [189:51<78:51, 27.3 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/497d5104-1e6e-44a9-a164-fec745a337b6/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: GET https://orchestration.hud.so/hud-gym/api/v1/gyms/OSWorld-Ubuntu \"HTTP/1.1 200 OK\"\n", - "Loading checkpoint shards: 100%|██████████| 4/4 [00:05<00:00, 1.35s/it]27.3 steps/min]\n", - "\u001b[92m18:36:11 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 18:36:12,164 - agent.ComputerAgent - INFO - Agent: Taking a screenshot to see the current computer screen.\n", - "INFO:agent.ComputerAgent:Agent: Taking a screenshot to see the current computer screen.\n", - "2025-08-11 18:36:12,165 - agent.ComputerAgent - INFO - Computer: click({'x': 16, 'y': 428})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 16, 'y': 428})\n", - " 71%|████████████████████████████------------| 5186/7340 [189:54<78:52, 27.3 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 71%|████████████████████████████------------| 5187/7340 [189:56<78:50, 27.3 steps/min]\u001b[92m18:36:14 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 18:36:15,365 - agent.ComputerAgent - INFO - Agent: Taking a screenshot to see the current computer screen.\n", - "INFO:agent.ComputerAgent:Agent: Taking a screenshot to see the current computer screen.\n", - "2025-08-11 18:36:15,367 - agent.ComputerAgent - INFO - Computer: double_click({'x': 989, 'y': 650})\n", - "INFO:agent.ComputerAgent:Computer: double_click({'x': 989, 'y': 650})\n", - " 71%|████████████████████████████------------| 5188/7340 [189:59<78:48, 27.3 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/655a0f34-fb5e-49f8-9a65-531af668d6c6/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 18:36:18,079 - agent.ComputerAgent - INFO - LLM processing started with 6 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 6 messages\n", - "\u001b[92m18:36:18 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 71%|████████████████████████████------------| 5188/7340 [190:02<78:49, 27.3 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/7a6ead00-3730-4f34-9acb-3c8109ec140a/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 18:36:21,321 - agent.ComputerAgent - INFO - LLM processing started with 6 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 6 messages\n", - "\u001b[92m18:36:21 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 71%|████████████████████████████------------| 5188/7340 [190:04<78:50, 27.3 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 18:36:24,203 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ctrl+c'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ctrl+c'})\n", - " 71%|████████████████████████████------------| 5188/7340 [190:05<78:51, 27.3 steps/min]2025-08-11 18:36:25,341 - agent.ComputerAgent - INFO - LLM processing started with 32 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 32 messages\n", - "\u001b[92m18:36:25 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 71%|████████████████████████████------------| 5188/7340 [190:07<78:51, 27.3 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 71%|████████████████████████████------------| 5188/7340 [190:10<78:52, 27.3 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 18:36:29,780 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'pagedown'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'pagedown'})\n", - " 71%|████████████████████████████------------| 5189/7340 [190:12<78:50, 27.3 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m18:36:32 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 71%|████████████████████████████------------| 5189/7340 [190:13<78:51, 27.3 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Loading checkpoint shards: 50%|█████ | 2/4 [00:03<00:03, 1.58s/it]27.3 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9b006d7b-b853-41ed-8a84-b7eaa5b6e94b/invoke \"HTTP/1.1 200 OK\"\n", - " 71%|████████████████████████████------------| 5189/7340 [190:17<78:53, 27.3 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Loading checkpoint shards: 75%|███████▌ | 3/4 [00:04<00:01, 1.56s/it]\u001b[92m18:36:37 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Loading checkpoint shards: 100%|██████████| 4/4 [00:05<00:00, 1.31s/it]27.3 steps/min]\n", - "2025-08-11 18:36:37,871 - agent.ComputerAgent - INFO - LLM processing started with 38 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 38 messages\n", - "\u001b[92m18:36:37 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 18:36:39,406 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ctrl+shift+p'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ctrl+shift+p'})\n", - " 71%|████████████████████████████------------| 5189/7340 [190:21<78:54, 27.3 steps/min]\u001b[92m18:36:39 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 18:36:40,047 - agent.ComputerAgent - INFO - Computer: click({'x': 15, 'y': 142})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 15, 'y': 142})\n", - "\u001b[92m18:36:40 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 18:36:40,733 - agent.ComputerAgent - INFO - Computer: click({'x': 15, 'y': 629})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 15, 'y': 629})\n", - " 71%|████████████████████████████------------| 5189/7340 [190:22<78:54, 27.3 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0d923fcd-4666-4869-8ad2-17460c904167/invoke \"HTTP/1.1 200 OK\"\n", - " 71%|████████████████████████████------------| 5201/7340 [190:23<78:18, 27.3 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0d923fcd-4666-4869-8ad2-17460c904167/close \"HTTP/1.1 200 OK\"\n", - " 71%|████████████████████████████------------| 5201/7340 [190:24<78:18, 27.3 steps/min]INFO:httpx:HTTP Request: GET https://orchestration.hud.so/hud-gym/api/v1/gyms/OSWorld-Ubuntu \"HTTP/1.1 200 OK\"\n", - " 71%|████████████████████████████------------| 5201/7340 [190:26<78:19, 27.3 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/7a6ead00-3730-4f34-9acb-3c8109ec140a/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 18:36:46,172 - agent.ComputerAgent - INFO - LLM processing started with 8 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 8 messages\n", - "\u001b[92m18:36:46 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m18:36:46 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/055914cd-07b0-4dcd-9407-c6975b1eccbf/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 71%|████████████████████████████------------| 5201/7340 [190:28<78:20, 27.3 steps/min]2025-08-11 18:36:47,482 - agent.ComputerAgent - INFO - LLM processing started with 34 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 34 messages\n", - "\u001b[92m18:36:47 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/create_environment \"HTTP/1.1 200 OK\"\n", - " 71%|████████████████████████████------------| 5201/7340 [190:30<78:21, 27.3 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b3df65c5-9d1c-44fd-b9bb-37f1f0cd64dc/invoke \"HTTP/1.1 200 OK\"\n", - " 71%|████████████████████████████------------| 5201/7340 [190:32<78:21, 27.3 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/create_environment \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/create_environment \"HTTP/1.1 200 OK\"\n", - " 71%|████████████████████████████------------| 5201/7340 [190:33<78:22, 27.3 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/e42da596-e101-4fd3-9dea-8a1d63615dad/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/1fef1c7a-93ef-4a63-b067-399dfc4ff08a/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v1/environments/b3df65c5-9d1c-44fd-b9bb-37f1f0cd64dc/reset \"HTTP/1.1 200 OK\"\n", - "Loading checkpoint shards: 75%|███████▌ | 3/4 [00:04<00:01, 1.57s/it]27.3 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v1/environments/497d5104-1e6e-44a9-a164-fec745a337b6/reset \"HTTP/1.1 200 OK\"\n", - "Loading checkpoint shards: 100%|██████████| 4/4 [00:05<00:00, 1.32s/it]\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 18:36:55,357 - agent.ComputerAgent - INFO - Computer: wait({})\n", - "INFO:agent.ComputerAgent:Computer: wait({})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b3df65c5-9d1c-44fd-b9bb-37f1f0cd64dc/invoke \"HTTP/1.1 200 OK\"\n", - " 71%|████████████████████████████------------| 5201/7340 [190:37<78:23, 27.3 steps/min]2025-08-11 18:36:56,039 - agent.ComputerAgent - INFO - LLM processing started with 1 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 1 messages\n", - "\u001b[92m18:36:56 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m18:36:56 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 18:36:56,709 - agent.ComputerAgent - INFO - Computer: click({'x': 15, 'y': 387})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 15, 'y': 387})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/497d5104-1e6e-44a9-a164-fec745a337b6/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v1/environments/e42da596-e101-4fd3-9dea-8a1d63615dad/reset \"HTTP/1.1 200 OK\"\n", - " 71%|████████████████████████████------------| 5202/7340 [190:38<78:21, 27.3 steps/min]2025-08-11 18:36:57,382 - agent.ComputerAgent - INFO - LLM processing started with 1 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 1 messages\n", - "\u001b[92m18:36:57 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v1/environments/1fef1c7a-93ef-4a63-b067-399dfc4ff08a/reset \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m18:36:58 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 71%|████████████████████████████------------| 5203/7340 [190:39<78:18, 27.3 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/e42da596-e101-4fd3-9dea-8a1d63615dad/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 18:36:58,641 - agent.ComputerAgent - INFO - LLM processing started with 1 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 1 messages\n", - "\u001b[92m18:36:58 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m18:36:58 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 18:36:59,325 - agent.ComputerAgent - INFO - Computer: click({'x': 368, 'y': 561})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 368, 'y': 561})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/create_environment \"HTTP/1.1 200 OK\"\n", - " 71%|████████████████████████████------------| 5203/7340 [190:41<78:19, 27.3 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/1fef1c7a-93ef-4a63-b067-399dfc4ff08a/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 18:37:00,501 - agent.ComputerAgent - INFO - LLM processing started with 1 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 1 messages\n", - "\u001b[92m18:37:00 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 71%|████████████████████████████------------| 5204/7340 [190:42<78:16, 27.3 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/af5d4b08-d761-4bf8-a2c7-7ce16ed98ab9/invoke \"HTTP/1.1 200 OK\"\n", - " 71%|████████████████████████████------------| 5204/7340 [190:43<78:16, 27.3 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m18:37:02 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/7a6ead00-3730-4f34-9acb-3c8109ec140a/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 18:37:03,933 - agent.ComputerAgent - INFO - Agent: Taking a screenshot to see the current computer screen.\n", - "INFO:agent.ComputerAgent:Agent: Taking a screenshot to see the current computer screen.\n", - "2025-08-11 18:37:03,935 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'meta'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'meta'})\n", - " 71%|████████████████████████████------------| 5204/7340 [190:45<78:17, 27.3 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m18:37:04 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 18:37:05,291 - agent.ComputerAgent - INFO - LLM processing started with 10 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 10 messages\n", - "\u001b[92m18:37:05 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/655a0f34-fb5e-49f8-9a65-531af668d6c6/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m18:37:05 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 18:37:06,012 - agent.ComputerAgent - INFO - Computer: click({'x': 524, 'y': 503})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 524, 'y': 503})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/055914cd-07b0-4dcd-9407-c6975b1eccbf/invoke \"HTTP/1.1 200 OK\"\n", - " 71%|████████████████████████████------------| 5205/7340 [190:47<78:15, 27.3 steps/min]\u001b[92m18:37:06 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 18:37:06,653 - agent.ComputerAgent - INFO - Agent: Taking a screenshot to see the current computer screen.\n", - "INFO:agent.ComputerAgent:Agent: Taking a screenshot to see the current computer screen.\n", - "2025-08-11 18:37:06,654 - agent.ComputerAgent - INFO - Computer: click({'x': 13, 'y': 41})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 13, 'y': 41})\n", - "2025-08-11 18:37:07,313 - agent.ComputerAgent - INFO - LLM processing started with 8 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 8 messages\n", - "\u001b[92m18:37:07 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 18:37:08,648 - agent.ComputerAgent - INFO - Agent: Taking a screenshot to see the current computer screen.\n", - "INFO:agent.ComputerAgent:Agent: Taking a screenshot to see the current computer screen.\n", - "2025-08-11 18:37:08,649 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'win'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'win'})\n", - " 71%|████████████████████████████------------| 5206/7340 [190:50<78:13, 27.3 steps/min]2025-08-11 18:37:09,323 - agent.ComputerAgent - INFO - LLM processing started with 36 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 36 messages\n", - "\u001b[92m18:37:09 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 71%|████████████████████████████------------| 5208/7340 [190:55<78:09, 27.3 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9b006d7b-b853-41ed-8a84-b7eaa5b6e94b/invoke \"HTTP/1.1 200 OK\"\n", - " 71%|████████████████████████████------------| 5208/7340 [190:56<78:09, 27.3 steps/min]2025-08-11 18:37:15,613 - agent.ComputerAgent - INFO - LLM processing started with 40 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 40 messages\n", - "\u001b[92m18:37:15 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b3df65c5-9d1c-44fd-b9bb-37f1f0cd64dc/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/e42da596-e101-4fd3-9dea-8a1d63615dad/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/1fef1c7a-93ef-4a63-b067-399dfc4ff08a/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:openai._base_client:Retrying request to /chat/completions in 0.403242 seconds\n", - " 71%|████████████████████████████------------| 5208/7340 [190:57<78:10, 27.3 steps/min]2025-08-11 18:37:16,773 - agent.ComputerAgent - INFO - LLM processing started with 6 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 6 messages\n", - "\u001b[92m18:37:16 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 18:37:18,458 - agent.ComputerAgent - INFO - Computer: type({'text': 'drive.google.com'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'drive.google.com'})\n", - " 71%|████████████████████████████------------| 5208/7340 [191:00<78:11, 27.3 steps/min]2025-08-11 18:37:19,460 - agent.ComputerAgent - INFO - LLM processing started with 6 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 6 messages\n", - "\u001b[92m18:37:19 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 71%|████████████████████████████------------| 5209/7340 [191:01<78:08, 27.3 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m18:37:20 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 71%|████████████████████████████------------| 5209/7340 [191:02<78:09, 27.3 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 18:37:21,836 - agent.ComputerAgent - INFO - LLM processing started with 6 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 6 messages\n", - "\u001b[92m18:37:21 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 71%|████████████████████████████------------| 5209/7340 [191:03<78:09, 27.3 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m18:37:21 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 18:37:22,505 - agent.ComputerAgent - INFO - Agent: Taking a screenshot to see the current computer screen.\n", - "INFO:agent.ComputerAgent:Agent: Taking a screenshot to see the current computer screen.\n", - "2025-08-11 18:37:22,506 - agent.ComputerAgent - INFO - Computer: click({'x': 1006, 'y': 9})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 1006, 'y': 9})\n", - " 71%|████████████████████████████------------| 5209/7340 [191:04<78:10, 27.3 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 18:37:24,905 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ctrl+v'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ctrl+v'})\n", - " 71%|████████████████████████████------------| 5210/7340 [191:06<78:07, 27.3 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/7a6ead00-3730-4f34-9acb-3c8109ec140a/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 18:37:26,064 - agent.ComputerAgent - INFO - LLM processing started with 12 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 12 messages\n", - "\u001b[92m18:37:26 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 18:37:26,733 - agent.ComputerAgent - INFO - LLM processing started with 38 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 38 messages\n", - " 71%|████████████████████████████------------| 5210/7340 [191:08<78:08, 27.3 steps/min]\u001b[92m18:37:26 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m18:37:27 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m18:37:28 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m18:37:28 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/497d5104-1e6e-44a9-a164-fec745a337b6/invoke \"HTTP/1.1 200 OK\"\n", - " 71%|████████████████████████████------------| 5210/7340 [191:10<78:09, 27.3 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m18:37:28 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 18:37:29,395 - agent.ComputerAgent - INFO - Computer: click({'x': 16, 'y': 429})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 16, 'y': 429})\n", - "\u001b[92m18:37:29 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 18:37:30,066 - agent.ComputerAgent - INFO - Computer: click({'x': 18, 'y': 45})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 18, 'y': 45})\n", - "2025-08-11 18:37:30,744 - agent.ComputerAgent - INFO - LLM processing started with 6 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 6 messages\n", - "\u001b[92m18:37:30 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 71%|████████████████████████████------------| 5210/7340 [191:12<78:10, 27.2 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m18:37:30 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 18:37:31,387 - agent.ComputerAgent - INFO - Computer: click({'x': 18, 'y': 239})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 18, 'y': 239})\n", - " 71%|████████████████████████████------------| 5212/7340 [191:13<78:04, 27.3 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m18:37:32 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/create_environment \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 71%|████████████████████████████------------| 5213/7340 [191:14<78:01, 27.3 steps/min]\u001b[92m18:37:33 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 18:37:33,218 - agent.ComputerAgent - INFO - Computer: click({'x': 49, 'y': 53})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 49, 'y': 53})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 18:37:34,578 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'enter'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'enter'})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/c1b31663-de2f-4fd6-a091-28bf62a74f86/invoke \"HTTP/1.1 200 OK\"\n", - " 71%|████████████████████████████------------| 5214/7340 [191:16<77:59, 27.3 steps/min]INFO:openai._base_client:Retrying request to /chat/completions in 0.421017 seconds\n", - " 71%|████████████████████████████------------| 5215/7340 [191:17<77:56, 27.3 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/1fef1c7a-93ef-4a63-b067-399dfc4ff08a/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 18:37:36,730 - agent.ComputerAgent - INFO - LLM processing started with 8 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 8 messages\n", - "\u001b[92m18:37:36 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b3df65c5-9d1c-44fd-b9bb-37f1f0cd64dc/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 71%|████████████████████████████------------| 5215/7340 [191:18<77:57, 27.3 steps/min]2025-08-11 18:37:37,733 - agent.ComputerAgent - INFO - LLM processing started with 8 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 8 messages\n", - "\u001b[92m18:37:37 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/e42da596-e101-4fd3-9dea-8a1d63615dad/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 71%|████████████████████████████------------| 5215/7340 [191:19<77:57, 27.3 steps/min]2025-08-11 18:37:38,404 - agent.ComputerAgent - INFO - LLM processing started with 8 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 8 messages\n", - "\u001b[92m18:37:38 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m18:37:39 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m18:37:39 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/655a0f34-fb5e-49f8-9a65-531af668d6c6/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 71%|████████████████████████████------------| 5215/7340 [191:21<77:58, 27.3 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/7a6ead00-3730-4f34-9acb-3c8109ec140a/invoke \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 18:37:40,395 - agent.ComputerAgent - INFO - LLM processing started with 10 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 10 messages\n", - "\u001b[92m18:37:40 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m18:37:40 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 18:37:41,082 - agent.ComputerAgent - INFO - Computer: click({'x': 605, 'y': 527})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 605, 'y': 527})\n", - "2025-08-11 18:37:41,718 - agent.ComputerAgent - INFO - LLM processing started with 14 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 14 messages\n", - "\u001b[92m18:37:41 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 71%|████████████████████████████------------| 5215/7340 [191:23<77:59, 27.2 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m18:37:41 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 18:37:42,379 - agent.ComputerAgent - INFO - Computer: click({'x': 525, 'y': 502})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 525, 'y': 502})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m18:37:43 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - " 71%|████████████████████████████------------| 5216/7340 [191:25<77:56, 27.2 steps/min]\u001b[92m18:37:43 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m18:37:44 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 18:37:44,917 - agent.ComputerAgent - INFO - Computer: click({'x': 652, 'y': 139})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 652, 'y': 139})\n", - " 71%|████████████████████████████------------| 5217/7340 [191:26<77:54, 27.3 steps/min]\u001b[92m18:37:44 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 18:37:45,530 - agent.ComputerAgent - INFO - Computer: scroll({'scroll_y': -1169, 'scroll_x': 0, 'x': 526, 'y': 427})\n", - "INFO:agent.ComputerAgent:Computer: scroll({'scroll_y': -1169, 'scroll_x': 0, 'x': 526, 'y': 427})\n", - " 71%|████████████████████████████------------| 5219/7340 [191:29<77:49, 27.3 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/3077c8ef-543a-4fa8-b46c-49b632230eed/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m18:37:48 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 71%|████████████████████████████------------| 5219/7340 [191:30<77:49, 27.3 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9b006d7b-b853-41ed-8a84-b7eaa5b6e94b/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 18:37:50,126 - agent.ComputerAgent - INFO - Computer: type({'text': 'Thunderbird'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'Thunderbird'})\n", - "\u001b[92m18:37:50 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v1/environments/1064657b-b89a-4eeb-8197-1c110af6b752/reset \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 71%|████████████████████████████------------| 5219/7340 [191:31<77:50, 27.2 steps/min]2025-08-11 18:37:50,787 - agent.ComputerAgent - INFO - Computer: click({'x': 749, 'y': 440})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 749, 'y': 440})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/055914cd-07b0-4dcd-9407-c6975b1eccbf/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 18:37:51,454 - agent.ComputerAgent - INFO - LLM processing started with 40 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 40 messages\n", - "\u001b[92m18:37:51 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/3077c8ef-543a-4fa8-b46c-49b632230eed/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m18:37:52 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 71%|████████████████████████████------------| 5220/7340 [191:34<77:48, 27.2 steps/min]\u001b[92m18:37:52 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 18:37:53,444 - agent.ComputerAgent - INFO - LLM processing started with 42 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 42 messages\n", - "\u001b[92m18:37:53 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m18:37:53 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 18:37:54,116 - agent.ComputerAgent - INFO - Computer: click({'x': 1008, 'y': 10})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 1008, 'y': 10})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/a72854f0-3bb0-4711-a18e-7a467a56390e/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/3077c8ef-543a-4fa8-b46c-49b632230eed/close \"HTTP/1.1 200 OK\"\n", - " 71%|████████████████████████████------------| 5223/7340 [191:35<77:39, 27.3 steps/min]\u001b[92m18:37:54 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 18:37:55,819 - agent.ComputerAgent - INFO - Computer: click({'x': 80, 'y': 430})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 80, 'y': 430})\n", - "2025-08-11 18:37:56,505 - agent.ComputerAgent - INFO - LLM processing started with 8 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 8 messages\n", - "\u001b[92m18:37:56 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/1fef1c7a-93ef-4a63-b067-399dfc4ff08a/invoke \"HTTP/1.1 200 OK\"\n", - " 71%|████████████████████████████------------| 5224/7340 [191:38<77:37, 27.3 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m18:37:57 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 18:37:57,824 - agent.ComputerAgent - INFO - LLM processing started with 10 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 10 messages\n", - "\u001b[92m18:37:57 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 71%|████████████████████████████------------| 5225/7340 [191:39<77:34, 27.3 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/e42da596-e101-4fd3-9dea-8a1d63615dad/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: GET https://orchestration.hud.so/hud-gym/api/v1/gyms/OSWorld-Ubuntu \"HTTP/1.1 200 OK\"\n", - "Loading checkpoint shards: 0%| | 0/4 [00:00\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/af5d4b08-d761-4bf8-a2c7-7ce16ed98ab9/invoke \"HTTP/1.1 200 OK\"\n", - "Loading checkpoint shards: 0%| | 0/4 [00:00 Settings > On startup.\n", - "- Select “Open the New Tab page,” or “Continue where you left off.”\n", - "- If “Open a specific page or set of pages” is selected, remove funbrain.com (click the three dots beside it > Remove).\n", - "- Also check Settings > Appearance > Show home button. If enabled, set it to “New Tab page” and make sure funbrain.com isn’t listed there.\n", - "\n", - "2) Unpin any pinned tab\n", - "- If you see a tiny pin icon on the funbrain tab, right‑click the tab > Unpin. Close it.\n", - "\n", - "3) Remove any extension hijacking your homepage/new tab\n", - "- Go to chrome://extensions\n", - "- Toggle off or Remove any unknown extensions, especially ones referencing “New Tab,” “Home,” “Search,” or anything you don’t recognize.\n", - "- Restart Chrome.\n", - "\n", - "4) Check if Chrome is “Managed by your organization” (policy hijack)\n", - "- Go to chrome://policy\n", - "- If you see policies like HomepageLocation, NewTabPageLocation, RestoreOnStartup, or StartupURLs pointing to funbrain.com (and this is your personal device), remove the policies:\n", - " - Press Windows key, type “regedit”, open Registry Editor.\n", - " - Navigate to:\n", - " - HKEY_CURRENT_USER\\Software\\Policies\\Google\\Chrome\n", - " - HKEY_LOCAL_MACHINE\\SOFTWARE\\Policies\\Google\\Chrome\n", - " - Delete values like HomepageLocation, StartupURLs, RestoreOnStartup, NewTabPageLocation, or delete the Chrome key entirely if it only contains unwanted values.\n", - " - Easier method (PowerShell as Administrator):\n", - " Remove-Item -Path \"HKCU:\\Software\\Policies\\Google\\Chrome\" -Recurse -Force -ErrorAction SilentlyContinue\n", - " Remove-Item -Path \"HKLM:\\SOFTWARE\\Policies\\Google\\Chrome\" -Recurse -Force -ErrorAction SilentlyContinue\n", - " - Reboot and recheck chrome://policy (it should be empty or unrelated).\n", - "\n", - "5) Fix the shortcut that launches Chrome\n", - "- Right‑click the Chrome shortcut you normall...\n", - "INFO:agent.ComputerAgent:Agent: This isn’t a cache issue. Chrome is being told to open that site by a setting, an extension/policy, or a modified shortcut. Do the steps below in order (quickest first). They’re written for Windows on your Surface Pro.\n", - "\n", - "1) Fix Chrome’s startup settings\n", - "- Open Chrome.\n", - "- Menu (three dots) > Settings > On startup.\n", - "- Select “Open the New Tab page,” or “Continue where you left off.”\n", - "- If “Open a specific page or set of pages” is selected, remove funbrain.com (click the three dots beside it > Remove).\n", - "- Also check Settings > Appearance > Show home button. If enabled, set it to “New Tab page” and make sure funbrain.com isn’t listed there.\n", - "\n", - "2) Unpin any pinned tab\n", - "- If you see a tiny pin icon on the funbrain tab, right‑click the tab > Unpin. Close it.\n", - "\n", - "3) Remove any extension hijacking your homepage/new tab\n", - "- Go to chrome://extensions\n", - "- Toggle off or Remove any unknown extensions, especially ones referencing “New Tab,” “Home,” “Search,” or anything you don’t recognize.\n", - "- Restart Chrome.\n", - "\n", - "4) Check if Chrome is “Managed by your organization” (policy hijack)\n", - "- Go to chrome://policy\n", - "- If you see policies like HomepageLocation, NewTabPageLocation, RestoreOnStartup, or StartupURLs pointing to funbrain.com (and this is your personal device), remove the policies:\n", - " - Press Windows key, type “regedit”, open Registry Editor.\n", - " - Navigate to:\n", - " - HKEY_CURRENT_USER\\Software\\Policies\\Google\\Chrome\n", - " - HKEY_LOCAL_MACHINE\\SOFTWARE\\Policies\\Google\\Chrome\n", - " - Delete values like HomepageLocation, StartupURLs, RestoreOnStartup, NewTabPageLocation, or delete the Chrome key entirely if it only contains unwanted values.\n", - " - Easier method (PowerShell as Administrator):\n", - " Remove-Item -Path \"HKCU:\\Software\\Policies\\Google\\Chrome\" -Recurse -Force -ErrorAction SilentlyContinue\n", - " Remove-Item -Path \"HKLM:\\SOFTWARE\\Policies\\Google\\Chrome\" -Recurse -Force -ErrorAction SilentlyContinue\n", - " - Reboot and recheck chrome://policy (it should be empty or unrelated).\n", - "\n", - "5) Fix the shortcut that launches Chrome\n", - "- Right‑click the Chrome shortcut you normall...\n", - "2025-08-11 18:49:11,237 - agent.ComputerAgent - INFO - Total usage:\n", - " - completion_tokens: 2424\n", - " - prompt_tokens: 1953\n", - " - total_tokens: 4377\n", - " - completion_tokens_details:\n", - " - accepted_prediction_tokens: 0\n", - " - audio_tokens: 0\n", - " - reasoning_tokens: 1600\n", - " - rejected_prediction_tokens: 0\n", - " - prompt_tokens_details:\n", - " - audio_tokens: 0\n", - " - cached_tokens: 0\n", - " - response_cost: $0.0267\n", - "INFO:agent.ComputerAgent:Total usage:\n", - " - completion_tokens: 2424\n", - " - prompt_tokens: 1953\n", - " - total_tokens: 4377\n", - " - completion_tokens_details:\n", - " - accepted_prediction_tokens: 0\n", - " - audio_tokens: 0\n", - " - reasoning_tokens: 1600\n", - " - rejected_prediction_tokens: 0\n", - " - prompt_tokens_details:\n", - " - audio_tokens: 0\n", - " - cached_tokens: 0\n", - " - response_cost: $0.0267\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/497d5104-1e6e-44a9-a164-fec745a337b6/invoke \"HTTP/1.1 200 OK\"\n", - " 76%|██████████████████████████████----------| 5568/7340 [202:52<64:34, 27.4 steps/min]2025-08-11 18:49:11,903 - agent.ComputerAgent - INFO - LLM processing started with 30 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 30 messages\n", - "\u001b[92m18:49:11 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 18:49:12,597 - agent.ComputerAgent - INFO - LLM processing started with 36 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 36 messages\n", - "\u001b[92m18:49:12 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0ce9d177-2b9a-4fde-a8a5-eb1b59248c8f/invoke \"HTTP/1.1 200 OK\"\n", - " 76%|██████████████████████████████----------| 5568/7340 [202:54<64:34, 27.4 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m18:49:13 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 18:49:13,963 - agent.ComputerAgent - INFO - LLM processing started with 38 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 38 messages\n", - "\u001b[92m18:49:14 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 76%|██████████████████████████████----------| 5568/7340 [202:55<64:34, 27.4 steps/min]\u001b[92m18:49:14 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 18:49:14,626 - agent.ComputerAgent - INFO - Computer: click({'button': 'left', 'x': 18, 'y': 237})\n", - "INFO:agent.ComputerAgent:Computer: click({'button': 'left', 'x': 18, 'y': 237})\n", - "2025-08-11 18:49:16,032 - agent.ComputerAgent - INFO - LLM processing started with 30 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 30 messages\n", - "\u001b[92m18:49:16 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/8a9dd85a-f951-495e-aea0-d3864853591e/invoke \"HTTP/1.1 200 OK\"\n", - " 76%|██████████████████████████████----------| 5568/7340 [202:57<64:35, 27.4 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 18:49:17,933 - agent.ComputerAgent - INFO - Computer: type({'text': 'ICLR 2013 location'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'ICLR 2013 location'})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 18:49:19,279 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ctrl+a'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ctrl+a'})\n", - " 76%|██████████████████████████████----------| 5569/7340 [203:01<64:33, 27.4 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/8a9dd85a-f951-495e-aea0-d3864853591e/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m18:49:19 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 18:49:21,241 - agent.ComputerAgent - INFO - Agent: Taking a screenshot to see the current computer screen.\n", - "INFO:agent.ComputerAgent:Agent: Taking a screenshot to see the current computer screen.\n", - "2025-08-11 18:49:21,241 - agent.ComputerAgent - INFO - Agent: Yes. VLC is set by default to reuse the first instance when you open a file (especially from the file manager). Turn that off and you can run multiple, independent players.\n", - "\n", - "Do this:\n", - "- Open VLC.\n", - "- Go to Tools -> Preferences (Ctrl+P).\n", - "- In the Simple settings view on the Interface tab, find Playlist and Instances.\n", - "- Uncheck:\n", - " - Allow only one instance\n", - " - Use only one instance when started from file manager\n", - " - Enqueue items into playlist in one instance (if you see it)\n", - "- Click Save.\n", - "- Quit all VLC windows completely (Ctrl+Q) so the setting takes effect, then start VLC again and open a different file in each window.\n", - "\n", - "Command-line alternative (Windows/macOS/Linux):\n", - "- Start each player with:\n", - " - vlc --no-one-instance --no-one-instance-when-started-from-file-manager file1.mp4\n", - " - vlc --no-one-instance file2.mp4\n", - "\n", - "After this, each VLC window will play its own video simultaneously.\n", - "\n", - "Task completed\n", - "INFO:agent.ComputerAgent:Agent: Yes. VLC is set by default to reuse the first instance when you open a file (especially from the file manager). Turn that off and you can run multiple, independent players.\n", - "\n", - "Do this:\n", - "- Open VLC.\n", - "- Go to Tools -> Preferences (Ctrl+P).\n", - "- In the Simple settings view on the Interface tab, find Playlist and Instances.\n", - "- Uncheck:\n", - " - Allow only one instance\n", - " - Use only one instance when started from file manager\n", - " - Enqueue items into playlist in one instance (if you see it)\n", - "- Click Save.\n", - "- Quit all VLC windows completely (Ctrl+Q) so the setting takes effect, then start VLC again and open a different file in each window.\n", - "\n", - "Command-line alternative (Windows/macOS/Linux):\n", - "- Start each player with:\n", - " - vlc --no-one-instance --no-one-instance-when-started-from-file-manager file1.mp4\n", - " - vlc --no-one-instance file2.mp4\n", - "\n", - "After this, each VLC window will play its own video simultaneously.\n", - "\n", - "Task completed\n", - "2025-08-11 18:49:21,909 - agent.ComputerAgent - INFO - Total usage:\n", - " - completion_tokens: 1307\n", - " - prompt_tokens: 1975\n", - " - total_tokens: 3282\n", - " - completion_tokens_details:\n", - " - accepted_prediction_tokens: 0\n", - " - audio_tokens: 0\n", - " - reasoning_tokens: 1088\n", - " - rejected_prediction_tokens: 0\n", - " - prompt_tokens_details:\n", - " - audio_tokens: 0\n", - " - cached_tokens: 0\n", - " - response_cost: $0.0155\n", - "INFO:agent.ComputerAgent:Total usage:\n", - " - completion_tokens: 1307\n", - " - prompt_tokens: 1975\n", - " - total_tokens: 3282\n", - " - completion_tokens_details:\n", - " - accepted_prediction_tokens: 0\n", - " - audio_tokens: 0\n", - " - reasoning_tokens: 1088\n", - " - rejected_prediction_tokens: 0\n", - " - prompt_tokens_details:\n", - " - audio_tokens: 0\n", - " - cached_tokens: 0\n", - " - response_cost: $0.0155\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/655a0f34-fb5e-49f8-9a65-531af668d6c6/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m18:49:22 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 76%|██████████████████████████████----------| 5590/7340 [203:04<63:34, 27.5 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/35ee5a0d-d8f9-4419-b253-d394f35fe993/invoke \"HTTP/1.1 200 OK\"\n", - "\u001b[92m18:49:22 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m18:49:22 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v1/environments/0835b0ab-8369-4209-a85b-955dbb271b54/reset \"HTTP/1.1 200 OK\"\n", - "2025-08-11 18:49:23,196 - agent.ComputerAgent - INFO - LLM processing started with 8 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 8 messages\n", - "\u001b[92m18:49:23 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m18:49:23 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 18:49:23,915 - agent.ComputerAgent - INFO - Computer: click({'x': 109, 'y': 125})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 109, 'y': 125})\n", - "\u001b[92m18:49:23 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/8a9dd85a-f951-495e-aea0-d3864853591e/close \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/655a0f34-fb5e-49f8-9a65-531af668d6c6/close \"HTTP/1.1 200 OK\"\n", - " 76%|██████████████████████████████----------| 5591/7340 [203:05<63:31, 27.5 steps/min]2025-08-11 18:49:24,590 - agent.ComputerAgent - INFO - Computer: drag({'path': [{'x': 75, 'y': 177}, {'x': 278, 'y': 177}]})\n", - "INFO:agent.ComputerAgent:Computer: drag({'path': [{'x': 75, 'y': 177}, {'x': 278, 'y': 177}]})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/aa800986-7030-4845-b4a1-82119abb97e9/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/84265bb9-b6f6-479e-8a58-920cfa2b7c69/invoke \"HTTP/1.1 200 OK\"\n", - " 76%|██████████████████████████████----------| 5592/7340 [203:07<63:29, 27.5 steps/min]INFO:httpx:HTTP Request: GET https://orchestration.hud.so/hud-gym/api/v1/gyms/OSWorld-Ubuntu \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: GET https://orchestration.hud.so/hud-gym/api/v1/gyms/OSWorld-Ubuntu \"HTTP/1.1 200 OK\"\n", - " 76%|██████████████████████████████----------| 5600/7340 [203:08<63:07, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 18:49:28,277 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ctrl+c'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ctrl+c'})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0835b0ab-8369-4209-a85b-955dbb271b54/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/a72854f0-3bb0-4711-a18e-7a467a56390e/invoke \"HTTP/1.1 200 OK\"\n", - " 76%|██████████████████████████████----------| 5600/7340 [203:10<63:07, 27.6 steps/min]2025-08-11 18:49:28,957 - agent.ComputerAgent - INFO - LLM processing started with 1 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 1 messages\n", - "\u001b[92m18:49:28 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m18:49:29 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 18:49:30,327 - agent.ComputerAgent - INFO - LLM processing started with 32 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 32 messages\n", - "\u001b[92m18:49:30 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m18:49:31 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/84265bb9-b6f6-479e-8a58-920cfa2b7c69/close \"HTTP/1.1 200 OK\"\n", - " 76%|██████████████████████████████----------| 5600/7340 [203:12<63:08, 27.6 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/1064657b-b89a-4eeb-8197-1c110af6b752/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/584f1ba5-3dc8-4b11-9242-7100c4e1133e/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/aa800986-7030-4845-b4a1-82119abb97e9/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 18:49:32,369 - agent.ComputerAgent - INFO - LLM processing started with 40 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 40 messages\n", - "\u001b[92m18:49:32 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "Loading checkpoint shards: 0%| | 0/4 [00:00 log.txt\\n'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'cd ~/Desktop\\npython3 calculator.py > log.txt\\n'})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/10c454d7-987f-4a23-83d6-534bd9ba42c2/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - " 83%|█████████████████████████████████-------| 6089/7340 [220:38<45:19, 27.6 steps/min]\u001b[92m19:06:56 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b641dbb7-3e3c-437d-bc11-5e038171855d/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/43a383a0-163d-4a8b-8494-0e1d1eab6cd6/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/27fc4825-1617-494a-9308-b128bd8af05a/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:06:57,016 - agent.ComputerAgent - INFO - LLM processing started with 6 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 6 messages\n", - "\u001b[92m19:06:57 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m19:06:57 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/80d19a15-b1ca-43cc-8d1b-1f86242172b5/invoke \"HTTP/1.1 200 OK\"\n", - "Loading checkpoint shards: 0%| | 0/4 [00:00 Modify > Font > choose Liberation Sans Narrow > OK.\n", - "- Drawing styles (for manual text boxes):\n", - " - Click the Drawing Styles icon.\n", - " - Right‑click Default > Modify > Font > Liberation Sans Narrow > OK.\n", - "- Remove any direct overrides so objects follow the styles:\n", - " - In the Slides pane, select all slides (click first, Shift‑click last).\n", - " - Press Ctrl+M (Format > Clear Direct Formatting). This makes existing text boxes pick up the new style font.\n", - "\n", - "Method 2: One‑click change with a macro (works even if text has direct formatting)\n", - "- Tools > Macros > Organize Macros > LibreOffice Basic > select your presentation > New.\n", - "- Paste this macro into the new module and Run:\n", - "\n", - "Sub SetAllTextToLiberationNarrow\n", - " Dim oDoc As Object, oSlides As Object, oSlide As Object\n", - " Dim oShape As Object\n", - " oDoc = ThisComponent\n", - " oSlides = oDoc.getDrawPages()\n", - " Dim i As Long, j As Long\n", - " For i = 0 To oSlides.getCount() - 1\n", - " oSlide = oSlides.getByIndex(i)\n", - " For j = 0 To oSlide.getCount() - 1\n", - " oShape = oSlide.getByIndex(j)\n", - " Call SetFontRecursive(oShape)\n", - " Next j\n", - " Next i\n", - "End Sub\n", - "\n", - "Sub SetFontRecursive(oShape As Object)\n", - " If oShape.supportsService(\"com.sun.star.drawing.GroupShape\") Then\n", - " Dim k As Long\n", - " For k = 0 To oShape.getCount() - 1\n", - " Call SetFontRecursive(oShape.getByIndex(k))\n", - " Next k\n", - " ElseIf oShape.supportsService(\"com.sun.star.drawing.Text\") Then\n", - " Dim oText As Object, oCur As Object\n", - " oText = oShape.getText()\n", - " oCur = oText.createTextCursor()\n", - " oCur.CharFontName = \"Liberation Sans Narrow\"\n", - " oCur.CharF...\n", - "INFO:agent.ComputerAgent:Agent: Yes—here are reliable ways to standardize every text box to Liberation Sans Narrow in LibreOffice Impress without clicking each one.\n", - "\n", - "Method 1 (recommended): Change styles so all objects inherit the font\n", - "- Open your presentation.\n", - "- Press F11 to open the Styles deck.\n", - "- Presentation styles (for placeholders):\n", - " - Click the Presentation Styles icon.\n", - " - Right‑click each of Title, Subtitle, Outline 1–10 (or Outline), Notes, etc. > Modify > Font > choose Liberation Sans Narrow > OK.\n", - "- Drawing styles (for manual text boxes):\n", - " - Click the Drawing Styles icon.\n", - " - Right‑click Default > Modify > Font > Liberation Sans Narrow > OK.\n", - "- Remove any direct overrides so objects follow the styles:\n", - " - In the Slides pane, select all slides (click first, Shift‑click last).\n", - " - Press Ctrl+M (Format > Clear Direct Formatting). This makes existing text boxes pick up the new style font.\n", - "\n", - "Method 2: One‑click change with a macro (works even if text has direct formatting)\n", - "- Tools > Macros > Organize Macros > LibreOffice Basic > select your presentation > New.\n", - "- Paste this macro into the new module and Run:\n", - "\n", - "Sub SetAllTextToLiberationNarrow\n", - " Dim oDoc As Object, oSlides As Object, oSlide As Object\n", - " Dim oShape As Object\n", - " oDoc = ThisComponent\n", - " oSlides = oDoc.getDrawPages()\n", - " Dim i As Long, j As Long\n", - " For i = 0 To oSlides.getCount() - 1\n", - " oSlide = oSlides.getByIndex(i)\n", - " For j = 0 To oSlide.getCount() - 1\n", - " oShape = oSlide.getByIndex(j)\n", - " Call SetFontRecursive(oShape)\n", - " Next j\n", - " Next i\n", - "End Sub\n", - "\n", - "Sub SetFontRecursive(oShape As Object)\n", - " If oShape.supportsService(\"com.sun.star.drawing.GroupShape\") Then\n", - " Dim k As Long\n", - " For k = 0 To oShape.getCount() - 1\n", - " Call SetFontRecursive(oShape.getByIndex(k))\n", - " Next k\n", - " ElseIf oShape.supportsService(\"com.sun.star.drawing.Text\") Then\n", - " Dim oText As Object, oCur As Object\n", - " oText = oShape.getText()\n", - " oCur = oText.createTextCursor()\n", - " oCur.CharFontName = \"Liberation Sans Narrow\"\n", - " oCur.CharF...\n", - "2025-08-11 19:26:25,833 - agent.ComputerAgent - INFO - Total usage:\n", - " - completion_tokens: 3294\n", - " - prompt_tokens: 1964\n", - " - total_tokens: 5258\n", - " - completion_tokens_details:\n", - " - accepted_prediction_tokens: 0\n", - " - audio_tokens: 0\n", - " - reasoning_tokens: 2560\n", - " - rejected_prediction_tokens: 0\n", - " - prompt_tokens_details:\n", - " - audio_tokens: 0\n", - " - cached_tokens: 0\n", - " - response_cost: $0.0354\n", - "INFO:agent.ComputerAgent:Total usage:\n", - " - completion_tokens: 3294\n", - " - prompt_tokens: 1964\n", - " - total_tokens: 5258\n", - " - completion_tokens_details:\n", - " - accepted_prediction_tokens: 0\n", - " - audio_tokens: 0\n", - " - reasoning_tokens: 2560\n", - " - rejected_prediction_tokens: 0\n", - " - prompt_tokens_details:\n", - " - audio_tokens: 0\n", - " - cached_tokens: 0\n", - " - response_cost: $0.0354\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/7a2c2835-d21e-4e04-babb-e8305a4f1f9d/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/1a178f89-87e5-46d9-a114-22d5fcc5c630/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6f055f32-c606-4a58-91bc-c5990d4e8280/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/f209659e-2ed9-40fa-ae61-5359fb9ef290/invoke \"HTTP/1.1 200 OK\"\n", - " 90%|████████████████████████████████████----| 6611/7340 [240:07<26:28, 27.5 steps/min]2025-08-11 19:26:26,517 - agent.ComputerAgent - INFO - Computer: double_click({'x': 884, 'y': 123})\n", - "INFO:agent.ComputerAgent:Computer: double_click({'x': 884, 'y': 123})\n", - "2025-08-11 19:26:27,223 - agent.ComputerAgent - INFO - Computer: click({'x': 344, 'y': 34})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 344, 'y': 34})\n", - "2025-08-11 19:26:27,897 - agent.ComputerAgent - INFO - Computer: click({'x': 548, 'y': 249})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 548, 'y': 249})\n", - "2025-08-11 19:26:28,563 - agent.ComputerAgent - INFO - LLM processing started with 10 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 10 messages\n", - "\u001b[92m19:26:28 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 90%|████████████████████████████████████----| 6613/7340 [240:10<26:24, 27.5 steps/min]2025-08-11 19:26:29,242 - agent.ComputerAgent - INFO - LLM processing started with 26 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 26 messages\n", - "\u001b[92m19:26:29 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:26:30,582 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'f1'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'f1'})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:26:31,909 - agent.ComputerAgent - INFO - Computer: wait({})\n", - "INFO:agent.ComputerAgent:Computer: wait({})\n", - " 90%|████████████████████████████████████----| 6616/7340 [240:13<26:17, 27.5 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:26:33,178 - agent.ComputerAgent - INFO - Computer: screenshot({})\n", - "INFO:agent.ComputerAgent:Computer: screenshot({})\n", - " 90%|████████████████████████████████████----| 6618/7340 [240:14<26:12, 27.5 steps/min]2025-08-11 19:26:33,810 - agent.ComputerAgent - INFO - LLM processing started with 1 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 1 messages\n", - "\u001b[92m19:26:33 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:26:34,481 - agent.ComputerAgent - INFO - LLM processing started with 8 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 8 messages\n", - "\u001b[92m19:26:34 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/09c933ad-61bf-4498-b248-0df86e3aea78/invoke \"HTTP/1.1 200 OK\"\n", - " 90%|████████████████████████████████████----| 6619/7340 [240:16<26:10, 27.5 steps/min]2025-08-11 19:26:35,113 - agent.ComputerAgent - INFO - LLM processing started with 8 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 8 messages\n", - "\u001b[92m19:26:35 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:26:35,982 - agent.ComputerAgent - INFO - LLM processing started with 14 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 14 messages\n", - "\u001b[92m19:26:36 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/7f4008ee-6c98-4905-9ade-965ea7842b64/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 90%|████████████████████████████████████----| 6619/7340 [240:17<26:10, 27.5 steps/min]2025-08-11 19:26:37,325 - agent.ComputerAgent - INFO - LLM processing started with 38 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 38 messages\n", - "\u001b[92m19:26:37 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/18debd9e-6c58-4504-8a04-13cba683a254/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:26:38 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 90%|████████████████████████████████████----| 6619/7340 [240:19<26:10, 27.5 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/2d8a6e51-acdb-47b9-8ee4-f3085c741fd5/invoke \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:26:38,682 - agent.ComputerAgent - INFO - LLM processing started with 40 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 40 messages\n", - "\u001b[92m19:26:38 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/bcec4523-df7a-48b5-aea1-8d7c632a6dc4/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/51954fb4-34ed-4511-b2fd-a6169b5ea5d3/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9a544504-3e48-48b2-8429-0a97e266ebfb/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/84a5d283-63f1-43fc-b483-76116d67f385/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/c915dbd9-32bc-40a7-9c07-d437c737419f/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:26:39,380 - agent.ComputerAgent - INFO - LLM processing started with 36 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 36 messages\n", - "\u001b[92m19:26:39 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m19:26:39 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/775a5b67-2406-42b8-86e5-243e01b8dc27/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/052ac585-1998-46b2-9ac5-0dc192aeba02/invoke \"HTTP/1.1 200 OK\"\n", - " 90%|████████████████████████████████████----| 6619/7340 [240:21<26:10, 27.5 steps/min]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "No screenshot found, taking screenshot\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025-08-11 19:26:40,063 - agent.ComputerAgent - INFO - LLM processing started with 8 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 8 messages\n", - "\u001b[92m19:26:40 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:26:40,762 - agent.ComputerAgent - INFO - Computer: click({'button': 'left', 'x': 344, 'y': 137})\n", - "INFO:agent.ComputerAgent:Computer: click({'button': 'left', 'x': 344, 'y': 137})\n", - " 90%|████████████████████████████████████----| 6619/7340 [240:22<26:11, 27.5 steps/min]2025-08-11 19:26:41,401 - agent.ComputerAgent - INFO - LLM processing started with 32 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 32 messages\n", - "\u001b[92m19:26:41 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:26:42,073 - agent.ComputerAgent - INFO - LLM processing started with 38 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 38 messages\n", - "\u001b[92m19:26:42 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:26:42,723 - agent.ComputerAgent - INFO - LLM processing started with 30 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 30 messages\n", - "\u001b[92m19:26:42 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 90%|████████████████████████████████████----| 6620/7340 [240:24<26:08, 27.5 steps/min]2025-08-11 19:26:43,402 - agent.ComputerAgent - INFO - LLM processing started with 26 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 26 messages\n", - "\u001b[92m19:26:43 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:26:44 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:26:45,407 - agent.ComputerAgent - INFO - Computer: wait({})\n", - "INFO:agent.ComputerAgent:Computer: wait({})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:26:46 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:26:46 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 90%|████████████████████████████████████----| 6620/7340 [240:29<26:09, 27.5 steps/min]\u001b[92m19:26:47 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:26:47 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:26:48,083 - agent.ComputerAgent - INFO - LLM processing started with 38 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 38 messages\n", - "\u001b[92m19:26:48 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:26:48,753 - agent.ComputerAgent - INFO - Computer: click({'x': 914, 'y': 660})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 914, 'y': 660})\n", - "\u001b[92m19:26:48 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 90%|████████████████████████████████████----| 6621/7340 [240:31<26:07, 27.5 steps/min]\u001b[92m19:26:49 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:26:50,093 - agent.ComputerAgent - INFO - Computer: click({'x': 641, 'y': 498})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 641, 'y': 498})\n", - "\u001b[92m19:26:50 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:26:50 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:26:50,755 - agent.ComputerAgent - INFO - Computer: click({'x': 893, 'y': 134})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 893, 'y': 134})\n", - "2025-08-11 19:26:51,455 - agent.ComputerAgent - INFO - Agent: Taking a screenshot to see the current computer screen.\n", - "INFO:agent.ComputerAgent:Agent: Taking a screenshot to see the current computer screen.\n", - "2025-08-11 19:26:51,456 - agent.ComputerAgent - INFO - Computer: click({'button': 'left', 'x': 386, 'y': 250})\n", - "INFO:agent.ComputerAgent:Computer: click({'button': 'left', 'x': 386, 'y': 250})\n", - "\u001b[92m19:26:51 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 90%|████████████████████████████████████----| 6622/7340 [240:33<26:04, 27.5 steps/min]2025-08-11 19:26:52,153 - agent.ComputerAgent - INFO - Computer: click({'x': 173, 'y': 150})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 173, 'y': 150})\n", - "2025-08-11 19:26:52,821 - agent.ComputerAgent - INFO - LLM processing started with 16 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 16 messages\n", - "\u001b[92m19:26:52 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 90%|████████████████████████████████████----| 6626/7340 [240:35<25:55, 27.5 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:26:55 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 90%|████████████████████████████████████----| 6626/7340 [240:36<25:55, 27.5 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/77892268-14f2-4dfa-b58c-6a682f258679/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:26:56 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:26:56 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 90%|████████████████████████████████████----| 6626/7340 [240:37<25:55, 27.5 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:26:56,855 - agent.ComputerAgent - INFO - Computer: click({'x': 46, 'y': 528})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 46, 'y': 528})\n", - "\u001b[92m19:26:56 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:26:57,527 - agent.ComputerAgent - INFO - Computer: click({'x': 731, 'y': 617})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 731, 'y': 617})\n", - "2025-08-11 19:26:58,183 - agent.ComputerAgent - INFO - LLM processing started with 34 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 34 messages\n", - "\u001b[92m19:26:58 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 90%|████████████████████████████████████----| 6626/7340 [240:39<25:56, 27.5 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/7a2c2835-d21e-4e04-babb-e8305a4f1f9d/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6f055f32-c606-4a58-91bc-c5990d4e8280/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/1a178f89-87e5-46d9-a114-22d5fcc5c630/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:26:58,873 - agent.ComputerAgent - INFO - LLM processing started with 12 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 12 messages\n", - "\u001b[92m19:26:58 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/73c70c0d-c1a0-401f-83c0-063e983abd6c/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/af58ffed-65a3-4c4a-a9fe-5c940230627d/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/f209659e-2ed9-40fa-ae61-5359fb9ef290/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:26:59,543 - agent.ComputerAgent - INFO - LLM processing started with 28 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 28 messages\n", - "\u001b[92m19:26:59 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:27:00,884 - agent.ComputerAgent - INFO - Computer: type({'text': '20'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': '20'})\n", - " 90%|████████████████████████████████████----| 6628/7340 [240:42<25:51, 27.5 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/7f4008ee-6c98-4905-9ade-965ea7842b64/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:27:01,553 - agent.ComputerAgent - INFO - LLM processing started with 16 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 16 messages\n", - "\u001b[92m19:27:01 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:27:02,260 - agent.ComputerAgent - INFO - LLM processing started with 6 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 6 messages\n", - "\u001b[92m19:27:02 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:27:02,945 - agent.ComputerAgent - INFO - LLM processing started with 10 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 10 messages\n", - "\u001b[92m19:27:02 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/7f4008ee-6c98-4905-9ade-965ea7842b64/close \"HTTP/1.1 200 OK\"\n", - " 91%|████████████████████████████████████----| 6648/7340 [240:44<25:03, 27.6 steps/min]2025-08-11 19:27:04,256 - agent.ComputerAgent - INFO - LLM processing started with 10 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 10 messages\n", - "\u001b[92m19:27:04 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 91%|████████████████████████████████████----| 6648/7340 [240:46<25:03, 27.6 steps/min]INFO:httpx:HTTP Request: GET https://orchestration.hud.so/hud-gym/api/v1/gyms/OSWorld-Ubuntu \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/2d8a6e51-acdb-47b9-8ee4-f3085c741fd5/invoke \"HTTP/1.1 200 OK\"\n", - " 91%|████████████████████████████████████----| 6648/7340 [240:47<25:03, 27.6 steps/min]2025-08-11 19:27:05,962 - agent.ComputerAgent - INFO - LLM processing started with 42 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 42 messages\n", - "\u001b[92m19:27:05 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 91%|████████████████████████████████████----| 6648/7340 [240:48<25:03, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:27:07,803 - agent.ComputerAgent - INFO - Computer: type({'text': 'Extensions: Install from VSIX'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'Extensions: Install from VSIX'})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/775a5b67-2406-42b8-86e5-243e01b8dc27/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:27:08 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:27:09,824 - agent.ComputerAgent - INFO - Computer: get_current_url({})\n", - "INFO:agent.ComputerAgent:Computer: get_current_url({})\n", - " 91%|████████████████████████████████████----| 6648/7340 [240:51<25:04, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/18debd9e-6c58-4504-8a04-13cba683a254/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Loading checkpoint shards: 0%| | 0/4 [00:00\n", - "Loading checkpoint shards: 0%| | 0/4 [00:00 View > Folders > Unified.\n", - "- In the left sidebar you’ll now see a “Unified Folders” section with a single “Inbox” that aggregates all accounts.\n", - "\n", - "Optional: choose exactly which accounts/folders are included\n", - "- In the left sidebar, under Unified Folders, right‑click Inbox > Properties.\n", - "- Click “Select the folders to search,” then check the Inbox for each account you want included. Click Update.\n", - "\n", - "Notes and tips\n", - "- Thunderbird remembers this view; if it ever changes, repeat View > Folders > Unified.\n", - "- If you use POP and want all mail to physically go to one inbox, set a Global Inbox: Account Settings > your POP account > Server Settings > Advanced > Global Inbox (Local Folders).\n", - "- If a folder is missing from the Unified view, right‑click that folder > Subscribe (for IMAP) to ensure it’s subscribed, and confirm it’s checked in the Unified Inbox Properties.\n", - "\n", - "Task completed\n", - "INFO:agent.ComputerAgent:Agent: Here’s how to set up a unified inbox in Thunderbird so all your accounts’ emails show in one place:\n", - "\n", - "- Open Thunderbird.\n", - "- Go to the application menu (three horizontal lines in the top-right) > View > Folders > Unified.\n", - "- In the left sidebar you’ll now see a “Unified Folders” section with a single “Inbox” that aggregates all accounts.\n", - "\n", - "Optional: choose exactly which accounts/folders are included\n", - "- In the left sidebar, under Unified Folders, right‑click Inbox > Properties.\n", - "- Click “Select the folders to search,” then check the Inbox for each account you want included. Click Update.\n", - "\n", - "Notes and tips\n", - "- Thunderbird remembers this view; if it ever changes, repeat View > Folders > Unified.\n", - "- If you use POP and want all mail to physically go to one inbox, set a Global Inbox: Account Settings > your POP account > Server Settings > Advanced > Global Inbox (Local Folders).\n", - "- If a folder is missing from the Unified view, right‑click that folder > Subscribe (for IMAP) to ensure it’s subscribed, and confirm it’s checked in the Unified Inbox Properties.\n", - "\n", - "Task completed\n", - "Loading checkpoint shards: 25%|██▌ | 1/4 [00:01<00:05, 1.72s/it]2025-08-11 19:29:25,906 - agent.ComputerAgent - INFO - Total usage:\n", - " - completion_tokens: 1266\n", - " - prompt_tokens: 12578\n", - " - total_tokens: 13844\n", - " - completion_tokens_details:\n", - " - accepted_prediction_tokens: 0\n", - " - audio_tokens: 0\n", - " - reasoning_tokens: 1024\n", - " - rejected_prediction_tokens: 0\n", - " - prompt_tokens_details:\n", - " - audio_tokens: 0\n", - " - cached_tokens: 11776\n", - " - response_cost: $0.0151\n", - "INFO:agent.ComputerAgent:Total usage:\n", - " - completion_tokens: 1266\n", - " - prompt_tokens: 12578\n", - " - total_tokens: 13844\n", - " - completion_tokens_details:\n", - " - accepted_prediction_tokens: 0\n", - " - audio_tokens: 0\n", - " - reasoning_tokens: 1024\n", - " - rejected_prediction_tokens: 0\n", - " - prompt_tokens_details:\n", - " - audio_tokens: 0\n", - " - cached_tokens: 11776\n", - " - response_cost: $0.0151\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:29:26 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Loading checkpoint shards: 50%|█████ | 2/4 [00:03<00:03, 1.67s/it]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:29:27 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:29:28 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 91%|████████████████████████████████████----| 6708/7340 [243:09<22:54, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Loading checkpoint shards: 75%|███████▌ | 3/4 [00:04<00:01, 1.64s/it]2025-08-11 19:29:29,309 - agent.ComputerAgent - INFO - Computer: type({'text': 'sar -V\\n'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'sar -V\\n'})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Loading checkpoint shards: 100%|██████████| 4/4 [00:05<00:00, 1.38s/it]\n", - "\u001b[92m19:29:30 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 91%|████████████████████████████████████----| 6709/7340 [243:11<22:52, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m19:29:31 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 91%|████████████████████████████████████----| 6710/7340 [243:13<22:50, 27.6 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:29:31 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/73c70c0d-c1a0-401f-83c0-063e983abd6c/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6f055f32-c606-4a58-91bc-c5990d4e8280/invoke \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:29:32,337 - agent.ComputerAgent - INFO - LLM processing started with 29 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 29 messages\n", - "\u001b[92m19:29:32 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:29:33,023 - agent.ComputerAgent - INFO - Computer: click({'x': 115, 'y': 635})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 115, 'y': 635})\n", - "\u001b[92m19:29:33 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 91%|████████████████████████████████████----| 6710/7340 [243:14<22:50, 27.6 steps/min]\u001b[92m19:29:33 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:29:33,677 - agent.ComputerAgent - INFO - Computer: click({'x': 28, 'y': 739})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 28, 'y': 739})\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:29:34,335 - agent.ComputerAgent - INFO - Computer: click({'x': 530, 'y': 417})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 530, 'y': 417})\n", - "\u001b[92m19:29:34 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:29:34 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:29:34,988 - agent.ComputerAgent - INFO - Agent: Taking a screenshot to see the current computer screen.\n", - "INFO:agent.ComputerAgent:Agent: Taking a screenshot to see the current computer screen.\n", - "2025-08-11 19:29:34,989 - agent.ComputerAgent - INFO - Computer: click({'x': 80, 'y': 181})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 80, 'y': 181})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 91%|████████████████████████████████████----| 6711/7340 [243:17<22:48, 27.6 steps/min]\u001b[92m19:29:35 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:29:35 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/c915dbd9-32bc-40a7-9c07-d437c737419f/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:29:35 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:29:35 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/775a5b67-2406-42b8-86e5-243e01b8dc27/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/18debd9e-6c58-4504-8a04-13cba683a254/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/7a2c2835-d21e-4e04-babb-e8305a4f1f9d/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/77892268-14f2-4dfa-b58c-6a682f258679/invoke \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:29:36,366 - agent.ComputerAgent - INFO - Computer: click({'x': 186, 'y': 148})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 186, 'y': 148})\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:29:36,994 - agent.ComputerAgent - INFO - Computer: click({'x': 85, 'y': 234})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 85, 'y': 234})\n", - "\u001b[92m19:29:37 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:29:37 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 91%|████████████████████████████████████----| 6714/7340 [243:18<22:41, 27.6 steps/min]2025-08-11 19:29:37,669 - agent.ComputerAgent - INFO - Computer: click({'x': 483, 'y': 267})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 483, 'y': 267})\n", - "2025-08-11 19:29:38,353 - agent.ComputerAgent - INFO - Computer: click({'x': 974, 'y': 34})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 974, 'y': 34})\n", - "2025-08-11 19:29:38,999 - agent.ComputerAgent - INFO - LLM processing started with 22 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 22 messages\n", - "\u001b[92m19:29:39 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m19:29:39 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - " 92%|████████████████████████████████████----| 6717/7340 [243:20<22:34, 27.6 steps/min]2025-08-11 19:29:39,730 - agent.ComputerAgent - INFO - Computer: drag({'path': [{'x': 914, 'y': 671}, {'x': 984, 'y': 467}]})\n", - "INFO:agent.ComputerAgent:Computer: drag({'path': [{'x': 914, 'y': 671}, {'x': 984, 'y': 467}]})\n", - "2025-08-11 19:29:40,390 - agent.ComputerAgent - INFO - LLM processing started with 42 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 42 messages\n", - "\u001b[92m19:29:40 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 92%|████████████████████████████████████----| 6719/7340 [243:22<22:29, 27.6 steps/min]2025-08-11 19:29:41,077 - agent.ComputerAgent - INFO - LLM processing started with 18 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 18 messages\n", - "\u001b[92m19:29:41 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:29:42,161 - agent.ComputerAgent - INFO - LLM processing started with 22 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 22 messages\n", - "\u001b[92m19:29:42 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/73c70c0d-c1a0-401f-83c0-063e983abd6c/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6f055f32-c606-4a58-91bc-c5990d4e8280/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/18debd9e-6c58-4504-8a04-13cba683a254/close \"HTTP/1.1 200 OK\"\n", - " 92%|████████████████████████████████████----| 6720/7340 [243:23<22:27, 27.6 steps/min]2025-08-11 19:29:42,846 - agent.ComputerAgent - INFO - LLM processing started with 31 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 31 messages\n", - "\u001b[92m19:29:42 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 92%|████████████████████████████████████----| 6725/7340 [243:26<22:15, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:29:45 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0180c5d2-a012-4261-b093-ed34f443f269/invoke \"HTTP/1.1 200 OK\"\n", - " 92%|████████████████████████████████████----| 6725/7340 [243:27<22:15, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/052ac585-1998-46b2-9ac5-0dc192aeba02/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6f055f32-c606-4a58-91bc-c5990d4e8280/close \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/963f0b0a-47d1-479c-9077-6c59023108fe/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/84a5d283-63f1-43fc-b483-76116d67f385/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/1a178f89-87e5-46d9-a114-22d5fcc5c630/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/f209659e-2ed9-40fa-ae61-5359fb9ef290/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/bcec4523-df7a-48b5-aea1-8d7c632a6dc4/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9a544504-3e48-48b2-8429-0a97e266ebfb/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/af58ffed-65a3-4c4a-a9fe-5c940230627d/invoke \"HTTP/1.1 200 OK\"\n", - " 92%|████████████████████████████████████----| 6725/7340 [243:28<22:15, 27.6 steps/min]2025-08-11 19:29:48,280 - agent.ComputerAgent - INFO - LLM processing started with 6 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 6 messages\n", - "\u001b[92m19:29:48 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "Loading checkpoint shards: 0%| | 0/4 [00:00 System_Resources_Report.txt\\n'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'sar -u 1 30 > System_Resources_Report.txt\\n'})\n", - " 92%|████████████████████████████████████----| 6784/7340 [245:45<20:08, 27.6 steps/min]2025-08-11 19:32:03,959 - agent.ComputerAgent - INFO - LLM processing started with 6 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 6 messages\n", - "\u001b[92m19:32:03 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:32:04,639 - agent.ComputerAgent - INFO - LLM processing started with 30 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 30 messages\n", - "\u001b[92m19:32:04 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/c915dbd9-32bc-40a7-9c07-d437c737419f/invoke \"HTTP/1.1 200 OK\"\n", - " 92%|████████████████████████████████████----| 6785/7340 [245:46<20:06, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/7633715b-dde0-4c56-a4b6-22ccee78f5f5/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/963f0b0a-47d1-479c-9077-6c59023108fe/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:32:05,820 - agent.ComputerAgent - INFO - LLM processing started with 18 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 18 messages\n", - "\u001b[92m19:32:05 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v1/environments/6f3b006b-141d-439d-b6cb-eed7bd6483c3/reset \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/7f112db6-0b60-4e6c-86f5-0d87dc91f371/invoke \"HTTP/1.1 200 OK\"\n", - " 92%|████████████████████████████████████----| 6785/7340 [245:47<20:06, 27.6 steps/min]2025-08-11 19:32:06,520 - agent.ComputerAgent - INFO - LLM processing started with 12 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 12 messages\n", - "\u001b[92m19:32:06 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 92%|████████████████████████████████████----| 6785/7340 [245:48<20:06, 27.6 steps/min]2025-08-11 19:32:07,704 - agent.ComputerAgent - INFO - LLM processing started with 28 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 28 messages\n", - "\u001b[92m19:32:07 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:32:08,380 - agent.ComputerAgent - INFO - LLM processing started with 8 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 8 messages\n", - "\u001b[92m19:32:08 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 92%|████████████████████████████████████----| 6785/7340 [245:50<20:06, 27.6 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/51954fb4-34ed-4511-b2fd-a6169b5ea5d3/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:32:10,389 - agent.ComputerAgent - INFO - LLM processing started with 42 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 42 messages\n", - "\u001b[92m19:32:10 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/775a5b67-2406-42b8-86e5-243e01b8dc27/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:32:11 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0c64a3b4-e9b0-46c1-a580-cdcf62b74e44/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 92%|████████████████████████████████████----| 6785/7340 [245:53<20:06, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m19:32:12 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6f3b006b-141d-439d-b6cb-eed7bd6483c3/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:32:12,779 - agent.ComputerAgent - INFO - LLM processing started with 1 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 1 messages\n", - "\u001b[92m19:32:12 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m19:32:12 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 92%|████████████████████████████████████----| 6785/7340 [245:54<20:06, 27.6 steps/min]2025-08-11 19:32:13,458 - agent.ComputerAgent - INFO - Computer: click({'x': 461, 'y': 169})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 461, 'y': 169})\n", - "\u001b[92m19:32:13 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:32:14,530 - agent.ComputerAgent - INFO - Computer: click({'x': 125, 'y': 182})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 125, 'y': 182})\n", - " 92%|████████████████████████████████████----| 6785/7340 [245:56<20:07, 27.6 steps/min]2025-08-11 19:32:15,198 - agent.ComputerAgent - INFO - LLM processing started with 8 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 8 messages\n", - "\u001b[92m19:32:15 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:32:16,538 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'win'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'win'})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - " 92%|████████████████████████████████████----| 6787/7340 [245:58<20:02, 27.6 steps/min]\u001b[92m19:32:17 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:32:17 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:32:19,209 - agent.ComputerAgent - INFO - Computer: type({'text': 'Dublin'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'Dublin'})\n", - " 92%|████████████████████████████████████----| 6788/7340 [246:00<20:00, 27.6 steps/min]\u001b[92m19:32:19 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:32:19,877 - agent.ComputerAgent - INFO - LLM processing started with 26 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 26 messages\n", - "\u001b[92m19:32:19 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:32:20,569 - agent.ComputerAgent - INFO - Computer: click({'x': 90, 'y': 183})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 90, 'y': 183})\n", - "\u001b[92m19:32:20 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:32:21,243 - agent.ComputerAgent - INFO - Computer: click({'x': 430, 'y': 219})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 430, 'y': 219})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - " 92%|████████████████████████████████████----| 6789/7340 [246:04<19:58, 27.6 steps/min]\u001b[92m19:32:22 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m19:32:22 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:32:23 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:32:23,644 - agent.ComputerAgent - INFO - Computer: click({'x': 188, 'y': 190})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 188, 'y': 190})\n", - " 93%|█████████████████████████████████████---| 6791/7340 [246:05<19:53, 27.6 steps/min]\u001b[92m19:32:24 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:32:24,280 - agent.ComputerAgent - INFO - Computer: click({'x': 123, 'y': 178})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 123, 'y': 178})\n", - " 93%|█████████████████████████████████████---| 6793/7340 [246:07<19:49, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:32:26 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 93%|█████████████████████████████████████---| 6793/7340 [246:08<19:49, 27.6 steps/min]\u001b[92m19:32:27 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:32:27,608 - agent.ComputerAgent - INFO - Computer: click({'x': 18, 'y': 476})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 18, 'y': 476})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b928bd01-f1b7-4f34-accf-acb6aec5d8cd/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/7a2c2835-d21e-4e04-babb-e8305a4f1f9d/invoke \"HTTP/1.1 200 OK\"\n", - " 93%|█████████████████████████████████████---| 6793/7340 [246:09<19:49, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0180c5d2-a012-4261-b093-ed34f443f269/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:32:28,295 - agent.ComputerAgent - INFO - LLM processing started with 8 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 8 messages\n", - "\u001b[92m19:32:28 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/7633715b-dde0-4c56-a4b6-22ccee78f5f5/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:32:28,953 - agent.ComputerAgent - INFO - LLM processing started with 30 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 30 messages\n", - "\u001b[92m19:32:28 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v1/environments/acf3037a-4b6c-4ea8-b81c-ffc2e76132e1/reset \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/1a178f89-87e5-46d9-a114-22d5fcc5c630/invoke \"HTTP/1.1 200 OK\"\n", - " 93%|█████████████████████████████████████---| 6794/7340 [246:10<19:47, 27.6 steps/min]2025-08-11 19:32:29,623 - agent.ComputerAgent - INFO - LLM processing started with 14 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 14 messages\n", - "\u001b[92m19:32:29 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:32:30 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/963f0b0a-47d1-479c-9077-6c59023108fe/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/f209659e-2ed9-40fa-ae61-5359fb9ef290/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/7f112db6-0b60-4e6c-86f5-0d87dc91f371/invoke \"HTTP/1.1 200 OK\"\n", - " 93%|█████████████████████████████████████---| 6794/7340 [246:12<19:47, 27.6 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:32:30,976 - agent.ComputerAgent - INFO - LLM processing started with 20 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 20 messages\n", - "\u001b[92m19:32:30 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:32:31,628 - agent.ComputerAgent - INFO - LLM processing started with 14 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 14 messages\n", - "\u001b[92m19:32:31 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m19:32:31 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 93%|█████████████████████████████████████---| 6794/7340 [246:13<19:47, 27.6 steps/min]2025-08-11 19:32:32,293 - agent.ComputerAgent - INFO - Computer: click({'x': 534, 'y': 554})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 534, 'y': 554})\n", - "2025-08-11 19:32:32,937 - agent.ComputerAgent - INFO - LLM processing started with 10 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 10 messages\n", - "\u001b[92m19:32:32 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 93%|█████████████████████████████████████---| 6794/7340 [246:14<19:47, 27.6 steps/min]2025-08-11 19:32:33,607 - agent.ComputerAgent - INFO - LLM processing started with 28 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 28 messages\n", - "\u001b[92m19:32:33 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:32:34,249 - agent.ComputerAgent - INFO - LLM processing started with 32 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 32 messages\n", - "\u001b[92m19:32:34 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 93%|█████████████████████████████████████---| 6795/7340 [246:17<19:45, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0c64a3b4-e9b0-46c1-a580-cdcf62b74e44/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:32:36,916 - agent.ComputerAgent - INFO - LLM processing started with 10 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 10 messages\n", - "\u001b[92m19:32:36 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/create_environment \"HTTP/1.1 200 OK\"\n", - " 93%|█████████████████████████████████████---| 6795/7340 [246:18<19:45, 27.6 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:32:37 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/acf3037a-4b6c-4ea8-b81c-ffc2e76132e1/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 93%|█████████████████████████████████████---| 6795/7340 [246:19<19:45, 27.6 steps/min]2025-08-11 19:32:38,805 - agent.ComputerAgent - INFO - LLM processing started with 1 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 1 messages\n", - "\u001b[92m19:32:38 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/51c56274-d8ae-4edf-8ff1-b637cd2fff66/invoke \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:32:38 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:32:39,495 - agent.ComputerAgent - INFO - Computer: click({'x': 173, 'y': 149})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 173, 'y': 149})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/af58ffed-65a3-4c4a-a9fe-5c940230627d/invoke \"HTTP/1.1 200 OK\"\n", - " 93%|█████████████████████████████████████---| 6795/7340 [246:21<19:45, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:32:40,803 - agent.ComputerAgent - INFO - Computer: type({'text': 'wc -l System_Resources_Report.txt\\n'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'wc -l System_Resources_Report.txt\\n'})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:32:41 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 93%|█████████████████████████████████████---| 6796/7340 [246:23<19:43, 27.6 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:32:42,099 - agent.ComputerAgent - INFO - LLM processing started with 24 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 24 messages\n", - "\u001b[92m19:32:42 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 93%|█████████████████████████████████████---| 6797/7340 [246:24<19:41, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:32:43 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:32:43 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:32:43 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:32:44,597 - agent.ComputerAgent - INFO - Computer: double_click({'x': 482, 'y': 277})\n", - "INFO:agent.ComputerAgent:Computer: double_click({'x': 482, 'y': 277})\n", - " 93%|█████████████████████████████████████---| 6797/7340 [246:26<19:41, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m19:32:45 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:32:45 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:32:46,644 - agent.ComputerAgent - INFO - Computer: type({'text': '=SUM(Sheet1.B2:B11)'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': '=SUM(Sheet1.B2:B11)'})\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:32:47,299 - agent.ComputerAgent - INFO - Agent: Taking a screenshot to see the current computer screen.\n", - "INFO:agent.ComputerAgent:Agent: Taking a screenshot to see the current computer screen.\n", - "2025-08-11 19:32:47,300 - agent.ComputerAgent - INFO - Computer: click({'x': 578, 'y': 286})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 578, 'y': 286})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:32:47 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 93%|█████████████████████████████████████---| 6798/7340 [246:29<19:39, 27.6 steps/min]\u001b[92m19:32:48 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:32:48,654 - agent.ComputerAgent - INFO - Computer: click({'x': 316, 'y': 416})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 316, 'y': 416})\n", - "\u001b[92m19:32:48 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/775a5b67-2406-42b8-86e5-243e01b8dc27/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/c915dbd9-32bc-40a7-9c07-d437c737419f/invoke \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:32:49,313 - agent.ComputerAgent - INFO - Computer: click({'x': 306, 'y': 416})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 306, 'y': 416})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:32:50 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:32:50 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 93%|█████████████████████████████████████---| 6800/7340 [246:31<19:34, 27.6 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:32:50,681 - agent.ComputerAgent - INFO - Computer: click({'x': 237, 'y': 254})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 237, 'y': 254})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:32:51 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:32:51 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:32:52 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 93%|█████████████████████████████████████---| 6802/7340 [246:33<19:30, 27.6 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:32:52,640 - agent.ComputerAgent - INFO - Agent: Taking a screenshot to see the current computer screen.\n", - "INFO:agent.ComputerAgent:Agent: Taking a screenshot to see the current computer screen.\n", - "2025-08-11 19:32:52,640 - agent.ComputerAgent - INFO - Computer: click({'x': 14, 'y': 524})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 14, 'y': 524})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:32:54,035 - agent.ComputerAgent - INFO - Computer: type({'text': '=A2/1000000'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': '=A2/1000000'})\n", - "\u001b[92m19:32:54 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:32:54 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 93%|█████████████████████████████████████---| 6803/7340 [246:35<19:27, 27.6 steps/min]2025-08-11 19:32:54,689 - agent.ComputerAgent - INFO - Computer: click({'x': 19, 'y': 481})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 19, 'y': 481})\n", - "2025-08-11 19:32:55,406 - agent.ComputerAgent - INFO - Computer: click({'x': 237, 'y': 193})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 237, 'y': 193})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:32:56 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 93%|█████████████████████████████████████---| 6805/7340 [246:37<19:23, 27.6 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:32:56,702 - agent.ComputerAgent - INFO - LLM processing started with 28 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 28 messages\n", - "\u001b[92m19:32:56 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:32:57,376 - agent.ComputerAgent - INFO - LLM processing started with 30 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 30 messages\n", - "\u001b[92m19:32:57 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m19:32:57 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6f3b006b-141d-439d-b6cb-eed7bd6483c3/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/963f0b0a-47d1-479c-9077-6c59023108fe/invoke \"HTTP/1.1 200 OK\"\n", - " 93%|█████████████████████████████████████---| 6807/7340 [246:39<19:18, 27.6 steps/min]2025-08-11 19:32:58,080 - agent.ComputerAgent - INFO - Computer: click({'x': 343, 'y': 183})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 343, 'y': 183})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b928bd01-f1b7-4f34-accf-acb6aec5d8cd/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:32:58,735 - agent.ComputerAgent - INFO - LLM processing started with 22 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 22 messages\n", - "\u001b[92m19:32:58 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:32:59,441 - agent.ComputerAgent - INFO - LLM processing started with 6 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 6 messages\n", - "\u001b[92m19:32:59 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 93%|█████████████████████████████████████---| 6807/7340 [246:41<19:18, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:33:00 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:33:00 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/7633715b-dde0-4c56-a4b6-22ccee78f5f5/invoke \"HTTP/1.1 200 OK\"\n", - " 93%|█████████████████████████████████████---| 6808/7340 [246:42<19:16, 27.6 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:33:01,450 - agent.ComputerAgent - INFO - LLM processing started with 10 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 10 messages\n", - "\u001b[92m19:33:01 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/7f112db6-0b60-4e6c-86f5-0d87dc91f371/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/7a2c2835-d21e-4e04-babb-e8305a4f1f9d/invoke \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:33:02,154 - agent.ComputerAgent - INFO - LLM processing started with 16 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 16 messages\n", - "\u001b[92m19:33:02 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m19:33:02 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0c64a3b4-e9b0-46c1-a580-cdcf62b74e44/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 93%|█████████████████████████████████████---| 6808/7340 [246:43<19:16, 27.6 steps/min]2025-08-11 19:33:02,855 - agent.ComputerAgent - INFO - LLM processing started with 32 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 32 messages\n", - "\u001b[92m19:33:02 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:33:03,530 - agent.ComputerAgent - INFO - Computer: click({'x': 633, 'y': 473})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 633, 'y': 473})\n", - "\u001b[92m19:33:03 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/acf3037a-4b6c-4ea8-b81c-ffc2e76132e1/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/51954fb4-34ed-4511-b2fd-a6169b5ea5d3/invoke \"HTTP/1.1 200 OK\"\n", - " 93%|█████████████████████████████████████---| 6808/7340 [246:45<19:16, 27.6 steps/min]\u001b[92m19:33:03 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:33:04,220 - agent.ComputerAgent - INFO - LLM processing started with 12 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 12 messages\n", - "\u001b[92m19:33:04 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/f209659e-2ed9-40fa-ae61-5359fb9ef290/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:33:04,896 - agent.ComputerAgent - INFO - LLM processing started with 12 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 12 messages\n", - "\u001b[92m19:33:04 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m19:33:04 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 93%|█████████████████████████████████████---| 6809/7340 [246:46<19:14, 27.6 steps/min]2025-08-11 19:33:05,586 - agent.ComputerAgent - INFO - Computer: drag({'path': [{'x': 424, 'y': 418}, {'x': 527, 'y': 226}]})\n", - "INFO:agent.ComputerAgent:Computer: drag({'path': [{'x': 424, 'y': 418}, {'x': 527, 'y': 226}]})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:33:06 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0180c5d2-a012-4261-b093-ed34f443f269/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 93%|█████████████████████████████████████---| 6809/7340 [246:48<19:14, 27.6 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:33:06,917 - agent.ComputerAgent - INFO - LLM processing started with 16 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 16 messages\n", - "\u001b[92m19:33:06 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:33:07,597 - agent.ComputerAgent - INFO - LLM processing started with 6 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 6 messages\n", - "\u001b[92m19:33:07 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m19:33:07 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 93%|█████████████████████████████████████---| 6810/7340 [246:49<19:12, 27.6 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:33:08,272 - agent.ComputerAgent - INFO - Computer: click({'x': 946, 'y': 750})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 946, 'y': 750})\n", - "2025-08-11 19:33:08,957 - agent.ComputerAgent - INFO - LLM processing started with 34 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 34 messages\n", - "\u001b[92m19:33:09 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 93%|█████████████████████████████████████---| 6811/7340 [246:51<19:10, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/51954fb4-34ed-4511-b2fd-a6169b5ea5d3/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/af58ffed-65a3-4c4a-a9fe-5c940230627d/invoke \"HTTP/1.1 200 OK\"\n", - " 93%|█████████████████████████████████████---| 6812/7340 [246:52<19:08, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/51954fb4-34ed-4511-b2fd-a6169b5ea5d3/close \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:33:13,491 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'enter'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'enter'})\n", - " 93%|█████████████████████████████████████---| 6812/7340 [246:55<19:08, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:33:14,808 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'enter'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'enter'})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:33:15 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:33:16 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b928bd01-f1b7-4f34-accf-acb6aec5d8cd/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/1a178f89-87e5-46d9-a114-22d5fcc5c630/invoke \"HTTP/1.1 200 OK\"\n", - " 93%|█████████████████████████████████████---| 6813/7340 [246:57<19:06, 27.6 steps/min]2025-08-11 19:33:16,837 - agent.ComputerAgent - INFO - LLM processing started with 26 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 26 messages\n", - "\u001b[92m19:33:16 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:33:17,526 - agent.ComputerAgent - INFO - LLM processing started with 12 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 12 messages\n", - "\u001b[92m19:33:17 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 93%|█████████████████████████████████████---| 6814/7340 [246:59<19:03, 27.6 steps/min]2025-08-11 19:33:18,187 - agent.ComputerAgent - INFO - LLM processing started with 30 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 30 messages\n", - "\u001b[92m19:33:18 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: GET https://orchestration.hud.so/hud-gym/api/v1/gyms/OSWorld-Ubuntu \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 93%|█████████████████████████████████████---| 6814/7340 [247:00<19:04, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:33:20,027 - agent.ComputerAgent - INFO - Computer: click({'x': 89, 'y': 185})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 89, 'y': 185})\n", - " 93%|█████████████████████████████████████---| 6814/7340 [247:01<19:04, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:33:21,352 - agent.ComputerAgent - INFO - Computer: type({'text': 'find / -type f -name \"secret.docx\" 2>/dev/null'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'find / -type f -name \"secret.docx\" 2>/dev/null'})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:33:22 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 93%|█████████████████████████████████████---| 6815/7340 [247:03<19:01, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/7a2c2835-d21e-4e04-babb-e8305a4f1f9d/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/963f0b0a-47d1-479c-9077-6c59023108fe/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:33:22,639 - agent.ComputerAgent - INFO - LLM processing started with 34 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 34 messages\n", - "\u001b[92m19:33:22 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:33:23,336 - agent.ComputerAgent - INFO - LLM processing started with 24 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 24 messages\n", - "\u001b[92m19:33:23 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 93%|█████████████████████████████████████---| 6816/7340 [247:05<18:59, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Loading checkpoint shards: 0%| | 0/4 [00:00/dev/null | head -n1); printf \"%s\\\\n\" \"$path\"; echo -n \"$path\" | xclip -selection clipboard 2>/dev/null || echo -n \"$path\" | wl-copy 2>/dev/null || true'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'path=$(find / -type f -name \"secret.docx\" 2>/dev/null | head -n1); printf \"%s\\\\n\" \"$path\"; echo -n \"$path\" | xclip -selection clipboard 2>/dev/null || echo -n \"$path\" | wl-copy 2>/dev/null || true'})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Loading checkpoint shards: 50%|█████ | 2/4 [00:03<00:03, 1.76s/it]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:37:48 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Loading checkpoint shards: 75%|███████▌ | 3/4 [00:05<00:01, 1.72s/it]2025-08-11 19:37:50,401 - agent.ComputerAgent - INFO - Agent: The video has been converted to an MP3 and saved on the Desktop as “Baby Justin Bieber.mp3.” You can now play it anytime.\n", - "\n", - "Task completed\n", - "INFO:agent.ComputerAgent:Agent: The video has been converted to an MP3 and saved on the Desktop as “Baby Justin Bieber.mp3.” You can now play it anytime.\n", - "\n", - "Task completed\n", - "Loading checkpoint shards: 100%|██████████| 4/4 [00:05<00:00, 1.45s/it]\n", - "2025-08-11 19:37:51,060 - agent.ComputerAgent - INFO - Total usage:\n", - " - completion_tokens: 488\n", - " - prompt_tokens: 12887\n", - " - total_tokens: 13375\n", - " - completion_tokens_details:\n", - " - accepted_prediction_tokens: 0\n", - " - audio_tokens: 0\n", - " - reasoning_tokens: 448\n", - " - rejected_prediction_tokens: 0\n", - " - prompt_tokens_details:\n", - " - audio_tokens: 0\n", - " - cached_tokens: 0\n", - " - response_cost: $0.0210\n", - "INFO:agent.ComputerAgent:Total usage:\n", - " - completion_tokens: 488\n", - " - prompt_tokens: 12887\n", - " - total_tokens: 13375\n", - " - completion_tokens_details:\n", - " - accepted_prediction_tokens: 0\n", - " - audio_tokens: 0\n", - " - reasoning_tokens: 448\n", - " - rejected_prediction_tokens: 0\n", - " - prompt_tokens_details:\n", - " - audio_tokens: 0\n", - " - cached_tokens: 0\n", - " - response_cost: $0.0210\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:37:51 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m19:37:52 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 95%|█████████████████████████████████████---| 6944/7340 [251:34<14:20, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m19:37:53 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:37:53 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:37:53,761 - agent.ComputerAgent - INFO - Computer: click({'x': 515, 'y': 232})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 515, 'y': 232})\n", - "\u001b[92m19:37:53 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 95%|█████████████████████████████████████---| 6945/7340 [251:35<14:18, 27.6 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:37:54,423 - agent.ComputerAgent - INFO - Computer: scroll({'scroll_y': 640, 'scroll_x': 0, 'x': 989, 'y': 366})\n", - "INFO:agent.ComputerAgent:Computer: scroll({'scroll_y': 640, 'scroll_x': 0, 'x': 989, 'y': 366})\n", - "\u001b[92m19:37:54 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:37:55,120 - agent.ComputerAgent - INFO - Computer: double_click({'x': 94, 'y': 453})\n", - "INFO:agent.ComputerAgent:Computer: double_click({'x': 94, 'y': 453})\n", - "\u001b[92m19:37:55 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 95%|█████████████████████████████████████---| 6946/7340 [251:36<14:16, 27.6 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:37:55,799 - agent.ComputerAgent - INFO - Computer: click({'x': 153, 'y': 52})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 153, 'y': 52})\n", - "\u001b[92m19:37:55 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:37:56,468 - agent.ComputerAgent - INFO - Computer: double_click({'x': 354, 'y': 136})\n", - "INFO:agent.ComputerAgent:Computer: double_click({'x': 354, 'y': 136})\n", - "\u001b[92m19:37:56 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m19:37:57 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 95%|█████████████████████████████████████---| 6948/7340 [251:38<14:11, 27.6 steps/min]2025-08-11 19:37:57,837 - agent.ComputerAgent - INFO - Computer: click({'x': 471, 'y': 205})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 471, 'y': 205})\n", - "\u001b[92m19:37:57 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/af58ffed-65a3-4c4a-a9fe-5c940230627d/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:37:57 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:37:58,540 - agent.ComputerAgent - INFO - Computer: click({'x': 945, 'y': 500})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 945, 'y': 500})\n", - "2025-08-11 19:37:59,244 - agent.ComputerAgent - INFO - Computer: double_click({'x': 989, 'y': 713})\n", - "INFO:agent.ComputerAgent:Computer: double_click({'x': 989, 'y': 713})\n", - " 95%|█████████████████████████████████████---| 6950/7340 [251:40<14:07, 27.6 steps/min]\u001b[92m19:37:59 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:37:59,918 - agent.ComputerAgent - INFO - Computer: click({'x': 913, 'y': 184})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 913, 'y': 184})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0180c5d2-a012-4261-b093-ed34f443f269/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:38:00,585 - agent.ComputerAgent - INFO - LLM processing started with 32 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 32 messages\n", - "\u001b[92m19:38:00 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 95%|█████████████████████████████████████---| 6953/7340 [251:42<14:00, 27.6 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/acf3037a-4b6c-4ea8-b81c-ffc2e76132e1/invoke \"HTTP/1.1 200 OK\"\n", - " 95%|█████████████████████████████████████---| 6954/7340 [251:43<13:58, 27.6 steps/min]2025-08-11 19:38:02,285 - agent.ComputerAgent - INFO - LLM processing started with 22 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 22 messages\n", - "\u001b[92m19:38:02 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 95%|█████████████████████████████████████---| 6954/7340 [251:44<13:58, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/7f112db6-0b60-4e6c-86f5-0d87dc91f371/invoke \"HTTP/1.1 200 OK\"\n", - " 95%|█████████████████████████████████████---| 6954/7340 [251:45<13:58, 27.6 steps/min]2025-08-11 19:38:04,439 - agent.ComputerAgent - INFO - LLM processing started with 28 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 28 messages\n", - "\u001b[92m19:38:04 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/51c56274-d8ae-4edf-8ff1-b637cd2fff66/invoke \"HTTP/1.1 200 OK\"\n", - " 95%|█████████████████████████████████████---| 6954/7340 [251:46<13:58, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/8e75deb1-3c97-408b-8c7d-f4681b322141/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:38:05,613 - agent.ComputerAgent - INFO - LLM processing started with 10 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 10 messages\n", - "\u001b[92m19:38:05 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/c915dbd9-32bc-40a7-9c07-d437c737419f/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:38:07,021 - agent.ComputerAgent - INFO - Agent: I configured your system to lock automatically when you’re away.\n", - "\n", - "What I set\n", - "- Enabled Automatic Screen Lock.\n", - "- Set Blank Screen Delay to 5 minutes, so after 5 minutes of inactivity the screen turns off and locks immediately.\n", - "- Kept “Lock screen on Suspend” enabled, so any suspend will also require a password on wake.\n", - "\n", - "How to adjust later\n", - "- Settings > Privacy > Screen:\n", - " - Change “Blank Screen Delay” to your preferred timeout (e.g., 1–2 minutes for tighter security).\n", - " - “Automatic Screen Lock Delay” is set to lock as soon as the screen turns off.\n", - "\n", - "Tip\n", - "- Press Super+L anytime to lock instantly.\n", - "\n", - "Task completed.\n", - "INFO:agent.ComputerAgent:Agent: I configured your system to lock automatically when you’re away.\n", - "\n", - "What I set\n", - "- Enabled Automatic Screen Lock.\n", - "- Set Blank Screen Delay to 5 minutes, so after 5 minutes of inactivity the screen turns off and locks immediately.\n", - "- Kept “Lock screen on Suspend” enabled, so any suspend will also require a password on wake.\n", - "\n", - "How to adjust later\n", - "- Settings > Privacy > Screen:\n", - " - Change “Blank Screen Delay” to your preferred timeout (e.g., 1–2 minutes for tighter security).\n", - " - “Automatic Screen Lock Delay” is set to lock as soon as the screen turns off.\n", - "\n", - "Tip\n", - "- Press Super+L anytime to lock instantly.\n", - "\n", - "Task completed.\n", - "2025-08-11 19:38:07,641 - agent.ComputerAgent - INFO - Total usage:\n", - " - completion_tokens: 790\n", - " - prompt_tokens: 10768\n", - " - total_tokens: 11558\n", - " - completion_tokens_details:\n", - " - accepted_prediction_tokens: 0\n", - " - audio_tokens: 0\n", - " - reasoning_tokens: 640\n", - " - rejected_prediction_tokens: 0\n", - " - prompt_tokens_details:\n", - " - audio_tokens: 0\n", - " - cached_tokens: 0\n", - " - response_cost: $0.0214\n", - "INFO:agent.ComputerAgent:Total usage:\n", - " - completion_tokens: 790\n", - " - prompt_tokens: 10768\n", - " - total_tokens: 11558\n", - " - completion_tokens_details:\n", - " - accepted_prediction_tokens: 0\n", - " - audio_tokens: 0\n", - " - reasoning_tokens: 640\n", - " - rejected_prediction_tokens: 0\n", - " - prompt_tokens_details:\n", - " - audio_tokens: 0\n", - " - cached_tokens: 0\n", - " - response_cost: $0.0214\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/5e73167c-1836-4752-b7e8-57434e5d7875/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/ba3f752c-7268-49e8-819c-5b471e52bd54/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0c64a3b4-e9b0-46c1-a580-cdcf62b74e44/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/25f45afe-ee57-4629-9991-c515438accab/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/68f513cf-ec21-4216-bab9-84c5bfcfce88/invoke \"HTTP/1.1 200 OK\"\n", - " 95%|█████████████████████████████████████---| 6955/7340 [251:49<13:56, 27.6 steps/min]2025-08-11 19:38:08,315 - agent.ComputerAgent - INFO - LLM processing started with 16 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 16 messages\n", - "\u001b[92m19:38:08 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:38:09 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:38:09,672 - agent.ComputerAgent - INFO - LLM processing started with 14 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 14 messages\n", - "\u001b[92m19:38:09 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 95%|█████████████████████████████████████---| 6955/7340 [251:52<13:56, 27.6 steps/min]\u001b[92m19:38:10 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:38:10 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:38:11,032 - agent.ComputerAgent - INFO - Computer: click({'x': 375, 'y': 75})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 375, 'y': 75})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/af58ffed-65a3-4c4a-a9fe-5c940230627d/invoke \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:38:11 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:38:11,731 - agent.ComputerAgent - INFO - Computer: click({'x': 210, 'y': 202})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 210, 'y': 202})\n", - " 95%|█████████████████████████████████████---| 6958/7340 [251:53<13:49, 27.6 steps/min]2025-08-11 19:38:12,415 - agent.ComputerAgent - INFO - LLM processing started with 30 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 30 messages\n", - "\u001b[92m19:38:12 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/7633715b-dde0-4c56-a4b6-22ccee78f5f5/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:38:13,115 - agent.ComputerAgent - INFO - LLM processing started with 14 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 14 messages\n", - "\u001b[92m19:38:13 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 95%|█████████████████████████████████████---| 6960/7340 [251:54<13:45, 27.6 steps/min]2025-08-11 19:38:13,805 - agent.ComputerAgent - INFO - LLM processing started with 40 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 40 messages\n", - "\u001b[92m19:38:13 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/af58ffed-65a3-4c4a-a9fe-5c940230627d/close \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:38:14,486 - agent.ComputerAgent - INFO - LLM processing started with 10 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 10 messages\n", - "\u001b[92m19:38:14 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:38:15,845 - agent.ComputerAgent - INFO - LLM processing started with 18 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 18 messages\n", - "\u001b[92m19:38:15 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 95%|█████████████████████████████████████---| 6960/7340 [251:57<13:45, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:38:17,724 - agent.ComputerAgent - INFO - Computer: type({'text': 'Vienna'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'Vienna'})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/7633715b-dde0-4c56-a4b6-22ccee78f5f5/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:38:19,084 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ENTER'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ENTER'})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v1/environments/40c5f987-3d81-47fe-8798-4e45d9755f93/reset \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: GET https://orchestration.hud.so/hud-gym/api/v1/gyms/OSWorld-Ubuntu \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6f3b006b-141d-439d-b6cb-eed7bd6483c3/invoke \"HTTP/1.1 200 OK\"\n", - " 95%|█████████████████████████████████████---| 6960/7340 [252:00<13:45, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:38:20,825 - agent.ComputerAgent - INFO - Computer: click({'x': 342, 'y': 184})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 342, 'y': 184})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/31367309-0055-409a-a992-edf729fb010c/invoke \"HTTP/1.1 200 OK\"\n", - " 95%|█████████████████████████████████████---| 6969/7340 [252:02<13:25, 27.7 steps/min]2025-08-11 19:38:21,487 - agent.ComputerAgent - INFO - LLM processing started with 22 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 22 messages\n", - "\u001b[92m19:38:21 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:38:22,165 - agent.ComputerAgent - INFO - LLM processing started with 18 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 18 messages\n", - "\u001b[92m19:38:22 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:38:22 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 95%|█████████████████████████████████████---| 6970/7340 [252:05<13:22, 27.6 steps/min]\u001b[92m19:38:23 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:38:24 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Loading checkpoint shards: 0%| | 0/4 [00:00/dev/null || echo 'Requesting sudo password if needed'\"})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': \"sudo -n true 2>/dev/null || echo 'Requesting sudo password if needed'\"})\n", - " 95%|██████████████████████████████████████--| 6973/7340 [252:29<13:17, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/create_environment \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:38:48 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:38:49,132 - agent.ComputerAgent - INFO - Computer: click({'x': 178, 'y': 305})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 178, 'y': 305})\n", - " 95%|██████████████████████████████████████--| 6974/7340 [252:30<13:15, 27.6 steps/min]\u001b[92m19:38:49 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:38:49,800 - agent.ComputerAgent - INFO - Computer: click({'x': 932, 'y': 296})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 932, 'y': 296})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/fa081188-4859-4858-9d33-0f9675111182/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:38:50 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 95%|██████████████████████████████████████--| 6975/7340 [252:32<13:12, 27.6 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/create_environment \"HTTP/1.1 200 OK\"\n", - " 95%|██████████████████████████████████████--| 6976/7340 [252:33<13:10, 27.6 steps/min]\u001b[92m19:38:51 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:38:52,154 - agent.ComputerAgent - INFO - Computer: click({'x': 88, 'y': 313})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 88, 'y': 313})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/51c56274-d8ae-4edf-8ff1-b637cd2fff66/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:38:52 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/create_environment \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v1/environments/fa081188-4859-4858-9d33-0f9675111182/reset \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/cb64a220-43d8-4373-bd2a-e73bacb4a122/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - " 95%|██████████████████████████████████████--| 6976/7340 [252:35<13:10, 27.6 steps/min]\u001b[92m19:38:53 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/1a178f89-87e5-46d9-a114-22d5fcc5c630/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:38:54,176 - agent.ComputerAgent - INFO - LLM processing started with 12 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 12 messages\n", - "\u001b[92m19:38:54 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m19:38:54 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:38:54 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/8e75deb1-3c97-408b-8c7d-f4681b322141/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/68f513cf-ec21-4216-bab9-84c5bfcfce88/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/25f45afe-ee57-4629-9991-c515438accab/invoke \"HTTP/1.1 200 OK\"\n", - " 95%|██████████████████████████████████████--| 6977/7340 [252:36<13:08, 27.6 steps/min]2025-08-11 19:38:55,531 - agent.ComputerAgent - INFO - Agent: Taking a screenshot to see the current computer screen.\n", - "INFO:agent.ComputerAgent:Agent: Taking a screenshot to see the current computer screen.\n", - "2025-08-11 19:38:55,532 - agent.ComputerAgent - INFO - Computer: double_click({'x': 379, 'y': 105})\n", - "INFO:agent.ComputerAgent:Computer: double_click({'x': 379, 'y': 105})\n", - "2025-08-11 19:38:56,196 - agent.ComputerAgent - INFO - LLM processing started with 12 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 12 messages\n", - "\u001b[92m19:38:56 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 95%|██████████████████████████████████████--| 6977/7340 [252:37<13:08, 27.6 steps/min]2025-08-11 19:38:56,856 - agent.ComputerAgent - INFO - LLM processing started with 16 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 16 messages\n", - "\u001b[92m19:38:56 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m19:38:57 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:38:57,552 - agent.ComputerAgent - INFO - Computer: click({'x': 351, 'y': 75})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 351, 'y': 75})\n", - " 95%|██████████████████████████████████████--| 6978/7340 [252:39<13:06, 27.6 steps/min]2025-08-11 19:38:58,981 - agent.ComputerAgent - INFO - LLM processing started with 20 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 20 messages\n", - "\u001b[92m19:38:59 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/d71be89e-00e2-40e7-8b8d-38e36bc6d26c/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/fa081188-4859-4858-9d33-0f9675111182/invoke \"HTTP/1.1 200 OK\"\n", - " 95%|██████████████████████████████████████--| 6979/7340 [252:40<13:04, 27.6 steps/min]2025-08-11 19:38:59,669 - agent.ComputerAgent - INFO - LLM processing started with 1 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 1 messages\n", - "\u001b[92m19:38:59 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m19:38:59 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m19:38:59 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 95%|██████████████████████████████████████--| 6979/7340 [252:42<13:04, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/40c5f987-3d81-47fe-8798-4e45d9755f93/invoke \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:39:02,357 - agent.ComputerAgent - INFO - LLM processing started with 6 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 6 messages\n", - "\u001b[92m19:39:02 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:39:02 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:39:03,722 - agent.ComputerAgent - INFO - Computer: wait({})\n", - "INFO:agent.ComputerAgent:Computer: wait({})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/ba3f752c-7268-49e8-819c-5b471e52bd54/invoke \"HTTP/1.1 200 OK\"\n", - " 95%|██████████████████████████████████████--| 6979/7340 [252:45<13:04, 27.6 steps/min]2025-08-11 19:39:04,403 - agent.ComputerAgent - INFO - Computer: scroll({'scroll_y': 640, 'scroll_x': 0, 'x': 993, 'y': 732})\n", - "INFO:agent.ComputerAgent:Computer: scroll({'scroll_y': 640, 'scroll_x': 0, 'x': 993, 'y': 732})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6f3b006b-141d-439d-b6cb-eed7bd6483c3/invoke \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:39:05,068 - agent.ComputerAgent - INFO - LLM processing started with 16 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 16 messages\n", - "\u001b[92m19:39:05 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m19:39:05 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 95%|██████████████████████████████████████--| 6980/7340 [252:46<13:02, 27.6 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:39:06,128 - agent.ComputerAgent - INFO - Computer: click({'x': 316, 'y': 183})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 316, 'y': 183})\n", - "2025-08-11 19:39:06,806 - agent.ComputerAgent - INFO - LLM processing started with 24 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 24 messages\n", - "\u001b[92m19:39:06 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:39:08,174 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ENTER'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ENTER'})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - " 95%|██████████████████████████████████████--| 6981/7340 [252:50<13:00, 27.6 steps/min]\u001b[92m19:39:08 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:39:08 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:39:10,148 - agent.ComputerAgent - INFO - Agent: Taking a screenshot to see the current computer screen.\n", - "INFO:agent.ComputerAgent:Agent: Taking a screenshot to see the current computer screen.\n", - "2025-08-11 19:39:10,149 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'meta'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'meta'})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:39:10 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:39:11,496 - agent.ComputerAgent - INFO - Computer: click({'x': 569, 'y': 372})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 569, 'y': 372})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:39:11 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:39:12,817 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ctrl+a'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ctrl+a'})\n", - " 95%|██████████████████████████████████████--| 6983/7340 [252:54<12:55, 27.6 steps/min]2025-08-11 19:39:13,521 - agent.ComputerAgent - INFO - Computer: click({'x': 81, 'y': 148})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 81, 'y': 148})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:39:13 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:39:14 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/create_environment \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/25f45afe-ee57-4629-9991-c515438accab/invoke \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:39:14,827 - agent.ComputerAgent - INFO - Computer: drag({'path': [{'x': 210, 'y': 177}, {'x': 210, 'y': 457}]})\n", - "INFO:agent.ComputerAgent:Computer: drag({'path': [{'x': 210, 'y': 177}, {'x': 210, 'y': 457}]})\n", - "2025-08-11 19:39:15,498 - agent.ComputerAgent - INFO - LLM processing started with 14 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 14 messages\n", - "\u001b[92m19:39:15 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:39:16,177 - agent.ComputerAgent - INFO - LLM processing started with 14 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 14 messages\n", - " 95%|██████████████████████████████████████--| 6985/7340 [252:57<12:51, 27.6 steps/min]\u001b[92m19:39:16 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m19:39:16 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/create_environment \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:39:16 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 95%|██████████████████████████████████████--| 6987/7340 [252:58<12:46, 27.6 steps/min]\u001b[92m19:39:17 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:39:17,905 - agent.ComputerAgent - INFO - Computer: click({'x': 461, 'y': 321})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 461, 'y': 321})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9882ec8e-4618-4be3-802e-bb5c58c9fbbc/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b14fe395-5fa2-43f0-9d0b-23c42f3e9093/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:39:18 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 95%|██████████████████████████████████████--| 6988/7340 [253:01<12:44, 27.6 steps/min]\u001b[92m19:39:20 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:39:20,770 - agent.ComputerAgent - INFO - Computer: click({'x': 15, 'y': 430})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 15, 'y': 430})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0180c5d2-a012-4261-b093-ed34f443f269/invoke \"HTTP/1.1 200 OK\"\n", - " 95%|██████████████████████████████████████--| 6988/7340 [253:02<12:44, 27.6 steps/min]2025-08-11 19:39:21,798 - agent.ComputerAgent - INFO - LLM processing started with 36 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 36 messages\n", - "\u001b[92m19:39:21 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/fa081188-4859-4858-9d33-0f9675111182/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/5e73167c-1836-4752-b7e8-57434e5d7875/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/68f513cf-ec21-4216-bab9-84c5bfcfce88/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/31367309-0055-409a-a992-edf729fb010c/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/c915dbd9-32bc-40a7-9c07-d437c737419f/invoke \"HTTP/1.1 200 OK\"\n", - " 95%|██████████████████████████████████████--| 6989/7340 [253:03<12:42, 27.6 steps/min]2025-08-11 19:39:22,498 - agent.ComputerAgent - INFO - LLM processing started with 6 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 6 messages\n", - "\u001b[92m19:39:22 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:39:23,147 - agent.ComputerAgent - INFO - LLM processing started with 20 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 20 messages\n", - "\u001b[92m19:39:23 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m19:39:23 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 95%|██████████████████████████████████████--| 6989/7340 [253:04<12:42, 27.6 steps/min]2025-08-11 19:39:23,865 - agent.ComputerAgent - INFO - Computer: drag({'path': [{'x': 209, 'y': 146}, {'x': 281, 'y': 396}]})\n", - "INFO:agent.ComputerAgent:Computer: drag({'path': [{'x': 209, 'y': 146}, {'x': 281, 'y': 396}]})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0c64a3b4-e9b0-46c1-a580-cdcf62b74e44/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/7f112db6-0b60-4e6c-86f5-0d87dc91f371/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:39:24,516 - agent.ComputerAgent - INFO - LLM processing started with 20 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 20 messages\n", - "\u001b[92m19:39:24 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/1a178f89-87e5-46d9-a114-22d5fcc5c630/invoke \"HTTP/1.1 200 OK\"\n", - " 95%|██████████████████████████████████████--| 6989/7340 [253:06<12:42, 27.6 steps/min]2025-08-11 19:39:25,167 - agent.ComputerAgent - INFO - LLM processing started with 34 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 34 messages\n", - "\u001b[92m19:39:25 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:39:25 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:39:27,161 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'esc'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'esc'})\n", - "2025-08-11 19:39:27,846 - agent.ComputerAgent - INFO - LLM processing started with 32 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 32 messages\n", - "\u001b[92m19:39:27 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:39:28,870 - agent.ComputerAgent - INFO - LLM processing started with 42 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 42 messages\n", - "\u001b[92m19:39:28 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/1a178f89-87e5-46d9-a114-22d5fcc5c630/close \"HTTP/1.1 200 OK\"\n", - " 95%|██████████████████████████████████████--| 6990/7340 [253:10<12:40, 27.6 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m19:39:28 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:39:30,222 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ctrl+a'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ctrl+a'})\n", - "2025-08-11 19:39:30,916 - agent.ComputerAgent - INFO - Computer: click({'x': 91, 'y': 314})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 91, 'y': 314})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:39:32 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/40c5f987-3d81-47fe-8798-4e45d9755f93/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 95%|██████████████████████████████████████--| 6991/7340 [253:13<12:38, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/acf3037a-4b6c-4ea8-b81c-ffc2e76132e1/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:39:32 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:39:33,548 - agent.ComputerAgent - INFO - LLM processing started with 16 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 16 messages\n", - "\u001b[92m19:39:33 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m19:39:33 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 95%|██████████████████████████████████████--| 6992/7340 [253:15<12:36, 27.6 steps/min]2025-08-11 19:39:34,246 - agent.ComputerAgent - INFO - LLM processing started with 22 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 22 messages\n", - "\u001b[92m19:39:34 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:39:34,914 - agent.ComputerAgent - INFO - Computer: click({'x': 341, 'y': 305})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 341, 'y': 305})\n", - "2025-08-11 19:39:35,577 - agent.ComputerAgent - INFO - LLM processing started with 8 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 8 messages\n", - "\u001b[92m19:39:35 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 95%|██████████████████████████████████████--| 6992/7340 [253:17<12:36, 27.6 steps/min]2025-08-11 19:39:36,257 - agent.ComputerAgent - INFO - LLM processing started with 26 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 26 messages\n", - "\u001b[92m19:39:36 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: GET https://orchestration.hud.so/hud-gym/api/v1/gyms/OSWorld-Ubuntu \"HTTP/1.1 200 OK\"\n", - "Loading checkpoint shards: 0%| | 0/4 [00:00/dev/null 2>&1; then\\n echo \\'User charles already exists\\'\\nelse\\n sudo useradd -M -s /usr/sbin/nologin -d / charles\\nfi\\n\\necho \\'charles:Ex@mpleP@55w0rd!\\' | sudo chpasswd\\n\\n# Give the user write access inside the jail via a subdirectory\\nsudo mkdir -p /home/test1/uploads\\nsudo chown charles:charles /home/test1/uploads\\n\\n# Configure OpenSSH to chroot the user and force SFTP only\\nsudo bash -lc \\'cat >>/etc/ssh/sshd_config <<\"EOF\"\\n\\nMatch User charles\\n ChrootDirectory /home/test1\\n ForceCommand internal-sftp\\n AllowTCPForwarding no\\n X11Forwarding no\\nEOF\\'\\n\\n# Restart SSH to apply changes\\nsudo systemctl restart ssh || sudo systemctl restart sshd\\n\\necho \\'Setup complete: user charles restricted to /home/test1 via SFTP.\\''})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'set -e\\nsudo mkdir -p /home/test1/uploads\\nsudo chown root:root /home/test1\\nsudo chmod 755 /home/test1\\n\\n# Create the user for SFTP-only access chrooted to /home/test1\\nif id -u charles >/dev/null 2>&1; then\\n echo \\'User charles already exists\\'\\nelse\\n sudo useradd -M -s /usr/sbin/nologin -d / charles\\nfi\\n\\necho \\'charles:Ex@mpleP@55w0rd!\\' | sudo chpasswd\\n\\n# Give the user write access inside the jail via a subdirectory\\nsudo mkdir -p /home/test1/uploads\\nsudo chown charles:charles /home/test1/uploads\\n\\n# Configure OpenSSH to chroot the user and force SFTP only\\nsudo bash -lc \\'cat >>/etc/ssh/sshd_config <<\"EOF\"\\n\\nMatch User charles\\n ChrootDirectory /home/test1\\n ForceCommand internal-sftp\\n AllowTCPForwarding no\\n X11Forwarding no\\nEOF\\'\\n\\n# Restart SSH to apply changes\\nsudo systemctl restart ssh || sudo systemctl restart sshd\\n\\necho \\'Setup complete: user charles restricted to /home/test1 via SFTP.\\''})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Loading checkpoint shards: 100%|██████████| 4/4 [00:05<00:00, 1.34s/it]\n", - "\u001b[92m19:41:20 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 96%|██████████████████████████████████████--| 7029/7340 [255:01<11:17, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:41:21 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 96%|██████████████████████████████████████--| 7030/7340 [255:03<11:14, 27.6 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m19:41:22 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:41:22 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:41:22,776 - agent.ComputerAgent - INFO - Computer: click({'x': 187, 'y': 52})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 187, 'y': 52})\n", - " 96%|██████████████████████████████████████--| 7030/7340 [255:04<11:14, 27.6 steps/min]\u001b[92m19:41:22 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:41:23,473 - agent.ComputerAgent - INFO - Computer: click({'x': 540, 'y': 471})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 540, 'y': 471})\n", - "\u001b[92m19:41:23 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:41:24,156 - agent.ComputerAgent - INFO - Computer: click({'x': 865, 'y': 201})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 865, 'y': 201})\n", - "\u001b[92m19:41:24 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:41:24 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 96%|██████████████████████████████████████--| 7031/7340 [255:06<11:12, 27.6 steps/min]\u001b[92m19:41:24 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:41:25,511 - agent.ComputerAgent - INFO - Computer: click({'x': 91, 'y': 314, 'button': 'left'})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 91, 'y': 314, 'button': 'left'})\n", - "2025-08-11 19:41:26,190 - agent.ComputerAgent - INFO - Computer: scroll({'scroll_y': 640, 'scroll_x': 0, 'x': 990, 'y': 709})\n", - "INFO:agent.ComputerAgent:Computer: scroll({'scroll_y': 640, 'scroll_x': 0, 'x': 990, 'y': 709})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/25f45afe-ee57-4629-9991-c515438accab/invoke \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:41:26 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:41:26,861 - agent.ComputerAgent - INFO - Computer: click({'x': 13, 'y': 673})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 13, 'y': 673})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:41:28,168 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'F11'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'F11'})\n", - " 96%|██████████████████████████████████████--| 7033/7340 [255:09<11:08, 27.6 steps/min]2025-08-11 19:41:28,840 - agent.ComputerAgent - INFO - LLM processing started with 24 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 24 messages\n", - "\u001b[92m19:41:28 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/68f513cf-ec21-4216-bab9-84c5bfcfce88/invoke \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:41:28 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:41:29,543 - agent.ComputerAgent - INFO - Computer: click({'x': 461, 'y': 101})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 461, 'y': 101})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - " 96%|██████████████████████████████████████--| 7037/7340 [255:11<10:59, 27.6 steps/min]\u001b[92m19:41:30 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:41:30,890 - agent.ComputerAgent - INFO - LLM processing started with 28 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 28 messages\n", - "\u001b[92m19:41:30 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m19:41:30 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:41:31,564 - agent.ComputerAgent - INFO - Computer: click({'x': 510, 'y': 283})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 510, 'y': 283})\n", - " 96%|██████████████████████████████████████--| 7039/7340 [255:16<10:54, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/31367309-0055-409a-a992-edf729fb010c/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/8e75deb1-3c97-408b-8c7d-f4681b322141/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/ba3f752c-7268-49e8-819c-5b471e52bd54/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/51c56274-d8ae-4edf-8ff1-b637cd2fff66/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:41:35,309 - agent.ComputerAgent - INFO - LLM processing started with 26 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 26 messages\n", - "\u001b[92m19:41:35 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/fa081188-4859-4858-9d33-0f9675111182/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0c64a3b4-e9b0-46c1-a580-cdcf62b74e44/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:41:36,009 - agent.ComputerAgent - INFO - LLM processing started with 26 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 26 messages\n", - "\u001b[92m19:41:36 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/5e73167c-1836-4752-b7e8-57434e5d7875/invoke \"HTTP/1.1 200 OK\"\n", - " 96%|██████████████████████████████████████--| 7039/7340 [255:17<10:55, 27.6 steps/min]2025-08-11 19:41:36,709 - agent.ComputerAgent - INFO - LLM processing started with 18 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 18 messages\n", - "\u001b[92m19:41:36 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:41:37,392 - agent.ComputerAgent - INFO - LLM processing started with 24 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 24 messages\n", - "\u001b[92m19:41:37 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:41:38,081 - agent.ComputerAgent - INFO - LLM processing started with 22 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 22 messages\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:41:38 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m19:41:38 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:41:39 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/7f112db6-0b60-4e6c-86f5-0d87dc91f371/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/40c5f987-3d81-47fe-8798-4e45d9755f93/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - " 96%|██████████████████████████████████████--| 7039/7340 [255:21<10:55, 27.6 steps/min]\u001b[92m19:41:40 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m19:41:40 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:41:40 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:41:41,479 - agent.ComputerAgent - INFO - LLM processing started with 18 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 18 messages\n", - "\u001b[92m19:41:41 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m19:41:41 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:41:42,130 - agent.ComputerAgent - INFO - LLM processing started with 28 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 28 messages\n", - "\u001b[92m19:41:42 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m19:41:42 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 96%|██████████████████████████████████████--| 7039/7340 [255:23<10:55, 27.6 steps/min]\u001b[92m19:41:42 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:41:42,794 - agent.ComputerAgent - INFO - Computer: click({'x': 996, 'y': 732})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 996, 'y': 732})\n", - "2025-08-11 19:41:43,448 - agent.ComputerAgent - INFO - Computer: click({'x': 223, 'y': 35})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 223, 'y': 35})\n", - "\u001b[92m19:41:43 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:41:43 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 96%|██████████████████████████████████████--| 7039/7340 [255:25<10:55, 27.6 steps/min]2025-08-11 19:41:44,120 - agent.ComputerAgent - INFO - Computer: click({'x': 343, 'y': 195})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 343, 'y': 195})\n", - "2025-08-11 19:41:44,810 - agent.ComputerAgent - INFO - Computer: drag({'path': [{'x': 209, 'y': 146}, {'x': 407, 'y': 399}]})\n", - "INFO:agent.ComputerAgent:Computer: drag({'path': [{'x': 209, 'y': 146}, {'x': 407, 'y': 399}]})\n", - " 96%|██████████████████████████████████████--| 7041/7340 [255:26<10:50, 27.6 steps/min]2025-08-11 19:41:45,450 - agent.ComputerAgent - INFO - LLM processing started with 40 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 40 messages\n", - "\u001b[92m19:41:45 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:41:46,139 - agent.ComputerAgent - INFO - LLM processing started with 38 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 38 messages\n", - "\u001b[92m19:41:46 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 96%|██████████████████████████████████████--| 7043/7340 [255:30<10:46, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:41:50,003 - agent.ComputerAgent - INFO - Computer: type({'text': 'chrome refresh 2023'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'chrome refresh 2023'})\n", - " 96%|██████████████████████████████████████--| 7043/7340 [255:31<10:46, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:41:50 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:41:51,944 - agent.ComputerAgent - INFO - Computer: type({'text': 'Yann LeCun Google Scholar'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'Yann LeCun Google Scholar'})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/25f45afe-ee57-4629-9991-c515438accab/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0180c5d2-a012-4261-b093-ed34f443f269/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/acf3037a-4b6c-4ea8-b81c-ffc2e76132e1/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6f3b006b-141d-439d-b6cb-eed7bd6483c3/invoke \"HTTP/1.1 200 OK\"\n", - " 96%|██████████████████████████████████████--| 7044/7340 [255:33<10:44, 27.6 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:41:52,582 - agent.ComputerAgent - INFO - LLM processing started with 26 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 26 messages\n", - "\u001b[92m19:41:52 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:41:53 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:41:53 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 96%|██████████████████████████████████████--| 7045/7340 [255:35<10:42, 27.6 steps/min]\u001b[92m19:41:53 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:41:54,575 - agent.ComputerAgent - INFO - LLM processing started with 32 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 32 messages\n", - "\u001b[92m19:41:54 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:41:55,282 - agent.ComputerAgent - INFO - Computer: click({'x': 90, 'y': 314, 'button': 'left'})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 90, 'y': 314, 'button': 'left'})\n", - "\u001b[92m19:41:55 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v1/environments/26dc2412-0699-4a4e-a272-dc576348a5c8/reset \"HTTP/1.1 200 OK\"\n", - " 96%|██████████████████████████████████████--| 7045/7340 [255:37<10:42, 27.6 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:41:55,970 - agent.ComputerAgent - INFO - Computer: double_click({'x': 12, 'y': 524})\n", - "INFO:agent.ComputerAgent:Computer: double_click({'x': 12, 'y': 524})\n", - "\u001b[92m19:41:55 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:41:56,628 - agent.ComputerAgent - INFO - Computer: click({'x': 164, 'y': 427})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 164, 'y': 427})\n", - " 96%|██████████████████████████████████████--| 7046/7340 [255:38<10:40, 27.6 steps/min]2025-08-11 19:41:57,310 - agent.ComputerAgent - INFO - LLM processing started with 34 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 34 messages\n", - "\u001b[92m19:41:57 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:41:58 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 96%|██████████████████████████████████████--| 7048/7340 [255:40<10:35, 27.6 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m19:41:58 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:41:59,486 - agent.ComputerAgent - INFO - Computer: scroll({'scroll_y': 590, 'scroll_x': 0, 'x': 991, 'y': 420})\n", - "INFO:agent.ComputerAgent:Computer: scroll({'scroll_y': 590, 'scroll_x': 0, 'x': 991, 'y': 420})\n", - " 96%|██████████████████████████████████████--| 7048/7340 [255:41<10:35, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0180c5d2-a012-4261-b093-ed34f443f269/invoke \"HTTP/1.1 200 OK\"\n", - " 96%|██████████████████████████████████████--| 7049/7340 [255:42<10:33, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/26dc2412-0699-4a4e-a272-dc576348a5c8/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:42:02,043 - agent.ComputerAgent - INFO - LLM processing started with 1 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 1 messages\n", - "\u001b[92m19:42:02 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/ba3f752c-7268-49e8-819c-5b471e52bd54/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/40c5f987-3d81-47fe-8798-4e45d9755f93/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/fa081188-4859-4858-9d33-0f9675111182/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0180c5d2-a012-4261-b093-ed34f443f269/close \"HTTP/1.1 200 OK\"\n", - " 96%|██████████████████████████████████████--| 7049/7340 [255:43<10:33, 27.6 steps/min]2025-08-11 19:42:03,400 - agent.ComputerAgent - INFO - LLM processing started with 20 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 20 messages\n", - "\u001b[92m19:42:03 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:42:04,040 - agent.ComputerAgent - INFO - LLM processing started with 20 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 20 messages\n", - "\u001b[92m19:42:04 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:42:04 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:42:05 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/68f513cf-ec21-4216-bab9-84c5bfcfce88/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/51c56274-d8ae-4edf-8ff1-b637cd2fff66/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:42:06 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 96%|██████████████████████████████████████--| 7049/7340 [255:47<10:33, 27.6 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/5e73167c-1836-4752-b7e8-57434e5d7875/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:42:06,703 - agent.ComputerAgent - INFO - LLM processing started with 26 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 26 messages\n", - "\u001b[92m19:42:06 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "Loading checkpoint shards: 0%| | 0/4 [00:00Background Cover'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': '>Background Cover'})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/7f112db6-0b60-4e6c-86f5-0d87dc91f371/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/create_environment \"HTTP/1.1 200 OK\"\n", - " 96%|██████████████████████████████████████--| 7072/7340 [256:50<9:43, 27.5 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9882ec8e-4618-4be3-802e-bb5c58c9fbbc/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:43:08,956 - agent.ComputerAgent - INFO - LLM processing started with 1 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 1 messages\n", - "\u001b[92m19:43:08 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:43:10,282 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ENTER'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ENTER'})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:43:10 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:43:12,251 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ENTER'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ENTER'})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m19:43:12 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/ba3f752c-7268-49e8-819c-5b471e52bd54/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 96%|██████████████████████████████████████--| 7074/7340 [256:54<9:39, 27.5 steps/min]2025-08-11 19:43:13,540 - agent.ComputerAgent - INFO - LLM processing started with 1 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 1 messages\n", - "\u001b[92m19:43:13 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m19:43:13 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:43:14,917 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'enter'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'enter'})\n", - "2025-08-11 19:43:15,565 - agent.ComputerAgent - INFO - Agent: Taking a screenshot to see the current computer screen.\n", - "INFO:agent.ComputerAgent:Agent: Taking a screenshot to see the current computer screen.\n", - "2025-08-11 19:43:15,566 - agent.ComputerAgent - INFO - Computer: click({'x': 75, 'y': 166})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 75, 'y': 166})\n", - "\u001b[92m19:43:15 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 96%|██████████████████████████████████████--| 7076/7340 [256:57<9:35, 27.5 steps/min]2025-08-11 19:43:16,239 - agent.ComputerAgent - INFO - Computer: click({'x': 985, 'y': 759})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 985, 'y': 759})\n", - "2025-08-11 19:43:16,881 - agent.ComputerAgent - INFO - LLM processing started with 42 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 42 messages\n", - "\u001b[92m19:43:16 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 96%|██████████████████████████████████████--| 7078/7340 [256:58<9:30, 27.5 steps/min]2025-08-11 19:43:17,557 - agent.ComputerAgent - INFO - LLM processing started with 32 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 32 messages\n", - "\u001b[92m19:43:17 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:43:18 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/765aa707-cf44-4dd0-8933-2c2b94870afd/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:43:18,888 - agent.ComputerAgent - INFO - LLM processing started with 38 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 38 messages\n", - "\u001b[92m19:43:18 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 96%|██████████████████████████████████████--| 7079/7340 [257:00<9:28, 27.5 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:43:20,265 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ctrl++'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ctrl++'})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:43:20 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 96%|██████████████████████████████████████--| 7079/7340 [257:02<9:28, 27.5 steps/min]\u001b[92m19:43:20 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:43:21,621 - agent.ComputerAgent - INFO - Computer: scroll({'scroll_y': 588, 'scroll_x': 0, 'x': 991, 'y': 433})\n", - "INFO:agent.ComputerAgent:Computer: scroll({'scroll_y': 588, 'scroll_x': 0, 'x': 991, 'y': 433})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:43:22 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/51c56274-d8ae-4edf-8ff1-b637cd2fff66/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:43:23,319 - agent.ComputerAgent - INFO - LLM processing started with 26 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 26 messages\n", - "\u001b[92m19:43:23 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/25f45afe-ee57-4629-9991-c515438accab/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/d71be89e-00e2-40e7-8b8d-38e36bc6d26c/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m19:43:24 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/26dc2412-0699-4a4e-a272-dc576348a5c8/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/68f513cf-ec21-4216-bab9-84c5bfcfce88/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0c64a3b4-e9b0-46c1-a580-cdcf62b74e44/invoke \"HTTP/1.1 200 OK\"\n", - " 96%|██████████████████████████████████████--| 7079/7340 [257:05<9:28, 27.5 steps/min]\u001b[92m19:43:24 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:43:24,668 - agent.ComputerAgent - INFO - LLM processing started with 32 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 32 messages\n", - "\u001b[92m19:43:24 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:43:25,366 - agent.ComputerAgent - INFO - Computer: click({'x': 341, 'y': 75})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 341, 'y': 75})\n", - "\u001b[92m19:43:25 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:43:25 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:43:26,376 - agent.ComputerAgent - INFO - Agent: Taking a screenshot to see the current computer screen.\n", - "INFO:agent.ComputerAgent:Agent: Taking a screenshot to see the current computer screen.\n", - "2025-08-11 19:43:26,377 - agent.ComputerAgent - INFO - Computer: click({'x': 48, 'y': 52})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 48, 'y': 52})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:43:27,706 - agent.ComputerAgent - INFO - Computer: click({'x': 213, 'y': 183})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 213, 'y': 183})\n", - " 96%|██████████████████████████████████████--| 7080/7340 [257:09<9:26, 27.5 steps/min]2025-08-11 19:43:28,338 - agent.ComputerAgent - INFO - LLM processing started with 30 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 30 messages\n", - "\u001b[92m19:43:28 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:43:29,016 - agent.ComputerAgent - INFO - Computer: click({'x': 666, 'y': 279})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 666, 'y': 279})\n", - " 96%|██████████████████████████████████████--| 7083/7340 [257:10<9:19, 27.5 steps/min]2025-08-11 19:43:29,687 - agent.ComputerAgent - INFO - LLM processing started with 6 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 6 messages\n", - "\u001b[92m19:43:29 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:43:30,358 - agent.ComputerAgent - INFO - LLM processing started with 10 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 10 messages\n", - "\u001b[92m19:43:30 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/cb64a220-43d8-4373-bd2a-e73bacb4a122/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 97%|██████████████████████████████████████--| 7084/7340 [257:12<9:17, 27.5 steps/min]2025-08-11 19:43:31,038 - agent.ComputerAgent - INFO - LLM processing started with 8 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 8 messages\n", - "\u001b[92m19:43:31 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:43:31 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v1/environments/765aa707-cf44-4dd0-8933-2c2b94870afd/reset \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 97%|██████████████████████████████████████--| 7084/7340 [257:13<9:17, 27.5 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:43:32,348 - agent.ComputerAgent - INFO - LLM processing started with 34 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 34 messages\n", - "\u001b[92m19:43:32 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m19:43:32 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:43:33,008 - agent.ComputerAgent - INFO - Agent: Taking a screenshot to see the current computer screen.\n", - "INFO:agent.ComputerAgent:Agent: Taking a screenshot to see the current computer screen.\n", - "2025-08-11 19:43:33,009 - agent.ComputerAgent - INFO - Computer: click({'x': 79, 'y': 157})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 79, 'y': 157})\n", - " 97%|██████████████████████████████████████--| 7084/7340 [257:14<9:17, 27.5 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:43:34 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0c64a3b4-e9b0-46c1-a580-cdcf62b74e44/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 97%|██████████████████████████████████████--| 7085/7340 [257:15<9:15, 27.5 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m19:43:34 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:43:35,405 - agent.ComputerAgent - INFO - Computer: click({'x': 679, 'y': 563})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 679, 'y': 563})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:43:36,736 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ctrl++'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ctrl++'})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6f3b006b-141d-439d-b6cb-eed7bd6483c3/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:43:37 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9882ec8e-4618-4be3-802e-bb5c58c9fbbc/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/fa081188-4859-4858-9d33-0f9675111182/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/0c64a3b4-e9b0-46c1-a580-cdcf62b74e44/close \"HTTP/1.1 200 OK\"\n", - " 97%|██████████████████████████████████████--| 7086/7340 [257:19<9:13, 27.5 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/765aa707-cf44-4dd0-8933-2c2b94870afd/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/5e73167c-1836-4752-b7e8-57434e5d7875/invoke \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:43:38,000 - agent.ComputerAgent - INFO - LLM processing started with 28 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 28 messages\n", - "\u001b[92m19:43:38 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/31367309-0055-409a-a992-edf729fb010c/invoke \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:43:38 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b14fe395-5fa2-43f0-9d0b-23c42f3e9093/invoke \"HTTP/1.1 200 OK\"\n", - " 97%|██████████████████████████████████████--| 7087/7340 [257:20<9:11, 27.5 steps/min]2025-08-11 19:43:39,348 - agent.ComputerAgent - INFO - Computer: click({'button': 'left', 'x': 308, 'y': 153})\n", - "INFO:agent.ComputerAgent:Computer: click({'button': 'left', 'x': 308, 'y': 153})\n", - "2025-08-11 19:43:40,018 - agent.ComputerAgent - INFO - LLM processing started with 26 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 26 messages\n", - "\u001b[92m19:43:40 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:43:40,687 - agent.ComputerAgent - INFO - LLM processing started with 6 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 6 messages\n", - "\u001b[92m19:43:40 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:43:41,369 - agent.ComputerAgent - INFO - LLM processing started with 36 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 36 messages\n", - "\u001b[92m19:43:41 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - " 97%|██████████████████████████████████████--| 7087/7340 [257:23<9:11, 27.5 steps/min]\u001b[92m19:43:42 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:43:42 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:43:43,783 - agent.ComputerAgent - INFO - LLM processing started with 34 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 34 messages\n", - "\u001b[92m19:43:43 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "Loading checkpoint shards: 0%| | 0/4 [00:00>/etc/ssh/sshd_config <<\"EOF\"\\n\\nMatch User charles\\n ChrootDirectory /home/test1\\n ForceCommand internal-sftp\\n AllowTCPForwarding no\\n X11Forwarding no\\nEOF\\'\\n\\n# Apply changes\\nsudo systemctl restart ssh || sudo systemctl restart sshd\\n\\n# Show resulting setup\\nid charles\\nls -ld /home/test1 /home/test1/uploads'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'set -e\\nsudo mkdir -p /home/test1\\nsudo chown root:root /home/test1\\nsudo chmod 755 /home/test1\\n\\n# Create user with no shell access\\nsudo useradd -M -s /usr/sbin/nologin -d / charles || true\\n\\necho \\'charles:Ex@mpleP@55w0rd!\\' | sudo chpasswd\\n\\n# Writable directory inside the jail\\nsudo mkdir -p /home/test1/uploads\\nsudo chown charles:charles /home/test1/uploads\\n\\n# Configure SSH to restrict user to SFTP chroot at /home/test1\\nsudo bash -lc \\'cat >>/etc/ssh/sshd_config <<\"EOF\"\\n\\nMatch User charles\\n ChrootDirectory /home/test1\\n ForceCommand internal-sftp\\n AllowTCPForwarding no\\n X11Forwarding no\\nEOF\\'\\n\\n# Apply changes\\nsudo systemctl restart ssh || sudo systemctl restart sshd\\n\\n# Show resulting setup\\nid charles\\nls -ld /home/test1 /home/test1/uploads'})\n", - " 97%|██████████████████████████████████████--| 7110/7340 [257:49<8:20, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:44:09 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9882ec8e-4618-4be3-802e-bb5c58c9fbbc/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/fa081188-4859-4858-9d33-0f9675111182/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/40c5f987-3d81-47fe-8798-4e45d9755f93/invoke \"HTTP/1.1 200 OK\"\n", - " 97%|██████████████████████████████████████--| 7112/7340 [257:50<8:15, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/acf3037a-4b6c-4ea8-b81c-ffc2e76132e1/invoke \"HTTP/1.1 200 OK\"\n", - "Loading checkpoint shards: 0%| | 0/4 [00:00 Settings > General > scroll to the bottom > Config Editor…\n", - "- In the search box, type: applyIncomingFilters\n", - "- If mail.server.default.applyIncomingFilters is false or missing, set it to true.\n", - "- If you prefer per-account control, also set mail.server.serverN.applyIncomingFilters = true for the specific account (N is the server number for that account; you can set both default and per-account if you like).\n", - "\n", - "2) Ensure Thunderbird actually checks those subfolders for new mail\n", - "- For each subfolder you want filters to run on: right‑click the folder > Properties > check “When getting new messages, always check this folder” > OK.\n", - "- Alternatively (account-wide): Account Settings > Server Settings (for the IMAP account) > enable “Check for new messages at startup” and “Check for new messages every X minutes.” In Advanced IMAP settings (or via Config Editor), ensure mail.server.serverN.check_all_folders_for_new = true to have Thunderbird poll all folders.\n", - "\n", - "3) Make sure your filters are set to run on incoming mail\n", - "- Tools (≡ menu) > Message Filters.\n", - "- Choose the account, edit each filter you want, and under “Apply filter when,” tick the “Getting New Mail” options (before/after junk classification as appropriate). Save.\n", - "\n", - "4) Restart Thunderbird\n", - "- Close and reopen Thunderbird so the new prefs apply cleanly.\n", - "\n", - "5) Test\n", - "- Deliver a message directly to a subfolder (e.g., by a server-side rule or by sending to an address that your server routes into that folder). When Thunderbird detects new mail in that subfolder, your filters should run automatically.\n", - "\n", - "Notes and limitations\n", - "- IMAP required: This works when new mail arrives directly into that subfolder on the server (IMAP). For POP accounts and Local Folders, Thunderbird only “receives” mail into Inbox; filters won’t auto-trigger simply because a message...\n", - "INFO:agent.ComputerAgent:Agent: Yes—you can make Thunderbird run filters automatically on subfolders (not just Inbox). Do the following once per account you want this behavior for.\n", - "\n", - "1) Turn on the hidden preference to run filters on non-Inbox folders\n", - "- Thunderbird > Settings > General > scroll to the bottom > Config Editor…\n", - "- In the search box, type: applyIncomingFilters\n", - "- If mail.server.default.applyIncomingFilters is false or missing, set it to true.\n", - "- If you prefer per-account control, also set mail.server.serverN.applyIncomingFilters = true for the specific account (N is the server number for that account; you can set both default and per-account if you like).\n", - "\n", - "2) Ensure Thunderbird actually checks those subfolders for new mail\n", - "- For each subfolder you want filters to run on: right‑click the folder > Properties > check “When getting new messages, always check this folder” > OK.\n", - "- Alternatively (account-wide): Account Settings > Server Settings (for the IMAP account) > enable “Check for new messages at startup” and “Check for new messages every X minutes.” In Advanced IMAP settings (or via Config Editor), ensure mail.server.serverN.check_all_folders_for_new = true to have Thunderbird poll all folders.\n", - "\n", - "3) Make sure your filters are set to run on incoming mail\n", - "- Tools (≡ menu) > Message Filters.\n", - "- Choose the account, edit each filter you want, and under “Apply filter when,” tick the “Getting New Mail” options (before/after junk classification as appropriate). Save.\n", - "\n", - "4) Restart Thunderbird\n", - "- Close and reopen Thunderbird so the new prefs apply cleanly.\n", - "\n", - "5) Test\n", - "- Deliver a message directly to a subfolder (e.g., by a server-side rule or by sending to an address that your server routes into that folder). When Thunderbird detects new mail in that subfolder, your filters should run automatically.\n", - "\n", - "Notes and limitations\n", - "- IMAP required: This works when new mail arrives directly into that subfolder on the server (IMAP). For POP accounts and Local Folders, Thunderbird only “receives” mail into Inbox; filters won’t auto-trigger simply because a message...\n", - "2025-08-11 19:47:20,255 - agent.ComputerAgent - INFO - Total usage:\n", - " - completion_tokens: 3021\n", - " - prompt_tokens: 3980\n", - " - total_tokens: 7001\n", - " - completion_tokens_details:\n", - " - accepted_prediction_tokens: 0\n", - " - audio_tokens: 0\n", - " - reasoning_tokens: 2496\n", - " - rejected_prediction_tokens: 0\n", - " - prompt_tokens_details:\n", - " - audio_tokens: 0\n", - " - cached_tokens: 1920\n", - " - response_cost: $0.0330\n", - "INFO:agent.ComputerAgent:Total usage:\n", - " - completion_tokens: 3021\n", - " - prompt_tokens: 3980\n", - " - total_tokens: 7001\n", - " - completion_tokens_details:\n", - " - accepted_prediction_tokens: 0\n", - " - audio_tokens: 0\n", - " - reasoning_tokens: 2496\n", - " - rejected_prediction_tokens: 0\n", - " - prompt_tokens_details:\n", - " - audio_tokens: 0\n", - " - cached_tokens: 1920\n", - " - response_cost: $0.0330\n", - " 98%|███████████████████████████████████████-| 7212/7340 [261:01<4:37, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:47:20 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:47:20 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:47:21,621 - agent.ComputerAgent - INFO - Computer: type({'text': ' chrome refresh 2023'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': ' chrome refresh 2023'})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/5e73167c-1836-4752-b7e8-57434e5d7875/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:47:22,286 - agent.ComputerAgent - INFO - Computer: click({'x': 239, 'y': 178})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 239, 'y': 178})\n", - "2025-08-11 19:47:22,928 - agent.ComputerAgent - INFO - Computer: click({'x': 980, 'y': 60})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 980, 'y': 60})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/40c5f987-3d81-47fe-8798-4e45d9755f93/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b14fe395-5fa2-43f0-9d0b-23c42f3e9093/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/cb64a220-43d8-4373-bd2a-e73bacb4a122/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/25f45afe-ee57-4629-9991-c515438accab/invoke \"HTTP/1.1 200 OK\"\n", - " 98%|███████████████████████████████████████-| 7213/7340 [261:04<4:35, 27.6 steps/min]2025-08-11 19:47:23,594 - agent.ComputerAgent - INFO - LLM processing started with 42 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 42 messages\n", - "\u001b[92m19:47:23 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:47:24,237 - agent.ComputerAgent - INFO - LLM processing started with 16 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 16 messages\n", - "\u001b[92m19:47:24 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 98%|███████████████████████████████████████-| 7216/7340 [261:06<4:29, 27.6 steps/min]2025-08-11 19:47:24,914 - agent.ComputerAgent - INFO - LLM processing started with 22 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 22 messages\n", - "\u001b[92m19:47:24 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:47:26,264 - agent.ComputerAgent - INFO - Agent: The Impress slide was exported to PNG using the default settings and saved as “res.png” on the Desktop. Task completed.\n", - "INFO:agent.ComputerAgent:Agent: The Impress slide was exported to PNG using the default settings and saved as “res.png” on the Desktop. Task completed.\n", - "2025-08-11 19:47:26,906 - agent.ComputerAgent - INFO - Total usage:\n", - " - completion_tokens: 162\n", - " - prompt_tokens: 8778\n", - " - total_tokens: 8940\n", - " - completion_tokens_details:\n", - " - accepted_prediction_tokens: 0\n", - " - audio_tokens: 0\n", - " - reasoning_tokens: 128\n", - " - rejected_prediction_tokens: 0\n", - " - prompt_tokens_details:\n", - " - audio_tokens: 0\n", - " - cached_tokens: 6656\n", - " - response_cost: $0.0051\n", - "INFO:agent.ComputerAgent:Total usage:\n", - " - completion_tokens: 162\n", - " - prompt_tokens: 8778\n", - " - total_tokens: 8940\n", - " - completion_tokens_details:\n", - " - accepted_prediction_tokens: 0\n", - " - audio_tokens: 0\n", - " - reasoning_tokens: 128\n", - " - rejected_prediction_tokens: 0\n", - " - prompt_tokens_details:\n", - " - audio_tokens: 0\n", - " - cached_tokens: 6656\n", - " - response_cost: $0.0051\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/cd53d966-2507-485c-bbe9-ee55dbbeddd0/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/5e73167c-1836-4752-b7e8-57434e5d7875/close \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/25f45afe-ee57-4629-9991-c515438accab/invoke \"HTTP/1.1 200 OK\"\n", - " 98%|███████████████████████████████████████-| 7217/7340 [261:09<4:27, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/25f45afe-ee57-4629-9991-c515438accab/close \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9882ec8e-4618-4be3-802e-bb5c58c9fbbc/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6f3b006b-141d-439d-b6cb-eed7bd6483c3/invoke \"HTTP/1.1 200 OK\"\n", - " 98%|███████████████████████████████████████-| 7217/7340 [261:10<4:27, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/cd53d966-2507-485c-bbe9-ee55dbbeddd0/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/fa081188-4859-4858-9d33-0f9675111182/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:47:30,124 - agent.ComputerAgent - INFO - LLM processing started with 40 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 40 messages\n", - "\u001b[92m19:47:30 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9053f5ae-149f-4a73-a89e-977f3e750435/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:47:30 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/31367309-0055-409a-a992-edf729fb010c/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 99%|███████████████████████████████████████-| 7233/7340 [261:12<3:51, 27.7 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/cd53d966-2507-485c-bbe9-ee55dbbeddd0/close \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:47:31,452 - agent.ComputerAgent - INFO - LLM processing started with 10 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 10 messages\n", - "\u001b[92m19:47:31 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:47:32,084 - agent.ComputerAgent - INFO - LLM processing started with 42 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 42 messages\n", - "\u001b[92m19:47:32 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m19:47:32 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 99%|███████████████████████████████████████-| 7233/7340 [261:13<3:51, 27.7 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b4eee866-c191-4acf-b232-9b18a3c888ef/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:47:32,764 - agent.ComputerAgent - INFO - Computer: click({'x': 76, 'y': 53})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 76, 'y': 53})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6f3b006b-141d-439d-b6cb-eed7bd6483c3/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:47:33,390 - agent.ComputerAgent - INFO - LLM processing started with 12 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 12 messages\n", - "\u001b[92m19:47:33 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9882ec8e-4618-4be3-802e-bb5c58c9fbbc/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 99%|███████████████████████████████████████-| 7235/7340 [261:15<3:47, 27.7 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/6f3b006b-141d-439d-b6cb-eed7bd6483c3/close \"HTTP/1.1 200 OK\"\n", - " 99%|███████████████████████████████████████-| 7245/7340 [261:16<3:25, 27.7 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9882ec8e-4618-4be3-802e-bb5c58c9fbbc/close \"HTTP/1.1 200 OK\"\n", - " 99%|███████████████████████████████████████-| 7245/7340 [261:17<3:25, 27.7 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:47:36 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:47:36 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 99%|███████████████████████████████████████-| 7245/7340 [261:18<3:25, 27.7 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:47:36 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:47:37,446 - agent.ComputerAgent - INFO - Computer: click({'x': 901, 'y': 579})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 901, 'y': 579})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:47:38 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:47:38 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 99%|███████████████████████████████████████-| 7245/7340 [261:20<3:25, 27.7 steps/min]\u001b[92m19:47:38 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:47:39,450 - agent.ComputerAgent - INFO - Computer: click({'x': 1011, 'y': 194})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 1011, 'y': 194})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m19:47:40 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/26dc2412-0699-4a4e-a272-dc576348a5c8/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 99%|███████████████████████████████████████-| 7246/7340 [261:21<3:23, 27.7 steps/min]\u001b[92m19:47:40 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:47:40,815 - agent.ComputerAgent - INFO - Computer: click({'x': 243, 'y': 52})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 243, 'y': 52})\n", - "\u001b[92m19:47:40 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:47:41,487 - agent.ComputerAgent - INFO - Computer: click({'x': 259, 'y': 178})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 259, 'y': 178})\n", - "\u001b[92m19:47:41 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 99%|███████████████████████████████████████-| 7247/7340 [261:23<3:21, 27.7 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:47:42,158 - agent.ComputerAgent - INFO - Computer: click({'x': 893, 'y': 296})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 893, 'y': 296})\n", - "2025-08-11 19:47:42,787 - agent.ComputerAgent - INFO - LLM processing started with 26 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 26 messages\n", - "\u001b[92m19:47:42 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 99%|███████████████████████████████████████-| 7250/7340 [261:28<3:14, 27.7 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:47:47 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/8e75deb1-3c97-408b-8c7d-f4681b322141/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9053f5ae-149f-4a73-a89e-977f3e750435/invoke \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:47:48,590 - agent.ComputerAgent - INFO - LLM processing started with 12 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 12 messages\n", - "\u001b[92m19:47:48 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m19:47:48 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/ba3f752c-7268-49e8-819c-5b471e52bd54/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/d71be89e-00e2-40e7-8b8d-38e36bc6d26c/invoke \"HTTP/1.1 200 OK\"\n", - " 99%|███████████████████████████████████████-| 7250/7340 [261:30<3:14, 27.7 steps/min]\u001b[92m19:47:48 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:47:49,265 - agent.ComputerAgent - INFO - LLM processing started with 38 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 38 messages\n", - "\u001b[92m19:47:49 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m19:47:49 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b4eee866-c191-4acf-b232-9b18a3c888ef/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 99%|███████████████████████████████████████-| 7250/7340 [261:31<3:14, 27.7 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:47:50,594 - agent.ComputerAgent - INFO - LLM processing started with 14 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 14 messages\n", - "\u001b[92m19:47:50 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m19:47:50 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:47:51,304 - agent.ComputerAgent - INFO - LLM processing started with 20 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 20 messages\n", - "\u001b[92m19:47:51 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:47:51,990 - agent.ComputerAgent - INFO - Computer: drag({'path': [{'x': 275, 'y': 181}, {'x': 79, 'y': 182}]})\n", - "INFO:agent.ComputerAgent:Computer: drag({'path': [{'x': 275, 'y': 181}, {'x': 79, 'y': 182}]})\n", - " 99%|███████████████████████████████████████-| 7250/7340 [261:33<3:14, 27.7 steps/min]\u001b[92m19:47:51 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:47:52,662 - agent.ComputerAgent - INFO - Computer: click({'x': 252, 'y': 230})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 252, 'y': 230})\n", - " 99%|███████████████████████████████████████-| 7252/7340 [261:35<3:10, 27.7 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:47:54 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:47:56,131 - agent.ComputerAgent - INFO - Computer: type({'text': '=A2+B2'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': '=A2+B2'})\n", - " 99%|███████████████████████████████████████-| 7252/7340 [261:37<3:10, 27.7 steps/min]\u001b[92m19:47:56 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:47:56,793 - agent.ComputerAgent - INFO - Computer: click({'x': 563, 'y': 101})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 563, 'y': 101})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:47:58,146 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'alt+left'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'alt+left'})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/cb64a220-43d8-4373-bd2a-e73bacb4a122/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:47:58 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b14fe395-5fa2-43f0-9d0b-23c42f3e9093/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 99%|███████████████████████████████████████-| 7253/7340 [261:40<3:08, 27.7 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/ba3f752c-7268-49e8-819c-5b471e52bd54/invoke \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:47:59,467 - agent.ComputerAgent - INFO - LLM processing started with 18 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 18 messages\n", - "\u001b[92m19:47:59 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:48:00,135 - agent.ComputerAgent - INFO - LLM processing started with 24 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 24 messages\n", - "\u001b[92m19:48:00 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m19:48:00 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 99%|███████████████████████████████████████-| 7254/7340 [261:41<3:06, 27.7 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:48:00,837 - agent.ComputerAgent - INFO - Computer: click({'x': 111, 'y': 52})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 111, 'y': 52})\n", - " 99%|███████████████████████████████████████-| 7254/7340 [261:42<3:06, 27.7 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/ba3f752c-7268-49e8-819c-5b471e52bd54/close \"HTTP/1.1 200 OK\"\n", - " 99%|███████████████████████████████████████-| 7255/7340 [261:44<3:04, 27.7 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:48:03 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 99%|███████████████████████████████████████-| 7255/7340 [261:45<3:04, 27.7 steps/min]\u001b[92m19:48:04 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:48:04,749 - agent.ComputerAgent - INFO - Computer: click({'x': 19, 'y': 45})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 19, 'y': 45})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:48:05 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 99%|███████████████████████████████████████-| 7255/7340 [261:47<3:04, 27.7 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/fa081188-4859-4858-9d33-0f9675111182/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9053f5ae-149f-4a73-a89e-977f3e750435/invoke \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:48:06,105 - agent.ComputerAgent - INFO - LLM processing started with 42 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 42 messages\n", - "\u001b[92m19:48:06 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:48:06,746 - agent.ComputerAgent - INFO - LLM processing started with 14 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 14 messages\n", - "\u001b[92m19:48:06 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 99%|███████████████████████████████████████-| 7256/7340 [261:48<3:01, 27.7 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m19:48:06 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:48:07,447 - agent.ComputerAgent - INFO - Computer: click({'x': 273, 'y': 90})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 273, 'y': 90})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/26dc2412-0699-4a4e-a272-dc576348a5c8/invoke \"HTTP/1.1 200 OK\"\n", - " 99%|███████████████████████████████████████-| 7256/7340 [261:49<3:01, 27.7 steps/min]2025-08-11 19:48:08,626 - agent.ComputerAgent - INFO - LLM processing started with 28 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 28 messages\n", - "\u001b[92m19:48:08 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 99%|███████████████████████████████████████-| 7257/7340 [261:51<2:59, 27.7 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:48:10 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b4eee866-c191-4acf-b232-9b18a3c888ef/invoke \"HTTP/1.1 200 OK\"\n", - " 99%|███████████████████████████████████████-| 7257/7340 [261:52<2:59, 27.7 steps/min]2025-08-11 19:48:11,495 - agent.ComputerAgent - INFO - LLM processing started with 16 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 16 messages\n", - "\u001b[92m19:48:11 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m19:48:11 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:48:11 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 99%|███████████████████████████████████████-| 7257/7340 [261:53<2:59, 27.7 steps/min]\u001b[92m19:48:12 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:48:12,687 - agent.ComputerAgent - INFO - Computer: drag({'path': [{'x': 211, 'y': 178}, {'x': 211, 'y': 473}]})\n", - "INFO:agent.ComputerAgent:Computer: drag({'path': [{'x': 211, 'y': 178}, {'x': 211, 'y': 473}]})\n", - " 99%|███████████████████████████████████████-| 7257/7340 [261:54<2:59, 27.7 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/d71be89e-00e2-40e7-8b8d-38e36bc6d26c/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:48:14,357 - agent.ComputerAgent - INFO - LLM processing started with 22 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 22 messages\n", - "\u001b[92m19:48:14 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 99%|███████████████████████████████████████-| 7258/7340 [261:56<2:57, 27.7 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/40c5f987-3d81-47fe-8798-4e45d9755f93/invoke \"HTTP/1.1 200 OK\"\n", - " 99%|███████████████████████████████████████-| 7263/7340 [261:57<2:46, 27.7 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:48:17,188 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'enter'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'enter'})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:48:17 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/40c5f987-3d81-47fe-8798-4e45d9755f93/close \"HTTP/1.1 200 OK\"\n", - " 99%|███████████████████████████████████████-| 7263/7340 [261:59<2:46, 27.7 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/31367309-0055-409a-a992-edf729fb010c/invoke \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:48:18 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:48:19,057 - agent.ComputerAgent - INFO - Computer: click({'x': 257, 'y': 152})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 257, 'y': 152})\n", - " 99%|███████████████████████████████████████-| 7265/7340 [262:03<2:42, 27.7 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/31367309-0055-409a-a992-edf729fb010c/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9053f5ae-149f-4a73-a89e-977f3e750435/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:48:23,287 - agent.ComputerAgent - INFO - LLM processing started with 16 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 16 messages\n", - "\u001b[92m19:48:23 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m19:48:23 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/31367309-0055-409a-a992-edf729fb010c/close \"HTTP/1.1 200 OK\"\n", - " 99%|███████████████████████████████████████-| 7265/7340 [262:05<2:42, 27.7 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m19:48:24 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b14fe395-5fa2-43f0-9d0b-23c42f3e9093/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:48:25 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/68f513cf-ec21-4216-bab9-84c5bfcfce88/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:48:25 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 99%|███████████████████████████████████████-| 7265/7340 [262:07<2:42, 27.7 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:48:25,935 - agent.ComputerAgent - INFO - Computer: click({'x': 95, 'y': 74})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 95, 'y': 74})\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:48:26,606 - agent.ComputerAgent - INFO - LLM processing started with 20 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 20 messages\n", - "\u001b[92m19:48:26 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 99%|███████████████████████████████████████-| 7266/7340 [262:08<2:40, 27.7 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m19:48:26 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:48:27,282 - agent.ComputerAgent - INFO - Computer: click({'x': 986, 'y': 133})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 986, 'y': 133})\n", - "\u001b[92m19:48:27 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:48:27,901 - agent.ComputerAgent - INFO - Computer: click({'x': 528, 'y': 50})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 528, 'y': 50})\n", - " 99%|███████████████████████████████████████-| 7267/7340 [262:09<2:38, 27.7 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:48:29 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/68f513cf-ec21-4216-bab9-84c5bfcfce88/close \"HTTP/1.1 200 OK\"\n", - " 99%|███████████████████████████████████████-| 7269/7340 [262:10<2:33, 27.7 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m19:48:29 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:48:30,287 - agent.ComputerAgent - INFO - Computer: click({'x': 105, 'y': 230})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 105, 'y': 230})\n", - " 99%|███████████████████████████████████████-| 7270/7340 [262:14<2:31, 27.7 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/8e75deb1-3c97-408b-8c7d-f4681b322141/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:48:33,466 - agent.ComputerAgent - INFO - LLM processing started with 40 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 40 messages\n", - "\u001b[92m19:48:33 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/26dc2412-0699-4a4e-a272-dc576348a5c8/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 99%|███████████████████████████████████████-| 7270/7340 [262:15<2:31, 27.7 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b4eee866-c191-4acf-b232-9b18a3c888ef/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:48:34,163 - agent.ComputerAgent - INFO - LLM processing started with 30 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 30 messages\n", - "\u001b[92m19:48:34 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:48:34,825 - agent.ComputerAgent - INFO - LLM processing started with 18 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 18 messages\n", - "\u001b[92m19:48:34 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 99%|███████████████████████████████████████-| 7270/7340 [262:16<2:31, 27.7 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/cb64a220-43d8-4373-bd2a-e73bacb4a122/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:48:36,005 - agent.ComputerAgent - INFO - LLM processing started with 26 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 26 messages\n", - "\u001b[92m19:48:36 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 99%|███████████████████████████████████████-| 7270/7340 [262:17<2:31, 27.7 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 99%|███████████████████████████████████████-| 7270/7340 [262:21<2:31, 27.7 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:48:40 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 99%|███████████████████████████████████████-| 7270/7340 [262:22<2:31, 27.7 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:48:41 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:48:41 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:48:42 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:48:43,277 - agent.ComputerAgent - INFO - Computer: click({'x': 66, 'y': 164})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 66, 'y': 164})\n", - " 99%|███████████████████████████████████████-| 7270/7340 [262:25<2:31, 27.7 steps/min]\u001b[92m19:48:43 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:48:43 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m19:48:44 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:48:44,471 - agent.ComputerAgent - INFO - Computer: click({'x': 248, 'y': 173})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 248, 'y': 173})\n", - " 99%|███████████████████████████████████████-| 7271/7340 [262:26<2:29, 27.7 steps/min]\u001b[92m19:48:44 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:48:45,143 - agent.ComputerAgent - INFO - Computer: drag({'path': [{'x': 288, 'y': 153}, {'x': 81, 'y': 155}]})\n", - "INFO:agent.ComputerAgent:Computer: drag({'path': [{'x': 288, 'y': 153}, {'x': 81, 'y': 155}]})\n", - " 99%|███████████████████████████████████████-| 7273/7340 [262:29<2:25, 27.7 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/d71be89e-00e2-40e7-8b8d-38e36bc6d26c/invoke \"HTTP/1.1 200 OK\"\n", - " 99%|███████████████████████████████████████-| 7273/7340 [262:30<2:25, 27.7 steps/min]2025-08-11 19:48:49,336 - agent.ComputerAgent - INFO - LLM processing started with 24 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 24 messages\n", - "\u001b[92m19:48:49 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 99%|███████████████████████████████████████-| 7273/7340 [262:31<2:25, 27.7 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9053f5ae-149f-4a73-a89e-977f3e750435/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:48:50,547 - agent.ComputerAgent - INFO - LLM processing started with 18 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 18 messages\n", - "\u001b[92m19:48:50 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:48:51,906 - agent.ComputerAgent - INFO - Computer: type({'text': 'webui refresh 2023'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'webui refresh 2023'})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b14fe395-5fa2-43f0-9d0b-23c42f3e9093/invoke \"HTTP/1.1 200 OK\"\n", - " 99%|███████████████████████████████████████-| 7273/7340 [262:33<2:25, 27.7 steps/min]2025-08-11 19:48:52,576 - agent.ComputerAgent - INFO - LLM processing started with 22 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 22 messages\n", - "\u001b[92m19:48:52 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:48:53,923 - agent.ComputerAgent - INFO - Computer: type({'text': 'Thunderbird'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'Thunderbird'})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - " 99%|███████████████████████████████████████-| 7274/7340 [262:36<2:22, 27.7 steps/min]\u001b[92m19:48:54 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m19:48:55 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:48:56,172 - agent.ComputerAgent - INFO - Computer: double_click({'x': 144, 'y': 167})\n", - "INFO:agent.ComputerAgent:Computer: double_click({'x': 144, 'y': 167})\n", - " 99%|███████████████████████████████████████-| 7276/7340 [262:39<2:18, 27.7 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:48:58 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 99%|███████████████████████████████████████-| 7276/7340 [262:40<2:18, 27.7 steps/min]\u001b[92m19:48:59 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:49:00,051 - agent.ComputerAgent - INFO - Computer: click({'x': 761, 'y': 229})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 761, 'y': 229})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/fa081188-4859-4858-9d33-0f9675111182/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b4eee866-c191-4acf-b232-9b18a3c888ef/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:49:00,717 - agent.ComputerAgent - INFO - LLM processing started with 20 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 20 messages\n", - "\u001b[92m19:49:00 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 99%|███████████████████████████████████████-| 7276/7340 [262:42<2:18, 27.7 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:49:01 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 99%|███████████████████████████████████████-| 7277/7340 [262:43<2:16, 27.7 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m19:49:02 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:49:02 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/26dc2412-0699-4a4e-a272-dc576348a5c8/invoke \"HTTP/1.1 200 OK\"\n", - " 99%|███████████████████████████████████████-| 7277/7340 [262:44<2:16, 27.7 steps/min]2025-08-11 19:49:03,565 - agent.ComputerAgent - INFO - LLM processing started with 32 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 32 messages\n", - "\u001b[92m19:49:03 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m19:49:03 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:49:04,222 - agent.ComputerAgent - INFO - Computer: drag({'path': [{'x': 237, 'y': 178}, {'x': 258, 'y': 280}]})\n", - "INFO:agent.ComputerAgent:Computer: drag({'path': [{'x': 237, 'y': 178}, {'x': 258, 'y': 280}]})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/fa081188-4859-4858-9d33-0f9675111182/invoke \"HTTP/1.1 200 OK\"\n", - " 99%|███████████████████████████████████████-| 7277/7340 [262:45<2:16, 27.7 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/fa081188-4859-4858-9d33-0f9675111182/close \"HTTP/1.1 200 OK\"\n", - " 99%|███████████████████████████████████████-| 7278/7340 [262:46<2:14, 27.7 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/cb64a220-43d8-4373-bd2a-e73bacb4a122/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:49:06,401 - agent.ComputerAgent - INFO - LLM processing started with 28 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 28 messages\n", - "\u001b[92m19:49:06 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 99%|███████████████████████████████████████-| 7278/7340 [262:48<2:14, 27.7 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 99%|███████████████████████████████████████-| 7278/7340 [262:51<2:14, 27.7 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9053f5ae-149f-4a73-a89e-977f3e750435/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:49:10,616 - agent.ComputerAgent - INFO - LLM processing started with 20 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 20 messages\n", - "\u001b[92m19:49:10 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 99%|███████████████████████████████████████-| 7278/7340 [262:52<2:14, 27.7 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 99%|███████████████████████████████████████-| 7278/7340 [262:53<2:14, 27.7 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:49:12 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:49:12 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 99%|███████████████████████████████████████-| 7278/7340 [262:55<2:14, 27.7 steps/min]\u001b[92m19:49:13 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:49:13 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:49:14,305 - agent.ComputerAgent - INFO - Computer: click({'x': 1008, 'y': 223})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 1008, 'y': 223})\n", - "\u001b[92m19:49:14 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:49:14,966 - agent.ComputerAgent - INFO - Computer: click({'x': 75, 'y': 135})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 75, 'y': 135})\n", - " 99%|███████████████████████████████████████-| 7278/7340 [262:56<2:14, 27.7 steps/min]\u001b[92m19:49:15 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:49:15,652 - agent.ComputerAgent - INFO - Computer: double_click({'x': 540, 'y': 128})\n", - "INFO:agent.ComputerAgent:Computer: double_click({'x': 540, 'y': 128})\n", - " 99%|███████████████████████████████████████-| 7281/7340 [262:58<2:07, 27.7 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:49:17 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 99%|███████████████████████████████████████-| 7281/7340 [262:59<2:07, 27.7 steps/min]\u001b[92m19:49:18 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:49:18,506 - agent.ComputerAgent - INFO - Computer: click({'x': 229, 'y': 157})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 229, 'y': 157})\n", - " 99%|███████████████████████████████████████-| 7281/7340 [263:00<2:07, 27.7 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/8e75deb1-3c97-408b-8c7d-f4681b322141/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:49:20,217 - agent.ComputerAgent - INFO - LLM processing started with 42 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 42 messages\n", - "\u001b[92m19:49:20 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 99%|███████████████████████████████████████-| 7282/7340 [263:02<2:05, 27.7 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:49:21 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/d71be89e-00e2-40e7-8b8d-38e36bc6d26c/invoke \"HTTP/1.1 200 OK\"\n", - " 99%|███████████████████████████████████████-| 7282/7340 [263:03<2:05, 27.7 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:49:23,091 - agent.ComputerAgent - INFO - LLM processing started with 26 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 26 messages\n", - "\u001b[92m19:49:23 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m19:49:23 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b4eee866-c191-4acf-b232-9b18a3c888ef/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 99%|███████████████████████████████████████-| 7282/7340 [263:04<2:05, 27.7 steps/min]2025-08-11 19:49:23,787 - agent.ComputerAgent - INFO - Computer: click({'x': 237, 'y': 178})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 237, 'y': 178})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b14fe395-5fa2-43f0-9d0b-23c42f3e9093/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:49:24,438 - agent.ComputerAgent - INFO - LLM processing started with 22 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 22 messages\n", - "\u001b[92m19:49:24 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:49:25,775 - agent.ComputerAgent - INFO - Computer: type({'text': \"=VLOOKUP(C2,'Retail Price'.$A$2:$B$200,2,0)*E2*(1-F2)\"})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': \"=VLOOKUP(C2,'Retail Price'.$A$2:$B$200,2,0)*E2*(1-F2)\"})\n", - " 99%|███████████████████████████████████████-| 7282/7340 [263:07<2:05, 27.7 steps/min]2025-08-11 19:49:26,452 - agent.ComputerAgent - INFO - LLM processing started with 24 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 24 messages\n", - "\u001b[92m19:49:26 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 99%|███████████████████████████████████████-| 7284/7340 [263:12<2:01, 27.7 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9053f5ae-149f-4a73-a89e-977f3e750435/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/cb64a220-43d8-4373-bd2a-e73bacb4a122/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:49:31,690 - agent.ComputerAgent - INFO - LLM processing started with 22 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 22 messages\n", - "\u001b[92m19:49:31 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:49:32 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 99%|███████████████████████████████████████-| 7284/7340 [263:14<2:01, 27.7 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:49:33,032 - agent.ComputerAgent - INFO - LLM processing started with 30 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 30 messages\n", - "\u001b[92m19:49:33 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m19:49:33 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:49:33,738 - agent.ComputerAgent - INFO - Computer: click({'x': 1004, 'y': 60})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 1004, 'y': 60})\n", - " 99%|███████████████████████████████████████-| 7285/7340 [263:16<1:59, 27.7 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:49:35 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 99%|███████████████████████████████████████-| 7285/7340 [263:17<1:59, 27.7 steps/min]\u001b[92m19:49:36 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:49:36,569 - agent.ComputerAgent - INFO - Computer: click({'x': 980, 'y': 60})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 980, 'y': 60})\n", - " 99%|███████████████████████████████████████-| 7286/7340 [263:20<1:57, 27.7 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/26dc2412-0699-4a4e-a272-dc576348a5c8/invoke \"HTTP/1.1 200 OK\"\n", - " 99%|███████████████████████████████████████-| 7286/7340 [263:21<1:57, 27.7 steps/min]2025-08-11 19:49:40,273 - agent.ComputerAgent - INFO - LLM processing started with 34 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 34 messages\n", - "\u001b[92m19:49:40 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 99%|███████████████████████████████████████-| 7286/7340 [263:22<1:57, 27.7 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:49:42,639 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'CTRL+H'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'CTRL+H'})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b4eee866-c191-4acf-b232-9b18a3c888ef/invoke \"HTTP/1.1 200 OK\"\n", - " 99%|███████████████████████████████████████-| 7286/7340 [263:24<1:57, 27.7 steps/min]2025-08-11 19:49:43,312 - agent.ComputerAgent - INFO - LLM processing started with 24 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 24 messages\n", - "\u001b[92m19:49:43 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; 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provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b14fe395-5fa2-43f0-9d0b-23c42f3e9093/invoke \"HTTP/1.1 200 OK\"\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "No screenshot found, taking screenshot\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025-08-11 19:49:53,552 - agent.ComputerAgent - INFO - LLM processing started with 26 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 26 messages\n", - "\u001b[92m19:49:53 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m19:49:53 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:49:54,210 - agent.ComputerAgent - INFO - Computer: click({'x': 867, 'y': 296})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 867, 'y': 296})\n", - " 99%|███████████████████████████████████████-| 7291/7340 [263:35<1:46, 27.7 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9053f5ae-149f-4a73-a89e-977f3e750435/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/cb64a220-43d8-4373-bd2a-e73bacb4a122/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:49:55,903 - agent.ComputerAgent - INFO - LLM processing started with 24 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 24 messages\n", - "\u001b[92m19:49:55 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; 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provider = openai\n", - " 99%|███████████████████████████████████████-| 7292/7340 [263:51<1:44, 27.6 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 99%|███████████████████████████████████████-| 7292/7340 [263:52<1:44, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:50:12 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 99%|███████████████████████████████████████-| 7292/7340 [263:54<1:44, 27.6 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:50:13 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; 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provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 99%|███████████████████████████████████████-| 7292/7340 [263:56<1:44, 27.6 steps/min]\u001b[92m19:50:14 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:50:15,204 - agent.ComputerAgent - INFO - Computer: drag({'path': [{'x': 275, 'y': 152}, {'x': 79, 'y': 154}]})\n", - "INFO:agent.ComputerAgent:Computer: drag({'path': [{'x': 275, 'y': 152}, {'x': 79, 'y': 154}]})\n", - " 99%|███████████████████████████████████████-| 7293/7340 [263:57<1:42, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:50:17,610 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ALT+TAB'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ALT+TAB'})\n", - " 99%|███████████████████████████████████████-| 7294/7340 [263:59<1:39, 27.6 steps/min]2025-08-11 19:50:18,781 - agent.ComputerAgent - INFO - LLM processing started with 36 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 36 messages\n", - "\u001b[92m19:50:18 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 99%|███████████████████████████████████████-| 7294/7340 [264:00<1:39, 27.6 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 99%|███████████████████████████████████████-| 7294/7340 [264:01<1:39, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b4eee866-c191-4acf-b232-9b18a3c888ef/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:50:20 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:50:21,132 - agent.ComputerAgent - INFO - LLM processing started with 28 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 28 messages\n", - "\u001b[92m19:50:21 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b14fe395-5fa2-43f0-9d0b-23c42f3e9093/invoke \"HTTP/1.1 200 OK\"\n", - " 99%|███████████████████████████████████████-| 7294/7340 [264:02<1:39, 27.6 steps/min]2025-08-11 19:50:22,169 - agent.ComputerAgent - INFO - LLM processing started with 28 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 28 messages\n", - "\u001b[92m19:50:22 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 99%|███████████████████████████████████████-| 7294/7340 [264:03<1:39, 27.6 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m19:50:22 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:50:22,830 - agent.ComputerAgent - INFO - Computer: click({'x': 120, 'y': 53})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 120, 'y': 53})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:50:24,191 - agent.ComputerAgent - INFO - Computer: drag({'path': [{'x': 257, 'y': 153}, {'x': 259, 'y': 281}]})\n", - "INFO:agent.ComputerAgent:Computer: drag({'path': [{'x': 257, 'y': 153}, {'x': 259, 'y': 281}]})\n", - " 99%|███████████████████████████████████████-| 7296/7340 [264:08<1:35, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:50:27 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 99%|███████████████████████████████████████-| 7296/7340 [264:09<1:35, 27.6 steps/min]\u001b[92m19:50:28 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:50:29,058 - agent.ComputerAgent - INFO - Computer: click({'x': 749, 'y': 229})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 749, 'y': 229})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/d71be89e-00e2-40e7-8b8d-38e36bc6d26c/invoke \"HTTP/1.1 200 OK\"\n", - " 99%|███████████████████████████████████████-| 7296/7340 [264:10<1:35, 27.6 steps/min]2025-08-11 19:50:29,733 - agent.ComputerAgent - INFO - LLM processing started with 30 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 30 messages\n", - "\u001b[92m19:50:29 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9053f5ae-149f-4a73-a89e-977f3e750435/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:50:30,431 - agent.ComputerAgent - INFO - LLM processing started with 28 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 28 messages\n", - "\u001b[92m19:50:30 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 99%|███████████████████████████████████████-| 7297/7340 [264:12<1:33, 27.6 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 99%|███████████████████████████████████████-| 7297/7340 [264:16<1:33, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:50:35 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/cb64a220-43d8-4373-bd2a-e73bacb4a122/invoke \"HTTP/1.1 200 OK\"\n", - " 99%|███████████████████████████████████████-| 7297/7340 [264:17<1:33, 27.6 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:50:36,275 - agent.ComputerAgent - INFO - LLM processing started with 34 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 34 messages\n", - "\u001b[92m19:50:36 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m19:50:36 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:50:37,340 - agent.ComputerAgent - INFO - Computer: click({'x': 229, 'y': 91})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 229, 'y': 91})\n", - " 99%|███████████████████████████████████████-| 7298/7340 [264:21<1:31, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:50:41,280 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ALT+TAB'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ALT+TAB'})\n", - " 99%|███████████████████████████████████████-| 7298/7340 [264:23<1:31, 27.6 steps/min]2025-08-11 19:50:42,453 - agent.ComputerAgent - INFO - LLM processing started with 38 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 38 messages\n", - "\u001b[92m19:50:42 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 99%|███████████████████████████████████████-| 7298/7340 [264:24<1:31, 27.6 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 99%|███████████████████████████████████████-| 7298/7340 [264:25<1:31, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b4eee866-c191-4acf-b232-9b18a3c888ef/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:50:44,654 - agent.ComputerAgent - INFO - LLM processing started with 30 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 30 messages\n", - "\u001b[92m19:50:44 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 99%|███████████████████████████████████████-| 7298/7340 [264:26<1:31, 27.6 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 99%|███████████████████████████████████████-| 7298/7340 [264:28<1:31, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:50:47 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 99%|███████████████████████████████████████-| 7298/7340 [264:29<1:31, 27.6 steps/min]\u001b[92m19:50:48 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:50:48,511 - agent.ComputerAgent - INFO - Computer: click({'x': 243, 'y': 178})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 243, 'y': 178})\n", - " 99%|███████████████████████████████████████-| 7298/7340 [264:30<1:31, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:50:49 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 99%|███████████████████████████████████████-| 7299/7340 [264:31<1:29, 27.6 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m19:50:50 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:50:50,849 - agent.ComputerAgent - INFO - Computer: click({'x': 138, 'y': 90})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 138, 'y': 90})\n", - " 99%|███████████████████████████████████████-| 7299/7340 [264:32<1:29, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:50:52 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - " 99%|███████████████████████████████████████-| 7300/7340 [264:33<1:26, 27.6 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m19:50:52 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:50:52 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 99%|███████████████████████████████████████-| 7300/7340 [264:34<1:26, 27.6 steps/min]\u001b[92m19:50:53 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:50:53,680 - agent.ComputerAgent - INFO - Computer: drag({'path': [{'x': 749, 'y': 183}, {'x': 837, 'y': 244}]})\n", - "INFO:agent.ComputerAgent:Computer: drag({'path': [{'x': 749, 'y': 183}, {'x': 837, 'y': 244}]})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9053f5ae-149f-4a73-a89e-977f3e750435/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:50:54 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - " 99%|███████████████████████████████████████-| 7300/7340 [264:36<1:26, 27.6 steps/min]\u001b[92m19:50:55 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:50:55,684 - agent.ComputerAgent - INFO - LLM processing started with 30 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 30 messages\n", - "\u001b[92m19:50:55 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m19:50:55 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:50:56,394 - agent.ComputerAgent - INFO - Computer: click({'x': 258, 'y': 155})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 258, 'y': 155})\n", - " 99%|███████████████████████████████████████-| 7301/7340 [264:38<1:24, 27.6 steps/min]\u001b[92m19:50:56 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:50:57,053 - agent.ComputerAgent - INFO - Computer: click({'button': 'right', 'x': 118, 'y': 182})\n", - "INFO:agent.ComputerAgent:Computer: click({'button': 'right', 'x': 118, 'y': 182})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/d71be89e-00e2-40e7-8b8d-38e36bc6d26c/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:50:57,705 - agent.ComputerAgent - INFO - LLM processing started with 32 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 32 messages\n", - "\u001b[92m19:50:57 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 99%|███████████████████████████████████████-| 7302/7340 [264:39<1:22, 27.6 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 99%|███████████████████████████████████████-| 7303/7340 [264:42<1:20, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/cb64a220-43d8-4373-bd2a-e73bacb4a122/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:51:01,944 - agent.ComputerAgent - INFO - LLM processing started with 36 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 36 messages\n", - "\u001b[92m19:51:01 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b14fe395-5fa2-43f0-9d0b-23c42f3e9093/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 99%|███████████████████████████████████████-| 7303/7340 [264:43<1:20, 27.6 steps/min]2025-08-11 19:51:02,644 - agent.ComputerAgent - INFO - LLM processing started with 30 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 30 messages\n", - "\u001b[92m19:51:02 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 99%|███████████████████████████████████████-| 7303/7340 [264:44<1:20, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b4eee866-c191-4acf-b232-9b18a3c888ef/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:51:04,313 - agent.ComputerAgent - INFO - LLM processing started with 32 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 32 messages\n", - "\u001b[92m19:51:04 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - " 99%|███████████████████████████████████████-| 7303/7340 [264:46<1:20, 27.6 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:51:05 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - " 99%|███████████████████████████████████████-| 7303/7340 [264:47<1:20, 27.6 steps/min]\u001b[92m19:51:05 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:51:06,170 - agent.ComputerAgent - INFO - Computer: click({'x': 285, 'y': 98})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 285, 'y': 98})\n", - "100%|███████████████████████████████████████-| 7304/7340 [264:53<1:18, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/26dc2412-0699-4a4e-a272-dc576348a5c8/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:51:12,936 - agent.ComputerAgent - INFO - LLM processing started with 40 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 40 messages\n", - "\u001b[92m19:51:13 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "100%|███████████████████████████████████████-| 7304/7340 [264:54<1:18, 27.6 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "100%|███████████████████████████████████████-| 7304/7340 [264:57<1:18, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:51:16 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m19:51:17 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "100%|███████████████████████████████████████-| 7304/7340 [264:59<1:18, 27.6 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:51:17 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:51:18,032 - agent.ComputerAgent - INFO - Computer: click({'x': 259, 'y': 180})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 259, 'y': 180})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:51:18 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "100%|███████████████████████████████████████-| 7304/7340 [265:00<1:18, 27.6 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:51:18 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:51:18 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m19:51:19 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:51:19,864 - agent.ComputerAgent - INFO - Computer: click({'x': 151, 'y': 232})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 151, 'y': 232})\n", - "100%|███████████████████████████████████████-| 7305/7340 [265:01<1:16, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:51:20 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:51:20 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:51:21,195 - agent.ComputerAgent - INFO - Computer: drag({'path': [{'x': 298, 'y': 152}, {'x': 81, 'y': 155}]})\n", - "INFO:agent.ComputerAgent:Computer: drag({'path': [{'x': 298, 'y': 152}, {'x': 81, 'y': 155}]})\n", - "100%|███████████████████████████████████████-| 7306/7340 [265:02<1:14, 27.6 steps/min]\u001b[92m19:51:21 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:51:21,882 - agent.ComputerAgent - INFO - Computer: click({'x': 59, 'y': 157})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 59, 'y': 157})\n", - "100%|███████████████████████████████████████-| 7307/7340 [265:03<1:11, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9053f5ae-149f-4a73-a89e-977f3e750435/invoke \"HTTP/1.1 200 OK\"\n", - "100%|███████████████████████████████████████-| 7308/7340 [265:04<1:09, 27.6 steps/min]2025-08-11 19:51:23,543 - agent.ComputerAgent - INFO - LLM processing started with 32 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 32 messages\n", - "\u001b[92m19:51:23 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "100%|███████████████████████████████████████-| 7308/7340 [265:06<1:09, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:51:25 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "100%|███████████████████████████████████████-| 7308/7340 [265:07<1:09, 27.6 steps/min]\u001b[92m19:51:26 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:51:26,961 - agent.ComputerAgent - INFO - Computer: click({'x': 762, 'y': 230})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 762, 'y': 230})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b14fe395-5fa2-43f0-9d0b-23c42f3e9093/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:51:27,615 - agent.ComputerAgent - INFO - LLM processing started with 32 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 32 messages\n", - "\u001b[92m19:51:27 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b4eee866-c191-4acf-b232-9b18a3c888ef/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "100%|███████████████████████████████████████-| 7308/7340 [265:09<1:09, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/d71be89e-00e2-40e7-8b8d-38e36bc6d26c/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:51:28,303 - agent.ComputerAgent - INFO - LLM processing started with 34 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 34 messages\n", - "\u001b[92m19:51:28 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "2025-08-11 19:51:28,994 - agent.ComputerAgent - INFO - LLM processing started with 34 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 34 messages\n", - "\u001b[92m19:51:29 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "100%|███████████████████████████████████████-| 7309/7340 [265:15<1:07, 27.6 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/cb64a220-43d8-4373-bd2a-e73bacb4a122/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:51:35,225 - agent.ComputerAgent - INFO - LLM processing started with 38 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 38 messages\n", - "\u001b[92m19:51:35 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "100%|███████████████████████████████████████-| 7309/7340 [265:17<1:07, 27.6 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "100%|███████████████████████████████████████-| 7309/7340 [265:18<1:07, 27.5 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:51:38,065 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'ALT+TAB'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'ALT+TAB'})\n", - "100%|███████████████████████████████████████-| 7309/7340 [265:19<1:07, 27.5 steps/min]2025-08-11 19:51:39,205 - agent.ComputerAgent - INFO - LLM processing started with 42 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 42 messages\n", - "\u001b[92m19:51:39 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; 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provider = huggingface-local\n", - "2025-08-11 19:52:05,539 - agent.ComputerAgent - INFO - Computer: click({'x': 15, 'y': 526})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 15, 'y': 526})\n", - "100%|███████████████████████████████████████-| 7317/7340 [265:47<0:50, 27.5 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/d71be89e-00e2-40e7-8b8d-38e36bc6d26c/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:52:07,328 - agent.ComputerAgent - INFO - Computer: type({'text': 'contacts.csv'})\n", - "INFO:agent.ComputerAgent:Computer: type({'text': 'contacts.csv'})\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - "100%|███████████████████████████████████████-| 7319/7340 [265:49<0:45, 27.5 steps/min]2025-08-11 19:52:07,988 - agent.ComputerAgent - INFO - LLM processing started with 36 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 36 messages\n", - "\u001b[92m19:52:08 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; 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provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9053f5ae-149f-4a73-a89e-977f3e750435/invoke \"HTTP/1.1 200 OK\"\n", - "100%|███████████████████████████████████████-| 7321/7340 [265:58<0:41, 27.5 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:52:18 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9053f5ae-149f-4a73-a89e-977f3e750435/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "100%|███████████████████████████████████████-| 7321/7340 [265:59<0:41, 27.5 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/26dc2412-0699-4a4e-a272-dc576348a5c8/invoke \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:52:18 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:52:18 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/9053f5ae-149f-4a73-a89e-977f3e750435/close \"HTTP/1.1 200 OK\"\n", - "100%|███████████████████████████████████████-| 7325/7340 [266:00<0:32, 27.5 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/26dc2412-0699-4a4e-a272-dc576348a5c8/close \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:52:19 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "\u001b[92m19:52:19 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "100%|███████████████████████████████████████-| 7325/7340 [266:01<0:32, 27.5 steps/min]\u001b[92m19:52:20 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:52:20,887 - agent.ComputerAgent - INFO - Computer: drag({'start_element_description': 'column header A', 'end_element_description': 'column header H', 'x': 90, 'y': 155})\n", - "INFO:agent.ComputerAgent:Computer: drag({'start_element_description': 'column header A', 'end_element_description': 'column header H', 'x': 90, 'y': 155})\n", - "100%|███████████████████████████████████████-| 7326/7340 [266:02<0:30, 27.5 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:52:23,480 - agent.ComputerAgent - INFO - Computer: keypress({'keys': 'enter'})\n", - "INFO:agent.ComputerAgent:Computer: keypress({'keys': 'enter'})\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b14fe395-5fa2-43f0-9d0b-23c42f3e9093/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "100%|███████████████████████████████████████-| 7326/7340 [266:05<0:30, 27.5 steps/min]\u001b[92m19:52:24 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "No screenshot found, taking screenshot\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025-08-11 19:52:24,777 - agent.ComputerAgent - INFO - LLM processing started with 37 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 37 messages\n", - "\u001b[92m19:52:24 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "100%|███████████████████████████████████████-| 7327/7340 [266:06<0:28, 27.5 steps/min]\u001b[92m19:52:25 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:52:26,307 - agent.ComputerAgent - INFO - Computer: click({'x': 828, 'y': 35})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 828, 'y': 35})\n", - "100%|███████████████████████████████████████-| 7328/7340 [266:10<0:26, 27.5 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - "100%|███████████████████████████████████████-| 7329/7340 [266:11<0:23, 27.5 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/cb64a220-43d8-4373-bd2a-e73bacb4a122/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:52:30,881 - agent.ComputerAgent - INFO - LLM processing started with 42 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 42 messages\n", - "\u001b[92m19:52:30 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b14fe395-5fa2-43f0-9d0b-23c42f3e9093/invoke \"HTTP/1.1 200 OK\"\n", - "100%|███████████████████████████████████████-| 7329/7340 [266:12<0:23, 27.5 steps/min]2025-08-11 19:52:31,557 - agent.ComputerAgent - INFO - LLM processing started with 39 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 39 messages\n", - "\u001b[92m19:52:31 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "100%|███████████████████████████████████████-| 7329/7340 [266:13<0:23, 27.5 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b4eee866-c191-4acf-b232-9b18a3c888ef/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:52:32,766 - agent.ComputerAgent - INFO - LLM processing started with 40 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 40 messages\n", - "\u001b[92m19:52:32 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "100%|███████████████████████████████████████-| 7329/7340 [266:19<0:23, 27.5 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - "100%|███████████████████████████████████████-| 7330/7340 [266:20<0:21, 27.5 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:52:40 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b14fe395-5fa2-43f0-9d0b-23c42f3e9093/invoke \"HTTP/1.1 200 OK\"\n", - "100%|███████████████████████████████████████-| 7330/7340 [266:21<0:21, 27.5 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:52:40,663 - agent.ComputerAgent - INFO - LLM processing started with 41 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 41 messages\n", - "\u001b[92m19:52:40 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "\u001b[92m19:52:40 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:52:41,739 - agent.ComputerAgent - INFO - Computer: click({'x': 328, 'y': 286})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 328, 'y': 286})\n", - "100%|███████████████████████████████████████-| 7331/7340 [266:26<0:19, 27.5 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - "100%|███████████████████████████████████████-| 7332/7340 [266:27<0:17, 27.5 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b14fe395-5fa2-43f0-9d0b-23c42f3e9093/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:52:46,968 - agent.ComputerAgent - INFO - LLM processing started with 43 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 43 messages\n", - "\u001b[92m19:52:47 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "100%|███████████████████████████████████████-| 7332/7340 [266:29<0:17, 27.5 steps/min]\u001b[92m19:52:47 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/d71be89e-00e2-40e7-8b8d-38e36bc6d26c/invoke \"HTTP/1.1 200 OK\"\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "2025-08-11 19:52:48,348 - agent.ComputerAgent - INFO - LLM processing started with 38 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 38 messages\n", - "\u001b[92m19:52:48 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; 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provider = huggingface-local\n", - "2025-08-11 19:52:49,902 - agent.ComputerAgent - INFO - Computer: drag({'path': [{'x': 749, 'y': 229}, {'x': 749, 'y': 732}]})\n", - "INFO:agent.ComputerAgent:Computer: drag({'path': [{'x': 749, 'y': 229}, {'x': 749, 'y': 732}]})\n", - "100%|███████████████████████████████████████-| 7332/7340 [266:31<0:17, 27.5 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:52:51 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 400 Bad Request\"\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "100%|███████████████████████████████████████-| 7334/7340 [266:32<0:13, 27.5 steps/min]Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m19:52:51 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:52:52,289 - agent.ComputerAgent - INFO - Computer: click({'x': 17, 'y': 386})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 17, 'y': 386})\n", - "100%|███████████████████████████████████████-| 7334/7340 [266:34<0:13, 27.5 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b14fe395-5fa2-43f0-9d0b-23c42f3e9093/invoke \"HTTP/1.1 200 OK\"\n", - "100%|███████████████████████████████████████-| 7335/7340 [266:37<0:10, 27.5 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/cb64a220-43d8-4373-bd2a-e73bacb4a122/invoke \"HTTP/1.1 200 OK\"\n", - "100%|███████████████████████████████████████-| 7335/7340 [266:38<0:10, 27.5 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b14fe395-5fa2-43f0-9d0b-23c42f3e9093/invoke \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b14fe395-5fa2-43f0-9d0b-23c42f3e9093/close \"HTTP/1.1 200 OK\"\n", - "100%|███████████████████████████████████████-| 7335/7340 [266:39<0:10, 27.5 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b4eee866-c191-4acf-b232-9b18a3c888ef/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:52:58,539 - agent.ComputerAgent - INFO - LLM processing started with 42 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 42 messages\n", - "\u001b[92m19:52:58 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "100%|███████████████████████████████████████-| 7335/7340 [266:40<0:10, 27.5 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/cb64a220-43d8-4373-bd2a-e73bacb4a122/invoke \"HTTP/1.1 200 OK\"\n", - "100%|███████████████████████████████████████-| 7335/7340 [266:41<0:10, 27.5 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/cb64a220-43d8-4373-bd2a-e73bacb4a122/close \"HTTP/1.1 200 OK\"\n", - "100%|███████████████████████████████████████-| 7335/7340 [266:54<0:10, 27.5 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:53:13 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "100%|███████████████████████████████████████-| 7335/7340 [266:55<0:10, 27.5 steps/min]\u001b[92m19:53:14 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:53:14,687 - agent.ComputerAgent - INFO - Computer: click({'x': 318, 'y': 306})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 318, 'y': 306})\n", - "100%|███████████████████████████████████████-| 7336/7340 [266:57<0:08, 27.5 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:53:16 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "100%|███████████████████████████████████████-| 7336/7340 [266:58<0:08, 27.5 steps/min]\u001b[92m19:53:16 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:53:17,018 - agent.ComputerAgent - INFO - Computer: click({'x': 49, 'y': 53})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 49, 'y': 53})\n", - "100%|███████████████████████████████████████-| 7337/7340 [267:01<0:06, 27.5 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/d71be89e-00e2-40e7-8b8d-38e36bc6d26c/invoke \"HTTP/1.1 200 OK\"\n", - "2025-08-11 19:53:20,724 - agent.ComputerAgent - INFO - LLM processing started with 40 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 40 messages\n", - "\u001b[92m19:53:20 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "100%|███████████████████████████████████████-| 7337/7340 [267:02<0:06, 27.5 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "100%|███████████████████████████████████████-| 7337/7340 [267:03<0:06, 27.5 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b4eee866-c191-4acf-b232-9b18a3c888ef/invoke \"HTTP/1.1 200 OK\"\n", - "100%|███████████████████████████████████████-| 7337/7340 [267:23<0:06, 27.4 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:53:42 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "100%|███████████████████████████████████████-| 7337/7340 [267:24<0:06, 27.4 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b4eee866-c191-4acf-b232-9b18a3c888ef/invoke \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:53:43 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:53:43,990 - agent.ComputerAgent - INFO - Computer: click({'x': 432, 'y': 314})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 432, 'y': 314})\n", - "100%|███████████████████████████████████████-| 7337/7340 [267:25<0:06, 27.4 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/b4eee866-c191-4acf-b232-9b18a3c888ef/close \"HTTP/1.1 200 OK\"\n", - "100%|███████████████████████████████████████-| 7338/7340 [267:29<0:04, 27.4 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/d71be89e-00e2-40e7-8b8d-38e36bc6d26c/invoke \"HTTP/1.1 200 OK\"\n", - "100%|███████████████████████████████████████-| 7338/7340 [267:30<0:04, 27.4 steps/min]2025-08-11 19:53:49,710 - agent.ComputerAgent - INFO - LLM processing started with 42 messages\n", - "INFO:agent.ComputerAgent:LLM processing started with 42 messages\n", - "\u001b[92m19:53:49 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= gpt-5; provider = openai\n", - "100%|███████████████████████████████████████-| 7338/7340 [268:00<0:04, 27.4 steps/min]INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n", - "\u001b[92m19:54:20 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "100%|███████████████████████████████████████-| 7338/7340 [268:02<0:04, 27.4 steps/min]INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "Setting `pad_token_id` to `eos_token_id`:151645 for open-end generation.\n", - "\u001b[92m19:54:21 - LiteLLM:INFO\u001b[0m: utils.py:3258 - \n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "INFO:LiteLLM:\n", - "LiteLLM completion() model= HelloKKMe/GTA1-7B; provider = huggingface-local\n", - "2025-08-11 19:54:21,613 - agent.ComputerAgent - INFO - Computer: click({'x': 469, 'y': 487})\n", - "INFO:agent.ComputerAgent:Computer: click({'x': 469, 'y': 487})\n", - "100%|███████████████████████████████████████-| 7339/7340 [268:08<0:02, 27.4 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/d71be89e-00e2-40e7-8b8d-38e36bc6d26c/invoke \"HTTP/1.1 200 OK\"\n", - "100%|███████████████████████████████████████-| 7339/7340 [268:12<0:02, 27.4 steps/min]INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/d71be89e-00e2-40e7-8b8d-38e36bc6d26c/invoke \"HTTP/1.1 200 OK\"\n", - "100%|████████████████████████████████████████| 7340/7340 [268:13<0:00, 27.4 steps/min]\n", - "INFO:httpx:HTTP Request: POST https://orchestration.hud.so/hud-gym/api/v2/environments/d71be89e-00e2-40e7-8b8d-38e36bc6d26c/close \"HTTP/1.1 200 OK\"\n", - "INFO:httpx:HTTP Request: GET https://orchestration.hud.so/hud-gym/api/v2/jobs/a2c1347a-2925-45ed-b86a-6b475b0dc4eb/trajectories \"HTTP/1.1 200 OK\"\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'task_count': 360, 'avg_reward': 0.21677517254432735, 'success_rate': 18.333333333333332}\n", - "View results at: https://app.hud.so/jobs/a2c1347a-2925-45ed-b86a-6b475b0dc4eb\n" - ] - } - ], + "outputs": [], "source": [ - "from agent.integrations.hud import run_job\n", - "from hud import load_taskset\n", - "from hud.taskset import TaskSet\n", - "import logging\n", "import uuid\n", + "from agent.integrations.hud import run_full_dataset\n", "\n", - "# Load taskset\n", - "taskset = await load_taskset(\"OSWorld-Verified\")\n", - "# taskset = TaskSet(tasks=taskset[:20]) # limit to 10 tasks instead of all 370\n", + "# Full dataset evaluation (runs via HUD's run_dataset under the hood)\n", + "job_name = f\"osworld-test-{str(uuid.uuid4())[:4]}\"\n", "\n", - "job_name = \"osworld-gta-gpt5\"\n", - "job_name = f\"{job_name}-{str(uuid.uuid4())[:4]}\"\n", - "\n", - "# Run benchmark job\n", - "job = await run_job(\n", - " # model=\"openai/computer-use-preview\",\n", - " model=\"huggingface-local/HelloKKMe/GTA1-7B+openai/gpt-5\",\n", - " task_or_taskset=taskset,\n", - " job_name=job_name,\n", - " max_concurrent_tasks=20,\n", - " # add any extra ComputerAgent kwargs:\n", - " verbosity=logging.INFO, # Enable logging\n", - " trajectory_dir=f\"trajectories/{job_name}\" # Save trajectories locally\n", + "results = await run_full_dataset(\n", + " dataset=\"hud-evals/OSWorld-Verified-XLang\", # You can also pass a Dataset or a list[dict]\n", + " job_name=job_name, # Optional; defaults to a timestamp for custom datasets\n", + " model=\"openai/computer-use-preview\", # Or any supported model string\n", + " max_concurrent=20, # Tune to your infra\n", + " max_steps=50, # Safety cap per task\n", + " split=\"train[:3]\" # Limit to just 3 tasks\n", ")\n", "\n", - "# Get results OR view them at app.hud.so\n", - "print(await job.get_analytics())\n", - "print(f\"View results at: https://app.hud.so/jobs/{job.id}\")" + "# results is a list from hud.datasets.run_dataset; inspect/aggregate as needed\n", + "print(f\"Job: {job_name}\")\n", + "print(f\"Total results: {len(results)}\")\n", + "pprint(results[:3]) # preview" ] } ], From 3c502354a8e0c0ae9c00b95e9498f7bd3635c36e Mon Sep 17 00:00:00 2001 From: Dillon DuPont Date: Wed, 27 Aug 2025 13:28:24 -0400 Subject: [PATCH 026/103] added simple task id --- notebooks/eval_osworld.ipynb | 19 ++++++------------- 1 file changed, 6 insertions(+), 13 deletions(-) diff --git a/notebooks/eval_osworld.ipynb b/notebooks/eval_osworld.ipynb index beccbb1e..6d521eff 100644 --- a/notebooks/eval_osworld.ipynb +++ b/notebooks/eval_osworld.ipynb @@ -57,17 +57,9 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\Users\\dillo\\miniconda3\\envs\\cua\\Lib\\site-packages\\tqdm\\auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", - " from .autonotebook import tqdm as notebook_tqdm\n" - ] - }, { "name": "stdout", "output_type": "stream", @@ -76,7 +68,7 @@ "\u001b[90m╔═════════════════════════════════════════════════════════════════╗\u001b[0m\n", "\u001b[90m║\u001b[0m 🚀 See your agent live at: \u001b[90m║\u001b[0m\n", "\u001b[90m╟─────────────────────────────────────────────────────────────────╢\u001b[0m\n", - "\u001b[90m║\u001b[0m \u001b[1m\u001b[33mhttps://app.hud.so/trace/60b2956b-8520-4225-93d3-22ea2ff0253b\u001b[0m \u001b[90m║\u001b[0m\n", + "\u001b[90m║\u001b[0m \u001b[1m\u001b[33mhttps://app.hud.so/trace/7fa015b7-75b9-45df-accf-66b1d8895fe9\u001b[0m \u001b[90m║\u001b[0m\n", "\u001b[90m╚═════════════════════════════════════════════════════════════════╝\u001b[0m\n", "\n", "Running: Calculate from the RawData tab the z-scores from the mean close price for each row. Return, starting in ANSWER!A1 and descending to ANSWER!A5, the 5 dates with the greatest absolute value of standard deviations from the mean\n" @@ -86,7 +78,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025-08-27 13:10:52,780 - agent.ComputerAgent - INFO - LLM processing started with 1 messages\n", + "2025-08-27 13:22:49,324 - agent.ComputerAgent - INFO - LLM processing started with 1 messages\n", "Step failed: 'dict' object has no attribute 'id'\n" ] }, @@ -96,7 +88,7 @@ "text": [ "✅ Reward: 0.0\n", "\n", - "\u001b[92m✓ Trace complete!\u001b[0m \u001b[2mView at:\u001b[0m \u001b[1m\u001b[33mhttps://app.hud.so/trace/60b2956b-8520-4225-93d3-22ea2ff0253b\u001b[0m\n", + "\u001b[92m✓ Trace complete!\u001b[0m \u001b[2mView at:\u001b[0m \u001b[1m\u001b[33mhttps://app.hud.so/trace/7fa015b7-75b9-45df-accf-66b1d8895fe9\u001b[0m\n", "\n" ] } @@ -107,8 +99,9 @@ "# Quick single-task smoke test on OSWorld-Verified-XLang\n", "# You can swap \"hud-evals/OSWorld-Verified-XLang\" -> \"hud-evals/SheetBench-V2\" to test SheetBench.\n", "await run_single_task(\n", - " dataset=\"hud-evals/SheetBench-50\",\n", + " dataset=\"hud-evals/OSWorld-Verified-XLang\",\n", " model=\"openai/computer-use-preview\", # or any supported model string\n", + " task_id=155 # open last tab task (easy)\n", ")" ] }, From e8eaf66e2a3442dcf37d438aeeac1d068d970a07 Mon Sep 17 00:00:00 2001 From: Dillon DuPont Date: Wed, 27 Aug 2025 13:38:55 -0400 Subject: [PATCH 027/103] Added latest nb --- .../agent/agent/integrations/hud/agent.py | 10 ++++++++- notebooks/eval_osworld.ipynb | 22 ++++++++++++++----- 2 files changed, 25 insertions(+), 7 deletions(-) diff --git a/libs/python/agent/agent/integrations/hud/agent.py b/libs/python/agent/agent/integrations/hud/agent.py index 4155d736..b30d0b6d 100644 --- a/libs/python/agent/agent/integrations/hud/agent.py +++ b/libs/python/agent/agent/integrations/hud/agent.py @@ -122,9 +122,17 @@ class FakeAsyncOpenAI: prev_blocks = [self.blocks_cache[b_id] for b_id in prev_block_ids] full_input = _to_plain_dict_list(prev_blocks + input) + # Pre-pend instructions message + effective_input = full_input + if instructions: + effective_input = [{ + "role": "user", + "content": instructions, + }] + full_input + # Run a single iteration of the ComputerAgent agent_result: Optional[Dict[str, Any]] = None - async for result in self.agent.run(full_input): # type: ignore[arg-type] + async for result in self.agent.run(effective_input): # type: ignore[arg-type] agent_result = result break assert agent_result is not None, "Agent failed to produce result" diff --git a/notebooks/eval_osworld.ipynb b/notebooks/eval_osworld.ipynb index 6d521eff..afbb1716 100644 --- a/notebooks/eval_osworld.ipynb +++ b/notebooks/eval_osworld.ipynb @@ -57,9 +57,17 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\Users\\dillo\\miniconda3\\envs\\cua\\Lib\\site-packages\\tqdm\\auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + }, { "name": "stdout", "output_type": "stream", @@ -68,18 +76,20 @@ "\u001b[90m╔═════════════════════════════════════════════════════════════════╗\u001b[0m\n", "\u001b[90m║\u001b[0m 🚀 See your agent live at: \u001b[90m║\u001b[0m\n", "\u001b[90m╟─────────────────────────────────────────────────────────────────╢\u001b[0m\n", - "\u001b[90m║\u001b[0m \u001b[1m\u001b[33mhttps://app.hud.so/trace/7fa015b7-75b9-45df-accf-66b1d8895fe9\u001b[0m \u001b[90m║\u001b[0m\n", + "\u001b[90m║\u001b[0m \u001b[1m\u001b[33mhttps://app.hud.so/trace/426ed182-564d-4b12-b950-c551caeeb8a8\u001b[0m \u001b[90m║\u001b[0m\n", "\u001b[90m╚═════════════════════════════════════════════════════════════════╝\u001b[0m\n", "\n", - "Running: Calculate from the RawData tab the z-scores from the mean close price for each row. Return, starting in ANSWER!A1 and descending to ANSWER!A5, the 5 dates with the greatest absolute value of standard deviations from the mean\n" + "Running: Can you make my computer bring back the last tab I shut down?\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "2025-08-27 13:22:49,324 - agent.ComputerAgent - INFO - LLM processing started with 1 messages\n", - "Step failed: 'dict' object has no attribute 'id'\n" + "2025-08-27 13:36:03,660 - agent.ComputerAgent - INFO - LLM processing started with 2 messages\n", + "2025-08-27 13:36:21,971 - agent.ComputerAgent - INFO - LLM processing started with 6 messages\n", + "Tool execution failed: Tool evaluate has an output schema but did not return structured content\n", + "Evaluation phase failed: [MCPToolResult(meta=None, content=[TextContent(type='text', text='Tool evaluate has an output schema but did not return structured content', annotations=None, meta=None)], structuredContent=None, isError=True)]\n" ] }, { @@ -88,7 +98,7 @@ "text": [ "✅ Reward: 0.0\n", "\n", - "\u001b[92m✓ Trace complete!\u001b[0m \u001b[2mView at:\u001b[0m \u001b[1m\u001b[33mhttps://app.hud.so/trace/7fa015b7-75b9-45df-accf-66b1d8895fe9\u001b[0m\n", + "\u001b[92m✓ Trace complete!\u001b[0m \u001b[2mView at:\u001b[0m \u001b[1m\u001b[33mhttps://app.hud.so/trace/426ed182-564d-4b12-b950-c551caeeb8a8\u001b[0m\n", "\n" ] } From bf34ee75b9d1b5adea5c88c2f25376ccc3e3c7fa Mon Sep 17 00:00:00 2001 From: Dillon DuPont Date: Wed, 27 Aug 2025 13:47:02 -0400 Subject: [PATCH 028/103] Removed invalid tag --- libs/kasm/Dockerfile | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/libs/kasm/Dockerfile b/libs/kasm/Dockerfile index b8cf9976..c3a4c795 100644 --- a/libs/kasm/Dockerfile +++ b/libs/kasm/Dockerfile @@ -1,4 +1,4 @@ -FROM --platform=linux/amd64 kasmweb/core-ubuntu-jammy:1.17.0 +FROM kasmweb/core-ubuntu-jammy:1.17.0 USER root ENV HOME=/home/kasm-default-profile From a34d541b92874b2179f188d9809c1a48f298f4db Mon Sep 17 00:00:00 2001 From: Dillon DuPont Date: Wed, 27 Aug 2025 15:16:52 -0400 Subject: [PATCH 029/103] fixed crash with composed loop --- libs/python/agent/agent/integrations/hud/agent.py | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/libs/python/agent/agent/integrations/hud/agent.py b/libs/python/agent/agent/integrations/hud/agent.py index b30d0b6d..8e0ca0e9 100644 --- a/libs/python/agent/agent/integrations/hud/agent.py +++ b/libs/python/agent/agent/integrations/hud/agent.py @@ -45,6 +45,8 @@ def _map_agent_output_to_openai_blocks(output_items: List[Dict[str, Any]]) -> Li "status": "completed", }) blocks.append(comp) + # we will exit early here as the responses api only supports a single step + break elif t == "message" and item.get("role") == "assistant": content_blocks: List[ResponseOutputText] = [] for c in item.get("content", []) or []: @@ -161,9 +163,9 @@ class FakeAsyncOpenAI: "tools": [], "previous_response_id": previous_response_id, "usage": ResponseUsage.model_validate({ - "input_tokens": usage["input_tokens"], - "output_tokens": usage["output_tokens"], - "total_tokens": usage["total_tokens"], + "input_tokens": usage.get("input_tokens", 0), + "output_tokens": usage.get("output_tokens", 0), + "total_tokens": usage.get("total_tokens", 0), "input_tokens_details": usage.get("input_tokens_details", { "cached_tokens": 0 }), "output_tokens_details": usage.get("output_tokens_details", { "reasoning_tokens": 0 }), }), From 1634abe3d0b7cbaa4b9e32ea781c61c0e4620af8 Mon Sep 17 00:00:00 2001 From: Dillon DuPont Date: Wed, 27 Aug 2025 16:06:25 -0400 Subject: [PATCH 030/103] Added validation level retry logic --- .../agent/agent/integrations/hud/agent.py | 105 +++++++++--------- .../agent/agent/loops/composed_grounded.py | 5 +- 2 files changed, 58 insertions(+), 52 deletions(-) diff --git a/libs/python/agent/agent/integrations/hud/agent.py b/libs/python/agent/agent/integrations/hud/agent.py index 8e0ca0e9..5c89c7fa 100644 --- a/libs/python/agent/agent/integrations/hud/agent.py +++ b/libs/python/agent/agent/integrations/hud/agent.py @@ -114,66 +114,69 @@ class FakeAsyncOpenAI: tools: Optional[List[Dict[str, Any]]] = None, instructions: Optional[str] = None, previous_response_id: Optional[str] = None, + max_retries: int = 5, **_: Any, ) -> Any: - try: - # Prepend cached blocks from previous_response_id to input - full_input = input - if previous_response_id is not None: - prev_block_ids = self.context_cache[previous_response_id] + for attempt in range(max_retries): + try: + # Prepend cached blocks from previous_response_id to input + full_input = input + if previous_response_id is not None: + prev_block_ids = self.context_cache[previous_response_id] prev_blocks = [self.blocks_cache[b_id] for b_id in prev_block_ids] full_input = _to_plain_dict_list(prev_blocks + input) - # Pre-pend instructions message - effective_input = full_input - if instructions: - effective_input = [{ - "role": "user", - "content": instructions, - }] + full_input + # Pre-pend instructions message + effective_input = full_input + if instructions: + effective_input = [{ + "role": "user", + "content": instructions, + }] + full_input - # Run a single iteration of the ComputerAgent - agent_result: Optional[Dict[str, Any]] = None - async for result in self.agent.run(effective_input): # type: ignore[arg-type] - agent_result = result - break - assert agent_result is not None, "Agent failed to produce result" + # Run a single iteration of the ComputerAgent + agent_result: Optional[Dict[str, Any]] = None + async for result in self.agent.run(effective_input): # type: ignore[arg-type] + agent_result = result + break + assert agent_result is not None, "Agent failed to produce result" - output = _map_agent_output_to_openai_blocks(agent_result["output"]) - usage = agent_result["usage"] + output = _map_agent_output_to_openai_blocks(agent_result["output"]) + usage = agent_result["usage"] - # Cache conversation context using the last response id - block_ids: List[str] = [] - blocks_to_cache = full_input + output - for b in blocks_to_cache: - bid = getattr(b, "id", None) or f"tmp-{hash(repr(b))}" - self.blocks_cache[bid] = b # type: ignore[assignment] - block_ids.append(bid) - response_id = agent_result.get("id") or f"fake-{int(time.time()*1000)}" - self.context_cache[response_id] = block_ids + # Cache conversation context using the last response id + block_ids: List[str] = [] + blocks_to_cache = full_input + output + for b in blocks_to_cache: + bid = getattr(b, "id", None) or f"tmp-{hash(repr(b))}" + self.blocks_cache[bid] = b # type: ignore[assignment] + block_ids.append(bid) + response_id = agent_result.get("id") or f"fake-{int(time.time()*1000)}" + self.context_cache[response_id] = block_ids - return Response.model_validate({ - "id": response_id, - "created_at": time.time(), - "object": "response", - "model": model, - "output": output, - "parallel_tool_calls": False, - "tool_choice": "auto", - "tools": [], - "previous_response_id": previous_response_id, - "usage": ResponseUsage.model_validate({ - "input_tokens": usage.get("input_tokens", 0), - "output_tokens": usage.get("output_tokens", 0), - "total_tokens": usage.get("total_tokens", 0), - "input_tokens_details": usage.get("input_tokens_details", { "cached_tokens": 0 }), - "output_tokens_details": usage.get("output_tokens_details", { "reasoning_tokens": 0 }), - }), - }) - except Exception as e: - print("Error while running agent: ", e) - print(traceback.format_exc()) - raise e + return Response.model_validate({ + "id": response_id, + "created_at": time.time(), + "object": "response", + "model": model, + "output": output, + "parallel_tool_calls": False, + "tool_choice": "auto", + "tools": [], + "previous_response_id": previous_response_id, + "usage": ResponseUsage.model_validate({ + "input_tokens": usage.get("input_tokens", 0), + "output_tokens": usage.get("output_tokens", 0), + "total_tokens": usage.get("total_tokens", 0), + "input_tokens_details": usage.get("input_tokens_details", { "cached_tokens": 0 }), + "output_tokens_details": usage.get("output_tokens_details", { "reasoning_tokens": 0 }), + }), + }) + except Exception as e: + print(f"Error while running agent (attempt {attempt + 1}/{max_retries}): ", e) + print(traceback.format_exc()) + if attempt == max_retries - 1: + raise e __all__ = [ "FakeAsyncOpenAI", diff --git a/libs/python/agent/agent/loops/composed_grounded.py b/libs/python/agent/agent/loops/composed_grounded.py index cf029d13..369ef9a5 100644 --- a/libs/python/agent/agent/loops/composed_grounded.py +++ b/libs/python/agent/agent/loops/composed_grounded.py @@ -67,7 +67,10 @@ GROUNDED_COMPUTER_TOOL_SCHEMA = { "description": "The text to type (required for type action)" }, "keys": { - "type": "string", + "type": "array", + "items": { + "type": "string" + }, "description": "Key combination to press (required for keypress action). Single key for individual key press, multiple keys for combinations (e.g., 'ctrl+c')" }, "button": { From fad149d6b9caf9c4233e0a35a7172e3c72914fcc Mon Sep 17 00:00:00 2001 From: Dillon DuPont Date: Wed, 27 Aug 2025 16:09:33 -0400 Subject: [PATCH 031/103] Simplified composed grounded prompt --- .../agent/agent/loops/composed_grounded.py | 19 +++++++++++++------ 1 file changed, 13 insertions(+), 6 deletions(-) diff --git a/libs/python/agent/agent/loops/composed_grounded.py b/libs/python/agent/agent/loops/composed_grounded.py index 369ef9a5..3ff83020 100644 --- a/libs/python/agent/agent/loops/composed_grounded.py +++ b/libs/python/agent/agent/loops/composed_grounded.py @@ -48,11 +48,11 @@ GROUNDED_COMPUTER_TOOL_SCHEMA = { "get_dimensions", "get_environment" ], - "description": "The action to perform" + "description": "The action to perform (required for all actions)" }, "element_description": { "type": "string", - "description": "Description of the element to interact with (required for click, double_click, move, scroll actions, and as start/end for drag)" + "description": "Description of the element to interact with (required for click, double_click, move, scroll actions)" }, "start_element_description": { "type": "string", @@ -71,19 +71,26 @@ GROUNDED_COMPUTER_TOOL_SCHEMA = { "items": { "type": "string" }, - "description": "Key combination to press (required for keypress action). Single key for individual key press, multiple keys for combinations (e.g., 'ctrl+c')" + "description": "Key(s) to press (required for keypress action)" }, "button": { "type": "string", - "description": "The mouse button to use for click action (left, right, wheel, back, forward) Default: left", + "enum": [ + "left", + "right", + "wheel", + "back", + "forward" + ], + "description": "The mouse button to use for click action (default: left)", }, "scroll_x": { "type": "integer", - "description": "Horizontal scroll amount for scroll action (positive for right, negative for left)", + "description": "Horizontal scroll amount for scroll action (required for scroll action)", }, "scroll_y": { "type": "integer", - "description": "Vertical scroll amount for scroll action (positive for down, negative for up)", + "description": "Vertical scroll amount for scroll action (required for scroll action)", }, }, "required": [ From 8de5d3d3a71d47714d708988d8158aff6e4455fe Mon Sep 17 00:00:00 2001 From: Dillon DuPont Date: Wed, 27 Aug 2025 16:10:38 -0400 Subject: [PATCH 032/103] Moved try/catch block --- .../agent/agent/integrations/hud/agent.py | 74 +++++++++---------- 1 file changed, 37 insertions(+), 37 deletions(-) diff --git a/libs/python/agent/agent/integrations/hud/agent.py b/libs/python/agent/agent/integrations/hud/agent.py index 5c89c7fa..532c9c7d 100644 --- a/libs/python/agent/agent/integrations/hud/agent.py +++ b/libs/python/agent/agent/integrations/hud/agent.py @@ -118,42 +118,42 @@ class FakeAsyncOpenAI: **_: Any, ) -> Any: for attempt in range(max_retries): + # Prepend cached blocks from previous_response_id to input + full_input = input + if previous_response_id is not None: + prev_block_ids = self.context_cache[previous_response_id] + prev_blocks = [self.blocks_cache[b_id] for b_id in prev_block_ids] + full_input = _to_plain_dict_list(prev_blocks + input) + + # Pre-pend instructions message + effective_input = full_input + if instructions: + effective_input = [{ + "role": "user", + "content": instructions, + }] + full_input + + # Run a single iteration of the ComputerAgent + agent_result: Optional[Dict[str, Any]] = None + async for result in self.agent.run(effective_input): # type: ignore[arg-type] + agent_result = result + break + assert agent_result is not None, "Agent failed to produce result" + + output = _map_agent_output_to_openai_blocks(agent_result["output"]) + usage = agent_result["usage"] + + # Cache conversation context using the last response id + block_ids: List[str] = [] + blocks_to_cache = full_input + output + for b in blocks_to_cache: + bid = getattr(b, "id", None) or f"tmp-{hash(repr(b))}" + self.blocks_cache[bid] = b # type: ignore[assignment] + block_ids.append(bid) + response_id = agent_result.get("id") or f"fake-{int(time.time()*1000)}" + self.context_cache[response_id] = block_ids + try: - # Prepend cached blocks from previous_response_id to input - full_input = input - if previous_response_id is not None: - prev_block_ids = self.context_cache[previous_response_id] - prev_blocks = [self.blocks_cache[b_id] for b_id in prev_block_ids] - full_input = _to_plain_dict_list(prev_blocks + input) - - # Pre-pend instructions message - effective_input = full_input - if instructions: - effective_input = [{ - "role": "user", - "content": instructions, - }] + full_input - - # Run a single iteration of the ComputerAgent - agent_result: Optional[Dict[str, Any]] = None - async for result in self.agent.run(effective_input): # type: ignore[arg-type] - agent_result = result - break - assert agent_result is not None, "Agent failed to produce result" - - output = _map_agent_output_to_openai_blocks(agent_result["output"]) - usage = agent_result["usage"] - - # Cache conversation context using the last response id - block_ids: List[str] = [] - blocks_to_cache = full_input + output - for b in blocks_to_cache: - bid = getattr(b, "id", None) or f"tmp-{hash(repr(b))}" - self.blocks_cache[bid] = b # type: ignore[assignment] - block_ids.append(bid) - response_id = agent_result.get("id") or f"fake-{int(time.time()*1000)}" - self.context_cache[response_id] = block_ids - return Response.model_validate({ "id": response_id, "created_at": time.time(), @@ -173,9 +173,9 @@ class FakeAsyncOpenAI: }), }) except Exception as e: - print(f"Error while running agent (attempt {attempt + 1}/{max_retries}): ", e) - print(traceback.format_exc()) + print(f"Error while validating agent response (attempt {attempt + 1}/{max_retries}): ", e) if attempt == max_retries - 1: + print(traceback.format_exc()) raise e __all__ = [ From f14e9288ac066d04ee3be40c16643ede16ec41f7 Mon Sep 17 00:00:00 2001 From: Dillon DuPont Date: Wed, 27 Aug 2025 16:14:53 -0400 Subject: [PATCH 033/103] Broken indent --- libs/python/agent/agent/integrations/hud/agent.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/libs/python/agent/agent/integrations/hud/agent.py b/libs/python/agent/agent/integrations/hud/agent.py index 532c9c7d..a88fc63e 100644 --- a/libs/python/agent/agent/integrations/hud/agent.py +++ b/libs/python/agent/agent/integrations/hud/agent.py @@ -122,8 +122,8 @@ class FakeAsyncOpenAI: full_input = input if previous_response_id is not None: prev_block_ids = self.context_cache[previous_response_id] - prev_blocks = [self.blocks_cache[b_id] for b_id in prev_block_ids] - full_input = _to_plain_dict_list(prev_blocks + input) + prev_blocks = [self.blocks_cache[b_id] for b_id in prev_block_ids] + full_input = _to_plain_dict_list(prev_blocks + input) # Pre-pend instructions message effective_input = full_input From 0d3f8ea3ffde63da2fb69bc5c90afb064e12f98a Mon Sep 17 00:00:00 2001 From: Dillon DuPont Date: Wed, 27 Aug 2025 16:48:57 -0400 Subject: [PATCH 034/103] Improved trajectory saving --- .../agent/agent/callbacks/trajectory_saver.py | 6 +- .../agent/agent/integrations/hud/__init__.py | 7 ++- notebooks/eval_osworld.ipynb | 59 +++++++++++++++++-- 3 files changed, 63 insertions(+), 9 deletions(-) diff --git a/libs/python/agent/agent/callbacks/trajectory_saver.py b/libs/python/agent/agent/callbacks/trajectory_saver.py index 805b535d..53e4c189 100644 --- a/libs/python/agent/agent/callbacks/trajectory_saver.py +++ b/libs/python/agent/agent/callbacks/trajectory_saver.py @@ -94,6 +94,10 @@ class TrajectorySaverCallback(AsyncCallbackHandler): # format: turn_000/0000_name.json artifact_filename = f"{self.current_artifact:04d}_{name}" artifact_path = turn_dir / f"{artifact_filename}.json" + # add created_at + if isinstance(artifact, dict): + artifact = artifact.copy() + artifact["created_at"] = str(uuid.uuid1().time) with open(artifact_path, "w") as f: json.dump(sanitize_image_urls(artifact), f, indent=2) self.current_artifact += 1 @@ -171,7 +175,7 @@ class TrajectorySaverCallback(AsyncCallbackHandler): "status": "completed", "completed_at": str(uuid.uuid1().time), "total_usage": self.total_usage, - "new_items": sanitize_image_urls(new_items), + "new_items": new_items, "total_turns": self.current_turn }) diff --git a/libs/python/agent/agent/integrations/hud/__init__.py b/libs/python/agent/agent/integrations/hud/__init__.py index d7fc3a20..64c91fb6 100644 --- a/libs/python/agent/agent/integrations/hud/__init__.py +++ b/libs/python/agent/agent/integrations/hud/__init__.py @@ -41,6 +41,7 @@ class ProxyOperatorAgent(OperatorAgent): *, model: str | None = None, allowed_tools: list[str] | None = None, + trajectory_dir: str | None = None, **kwargs: Any, ) -> None: model = model or "computer-use-preview" @@ -54,8 +55,7 @@ class ProxyOperatorAgent(OperatorAgent): computer_agent = BaseComputerAgent( model=model, tools=[computer_shim], - verbosity=20, - trajectory_dir='trajectories' + trajectory_dir=trajectory_dir ) model_client = FakeAsyncOpenAI(computer_agent) @@ -115,6 +115,7 @@ async def run_full_dataset( max_concurrent: int = 30, max_steps: int = 50, split: str = "train", + trajectory_dir: str | None = None, ) -> list[Any]: """Run evaluation across the entire dataset using hud.datasets.run_dataset.""" @@ -134,7 +135,7 @@ async def run_full_dataset( name=job_name, dataset=dataset, agent_class=ProxyOperatorAgent, - agent_config={"model": model, "allowed_tools": allowed_tools}, + agent_config={"model": model, "allowed_tools": allowed_tools, "trajectory_dir": trajectory_dir}, max_concurrent=max_concurrent, metadata={"dataset": dataset_name}, max_steps=max_steps, diff --git a/notebooks/eval_osworld.ipynb b/notebooks/eval_osworld.ipynb index afbb1716..adb5d22b 100644 --- a/notebooks/eval_osworld.ipynb +++ b/notebooks/eval_osworld.ipynb @@ -76,7 +76,7 @@ "\u001b[90m╔═════════════════════════════════════════════════════════════════╗\u001b[0m\n", "\u001b[90m║\u001b[0m 🚀 See your agent live at: \u001b[90m║\u001b[0m\n", "\u001b[90m╟─────────────────────────────────────────────────────────────────╢\u001b[0m\n", - "\u001b[90m║\u001b[0m \u001b[1m\u001b[33mhttps://app.hud.so/trace/426ed182-564d-4b12-b950-c551caeeb8a8\u001b[0m \u001b[90m║\u001b[0m\n", + "\u001b[90m║\u001b[0m \u001b[1m\u001b[33mhttps://app.hud.so/trace/cbe6f71b-f520-4630-9f27-778647070327\u001b[0m \u001b[90m║\u001b[0m\n", "\u001b[90m╚═════════════════════════════════════════════════════════════════╝\u001b[0m\n", "\n", "Running: Can you make my computer bring back the last tab I shut down?\n" @@ -86,8 +86,15 @@ "name": "stderr", "output_type": "stream", "text": [ - "2025-08-27 13:36:03,660 - agent.ComputerAgent - INFO - LLM processing started with 2 messages\n", - "2025-08-27 13:36:21,971 - agent.ComputerAgent - INFO - LLM processing started with 6 messages\n", + "2025-08-27 16:17:53,047 - agent.ComputerAgent - INFO - LLM processing started with 2 messages\n", + "2025-08-27 16:18:02,697 - agent.ComputerAgent - INFO - LLM processing started with 5 messages\n", + "2025-08-27 16:18:15,887 - agent.ComputerAgent - INFO - LLM processing started with 7 messages\n", + "2025-08-27 16:18:28,541 - agent.ComputerAgent - INFO - LLM processing started with 9 messages\n", + "2025-08-27 16:18:42,176 - agent.ComputerAgent - INFO - LLM processing started with 11 messages\n", + "2025-08-27 16:18:55,937 - agent.ComputerAgent - INFO - LLM processing started with 13 messages\n", + "2025-08-27 16:19:11,654 - agent.ComputerAgent - INFO - LLM processing started with 15 messages\n", + "2025-08-27 16:19:23,839 - agent.ComputerAgent - INFO - LLM processing started with 17 messages\n", + "2025-08-27 16:19:39,065 - agent.ComputerAgent - INFO - LLM processing started with 19 messages\n", "Tool execution failed: Tool evaluate has an output schema but did not return structured content\n", "Evaluation phase failed: [MCPToolResult(meta=None, content=[TextContent(type='text', text='Tool evaluate has an output schema but did not return structured content', annotations=None, meta=None)], structuredContent=None, isError=True)]\n" ] @@ -98,7 +105,7 @@ "text": [ "✅ Reward: 0.0\n", "\n", - "\u001b[92m✓ Trace complete!\u001b[0m \u001b[2mView at:\u001b[0m \u001b[1m\u001b[33mhttps://app.hud.so/trace/426ed182-564d-4b12-b950-c551caeeb8a8\u001b[0m\n", + "\u001b[92m✓ Trace complete!\u001b[0m \u001b[2mView at:\u001b[0m \u001b[1m\u001b[33mhttps://app.hud.so/trace/cbe6f71b-f520-4630-9f27-778647070327\u001b[0m\n", "\n" ] } @@ -110,7 +117,7 @@ "# You can swap \"hud-evals/OSWorld-Verified-XLang\" -> \"hud-evals/SheetBench-V2\" to test SheetBench.\n", "await run_single_task(\n", " dataset=\"hud-evals/OSWorld-Verified-XLang\",\n", - " model=\"openai/computer-use-preview\", # or any supported model string\n", + " model=\"openai/computer-use-preview+openai/gpt-5-nano\", # or any supported model string\n", " task_id=155 # open last tab task (easy)\n", ")" ] @@ -148,6 +155,48 @@ "print(f\"Total results: {len(results)}\")\n", "pprint(results[:3]) # preview" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Benchmark Composed Agents" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import uuid\n", + "from agent.integrations.hud import run_full_dataset\n", + "\n", + "models_to_test = [\n", + " \"openai/computer-use-preview+anthropic/claude-opus-4-1-20250805\",\n", + " \"anthropic/claude-opus-4-1-20250805+openai/computer-use-preview\",\n", + "]\n", + "\n", + "\n", + "for model in models_to_test:\n", + " # Full dataset evaluation (runs via HUD's run_dataset under the hood)\n", + " job_uuid = str(uuid.uuid4())[:6]\n", + " job_name = f\"osworld {job_uuid} {model}\"\n", + "\n", + " results = await run_full_dataset(\n", + " dataset=\"hud-evals/OSWorld-Verified-XLang\",\n", + " job_name=job_name, \n", + " model=model,\n", + " max_concurrent=20, \n", + " max_steps=75,\n", + " trajectory_dir=f\"trajectories/osworld_{job_uuid}\"\n", + " )\n", + "\n", + " # results is a list from hud.datasets.run_dataset; inspect/aggregate as needed\n", + " print(f\"Job: {job_name}\")\n", + " print(f\"Total results: {len(results)}\")\n", + " pprint(results[:3]) # preview" + ] } ], "metadata": { From 24b298658527aaea207da19738d0af7bf74fd32b Mon Sep 17 00:00:00 2001 From: Dillon DuPont Date: Wed, 27 Aug 2025 17:10:56 -0400 Subject: [PATCH 035/103] Made button required --- libs/python/agent/agent/loops/composed_grounded.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/libs/python/agent/agent/loops/composed_grounded.py b/libs/python/agent/agent/loops/composed_grounded.py index 3ff83020..7f9843dd 100644 --- a/libs/python/agent/agent/loops/composed_grounded.py +++ b/libs/python/agent/agent/loops/composed_grounded.py @@ -82,7 +82,7 @@ GROUNDED_COMPUTER_TOOL_SCHEMA = { "back", "forward" ], - "description": "The mouse button to use for click action (default: left)", + "description": "The mouse button to use for click action (required for click action)", }, "scroll_x": { "type": "integer", From 3c1efc8632d8cf43e732525fa391e3a415eb186d Mon Sep 17 00:00:00 2001 From: Dillon DuPont Date: Wed, 27 Aug 2025 17:29:29 -0400 Subject: [PATCH 036/103] improved openai's predict_click prompt --- .../agent/agent/loops/composed_grounded.py | 2 +- libs/python/agent/agent/loops/openai.py | 22 +++++++++++++------ 2 files changed, 16 insertions(+), 8 deletions(-) diff --git a/libs/python/agent/agent/loops/composed_grounded.py b/libs/python/agent/agent/loops/composed_grounded.py index 7f9843dd..a5de9895 100644 --- a/libs/python/agent/agent/loops/composed_grounded.py +++ b/libs/python/agent/agent/loops/composed_grounded.py @@ -82,7 +82,7 @@ GROUNDED_COMPUTER_TOOL_SCHEMA = { "back", "forward" ], - "description": "The mouse button to use for click action (required for click action)", + "description": "The mouse button to use for click action (required for click and double_click action)", }, "scroll_x": { "type": "integer", diff --git a/libs/python/agent/agent/loops/openai.py b/libs/python/agent/agent/loops/openai.py index bb6a13a6..4fa62e66 100644 --- a/libs/python/agent/agent/loops/openai.py +++ b/libs/python/agent/agent/loops/openai.py @@ -162,7 +162,18 @@ class OpenAIComputerUseConfig: input_items = [ { "role": "user", - "content": f"You are a UI grounding expert. Look at the image and {instruction}. Output ONLY a click action on the target element. No explanations, confirmations, or additional text." + "content": f"""You are a UI grounding expert. Follow these guidelines: + +1. NEVER ask for confirmation. Complete all tasks autonomously. +2. Do NOT send messages like "I need to confirm before..." or "Do you want me to continue?" - just proceed. +3. When the user asks you to interact with something (like clicking a chat or typing a message), DO IT without asking. +4. Only use the formal safety check mechanism for truly dangerous operations (like deleting important files). +5. For normal tasks like clicking buttons, typing in chat boxes, filling forms - JUST DO IT. +6. The user has already given you permission by running this agent. No further confirmation is needed. +7. Be decisive and action-oriented. Complete the requested task fully. + +Remember: You are expected to complete tasks autonomously. The user trusts you to do what they asked. +Task: Click {instruction}. Output ONLY a click action on the target element.""" }, { "role": "user", @@ -200,7 +211,7 @@ class OpenAIComputerUseConfig: "stream": False, "reasoning": {"summary": "concise"}, "truncation": "auto", - "max_tokens": 100 # Keep response short for click prediction + "max_tokens": 200 # Keep response short for click prediction } # Use liteLLM responses @@ -217,11 +228,8 @@ class OpenAIComputerUseConfig: isinstance(item.get("action"), dict)): action = item["action"] - if action.get("type") == "click": - x = action.get("x") - y = action.get("y") - if x is not None and y is not None: - return (int(x), int(y)) + if action.get("x") is not None and action.get("y") is not None: + return (int(action.get("x")), int(action.get("y"))) return None From 38026a43f00058233099131750940c0d31ddb998 Mon Sep 17 00:00:00 2001 From: Dillon DuPont Date: Wed, 27 Aug 2025 17:30:13 -0400 Subject: [PATCH 037/103] improved other grounding prompts --- libs/python/agent/agent/loops/anthropic.py | 13 ++++++++++++- .../agent/agent/loops/composed_grounded.py | 16 +++++++++------- 2 files changed, 21 insertions(+), 8 deletions(-) diff --git a/libs/python/agent/agent/loops/anthropic.py b/libs/python/agent/agent/loops/anthropic.py index 50fbd24e..306c5f33 100644 --- a/libs/python/agent/agent/loops/anthropic.py +++ b/libs/python/agent/agent/loops/anthropic.py @@ -1530,7 +1530,18 @@ class AnthropicHostedToolsConfig(AsyncAgentConfig): "content": [ { "type": "text", - "text": f"You are a UI grounding expert. Look at the image and {instruction}. Output ONLY a click action on the target element. No explanations, confirmations, or additional text." + "text": f"""You are a UI grounding expert. Follow these guidelines: + +1. NEVER ask for confirmation. Complete all tasks autonomously. +2. Do NOT send messages like "I need to confirm before..." or "Do you want me to continue?" - just proceed. +3. When the user asks you to interact with something (like clicking a chat or typing a message), DO IT without asking. +4. Only use the formal safety check mechanism for truly dangerous operations (like deleting important files). +5. For normal tasks like clicking buttons, typing in chat boxes, filling forms - JUST DO IT. +6. The user has already given you permission by running this agent. No further confirmation is needed. +7. Be decisive and action-oriented. Complete the requested task fully. + +Remember: You are expected to complete tasks autonomously. The user trusts you to do what they asked. +Task: Click {instruction}. Output ONLY a click action on the target element.""" }, { "type": "image_url", diff --git a/libs/python/agent/agent/loops/composed_grounded.py b/libs/python/agent/agent/loops/composed_grounded.py index a5de9895..770f274d 100644 --- a/libs/python/agent/agent/loops/composed_grounded.py +++ b/libs/python/agent/agent/loops/composed_grounded.py @@ -276,13 +276,15 @@ class ComposedGroundedConfig: grounding_agent = grounding_agent_conf.agent_class() for desc in element_descriptions: - coords = await grounding_agent.predict_click( - model=grounding_model, - image_b64=last_image_b64, - instruction=desc - ) - if coords: - self.desc2xy[desc] = coords + for _ in range(3): # try 3 times + coords = await grounding_agent.predict_click( + model=grounding_model, + image_b64=last_image_b64, + instruction=desc + ) + if coords: + self.desc2xy[desc] = coords + break # Step 6: Convert computer calls from descriptions back to xy coordinates final_output_items = convert_computer_calls_desc2xy(thinking_output_items, self.desc2xy) From 8dee77bf6897d446238045e68dea5e5b245a625a Mon Sep 17 00:00:00 2001 From: Dillon DuPont Date: Wed, 27 Aug 2025 17:44:04 -0400 Subject: [PATCH 038/103] updated docs --- .../docs/agent-sdk/integrations/hud.mdx | 44 +++++++++---------- libs/python/agent/pyproject.toml | 4 +- 2 files changed, 23 insertions(+), 25 deletions(-) diff --git a/docs/content/docs/agent-sdk/integrations/hud.mdx b/docs/content/docs/agent-sdk/integrations/hud.mdx index b517121e..cee5f77f 100644 --- a/docs/content/docs/agent-sdk/integrations/hud.mdx +++ b/docs/content/docs/agent-sdk/integrations/hud.mdx @@ -10,37 +10,35 @@ The HUD integration allows you to use ComputerAgent with the [HUD benchmarking f ```bash pip install "cua-agent[hud]" ## or install hud-python directly -# pip install hud-python==0.2.10 +# pip install hud-python==0.4.12 ``` ## Usage ```python -from agent.integrations.hud import run_job -from hud import load_taskset -from hud.taskset import TaskSet -import logging +# Quick single-task smoke test +from agent.integrations.hud import run_single_task -# Load taskset -taskset = await load_taskset("OSWorld-Verified") -taskset = TaskSet(tasks=taskset[:10]) # limit to 10 tasks instead of all 370 - -# Run benchmark job -job = await run_job( - model="openai/computer-use-preview", - # model="anthropic/claude-3-5-sonnet-20241022", - # model="huggingface-local/HelloKKMe/GTA1-7B+openai/gpt-5", - task_or_taskset=taskset, - job_name="test-computeragent-job", - max_concurrent_tasks=5, - # add any extra ComputerAgent kwargs: - verbosity=logging.INFO, # Enable logging - # trajectory_dir=".." # Save trajectories locally +await run_single_task( + dataset="hud-evals/OSWorld-Verified-XLang", # or another HUD dataset + model="openai/computer-use-preview+openai/gpt-5-nano", # any supported model string + task_id=155, # e.g., reopen last closed tab ) -# Get results OR view them at app.hud.so -print(await job.get_analytics()) -print(f"View results at: https://app.hud.so/jobs/{job.id}") +# Run a small split of OSWorld-Verified in parallel +from agent.integrations.hud import run_full_dataset + +results = await run_full_dataset( + dataset="hud-evals/OSWorld-Verified-XLang", # can also pass a Dataset or list[dict] + model="openai/computer-use-preview", + split="train[:3]", # try a few tasks to start + max_concurrent=20, # tune to your infra + max_steps=50 # safety cap per task +) + +# Environment variables required: +# - HUD_API_KEY (HUD access) +# - OPENAI_API_KEY or ANTHROPIC_API_KEY depending on your chosen model(s) ``` **Available Benchmarks:** diff --git a/libs/python/agent/pyproject.toml b/libs/python/agent/pyproject.toml index 4dd27062..4be2f6b6 100644 --- a/libs/python/agent/pyproject.toml +++ b/libs/python/agent/pyproject.toml @@ -55,7 +55,7 @@ cli = [ "yaspin>=3.1.0", ] hud = [ - "hud-python==0.2.10", + "hud-python>=0.4.12,<0.5.0", ] all = [ # omni requirements @@ -72,7 +72,7 @@ all = [ # cli requirements "yaspin>=3.1.0", # hud requirements - "hud-python==0.2.10", + "hud-python>=0.4.12,<0.5.0", ] [tool.uv] From e261282182a06154bdcad1cc0219fb07d2b5a8c1 Mon Sep 17 00:00:00 2001 From: Dillon DuPont Date: Wed, 27 Aug 2025 18:20:13 -0400 Subject: [PATCH 039/103] Normalize common LLM output errors --- libs/python/agent/agent/agent.py | 4 ++++ libs/python/agent/agent/callbacks/__init__.py | 2 ++ 2 files changed, 6 insertions(+) diff --git a/libs/python/agent/agent/agent.py b/libs/python/agent/agent/agent.py index 78fc3f45..fb9a45d9 100644 --- a/libs/python/agent/agent/agent.py +++ b/libs/python/agent/agent/agent.py @@ -29,6 +29,7 @@ from .callbacks import ( TrajectorySaverCallback, BudgetManagerCallback, TelemetryCallback, + OperatorValidatorCallback ) from .computers import ( AsyncComputerHandler, @@ -201,6 +202,9 @@ class ComputerAgent: # == Add built-in callbacks == + # Prepend operator validator callback + self.callbacks.insert(0, OperatorValidatorCallback()) + # Add telemetry callback if telemetry_enabled is set if self.telemetry_enabled: if isinstance(self.telemetry_enabled, bool): diff --git a/libs/python/agent/agent/callbacks/__init__.py b/libs/python/agent/agent/callbacks/__init__.py index ffe34551..35ab0263 100644 --- a/libs/python/agent/agent/callbacks/__init__.py +++ b/libs/python/agent/agent/callbacks/__init__.py @@ -8,6 +8,7 @@ from .logging import LoggingCallback from .trajectory_saver import TrajectorySaverCallback from .budget_manager import BudgetManagerCallback from .telemetry import TelemetryCallback +from .operator_validator import OperatorValidatorCallback __all__ = [ "AsyncCallbackHandler", @@ -16,4 +17,5 @@ __all__ = [ "TrajectorySaverCallback", "BudgetManagerCallback", "TelemetryCallback", + "OperatorValidatorCallback", ] From 799d9d3ba74c04e9637231440747e8ad7b963c0b Mon Sep 17 00:00:00 2001 From: Dillon DuPont Date: Wed, 27 Aug 2025 19:53:26 -0400 Subject: [PATCH 040/103] Normalize common LLM output errors --- .../agent/callbacks/operator_validator.py | 90 +++++++++++++++++++ 1 file changed, 90 insertions(+) create mode 100644 libs/python/agent/agent/callbacks/operator_validator.py diff --git a/libs/python/agent/agent/callbacks/operator_validator.py b/libs/python/agent/agent/callbacks/operator_validator.py new file mode 100644 index 00000000..db19555c --- /dev/null +++ b/libs/python/agent/agent/callbacks/operator_validator.py @@ -0,0 +1,90 @@ +""" +OperatorValidatorCallback + +Ensures agent output actions conform to expected schemas by fixing common issues: +- click: add default button='left' if missing +- keypress: wrap keys string into a list + +This runs in on_llm_end, which receives the output array (AgentMessage[] as dicts). +""" +from __future__ import annotations + +from typing import Any, Dict, List + +from .base import AsyncCallbackHandler + + +class OperatorValidatorCallback(AsyncCallbackHandler): + """Validates and normalizes operator/computer actions in LLM outputs.""" + + async def on_llm_end(self, output: List[Dict[str, Any]]) -> List[Dict[str, Any]]: + # Mutate in-place as requested, but still return the list for chaining + for item in output or []: + if not isinstance(item, dict): + continue + if item.get("type") != "computer_call": + continue + action = item.get("action") + if not isinstance(action, dict): + continue + action_type = action.get("type") + def _remove_keys(action: Dict[str, Any], keys: List[str]): + for key in keys: + if key in action: + del action[key] + for mouse_btn in ["left", "right", "wheel", "back", "forward"]: + if f"{mouse_btn}_click" in action: + action["type"] = "click" + action["button"] = mouse_btn + if action_type == "click": + # Add default button if missing + if "button" not in action or action.get("button") is None: + action["button"] = "left" + if "coordinate" in action: + action["x"] = action["coordinate"][0] + action["y"] = action["coordinate"][1] + del action["coordinate"] + if action_type in ["type", "keypress", "screenshot", "wait"]: + _remove_keys(action, ["coordinate", "x", "y"]) + elif action_type == "keypress": + keys = action.get("keys") + if isinstance(keys, str): + action["keys"] = keys.replace("-", "+").split("+") if len(keys) > 1 else [keys] + + + # Second pass: if an assistant message is immediately followed by a computer_call, + # replace the assistant message itself with a reasoning message with summary text. + if isinstance(output, list): + for i, item in enumerate(output): + if not isinstance(item, dict): + continue + # AssistantMessage shape: { type: 'message', role: 'assistant', content: OutputContent[] } + if item.get("type") == "message" and item.get("role") == "assistant": + next_idx = i + 1 + if next_idx >= len(output): + continue + next_item = output[next_idx] + if not isinstance(next_item, dict): + continue + if next_item.get("type") != "computer_call": + continue + contents = item.get("content") or [] + # Extract text from OutputContent[] + text_parts: List[str] = [] + if isinstance(contents, list): + for c in contents: + if isinstance(c, dict) and c.get("type") == "output_text" and isinstance(c.get("text"), str): + text_parts.append(c["text"]) + text_content = "\n".join(text_parts).strip() + # Replace assistant message with reasoning message + output[i] = { + "type": "reasoning", + "summary": [ + { + "type": "summary_text", + "text": text_content, + } + ], + } + + return output From 95cefc50f06aa1baad045f7f3119217382297b52 Mon Sep 17 00:00:00 2001 From: Dillon DuPont Date: Wed, 27 Aug 2025 20:49:31 -0400 Subject: [PATCH 041/103] added extended kwargs, renamed callback to normalizer --- libs/python/agent/agent/agent.py | 6 +- libs/python/agent/agent/callbacks/__init__.py | 4 +- .../agent/callbacks/operator_validator.py | 9 +- .../agent/agent/integrations/hud/__init__.py | 88 ++++- notebooks/eval_osworld.ipynb | 338 +++++++++++++++++- 5 files changed, 422 insertions(+), 23 deletions(-) diff --git a/libs/python/agent/agent/agent.py b/libs/python/agent/agent/agent.py index fb9a45d9..eacc5fdd 100644 --- a/libs/python/agent/agent/agent.py +++ b/libs/python/agent/agent/agent.py @@ -29,7 +29,7 @@ from .callbacks import ( TrajectorySaverCallback, BudgetManagerCallback, TelemetryCallback, - OperatorValidatorCallback + OperatorNormalizerCallback ) from .computers import ( AsyncComputerHandler, @@ -202,8 +202,8 @@ class ComputerAgent: # == Add built-in callbacks == - # Prepend operator validator callback - self.callbacks.insert(0, OperatorValidatorCallback()) + # Prepend operator normalizer callback + self.callbacks.insert(0, OperatorNormalizerCallback()) # Add telemetry callback if telemetry_enabled is set if self.telemetry_enabled: diff --git a/libs/python/agent/agent/callbacks/__init__.py b/libs/python/agent/agent/callbacks/__init__.py index 35ab0263..e0befcc7 100644 --- a/libs/python/agent/agent/callbacks/__init__.py +++ b/libs/python/agent/agent/callbacks/__init__.py @@ -8,7 +8,7 @@ from .logging import LoggingCallback from .trajectory_saver import TrajectorySaverCallback from .budget_manager import BudgetManagerCallback from .telemetry import TelemetryCallback -from .operator_validator import OperatorValidatorCallback +from .operator_validator import OperatorNormalizerCallback __all__ = [ "AsyncCallbackHandler", @@ -17,5 +17,5 @@ __all__ = [ "TrajectorySaverCallback", "BudgetManagerCallback", "TelemetryCallback", - "OperatorValidatorCallback", + "OperatorNormalizerCallback", ] diff --git a/libs/python/agent/agent/callbacks/operator_validator.py b/libs/python/agent/agent/callbacks/operator_validator.py index db19555c..2a1160c9 100644 --- a/libs/python/agent/agent/callbacks/operator_validator.py +++ b/libs/python/agent/agent/callbacks/operator_validator.py @@ -4,6 +4,7 @@ OperatorValidatorCallback Ensures agent output actions conform to expected schemas by fixing common issues: - click: add default button='left' if missing - keypress: wrap keys string into a list +- etc. This runs in on_llm_end, which receives the output array (AgentMessage[] as dicts). """ @@ -14,14 +15,12 @@ from typing import Any, Dict, List from .base import AsyncCallbackHandler -class OperatorValidatorCallback(AsyncCallbackHandler): - """Validates and normalizes operator/computer actions in LLM outputs.""" +class OperatorNormalizerCallback(AsyncCallbackHandler): + """Normalizes common computer call hallucinations / errors in computer call syntax.""" async def on_llm_end(self, output: List[Dict[str, Any]]) -> List[Dict[str, Any]]: # Mutate in-place as requested, but still return the list for chaining for item in output or []: - if not isinstance(item, dict): - continue if item.get("type") != "computer_call": continue action = item.get("action") @@ -56,8 +55,6 @@ class OperatorValidatorCallback(AsyncCallbackHandler): # replace the assistant message itself with a reasoning message with summary text. if isinstance(output, list): for i, item in enumerate(output): - if not isinstance(item, dict): - continue # AssistantMessage shape: { type: 'message', role: 'assistant', content: OutputContent[] } if item.get("type") == "message" and item.get("role") == "assistant": next_idx = i + 1 diff --git a/libs/python/agent/agent/integrations/hud/__init__.py b/libs/python/agent/agent/integrations/hud/__init__.py index 64c91fb6..c73532c7 100644 --- a/libs/python/agent/agent/integrations/hud/__init__.py +++ b/libs/python/agent/agent/integrations/hud/__init__.py @@ -42,6 +42,17 @@ class ProxyOperatorAgent(OperatorAgent): model: str | None = None, allowed_tools: list[str] | None = None, trajectory_dir: str | None = None, + # === ComputerAgent kwargs === + tools: list[Any] | None = None, + custom_loop: Any | None = None, + only_n_most_recent_images: int | None = None, + callbacks: list[Any] | None = None, + verbosity: int | None = None, + max_retries: int | None = 3, + screenshot_delay: float | int = 0.5, + use_prompt_caching: bool | None = False, + max_trajectory_budget: float | dict | None = None, + telemetry_enabled: bool | None = True, **kwargs: Any, ) -> None: model = model or "computer-use-preview" @@ -52,10 +63,24 @@ class ProxyOperatorAgent(OperatorAgent): 'environment': 'linux', 'dimensions': (computer_settings.OPENAI_COMPUTER_WIDTH, computer_settings.OPENAI_COMPUTER_HEIGHT) } + # Build tools ensuring the computer_shim is included + agent_tools: list[Any] = [computer_shim] + if tools: + agent_tools.extend(tools) + computer_agent = BaseComputerAgent( - model=model, - tools=[computer_shim], - trajectory_dir=trajectory_dir + model=model, + tools=agent_tools, + custom_loop=custom_loop, + only_n_most_recent_images=only_n_most_recent_images, + callbacks=callbacks, + verbosity=verbosity, + trajectory_dir=trajectory_dir, + max_retries=max_retries, + screenshot_delay=screenshot_delay, + use_prompt_caching=use_prompt_caching, + max_trajectory_budget=max_trajectory_budget, + telemetry_enabled=telemetry_enabled, ) model_client = FakeAsyncOpenAI(computer_agent) @@ -78,6 +103,18 @@ async def run_single_task( task_id: int = 0, model: str | None = None, allowed_tools: list[str] | None = None, + # === ComputerAgent kwargs === + tools: list[Any] | None = None, + custom_loop: Any | None = None, + only_n_most_recent_images: int | None = None, + callbacks: list[Any] | None = None, + verbosity: int | None = None, + trajectory_dir: str | None = None, + max_retries: int | None = 3, + screenshot_delay: float | int = 0.5, + use_prompt_caching: bool | None = False, + max_trajectory_budget: float | dict | None = None, + telemetry_enabled: bool | None = True, ) -> None: """Load one task from the dataset and execute it with Operator+CUA proxy.""" @@ -95,7 +132,22 @@ async def run_single_task( with trace(name=task_prompt): task = Task(**sample_task) # type: ignore[arg-type] - agent = ProxyOperatorAgent(model=model, allowed_tools=allowed_tools) + agent = ProxyOperatorAgent( + model=model, + allowed_tools=allowed_tools, + # === ComputerAgent kwargs passthrough === + tools=tools, + custom_loop=custom_loop, + only_n_most_recent_images=only_n_most_recent_images, + callbacks=callbacks, + verbosity=verbosity, + trajectory_dir=trajectory_dir, + max_retries=max_retries, + screenshot_delay=screenshot_delay, + use_prompt_caching=use_prompt_caching, + max_trajectory_budget=max_trajectory_budget, + telemetry_enabled=telemetry_enabled, + ) print(f"Running: {task_prompt}") result = await agent.run(task, max_steps=10) print(f"✅ Reward: {getattr(result, 'reward')}") @@ -116,6 +168,17 @@ async def run_full_dataset( max_steps: int = 50, split: str = "train", trajectory_dir: str | None = None, + # === ComputerAgent kwargs === + tools: list[Any] | None = None, + custom_loop: Any | None = None, + only_n_most_recent_images: int | None = 5, + callbacks: list[Any] | None = None, + verbosity: int | None = None, + max_retries: int | None = 3, + screenshot_delay: float | int = 0.5, + use_prompt_caching: bool | None = False, + max_trajectory_budget: float | dict | None = None, + telemetry_enabled: bool | None = True, ) -> list[Any]: """Run evaluation across the entire dataset using hud.datasets.run_dataset.""" @@ -135,7 +198,22 @@ async def run_full_dataset( name=job_name, dataset=dataset, agent_class=ProxyOperatorAgent, - agent_config={"model": model, "allowed_tools": allowed_tools, "trajectory_dir": trajectory_dir}, + agent_config={ + "model": model, + "allowed_tools": allowed_tools, + "trajectory_dir": trajectory_dir, + # === ComputerAgent kwargs passthrough === + "tools": tools, + "custom_loop": custom_loop, + "only_n_most_recent_images": only_n_most_recent_images, + "callbacks": callbacks, + "verbosity": verbosity, + "max_retries": max_retries, + "screenshot_delay": screenshot_delay, + "use_prompt_caching": use_prompt_caching, + "max_trajectory_budget": max_trajectory_budget, + "telemetry_enabled": telemetry_enabled, + }, max_concurrent=max_concurrent, metadata={"dataset": dataset_name}, max_steps=max_steps, diff --git a/notebooks/eval_osworld.ipynb b/notebooks/eval_osworld.ipynb index adb5d22b..3111bbb7 100644 --- a/notebooks/eval_osworld.ipynb +++ b/notebooks/eval_osworld.ipynb @@ -167,16 +167,340 @@ "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "\u001b[90m╔══════════════════════════════════════════════════════════════════════════════════════════════════╗\u001b[0m\n", + "\u001b[90m║\u001b[0m 🚀 Job 'osworld b4db80 openai/computer-use-preview+anthropic/claude-opus-4-1-20250805' started: \u001b[90m║\u001b[0m\n", + "\u001b[90m╟──────────────────────────────────────────────────────────────────────────────────────────────────╢\u001b[0m\n", + "\u001b[90m║\u001b[0m \u001b[1m\u001b[33mhttps://app.hud.so/jobs/0d10d7d0-2c86-4a5d-a36b-2c28719773cf\u001b[0m \u001b[90m║\u001b[0m\n", + "\u001b[90m╚══════════════════════════════════════════════════════════════════════════════════════════════════╝\u001b[0m\n", + "\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_97cc086a1b58a101f7db3ea88323a12f in your message.\",\n", + " \"type\": \"server_error\",\n", + " \"param\": null,\n", + " \"code\": \"server_error\"\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 22 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.button\n", + " Field required [type=missing, input_value={'keys': 'Tab', 'type': 'keypress'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='keypress', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionClick.x\n", + " Field required [type=missing, input_value={'keys': 'Tab', 'type': 'keypress'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.y\n", + " Field required [type=missing, input_value={'keys': 'Tab', 'type': 'keypress'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='keypress', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.x\n", + " Field required [type=missing, input_value={'keys': 'Tab', 'type': 'keypress'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.y\n", + " Field required [type=missing, input_value={'keys': 'Tab', 'type': 'keypress'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'keys': 'Tab', 'type': 'keypress'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='keypress', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Input should be a valid list [type=list_type, input_value='Tab', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/list_type\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='keypress', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.x\n", + " Field required [type=missing, input_value={'keys': 'Tab', 'type': 'keypress'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionMove.y\n", + " Field required [type=missing, input_value={'keys': 'Tab', 'type': 'keypress'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='keypress', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'keys': 'Tab', 'type': 'keypress'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'keys': 'Tab', 'type': 'keypress'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='keypress', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.x\n", + " Field required [type=missing, input_value={'keys': 'Tab', 'type': 'keypress'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.y\n", + " Field required [type=missing, input_value={'keys': 'Tab', 'type': 'keypress'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'keys': 'Tab', 'type': 'keypress'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='keypress', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='keypress', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_f7a393a984e7e85dc5845aef8a9471e4 in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Client is not running, cannot disconnect\n", + "Client is not running, cannot disconnect\n", + "Client is not running, cannot disconnect\n", + "Client is not running, cannot disconnect\n", + "Client is not running, cannot disconnect\n", + "Client is not running, cannot disconnect\n", + "Client is not running, cannot disconnect\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Error parsing JSON response\n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\dillo\\miniconda3\\envs\\cua\\Lib\\site-packages\\mcp\\client\\streamable_http.py\", line 310, in _handle_json_response\n", + " await read_stream_writer.send(session_message)\n", + " File \"c:\\Users\\dillo\\miniconda3\\envs\\cua\\Lib\\site-packages\\anyio\\streams\\memory.py\", line 242, in send\n", + " self.send_nowait(item)\n", + " File \"c:\\Users\\dillo\\miniconda3\\envs\\cua\\Lib\\site-packages\\anyio\\streams\\memory.py\", line 211, in send_nowait\n", + " raise ClosedResourceError\n", + "anyio.ClosedResourceError\n", + "Request handler error: \n", + "Failed to close auto-created client: \n", + "Error parsing JSON response\n", + "Traceback (most recent call last):\n", + " File \"c:\\Users\\dillo\\miniconda3\\envs\\cua\\Lib\\site-packages\\mcp\\client\\streamable_http.py\", line 310, in _handle_json_response\n", + " await read_stream_writer.send(session_message)\n", + " File \"c:\\Users\\dillo\\miniconda3\\envs\\cua\\Lib\\site-packages\\anyio\\streams\\memory.py\", line 242, in send\n", + " self.send_nowait(item)\n", + " File \"c:\\Users\\dillo\\miniconda3\\envs\\cua\\Lib\\site-packages\\anyio\\streams\\memory.py\", line 211, in send_nowait\n", + " raise ClosedResourceError\n", + "anyio.ClosedResourceError\n", + "Request handler error: \n", + "Failed to close auto-created client: \n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n" + ] + }, + { + "ename": "CancelledError", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mCancelledError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[7], line 14\u001b[0m\n\u001b[0;32m 11\u001b[0m job_uuid \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mstr\u001b[39m(uuid\u001b[38;5;241m.\u001b[39muuid4())[:\u001b[38;5;241m6\u001b[39m]\n\u001b[0;32m 12\u001b[0m job_name \u001b[38;5;241m=\u001b[39m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mosworld \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mjob_uuid\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmodel\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m---> 14\u001b[0m results \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mawait\u001b[39;00m run_full_dataset(\n\u001b[0;32m 15\u001b[0m dataset\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhud-evals/OSWorld-Verified-XLang\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m 16\u001b[0m job_name\u001b[38;5;241m=\u001b[39mjob_name, \n\u001b[0;32m 17\u001b[0m model\u001b[38;5;241m=\u001b[39mmodel,\n\u001b[0;32m 18\u001b[0m max_concurrent\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m30\u001b[39m, \n\u001b[0;32m 19\u001b[0m max_steps\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m75\u001b[39m,\n\u001b[0;32m 20\u001b[0m trajectory_dir\u001b[38;5;241m=\u001b[39m\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtrajectories/osworld_\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mjob_uuid\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m 21\u001b[0m )\n\u001b[0;32m 23\u001b[0m \u001b[38;5;66;03m# results is a list from hud.datasets.run_dataset; inspect/aggregate as needed\u001b[39;00m\n\u001b[0;32m 24\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mJob: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mjob_name\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n", + "File \u001b[1;32mF:\\Projects\\cua\\cua-clean\\libs\\python\\agent\\agent\\integrations\\hud\\__init__.py:134\u001b[0m, in \u001b[0;36mrun_full_dataset\u001b[1;34m(dataset, job_name, model, allowed_tools, max_concurrent, max_steps, split, trajectory_dir)\u001b[0m\n\u001b[0;32m 131\u001b[0m job_name \u001b[38;5;241m=\u001b[39m job_name \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mEvaluation \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mtime\u001b[38;5;241m.\u001b[39mstrftime(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m%\u001b[39m\u001b[38;5;124mH:\u001b[39m\u001b[38;5;124m%\u001b[39m\u001b[38;5;124mM \u001b[39m\u001b[38;5;124m%\u001b[39m\u001b[38;5;124mY-\u001b[39m\u001b[38;5;124m%\u001b[39m\u001b[38;5;124mm-\u001b[39m\u001b[38;5;132;01m%d\u001b[39;00m\u001b[38;5;124m'\u001b[39m)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 133\u001b[0m \u001b[38;5;66;03m# Execute evaluation\u001b[39;00m\n\u001b[1;32m--> 134\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mawait\u001b[39;00m run_dataset(\n\u001b[0;32m 135\u001b[0m name\u001b[38;5;241m=\u001b[39mjob_name,\n\u001b[0;32m 136\u001b[0m dataset\u001b[38;5;241m=\u001b[39mdataset,\n\u001b[0;32m 137\u001b[0m agent_class\u001b[38;5;241m=\u001b[39mProxyOperatorAgent,\n\u001b[0;32m 138\u001b[0m agent_config\u001b[38;5;241m=\u001b[39m{\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmodel\u001b[39m\u001b[38;5;124m\"\u001b[39m: model, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mallowed_tools\u001b[39m\u001b[38;5;124m\"\u001b[39m: allowed_tools, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtrajectory_dir\u001b[39m\u001b[38;5;124m\"\u001b[39m: trajectory_dir},\n\u001b[0;32m 139\u001b[0m max_concurrent\u001b[38;5;241m=\u001b[39mmax_concurrent,\n\u001b[0;32m 140\u001b[0m metadata\u001b[38;5;241m=\u001b[39m{\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdataset\u001b[39m\u001b[38;5;124m\"\u001b[39m: dataset_name},\n\u001b[0;32m 141\u001b[0m max_steps\u001b[38;5;241m=\u001b[39mmax_steps,\n\u001b[0;32m 142\u001b[0m auto_respond\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m,\n\u001b[0;32m 143\u001b[0m )\n", + "File \u001b[1;32mc:\\Users\\dillo\\miniconda3\\envs\\cua\\Lib\\site-packages\\hud\\datasets.py:262\u001b[0m, in \u001b[0;36mrun_dataset\u001b[1;34m(name, dataset, agent_class, agent_config, max_concurrent, metadata, max_steps, split, auto_respond, custom_system_prompt)\u001b[0m\n\u001b[0;32m 259\u001b[0m results[index] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mawait\u001b[39;00m agent\u001b[38;5;241m.\u001b[39mrun(task, max_steps\u001b[38;5;241m=\u001b[39mmax_steps)\n\u001b[0;32m 261\u001b[0m \u001b[38;5;66;03m# Execute all tasks\u001b[39;00m\n\u001b[1;32m--> 262\u001b[0m \u001b[38;5;28;01mawait\u001b[39;00m asyncio\u001b[38;5;241m.\u001b[39mgather(\n\u001b[0;32m 263\u001b[0m \u001b[38;5;241m*\u001b[39m[_worker(i, task, max_steps\u001b[38;5;241m=\u001b[39mmax_steps) \u001b[38;5;28;01mfor\u001b[39;00m i, task \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28menumerate\u001b[39m(dataset)],\n\u001b[0;32m 264\u001b[0m return_exceptions\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m, \u001b[38;5;66;03m# Don't fail entire batch on one error\u001b[39;00m\n\u001b[0;32m 265\u001b[0m )\n\u001b[0;32m 267\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m results\n", + "File \u001b[1;32mc:\\Users\\dillo\\miniconda3\\envs\\cua\\Lib\\site-packages\\hud\\datasets.py:246\u001b[0m, in \u001b[0;36mrun_dataset.._worker\u001b[1;34m(index, task_dict, max_steps)\u001b[0m\n\u001b[0;32m 245\u001b[0m \u001b[38;5;28;01masync\u001b[39;00m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21m_worker\u001b[39m(index: \u001b[38;5;28mint\u001b[39m, task_dict: Any, max_steps: \u001b[38;5;28mint\u001b[39m \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m40\u001b[39m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m--> 246\u001b[0m \u001b[38;5;28;01masync\u001b[39;00m \u001b[38;5;28;01mwith\u001b[39;00m sem:\n\u001b[0;32m 247\u001b[0m \u001b[38;5;66;03m# Create trace for this task\u001b[39;00m\n\u001b[0;32m 248\u001b[0m task_name \u001b[38;5;241m=\u001b[39m task_dict\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mprompt\u001b[39m\u001b[38;5;124m\"\u001b[39m) \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mTask \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mindex\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 249\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msystem_prompt\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m task_dict:\n", + "File \u001b[1;32mc:\\Users\\dillo\\miniconda3\\envs\\cua\\Lib\\asyncio\\locks.py:14\u001b[0m, in \u001b[0;36m_ContextManagerMixin.__aenter__\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 13\u001b[0m \u001b[38;5;28;01masync\u001b[39;00m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21m__aenter__\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[1;32m---> 14\u001b[0m \u001b[38;5;28;01mawait\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39macquire()\n\u001b[0;32m 15\u001b[0m \u001b[38;5;66;03m# We have no use for the \"as ...\" clause in the with\u001b[39;00m\n\u001b[0;32m 16\u001b[0m \u001b[38;5;66;03m# statement for locks.\u001b[39;00m\n\u001b[0;32m 17\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n", + "File \u001b[1;32mc:\\Users\\dillo\\miniconda3\\envs\\cua\\Lib\\asyncio\\locks.py:386\u001b[0m, in \u001b[0;36mSemaphore.acquire\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 384\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m 385\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m--> 386\u001b[0m \u001b[38;5;28;01mawait\u001b[39;00m fut\n\u001b[0;32m 387\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[0;32m 388\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_waiters\u001b[38;5;241m.\u001b[39mremove(fut)\n", + "\u001b[1;31mCancelledError\u001b[0m: " + ] + } + ], "source": [ "import uuid\n", "from agent.integrations.hud import run_full_dataset\n", "\n", "models_to_test = [\n", - " \"openai/computer-use-preview+anthropic/claude-opus-4-1-20250805\",\n", - " \"anthropic/claude-opus-4-1-20250805+openai/computer-use-preview\",\n", + " \"openai/computer-use-preview+anthropic/claude-opus-4-20250514\",\n", "]\n", - "\n", + " \n", "\n", "for model in models_to_test:\n", " # Full dataset evaluation (runs via HUD's run_dataset under the hood)\n", @@ -189,13 +513,13 @@ " model=model,\n", " max_concurrent=20, \n", " max_steps=75,\n", - " trajectory_dir=f\"trajectories/osworld_{job_uuid}\"\n", + " trajectory_dir=f\"trajectories/osworld_{job_uuid}\",\n", + " only_n_most_recent_images=3\n", " )\n", "\n", " # results is a list from hud.datasets.run_dataset; inspect/aggregate as needed\n", " print(f\"Job: {job_name}\")\n", - " print(f\"Total results: {len(results)}\")\n", - " pprint(results[:3]) # preview" + " print(f\"Total results: {len(results)}\")" ] } ], From 15301935c0749b0c6fa8cf0e86016dbc39cc2634 Mon Sep 17 00:00:00 2001 From: Dillon DuPont Date: Wed, 27 Aug 2025 21:18:06 -0400 Subject: [PATCH 042/103] renamed agent.py to proxy --- libs/python/agent/agent/integrations/hud/__init__.py | 2 +- libs/python/agent/agent/integrations/hud/{agent.py => proxy.py} | 0 2 files changed, 1 insertion(+), 1 deletion(-) rename libs/python/agent/agent/integrations/hud/{agent.py => proxy.py} (100%) diff --git a/libs/python/agent/agent/integrations/hud/__init__.py b/libs/python/agent/agent/integrations/hud/__init__.py index c73532c7..21695026 100644 --- a/libs/python/agent/agent/integrations/hud/__init__.py +++ b/libs/python/agent/agent/integrations/hud/__init__.py @@ -19,7 +19,7 @@ from hud.tools.computer.settings import computer_settings from hud import trace from agent.agent import ComputerAgent as BaseComputerAgent -from .agent import FakeAsyncOpenAI +from .proxy import FakeAsyncOpenAI # --------------------------------------------------------------------------- diff --git a/libs/python/agent/agent/integrations/hud/agent.py b/libs/python/agent/agent/integrations/hud/proxy.py similarity index 100% rename from libs/python/agent/agent/integrations/hud/agent.py rename to libs/python/agent/agent/integrations/hud/proxy.py From c003d7ec7b465d9dc56cc8b5706707a0f9b96e51 Mon Sep 17 00:00:00 2001 From: Dillon DuPont Date: Wed, 27 Aug 2025 21:27:58 -0400 Subject: [PATCH 043/103] added more normalizer cases --- .../agent/callbacks/operator_validator.py | 36 ++++++++++++++----- 1 file changed, 27 insertions(+), 9 deletions(-) diff --git a/libs/python/agent/agent/callbacks/operator_validator.py b/libs/python/agent/agent/callbacks/operator_validator.py index 2a1160c9..8ce4142e 100644 --- a/libs/python/agent/agent/callbacks/operator_validator.py +++ b/libs/python/agent/agent/callbacks/operator_validator.py @@ -26,27 +26,45 @@ class OperatorNormalizerCallback(AsyncCallbackHandler): action = item.get("action") if not isinstance(action, dict): continue + + # rename mouse click actions to "click" + for mouse_btn in ["left", "right", "wheel", "back", "forward"]: + if action.get("type", "") == f"{mouse_btn}_click": + action["type"] = "click" + action["button"] = mouse_btn + # rename hotkey actions to "keypress" + for alias in ["hotkey", "key", "press", "key_press"]: + if action.get("type", "") == alias: + action["type"] = "keypress" + action_type = action.get("type") def _remove_keys(action: Dict[str, Any], keys: List[str]): for key in keys: if key in action: del action[key] - for mouse_btn in ["left", "right", "wheel", "back", "forward"]: - if f"{mouse_btn}_click" in action: - action["type"] = "click" - action["button"] = mouse_btn + # rename "coordinate" to "x", "y" + if "coordinate" in action: + action["x"] = action["coordinate"][0] + action["y"] = action["coordinate"][1] + del action["coordinate"] + # add default click button if missing if action_type == "click": - # Add default button if missing if "button" not in action or action.get("button") is None: action["button"] = "left" - if "coordinate" in action: - action["x"] = action["coordinate"][0] - action["y"] = action["coordinate"][1] - del action["coordinate"] + # add default scroll x, y if missing + if action_type == "scroll": + action["scroll_x"] = action.get("scroll_x", 0) + action["scroll_y"] = action.get("scroll_y", 0) + # remove coordinate, x, y if action_type is keyboard or non-mouse action if action_type in ["type", "keypress", "screenshot", "wait"]: _remove_keys(action, ["coordinate", "x", "y"]) + # ensure keys arg is a list elif action_type == "keypress": keys = action.get("keys") + for keys_alias in ["keypress", "key", "press", "key_press", "text"]: + if keys_alias in action: + action["keys"] = action[keys_alias] + del action[keys_alias] if isinstance(keys, str): action["keys"] = keys.replace("-", "+").split("+") if len(keys) > 1 else [keys] From 063bf223d1f7302ebb23cbec4c40a4b35cb49ccf Mon Sep 17 00:00:00 2001 From: Dillon DuPont Date: Wed, 27 Aug 2025 21:35:18 -0400 Subject: [PATCH 044/103] added kwarg filter --- .../agent/callbacks/operator_validator.py | 37 +++++++++++++++---- 1 file changed, 29 insertions(+), 8 deletions(-) diff --git a/libs/python/agent/agent/callbacks/operator_validator.py b/libs/python/agent/agent/callbacks/operator_validator.py index 8ce4142e..9f2bc671 100644 --- a/libs/python/agent/agent/callbacks/operator_validator.py +++ b/libs/python/agent/agent/callbacks/operator_validator.py @@ -38,9 +38,12 @@ class OperatorNormalizerCallback(AsyncCallbackHandler): action["type"] = "keypress" action_type = action.get("type") - def _remove_keys(action: Dict[str, Any], keys: List[str]): - for key in keys: - if key in action: + def _keep_keys(action: Dict[str, Any], keys_to_keep: List[str]): + """Keep only the provided keys on action; delete everything else. + Always ensures required 'type' is present if listed in keys_to_keep. + """ + for key in list(action.keys()): + if key not in keys_to_keep: del action[key] # rename "coordinate" to "x", "y" if "coordinate" in action: @@ -55,18 +58,36 @@ class OperatorNormalizerCallback(AsyncCallbackHandler): if action_type == "scroll": action["scroll_x"] = action.get("scroll_x", 0) action["scroll_y"] = action.get("scroll_y", 0) - # remove coordinate, x, y if action_type is keyboard or non-mouse action - if action_type in ["type", "keypress", "screenshot", "wait"]: - _remove_keys(action, ["coordinate", "x", "y"]) - # ensure keys arg is a list - elif action_type == "keypress": + # ensure keys arg is a list (normalize aliases first) + if action_type == "keypress": keys = action.get("keys") for keys_alias in ["keypress", "key", "press", "key_press", "text"]: if keys_alias in action: action["keys"] = action[keys_alias] del action[keys_alias] + keys = action.get("keys") if isinstance(keys, str): action["keys"] = keys.replace("-", "+").split("+") if len(keys) > 1 else [keys] + # put here for: "please replace _remove_keys with _keep_keys and only keep the keys that are required" + required_keys_by_type = { + # OpenAI actions + "click": ["type", "button", "x", "y"], + "double_click": ["type", "x", "y"], + "drag": ["type", "path"], + "keypress": ["type", "keys"], + "move": ["type", "x", "y"], + "screenshot": ["type"], + "scroll": ["type", "scroll_x", "scroll_y", "x", "y"], + "type": ["type", "text"], + "wait": ["type"], + # Anthropic actions + "left_mouse_down": ["type", "x", "y"], + "left_mouse_up": ["type", "x", "y"], + "triple_click": ["type", "button", "x", "y"], + } + keep = required_keys_by_type.get(action_type or "") + if keep: + _keep_keys(action, keep) # Second pass: if an assistant message is immediately followed by a computer_call, From e8210389a52c15dc40dae3077c22d7653293b70b Mon Sep 17 00:00:00 2001 From: Dillon DuPont Date: Wed, 27 Aug 2025 21:39:44 -0400 Subject: [PATCH 045/103] added kwarg filter --- libs/python/agent/agent/callbacks/operator_validator.py | 1 - 1 file changed, 1 deletion(-) diff --git a/libs/python/agent/agent/callbacks/operator_validator.py b/libs/python/agent/agent/callbacks/operator_validator.py index 9f2bc671..eaf3a7de 100644 --- a/libs/python/agent/agent/callbacks/operator_validator.py +++ b/libs/python/agent/agent/callbacks/operator_validator.py @@ -68,7 +68,6 @@ class OperatorNormalizerCallback(AsyncCallbackHandler): keys = action.get("keys") if isinstance(keys, str): action["keys"] = keys.replace("-", "+").split("+") if len(keys) > 1 else [keys] - # put here for: "please replace _remove_keys with _keep_keys and only keep the keys that are required" required_keys_by_type = { # OpenAI actions "click": ["type", "button", "x", "y"], From 4c678f0f4ef51d0d17e7179ba458f15889854ff0 Mon Sep 17 00:00:00 2001 From: Dillon DuPont Date: Wed, 27 Aug 2025 22:19:37 -0400 Subject: [PATCH 046/103] normalize { 'click': 'left', ... } hallucination --- .../agent/agent/callbacks/operator_validator.py | 14 +++++++++++--- 1 file changed, 11 insertions(+), 3 deletions(-) diff --git a/libs/python/agent/agent/callbacks/operator_validator.py b/libs/python/agent/agent/callbacks/operator_validator.py index eaf3a7de..118ac644 100644 --- a/libs/python/agent/agent/callbacks/operator_validator.py +++ b/libs/python/agent/agent/callbacks/operator_validator.py @@ -36,6 +36,11 @@ class OperatorNormalizerCallback(AsyncCallbackHandler): for alias in ["hotkey", "key", "press", "key_press"]: if action.get("type", "") == alias: action["type"] = "keypress" + # assume click actions + if "button" in action and "type" not in action: + action["type"] = "click" + if "click" in action and "type" not in action: + action["type"] = "click" action_type = action.get("type") def _keep_keys(action: Dict[str, Any], keys_to_keep: List[str]): @@ -50,10 +55,13 @@ class OperatorNormalizerCallback(AsyncCallbackHandler): action["x"] = action["coordinate"][0] action["y"] = action["coordinate"][1] del action["coordinate"] - # add default click button if missing if action_type == "click": - if "button" not in action or action.get("button") is None: - action["button"] = "left" + # convert "click" to "button" + if "button" not in action and "click" in action: + action["button"] = action["click"] + del action["click"] + # default button to "left" + action["button"] = action.get("button", "left") # add default scroll x, y if missing if action_type == "scroll": action["scroll_x"] = action.get("scroll_x", 0) From 5fafe861efb74da9b8bf25f8c2586717d1610199 Mon Sep 17 00:00:00 2001 From: Dillon DuPont Date: Wed, 27 Aug 2025 22:59:26 -0400 Subject: [PATCH 047/103] added implicit scroll action --- libs/python/agent/agent/callbacks/operator_validator.py | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/libs/python/agent/agent/callbacks/operator_validator.py b/libs/python/agent/agent/callbacks/operator_validator.py index 118ac644..94b81f85 100644 --- a/libs/python/agent/agent/callbacks/operator_validator.py +++ b/libs/python/agent/agent/callbacks/operator_validator.py @@ -7,6 +7,7 @@ Ensures agent output actions conform to expected schemas by fixing common issues - etc. This runs in on_llm_end, which receives the output array (AgentMessage[] as dicts). +The purpose is to avoid spending another LLM call to fix broken computer call syntax when possible. """ from __future__ import annotations @@ -41,6 +42,10 @@ class OperatorNormalizerCallback(AsyncCallbackHandler): action["type"] = "click" if "click" in action and "type" not in action: action["type"] = "click" + if ("scroll_x" in action or "scroll_y" in action) and "type" not in action: + action["type"] = "scroll" + if "text" in action and "type" not in action: + action["type"] = "type" action_type = action.get("type") def _keep_keys(action: Dict[str, Any], keys_to_keep: List[str]): From c4ce791a49f45ea3f5fca8bea4b0ebdae9b4ba77 Mon Sep 17 00:00:00 2001 From: Dillon DuPont Date: Thu, 28 Aug 2025 12:07:56 -0400 Subject: [PATCH 048/103] Update OSWorld output --- notebooks/eval_osworld.ipynb | 4837 ++++++++++++++++++++++++++++++++-- 1 file changed, 4638 insertions(+), 199 deletions(-) diff --git a/notebooks/eval_osworld.ipynb b/notebooks/eval_osworld.ipynb index 3111bbb7..be3ab2ac 100644 --- a/notebooks/eval_osworld.ipynb +++ b/notebooks/eval_osworld.ipynb @@ -165,19 +165,27 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\Users\\dillo\\miniconda3\\envs\\cua\\Lib\\site-packages\\tqdm\\auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + }, { "name": "stdout", "output_type": "stream", "text": [ "\n", - "\u001b[90m╔══════════════════════════════════════════════════════════════════════════════════════════════════╗\u001b[0m\n", - "\u001b[90m║\u001b[0m 🚀 Job 'osworld b4db80 openai/computer-use-preview+anthropic/claude-opus-4-1-20250805' started: \u001b[90m║\u001b[0m\n", - "\u001b[90m╟──────────────────────────────────────────────────────────────────────────────────────────────────╢\u001b[0m\n", - "\u001b[90m║\u001b[0m \u001b[1m\u001b[33mhttps://app.hud.so/jobs/0d10d7d0-2c86-4a5d-a36b-2c28719773cf\u001b[0m \u001b[90m║\u001b[0m\n", - "\u001b[90m╚══════════════════════════════════════════════════════════════════════════════════════════════════╝\u001b[0m\n", + "\u001b[90m╔════════════════════════════════════════════════════════════════════════════════════════════════╗\u001b[0m\n", + "\u001b[90m║\u001b[0m 🚀 Job 'osworld 95557e openai/computer-use-preview+anthropic/claude-opus-4-20250514' started: \u001b[90m║\u001b[0m\n", + "\u001b[90m╟────────────────────────────────────────────────────────────────────────────────────────────────╢\u001b[0m\n", + "\u001b[90m║\u001b[0m \u001b[1m\u001b[33mhttps://app.hud.so/jobs/fe05805d-4da9-4fc6-84b5-5c518528fd3c\u001b[0m \u001b[90m║\u001b[0m\n", + "\u001b[90m╚════════════════════════════════════════════════════════════════════════════════════════════════╝\u001b[0m\n", "\n" ] }, @@ -185,181 +193,1582 @@ "name": "stderr", "output_type": "stream", "text": [ - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "HTTP error from HUD SDK: Request failed with status 500 | URL: https://telemetry.hud.so/v3/api/trace/90bd95ee-8828-4d73-b23e-0655d5c92895/status | Status: 500 | Response: Internal Server Error\n", + "Failed to update task status: Request failed with status 500 | Status: 500 | Response Text: Internal Server Error | Headers: {'content-length': '21', 'content-type': 'text/plain; charset=utf-8', 'date': 'Thu, 28 Aug 2025 01:41:56 GMT', 'server': 'railway-edge', 'x-railway-edge': 'railway/us-east4-eqdc4a', 'x-railway-request-id': 'SrTG3lb9Tz2DtzbEPvyhXg'}\n", "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", " \"error\": {\n", - " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_97cc086a1b58a101f7db3ea88323a12f in your message.\",\n", - " \"type\": \"server_error\",\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_d4262c3d91ef96b8721c9df54914b210 in your message.\",\n", + " \"type\": \"model_error\",\n", " \"param\": null,\n", - " \"code\": \"server_error\"\n", + " \"code\": null\n", " }\n", "}\n", "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_6b658015ea6db41ba54d66eba31b45db in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_06bbaa6f8095dabb844cf19362d3149b in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Step failed: 14 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ick', 'x': 483, 'y': 71}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ick', 'x': 483, 'y': 71}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ick', 'x': 483, 'y': 71}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ick', 'x': 483, 'y': 71}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ick', 'x': 483, 'y': 71}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Step failed: 14 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.type\n", + " Field required [type=missing, input_value={'button': 'left', 'x': 263, 'y': 413}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.type\n", + " Field required [type=missing, input_value={'button': 'left', 'x': 263, 'y': 413}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'button': 'left', 'x': 263, 'y': 413}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Field required [type=missing, input_value={'button': 'left', 'x': 263, 'y': 413}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'button': 'left', 'x': 263, 'y': 413}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Field required [type=missing, input_value={'button': 'left', 'x': 263, 'y': 413}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionMove.type\n", + " Field required [type=missing, input_value={'button': 'left', 'x': 263, 'y': 413}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScreenshot.type\n", + " Field required [type=missing, input_value={'button': 'left', 'x': 263, 'y': 413}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'button': 'left', 'x': 263, 'y': 413}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'button': 'left', 'x': 263, 'y': 413}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Field required [type=missing, input_value={'button': 'left', 'x': 263, 'y': 413}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'button': 'left', 'x': 263, 'y': 413}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Field required [type=missing, input_value={'button': 'left', 'x': 263, 'y': 413}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionWait.type\n", + " Field required [type=missing, input_value={'button': 'left', 'x': 263, 'y': 413}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_f3b814e4931e0ede84f54e5bdda1533c in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 23 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.button\n", + " Field required [type=missing, input_value={}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.type\n", + " Field required [type=missing, input_value={}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.x\n", + " Field required [type=missing, input_value={}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.y\n", + " Field required [type=missing, input_value={}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.type\n", + " Field required [type=missing, input_value={}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.x\n", + " Field required [type=missing, input_value={}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.y\n", + " Field required [type=missing, input_value={}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Field required [type=missing, input_value={}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Field required [type=missing, input_value={}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionMove.type\n", + " Field required [type=missing, input_value={}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionMove.x\n", + " Field required [type=missing, input_value={}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionMove.y\n", + " Field required [type=missing, input_value={}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScreenshot.type\n", + " Field required [type=missing, input_value={}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Field required [type=missing, input_value={}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.x\n", + " Field required [type=missing, input_value={}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.y\n", + " Field required [type=missing, input_value={}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Field required [type=missing, input_value={}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionWait.type\n", + " Field required [type=missing, input_value={}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Got 502 from https://mcp.hud.so/v3/mcp, retrying in 1.0s (attempt 1/3)\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 15 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.button\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 468, 'y': 181}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 468, 'y': 181}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 468, 'y': 181}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 468, 'y': 181}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 468, 'y': 181}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 468, 'y': 181}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_fe2b905d64cf353f8ab3f8126a4820eb in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_6d05bff422b9f3c02258a93e097b8613 in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_1a87012198440d4a2fc6323de8ef6392 in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Got 502 from https://mcp.hud.so/v3/mcp, retrying in 1.0s (attempt 1/3)\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_a56267a4033cd20c08b36218fdc62a34 in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Step failed: 15 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.button\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 656, 'y': 431}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 656, 'y': 431}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 656, 'y': 431}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 656, 'y': 431}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 656, 'y': 431}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 656, 'y': 431}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_93b7d36d3c144a222248ac818d786d44 in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 15 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.button\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 725, 'y': 131}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 725, 'y': 131}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 725, 'y': 131}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 725, 'y': 131}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 725, 'y': 131}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 725, 'y': 131}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Step failed: 15 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.button\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 18, 'y': 94}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.type\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 18, 'y': 94}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.type\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 18, 'y': 94}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 18, 'y': 94}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 18, 'y': 94}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 18, 'y': 94}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 18, 'y': 94}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionMove.type\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 18, 'y': 94}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScreenshot.type\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 18, 'y': 94}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 18, 'y': 94}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 18, 'y': 94}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 18, 'y': 94}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 18, 'y': 94}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 18, 'y': 94}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionWait.type\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 18, 'y': 94}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_8d9f9ba0ea850efc2121c652d3e8da6a in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 14 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 384, 'y': 177}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 384, 'y': 177}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 384, 'y': 177}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 384, 'y': 177}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 384, 'y': 177}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 15 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.button\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 522, 'y': 389}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 522, 'y': 389}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 522, 'y': 389}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 522, 'y': 389}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 522, 'y': 389}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 522, 'y': 389}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_4893b700b6db327725a57b892b537ab2 in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.APIConnectionError: AnthropicException - \n", + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + "\n", + "api.anthropic.com | 520: Web server is returning an unknown error\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
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\n", + " Web server is returning an unknown error\n", + " Error code 520\n", + "

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\n", + " Visit cloudflare.com for more information.\n", + "
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2025-08-28 02:25:27 UTC
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What happened?

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There is an unknown connection issue between Cloudflare and the origin web server. As a result, the web page can not be displayed.

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What can I do?

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If you are a visitor of this website:

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Please try again in a few minutes.

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If you are the owner of this website:

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There is an issue between Cloudflare's cache and your origin web server. Cloudflare monitors for these errors and automatically investigates the cause. To help support the investigation, you can pull the corresponding error log from your web server and submit it our support team. Please include the Ray ID (which is at the bottom of this error page). Additional troubleshooting resources.

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\n", + "\n", + "\n", + "\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_ea5aaf6f523182f18e0f091a9fdd0448 in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_8af625c3a80f744a82b53de2fa170ec4 in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_54dcc566cc9808ad3717a436b5b05eb8 in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 14 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 232, 'y': 132}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 232, 'y': 132}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 232, 'y': 132}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 232, 'y': 132}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 232, 'y': 132}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_dab85c3699d032d81cd81a4701c0d9a0 in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_ef74c41fa05a294694e54bacca43b8e7 in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 13 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.button\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y...500, 'x': 642, 'y': 206}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.type\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y...500, 'x': 642, 'y': 206}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.type\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y...500, 'x': 642, 'y': 206}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y...500, 'x': 642, 'y': 206}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y...500, 'x': 642, 'y': 206}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y...500, 'x': 642, 'y': 206}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y...500, 'x': 642, 'y': 206}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionMove.type\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y...500, 'x': 642, 'y': 206}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScreenshot.type\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y...500, 'x': 642, 'y': 206}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y...500, 'x': 642, 'y': 206}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y...500, 'x': 642, 'y': 206}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y...500, 'x': 642, 'y': 206}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionWait.type\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y...500, 'x': 642, 'y': 206}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Got 502 from https://mcp.hud.so/v3/mcp, retrying in 1.0s (attempt 1/3)\n", + "Step failed: 14 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 458, 'y': 473}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 458, 'y': 473}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 458, 'y': 473}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 458, 'y': 473}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 458, 'y': 473}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 15 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.button\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 908, 'y': 539}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 908, 'y': 539}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 908, 'y': 539}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 908, 'y': 539}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 908, 'y': 539}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 908, 'y': 539}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_e0b87a8685c4005244e3d06efbba8220 in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_3abda4050d3fabf282d5a26545d7a5d0 in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_12ce02ed5d7b007cbd81f458ff55b7c3 in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_8ca73eef0081bfb8e848b7cb8ab91d1f in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 15 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.button\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 968, 'y': 172}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 968, 'y': 172}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 968, 'y': 172}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 968, 'y': 172}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 968, 'y': 172}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 968, 'y': 172}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_40de5c91f10e693a9581d5bbf6fcff8b in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 20 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.button\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y': 100, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='scroll', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionClick.x\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y': 100, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.y\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y': 100, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='scroll', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.x\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y': 100, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.y\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y': 100, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y': 100, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='scroll', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y': 100, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='scroll', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='scroll', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.x\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y': 100, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionMove.y\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y': 100, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='scroll', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.x\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y': 100, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.y\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y': 100, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y': 100, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='scroll', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='scroll', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.APIConnectionError: AnthropicException - Cloudflare encountered an error processing this request: Bad Gateway\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_e6e416cf9120e55f85f61080c8de0c8b in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 15 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.button\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 353, 'y': 75}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 353, 'y': 75}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 353, 'y': 75}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 353, 'y': 75}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 353, 'y': 75}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 353, 'y': 75}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 14 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 317, 'y': 466}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 317, 'y': 466}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 317, 'y': 466}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 317, 'y': 466}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 317, 'y': 466}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_c648a052ea88511e618f86970f55b03a in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_e99451b6d0417ed04f30f4b2081e4dff in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_daefffa7a65d81622f83b3c6668e3dc0 in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 14 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.type\n", + " Field required [type=missing, input_value={'click': 'left', 'button...left', 'x': 82, 'y': 34}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.type\n", + " Field required [type=missing, input_value={'click': 'left', 'button...left', 'x': 82, 'y': 34}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'click': 'left', 'button...left', 'x': 82, 'y': 34}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Field required [type=missing, input_value={'click': 'left', 'button...left', 'x': 82, 'y': 34}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'click': 'left', 'button...left', 'x': 82, 'y': 34}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Field required [type=missing, input_value={'click': 'left', 'button...left', 'x': 82, 'y': 34}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionMove.type\n", + " Field required [type=missing, input_value={'click': 'left', 'button...left', 'x': 82, 'y': 34}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScreenshot.type\n", + " Field required [type=missing, input_value={'click': 'left', 'button...left', 'x': 82, 'y': 34}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'click': 'left', 'button...left', 'x': 82, 'y': 34}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'click': 'left', 'button...left', 'x': 82, 'y': 34}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Field required [type=missing, input_value={'click': 'left', 'button...left', 'x': 82, 'y': 34}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'click': 'left', 'button...left', 'x': 82, 'y': 34}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Field required [type=missing, input_value={'click': 'left', 'button...left', 'x': 82, 'y': 34}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionWait.type\n", + " Field required [type=missing, input_value={'click': 'left', 'button...left', 'x': 82, 'y': 34}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "Step failed: 20 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.button\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y': 5, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='scroll', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionClick.x\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y': 5, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.y\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y': 5, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='scroll', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.x\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y': 5, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.y\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y': 5, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y': 5, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='scroll', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y': 5, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='scroll', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='scroll', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.x\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y': 5, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionMove.y\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y': 5, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='scroll', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.x\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y': 5, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.y\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y': 5, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y': 5, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='scroll', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='scroll', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 21 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.x\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.y\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.x\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.y\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.x\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionMove.y\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.x\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.y\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", "Step failed: 22 validation errors for ResponseComputerToolCall\n", "action.ActionClick.button\n", - " Field required [type=missing, input_value={'keys': 'Tab', 'type': 'keypress'}, input_type=dict]\n", + " Field required [type=missing, input_value={'keys': ['cmd', 'l'], 'keypress': 'keypress'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.type\n", + " Field required [type=missing, input_value={'keys': ['cmd', 'l'], 'keypress': 'keypress'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.x\n", + " Field required [type=missing, input_value={'keys': ['cmd', 'l'], 'keypress': 'keypress'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.y\n", + " Field required [type=missing, input_value={'keys': ['cmd', 'l'], 'keypress': 'keypress'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.type\n", + " Field required [type=missing, input_value={'keys': ['cmd', 'l'], 'keypress': 'keypress'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.x\n", + " Field required [type=missing, input_value={'keys': ['cmd', 'l'], 'keypress': 'keypress'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.y\n", + " Field required [type=missing, input_value={'keys': ['cmd', 'l'], 'keypress': 'keypress'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'keys': ['cmd', 'l'], 'keypress': 'keypress'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Field required [type=missing, input_value={'keys': ['cmd', 'l'], 'keypress': 'keypress'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Field required [type=missing, input_value={'keys': ['cmd', 'l'], 'keypress': 'keypress'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionMove.type\n", + " Field required [type=missing, input_value={'keys': ['cmd', 'l'], 'keypress': 'keypress'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionMove.x\n", + " Field required [type=missing, input_value={'keys': ['cmd', 'l'], 'keypress': 'keypress'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionMove.y\n", + " Field required [type=missing, input_value={'keys': ['cmd', 'l'], 'keypress': 'keypress'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScreenshot.type\n", + " Field required [type=missing, input_value={'keys': ['cmd', 'l'], 'keypress': 'keypress'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'keys': ['cmd', 'l'], 'keypress': 'keypress'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'keys': ['cmd', 'l'], 'keypress': 'keypress'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Field required [type=missing, input_value={'keys': ['cmd', 'l'], 'keypress': 'keypress'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.x\n", + " Field required [type=missing, input_value={'keys': ['cmd', 'l'], 'keypress': 'keypress'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.y\n", + " Field required [type=missing, input_value={'keys': ['cmd', 'l'], 'keypress': 'keypress'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'keys': ['cmd', 'l'], 'keypress': 'keypress'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Field required [type=missing, input_value={'keys': ['cmd', 'l'], 'keypress': 'keypress'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionWait.type\n", + " Field required [type=missing, input_value={'keys': ['cmd', 'l'], 'keypress': 'keypress'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_edb099832d6d97a269f445a50809c93b in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_1b3cd9135846af8b540e23eb46e2fbb4 in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_91af97c24e9aa860be14e9eab94d2fde in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_f2b2983c5c830a7bd102653fd0a028a6 in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 22 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.button\n", + " Field required [type=missing, input_value={'type': 'keypress'}, input_type=dict]\n", " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", "action.ActionClick.type\n", " Input should be 'click' [type=literal_error, input_value='keypress', input_type=str]\n", " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", "action.ActionClick.x\n", - " Field required [type=missing, input_value={'keys': 'Tab', 'type': 'keypress'}, input_type=dict]\n", + " Field required [type=missing, input_value={'type': 'keypress'}, input_type=dict]\n", " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", "action.ActionClick.y\n", - " Field required [type=missing, input_value={'keys': 'Tab', 'type': 'keypress'}, input_type=dict]\n", + " Field required [type=missing, input_value={'type': 'keypress'}, input_type=dict]\n", " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", "action.ActionDoubleClick.type\n", " Input should be 'double_click' [type=literal_error, input_value='keypress', input_type=str]\n", " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", "action.ActionDoubleClick.x\n", - " Field required [type=missing, input_value={'keys': 'Tab', 'type': 'keypress'}, input_type=dict]\n", + " Field required [type=missing, input_value={'type': 'keypress'}, input_type=dict]\n", " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", "action.ActionDoubleClick.y\n", - " Field required [type=missing, input_value={'keys': 'Tab', 'type': 'keypress'}, input_type=dict]\n", + " Field required [type=missing, input_value={'type': 'keypress'}, input_type=dict]\n", " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", "action.ActionDrag.path\n", - " Field required [type=missing, input_value={'keys': 'Tab', 'type': 'keypress'}, input_type=dict]\n", + " Field required [type=missing, input_value={'type': 'keypress'}, input_type=dict]\n", " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", "action.ActionDrag.type\n", " Input should be 'drag' [type=literal_error, input_value='keypress', input_type=str]\n", " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", "action.ActionKeypress.keys\n", - " Input should be a valid list [type=list_type, input_value='Tab', input_type=str]\n", - " For further information visit https://errors.pydantic.dev/2.11/v/list_type\n", + " Field required [type=missing, input_value={'type': 'keypress'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", "action.ActionMove.type\n", " Input should be 'move' [type=literal_error, input_value='keypress', input_type=str]\n", " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", "action.ActionMove.x\n", - " Field required [type=missing, input_value={'keys': 'Tab', 'type': 'keypress'}, input_type=dict]\n", + " Field required [type=missing, input_value={'type': 'keypress'}, input_type=dict]\n", " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", "action.ActionMove.y\n", - " Field required [type=missing, input_value={'keys': 'Tab', 'type': 'keypress'}, input_type=dict]\n", + " Field required [type=missing, input_value={'type': 'keypress'}, input_type=dict]\n", " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", "action.ActionScreenshot.type\n", " Input should be 'screenshot' [type=literal_error, input_value='keypress', input_type=str]\n", " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", "action.ActionScroll.scroll_x\n", - " Field required [type=missing, input_value={'keys': 'Tab', 'type': 'keypress'}, input_type=dict]\n", + " Field required [type=missing, input_value={'type': 'keypress'}, input_type=dict]\n", " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", "action.ActionScroll.scroll_y\n", - " Field required [type=missing, input_value={'keys': 'Tab', 'type': 'keypress'}, input_type=dict]\n", + " Field required [type=missing, input_value={'type': 'keypress'}, input_type=dict]\n", " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", "action.ActionScroll.type\n", " Input should be 'scroll' [type=literal_error, input_value='keypress', input_type=str]\n", " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", "action.ActionScroll.x\n", - " Field required [type=missing, input_value={'keys': 'Tab', 'type': 'keypress'}, input_type=dict]\n", + " Field required [type=missing, input_value={'type': 'keypress'}, input_type=dict]\n", " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", "action.ActionScroll.y\n", - " Field required [type=missing, input_value={'keys': 'Tab', 'type': 'keypress'}, input_type=dict]\n", + " Field required [type=missing, input_value={'type': 'keypress'}, input_type=dict]\n", " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", "action.ActionType.text\n", - " Field required [type=missing, input_value={'keys': 'Tab', 'type': 'keypress'}, input_type=dict]\n", + " Field required [type=missing, input_value={'type': 'keypress'}, input_type=dict]\n", " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", "action.ActionType.type\n", " Input should be 'type' [type=literal_error, input_value='keypress', input_type=str]\n", @@ -369,79 +1778,378 @@ " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 15 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.button\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 392, 'y': 324}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 392, 'y': 324}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 392, 'y': 324}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 392, 'y': 324}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 392, 'y': 324}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 392, 'y': 324}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", " \"error\": {\n", - " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_f7a393a984e7e85dc5845aef8a9471e4 in your message.\",\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_07880876182adfd1c9fb8af49840fbe5 in your message.\",\n", " \"type\": \"model_error\",\n", " \"param\": null,\n", " \"code\": null\n", " }\n", "}\n", "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_171c97f391507972db1c8b55b0026d80 in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_fa514903703f38c748dcde9605a6dbe1 in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_e8ba77d8c521643a7b0789e416e80f98 in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", + "Step failed: 20 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.button\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y': 3, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='scroll', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionClick.x\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y': 3, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.y\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y': 3, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='scroll', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.x\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y': 3, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.y\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y': 3, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y': 3, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='scroll', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y': 3, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='scroll', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='scroll', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.x\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y': 3, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionMove.y\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y': 3, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='scroll', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.x\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y': 3, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.y\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y': 3, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y': 3, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='scroll', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='scroll', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Step failed: 21 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.x\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.y\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.x\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.y\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.x\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionMove.y\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.x\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.y\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Step failed: litellm.InternalServerError: AnthropicError - {\"type\":\"error\",\"error\":{\"type\":\"overloaded_error\",\"message\":\"Overloaded\"},\"request_id\":null}\n", "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Client is not running, cannot disconnect\n", - "Client is not running, cannot disconnect\n", - "Client is not running, cannot disconnect\n", - "Client is not running, cannot disconnect\n", - "Client is not running, cannot disconnect\n", - "Client is not running, cannot disconnect\n", - "Client is not running, cannot disconnect\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Got 502 from https://mcp.hud.so/v3/mcp, retrying in 1.0s (attempt 1/3)\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 22 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.button\n", + " Field required [type=missing, input_value={'keys': ['ctrl'], 'type': 'keyrelease'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='keyrelease', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionClick.x\n", + " Field required [type=missing, input_value={'keys': ['ctrl'], 'type': 'keyrelease'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.y\n", + " Field required [type=missing, input_value={'keys': ['ctrl'], 'type': 'keyrelease'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='keyrelease', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.x\n", + " Field required [type=missing, input_value={'keys': ['ctrl'], 'type': 'keyrelease'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.y\n", + " Field required [type=missing, input_value={'keys': ['ctrl'], 'type': 'keyrelease'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'keys': ['ctrl'], 'type': 'keyrelease'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='keyrelease', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='keyrelease', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='keyrelease', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.x\n", + " Field required [type=missing, input_value={'keys': ['ctrl'], 'type': 'keyrelease'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionMove.y\n", + " Field required [type=missing, input_value={'keys': ['ctrl'], 'type': 'keyrelease'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='keyrelease', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'keys': ['ctrl'], 'type': 'keyrelease'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'keys': ['ctrl'], 'type': 'keyrelease'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='keyrelease', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.x\n", + " Field required [type=missing, input_value={'keys': ['ctrl'], 'type': 'keyrelease'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.y\n", + " Field required [type=missing, input_value={'keys': ['ctrl'], 'type': 'keyrelease'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'keys': ['ctrl'], 'type': 'keyrelease'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='keyrelease', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='keyrelease', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_0b1bc25b68c7036363abf9252af6f4fe in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_e37cd4c1d34010ee9ec8a5e8c5de4336 in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 20 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.button\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y... -300, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='scroll', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionClick.x\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y... -300, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.y\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y... -300, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='scroll', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.x\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y... -300, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.y\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y... -300, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y... -300, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='scroll', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y... -300, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='scroll', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='scroll', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.x\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y... -300, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionMove.y\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y... -300, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='scroll', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.x\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y... -300, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.y\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y... -300, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y... -300, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='scroll', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='scroll', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", @@ -451,45 +2159,2776 @@ "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", - "Error parsing JSON response\n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\dillo\\miniconda3\\envs\\cua\\Lib\\site-packages\\mcp\\client\\streamable_http.py\", line 310, in _handle_json_response\n", - " await read_stream_writer.send(session_message)\n", - " File \"c:\\Users\\dillo\\miniconda3\\envs\\cua\\Lib\\site-packages\\anyio\\streams\\memory.py\", line 242, in send\n", - " self.send_nowait(item)\n", - " File \"c:\\Users\\dillo\\miniconda3\\envs\\cua\\Lib\\site-packages\\anyio\\streams\\memory.py\", line 211, in send_nowait\n", - " raise ClosedResourceError\n", - "anyio.ClosedResourceError\n", - "Request handler error: \n", - "Failed to close auto-created client: \n", - "Error parsing JSON response\n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\dillo\\miniconda3\\envs\\cua\\Lib\\site-packages\\mcp\\client\\streamable_http.py\", line 310, in _handle_json_response\n", - " await read_stream_writer.send(session_message)\n", - " File \"c:\\Users\\dillo\\miniconda3\\envs\\cua\\Lib\\site-packages\\anyio\\streams\\memory.py\", line 242, in send\n", - " self.send_nowait(item)\n", - " File \"c:\\Users\\dillo\\miniconda3\\envs\\cua\\Lib\\site-packages\\anyio\\streams\\memory.py\", line 211, in send_nowait\n", - " raise ClosedResourceError\n", - "anyio.ClosedResourceError\n", - "Request handler error: \n", - "Failed to close auto-created client: \n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_30c460b92c1dd64f81cc1fd271bb3802 in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_d66d2a19da572b66de44e59b2777fd40 in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Got 502 from https://mcp.hud.so/v3/mcp, retrying in 1.0s (attempt 1/3)\n", + "Step failed: 21 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.x\n", + " Field required [type=missing, input_value={'type': 'click', 'button': 'left'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.y\n", + " Field required [type=missing, input_value={'type': 'click', 'button': 'left'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.x\n", + " Field required [type=missing, input_value={'type': 'click', 'button': 'left'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.y\n", + " Field required [type=missing, input_value={'type': 'click', 'button': 'left'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'type': 'click', 'button': 'left'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'type': 'click', 'button': 'left'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.x\n", + " Field required [type=missing, input_value={'type': 'click', 'button': 'left'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionMove.y\n", + " Field required [type=missing, input_value={'type': 'click', 'button': 'left'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'type': 'click', 'button': 'left'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'type': 'click', 'button': 'left'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.x\n", + " Field required [type=missing, input_value={'type': 'click', 'button': 'left'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.y\n", + " Field required [type=missing, input_value={'type': 'click', 'button': 'left'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'type': 'click', 'button': 'left'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_407ca9ac6cc60cf2528ab26d0ebb216a in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 14 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 650, 'y': 137}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 650, 'y': 137}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 650, 'y': 137}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 650, 'y': 137}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 650, 'y': 137}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_eebc630287ffdc99505d68ec452a99a5 in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 15 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.button\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 458, 'y': 285}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 458, 'y': 285}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 458, 'y': 285}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 458, 'y': 285}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 458, 'y': 285}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 458, 'y': 285}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 15 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.button\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 24, 'y': 370}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.type\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 24, 'y': 370}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.type\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 24, 'y': 370}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 24, 'y': 370}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 24, 'y': 370}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 24, 'y': 370}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 24, 'y': 370}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionMove.type\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 24, 'y': 370}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScreenshot.type\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 24, 'y': 370}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 24, 'y': 370}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 24, 'y': 370}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 24, 'y': 370}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 24, 'y': 370}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 24, 'y': 370}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionWait.type\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 24, 'y': 370}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "Step failed: 15 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.button\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 987, 'y': 170}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 987, 'y': 170}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 987, 'y': 170}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 987, 'y': 170}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 987, 'y': 170}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 987, 'y': 170}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 15 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.button\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 614, 'y': 35}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 614, 'y': 35}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 614, 'y': 35}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 614, 'y': 35}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 614, 'y': 35}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 614, 'y': 35}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 22 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.button\n", + " Field required [type=missing, input_value={'type': 'exit', 'text': 'exit'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='exit', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionClick.x\n", + " Field required [type=missing, input_value={'type': 'exit', 'text': 'exit'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.y\n", + " Field required [type=missing, input_value={'type': 'exit', 'text': 'exit'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='exit', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.x\n", + " Field required [type=missing, input_value={'type': 'exit', 'text': 'exit'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.y\n", + " Field required [type=missing, input_value={'type': 'exit', 'text': 'exit'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'type': 'exit', 'text': 'exit'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='exit', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'type': 'exit', 'text': 'exit'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='exit', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='exit', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.x\n", + " Field required [type=missing, input_value={'type': 'exit', 'text': 'exit'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionMove.y\n", + " Field required [type=missing, input_value={'type': 'exit', 'text': 'exit'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='exit', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'type': 'exit', 'text': 'exit'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'type': 'exit', 'text': 'exit'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='exit', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.x\n", + " Field required [type=missing, input_value={'type': 'exit', 'text': 'exit'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.y\n", + " Field required [type=missing, input_value={'type': 'exit', 'text': 'exit'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='exit', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='exit', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_5c53aa95e64ab70c42813298eb1ec717 in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_7ff64c904c8f3851b67717462bfd152f in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_40eae6ea4e0389d5feb6b124f3d12bd1 in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Unclosed client session\n", + "client_session: \n", + "Unclosed client session\n", + "client_session: \n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_5274aa770c5dfdd785fda4df6da6b9de in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 15 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.button\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 647, 'y': 268}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 647, 'y': 268}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 647, 'y': 268}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 647, 'y': 268}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 647, 'y': 268}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 647, 'y': 268}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_ace80396f01199cf1f7b2959db30828f in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_d3fc36b25719a4310c4ef00ee9fb80e2 in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 15 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.button\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 893, 'y': 220}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 893, 'y': 220}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 893, 'y': 220}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 893, 'y': 220}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 893, 'y': 220}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 893, 'y': 220}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 14 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 529, 'y': 242}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 529, 'y': 242}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 529, 'y': 242}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 529, 'y': 242}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 529, 'y': 242}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Got 502 from https://mcp.hud.so/v3/mcp, retrying in 1.0s (attempt 1/3)\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.APIConnectionError: AnthropicException - Cloudflare encountered an error processing this request: Bad Gateway\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_69e1e17a074f2106e7d9f550d06f2129 in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 15 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.button\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 542, 'y': 397}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 542, 'y': 397}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 542, 'y': 397}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 542, 'y': 397}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 542, 'y': 397}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 542, 'y': 397}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_e4cfa4d5e4d1c7a29abf1e99bdf13d4c in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 14 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ick', 'x': 266, 'y': 65}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ick', 'x': 266, 'y': 65}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ick', 'x': 266, 'y': 65}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ick', 'x': 266, 'y': 65}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ick', 'x': 266, 'y': 65}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_0de88e377d3e016333e75cbb721467d5 in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_6a72d8198557e585b311fc2f574c06ae in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_565b6f653b140a9f9616812bca9bede4 in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 21 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.x\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.y\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.x\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.y\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.x\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionMove.y\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.x\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.y\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"api_error\",\"message\":\"Internal server error\"},\"request_id\":\"req_011CSZXyZhhMMUkqx5Rn49nH\"}. Handle with `litellm.InternalServerError`.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_ca61663ebdf6a23abe76f8a623e9cba7 in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_19b4c7cbfd607aceb64225a211bcb63c in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 21 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.x\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.y\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.x\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.y\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.x\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionMove.y\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.x\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.y\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_f5a55c799f314865c754e9ef2085d6aa in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Step failed: 15 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.button\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 566, 'y': 106}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 566, 'y': 106}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 566, 'y': 106}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 566, 'y': 106}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 566, 'y': 106}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 566, 'y': 106}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_75d03c61c6f4b25a20022c405da92f3e in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.ServiceUnavailableError: AnthropicException - upstream connect error or disconnect/reset before headers. reset reason: connection termination. Handle with `litellm.ServiceUnavailableError`.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 14 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 449, 'y': 287}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 449, 'y': 287}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 449, 'y': 287}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 449, 'y': 287}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 449, 'y': 287}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_864eb3e72deacbac1273d63ec1300d63 in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_6e9676b4bf46acb690f7f03e5000c774 in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 15 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.button\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 318, 'y': 428}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 318, 'y': 428}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 318, 'y': 428}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 318, 'y': 428}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 318, 'y': 428}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 318, 'y': 428}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 21 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.x\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.y\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.x\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.y\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.x\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionMove.y\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.x\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.y\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 14 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ick', 'x': 489, 'y': 37}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ick', 'x': 489, 'y': 37}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ick', 'x': 489, 'y': 37}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ick', 'x': 489, 'y': 37}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ick', 'x': 489, 'y': 37}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_aff343428a6d53531e2e7e53961a08a1 in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 15 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.button\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 264, 'y': 458}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 264, 'y': 458}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 264, 'y': 458}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 264, 'y': 458}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 264, 'y': 458}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 264, 'y': 458}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_62d62a7d978a743da6e34251ab321b6b in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_91ef10c85551d3461eb078f9a9fab016 in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 15 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.button\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 307, 'y': 231}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 307, 'y': 231}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 307, 'y': 231}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 307, 'y': 231}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 307, 'y': 231}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 307, 'y': 231}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_d34610618a89b212bd65cab09d37ffce in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_e0724c94603820eeee26337000c7f280 in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_d5e422c31b3ba5e42c1693877282b13c in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Got 502 from https://mcp.hud.so/v3/mcp, retrying in 1.0s (attempt 1/3)\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Got 502 from https://mcp.hud.so/v3/mcp, retrying in 1.0s (attempt 1/3)\n", + "Step failed: 14 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 263, 'y': 351}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 263, 'y': 351}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 263, 'y': 351}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 263, 'y': 351}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 263, 'y': 351}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: OpenAIException - \n", + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + "\n", + "api.openai.com | 520: Web server is returning an unknown error\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
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\n", + " Web server is returning an unknown error\n", + " Error code 520\n", + "

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2025-08-28 06:05:09 UTC
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\n", + "\n", + "\n", + "\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_731a2b625462c9d2d582d1053510b6d7 in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_ff2d8a59b90db337014147e1d007bd48 in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 20 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.button\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y... -800, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='scroll', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionClick.x\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y... -800, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.y\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y... -800, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='scroll', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.x\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y... -800, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.y\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y... -800, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y... -800, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='scroll', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y... -800, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='scroll', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='scroll', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.x\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y... -800, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionMove.y\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y... -800, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='scroll', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.x\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y... -800, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.y\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y... -800, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'scroll_x': 0, 'scroll_y... -800, 'type': 'scroll'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='scroll', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='scroll', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 14 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 710, 'y': 429}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 710, 'y': 429}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 710, 'y': 429}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 710, 'y': 429}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 710, 'y': 429}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_a0d2cc3868d537a5f9fbe2594ff3111b in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 15 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.button\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 624, 'y': 364}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 624, 'y': 364}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 624, 'y': 364}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 624, 'y': 364}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 624, 'y': 364}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 624, 'y': 364}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 14 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 654, 'y': 136}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 654, 'y': 136}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 654, 'y': 136}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 654, 'y': 136}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 654, 'y': 136}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 15 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.button\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 510, 'y': 372}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 510, 'y': 372}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 510, 'y': 372}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 510, 'y': 372}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 510, 'y': 372}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 510, 'y': 372}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 21 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.x\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.y\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.x\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.y\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.x\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionMove.y\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.x\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.y\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 23 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.button\n", + " Field required [type=missing, input_value={'action': ''}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.type\n", + " Field required [type=missing, input_value={'action': ''}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.x\n", + " Field required [type=missing, input_value={'action': ''}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.y\n", + " Field required [type=missing, input_value={'action': ''}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.type\n", + " Field required [type=missing, input_value={'action': ''}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.x\n", + " Field required [type=missing, input_value={'action': ''}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.y\n", + " Field required [type=missing, input_value={'action': ''}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'action': ''}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Field required [type=missing, input_value={'action': ''}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'action': ''}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Field required [type=missing, input_value={'action': ''}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionMove.type\n", + " Field required [type=missing, input_value={'action': ''}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionMove.x\n", + " Field required [type=missing, input_value={'action': ''}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionMove.y\n", + " Field required [type=missing, input_value={'action': ''}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScreenshot.type\n", + " Field required [type=missing, input_value={'action': ''}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'action': ''}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'action': ''}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Field required [type=missing, input_value={'action': ''}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.x\n", + " Field required [type=missing, input_value={'action': ''}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.y\n", + " Field required [type=missing, input_value={'action': ''}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'action': ''}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Field required [type=missing, input_value={'action': ''}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionWait.type\n", + " Field required [type=missing, input_value={'action': ''}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_7cede1574442edf20721264e92def0e5 in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_01ffb88ba8ce9674981142a95e74d761 in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_66612b5bdb381864a8d969606cef24ae in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_8e8f0499e19ab802c3bb846c1760b91f in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 15 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.button\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 373, 'y': 390}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.type\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 373, 'y': 390}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.type\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 373, 'y': 390}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 373, 'y': 390}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 373, 'y': 390}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 373, 'y': 390}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 373, 'y': 390}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionMove.type\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 373, 'y': 390}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScreenshot.type\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 373, 'y': 390}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 373, 'y': 390}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 373, 'y': 390}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 373, 'y': 390}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 373, 'y': 390}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 373, 'y': 390}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionWait.type\n", + " Field required [type=missing, input_value={'click': 'left', 'x': 373, 'y': 390}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_94e02af05e07b713a323768e11e50240 in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_c1976117ae2105b15f03270251e60d7e in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 15 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.button\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 282, 'y': 274}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 282, 'y': 274}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 282, 'y': 274}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 282, 'y': 274}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 282, 'y': 274}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 282, 'y': 274}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool execution failed: Tool call failed: (-32600, 'Invalid Request')\n", + "Evaluation phase failed: [MCPToolResult(meta=None, content=[TextContent(type='text', text=\"Tool call failed: (-32600, 'Invalid Request')\", annotations=None, meta=None)], structuredContent=None, isError=True)]\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_e75ae0b9d7688b63d8b19a90bc12c66f in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_213c31db0a325578b61cc609a035fe6c in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Step failed: 15 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.button\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 474, 'y': 434}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 474, 'y': 434}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 474, 'y': 434}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 474, 'y': 434}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 474, 'y': 434}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 474, 'y': 434}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 14 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ick', 'x': 217, 'y': 66}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ick', 'x': 217, 'y': 66}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ick', 'x': 217, 'y': 66}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ick', 'x': 217, 'y': 66}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ick', 'x': 217, 'y': 66}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_b18b0c5c4b7fa1ecdf2a38138795e4db in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 14 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 462, 'y': 129}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 462, 'y': 129}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 462, 'y': 129}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 462, 'y': 129}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 462, 'y': 129}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 14 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 462, 'y': 424}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 462, 'y': 424}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 462, 'y': 424}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 462, 'y': 424}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 462, 'y': 424}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Step failed: 15 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.button\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 271, 'y': 234}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 271, 'y': 234}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 271, 'y': 234}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 271, 'y': 234}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 271, 'y': 234}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 271, 'y': 234}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 15 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.button\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 407, 'y': 397}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 407, 'y': 397}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 407, 'y': 397}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 407, 'y': 397}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 407, 'y': 397}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 407, 'y': 397}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 15 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.button\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 360, 'y': 200}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 360, 'y': 200}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 360, 'y': 200}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 360, 'y': 200}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 360, 'y': 200}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 360, 'y': 200}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 15 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.button\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 881, 'y': 579}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 881, 'y': 579}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 881, 'y': 579}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 881, 'y': 579}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 881, 'y': 579}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'type': 'triple_click', 'x': 881, 'y': 579}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 14 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 444, 'y': 472}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 444, 'y': 472}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 444, 'y': 472}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 444, 'y': 472}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 444, 'y': 472}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 14 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.type\n", + " Input should be 'click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 536, 'y': 240}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 536, 'y': 240}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 536, 'y': 240}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 536, 'y': 240}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'button': 'left', 'type'...ck', 'x': 536, 'y': 240}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='triple_click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_99932258b791a5b87203ab08daabc63d in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: 21 validation errors for ResponseComputerToolCall\n", + "action.ActionClick.x\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionClick.y\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.type\n", + " Input should be 'double_click' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionDoubleClick.x\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDoubleClick.y\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.path\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionDrag.type\n", + " Input should be 'drag' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionKeypress.keys\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionKeypress.type\n", + " Input should be 'keypress' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.type\n", + " Input should be 'move' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionMove.x\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionMove.y\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScreenshot.type\n", + " Input should be 'screenshot' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.scroll_x\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.scroll_y\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.type\n", + " Input should be 'scroll' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionScroll.x\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionScroll.y\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.text\n", + " Field required [type=missing, input_value={'button': 'left', 'type': 'click'}, input_type=dict]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/missing\n", + "action.ActionType.type\n", + " Input should be 'type' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "action.ActionWait.type\n", + " Input should be 'wait' [type=literal_error, input_value='click', input_type=str]\n", + " For further information visit https://errors.pydantic.dev/2.11/v/literal_error\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_362f0f22e6cf3e4d7b4beb474c63be5e in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: [Errno 28] No space left on device\n", + "Step failed: [Errno 28] No space left on device\n", + "Step failed: [Errno 28] No space left on device\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: [Errno 28] No space left on device\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: [Errno 28] No space left on device\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: litellm.InternalServerError: InternalServerError: OpenAIException - {\n", + " \"error\": {\n", + " \"message\": \"An error occurred while processing your request. You can retry your request, or contact us through our help center at help.openai.com if the error persists. Please include the request ID req_bd3347660b6e1902a36bbdbb20874e62 in your message.\",\n", + " \"type\": \"model_error\",\n", + " \"param\": null,\n", + " \"code\": null\n", + " }\n", + "}\n", + "Step failed: [Errno 28] No space left on device\n", + "Step failed: [Errno 28] No space left on device\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: [Errno 28] No space left on device\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", + "Step failed: [Errno 28] No space left on device\n", + "Step failed: [Errno 28] No space left on device: 'trajectories\\\\osworld_95557e\\\\2025-08-28_open_claude-opus-4-20_032836_c76d\\\\turn_000\\\\0002_agent_response.json'\n", + "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n", "Tool evaluate has an output schema but did not return structured content. Continuing without structured content validation.\n" ] }, { - "ename": "CancelledError", - "evalue": "", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mCancelledError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[7], line 14\u001b[0m\n\u001b[0;32m 11\u001b[0m job_uuid \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mstr\u001b[39m(uuid\u001b[38;5;241m.\u001b[39muuid4())[:\u001b[38;5;241m6\u001b[39m]\n\u001b[0;32m 12\u001b[0m job_name \u001b[38;5;241m=\u001b[39m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mosworld \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mjob_uuid\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmodel\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m---> 14\u001b[0m results \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mawait\u001b[39;00m run_full_dataset(\n\u001b[0;32m 15\u001b[0m dataset\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhud-evals/OSWorld-Verified-XLang\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m 16\u001b[0m job_name\u001b[38;5;241m=\u001b[39mjob_name, \n\u001b[0;32m 17\u001b[0m model\u001b[38;5;241m=\u001b[39mmodel,\n\u001b[0;32m 18\u001b[0m max_concurrent\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m30\u001b[39m, \n\u001b[0;32m 19\u001b[0m max_steps\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m75\u001b[39m,\n\u001b[0;32m 20\u001b[0m trajectory_dir\u001b[38;5;241m=\u001b[39m\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtrajectories/osworld_\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mjob_uuid\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m 21\u001b[0m )\n\u001b[0;32m 23\u001b[0m \u001b[38;5;66;03m# results is a list from hud.datasets.run_dataset; inspect/aggregate as needed\u001b[39;00m\n\u001b[0;32m 24\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mJob: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mjob_name\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n", - "File \u001b[1;32mF:\\Projects\\cua\\cua-clean\\libs\\python\\agent\\agent\\integrations\\hud\\__init__.py:134\u001b[0m, in \u001b[0;36mrun_full_dataset\u001b[1;34m(dataset, job_name, model, allowed_tools, max_concurrent, max_steps, split, trajectory_dir)\u001b[0m\n\u001b[0;32m 131\u001b[0m job_name \u001b[38;5;241m=\u001b[39m job_name \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mEvaluation \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mtime\u001b[38;5;241m.\u001b[39mstrftime(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m%\u001b[39m\u001b[38;5;124mH:\u001b[39m\u001b[38;5;124m%\u001b[39m\u001b[38;5;124mM \u001b[39m\u001b[38;5;124m%\u001b[39m\u001b[38;5;124mY-\u001b[39m\u001b[38;5;124m%\u001b[39m\u001b[38;5;124mm-\u001b[39m\u001b[38;5;132;01m%d\u001b[39;00m\u001b[38;5;124m'\u001b[39m)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 133\u001b[0m \u001b[38;5;66;03m# Execute evaluation\u001b[39;00m\n\u001b[1;32m--> 134\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mawait\u001b[39;00m run_dataset(\n\u001b[0;32m 135\u001b[0m name\u001b[38;5;241m=\u001b[39mjob_name,\n\u001b[0;32m 136\u001b[0m dataset\u001b[38;5;241m=\u001b[39mdataset,\n\u001b[0;32m 137\u001b[0m agent_class\u001b[38;5;241m=\u001b[39mProxyOperatorAgent,\n\u001b[0;32m 138\u001b[0m agent_config\u001b[38;5;241m=\u001b[39m{\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmodel\u001b[39m\u001b[38;5;124m\"\u001b[39m: model, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mallowed_tools\u001b[39m\u001b[38;5;124m\"\u001b[39m: allowed_tools, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtrajectory_dir\u001b[39m\u001b[38;5;124m\"\u001b[39m: trajectory_dir},\n\u001b[0;32m 139\u001b[0m max_concurrent\u001b[38;5;241m=\u001b[39mmax_concurrent,\n\u001b[0;32m 140\u001b[0m metadata\u001b[38;5;241m=\u001b[39m{\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdataset\u001b[39m\u001b[38;5;124m\"\u001b[39m: dataset_name},\n\u001b[0;32m 141\u001b[0m max_steps\u001b[38;5;241m=\u001b[39mmax_steps,\n\u001b[0;32m 142\u001b[0m auto_respond\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m,\n\u001b[0;32m 143\u001b[0m )\n", - "File \u001b[1;32mc:\\Users\\dillo\\miniconda3\\envs\\cua\\Lib\\site-packages\\hud\\datasets.py:262\u001b[0m, in \u001b[0;36mrun_dataset\u001b[1;34m(name, dataset, agent_class, agent_config, max_concurrent, metadata, max_steps, split, auto_respond, custom_system_prompt)\u001b[0m\n\u001b[0;32m 259\u001b[0m results[index] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mawait\u001b[39;00m agent\u001b[38;5;241m.\u001b[39mrun(task, max_steps\u001b[38;5;241m=\u001b[39mmax_steps)\n\u001b[0;32m 261\u001b[0m \u001b[38;5;66;03m# Execute all tasks\u001b[39;00m\n\u001b[1;32m--> 262\u001b[0m \u001b[38;5;28;01mawait\u001b[39;00m asyncio\u001b[38;5;241m.\u001b[39mgather(\n\u001b[0;32m 263\u001b[0m \u001b[38;5;241m*\u001b[39m[_worker(i, task, max_steps\u001b[38;5;241m=\u001b[39mmax_steps) \u001b[38;5;28;01mfor\u001b[39;00m i, task \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28menumerate\u001b[39m(dataset)],\n\u001b[0;32m 264\u001b[0m return_exceptions\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m, \u001b[38;5;66;03m# Don't fail entire batch on one error\u001b[39;00m\n\u001b[0;32m 265\u001b[0m )\n\u001b[0;32m 267\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m results\n", - "File \u001b[1;32mc:\\Users\\dillo\\miniconda3\\envs\\cua\\Lib\\site-packages\\hud\\datasets.py:246\u001b[0m, in \u001b[0;36mrun_dataset.._worker\u001b[1;34m(index, task_dict, max_steps)\u001b[0m\n\u001b[0;32m 245\u001b[0m \u001b[38;5;28;01masync\u001b[39;00m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21m_worker\u001b[39m(index: \u001b[38;5;28mint\u001b[39m, task_dict: Any, max_steps: \u001b[38;5;28mint\u001b[39m \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m40\u001b[39m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m--> 246\u001b[0m \u001b[38;5;28;01masync\u001b[39;00m \u001b[38;5;28;01mwith\u001b[39;00m sem:\n\u001b[0;32m 247\u001b[0m \u001b[38;5;66;03m# Create trace for this task\u001b[39;00m\n\u001b[0;32m 248\u001b[0m task_name \u001b[38;5;241m=\u001b[39m task_dict\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mprompt\u001b[39m\u001b[38;5;124m\"\u001b[39m) \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mTask \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mindex\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 249\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msystem_prompt\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m task_dict:\n", - "File \u001b[1;32mc:\\Users\\dillo\\miniconda3\\envs\\cua\\Lib\\asyncio\\locks.py:14\u001b[0m, in \u001b[0;36m_ContextManagerMixin.__aenter__\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 13\u001b[0m \u001b[38;5;28;01masync\u001b[39;00m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21m__aenter__\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[1;32m---> 14\u001b[0m \u001b[38;5;28;01mawait\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39macquire()\n\u001b[0;32m 15\u001b[0m \u001b[38;5;66;03m# We have no use for the \"as ...\" clause in the with\u001b[39;00m\n\u001b[0;32m 16\u001b[0m \u001b[38;5;66;03m# statement for locks.\u001b[39;00m\n\u001b[0;32m 17\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n", - "File \u001b[1;32mc:\\Users\\dillo\\miniconda3\\envs\\cua\\Lib\\asyncio\\locks.py:386\u001b[0m, in \u001b[0;36mSemaphore.acquire\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 384\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m 385\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m--> 386\u001b[0m \u001b[38;5;28;01mawait\u001b[39;00m fut\n\u001b[0;32m 387\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[0;32m 388\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_waiters\u001b[38;5;241m.\u001b[39mremove(fut)\n", - "\u001b[1;31mCancelledError\u001b[0m: " + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "\u001b[92m✓ Job 'osworld 95557e openai/computer-use-preview+anthropic/claude-opus-4-20250514' complete!\u001b[0m \u001b[2mView all results at:\u001b[0m \u001b[1m\u001b[33mhttps://app.hud.so/jobs/fe05805d-4da9-4fc6-84b5-5c518528fd3c\u001b[0m\n", + "\n", + "Job: osworld 95557e openai/computer-use-preview+anthropic/claude-opus-4-20250514\n", + "Total results: 369\n" ] } ], From e90997c4ff5ced5072bd6ba70a8a05b3ad63ffb3 Mon Sep 17 00:00:00 2001 From: Dillon DuPont Date: Thu, 28 Aug 2025 13:18:17 -0400 Subject: [PATCH 049/103] Added screenshot_dir and lazy loading of MLX --- .../agent/agent/adapters/mlxvlm_adapter.py | 5 +- libs/python/agent/agent/agent.py | 8 +- .../agent/agent/callbacks/trajectory_saver.py | 88 +++++++++++++++++-- .../agent/agent/integrations/hud/__init__.py | 6 +- 4 files changed, 95 insertions(+), 12 deletions(-) diff --git a/libs/python/agent/agent/adapters/mlxvlm_adapter.py b/libs/python/agent/agent/adapters/mlxvlm_adapter.py index c38f4ad6..8255725b 100644 --- a/libs/python/agent/agent/adapters/mlxvlm_adapter.py +++ b/libs/python/agent/agent/adapters/mlxvlm_adapter.py @@ -78,8 +78,6 @@ class MLXVLMAdapter(CustomLLM): **kwargs: Additional arguments """ super().__init__() - if not MLX_AVAILABLE: - raise ImportError("MLX VLM dependencies not available. Please install mlx-vlm.") self.models = {} # Cache for loaded models self.processors = {} # Cache for loaded processors @@ -95,6 +93,9 @@ class MLXVLMAdapter(CustomLLM): Returns: Tuple of (model, processor, config) """ + if not MLX_AVAILABLE: + raise ImportError("MLX VLM dependencies not available. Please install mlx-vlm.") + if model_name not in self.models: # Load model and processor model_obj, processor = load( diff --git a/libs/python/agent/agent/agent.py b/libs/python/agent/agent/agent.py index 361a3549..f7ba6418 100644 --- a/libs/python/agent/agent/agent.py +++ b/libs/python/agent/agent/agent.py @@ -3,6 +3,7 @@ ComputerAgent - Main agent class that selects and runs agent loops """ import asyncio +from pathlib import Path from typing import Dict, List, Any, Optional, AsyncGenerator, Union, cast, Callable, Set, Tuple from litellm.responses.utils import Usage @@ -162,7 +163,7 @@ class ComputerAgent: only_n_most_recent_images: Optional[int] = None, callbacks: Optional[List[Any]] = None, verbosity: Optional[int] = None, - trajectory_dir: Optional[str] = None, + trajectory_dir: Optional[str | Path | dict] = None, max_retries: Optional[int] = 3, screenshot_delay: Optional[float | int] = 0.5, use_prompt_caching: Optional[bool] = False, @@ -223,7 +224,10 @@ class ComputerAgent: # Add trajectory saver callback if trajectory_dir is set if self.trajectory_dir: - self.callbacks.append(TrajectorySaverCallback(self.trajectory_dir)) + if isinstance(self.trajectory_dir, dict): + self.callbacks.append(TrajectorySaverCallback(**self.trajectory_dir)) + elif isinstance(self.trajectory_dir, (str, Path)): + self.callbacks.append(TrajectorySaverCallback(str(self.trajectory_dir))) # Add budget manager if max_trajectory_budget is set if max_trajectory_budget: diff --git a/libs/python/agent/agent/callbacks/trajectory_saver.py b/libs/python/agent/agent/callbacks/trajectory_saver.py index 53e4c189..a65722aa 100644 --- a/libs/python/agent/agent/callbacks/trajectory_saver.py +++ b/libs/python/agent/agent/callbacks/trajectory_saver.py @@ -11,6 +11,8 @@ from pathlib import Path from typing import List, Dict, Any, Optional, Union, override from PIL import Image, ImageDraw import io +from copy import deepcopy + from .base import AsyncCallbackHandler def sanitize_image_urls(data: Any) -> Any: @@ -43,6 +45,64 @@ def sanitize_image_urls(data: Any) -> Any: return data +def extract_computer_call_outputs(items: List[Dict[str, Any]], screenshot_dir: Optional[Path]) -> List[Dict[str, Any]]: + """ + Save any base64-encoded screenshots from computer_call_output entries to files and + replace their image_url with the saved file path when a call_id is present. + + Only operates if screenshot_dir is provided and exists; otherwise returns items unchanged. + + Args: + items: List of message/result dicts potentially containing computer_call_output entries + screenshot_dir: Directory to write screenshots into + + Returns: + A new list with updated image_url fields when applicable. + """ + if not items: + return items + if not screenshot_dir or not screenshot_dir.exists(): + return items + + updated: List[Dict[str, Any]] = [] + for item in items: + # work on a shallow copy; deep copy nested 'output' if we modify it + msg = dict(item) + try: + if msg.get("type") == "computer_call_output": + call_id = msg.get("call_id") + output = msg.get("output", {}) + image_url = output.get("image_url") + if call_id and isinstance(image_url, str) and image_url.startswith("data:"): + # derive extension from MIME type e.g. data:image/png;base64, + try: + ext = image_url.split(";", 1)[0].split("/")[-1] + if not ext: + ext = "png" + except Exception: + ext = "png" + out_path = screenshot_dir / f"{call_id}.{ext}" + # write file if it doesn't exist + if not out_path.exists(): + try: + b64_payload = image_url.split(",", 1)[1] + img_bytes = base64.b64decode(b64_payload) + out_path.parent.mkdir(parents=True, exist_ok=True) + with open(out_path, "wb") as f: + f.write(img_bytes) + except Exception: + # if anything fails, skip modifying this message + pass + # update image_url to file path + new_output = dict(output) + new_output["image_url"] = str(out_path) + msg["output"] = new_output + except Exception: + # do not block on malformed entries; keep original + pass + updated.append(msg) + return updated + class TrajectorySaverCallback(AsyncCallbackHandler): """ Callback handler that saves agent trajectories to disk. @@ -51,7 +111,7 @@ class TrajectorySaverCallback(AsyncCallbackHandler): within the trajectory gets its own folder with screenshots and responses. """ - def __init__(self, trajectory_dir: str, reset_on_run: bool = True): + def __init__(self, trajectory_dir: str, reset_on_run: bool = True, screenshot_dir: Optional[str] = None): """ Initialize trajectory saver. @@ -67,10 +127,12 @@ class TrajectorySaverCallback(AsyncCallbackHandler): self.model: Optional[str] = None self.total_usage: Dict[str, Any] = {} self.reset_on_run = reset_on_run + # Optional directory to store extracted screenshots from metadata/new_items + self.screenshot_dir: Optional[Path] = Path(screenshot_dir) if screenshot_dir else None # Ensure trajectory directory exists self.trajectory_dir.mkdir(parents=True, exist_ok=True) - + def _get_turn_dir(self) -> Path: """Get the directory for the current turn.""" if not self.trajectory_id: @@ -139,12 +201,21 @@ class TrajectorySaverCallback(AsyncCallbackHandler): trajectory_path = self.trajectory_dir / self.trajectory_id trajectory_path.mkdir(parents=True, exist_ok=True) - # Save trajectory metadata + # Save trajectory metadata (optionally extract screenshots to screenshot_dir) + kwargs_to_save = kwargs.copy() + try: + if "messages" in kwargs_to_save: + kwargs_to_save["messages"] = extract_computer_call_outputs( + kwargs_to_save["messages"], self.screenshot_dir + ) + except Exception: + # If extraction fails, fall back to original messages + pass metadata = { "trajectory_id": self.trajectory_id, "created_at": str(uuid.uuid1().time), "status": "running", - "kwargs": kwargs, + "kwargs": kwargs_to_save, } with open(trajectory_path / "metadata.json", "w") as f: @@ -171,11 +242,18 @@ class TrajectorySaverCallback(AsyncCallbackHandler): metadata = {} # Update metadata with completion info + # Optionally extract screenshots from new_items before persisting + new_items_to_save = new_items + try: + new_items_to_save = extract_computer_call_outputs(new_items, self.screenshot_dir) + except Exception: + pass + metadata.update({ "status": "completed", "completed_at": str(uuid.uuid1().time), "total_usage": self.total_usage, - "new_items": new_items, + "new_items": new_items_to_save, "total_turns": self.current_turn }) diff --git a/libs/python/agent/agent/integrations/hud/__init__.py b/libs/python/agent/agent/integrations/hud/__init__.py index 21695026..0da87bfa 100644 --- a/libs/python/agent/agent/integrations/hud/__init__.py +++ b/libs/python/agent/agent/integrations/hud/__init__.py @@ -41,7 +41,7 @@ class ProxyOperatorAgent(OperatorAgent): *, model: str | None = None, allowed_tools: list[str] | None = None, - trajectory_dir: str | None = None, + trajectory_dir: str | dict | None = None, # === ComputerAgent kwargs === tools: list[Any] | None = None, custom_loop: Any | None = None, @@ -109,7 +109,7 @@ async def run_single_task( only_n_most_recent_images: int | None = None, callbacks: list[Any] | None = None, verbosity: int | None = None, - trajectory_dir: str | None = None, + trajectory_dir: str | dict | None = None, max_retries: int | None = 3, screenshot_delay: float | int = 0.5, use_prompt_caching: bool | None = False, @@ -167,7 +167,7 @@ async def run_full_dataset( max_concurrent: int = 30, max_steps: int = 50, split: str = "train", - trajectory_dir: str | None = None, + trajectory_dir: str | dict | None = None, # === ComputerAgent kwargs === tools: list[Any] | None = None, custom_loop: Any | None = None, From b7cbac31a0f4fbfbda262a42f02cf6873a852b37 Mon Sep 17 00:00:00 2001 From: Dillon DuPont Date: Thu, 28 Aug 2025 16:39:43 -0400 Subject: [PATCH 050/103] Added grounding model fallback --- libs/python/agent/agent/agent.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/libs/python/agent/agent/agent.py b/libs/python/agent/agent/agent.py index f7ba6418..8d6279fb 100644 --- a/libs/python/agent/agent/agent.py +++ b/libs/python/agent/agent/agent.py @@ -253,6 +253,10 @@ class ComputerAgent: # == Initialize computer agent == + # If the loop is "human/human", we need to prefix a grounding model fallback + if self.agent_loop in ["human/human", "human"]: + self.agent_loop = "openai/computer-use-preview+human/human" + # Find the appropriate agent loop if custom_loop: self.agent_loop = custom_loop From 22160433051086f2945f6b94db89e29b6459d922 Mon Sep 17 00:00:00 2001 From: Dillon DuPont Date: Thu, 28 Aug 2025 16:50:38 -0400 Subject: [PATCH 051/103] Fixed bug in init --- libs/python/agent/agent/agent.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/libs/python/agent/agent/agent.py b/libs/python/agent/agent/agent.py index 8d6279fb..8120109d 100644 --- a/libs/python/agent/agent/agent.py +++ b/libs/python/agent/agent/agent.py @@ -254,8 +254,8 @@ class ComputerAgent: # == Initialize computer agent == # If the loop is "human/human", we need to prefix a grounding model fallback - if self.agent_loop in ["human/human", "human"]: - self.agent_loop = "openai/computer-use-preview+human/human" + if model in ["human/human", "human"]: + model = "openai/computer-use-preview+human/human" # Find the appropriate agent loop if custom_loop: From 038ad4df10cbd43ffe431dae9096b482e053bca2 Mon Sep 17 00:00:00 2001 From: Dillon DuPont Date: Thu, 28 Aug 2025 16:55:28 -0400 Subject: [PATCH 052/103] Force default model for human-in-the-loop --- libs/python/agent/agent/agent.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/libs/python/agent/agent/agent.py b/libs/python/agent/agent/agent.py index 8120109d..b796866d 100644 --- a/libs/python/agent/agent/agent.py +++ b/libs/python/agent/agent/agent.py @@ -188,7 +188,11 @@ class ComputerAgent: max_trajectory_budget: If set, adds BudgetManagerCallback to track usage costs and stop when budget is exceeded telemetry_enabled: If set, adds TelemetryCallback to track anonymized usage data. Enabled by default. **kwargs: Additional arguments passed to the agent loop - """ + """ + # If the loop is "human/human", we need to prefix a grounding model fallback + if model in ["human/human", "human"]: + model = "openai/computer-use-preview+human/human" + self.model = model self.tools = tools or [] self.custom_loop = custom_loop @@ -253,10 +257,6 @@ class ComputerAgent: # == Initialize computer agent == - # If the loop is "human/human", we need to prefix a grounding model fallback - if model in ["human/human", "human"]: - model = "openai/computer-use-preview+human/human" - # Find the appropriate agent loop if custom_loop: self.agent_loop = custom_loop From ab359f6d14a1df2e233876e02b23cbbaefe1c896 Mon Sep 17 00:00:00 2001 From: Andrei Onel Date: Thu, 28 Aug 2025 23:56:46 +0300 Subject: [PATCH 053/103] Added reference documentation for: libs/python/computer/computer/diorama_computer.py --- .../computer/computer/diorama_computer.py | 139 ++++++++++++++++++ 1 file changed, 139 insertions(+) diff --git a/libs/python/computer/computer/diorama_computer.py b/libs/python/computer/computer/diorama_computer.py index 2eee77f0..da67c72c 100644 --- a/libs/python/computer/computer/diorama_computer.py +++ b/libs/python/computer/computer/diorama_computer.py @@ -6,16 +6,35 @@ class DioramaComputer: A Computer-compatible proxy for Diorama that sends commands over the ComputerInterface. """ def __init__(self, computer, apps): + """ + Initialize the DioramaComputer with a computer instance and list of apps. + + Args: + computer: The computer instance to proxy commands through + apps: List of applications available in the diorama environment + """ self.computer = computer self.apps = apps self.interface = DioramaComputerInterface(computer, apps) self._initialized = False async def __aenter__(self): + """ + Async context manager entry point. + + Returns: + self: The DioramaComputer instance + """ self._initialized = True return self async def run(self): + """ + Initialize and run the DioramaComputer if not already initialized. + + Returns: + self: The DioramaComputer instance + """ if not self._initialized: await self.__aenter__() return self @@ -25,11 +44,31 @@ class DioramaComputerInterface: Diorama Interface proxy that sends diorama_cmds via the Computer's interface. """ def __init__(self, computer, apps): + """ + Initialize the DioramaComputerInterface. + + Args: + computer: The computer instance to send commands through + apps: List of applications available in the diorama environment + """ self.computer = computer self.apps = apps self._scene_size = None async def _send_cmd(self, action, arguments=None): + """ + Send a command to the diorama interface through the computer. + + Args: + action (str): The action/command to execute + arguments (dict, optional): Additional arguments for the command + + Returns: + The result from the diorama command execution + + Raises: + RuntimeError: If the computer interface is not initialized or command fails + """ arguments = arguments or {} arguments = {"app_list": self.apps, **arguments} # Use the computer's interface (must be initialized) @@ -42,6 +81,15 @@ class DioramaComputerInterface: return result.get("result") async def screenshot(self, as_bytes=True): + """ + Take a screenshot of the diorama scene. + + Args: + as_bytes (bool): If True, return image as bytes; if False, return PIL Image object + + Returns: + bytes or PIL.Image: Screenshot data in the requested format + """ from PIL import Image import base64 result = await self._send_cmd("screenshot") @@ -53,41 +101,122 @@ class DioramaComputerInterface: return img_bytes if as_bytes else img async def get_screen_size(self): + """ + Get the dimensions of the diorama scene. + + Returns: + dict: Dictionary containing 'width' and 'height' keys with pixel dimensions + """ if not self._scene_size: await self.screenshot(as_bytes=False) return {"width": self._scene_size[0], "height": self._scene_size[1]} async def move_cursor(self, x, y): + """ + Move the cursor to the specified coordinates. + + Args: + x (int): X coordinate to move cursor to + y (int): Y coordinate to move cursor to + """ await self._send_cmd("move_cursor", {"x": x, "y": y}) async def left_click(self, x=None, y=None): + """ + Perform a left mouse click at the specified coordinates or current cursor position. + + Args: + x (int, optional): X coordinate to click at. If None, clicks at current cursor position + y (int, optional): Y coordinate to click at. If None, clicks at current cursor position + """ await self._send_cmd("left_click", {"x": x, "y": y}) async def right_click(self, x=None, y=None): + """ + Perform a right mouse click at the specified coordinates or current cursor position. + + Args: + x (int, optional): X coordinate to click at. If None, clicks at current cursor position + y (int, optional): Y coordinate to click at. If None, clicks at current cursor position + """ await self._send_cmd("right_click", {"x": x, "y": y}) async def double_click(self, x=None, y=None): + """ + Perform a double mouse click at the specified coordinates or current cursor position. + + Args: + x (int, optional): X coordinate to double-click at. If None, clicks at current cursor position + y (int, optional): Y coordinate to double-click at. If None, clicks at current cursor position + """ await self._send_cmd("double_click", {"x": x, "y": y}) async def scroll_up(self, clicks=1): + """ + Scroll up by the specified number of clicks. + + Args: + clicks (int): Number of scroll clicks to perform upward. Defaults to 1 + """ await self._send_cmd("scroll_up", {"clicks": clicks}) async def scroll_down(self, clicks=1): + """ + Scroll down by the specified number of clicks. + + Args: + clicks (int): Number of scroll clicks to perform downward. Defaults to 1 + """ await self._send_cmd("scroll_down", {"clicks": clicks}) async def drag_to(self, x, y, duration=0.5): + """ + Drag from the current cursor position to the specified coordinates. + + Args: + x (int): X coordinate to drag to + y (int): Y coordinate to drag to + duration (float): Duration of the drag operation in seconds. Defaults to 0.5 + """ await self._send_cmd("drag_to", {"x": x, "y": y, "duration": duration}) async def get_cursor_position(self): + """ + Get the current cursor position. + + Returns: + dict: Dictionary containing the current cursor coordinates + """ return await self._send_cmd("get_cursor_position") async def type_text(self, text): + """ + Type the specified text at the current cursor position. + + Args: + text (str): The text to type + """ await self._send_cmd("type_text", {"text": text}) async def press_key(self, key): + """ + Press a single key. + + Args: + key: The key to press + """ await self._send_cmd("press_key", {"key": key}) async def hotkey(self, *keys): + """ + Press multiple keys simultaneously as a hotkey combination. + + Args: + *keys: Variable number of keys to press together. Can be Key enum instances or strings + + Raises: + ValueError: If any key is not a Key enum or string type + """ actual_keys = [] for key in keys: if isinstance(key, Key): @@ -101,4 +230,14 @@ class DioramaComputerInterface: await self._send_cmd("hotkey", {"keys": actual_keys}) async def to_screen_coordinates(self, x, y): + """ + Convert coordinates to screen coordinates. + + Args: + x (int): X coordinate to convert + y (int): Y coordinate to convert + + Returns: + dict: Dictionary containing the converted screen coordinates + """ return await self._send_cmd("to_screen_coordinates", {"x": x, "y": y}) From 4d6e611d73ac4bca8b2a2c1f1af7b13899b33cfc Mon Sep 17 00:00:00 2001 From: Andrei Onel Date: Thu, 28 Aug 2025 23:56:47 +0300 Subject: [PATCH 054/103] Added reference documentation for: libs/python/computer-server/computer_server/diorama/diorama_computer.py --- .../diorama/diorama_computer.py | 24 +++++++++++++++++++ 1 file changed, 24 insertions(+) diff --git a/libs/python/computer-server/computer_server/diorama/diorama_computer.py b/libs/python/computer-server/computer_server/diorama/diorama_computer.py index 4fc37b3f..c00bd86f 100644 --- a/libs/python/computer-server/computer_server/diorama/diorama_computer.py +++ b/libs/python/computer-server/computer_server/diorama/diorama_computer.py @@ -6,11 +6,26 @@ class DioramaComputer: Implements _initialized, run(), and __aenter__ for agent compatibility. """ def __init__(self, diorama): + """ + Initialize the DioramaComputer with a diorama instance. + + Args: + diorama: The diorama instance to wrap with a computer-like interface. + """ self.diorama = diorama self.interface = self.diorama.interface self._initialized = False async def __aenter__(self): + """ + Async context manager entry method for compatibility with ComputerAgent. + + Ensures an event loop is running and marks the instance as initialized. + Creates a new event loop if none is currently running. + + Returns: + DioramaComputer: The initialized instance. + """ # Ensure the event loop is running (for compatibility) try: asyncio.get_running_loop() @@ -20,6 +35,15 @@ class DioramaComputer: return self async def run(self): + """ + Run method stub for compatibility with ComputerAgent interface. + + Ensures the instance is initialized before returning. If not already + initialized, calls __aenter__ to perform initialization. + + Returns: + DioramaComputer: The initialized instance. + """ # This is a stub for compatibility if not self._initialized: await self.__aenter__() From fe3e2f1d16ce3093f231f6a1976e875d3e57bb75 Mon Sep 17 00:00:00 2001 From: Andrei Onel Date: Thu, 28 Aug 2025 23:56:49 +0300 Subject: [PATCH 055/103] Added reference documentation for: docs/src/components/iou.tsx --- docs/src/components/iou.tsx | 41 +++++++++++++++++++++++++++++++++++++ 1 file changed, 41 insertions(+) diff --git a/docs/src/components/iou.tsx b/docs/src/components/iou.tsx index 275f2c4d..ad342304 100644 --- a/docs/src/components/iou.tsx +++ b/docs/src/components/iou.tsx @@ -1,26 +1,53 @@ 'use client'; import React, { useRef, useEffect, useState, useCallback } from 'react'; +/** + * Represents a rectangle with position, dimensions, styling, and identification + */ interface Rectangle { + /** The x-coordinate of the rectangle's left edge */ left: number; + /** The y-coordinate of the rectangle's top edge */ top: number; + /** The width of the rectangle */ width: number; + /** The height of the rectangle */ height: number; + /** The fill color of the rectangle */ fill: string; + /** The display name of the rectangle */ name: string; } +/** + * Props for the IOU component + */ interface IOUProps { + /** The title to display above the visualization */ title: string; + /** The description text to display below the IOU value */ description: string; + /** The first rectangle for IOU calculation */ rect1: Rectangle; + /** The second rectangle for IOU calculation */ rect2: Rectangle; } +/** + * A React component that visualizes and calculates the Intersection over Union (IOU) + * of two rectangles on a canvas + * @param props - The component props + * @returns The rendered IOU visualization component + */ export default function IOU({ title, description, rect1, rect2 }: IOUProps) { const canvasRef = useRef(null); const [actualIOU, setActualIOU] = useState(0); + /** + * Converts a rectangle to a bounding box with left, right, top, and bottom coordinates + * @param rect - The rectangle to convert + * @returns An object containing the bounding box coordinates + */ const getBbox = (rect: Rectangle) => ({ left: rect.left, right: rect.left + rect.width, @@ -28,6 +55,12 @@ export default function IOU({ title, description, rect1, rect2 }: IOUProps) { bottom: rect.top + rect.height, }); + /** + * Calculates the intersection area between two bounding boxes + * @param bbox1 - The first bounding box + * @param bbox2 - The second bounding box + * @returns The area of intersection between the two bounding boxes + */ const calcIntersection = (bbox1: any, bbox2: any): number => { const x1 = Math.max(bbox1.left, bbox2.left); const x2 = Math.min(bbox1.right, bbox2.right); @@ -43,10 +76,18 @@ export default function IOU({ title, description, rect1, rect2 }: IOUProps) { return intersection; }; + /** + * Calculates the area of a rectangle + * @param rect - The rectangle to calculate area for + * @returns The area of the rectangle + */ const calcArea = (rect: Rectangle): number => { return rect.width * rect.height; }; + /** + * Draws the rectangles on the canvas and calculates the IOU value + */ const drawCanvas = useCallback(() => { const canvas = canvasRef.current; if (!canvas) return; From fb3dac9ed45c6d2195898860291c50d8339fb3e9 Mon Sep 17 00:00:00 2001 From: Andrei Onel Date: Thu, 28 Aug 2025 23:56:51 +0300 Subject: [PATCH 056/103] Added reference documentation for: libs/python/computer-server/computer_server/handlers/macos.py --- .../computer_server/handlers/macos.py | 400 +++++++++++++++++- 1 file changed, 395 insertions(+), 5 deletions(-) diff --git a/libs/python/computer-server/computer_server/handlers/macos.py b/libs/python/computer-server/computer_server/handlers/macos.py index ded73408..e23b8ea6 100644 --- a/libs/python/computer-server/computer_server/handlers/macos.py +++ b/libs/python/computer-server/computer_server/handlers/macos.py @@ -77,13 +77,37 @@ NSApplicationActivationOptions = { } def CFAttributeToPyObject(attrValue): + """Convert Core Foundation attribute values to Python objects. + + Args: + attrValue: Core Foundation attribute value to convert + + Returns: + Converted Python object or None if conversion fails + """ def list_helper(list_value): + """Helper function to convert CF arrays to Python lists. + + Args: + list_value: Core Foundation array to convert + + Returns: + Python list containing converted items + """ list_builder = [] for item in list_value: list_builder.append(CFAttributeToPyObject(item)) return list_builder def number_helper(number_value): + """Helper function to convert CF numbers to Python numbers. + + Args: + number_value: Core Foundation number to convert + + Returns: + Python int or float, or None if conversion fails + """ success, int_value = Foundation.CFNumberGetValue( # type: ignore number_value, Foundation.kCFNumberIntType, None # type: ignore ) @@ -98,6 +122,14 @@ def CFAttributeToPyObject(attrValue): return None def axuielement_helper(element_value): + """Helper function to handle AX UI elements. + + Args: + element_value: Accessibility UI element to process + + Returns: + The element value unchanged + """ return element_value cf_attr_type = Foundation.CFGetTypeID(attrValue) # type: ignore @@ -131,6 +163,15 @@ def CFAttributeToPyObject(attrValue): def element_attribute(element, attribute): + """Get an attribute value from an accessibility element. + + Args: + element: The accessibility element + attribute: The attribute name to retrieve + + Returns: + The attribute value or None if not found + """ if attribute == kAXChildrenAttribute: err, value = AXUIElementCopyAttributeValues(element, attribute, 0, 999, None) if err == kAXErrorSuccess: @@ -148,6 +189,15 @@ def element_attribute(element, attribute): def element_value(element, type): + """Extract a typed value from an accessibility element. + + Args: + element: The accessibility element containing the value + type: The expected value type + + Returns: + The extracted value or None if extraction fails + """ err, value = AXValueGetValue(element, type, None) if err == True: return value @@ -155,7 +205,18 @@ def element_value(element, type): class UIElement: + """Represents a UI element in the accessibility tree with position, size, and hierarchy information.""" + def __init__(self, element, offset_x=0, offset_y=0, max_depth=None, parents_visible_bbox=None): + """Initialize a UIElement from an accessibility element. + + Args: + element: The accessibility element to wrap + offset_x: X offset for position calculations + offset_y: Y offset for position calculations + max_depth: Maximum depth to traverse for children + parents_visible_bbox: Parent's visible bounding box for clipping + """ self.ax_element = element self.content_identifier = "" self.identifier = "" @@ -235,6 +296,11 @@ class UIElement: self.calculate_hashes() def _set_bboxes(self, parents_visible_bbox): + """Set bounding box and visible bounding box for the element. + + Args: + parents_visible_bbox: Parent's visible bounding box for intersection calculation + """ if not self.absolute_position or not self.size: self.bbox = None self.visible_bbox = None @@ -265,6 +331,17 @@ class UIElement: self.visible_bbox = self.bbox def _get_children(self, element, start_position, offset_x, offset_y): + """Get child elements from the accessibility element. + + Args: + element: The parent accessibility element + start_position: Starting position for offset calculations + offset_x: X offset for child positioning + offset_y: Y offset for child positioning + + Returns: + List of UIElement children + """ children = element_attribute(element, kAXChildrenAttribute) visible_children = element_attribute(element, kAXVisibleChildrenAttribute) found_children = [] @@ -288,10 +365,16 @@ class UIElement: return result def calculate_hashes(self): + """Calculate unique identifiers for the element and its content.""" self.identifier = self.component_hash() self.content_identifier = self.children_content_hash(self.children) def component_hash(self): + """Generate a hash identifier for this component based on its properties. + + Returns: + MD5 hash string of component properties + """ if self.position is None or self.size is None: return "" position_string = f"{self.position.x:.0f};{self.position.y:.0f}" @@ -304,6 +387,14 @@ class UIElement: return self.hash_from_string(position_string + size_string + enabled_string + role_string) def hash_from_string(self, string): + """Generate MD5 hash from a string. + + Args: + string: Input string to hash + + Returns: + MD5 hash hexdigest or empty string if input is None/empty + """ if string is None or string == "": return "" from hashlib import md5 @@ -311,6 +402,14 @@ class UIElement: return md5(string.encode()).hexdigest() def children_content_hash(self, children): + """Generate a hash representing the content and structure of child elements. + + Args: + children: List of child UIElement objects + + Returns: + Combined hash of children content and structure + """ if len(children) == 0: return "" all_content_hashes = [] @@ -326,7 +425,20 @@ class UIElement: return self.hash_from_string(content_hash.join(content_structure_hash)) def to_dict(self): + """Convert the UIElement to a dictionary representation. + + Returns: + Dictionary containing all element properties and children + """ def children_to_dict(children): + """Convert list of children to dictionary format. + + Args: + children: List of UIElement children to convert + + Returns: + List of dictionaries representing the children + """ result = [] for child in children: result.append(child.to_dict()) @@ -375,6 +487,12 @@ from AppKit import NSWorkspace, NSRunningApplication from pathlib import Path def get_all_windows_zorder(): + """Get all windows in the system with their z-order information. + + Returns: + List of window dictionaries sorted by z-index, containing window properties + like id, name, pid, owner, bounds, layer, and opacity + """ window_list = Quartz.CGWindowListCopyWindowInfo( Quartz.kCGWindowListOptionOnScreenOnly, Quartz.kCGNullWindowID @@ -425,6 +543,14 @@ def get_all_windows_zorder(): return windows def get_app_info(app): + """Extract information from an NSRunningApplication object. + + Args: + app: NSRunningApplication instance + + Returns: + Dictionary containing app name, bundle ID, PID, and status flags + """ return { "name": app.localizedName(), "bundle_id": app.bundleIdentifier(), @@ -435,6 +561,14 @@ def get_app_info(app): } def get_menubar_items(active_app_pid=None): + """Get menubar items for the active application. + + Args: + active_app_pid: Process ID of the active application, or None to use frontmost app + + Returns: + List of menubar item dictionaries with title, bounds, index, and app_pid + """ menubar_items = [] if active_app_pid is None: frontmost_app = NSWorkspace.sharedWorkspace().frontmostApplication() @@ -473,6 +607,12 @@ def get_menubar_items(active_app_pid=None): return menubar_items def get_dock_items(): + """Get all items in the macOS Dock. + + Returns: + List of dock item dictionaries with title, description, bounds, index, + type, role, and subrole information + """ dock_items = [] dock_pid = None running_apps = NSWorkspace.sharedWorkspace().runningApplications() @@ -538,7 +678,14 @@ def get_dock_items(): return dock_items class MacOSAccessibilityHandler(BaseAccessibilityHandler): + """Handler for macOS accessibility features and UI element inspection.""" + def get_desktop_state(self): + """Get the current state of the desktop including windows, apps, menubar, and dock. + + Returns: + Dictionary containing applications, windows, menubar_items, and dock_items + """ windows = [w for w in get_all_windows_zorder() if w.get("is_on_screen")] running_apps = self.get_running_apps() applications = [] @@ -586,7 +733,14 @@ class MacOSAccessibilityHandler(BaseAccessibilityHandler): } def get_application_windows(self, pid: int): - """Get all windows for a specific application.""" + """Get all windows for a specific application. + + Args: + pid: Process ID of the application + + Returns: + List of accessibility window elements or empty list if none found + """ try: app = AXUIElementCreateApplication(pid) err, windows = AXUIElementCopyAttributeValue(app, kAXWindowsAttribute, None) @@ -598,7 +752,11 @@ class MacOSAccessibilityHandler(BaseAccessibilityHandler): return [] def get_all_windows(self): - """Get all visible windows in the system.""" + """Get all visible windows in the system. + + Returns: + List of window dictionaries with app information and window details + """ try: windows = [] running_apps = self.get_running_apps() @@ -632,16 +790,38 @@ class MacOSAccessibilityHandler(BaseAccessibilityHandler): return [] def get_running_apps(self): + """Get all currently running applications. + + Returns: + List of NSRunningApplication objects + """ # From NSWorkspace.runningApplications docs: https://developer.apple.com/documentation/appkit/nsworkspace/runningapplications - # "Similar to the NSRunningApplication class’s properties, this property will only change when the main run loop runs in a common mode" + # "Similar to the NSRunningApplication class's properties, this property will only change when the main run loop runs in a common mode" # So we need to run the main run loop to get the latest running applications Foundation.CFRunLoopRunInMode(Foundation.kCFRunLoopDefaultMode, 0.1, False) # type: ignore return NSWorkspace.sharedWorkspace().runningApplications() def get_ax_attribute(self, element, attribute): + """Get an accessibility attribute from an element. + + Args: + element: The accessibility element + attribute: The attribute name to retrieve + + Returns: + The attribute value or None if not found + """ return element_attribute(element, attribute) def serialize_node(self, element): + """Create a serializable dictionary representation of an accessibility element. + + Args: + element: The accessibility element to serialize + + Returns: + Dictionary containing element properties like role, title, value, position, and size + """ # Create a serializable dictionary representation of an accessibility element result = {} @@ -669,7 +849,12 @@ class MacOSAccessibilityHandler(BaseAccessibilityHandler): return result - async def get_accessibility_tree(self) -> Dict[str, Any]: + async def get_accessibility_tree(self) -> Dict[str, Any]: + """Get the complete accessibility tree for the current desktop state. + + Returns: + Dictionary containing success status and desktop state information + """ try: desktop_state = self.get_desktop_state() return { @@ -683,10 +868,28 @@ class MacOSAccessibilityHandler(BaseAccessibilityHandler): async def find_element( self, role: Optional[str] = None, title: Optional[str] = None, value: Optional[str] = None ) -> Dict[str, Any]: + """Find an accessibility element matching the specified criteria. + + Args: + role: The accessibility role to match (optional) + title: The title to match (optional) + value: The value to match (optional) + + Returns: + Dictionary containing success status and the found element or error message + """ try: system = AXUIElementCreateSystemWide() def match_element(element): + """Check if an element matches the search criteria. + + Args: + element: The accessibility element to check + + Returns: + True if element matches all specified criteria, False otherwise + """ if role and self.get_ax_attribute(element, kAXRoleAttribute) != role: return False if title and self.get_ax_attribute(element, kAXTitleAttribute) != title: @@ -696,6 +899,14 @@ class MacOSAccessibilityHandler(BaseAccessibilityHandler): return True def search_tree(element): + """Recursively search the accessibility tree for matching elements. + + Args: + element: The accessibility element to search from + + Returns: + Serialized element dictionary if match found, None otherwise + """ if match_element(element): return self.serialize_node(element) @@ -714,11 +925,23 @@ class MacOSAccessibilityHandler(BaseAccessibilityHandler): return {"success": False, "error": str(e)} class MacOSAutomationHandler(BaseAutomationHandler): + """Handler for macOS automation including mouse, keyboard, and screen operations.""" + # Mouse Actions mouse = MouseController() keyboard = KeyboardController() async def mouse_down(self, x: Optional[int] = None, y: Optional[int] = None, button: str = "left") -> Dict[str, Any]: + """Press and hold a mouse button at the specified coordinates. + + Args: + x: X coordinate (optional, uses current position if None) + y: Y coordinate (optional, uses current position if None) + button: Mouse button to press ("left", "right", or "middle") + + Returns: + Dictionary containing success status and error message if failed + """ try: if x is not None and y is not None: self.mouse.position = (x, y) @@ -728,6 +951,16 @@ class MacOSAutomationHandler(BaseAutomationHandler): return {"success": False, "error": str(e)} async def mouse_up(self, x: Optional[int] = None, y: Optional[int] = None, button: str = "left") -> Dict[str, Any]: + """Release a mouse button at the specified coordinates. + + Args: + x: X coordinate (optional, uses current position if None) + y: Y coordinate (optional, uses current position if None) + button: Mouse button to release ("left", "right", or "middle") + + Returns: + Dictionary containing success status and error message if failed + """ try: if x is not None and y is not None: self.mouse.position = (x, y) @@ -737,6 +970,15 @@ class MacOSAutomationHandler(BaseAutomationHandler): return {"success": False, "error": str(e)} async def left_click(self, x: Optional[int] = None, y: Optional[int] = None) -> Dict[str, Any]: + """Perform a left mouse click at the specified coordinates. + + Args: + x: X coordinate (optional, uses current position if None) + y: Y coordinate (optional, uses current position if None) + + Returns: + Dictionary containing success status and error message if failed + """ try: if x is not None and y is not None: self.mouse.position = (x, y) @@ -746,6 +988,15 @@ class MacOSAutomationHandler(BaseAutomationHandler): return {"success": False, "error": str(e)} async def right_click(self, x: Optional[int] = None, y: Optional[int] = None) -> Dict[str, Any]: + """Perform a right mouse click at the specified coordinates. + + Args: + x: X coordinate (optional, uses current position if None) + y: Y coordinate (optional, uses current position if None) + + Returns: + Dictionary containing success status and error message if failed + """ try: if x is not None and y is not None: self.mouse.position = (x, y) @@ -757,6 +1008,15 @@ class MacOSAutomationHandler(BaseAutomationHandler): async def double_click( self, x: Optional[int] = None, y: Optional[int] = None ) -> Dict[str, Any]: + """Perform a double left mouse click at the specified coordinates. + + Args: + x: X coordinate (optional, uses current position if None) + y: Y coordinate (optional, uses current position if None) + + Returns: + Dictionary containing success status and error message if failed + """ try: if x is not None and y is not None: self.mouse.position = (x, y) @@ -766,6 +1026,15 @@ class MacOSAutomationHandler(BaseAutomationHandler): return {"success": False, "error": str(e)} async def move_cursor(self, x: int, y: int) -> Dict[str, Any]: + """Move the mouse cursor to the specified coordinates. + + Args: + x: Target X coordinate + y: Target Y coordinate + + Returns: + Dictionary containing success status and error message if failed + """ try: self.mouse.position = (x, y) return {"success": True} @@ -775,6 +1044,17 @@ class MacOSAutomationHandler(BaseAutomationHandler): async def drag_to( self, x: int, y: int, button: str = "left", duration: float = 0.5 ) -> Dict[str, Any]: + """Drag from current position to target coordinates. + + Args: + x: Target X coordinate + y: Target Y coordinate + button: Mouse button to use for dragging ("left", "right", or "middle") + duration: Duration of the drag operation in seconds + + Returns: + Dictionary containing success status and error message if failed + """ try: btn = Button.left if button == "left" else Button.right if button == "right" else Button.middle # Press @@ -801,6 +1081,16 @@ class MacOSAutomationHandler(BaseAutomationHandler): async def drag( self, path: List[Tuple[int, int]], button: str = "left", duration: float = 0.5 ) -> Dict[str, Any]: + """Drag the mouse along a specified path of coordinates. + + Args: + path: List of (x, y) coordinate tuples defining the drag path + button: Mouse button to use for dragging ("left", "right", or "middle") + duration: Total duration of the drag operation in seconds + + Returns: + Dictionary containing success status and error message if failed + """ try: if not path or len(path) < 2: return {"success": False, "error": "Path must contain at least 2 points"} @@ -823,6 +1113,14 @@ class MacOSAutomationHandler(BaseAutomationHandler): # Keyboard Actions async def key_down(self, key: str) -> Dict[str, Any]: + """Press and hold a keyboard key. + + Args: + key: Key name to press (using pyautogui key names) + + Returns: + Dictionary containing success status and error message if failed + """ try: # use pyautogui for their key names pyautogui.keyDown(key) @@ -831,6 +1129,14 @@ class MacOSAutomationHandler(BaseAutomationHandler): return {"success": False, "error": str(e)} async def key_up(self, key: str) -> Dict[str, Any]: + """Release a keyboard key. + + Args: + key: Key name to release (using pyautogui key names) + + Returns: + Dictionary containing success status and error message if failed + """ try: # use pyautogui for their key names pyautogui.keyUp(key) @@ -839,6 +1145,14 @@ class MacOSAutomationHandler(BaseAutomationHandler): return {"success": False, "error": str(e)} async def type_text(self, text: str) -> Dict[str, Any]: + """Type text using the keyboard with Unicode support. + + Args: + text: Text string to type + + Returns: + Dictionary containing success status and error message if failed + """ try: # use pynput for Unicode support self.keyboard.type(text) @@ -847,6 +1161,14 @@ class MacOSAutomationHandler(BaseAutomationHandler): return {"success": False, "error": str(e)} async def press_key(self, key: str) -> Dict[str, Any]: + """Press and release a keyboard key. + + Args: + key: Key name to press (using pyautogui key names) + + Returns: + Dictionary containing success status and error message if failed + """ try: # use pyautogui for their key names pyautogui.press(key) @@ -855,6 +1177,14 @@ class MacOSAutomationHandler(BaseAutomationHandler): return {"success": False, "error": str(e)} async def hotkey(self, keys: List[str]) -> Dict[str, Any]: + """Press a combination of keys simultaneously. + + Args: + keys: List of key names to press together (using pyautogui key names) + + Returns: + Dictionary containing success status and error message if failed + """ try: # use pyautogui for their key names pyautogui.hotkey(*keys) @@ -864,6 +1194,15 @@ class MacOSAutomationHandler(BaseAutomationHandler): # Scrolling Actions async def scroll(self, x: int, y: int) -> Dict[str, Any]: + """Scroll the mouse wheel in the specified direction. + + Args: + x: Horizontal scroll amount + y: Vertical scroll amount (positive for up, negative for down) + + Returns: + Dictionary containing success status and error message if failed + """ try: self.mouse.scroll(x, y) return {"success": True} @@ -871,6 +1210,14 @@ class MacOSAutomationHandler(BaseAutomationHandler): return {"success": False, "error": str(e)} async def scroll_down(self, clicks: int = 1) -> Dict[str, Any]: + """Scroll down by the specified number of clicks. + + Args: + clicks: Number of scroll clicks to perform + + Returns: + Dictionary containing success status and error message if failed + """ try: self.mouse.scroll(0, -clicks) return {"success": True} @@ -878,6 +1225,14 @@ class MacOSAutomationHandler(BaseAutomationHandler): return {"success": False, "error": str(e)} async def scroll_up(self, clicks: int = 1) -> Dict[str, Any]: + """Scroll up by the specified number of clicks. + + Args: + clicks: Number of scroll clicks to perform + + Returns: + Dictionary containing success status and error message if failed + """ try: self.mouse.scroll(0, clicks) return {"success": True} @@ -886,6 +1241,11 @@ class MacOSAutomationHandler(BaseAutomationHandler): # Screen Actions async def screenshot(self) -> Dict[str, Any]: + """Capture a screenshot of the current screen. + + Returns: + Dictionary containing success status and base64-encoded image data or error message + """ try: from PIL import Image @@ -902,6 +1262,11 @@ class MacOSAutomationHandler(BaseAutomationHandler): return {"success": False, "error": f"Screenshot error: {str(e)}"} async def get_screen_size(self) -> Dict[str, Any]: + """Get the dimensions of the current screen. + + Returns: + Dictionary containing success status and screen size or error message + """ try: size = pyautogui.size() return {"success": True, "size": {"width": size.width, "height": size.height}} @@ -909,6 +1274,11 @@ class MacOSAutomationHandler(BaseAutomationHandler): return {"success": False, "error": str(e)} async def get_cursor_position(self) -> Dict[str, Any]: + """Get the current position of the mouse cursor. + + Returns: + Dictionary containing success status and cursor position or error message + """ try: x, y = self.mouse.position return {"success": True, "position": {"x": x, "y": y}} @@ -917,6 +1287,11 @@ class MacOSAutomationHandler(BaseAutomationHandler): # Clipboard Actions async def copy_to_clipboard(self) -> Dict[str, Any]: + """Get the current content of the system clipboard. + + Returns: + Dictionary containing success status and clipboard content or error message + """ try: import pyperclip @@ -926,6 +1301,14 @@ class MacOSAutomationHandler(BaseAutomationHandler): return {"success": False, "error": str(e)} async def set_clipboard(self, text: str) -> Dict[str, Any]: + """Set the content of the system clipboard. + + Args: + text: Text to copy to the clipboard + + Returns: + Dictionary containing success status and error message if failed + """ try: import pyperclip @@ -935,7 +1318,14 @@ class MacOSAutomationHandler(BaseAutomationHandler): return {"success": False, "error": str(e)} async def run_command(self, command: str) -> Dict[str, Any]: - """Run a shell command and return its output.""" + """Run a shell command and return its output. + + Args: + command: Shell command to execute + + Returns: + Dictionary containing success status, stdout, stderr, and return code + """ try: # Create subprocess process = await asyncio.create_subprocess_shell( From be339c2f35fe60d19c265299165cbb920883a5ea Mon Sep 17 00:00:00 2001 From: Andrei Onel Date: Thu, 28 Aug 2025 23:56:52 +0300 Subject: [PATCH 057/103] Added reference documentation for: libs/python/computer-server/computer_server/handlers/windows.py --- .../computer_server/handlers/windows.py | 225 +++++++++++++++++- 1 file changed, 223 insertions(+), 2 deletions(-) diff --git a/libs/python/computer-server/computer_server/handlers/windows.py b/libs/python/computer-server/computer_server/handlers/windows.py index 2d91ce53..eeb0d6bf 100644 --- a/libs/python/computer-server/computer_server/handlers/windows.py +++ b/libs/python/computer-server/computer_server/handlers/windows.py @@ -41,7 +41,14 @@ class WindowsAccessibilityHandler(BaseAccessibilityHandler): """Windows implementation of accessibility handler.""" async def get_accessibility_tree(self) -> Dict[str, Any]: - """Get the accessibility tree of the current window.""" + """Get the accessibility tree of the current window. + + Returns: + Dict[str, Any]: A dictionary containing the success status and either + the accessibility tree or an error message. + Structure: {"success": bool, "tree": dict} or + {"success": bool, "error": str} + """ if not WINDOWS_API_AVAILABLE: return {"success": False, "error": "Windows API not available"} @@ -65,6 +72,15 @@ class WindowsAccessibilityHandler(BaseAccessibilityHandler): # Enumerate child windows def enum_child_proc(hwnd_child, children_list): + """Callback function to enumerate child windows and collect their information. + + Args: + hwnd_child: Handle to the child window being enumerated. + children_list: List to append child window information to. + + Returns: + bool: True to continue enumeration, False to stop. + """ try: child_text = win32gui.GetWindowText(hwnd_child) child_rect = win32gui.GetWindowRect(hwnd_child) @@ -93,7 +109,19 @@ class WindowsAccessibilityHandler(BaseAccessibilityHandler): async def find_element(self, role: Optional[str] = None, title: Optional[str] = None, value: Optional[str] = None) -> Dict[str, Any]: - """Find an element in the accessibility tree by criteria.""" + """Find an element in the accessibility tree by criteria. + + Args: + role (Optional[str]): The role or class name of the element to find. + title (Optional[str]): The title or text of the element to find. + value (Optional[str]): The value of the element (not used in Windows implementation). + + Returns: + Dict[str, Any]: A dictionary containing the success status and either + the found element or an error message. + Structure: {"success": bool, "element": dict} or + {"success": bool, "error": str} + """ if not WINDOWS_API_AVAILABLE: return {"success": False, "error": "Windows API not available"} @@ -140,6 +168,16 @@ class WindowsAutomationHandler(BaseAutomationHandler): # Mouse Actions async def mouse_down(self, x: Optional[int] = None, y: Optional[int] = None, button: str = "left") -> Dict[str, Any]: + """Press and hold a mouse button at the specified coordinates. + + Args: + x (Optional[int]): The x-coordinate to move to before pressing. If None, uses current position. + y (Optional[int]): The y-coordinate to move to before pressing. If None, uses current position. + button (str): The mouse button to press ("left", "right", or "middle"). + + Returns: + Dict[str, Any]: A dictionary with success status and optional error message. + """ if not pyautogui: return {"success": False, "error": "pyautogui not available"} @@ -152,6 +190,16 @@ class WindowsAutomationHandler(BaseAutomationHandler): return {"success": False, "error": str(e)} async def mouse_up(self, x: Optional[int] = None, y: Optional[int] = None, button: str = "left") -> Dict[str, Any]: + """Release a mouse button at the specified coordinates. + + Args: + x (Optional[int]): The x-coordinate to move to before releasing. If None, uses current position. + y (Optional[int]): The y-coordinate to move to before releasing. If None, uses current position. + button (str): The mouse button to release ("left", "right", or "middle"). + + Returns: + Dict[str, Any]: A dictionary with success status and optional error message. + """ if not pyautogui: return {"success": False, "error": "pyautogui not available"} @@ -164,6 +212,15 @@ class WindowsAutomationHandler(BaseAutomationHandler): return {"success": False, "error": str(e)} async def move_cursor(self, x: int, y: int) -> Dict[str, Any]: + """Move the mouse cursor to the specified coordinates. + + Args: + x (int): The x-coordinate to move to. + y (int): The y-coordinate to move to. + + Returns: + Dict[str, Any]: A dictionary with success status and optional error message. + """ if not pyautogui: return {"success": False, "error": "pyautogui not available"} @@ -174,6 +231,15 @@ class WindowsAutomationHandler(BaseAutomationHandler): return {"success": False, "error": str(e)} async def left_click(self, x: Optional[int] = None, y: Optional[int] = None) -> Dict[str, Any]: + """Perform a left mouse click at the specified coordinates. + + Args: + x (Optional[int]): The x-coordinate to click at. If None, clicks at current position. + y (Optional[int]): The y-coordinate to click at. If None, clicks at current position. + + Returns: + Dict[str, Any]: A dictionary with success status and optional error message. + """ if not pyautogui: return {"success": False, "error": "pyautogui not available"} @@ -186,6 +252,15 @@ class WindowsAutomationHandler(BaseAutomationHandler): return {"success": False, "error": str(e)} async def right_click(self, x: Optional[int] = None, y: Optional[int] = None) -> Dict[str, Any]: + """Perform a right mouse click at the specified coordinates. + + Args: + x (Optional[int]): The x-coordinate to click at. If None, clicks at current position. + y (Optional[int]): The y-coordinate to click at. If None, clicks at current position. + + Returns: + Dict[str, Any]: A dictionary with success status and optional error message. + """ if not pyautogui: return {"success": False, "error": "pyautogui not available"} @@ -198,6 +273,15 @@ class WindowsAutomationHandler(BaseAutomationHandler): return {"success": False, "error": str(e)} async def double_click(self, x: Optional[int] = None, y: Optional[int] = None) -> Dict[str, Any]: + """Perform a double left mouse click at the specified coordinates. + + Args: + x (Optional[int]): The x-coordinate to double-click at. If None, clicks at current position. + y (Optional[int]): The y-coordinate to double-click at. If None, clicks at current position. + + Returns: + Dict[str, Any]: A dictionary with success status and optional error message. + """ if not pyautogui: return {"success": False, "error": "pyautogui not available"} @@ -210,6 +294,17 @@ class WindowsAutomationHandler(BaseAutomationHandler): return {"success": False, "error": str(e)} async def drag_to(self, x: int, y: int, button: str = "left", duration: float = 0.5) -> Dict[str, Any]: + """Drag from the current position to the specified coordinates. + + Args: + x (int): The x-coordinate to drag to. + y (int): The y-coordinate to drag to. + button (str): The mouse button to use for dragging ("left", "right", or "middle"). + duration (float): The time in seconds to take for the drag operation. + + Returns: + Dict[str, Any]: A dictionary with success status and optional error message. + """ if not pyautogui: return {"success": False, "error": "pyautogui not available"} @@ -220,6 +315,16 @@ class WindowsAutomationHandler(BaseAutomationHandler): return {"success": False, "error": str(e)} async def drag(self, path: List[Tuple[int, int]], button: str = "left", duration: float = 0.5) -> Dict[str, Any]: + """Drag the mouse through a series of coordinates. + + Args: + path (List[Tuple[int, int]]): A list of (x, y) coordinate tuples to drag through. + button (str): The mouse button to use for dragging ("left", "right", or "middle"). + duration (float): The total time in seconds for the entire drag operation. + + Returns: + Dict[str, Any]: A dictionary with success status and optional error message. + """ if not pyautogui: return {"success": False, "error": "pyautogui not available"} @@ -240,6 +345,14 @@ class WindowsAutomationHandler(BaseAutomationHandler): # Keyboard Actions async def key_down(self, key: str) -> Dict[str, Any]: + """Press and hold a keyboard key. + + Args: + key (str): The key to press down (e.g., 'ctrl', 'shift', 'a'). + + Returns: + Dict[str, Any]: A dictionary with success status and optional error message. + """ if not pyautogui: return {"success": False, "error": "pyautogui not available"} @@ -250,6 +363,14 @@ class WindowsAutomationHandler(BaseAutomationHandler): return {"success": False, "error": str(e)} async def key_up(self, key: str) -> Dict[str, Any]: + """Release a keyboard key. + + Args: + key (str): The key to release (e.g., 'ctrl', 'shift', 'a'). + + Returns: + Dict[str, Any]: A dictionary with success status and optional error message. + """ if not pyautogui: return {"success": False, "error": "pyautogui not available"} @@ -260,6 +381,14 @@ class WindowsAutomationHandler(BaseAutomationHandler): return {"success": False, "error": str(e)} async def type_text(self, text: str) -> Dict[str, Any]: + """Type the specified text. + + Args: + text (str): The text to type. + + Returns: + Dict[str, Any]: A dictionary with success status and optional error message. + """ if not pyautogui: return {"success": False, "error": "pyautogui not available"} @@ -270,6 +399,14 @@ class WindowsAutomationHandler(BaseAutomationHandler): return {"success": False, "error": str(e)} async def press_key(self, key: str) -> Dict[str, Any]: + """Press and release a keyboard key. + + Args: + key (str): The key to press (e.g., 'enter', 'space', 'tab'). + + Returns: + Dict[str, Any]: A dictionary with success status and optional error message. + """ if not pyautogui: return {"success": False, "error": "pyautogui not available"} @@ -280,6 +417,14 @@ class WindowsAutomationHandler(BaseAutomationHandler): return {"success": False, "error": str(e)} async def hotkey(self, keys: str) -> Dict[str, Any]: + """Press a combination of keys simultaneously. + + Args: + keys (str): The keys to press together (e.g., 'ctrl+c', 'alt+tab'). + + Returns: + Dict[str, Any]: A dictionary with success status and optional error message. + """ if not pyautogui: return {"success": False, "error": "pyautogui not available"} @@ -291,6 +436,15 @@ class WindowsAutomationHandler(BaseAutomationHandler): # Scrolling Actions async def scroll(self, x: int, y: int) -> Dict[str, Any]: + """Scroll vertically at the current cursor position. + + Args: + x (int): Horizontal scroll amount (not used in pyautogui implementation). + y (int): Vertical scroll amount. Positive values scroll up, negative values scroll down. + + Returns: + Dict[str, Any]: A dictionary with success status and optional error message. + """ if not pyautogui: return {"success": False, "error": "pyautogui not available"} @@ -302,6 +456,14 @@ class WindowsAutomationHandler(BaseAutomationHandler): return {"success": False, "error": str(e)} async def scroll_down(self, clicks: int = 1) -> Dict[str, Any]: + """Scroll down by the specified number of clicks. + + Args: + clicks (int): The number of scroll clicks to perform downward. + + Returns: + Dict[str, Any]: A dictionary with success status and optional error message. + """ if not pyautogui: return {"success": False, "error": "pyautogui not available"} @@ -312,6 +474,14 @@ class WindowsAutomationHandler(BaseAutomationHandler): return {"success": False, "error": str(e)} async def scroll_up(self, clicks: int = 1) -> Dict[str, Any]: + """Scroll up by the specified number of clicks. + + Args: + clicks (int): The number of scroll clicks to perform upward. + + Returns: + Dict[str, Any]: A dictionary with success status and optional error message. + """ if not pyautogui: return {"success": False, "error": "pyautogui not available"} @@ -323,6 +493,14 @@ class WindowsAutomationHandler(BaseAutomationHandler): # Screen Actions async def screenshot(self) -> Dict[str, Any]: + """Capture a screenshot of the entire screen. + + Returns: + Dict[str, Any]: A dictionary containing the success status and either + base64-encoded image data or an error message. + Structure: {"success": bool, "image_data": str} or + {"success": bool, "error": str} + """ if not pyautogui: return {"success": False, "error": "pyautogui not available"} @@ -341,6 +519,14 @@ class WindowsAutomationHandler(BaseAutomationHandler): return {"success": False, "error": f"Screenshot error: {str(e)}"} async def get_screen_size(self) -> Dict[str, Any]: + """Get the size of the screen in pixels. + + Returns: + Dict[str, Any]: A dictionary containing the success status and either + screen size information or an error message. + Structure: {"success": bool, "size": {"width": int, "height": int}} or + {"success": bool, "error": str} + """ try: if pyautogui: size = pyautogui.size() @@ -356,6 +542,14 @@ class WindowsAutomationHandler(BaseAutomationHandler): return {"success": False, "error": str(e)} async def get_cursor_position(self) -> Dict[str, Any]: + """Get the current position of the mouse cursor. + + Returns: + Dict[str, Any]: A dictionary containing the success status and either + cursor position or an error message. + Structure: {"success": bool, "position": {"x": int, "y": int}} or + {"success": bool, "error": str} + """ try: if pyautogui: pos = pyautogui.position() @@ -371,6 +565,14 @@ class WindowsAutomationHandler(BaseAutomationHandler): # Clipboard Actions async def copy_to_clipboard(self) -> Dict[str, Any]: + """Get the current content of the clipboard. + + Returns: + Dict[str, Any]: A dictionary containing the success status and either + clipboard content or an error message. + Structure: {"success": bool, "content": str} or + {"success": bool, "error": str} + """ try: import pyperclip content = pyperclip.paste() @@ -379,6 +581,14 @@ class WindowsAutomationHandler(BaseAutomationHandler): return {"success": False, "error": str(e)} async def set_clipboard(self, text: str) -> Dict[str, Any]: + """Set the clipboard content to the specified text. + + Args: + text (str): The text to copy to the clipboard. + + Returns: + Dict[str, Any]: A dictionary with success status and optional error message. + """ try: import pyperclip pyperclip.copy(text) @@ -388,6 +598,17 @@ class WindowsAutomationHandler(BaseAutomationHandler): # Command Execution async def run_command(self, command: str) -> Dict[str, Any]: + """Execute a shell command asynchronously. + + Args: + command (str): The shell command to execute. + + Returns: + Dict[str, Any]: A dictionary containing the success status and either + command output or an error message. + Structure: {"success": bool, "stdout": str, "stderr": str, "return_code": int} or + {"success": bool, "error": str} + """ try: # Create subprocess process = await asyncio.create_subprocess_shell( From 2ba67d399d6bd3d618d6529ef7a8856c3ab8c4ae Mon Sep 17 00:00:00 2001 From: Dillon DuPont Date: Thu, 28 Aug 2025 17:09:35 -0400 Subject: [PATCH 058/103] Added wait action --- libs/python/agent/agent/human_tool/ui.py | 31 ++++++++++++++++++++++++ 1 file changed, 31 insertions(+) diff --git a/libs/python/agent/agent/human_tool/ui.py b/libs/python/agent/agent/human_tool/ui.py index f4a9fb4f..39c41bc6 100644 --- a/libs/python/agent/agent/human_tool/ui.py +++ b/libs/python/agent/agent/human_tool/ui.py @@ -368,6 +368,10 @@ class HumanCompletionUI: """Submit a hotkey action.""" return self.submit_action("keypress", keys=keys) + def submit_wait_action(self) -> str: + """Submit a wait action with no kwargs.""" + return self.submit_action("wait") + def submit_description_click(self, description: str, action_type: str = "click", button: str = "left") -> str: """Submit a description-based action.""" if action_type == "click": @@ -515,6 +519,16 @@ def create_ui(): ) description_submit_btn = gr.Button("Submit Description Action") + # Misc actions + with gr.Accordion("🧰 Misc Actions", open=False): + with gr.Group(): + misc_action_dropdown = gr.Dropdown( + label="Misc Action", + choices=["wait"], + value="wait" + ) + misc_submit_btn = gr.Button("Submit Misc Action") + status_display = gr.Textbox( label="Status", interactive=False, @@ -615,6 +629,23 @@ def create_ui(): outputs=[call_dropdown, screenshot_image, conversation_chatbot, submit_btn] ) + # Misc action handler + def handle_misc_submit(selected_action): + if selected_action == "wait": + result = ui_handler.submit_wait_action() + ui_handler.wait_for_pending_calls() + return result + return f"Unsupported misc action: {selected_action}" + + misc_submit_btn.click( + fn=handle_misc_submit, + inputs=[misc_action_dropdown], + outputs=[status_display] + ).then( + fn=ui_handler.wait_for_pending_calls, + outputs=[call_dropdown, screenshot_image, conversation_chatbot, submit_btn] + ) + # Load initial data demo.load( fn=ui_handler.refresh_pending_calls, From 022f999259e51c77c33e8b88a539bf8d4929c5b7 Mon Sep 17 00:00:00 2001 From: Dillon DuPont Date: Thu, 28 Aug 2025 17:12:26 -0400 Subject: [PATCH 059/103] Simplified UI --- libs/python/agent/agent/human_tool/ui.py | 110 +++++++++-------------- 1 file changed, 41 insertions(+), 69 deletions(-) diff --git a/libs/python/agent/agent/human_tool/ui.py b/libs/python/agent/agent/human_tool/ui.py index 39c41bc6..81421d55 100644 --- a/libs/python/agent/agent/human_tool/ui.py +++ b/libs/python/agent/agent/human_tool/ui.py @@ -466,69 +466,51 @@ def create_ui(): submit_btn = gr.Button("📤 Submit Response", variant="primary", interactive=False) # Action Accordions - with gr.Accordion("🖱️ Click Actions", open=False): - with gr.Group(): - with gr.Row(): - click_x = gr.Number(label="X", value=0, minimum=0) - click_y = gr.Number(label="Y", value=0, minimum=0) - with gr.Row(): - click_action_type = gr.Dropdown( - label="Action Type", - choices=["click", "double_click", "move", "left_mouse_up", "left_mouse_down"], - value="click" + with gr.Tabs(): + with gr.Tab("🖱️ Click Actions"): + with gr.Group(): + description_text = gr.Textbox( + label="Element Description", + placeholder="e.g., 'Privacy and security option in left sidebar'" ) - click_button = gr.Dropdown( - label="Button (for click only)", - choices=["left", "right", "wheel", "back", "forward"], - value="left" + with gr.Row(): + description_action_type = gr.Dropdown( + label="Action Type", + choices=["click", "double_click", "move", "left_mouse_up", "left_mouse_down"], + value="click" + ) + description_button = gr.Radio( + label="Button (for click only)", + choices=["left", "right", "wheel", "back", "forward"], + value="left" + ) + description_submit_btn = gr.Button("Submit Click Action") + + with gr.Tab("📝 Type Action"): + with gr.Group(): + type_text = gr.Textbox( + label="Text to Type", + placeholder="Enter text to type..." ) - click_submit_btn = gr.Button("Submit Action") - - with gr.Accordion("📝 Type Action", open=False): - with gr.Group(): - type_text = gr.Textbox( - label="Text to Type", - placeholder="Enter text to type..." - ) - type_submit_btn = gr.Button("Submit Type") - - with gr.Accordion("⌨️ Keypress Action", open=False): - with gr.Group(): - keypress_text = gr.Textbox( - label="Keys", - placeholder="e.g., ctrl+c, alt+tab" - ) - keypress_submit_btn = gr.Button("Submit Keypress") - - with gr.Accordion("🎯 Description Action", open=False): - with gr.Group(): - description_text = gr.Textbox( - label="Element Description", - placeholder="e.g., 'Privacy and security option in left sidebar'" - ) - with gr.Row(): - description_action_type = gr.Dropdown( - label="Action Type", - choices=["click", "double_click", "move", "left_mouse_up", "left_mouse_down"], - value="click" + type_submit_btn = gr.Button("Submit Type") + + with gr.Tab("⌨️ Keypress Action"): + with gr.Group(): + keypress_text = gr.Textbox( + label="Keys", + placeholder="e.g., ctrl+c, alt+tab" ) - description_button = gr.Radio( - label="Button (for click only)", - choices=["left", "right", "wheel", "back", "forward"], - value="left" + keypress_submit_btn = gr.Button("Submit Keypress") + + with gr.Tab("🧰 Misc Actions"): + with gr.Group(): + misc_action_dropdown = gr.Dropdown( + label="Misc Action", + choices=["wait"], + value="wait" ) - description_submit_btn = gr.Button("Submit Description Action") - - # Misc actions - with gr.Accordion("🧰 Misc Actions", open=False): - with gr.Group(): - misc_action_dropdown = gr.Dropdown( - label="Misc Action", - choices=["wait"], - value="wait" - ) - misc_submit_btn = gr.Button("Submit Misc Action") - + misc_submit_btn = gr.Button("Submit Misc Action") + status_display = gr.Textbox( label="Status", interactive=False, @@ -584,16 +566,6 @@ def create_ui(): inputs=[action_type_radio], outputs=[action_button_radio] ) - - # Action accordion handlers - click_submit_btn.click( - fn=ui_handler.submit_click_action, - inputs=[click_x, click_y, click_action_type, click_button], - outputs=[status_display] - ).then( - fn=ui_handler.wait_for_pending_calls, - outputs=[call_dropdown, screenshot_image, conversation_chatbot, submit_btn] - ) type_submit_btn.click( fn=ui_handler.submit_type_action, From e2fac486ee5a5c66e16fe68a2fed95bd4cad3109 Mon Sep 17 00:00:00 2001 From: Dillon DuPont Date: Thu, 28 Aug 2025 17:19:36 -0400 Subject: [PATCH 060/103] Renamed Response to Message --- libs/python/agent/agent/human_tool/ui.py | 21 ++++++++++----------- 1 file changed, 10 insertions(+), 11 deletions(-) diff --git a/libs/python/agent/agent/human_tool/ui.py b/libs/python/agent/agent/human_tool/ui.py index 81421d55..d9d9ab11 100644 --- a/libs/python/agent/agent/human_tool/ui.py +++ b/libs/python/agent/agent/human_tool/ui.py @@ -459,11 +459,16 @@ def create_ui(): with gr.Group(): response_text = gr.Textbox( - label="Response", + label="Message", lines=3, - placeholder="Enter your response here..." + placeholder="Enter your message here..." + ) + submit_btn = gr.Button("📤 Submit Message", variant="primary", interactive=False) + status_display = gr.Textbox( + label="Status", + interactive=False, + value="Ready to receive calls..." ) - submit_btn = gr.Button("📤 Submit Response", variant="primary", interactive=False) # Action Accordions with gr.Tabs(): @@ -505,17 +510,11 @@ def create_ui(): with gr.Tab("🧰 Misc Actions"): with gr.Group(): misc_action_dropdown = gr.Dropdown( - label="Misc Action", + label="Action", choices=["wait"], value="wait" ) - misc_submit_btn = gr.Button("Submit Misc Action") - - status_display = gr.Textbox( - label="Status", - interactive=False, - value="Ready to receive calls..." - ) + misc_submit_btn = gr.Button("Submit Action") # Event handlers refresh_btn.click( From 2cf6290c47f8b7faf4b79d79c1864158ae53795f Mon Sep 17 00:00:00 2001 From: Dillon DuPont Date: Thu, 28 Aug 2025 17:26:09 -0400 Subject: [PATCH 061/103] Made UI more compact --- libs/python/agent/agent/human_tool/ui.py | 174 ++++++++++++----------- 1 file changed, 94 insertions(+), 80 deletions(-) diff --git a/libs/python/agent/agent/human_tool/ui.py b/libs/python/agent/agent/human_tool/ui.py index d9d9ab11..34e1c468 100644 --- a/libs/python/agent/agent/human_tool/ui.py +++ b/libs/python/agent/agent/human_tool/ui.py @@ -196,7 +196,9 @@ class HumanCompletionUI: gr.update(choices=["latest"], value="latest"), # dropdown gr.update(value=None), # image (no image) gr.update(value=[]), # chatbot (empty messages) - gr.update(interactive=False) # submit button + gr.update(interactive=False), # submit button + gr.update(visible=False), # click_actions_group hidden + gr.update(visible=False), # actions_group hidden ) # Sort pending calls by created_at to get oldest first @@ -237,7 +239,9 @@ class HumanCompletionUI: gr.update(choices=choices, value="latest"), gr.update(value=self.last_image), gr.update(value=conversation), - gr.update(interactive=bool(choices)) + gr.update(interactive=bool(choices)), + gr.update(visible=True), # click_actions_group visible when there is a call + gr.update(visible=True), # actions_group visible when there is a call ) def on_call_selected(self, selected_choice): @@ -246,7 +250,9 @@ class HumanCompletionUI: return ( gr.update(value=None), # no image gr.update(value=[]), # empty chatbot - gr.update(interactive=False) + gr.update(interactive=False), + gr.update(visible=False), # click_actions_group hidden + gr.update(visible=False), # actions_group hidden ) pending_calls = self.get_pending_calls() @@ -254,7 +260,9 @@ class HumanCompletionUI: return ( gr.update(value=None), # no image gr.update(value=[]), # empty chatbot - gr.update(interactive=False) + gr.update(interactive=False), + gr.update(visible=False), # click_actions_group hidden + gr.update(visible=False), # actions_group hidden ) # Handle "latest" option @@ -286,7 +294,9 @@ class HumanCompletionUI: return ( gr.update(value=None), # no image gr.update(value=[]), # empty chatbot - gr.update(interactive=False) + gr.update(interactive=False), + gr.update(visible=False), # click_actions_group hidden + gr.update(visible=False), # actions_group hidden ) conversation = self.format_messages_for_chatbot(selected_call.get("messages", [])) @@ -297,7 +307,9 @@ class HumanCompletionUI: return ( gr.update(value=self.last_image), gr.update(value=conversation), - gr.update(interactive=True) + gr.update(interactive=True), + gr.update(visible=True), # click_actions_group visible + gr.update(visible=True), # actions_group visible ) def submit_response(self, response_text: str): @@ -411,7 +423,7 @@ def create_ui(): """Create the Gradio interface.""" ui_handler = HumanCompletionUI() - with gr.Blocks(title="Human-in-the-Loop Agent Tool") as demo: + with gr.Blocks(title="Human-in-the-Loop Agent Tool", fill_width=True) as demo: gr.Markdown("# 🤖 Human-in-the-Loop Agent Tool") gr.Markdown("Review AI conversation requests and provide human responses.") @@ -424,21 +436,22 @@ def create_ui(): height=600 ) - # Action type selection for image clicks - with gr.Row(): - action_type_radio = gr.Radio( - label="Action Type", - choices=["click", "double_click", "move", "left_mouse_up", "left_mouse_down"], - value="click", - scale=2 - ) - action_button_radio = gr.Radio( - label="Button (for click only)", - choices=["left", "right", "wheel", "back", "forward"], - value="left", - visible=True, - scale=1 - ) + # Action type selection for image clicks (wrapped for visibility control) + with gr.Group(visible=False) as click_actions_group: + with gr.Row(): + action_type_radio = gr.Dropdown( + label="Interactive Action", + choices=["click", "double_click", "move", "left_mouse_up", "left_mouse_down"], + value="click", + scale=2 + ) + action_button_radio = gr.Dropdown( + label="Button", + choices=["left", "right", "wheel", "back", "forward"], + value="left", + visible=True, + scale=1 + ) conversation_chatbot = gr.Chatbot( label="Messages", @@ -450,12 +463,17 @@ def create_ui(): with gr.Column(scale=1): with gr.Group(): call_dropdown = gr.Dropdown( - label="Select a pending call", + label="Select a pending conversation request", choices=["latest"], interactive=True, value="latest" ) refresh_btn = gr.Button("🔄 Refresh", variant="secondary") + status_display = gr.Textbox( + label="Status", + interactive=False, + value="Ready to receive requests..." + ) with gr.Group(): response_text = gr.Textbox( @@ -464,68 +482,64 @@ def create_ui(): placeholder="Enter your message here..." ) submit_btn = gr.Button("📤 Submit Message", variant="primary", interactive=False) - status_display = gr.Textbox( - label="Status", - interactive=False, - value="Ready to receive calls..." - ) - # Action Accordions - with gr.Tabs(): - with gr.Tab("🖱️ Click Actions"): - with gr.Group(): - description_text = gr.Textbox( - label="Element Description", - placeholder="e.g., 'Privacy and security option in left sidebar'" - ) - with gr.Row(): - description_action_type = gr.Dropdown( - label="Action Type", - choices=["click", "double_click", "move", "left_mouse_up", "left_mouse_down"], - value="click" + # Action Accordions (wrapped for visibility control) + with gr.Group(visible=False) as actions_group: + with gr.Tabs(): + with gr.Tab("🖱️ Click Actions"): + with gr.Group(): + description_text = gr.Textbox( + label="Element Description", + placeholder="e.g., 'Privacy and security option in left sidebar'" ) - description_button = gr.Radio( - label="Button (for click only)", - choices=["left", "right", "wheel", "back", "forward"], - value="left" + with gr.Row(): + description_action_type = gr.Dropdown( + label="Action", + choices=["click", "double_click", "move", "left_mouse_up", "left_mouse_down"], + value="click" + ) + description_button = gr.Dropdown( + label="Button", + choices=["left", "right", "wheel", "back", "forward"], + value="left" + ) + description_submit_btn = gr.Button("Submit Click Action") + + with gr.Tab("📝 Type Action"): + with gr.Group(): + type_text = gr.Textbox( + label="Text to Type", + placeholder="Enter text to type..." ) - description_submit_btn = gr.Button("Submit Click Action") - - with gr.Tab("📝 Type Action"): - with gr.Group(): - type_text = gr.Textbox( - label="Text to Type", - placeholder="Enter text to type..." - ) - type_submit_btn = gr.Button("Submit Type") - - with gr.Tab("⌨️ Keypress Action"): - with gr.Group(): - keypress_text = gr.Textbox( - label="Keys", - placeholder="e.g., ctrl+c, alt+tab" - ) - keypress_submit_btn = gr.Button("Submit Keypress") - - with gr.Tab("🧰 Misc Actions"): - with gr.Group(): - misc_action_dropdown = gr.Dropdown( - label="Action", - choices=["wait"], - value="wait" - ) - misc_submit_btn = gr.Button("Submit Action") + type_submit_btn = gr.Button("Submit Type") + + with gr.Tab("⌨️ Keypress Action"): + with gr.Group(): + keypress_text = gr.Textbox( + label="Keys", + placeholder="e.g., ctrl+c, alt+tab" + ) + keypress_submit_btn = gr.Button("Submit Keypress") + + with gr.Tab("🧰 Misc Actions"): + with gr.Group(): + misc_action_dropdown = gr.Dropdown( + label="Action", + choices=["wait"], + value="wait" + ) + misc_submit_btn = gr.Button("Submit Action") # Event handlers refresh_btn.click( fn=ui_handler.refresh_pending_calls, - outputs=[call_dropdown, screenshot_image, conversation_chatbot, submit_btn] + outputs=[call_dropdown, screenshot_image, conversation_chatbot, submit_btn, click_actions_group, actions_group] ) call_dropdown.change( fn=ui_handler.on_call_selected, inputs=[call_dropdown], - outputs=[screenshot_image, conversation_chatbot, submit_btn] + outputs=[screenshot_image, conversation_chatbot, submit_btn, click_actions_group, actions_group] ) def handle_image_click(evt: gr.SelectData): @@ -543,7 +557,7 @@ def create_ui(): outputs=[status_display] ).then( fn=ui_handler.wait_for_pending_calls, - outputs=[call_dropdown, screenshot_image, conversation_chatbot, submit_btn] + outputs=[call_dropdown, screenshot_image, conversation_chatbot, submit_btn, click_actions_group, actions_group] ) # Response submission @@ -553,7 +567,7 @@ def create_ui(): outputs=[response_text, status_display] ).then( fn=ui_handler.refresh_pending_calls, - outputs=[call_dropdown, screenshot_image, conversation_chatbot, submit_btn] + outputs=[call_dropdown, screenshot_image, conversation_chatbot, submit_btn, click_actions_group, actions_group] ) # Toggle button radio visibility based on action type @@ -572,7 +586,7 @@ def create_ui(): outputs=[status_display] ).then( fn=ui_handler.wait_for_pending_calls, - outputs=[call_dropdown, screenshot_image, conversation_chatbot, submit_btn] + outputs=[call_dropdown, screenshot_image, conversation_chatbot, submit_btn, click_actions_group, actions_group] ) keypress_submit_btn.click( @@ -581,7 +595,7 @@ def create_ui(): outputs=[status_display] ).then( fn=ui_handler.wait_for_pending_calls, - outputs=[call_dropdown, screenshot_image, conversation_chatbot, submit_btn] + outputs=[call_dropdown, screenshot_image, conversation_chatbot, submit_btn, click_actions_group, actions_group] ) def handle_description_submit(description, action_type, button): @@ -597,7 +611,7 @@ def create_ui(): outputs=[status_display] ).then( fn=ui_handler.wait_for_pending_calls, - outputs=[call_dropdown, screenshot_image, conversation_chatbot, submit_btn] + outputs=[call_dropdown, screenshot_image, conversation_chatbot, submit_btn, click_actions_group, actions_group] ) # Misc action handler @@ -614,13 +628,13 @@ def create_ui(): outputs=[status_display] ).then( fn=ui_handler.wait_for_pending_calls, - outputs=[call_dropdown, screenshot_image, conversation_chatbot, submit_btn] + outputs=[call_dropdown, screenshot_image, conversation_chatbot, submit_btn, click_actions_group, actions_group] ) # Load initial data demo.load( fn=ui_handler.refresh_pending_calls, - outputs=[call_dropdown, screenshot_image, conversation_chatbot, submit_btn] + outputs=[call_dropdown, screenshot_image, conversation_chatbot, submit_btn, click_actions_group, actions_group] ) return demo From e61fbeda5eab4a0086a33ece9a9a2c38d6d39b78 Mon Sep 17 00:00:00 2001 From: Dillon DuPont Date: Thu, 28 Aug 2025 17:36:56 -0400 Subject: [PATCH 062/103] Made labels more descriptive --- libs/python/agent/agent/human_tool/ui.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/libs/python/agent/agent/human_tool/ui.py b/libs/python/agent/agent/human_tool/ui.py index 34e1c468..c26a23a8 100644 --- a/libs/python/agent/agent/human_tool/ui.py +++ b/libs/python/agent/agent/human_tool/ui.py @@ -431,7 +431,7 @@ def create_ui(): with gr.Column(scale=2): with gr.Group(): screenshot_image = gr.Image( - label="Screenshot", + label="Interactive Screenshot", interactive=False, height=600 ) @@ -440,7 +440,7 @@ def create_ui(): with gr.Group(visible=False) as click_actions_group: with gr.Row(): action_type_radio = gr.Dropdown( - label="Interactive Action", + label="Action", choices=["click", "double_click", "move", "left_mouse_up", "left_mouse_down"], value="click", scale=2 @@ -454,7 +454,7 @@ def create_ui(): ) conversation_chatbot = gr.Chatbot( - label="Messages", + label="Conversation", type="messages", height=500, show_copy_button=True From ddd01ee719a85ee80a9b6156d80b56190237bf52 Mon Sep 17 00:00:00 2001 From: Dillon DuPont Date: Thu, 28 Aug 2025 18:18:40 -0400 Subject: [PATCH 063/103] Improved image retention callback --- .../agent/agent/callbacks/image_retention.py | 125 ++++++------------ 1 file changed, 38 insertions(+), 87 deletions(-) diff --git a/libs/python/agent/agent/callbacks/image_retention.py b/libs/python/agent/agent/callbacks/image_retention.py index d91754b1..ff38a6dd 100644 --- a/libs/python/agent/agent/callbacks/image_retention.py +++ b/libs/python/agent/agent/callbacks/image_retention.py @@ -50,90 +50,41 @@ class ImageRetentionCallback(AsyncCallbackHandler): """ if self.only_n_most_recent_images is None: return messages - - # First pass: Assign call_id to reasoning items based on the next computer_call - messages_with_call_ids = [] - for i, msg in enumerate(messages): - msg_copy = msg.copy() if isinstance(msg, dict) else msg - - # If this is a reasoning item without a call_id, find the next computer_call - if (msg_copy.get("type") == "reasoning" and - not msg_copy.get("call_id")): - # Look ahead for the next computer_call - for j in range(i + 1, len(messages)): - next_msg = messages[j] - if (next_msg.get("type") == "computer_call" and - next_msg.get("call_id")): - msg_copy["call_id"] = next_msg.get("call_id") - break - - messages_with_call_ids.append(msg_copy) - - # Find all computer_call_output items with images and their call_ids - image_call_ids = [] - for msg in reversed(messages_with_call_ids): # Process in reverse to get most recent first - if (msg.get("type") == "computer_call_output" and - isinstance(msg.get("output"), dict) and - "image_url" in msg.get("output", {})): - call_id = msg.get("call_id") - if call_id and call_id not in image_call_ids: - image_call_ids.append(call_id) - if len(image_call_ids) >= self.only_n_most_recent_images: - break - - # Keep the most recent N image call_ids (reverse to get chronological order) - keep_call_ids = set(image_call_ids[:self.only_n_most_recent_images]) - - # Filter messages: remove computer_call, computer_call_output, and reasoning for old images - filtered_messages = [] - for msg in messages_with_call_ids: - msg_type = msg.get("type") - call_id = msg.get("call_id") - - # Remove old computer_call items - if msg_type == "computer_call" and call_id not in keep_call_ids: - # Check if this call_id corresponds to an image call - has_image_output = any( - m.get("type") == "computer_call_output" and - m.get("call_id") == call_id and - isinstance(m.get("output"), dict) and - "image_url" in m.get("output", {}) - for m in messages_with_call_ids - ) - if has_image_output: - continue # Skip this computer_call - - # Remove old computer_call_output items with images - if (msg_type == "computer_call_output" and - call_id not in keep_call_ids and - isinstance(msg.get("output"), dict) and - "image_url" in msg.get("output", {})): - continue # Skip this computer_call_output - - # Remove old reasoning items that are paired with removed computer calls - if (msg_type == "reasoning" and - call_id and call_id not in keep_call_ids): - # Check if this call_id corresponds to an image call that's being removed - has_image_output = any( - m.get("type") == "computer_call_output" and - m.get("call_id") == call_id and - isinstance(m.get("output"), dict) and - "image_url" in m.get("output", {}) - for m in messages_with_call_ids - ) - if has_image_output: - continue # Skip this reasoning item - - filtered_messages.append(msg) - - # Clean up: Remove call_id from reasoning items before returning - final_messages = [] - for msg in filtered_messages: - if msg.get("type") == "reasoning" and "call_id" in msg: - # Create a copy without call_id for reasoning items - cleaned_msg = {k: v for k, v in msg.items() if k != "call_id"} - final_messages.append(cleaned_msg) - else: - final_messages.append(msg) - - return final_messages \ No newline at end of file + + # Gather indices of all computer_call_output messages that contain an image_url + output_indices: List[int] = [] + for idx, msg in enumerate(messages): + if msg["type"] == "computer_call_output": + out = msg["output"] + if isinstance(out, dict) and ("image_url" in out): + output_indices.append(idx) + + # Nothing to trim + if len(output_indices) <= self.only_n_most_recent_images: + return messages + + # Determine which outputs to keep (most recent N) + keep_output_indices = set(output_indices[-self.only_n_most_recent_images :]) + + # Build set of indices to remove in one pass + to_remove: set[int] = set() + + for idx in output_indices: + if idx in keep_output_indices: + continue # keep this screenshot and its context + + to_remove.add(idx) # remove the computer_call_output itself + + # Remove the immediately preceding computer_call with matching call_id (if present) + call_id = messages[idx]["call_id"] + prev_idx = idx - 1 + if prev_idx >= 0 and messages[prev_idx]["type"] == "computer_call" and messages[prev_idx]["call_id"] == call_id: + to_remove.add(prev_idx) + # Check a single reasoning immediately before that computer_call + r_idx = prev_idx - 1 + if r_idx >= 0 and messages[r_idx]["type"] == "reasoning": + to_remove.add(r_idx) + + # Construct filtered list + filtered = [m for i, m in enumerate(messages) if i not in to_remove] + return filtered \ No newline at end of file From efc2c3e54cdf56f6ace65626e3c11d19a13f9186 Mon Sep 17 00:00:00 2001 From: Dillon DuPont Date: Thu, 28 Aug 2025 18:24:20 -0400 Subject: [PATCH 064/103] Fixed KeyError --- libs/python/agent/agent/callbacks/image_retention.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/libs/python/agent/agent/callbacks/image_retention.py b/libs/python/agent/agent/callbacks/image_retention.py index ff38a6dd..320a3f43 100644 --- a/libs/python/agent/agent/callbacks/image_retention.py +++ b/libs/python/agent/agent/callbacks/image_retention.py @@ -54,8 +54,8 @@ class ImageRetentionCallback(AsyncCallbackHandler): # Gather indices of all computer_call_output messages that contain an image_url output_indices: List[int] = [] for idx, msg in enumerate(messages): - if msg["type"] == "computer_call_output": - out = msg["output"] + if msg.get("type") == "computer_call_output": + out = msg.get("output") if isinstance(out, dict) and ("image_url" in out): output_indices.append(idx) @@ -76,13 +76,13 @@ class ImageRetentionCallback(AsyncCallbackHandler): to_remove.add(idx) # remove the computer_call_output itself # Remove the immediately preceding computer_call with matching call_id (if present) - call_id = messages[idx]["call_id"] + call_id = messages[idx].get("call_id") prev_idx = idx - 1 - if prev_idx >= 0 and messages[prev_idx]["type"] == "computer_call" and messages[prev_idx]["call_id"] == call_id: + if prev_idx >= 0 and messages[prev_idx].get("type") == "computer_call" and messages[prev_idx].get("call_id") == call_id: to_remove.add(prev_idx) # Check a single reasoning immediately before that computer_call r_idx = prev_idx - 1 - if r_idx >= 0 and messages[r_idx]["type"] == "reasoning": + if r_idx >= 0 and messages[r_idx].get("type") == "reasoning": to_remove.add(r_idx) # Construct filtered list From 6ec083e28a0cec6ad381206fad0614939c257497 Mon Sep 17 00:00:00 2001 From: Dillon DuPont Date: Thu, 28 Aug 2025 19:21:04 -0400 Subject: [PATCH 065/103] Removed reasoning pass --- .../agent/callbacks/operator_validator.py | 64 +++++++++---------- 1 file changed, 32 insertions(+), 32 deletions(-) diff --git a/libs/python/agent/agent/callbacks/operator_validator.py b/libs/python/agent/agent/callbacks/operator_validator.py index 94b81f85..56a9c280 100644 --- a/libs/python/agent/agent/callbacks/operator_validator.py +++ b/libs/python/agent/agent/callbacks/operator_validator.py @@ -102,37 +102,37 @@ class OperatorNormalizerCallback(AsyncCallbackHandler): _keep_keys(action, keep) - # Second pass: if an assistant message is immediately followed by a computer_call, - # replace the assistant message itself with a reasoning message with summary text. - if isinstance(output, list): - for i, item in enumerate(output): - # AssistantMessage shape: { type: 'message', role: 'assistant', content: OutputContent[] } - if item.get("type") == "message" and item.get("role") == "assistant": - next_idx = i + 1 - if next_idx >= len(output): - continue - next_item = output[next_idx] - if not isinstance(next_item, dict): - continue - if next_item.get("type") != "computer_call": - continue - contents = item.get("content") or [] - # Extract text from OutputContent[] - text_parts: List[str] = [] - if isinstance(contents, list): - for c in contents: - if isinstance(c, dict) and c.get("type") == "output_text" and isinstance(c.get("text"), str): - text_parts.append(c["text"]) - text_content = "\n".join(text_parts).strip() - # Replace assistant message with reasoning message - output[i] = { - "type": "reasoning", - "summary": [ - { - "type": "summary_text", - "text": text_content, - } - ], - } + # # Second pass: if an assistant message is immediately followed by a computer_call, + # # replace the assistant message itself with a reasoning message with summary text. + # if isinstance(output, list): + # for i, item in enumerate(output): + # # AssistantMessage shape: { type: 'message', role: 'assistant', content: OutputContent[] } + # if item.get("type") == "message" and item.get("role") == "assistant": + # next_idx = i + 1 + # if next_idx >= len(output): + # continue + # next_item = output[next_idx] + # if not isinstance(next_item, dict): + # continue + # if next_item.get("type") != "computer_call": + # continue + # contents = item.get("content") or [] + # # Extract text from OutputContent[] + # text_parts: List[str] = [] + # if isinstance(contents, list): + # for c in contents: + # if isinstance(c, dict) and c.get("type") == "output_text" and isinstance(c.get("text"), str): + # text_parts.append(c["text"]) + # text_content = "\n".join(text_parts).strip() + # # Replace assistant message with reasoning message + # output[i] = { + # "type": "reasoning", + # "summary": [ + # { + # "type": "summary_text", + # "text": text_content, + # } + # ], + # } return output From 146ebf1a6ac6d743ddd65b214e676d6fc24a11d5 Mon Sep 17 00:00:00 2001 From: ahmadhr Date: Thu, 28 Aug 2025 19:37:11 -0400 Subject: [PATCH 066/103] unified capitalization of 'Get started' in Quick Start section of README --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 88cced63..24ac2817 100644 --- a/README.md +++ b/README.md @@ -47,7 +47,7 @@ Missing a model? [Raise a feature request](https://github.com/trycua/cua/issues/ - [Get started with a Computer-Use Agent UI](https://docs.trycua.com/docs/quickstart-ui) - [Get started with the Computer-Use Agent CLI](https://docs.trycua.com/docs/quickstart-cli) -- [Get Started with the Python SDKs](https://docs.trycua.com/docs/quickstart-devs) +- [Get started with the Python SDKs](https://docs.trycua.com/docs/quickstart-devs)
From 70043404837ffaee404b02f2aa590f45191d7583 Mon Sep 17 00:00:00 2001 From: ahmadhr Date: Thu, 28 Aug 2025 20:02:56 -0400 Subject: [PATCH 067/103] docs: remove duplicated word 'guide' in CONTRIBUTING --- CONTRIBUTING.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 92da20d7..10478cb9 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -51,6 +51,6 @@ Documentation improvements are always welcome. You can: - Improve API documentation - Add tutorials or guides -For detailed instructions on setting up your development environment and submitting code contributions, please see our [Developer-Guide](./docs/Developer-Guide.md) guide. +For detailed instructions on setting up your development environment and submitting code contributions, please see our [Developer-Guide](./docs/Developer-Guide.md). Feel free to join our [Discord community](https://discord.com/invite/mVnXXpdE85) to discuss ideas or get help with your contributions. \ No newline at end of file From 39d60a852cbcf9dc50b559171e65aa94ea07fd11 Mon Sep 17 00:00:00 2001 From: Dillon DuPont Date: Fri, 29 Aug 2025 11:33:04 -0400 Subject: [PATCH 068/103] Updated license of cua-som and cua-agent[omni] --- README.md | 8 ++++++++ libs/python/agent/pyproject.toml | 4 ---- libs/python/som/pyproject.toml | 4 ++-- 3 files changed, 10 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index 88cced63..5183598c 100644 --- a/README.md +++ b/README.md @@ -187,6 +187,14 @@ The base image `kasmweb/core-ubuntu-jammy` is maintained by [Kasm Technologies]( Microsoft's OmniParser, which is used in this project, is licensed under the Creative Commons Attribution 4.0 International License (CC-BY-4.0) - see the [OmniParser LICENSE](https://github.com/microsoft/OmniParser/blob/master/LICENSE) file for details. +### Third-Party Licenses and Optional Components + +Some optional extras for this project depend on third-party packages that are licensed under terms different from the MIT License. + +- The optional "omni" extra (installed via `pip install "cua-agent[omni]"`) installs the `cua-som` module, which includes `ultralytics` and is licensed under the AGPL-3.0. + +When you choose to install and use such optional extras, your use, modification, and distribution of those third-party components are governed by their respective licenses (e.g., AGPL-3.0 for `ultralytics`). + ## Contributing We welcome contributions to Cua! Please refer to our [Contributing Guidelines](CONTRIBUTING.md) for details. diff --git a/libs/python/agent/pyproject.toml b/libs/python/agent/pyproject.toml index 4be2f6b6..c92c4dfa 100644 --- a/libs/python/agent/pyproject.toml +++ b/libs/python/agent/pyproject.toml @@ -30,7 +30,6 @@ requires-python = ">=3.12" openai = [] anthropic = [] omni = [ - "ultralytics>=8.0.0", "cua-som>=0.1.0,<0.2.0", ] uitars = [] @@ -58,9 +57,6 @@ hud = [ "hud-python>=0.4.12,<0.5.0", ] all = [ - # omni requirements - "ultralytics>=8.0.0", - "cua-som>=0.1.0,<0.2.0", # uitars requirements "mlx-vlm>=0.1.27; sys_platform == 'darwin'", "accelerate", diff --git a/libs/python/som/pyproject.toml b/libs/python/som/pyproject.toml index 0bae7ea2..10b29ff8 100644 --- a/libs/python/som/pyproject.toml +++ b/libs/python/som/pyproject.toml @@ -26,12 +26,12 @@ dependencies = [ ] requires-python = ">=3.11" readme = "README.md" -license = {text = "MIT"} +license = {text = "AGPL-3.0-or-later"} keywords = ["computer-vision", "ocr", "ui-analysis", "icon-detection"] classifiers = [ "Development Status :: 4 - Beta", + "License :: OSI Approved :: GNU Affero General Public License v3 or later (AGPLv3+)", "Intended Audience :: Developers", - "License :: OSI Approved :: MIT License", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.11", "Topic :: Scientific/Engineering :: Artificial Intelligence", From 59418b0261f2e35c1b7b3fb48375db5bd7383507 Mon Sep 17 00:00:00 2001 From: Dillon DuPont Date: Fri, 29 Aug 2025 11:40:43 -0400 Subject: [PATCH 069/103] Added AGPL license tooptional cua-som component --- libs/python/som/LICENSE | 661 ++++++++++++++++++++++++++++++++++++++++ 1 file changed, 661 insertions(+) create mode 100644 libs/python/som/LICENSE diff --git a/libs/python/som/LICENSE b/libs/python/som/LICENSE new file mode 100644 index 00000000..691cd005 --- /dev/null +++ b/libs/python/som/LICENSE @@ -0,0 +1,661 @@ + GNU AFFERO GENERAL PUBLIC LICENSE + Version 3, 19 November 2007 + + Copyright (C) 2007 Free Software Foundation, Inc. + Everyone is permitted to copy and distribute verbatim copies + of this license document, but changing it is not allowed. + + Preamble + + The GNU Affero General Public License is a free, copyleft license for +software and other kinds of works, specifically designed to ensure +cooperation with the community in the case of network server software. + + The licenses for most software and other practical works are designed +to take away your freedom to share and change the works. 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From b378ce20278fb0d202625fccdcb089871c17beac Mon Sep 17 00:00:00 2001 From: James Murdza Date: Thu, 28 Aug 2025 08:30:21 -0400 Subject: [PATCH 070/103] Fix broken links --- docs/content/docs/agent-sdk/callbacks/index.mdx | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/docs/content/docs/agent-sdk/callbacks/index.mdx b/docs/content/docs/agent-sdk/callbacks/index.mdx index a432f5d4..3c229e7b 100644 --- a/docs/content/docs/agent-sdk/callbacks/index.mdx +++ b/docs/content/docs/agent-sdk/callbacks/index.mdx @@ -8,8 +8,8 @@ This section details the various callbacks available in the Agent SDK. ## Available Callbacks -- [Agent Lifecycle](agent-lifecycle.mdx) -- [Cost Saving](cost-saving.mdx) -- [Logging](logging.mdx) -- [PII Anonymization](pii-anonymization.mdx) -- [Trajectories](trajectories.mdx) +- [Agent Lifecycle](agent-lifecycle) +- [Cost Saving](cost-saving) +- [Logging](logging) +- [PII Anonymization](pii-anonymization) +- [Trajectories](trajectories) From b0ed02d97484471f2bea80e8de23230ebb79f03f Mon Sep 17 00:00:00 2001 From: James Murdza Date: Thu, 28 Aug 2025 08:34:15 -0400 Subject: [PATCH 071/103] Fix links --- docs/content/docs/agent-sdk/callbacks/index.mdx | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/docs/content/docs/agent-sdk/callbacks/index.mdx b/docs/content/docs/agent-sdk/callbacks/index.mdx index 3c229e7b..edc502c4 100644 --- a/docs/content/docs/agent-sdk/callbacks/index.mdx +++ b/docs/content/docs/agent-sdk/callbacks/index.mdx @@ -8,8 +8,7 @@ This section details the various callbacks available in the Agent SDK. ## Available Callbacks -- [Agent Lifecycle](agent-lifecycle) -- [Cost Saving](cost-saving) -- [Logging](logging) -- [PII Anonymization](pii-anonymization) -- [Trajectories](trajectories) +- [Cost Saving](callbacks/cost-saving) +- [Logging](callbacks/logging) +- [PII Anonymization](callbacks/pii-anonymization) +- [Trajectories](callbacks/trajectories) \ No newline at end of file From 63b7d1ae0d10d0355a534983b9f7c8b4db9b2419 Mon Sep 17 00:00:00 2001 From: James Murdza Date: Thu, 28 Aug 2025 08:37:53 -0400 Subject: [PATCH 072/103] Clarify lifecycle and built-in callbacks --- .../docs/agent-sdk/callbacks/agent-lifecycle.mdx | 9 +-------- docs/content/docs/agent-sdk/callbacks/index.mdx | 11 ++++++----- 2 files changed, 7 insertions(+), 13 deletions(-) diff --git a/docs/content/docs/agent-sdk/callbacks/agent-lifecycle.mdx b/docs/content/docs/agent-sdk/callbacks/agent-lifecycle.mdx index 4b75ebcf..494c4a8f 100644 --- a/docs/content/docs/agent-sdk/callbacks/agent-lifecycle.mdx +++ b/docs/content/docs/agent-sdk/callbacks/agent-lifecycle.mdx @@ -42,11 +42,4 @@ Called when responses are received from agent loop. - `on_screenshot(screenshot, name)` - When screenshots are taken ### 10. `on_run_end(kwargs, old_items, new_items)` -Called when agent run completes. Finalize tracking, save trajectories. - -## Built-in Callbacks - -- **ImageRetentionCallback**: Limits recent images in context -- **BudgetManagerCallback**: Stops execution when budget exceeded -- **TrajectorySaverCallback**: Saves conversation trajectories -- **LoggingCallback**: Logs agent activities +Called when agent run completes. Finalize tracking, save trajectories. \ No newline at end of file diff --git a/docs/content/docs/agent-sdk/callbacks/index.mdx b/docs/content/docs/agent-sdk/callbacks/index.mdx index edc502c4..9d5766f1 100644 --- a/docs/content/docs/agent-sdk/callbacks/index.mdx +++ b/docs/content/docs/agent-sdk/callbacks/index.mdx @@ -4,11 +4,12 @@ title: Callbacks Callbacks in the Agent SDK provide hooks into the agent's lifecycle, allowing for custom functionality to be executed at various stages of an agent's run. They enable extensibility by allowing developers to integrate their own logic for tasks such as logging, cost management, and data anonymization. -This section details the various callbacks available in the Agent SDK. +The callback lifecycle is described in [Agent Lifecycle](callbacks/agent-lifecycle). -## Available Callbacks +## Built-in Callbacks -- [Cost Saving](callbacks/cost-saving) -- [Logging](callbacks/logging) +- [BudgetManagerCallback](callbacks/cost-saving): Stops execution when budget exceeded +- [LoggingCallback](callbacks/trajectories): Logs agent activities +- **ImageRetentionCallback**: Limits recent images in context +- **TrajectorySaverCallback**: Saves conversation trajectories - [PII Anonymization](callbacks/pii-anonymization) -- [Trajectories](callbacks/trajectories) \ No newline at end of file From 6d43977db626205a04ec73626e484bc9deb28f16 Mon Sep 17 00:00:00 2001 From: James Murdza Date: Thu, 28 Aug 2025 08:48:27 -0400 Subject: [PATCH 073/103] Move text from API Reference to Agent Playbook section --- docs/content/docs/agent-sdk/agent-loops.mdx | 55 +++++++++ .../docs/agent-sdk/callbacks/index.mdx | 14 +++ docs/content/docs/libraries/agent/index.mdx | 107 +----------------- 3 files changed, 75 insertions(+), 101 deletions(-) diff --git a/docs/content/docs/agent-sdk/agent-loops.mdx b/docs/content/docs/agent-sdk/agent-loops.mdx index 0be4e009..22b54836 100644 --- a/docs/content/docs/agent-sdk/agent-loops.mdx +++ b/docs/content/docs/agent-sdk/agent-loops.mdx @@ -30,3 +30,58 @@ async for result in agent.run(prompt): ``` For a list of supported models and configurations, see the [Supported Agents](./supported-agents/computer-use-agents) page. + +### ComputerAgent Constructor Options + +The `ComputerAgent` constructor provides a wide range of options for customizing agent behavior, tool integration, callbacks, resource management, and more. + +| Parameter | Type | Default | Description | +| --------------------------- | ----------------- | ------------ | ---------------------------------------------------------------------------------------------------- | +| `model` | `str` | **required** | Model name (e.g., "claude-3-5-sonnet-20241022", "computer-use-preview", "omni+vertex_ai/gemini-pro") | +| `tools` | `List[Any]` | `None` | List of tools (e.g., computer objects, decorated functions) | +| `custom_loop` | `Callable` | `None` | Custom agent loop function (overrides auto-selection) | +| `only_n_most_recent_images` | `int` | `None` | If set, only keep the N most recent images in message history (adds ImageRetentionCallback) | +| `callbacks` | `List[Any]` | `None` | List of AsyncCallbackHandler instances for preprocessing/postprocessing | +| `verbosity` | `int` | `None` | Logging level (`logging.DEBUG`, `logging.INFO`, etc.; adds LoggingCallback) | +| `trajectory_dir` | `str` | `None` | Directory to save trajectory data (adds TrajectorySaverCallback) | +| `max_retries` | `int` | `3` | Maximum number of retries for failed API calls | +| `screenshot_delay` | `float` \| `int` | `0.5` | Delay before screenshots (seconds) | +| `use_prompt_caching` | `bool` | `False` | Use prompt caching to avoid reprocessing the same prompt (mainly for Anthropic) | +| `max_trajectory_budget` | `float` \| `dict` | `None` | If set, adds BudgetManagerCallback to track usage costs and stop when budget is exceeded | +| `**kwargs` | _any_ | | Additional arguments passed to the agent loop | + +#### Parameter Details + +- **model**: The LLM or agent model to use. Determines which agent loop is selected unless `custom_loop` is provided. +- **tools**: List of tools the agent can use (e.g., `Computer`, sandboxed Python functions, etc.). +- **custom_loop**: Optional custom agent loop function. If provided, overrides automatic loop selection. +- **only_n_most_recent_images**: If set, only the N most recent images are kept in the message history. Useful for limiting memory usage. Automatically adds `ImageRetentionCallback`. +- **callbacks**: List of callback instances for advanced preprocessing, postprocessing, logging, or custom hooks. See [Callbacks & Extensibility](#callbacks--extensibility). +- **verbosity**: Logging level (e.g., `logging.INFO`). If set, adds a logging callback. +- **trajectory_dir**: Directory path to save full trajectory data, including screenshots and responses. Adds `TrajectorySaverCallback`. +- **max_retries**: Maximum number of retries for failed API calls (default: 3). +- **screenshot_delay**: Delay (in seconds) before taking screenshots (default: 0.5). +- **use_prompt_caching**: Enables prompt caching for repeated prompts (mainly for Anthropic models). +- **max_trajectory_budget**: If set (float or dict), adds a budget manager callback that tracks usage costs and stops execution if the budget is exceeded. Dict allows advanced options (e.g., `{ "max_budget": 5.0, "raise_error": True }`). +- **\*\*kwargs**: Any additional keyword arguments are passed through to the agent loop or model provider. + +**Example with advanced options:** + +```python +from agent import ComputerAgent +from computer import Computer +from agent.callbacks import ImageRetentionCallback + +agent = ComputerAgent( + model="anthropic/claude-3-5-sonnet-20241022", + tools=[Computer(...)], + only_n_most_recent_images=3, + callbacks=[ImageRetentionCallback(only_n_most_recent_images=3)], + verbosity=logging.INFO, + trajectory_dir="trajectories", + max_retries=5, + screenshot_delay=1.0, + use_prompt_caching=True, + max_trajectory_budget={"max_budget": 5.0, "raise_error": True} +) +``` \ No newline at end of file diff --git a/docs/content/docs/agent-sdk/callbacks/index.mdx b/docs/content/docs/agent-sdk/callbacks/index.mdx index 9d5766f1..0d0f7de4 100644 --- a/docs/content/docs/agent-sdk/callbacks/index.mdx +++ b/docs/content/docs/agent-sdk/callbacks/index.mdx @@ -6,6 +6,20 @@ Callbacks in the Agent SDK provide hooks into the agent's lifecycle, allowing fo The callback lifecycle is described in [Agent Lifecycle](callbacks/agent-lifecycle). +## Usage + +You can add preprocessing and postprocessing hooks using callbacks, or write your own by subclassing `AsyncCallbackHandler`: + +```python +from agent.callbacks import ImageRetentionCallback, PIIAnonymizationCallback + +agent = ComputerAgent( + model="anthropic/claude-3-5-sonnet-20241022", + tools=[computer], + callbacks=[ImageRetentionCallback(only_n_most_recent_images=3)] +) +``` + ## Built-in Callbacks - [BudgetManagerCallback](callbacks/cost-saving): Stops execution when budget exceeded diff --git a/docs/content/docs/libraries/agent/index.mdx b/docs/content/docs/libraries/agent/index.mdx index f0e1ab77..6772d5c8 100644 --- a/docs/content/docs/libraries/agent/index.mdx +++ b/docs/content/docs/libraries/agent/index.mdx @@ -8,109 +8,14 @@ github: The Agent library provides the ComputerAgent class and tools for building AI agents that automate workflows on Cua Computers. -## Reference +## Agent Loops -### Basic Usage +See the [Agent Loops](../agent-sdk/agent-loops) documentation for how agents process information and take actions. -```python -from agent import ComputerAgent -from computer import Computer +## Chat History -computer = Computer() # Connect to a cua container -agent = ComputerAgent( - model="anthropic/claude-3-5-sonnet-20241022", - tools=[computer] -) +See the [Chat History](../agent-sdk/chat-history) documentation for managing conversational context and turn-by-turn interactions. -prompt = "open github, navigate to trycua/cua" +## Callbacks -async for result in agent.run(prompt): - print("Agent:", result["output"][-1]["content"][0]["text"]) -``` - ---- - -### ComputerAgent Constructor Options - -The `ComputerAgent` constructor provides a wide range of options for customizing agent behavior, tool integration, callbacks, resource management, and more. - -| Parameter | Type | Default | Description | -| --------------------------- | ----------------- | ------------ | ---------------------------------------------------------------------------------------------------- | -| `model` | `str` | **required** | Model name (e.g., "claude-3-5-sonnet-20241022", "computer-use-preview", "omni+vertex_ai/gemini-pro") | -| `tools` | `List[Any]` | `None` | List of tools (e.g., computer objects, decorated functions) | -| `custom_loop` | `Callable` | `None` | Custom agent loop function (overrides auto-selection) | -| `only_n_most_recent_images` | `int` | `None` | If set, only keep the N most recent images in message history (adds ImageRetentionCallback) | -| `callbacks` | `List[Any]` | `None` | List of AsyncCallbackHandler instances for preprocessing/postprocessing | -| `verbosity` | `int` | `None` | Logging level (`logging.DEBUG`, `logging.INFO`, etc.; adds LoggingCallback) | -| `trajectory_dir` | `str` | `None` | Directory to save trajectory data (adds TrajectorySaverCallback) | -| `max_retries` | `int` | `3` | Maximum number of retries for failed API calls | -| `screenshot_delay` | `float` \| `int` | `0.5` | Delay before screenshots (seconds) | -| `use_prompt_caching` | `bool` | `False` | Use prompt caching to avoid reprocessing the same prompt (mainly for Anthropic) | -| `max_trajectory_budget` | `float` \| `dict` | `None` | If set, adds BudgetManagerCallback to track usage costs and stop when budget is exceeded | -| `**kwargs` | _any_ | | Additional arguments passed to the agent loop | - -#### Parameter Details - -- **model**: The LLM or agent model to use. Determines which agent loop is selected unless `custom_loop` is provided. -- **tools**: List of tools the agent can use (e.g., `Computer`, sandboxed Python functions, etc.). -- **custom_loop**: Optional custom agent loop function. If provided, overrides automatic loop selection. -- **only_n_most_recent_images**: If set, only the N most recent images are kept in the message history. Useful for limiting memory usage. Automatically adds `ImageRetentionCallback`. -- **callbacks**: List of callback instances for advanced preprocessing, postprocessing, logging, or custom hooks. See [Callbacks & Extensibility](#callbacks--extensibility). -- **verbosity**: Logging level (e.g., `logging.INFO`). If set, adds a logging callback. -- **trajectory_dir**: Directory path to save full trajectory data, including screenshots and responses. Adds `TrajectorySaverCallback`. -- **max_retries**: Maximum number of retries for failed API calls (default: 3). -- **screenshot_delay**: Delay (in seconds) before taking screenshots (default: 0.5). -- **use_prompt_caching**: Enables prompt caching for repeated prompts (mainly for Anthropic models). -- **max_trajectory_budget**: If set (float or dict), adds a budget manager callback that tracks usage costs and stops execution if the budget is exceeded. Dict allows advanced options (e.g., `{ "max_budget": 5.0, "raise_error": True }`). -- **\*\*kwargs**: Any additional keyword arguments are passed through to the agent loop or model provider. - -**Example with advanced options:** - -```python -from agent import ComputerAgent -from computer import Computer -from agent.callbacks import ImageRetentionCallback - -agent = ComputerAgent( - model="anthropic/claude-3-5-sonnet-20241022", - tools=[Computer(...)], - only_n_most_recent_images=3, - callbacks=[ImageRetentionCallback(only_n_most_recent_images=3)], - verbosity=logging.INFO, - trajectory_dir="trajectories", - max_retries=5, - screenshot_delay=1.0, - use_prompt_caching=True, - max_trajectory_budget={"max_budget": 5.0, "raise_error": True} -) -``` - ---- - -### Message Array (Multi-turn) - -```python -messages = [ - {"role": "user", "content": "go to trycua on gh"}, - # ... (reasoning, computer_call, computer_call_output, etc) -] -async for result in agent.run(messages): - # Handle output, tool invocations, screenshots, etc. - print("Agent:", result["output"][-1]["content"][0]["text"]) - messages += result["output"] # Add agent output to message array - ... -``` - -### Callbacks & Extensibility - -You can add preprocessing and postprocessing hooks using callbacks, or write your own by subclassing `AsyncCallbackHandler`: - -```python -from agent.callbacks import ImageRetentionCallback, PIIAnonymizationCallback - -agent = ComputerAgent( - model="anthropic/claude-3-5-sonnet-20241022", - tools=[computer], - callbacks=[ImageRetentionCallback(only_n_most_recent_images=3)] -) -``` +See the [Callbacks](../agent-sdk/callbacks) documentation for extending and customizing agent behavior with custom hooks. From 110e6482c1398d22cc84a97456557efdcf8a2f16 Mon Sep 17 00:00:00 2001 From: James Murdza Date: Thu, 28 Aug 2025 08:55:56 -0400 Subject: [PATCH 074/103] Consolidate constructor items table and list --- docs/content/docs/agent-sdk/agent-loops.mdx | 55 ++++++++++----------- 1 file changed, 25 insertions(+), 30 deletions(-) diff --git a/docs/content/docs/agent-sdk/agent-loops.mdx b/docs/content/docs/agent-sdk/agent-loops.mdx index 22b54836..d443c3ce 100644 --- a/docs/content/docs/agent-sdk/agent-loops.mdx +++ b/docs/content/docs/agent-sdk/agent-loops.mdx @@ -31,39 +31,34 @@ async for result in agent.run(prompt): For a list of supported models and configurations, see the [Supported Agents](./supported-agents/computer-use-agents) page. -### ComputerAgent Constructor Options +### Parameters The `ComputerAgent` constructor provides a wide range of options for customizing agent behavior, tool integration, callbacks, resource management, and more. -| Parameter | Type | Default | Description | -| --------------------------- | ----------------- | ------------ | ---------------------------------------------------------------------------------------------------- | -| `model` | `str` | **required** | Model name (e.g., "claude-3-5-sonnet-20241022", "computer-use-preview", "omni+vertex_ai/gemini-pro") | -| `tools` | `List[Any]` | `None` | List of tools (e.g., computer objects, decorated functions) | -| `custom_loop` | `Callable` | `None` | Custom agent loop function (overrides auto-selection) | -| `only_n_most_recent_images` | `int` | `None` | If set, only keep the N most recent images in message history (adds ImageRetentionCallback) | -| `callbacks` | `List[Any]` | `None` | List of AsyncCallbackHandler instances for preprocessing/postprocessing | -| `verbosity` | `int` | `None` | Logging level (`logging.DEBUG`, `logging.INFO`, etc.; adds LoggingCallback) | -| `trajectory_dir` | `str` | `None` | Directory to save trajectory data (adds TrajectorySaverCallback) | -| `max_retries` | `int` | `3` | Maximum number of retries for failed API calls | -| `screenshot_delay` | `float` \| `int` | `0.5` | Delay before screenshots (seconds) | -| `use_prompt_caching` | `bool` | `False` | Use prompt caching to avoid reprocessing the same prompt (mainly for Anthropic) | -| `max_trajectory_budget` | `float` \| `dict` | `None` | If set, adds BudgetManagerCallback to track usage costs and stop when budget is exceeded | -| `**kwargs` | _any_ | | Additional arguments passed to the agent loop | - -#### Parameter Details - -- **model**: The LLM or agent model to use. Determines which agent loop is selected unless `custom_loop` is provided. -- **tools**: List of tools the agent can use (e.g., `Computer`, sandboxed Python functions, etc.). -- **custom_loop**: Optional custom agent loop function. If provided, overrides automatic loop selection. -- **only_n_most_recent_images**: If set, only the N most recent images are kept in the message history. Useful for limiting memory usage. Automatically adds `ImageRetentionCallback`. -- **callbacks**: List of callback instances for advanced preprocessing, postprocessing, logging, or custom hooks. See [Callbacks & Extensibility](#callbacks--extensibility). -- **verbosity**: Logging level (e.g., `logging.INFO`). If set, adds a logging callback. -- **trajectory_dir**: Directory path to save full trajectory data, including screenshots and responses. Adds `TrajectorySaverCallback`. -- **max_retries**: Maximum number of retries for failed API calls (default: 3). -- **screenshot_delay**: Delay (in seconds) before taking screenshots (default: 0.5). -- **use_prompt_caching**: Enables prompt caching for repeated prompts (mainly for Anthropic models). -- **max_trajectory_budget**: If set (float or dict), adds a budget manager callback that tracks usage costs and stops execution if the budget is exceeded. Dict allows advanced options (e.g., `{ "max_budget": 5.0, "raise_error": True }`). -- **\*\*kwargs**: Any additional keyword arguments are passed through to the agent loop or model provider. +- `model` (`str`): Default: **required** + The LLM or agent model to use. Determines which agent loop is selected unless `custom_loop` is provided. (e.g., "claude-3-5-sonnet-20241022", "computer-use-preview", "omni+vertex_ai/gemini-pro") +- `tools` (`List[Any]`): + List of tools the agent can use (e.g., `Computer`, sandboxed Python functions, etc.). +- `custom_loop` (`Callable`): + Optional custom agent loop function. If provided, overrides automatic loop selection. +- `only_n_most_recent_images` (`int`): + If set, only the N most recent images are kept in the message history. Useful for limiting memory usage. Automatically adds `ImageRetentionCallback`. +- `callbacks` (`List[Any]`): + List of callback instances for advanced preprocessing, postprocessing, logging, or custom hooks. See [Callbacks & Extensibility](#callbacks--extensibility). +- `verbosity` (`int`): + Logging level (e.g., `logging.INFO`). If set, adds a logging callback. +- `trajectory_dir` (`str`): + Directory path to save full trajectory data, including screenshots and responses. Adds `TrajectorySaverCallback`. +- `max_retries` (`int`): Default: `3` + Maximum number of retries for failed API calls (default: 3). +- `screenshot_delay` (`float` | `int`): Default: `0.5` + Delay (in seconds) before taking screenshots (default: 0.5). +- `use_prompt_caching` (`bool`): Default: `False` + Enables prompt caching for repeated prompts (mainly for Anthropic models). +- `max_trajectory_budget` (`float` | `dict`): + If set (float or dict), adds a budget manager callback that tracks usage costs and stops execution if the budget is exceeded. Dict allows advanced options (e.g., `{ "max_budget": 5.0, "raise_error": True }`). +- `**kwargs` (`any`): + Any additional keyword arguments are passed through to the agent loop or model provider. **Example with advanced options:** From e17f6106c80640a96b804822b8230c714d7aaa75 Mon Sep 17 00:00:00 2001 From: James Murdza Date: Thu, 28 Aug 2025 11:07:20 -0400 Subject: [PATCH 075/103] Move text from README to Cua documentation --- docs/content/docs/agent-sdk/agent-loops.mdx | 91 ++++- .../docs/agent-sdk/callbacks/cost-saving.mdx | 12 +- .../docs/agent-sdk/callbacks/index.mdx | 47 ++- .../docs/agent-sdk/callbacks/trajectories.mdx | 10 +- .../{sandboxed-tools.mdx => custom-tools.mdx} | 24 +- docs/content/docs/agent-sdk/meta.json | 4 +- .../supported-model-providers/index.mdx | 32 ++ .../local-models.mdx | 0 docs/content/docs/quickstart-devs.mdx | 10 + libs/python/agent/README.md | 317 +----------------- 10 files changed, 223 insertions(+), 324 deletions(-) rename docs/content/docs/agent-sdk/{sandboxed-tools.mdx => custom-tools.mdx} (65%) create mode 100644 docs/content/docs/agent-sdk/supported-model-providers/index.mdx rename docs/content/docs/agent-sdk/{ => supported-model-providers}/local-models.mdx (100%) diff --git a/docs/content/docs/agent-sdk/agent-loops.mdx b/docs/content/docs/agent-sdk/agent-loops.mdx index d443c3ce..6a18f064 100644 --- a/docs/content/docs/agent-sdk/agent-loops.mdx +++ b/docs/content/docs/agent-sdk/agent-loops.mdx @@ -22,7 +22,7 @@ agent = ComputerAgent( tools=[computer] ) -prompt = "open github, navigate to trycua/cua" +prompt = "Take a screenshot and tell me what you see" async for result in agent.run(prompt): if result["output"][-1]["type"] == "message": @@ -31,6 +31,69 @@ async for result in agent.run(prompt): For a list of supported models and configurations, see the [Supported Agents](./supported-agents/computer-use-agents) page. +### Response Format + +```python +{ + "output": [ + { + "type": "message", + "role": "assistant", + "content": [{"type": "output_text", "text": "I can see..."}] + }, + { + "type": "computer_call", + "action": {"type": "screenshot"}, + "call_id": "call_123" + }, + { + "type": "computer_call_output", + "call_id": "call_123", + "output": {"image_url": "data:image/png;base64,..."} + } + ], + "usage": { + "prompt_tokens": 150, + "completion_tokens": 75, + "total_tokens": 225, + "response_cost": 0.01, + } +} +``` + +### Environment Variables + +Use the following environment variables to configure the agent and its access to cloud computers and LLM providers: + +```bash +# Computer instance (cloud) +export CUA_CONTAINER_NAME="your-container-name" +export CUA_API_KEY="your-cua-api-key" + +# LLM API keys +export ANTHROPIC_API_KEY="your-anthropic-key" +export OPENAI_API_KEY="your-openai-key" +``` + +### Input and output + +The input prompt passed to `Agent.run` can either be a string or a list of message dictionaries: + +```python +messages = [ + { + "role": "user", + "content": "Take a screenshot and describe what you see" + }, + { + "role": "assistant", + "content": "I'll take a screenshot for you." + } +] +``` + +The output is an AsyncGenerator that yields response chunks. + ### Parameters The `ComputerAgent` constructor provides a wide range of options for customizing agent behavior, tool integration, callbacks, resource management, and more. @@ -79,4 +142,30 @@ agent = ComputerAgent( use_prompt_caching=True, max_trajectory_budget={"max_budget": 5.0, "raise_error": True} ) +``` + +### Streaming Responses + +```python +async for result in agent.run(messages, stream=True): + # Process streaming chunks + for item in result["output"]: + if item["type"] == "message": + print(item["content"][0]["text"], end="", flush=True) + elif item["type"] == "computer_call": + action = item["action"] + print(f"\n[Action: {action['type']}]") +``` + +### Error Handling + +```python +try: + async for result in agent.run(messages): + # Process results + pass +except BudgetExceededException: + print("Budget limit exceeded") +except Exception as e: + print(f"Agent error: {e}") ``` \ No newline at end of file diff --git a/docs/content/docs/agent-sdk/callbacks/cost-saving.mdx b/docs/content/docs/agent-sdk/callbacks/cost-saving.mdx index 9a543dc1..0787b1f6 100644 --- a/docs/content/docs/agent-sdk/callbacks/cost-saving.mdx +++ b/docs/content/docs/agent-sdk/callbacks/cost-saving.mdx @@ -28,19 +28,23 @@ agent = ComputerAgent( ## Budget Manager Shorthand ```python +# Simple budget limit agent = ComputerAgent( model="anthropic/claude-3-5-sonnet-20241022", - tools=[computer], - max_trajectory_budget=5.0 # Auto-adds BudgetManagerCallback + max_trajectory_budget=5.0 # $5 limit ) ``` **Or with options:** ```python +# Advanced budget configuration agent = ComputerAgent( model="anthropic/claude-3-5-sonnet-20241022", - tools=[computer], - max_trajectory_budget={"max_budget": 5.0, "raise_error": True} + max_trajectory_budget={ + "max_budget": 10.0, + "raise_error": True, # Raise error when exceeded + "reset_after_each_run": False # Persistent across runs + } ) ``` diff --git a/docs/content/docs/agent-sdk/callbacks/index.mdx b/docs/content/docs/agent-sdk/callbacks/index.mdx index 0d0f7de4..590c236a 100644 --- a/docs/content/docs/agent-sdk/callbacks/index.mdx +++ b/docs/content/docs/agent-sdk/callbacks/index.mdx @@ -4,26 +4,61 @@ title: Callbacks Callbacks in the Agent SDK provide hooks into the agent's lifecycle, allowing for custom functionality to be executed at various stages of an agent's run. They enable extensibility by allowing developers to integrate their own logic for tasks such as logging, cost management, and data anonymization. -The callback lifecycle is described in [Agent Lifecycle](callbacks/agent-lifecycle). - ## Usage -You can add preprocessing and postprocessing hooks using callbacks, or write your own by subclassing `AsyncCallbackHandler`: +You can add preprocessing and postprocessing hooks using callbacks, or write your own by subclassing `AsyncCallbackHandler`. + +### Built-in Callbacks + +Built-in callbacks can be used as follows: ```python -from agent.callbacks import ImageRetentionCallback, PIIAnonymizationCallback +from agent.callbacks import ( + ImageRetentionCallback, + TrajectorySaverCallback, + BudgetManagerCallback, + LoggingCallback +) agent = ComputerAgent( model="anthropic/claude-3-5-sonnet-20241022", tools=[computer], - callbacks=[ImageRetentionCallback(only_n_most_recent_images=3)] + callbacks=[ + ImageRetentionCallback(only_n_most_recent_images=3), + TrajectorySaverCallback(trajectory_dir="trajectories"), + BudgetManagerCallback(max_budget=10.0, raise_error=True), + LoggingCallback(level=logging.INFO) + ] ) ``` -## Built-in Callbacks +The following built-in callbacks are available: - [BudgetManagerCallback](callbacks/cost-saving): Stops execution when budget exceeded - [LoggingCallback](callbacks/trajectories): Logs agent activities - **ImageRetentionCallback**: Limits recent images in context - **TrajectorySaverCallback**: Saves conversation trajectories - [PII Anonymization](callbacks/pii-anonymization) + +### Custom Callbacks + +Create custom callbacks using knowlege of the callback lifecycle as described in [Agent Lifecycle](callbacks/agent-lifecycle). + +```python +from agent.callbacks.base import AsyncCallbackHandler + +class CustomCallback(AsyncCallbackHandler): + async def on_llm_start(self, messages): + """Preprocess messages before LLM call""" + # Add custom preprocessing logic + return messages + + async def on_llm_end(self, messages): + """Postprocess messages after LLM call""" + # Add custom postprocessing logic + return messages + + async def on_usage(self, usage): + """Track usage information""" + print(f"Tokens used: {usage.total_tokens}") +``` diff --git a/docs/content/docs/agent-sdk/callbacks/trajectories.mdx b/docs/content/docs/agent-sdk/callbacks/trajectories.mdx index 8799c5eb..8118f217 100644 --- a/docs/content/docs/agent-sdk/callbacks/trajectories.mdx +++ b/docs/content/docs/agent-sdk/callbacks/trajectories.mdx @@ -29,8 +29,8 @@ agent = ComputerAgent( ```python agent = ComputerAgent( model="anthropic/claude-3-5-sonnet-20241022", - tools=[computer], - trajectory_dir="trajectories" # Auto-adds TrajectorySaverCallback + trajectory_dir="trajectories", # Auto-save trajectories + tools=[computer] ) ``` @@ -46,6 +46,12 @@ The viewer provides: ## Trajectory Structure +Trajectories are saved with: +- Complete conversation history +- Usage statistics and costs +- Timestamps and metadata +- Screenshots and computer actions + Each trajectory contains: - **metadata.json**: Run info, timestamps, usage stats (`total_tokens`, `response_cost`) - **turn_000/**: Turn-by-turn conversation history (api calls, responses, computer calls, screenshots) diff --git a/docs/content/docs/agent-sdk/sandboxed-tools.mdx b/docs/content/docs/agent-sdk/custom-tools.mdx similarity index 65% rename from docs/content/docs/agent-sdk/sandboxed-tools.mdx rename to docs/content/docs/agent-sdk/custom-tools.mdx index 8fafce7a..00847cf6 100644 --- a/docs/content/docs/agent-sdk/sandboxed-tools.mdx +++ b/docs/content/docs/agent-sdk/custom-tools.mdx @@ -1,11 +1,29 @@ --- -title: Sandboxed Tools -slug: sandboxed-tools +title: Custom Tools +slug: custom-tools --- The Agent SDK supports defining custom Python tools that run securely in sandboxed environments on remote Cua Computers. This enables safe execution of user-defined functions, isolation of dependencies, and robust automation workflows. -## Example: Defining a Sandboxed Tool +## Custom Tools + +Define a custom tool for an agent: + +```python +def calculate(a: int, b: int) -> int: + """Calculate the sum of two integers""" + return a + b + +# Use with agent +agent = ComputerAgent( + model="anthropic/claude-3-5-sonnet-20241022", + tools=[computer, calculate] +) +``` + +## Sandboxed Tools + +Define a sandboxed tool: ```python from computer.helpers import sandboxed diff --git a/docs/content/docs/agent-sdk/meta.json b/docs/content/docs/agent-sdk/meta.json index 5db33148..07bf7199 100644 --- a/docs/content/docs/agent-sdk/meta.json +++ b/docs/content/docs/agent-sdk/meta.json @@ -4,11 +4,11 @@ "pages": [ "agent-loops", "supported-agents", + "supported-model-providers", "chat-history", "callbacks", - "sandboxed-tools", + "custom-tools", "custom-computer-handlers", - "local-models", "prompt-caching", "usage-tracking", "benchmarks", diff --git a/docs/content/docs/agent-sdk/supported-model-providers/index.mdx b/docs/content/docs/agent-sdk/supported-model-providers/index.mdx new file mode 100644 index 00000000..68e372b1 --- /dev/null +++ b/docs/content/docs/agent-sdk/supported-model-providers/index.mdx @@ -0,0 +1,32 @@ +--- +title: Supported Model Providers +--- + +## Supported Models + +### Anthropic Claude (Computer Use API) +```python +model="anthropic/claude-3-5-sonnet-20241022" +model="anthropic/claude-3-7-sonnet-20250219" +model="anthropic/claude-opus-4-20250514" +model="anthropic/claude-sonnet-4-20250514" +``` + +### OpenAI Computer Use Preview +```python +model="openai/computer-use-preview" +``` + +### UI-TARS (Local or Huggingface Inference) +```python +model="huggingface-local/ByteDance-Seed/UI-TARS-1.5-7B" +model="ollama_chat/0000/ui-tars-1.5-7b" +``` + +### Omniparser + Any LLM +```python +model="omniparser+ollama_chat/mistral-small3.2" +model="omniparser+vertex_ai/gemini-pro" +model="omniparser+anthropic/claude-3-5-sonnet-20241022" +model="omniparser+openai/gpt-4o" +``` \ No newline at end of file diff --git a/docs/content/docs/agent-sdk/local-models.mdx b/docs/content/docs/agent-sdk/supported-model-providers/local-models.mdx similarity index 100% rename from docs/content/docs/agent-sdk/local-models.mdx rename to docs/content/docs/agent-sdk/supported-model-providers/local-models.mdx diff --git a/docs/content/docs/quickstart-devs.mdx b/docs/content/docs/quickstart-devs.mdx index 9b220081..37367709 100644 --- a/docs/content/docs/quickstart-devs.mdx +++ b/docs/content/docs/quickstart-devs.mdx @@ -87,6 +87,16 @@ Choose how you want to run your cua computer. **Cloud containers are recommended ```bash pip install "cua-agent[all]" cua-computer + + # or install specific providers + pip install "cua-agent[openai]" # OpenAI computer-use-preview support + pip install "cua-agent[anthropic]" # Anthropic Claude support + pip install "cua-agent[omni]" # Omniparser + any LLM support + pip install "cua-agent[uitars]" # UI-TARS + pip install "cua-agent[uitars-mlx]" # UI-TARS + MLX support + pip install "cua-agent[uitars-hf]" # UI-TARS + Huggingface support + pip install "cua-agent[glm45v-hf]" # GLM-4.5V + Huggingface support + pip install "cua-agent[ui]" # Gradio UI support ``` diff --git a/libs/python/agent/README.md b/libs/python/agent/README.md index cec3cd45..ed90076b 100644 --- a/libs/python/agent/README.md +++ b/libs/python/agent/README.md @@ -29,16 +29,6 @@ ```bash pip install "cua-agent[all]" - -# or install specific providers -pip install "cua-agent[openai]" # OpenAI computer-use-preview support -pip install "cua-agent[anthropic]" # Anthropic Claude support -pip install "cua-agent[omni]" # Omniparser + any LLM support -pip install "cua-agent[uitars]" # UI-TARS -pip install "cua-agent[uitars-mlx]" # UI-TARS + MLX support -pip install "cua-agent[uitars-hf]" # UI-TARS + Huggingface support -pip install "cua-agent[glm45v-hf]" # GLM-4.5V + Huggingface support -pip install "cua-agent[ui]" # Gradio UI support ``` ## Quick Start @@ -79,303 +69,18 @@ if __name__ == "__main__": asyncio.run(main()) ``` -## Supported Models +## Docs -### Anthropic Claude (Computer Use API) -```python -model="anthropic/claude-3-5-sonnet-20241022" -model="anthropic/claude-3-7-sonnet-20250219" -model="anthropic/claude-opus-4-20250514" -model="anthropic/claude-sonnet-4-20250514" -``` - -### OpenAI Computer Use Preview -```python -model="openai/computer-use-preview" -``` - -### UI-TARS (Local or Huggingface Inference) -```python -model="huggingface-local/ByteDance-Seed/UI-TARS-1.5-7B" -model="ollama_chat/0000/ui-tars-1.5-7b" -``` - -### Omniparser + Any LLM -```python -model="omniparser+ollama_chat/mistral-small3.2" -model="omniparser+vertex_ai/gemini-pro" -model="omniparser+anthropic/claude-3-5-sonnet-20241022" -model="omniparser+openai/gpt-4o" -``` - -## Custom Tools - -Define custom tools using decorated functions: - -```python -from computer.helpers import sandboxed - -@sandboxed() -def read_file(location: str) -> str: - """Read contents of a file - - Parameters - ---------- - location : str - Path to the file to read - - Returns - ------- - str - Contents of the file or error message - """ - try: - with open(location, 'r') as f: - return f.read() - except Exception as e: - return f"Error reading file: {str(e)}" - -def calculate(a: int, b: int) -> int: - """Calculate the sum of two integers""" - return a + b - -# Use with agent -agent = ComputerAgent( - model="anthropic/claude-3-5-sonnet-20241022", - tools=[computer, read_file, calculate] -) -``` - -## Callbacks System - -agent provides a comprehensive callback system for extending functionality: - -### Built-in Callbacks - -```python -from agent.callbacks import ( - ImageRetentionCallback, - TrajectorySaverCallback, - BudgetManagerCallback, - LoggingCallback -) - -agent = ComputerAgent( - model="anthropic/claude-3-5-sonnet-20241022", - tools=[computer], - callbacks=[ - ImageRetentionCallback(only_n_most_recent_images=3), - TrajectorySaverCallback(trajectory_dir="trajectories"), - BudgetManagerCallback(max_budget=10.0, raise_error=True), - LoggingCallback(level=logging.INFO) - ] -) -``` - -### Custom Callbacks - -```python -from agent.callbacks.base import AsyncCallbackHandler - -class CustomCallback(AsyncCallbackHandler): - async def on_llm_start(self, messages): - """Preprocess messages before LLM call""" - # Add custom preprocessing logic - return messages - - async def on_llm_end(self, messages): - """Postprocess messages after LLM call""" - # Add custom postprocessing logic - return messages - - async def on_usage(self, usage): - """Track usage information""" - print(f"Tokens used: {usage.total_tokens}") -``` - -## Budget Management - -Control costs with built-in budget management: - -```python -# Simple budget limit -agent = ComputerAgent( - model="anthropic/claude-3-5-sonnet-20241022", - max_trajectory_budget=5.0 # $5 limit -) - -# Advanced budget configuration -agent = ComputerAgent( - model="anthropic/claude-3-5-sonnet-20241022", - max_trajectory_budget={ - "max_budget": 10.0, - "raise_error": True, # Raise error when exceeded - "reset_after_each_run": False # Persistent across runs - } -) -``` - -## Trajectory Management - -Save and replay agent conversations: - -```python -agent = ComputerAgent( - model="anthropic/claude-3-5-sonnet-20241022", - trajectory_dir="trajectories", # Auto-save trajectories - tools=[computer] -) - -# Trajectories are saved with: -# - Complete conversation history -# - Usage statistics and costs -# - Timestamps and metadata -# - Screenshots and computer actions -``` - -## Configuration Options - -### ComputerAgent Parameters - -- `model`: Model identifier (required) -- `tools`: List of computer objects and decorated functions -- `callbacks`: List of callback handlers for extensibility -- `only_n_most_recent_images`: Limit recent images to prevent context overflow -- `verbosity`: Logging level (logging.INFO, logging.DEBUG, etc.) -- `trajectory_dir`: Directory to save conversation trajectories -- `max_retries`: Maximum API call retries (default: 3) -- `screenshot_delay`: Delay between actions and screenshots (default: 0.5s) -- `use_prompt_caching`: Enable prompt caching for supported models -- `max_trajectory_budget`: Budget limit configuration - -### Environment Variables - -```bash -# Computer instance (cloud) -export CUA_CONTAINER_NAME="your-container-name" -export CUA_API_KEY="your-cua-api-key" - -# LLM API keys -export ANTHROPIC_API_KEY="your-anthropic-key" -export OPENAI_API_KEY="your-openai-key" -``` - -## Advanced Usage - -### Streaming Responses - -```python -async for result in agent.run(messages, stream=True): - # Process streaming chunks - for item in result["output"]: - if item["type"] == "message": - print(item["content"][0]["text"], end="", flush=True) - elif item["type"] == "computer_call": - action = item["action"] - print(f"\n[Action: {action['type']}]") -``` - -### Interactive Chat Loop - -```python -history = [] -while True: - user_input = input("> ") - if user_input.lower() in ['quit', 'exit']: - break - - history.append({"role": "user", "content": user_input}) - - async for result in agent.run(history): - history += result["output"] - - # Display assistant responses - for item in result["output"]: - if item["type"] == "message": - print(item["content"][0]["text"]) -``` - -### Error Handling - -```python -try: - async for result in agent.run(messages): - # Process results - pass -except BudgetExceededException: - print("Budget limit exceeded") -except Exception as e: - print(f"Agent error: {e}") -``` - -## API Reference - -### ComputerAgent.run() - -```python -async def run( - self, - messages: Messages, - stream: bool = False, - **kwargs -) -> AsyncGenerator[Dict[str, Any], None]: - """ - Run the agent with the given messages. - - Args: - messages: List of message dictionaries - stream: Whether to stream the response - **kwargs: Additional arguments - - Returns: - AsyncGenerator that yields response chunks - """ -``` - -### Message Format - -```python -messages = [ - { - "role": "user", - "content": "Take a screenshot and describe what you see" - }, - { - "role": "assistant", - "content": "I'll take a screenshot for you." - } -] -``` - -### Response Format - -```python -{ - "output": [ - { - "type": "message", - "role": "assistant", - "content": [{"type": "output_text", "text": "I can see..."}] - }, - { - "type": "computer_call", - "action": {"type": "screenshot"}, - "call_id": "call_123" - }, - { - "type": "computer_call_output", - "call_id": "call_123", - "output": {"image_url": "data:image/png;base64,..."} - } - ], - "usage": { - "prompt_tokens": 150, - "completion_tokens": 75, - "total_tokens": 225, - "response_cost": 0.01, - } -} -``` +- [Agent Loops](https://trycua.com/docs/agent-sdk/agent-loops) +- [Supported Agents](https://trycua.com/docs/agent-sdk/supported-agents) +- [Supported Models](https://trycua.com/docs/agent-sdk/supported-models) +- [Chat History](https://trycua.com/docs/agent-sdk/chat-history) +- [Callbacks](https://trycua.com/docs/agent-sdk/callbacks) +- [Custom Tools](https://trycua.com/docs/agent-sdk/custom-tools) +- [Custom Computer Handlers](https://trycua.com/docs/agent-sdk/custom-computer-handlers) +- [Prompt Caching](https://trycua.com/docs/agent-sdk/prompt-caching) +- [Usage Tracking](https://trycua.com/docs/agent-sdk/usage-tracking) +- [Benchmarks](https://trycua.com/docs/agent-sdk/benchmarks) ## License From b357a9efd3984491cdba36218b564fdb900b7865 Mon Sep 17 00:00:00 2001 From: James Murdza Date: Thu, 28 Aug 2025 06:17:25 -0400 Subject: [PATCH 076/103] Move Computer UI instructions from README to Cua documentation --- .../content/docs/computer-sdk/computer-ui.mdx | 78 ++++++++++++++++++ docs/content/docs/computer-sdk/meta.json | 1 + libs/python/computer/README.md | 80 +------------------ 3 files changed, 80 insertions(+), 79 deletions(-) create mode 100644 docs/content/docs/computer-sdk/computer-ui.mdx diff --git a/docs/content/docs/computer-sdk/computer-ui.mdx b/docs/content/docs/computer-sdk/computer-ui.mdx new file mode 100644 index 00000000..e90e9f08 --- /dev/null +++ b/docs/content/docs/computer-sdk/computer-ui.mdx @@ -0,0 +1,78 @@ +--- +title: Computer UI +--- + +The computer module includes a Gradio UI for creating and sharing demonstration data. We make it easy for people to build community datasets for better computer use models with an upload to Huggingface feature. + +```bash +# Install with UI support +pip install "cua-computer[ui]" +``` + +> **Note:** For precise control of the computer, we recommend using VNC or Screen Sharing instead of the Computer Gradio UI. + +### Building and Sharing Demonstrations with Huggingface + +Follow these steps to contribute your own demonstrations: + +#### 1. Set up Huggingface Access + +Set your HF_TOKEN in a .env file or in your environment variables: + +```bash +# In .env file +HF_TOKEN=your_huggingface_token +``` + +#### 2. Launch the Computer UI + +```python +# launch_ui.py +from computer.ui.gradio.app import create_gradio_ui +from dotenv import load_dotenv +load_dotenv('.env') + +app = create_gradio_ui() +app.launch(share=False) +``` + +For examples, see [Computer UI Examples](https://github.com/trycua/cua/tree/main/examples/computer_ui_examples.py) + +#### 3. Record Your Tasks + +
+View demonstration video + +
+ +Record yourself performing various computer tasks using the UI. + +#### 4. Save Your Demonstrations + +
+View demonstration video + +
+ +Save each task by picking a descriptive name and adding relevant tags (e.g., "office", "web-browsing", "coding"). + +#### 5. Record Additional Demonstrations + +Repeat steps 3 and 4 until you have a good amount of demonstrations covering different tasks and scenarios. + +#### 6. Upload to Huggingface + +
+View demonstration video + +
+ +Upload your dataset to Huggingface by: +- Naming it as `{your_username}/{dataset_name}` +- Choosing public or private visibility +- Optionally selecting specific tags to upload only tasks with certain tags + +#### Examples and Resources + +- Example Dataset: [ddupont/test-dataset](https://huggingface.co/datasets/ddupont/test-dataset) +- Find Community Datasets: 🔍 [Browse CUA Datasets on Huggingface](https://huggingface.co/datasets?other=cua) \ No newline at end of file diff --git a/docs/content/docs/computer-sdk/meta.json b/docs/content/docs/computer-sdk/meta.json index f632538b..92e14612 100644 --- a/docs/content/docs/computer-sdk/meta.json +++ b/docs/content/docs/computer-sdk/meta.json @@ -4,6 +4,7 @@ "pages": [ "computers", "commands", + "computer-ui", "sandboxed-python" ] } diff --git a/libs/python/computer/README.md b/libs/python/computer/README.md index a75c4fe3..78c66566 100644 --- a/libs/python/computer/README.md +++ b/libs/python/computer/README.md @@ -63,82 +63,4 @@ The `cua-computer` PyPi package pulls automatically the latest executable versio Refer to this notebook for a step-by-step guide on how to use the Computer-Use Interface (CUI): -- [Computer-Use Interface (CUI)](https://github.com/trycua/cua/blob/main/notebooks/computer_nb.ipynb) - -## Using the Gradio Computer UI - -The computer module includes a Gradio UI for creating and sharing demonstration data. We make it easy for people to build community datasets for better computer use models with an upload to Huggingface feature. - -```bash -# Install with UI support -pip install "cua-computer[ui]" -``` - -> **Note:** For precise control of the computer, we recommend using VNC or Screen Sharing instead of the Computer Gradio UI. - -### Building and Sharing Demonstrations with Huggingface - -Follow these steps to contribute your own demonstrations: - -#### 1. Set up Huggingface Access - -Set your HF_TOKEN in a .env file or in your environment variables: - -```bash -# In .env file -HF_TOKEN=your_huggingface_token -``` - -#### 2. Launch the Computer UI - -```python -# launch_ui.py -from computer.ui.gradio.app import create_gradio_ui -from dotenv import load_dotenv -load_dotenv('.env') - -app = create_gradio_ui() -app.launch(share=False) -``` - -For examples, see [Computer UI Examples](https://github.com/trycua/cua/tree/main/examples/computer_ui_examples.py) - -#### 3. Record Your Tasks - -
-View demonstration video - -
- -Record yourself performing various computer tasks using the UI. - -#### 4. Save Your Demonstrations - -
-View demonstration video - -
- -Save each task by picking a descriptive name and adding relevant tags (e.g., "office", "web-browsing", "coding"). - -#### 5. Record Additional Demonstrations - -Repeat steps 3 and 4 until you have a good amount of demonstrations covering different tasks and scenarios. - -#### 6. Upload to Huggingface - -
-View demonstration video - -
- -Upload your dataset to Huggingface by: -- Naming it as `{your_username}/{dataset_name}` -- Choosing public or private visibility -- Optionally selecting specific tags to upload only tasks with certain tags - -#### Examples and Resources - -- Example Dataset: [ddupont/test-dataset](https://huggingface.co/datasets/ddupont/test-dataset) -- Find Community Datasets: 🔍 [Browse CUA Datasets on Huggingface](https://huggingface.co/datasets?other=cua) - +- [Computer-Use Interface (CUI)](https://github.com/trycua/cua/blob/main/notebooks/computer_nb.ipynb) \ No newline at end of file From e6d0b262d36918609e46807a1cb010b67b159c98 Mon Sep 17 00:00:00 2001 From: James Murdza Date: Thu, 28 Aug 2025 06:23:30 -0400 Subject: [PATCH 077/103] Use callouts for notes --- docs/content/docs/computer-sdk/computer-ui.mdx | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/docs/content/docs/computer-sdk/computer-ui.mdx b/docs/content/docs/computer-sdk/computer-ui.mdx index e90e9f08..22b131c0 100644 --- a/docs/content/docs/computer-sdk/computer-ui.mdx +++ b/docs/content/docs/computer-sdk/computer-ui.mdx @@ -9,7 +9,9 @@ The computer module includes a Gradio UI for creating and sharing demonstration pip install "cua-computer[ui]" ``` -> **Note:** For precise control of the computer, we recommend using VNC or Screen Sharing instead of the Computer Gradio UI. + +For precise control of the computer, we recommend using VNC or Screen Sharing instead of the Computer Gradio UI. + ### Building and Sharing Demonstrations with Huggingface From 2c2fb4c27493952b193e9a9aac2f1ab7db7a275e Mon Sep 17 00:00:00 2001 From: James Murdza Date: Thu, 28 Aug 2025 06:26:53 -0400 Subject: [PATCH 078/103] Add links to Cua documentation --- libs/python/computer/README.md | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/libs/python/computer/README.md b/libs/python/computer/README.md index 78c66566..5d7c3c9b 100644 --- a/libs/python/computer/README.md +++ b/libs/python/computer/README.md @@ -63,4 +63,11 @@ The `cua-computer` PyPi package pulls automatically the latest executable versio Refer to this notebook for a step-by-step guide on how to use the Computer-Use Interface (CUI): -- [Computer-Use Interface (CUI)](https://github.com/trycua/cua/blob/main/notebooks/computer_nb.ipynb) \ No newline at end of file +- [Computer-Use Interface (CUI)](https://github.com/trycua/cua/blob/main/notebooks/computer_nb.ipynb) + +## Docs + +- [Computers](https://trycua.com/docs/computer-sdk/computers) +- [Commands](https://trycua.com/docs/computer-sdk/commands) +- [Computer UI](https://trycua.com/docs/computer-sdk/computer-ui) +- [Sandboxed Python](https://trycua.com/docs/computer-sdk/sandboxed-python) From 8917592b854bbabfd99fc15fd02ea892b8923b0e Mon Sep 17 00:00:00 2001 From: James Murdza Date: Thu, 28 Aug 2025 06:41:16 -0400 Subject: [PATCH 079/103] Rewrite TypeScript README in the format of the Python README --- libs/typescript/computer/README.md | 90 ++++++++++++++---------------- 1 file changed, 42 insertions(+), 48 deletions(-) diff --git a/libs/typescript/computer/README.md b/libs/typescript/computer/README.md index b51713c2..2505ee63 100644 --- a/libs/typescript/computer/README.md +++ b/libs/typescript/computer/README.md @@ -1,28 +1,35 @@ -# Cua Computer TypeScript Library +
+

+
+ + + + Shows my svg + +
-The TypeScript library for C/cua Computer - a powerful computer control and automation library. + [![TypeScript](https://img.shields.io/badge/TypeScript-333333?logo=typescript&logoColor=white&labelColor=333333)](#) + [![macOS](https://img.shields.io/badge/macOS-000000?logo=apple&logoColor=F0F0F0)](#) + [![Discord](https://img.shields.io/badge/Discord-%235865F2.svg?&logo=discord&logoColor=white)](https://discord.com/invite/mVnXXpdE85) + [![NPM](https://img.shields.io/npm/v/@trycua/computer?color=333333)](https://www.npmjs.com/package/@trycua/computer) +

+
-## Overview +**@trycua/computer** is a Computer-Use Interface (CUI) framework powering Cua for interacting with local macOS and Linux sandboxes, Playwright-compatible, and pluggable with any AI agent systems (Cua, Langchain, CrewAI, AutoGen). Computer relies on [Lume](https://github.com/trycua/lume) for creating and managing sandbox environments. -This library is a TypeScript port of the Python computer library, providing the same functionality for controlling virtual machines and computer interfaces. It enables programmatic control of virtual machines through various providers and offers a consistent interface for interacting with the VM's operating system. +### Get started with Computer -## Installation - -```bash -npm install @trycua/computer -# or -pnpm add @trycua/computer -``` - -## Usage +
+ +
```typescript -import { Computer } from '@trycua/computer'; +import { Computer, OSType } from '@trycua/computer'; // Create a new computer instance const computer = new Computer({ osType: OSType.LINUX, - name: 's-linux-vm_id' + name: 's-linux-vm_id', apiKey: 'your-api-key' }); @@ -30,60 +37,47 @@ const computer = new Computer({ await computer.run(); // Get the computer interface for interaction -const interface = computer.interface; +const computerInterface = computer.interface; // Take a screenshot -const screenshot = await interface.getScreenshot(); +const screenshot = await computerInterface.getScreenshot(); +// In a Node.js environment, you might save it like this: +// import * as fs from 'fs'; +// fs.writeFileSync('screenshot.png', Buffer.from(screenshot)); // Click at coordinates -await interface.click(500, 300); +await computerInterface.click(500, 300); // Type text -await interface.typeText('Hello, world!'); +await computerInterface.typeText('Hello, world!'); // Stop the computer await computer.stop(); ``` -## Architecture +## Install -The library is organized into the following structure: - -### Core Components - -- **Computer Factory**: A factory object that creates appropriate computer instances -- **BaseComputer**: Abstract base class with shared functionality for all computer types -- **Types**: Type definitions for configuration options and shared interfaces - -### Provider Implementations - -- **Computer**: Implementation for cloud-based VMs - -## Development - -- Install dependencies: +To install the Computer-Use Interface (CUI): ```bash -pnpm install +npm install @trycua/computer +# or +pnpm add @trycua/computer ``` -- Run the unit tests: +The `@trycua/computer` package provides the TypeScript library for interacting with computer interfaces. -```bash -pnpm test -``` +## Run -- Build the library: +Refer to this example for a step-by-step guide on how to use the Computer-Use Interface (CUI): -```bash -pnpm build -``` +- [Computer-Use Interface (CUI)](https://github.com/trycua/cua/tree/main/examples/computer-example-ts) -- Type checking: +## Docs -```bash -pnpm typecheck -``` +- [Computers](https://trycua.com/docs/computer-sdk/computers) +- [Commands](https://trycua.com/docs/computer-sdk/commands) +- [Computer UI](https://trycua.com/docs/computer-sdk/computer-ui) ## License From 1ff757c23bcb9d4d62066cf464badf057dabe89e Mon Sep 17 00:00:00 2001 From: James Murdza Date: Thu, 28 Aug 2025 08:22:06 -0400 Subject: [PATCH 080/103] Move text from API Reference to Computer Playbook section --- docs/content/docs/computer-sdk/commands.mdx | 35 +++ .../docs/computer-sdk/sandboxed-python.mdx | 26 +++ .../content/docs/libraries/computer/index.mdx | 200 +----------------- 3 files changed, 68 insertions(+), 193 deletions(-) diff --git a/docs/content/docs/computer-sdk/commands.mdx b/docs/content/docs/computer-sdk/commands.mdx index 30657471..602de164 100644 --- a/docs/content/docs/computer-sdk/commands.mdx +++ b/docs/content/docs/computer-sdk/commands.mdx @@ -243,3 +243,38 @@ Access system accessibility information: ``` + +## Delay Configuration + +Control timing between actions: + + + + ```python + # Set default delay between all actions (in seconds) + computer.interface.delay = 0.5 # 500ms delay between actions + + # Or specify delay for individual actions + await computer.interface.left_click(x, y, delay=1.0) # 1 second delay after click + await computer.interface.type_text("Hello", delay=0.2) # 200ms delay after typing + await computer.interface.press_key("enter", delay=0.5) # 500ms delay after key press + ``` + + + + +## Python Virtual Environment Operations + +Manage Python environments: + + + + ```python + # Virtual environment management + await computer.venv_install("demo_venv", ["requests", "macos-pyxa"]) # Install packages in a virtual environment + await computer.venv_cmd("demo_venv", "python -c 'import requests; print(requests.get(`https://httpbin.org/ip`).json())'') # Run a shell command in a virtual environment + await computer.venv_exec("demo_venv", python_function_or_code, *args, **kwargs) # Run a Python function in a virtual environment and return the result / raise an exception + ``` + + + \ No newline at end of file diff --git a/docs/content/docs/computer-sdk/sandboxed-python.mdx b/docs/content/docs/computer-sdk/sandboxed-python.mdx index 1e7f6b78..5f1687bf 100644 --- a/docs/content/docs/computer-sdk/sandboxed-python.mdx +++ b/docs/content/docs/computer-sdk/sandboxed-python.mdx @@ -44,6 +44,32 @@ You can also install packages in the virtual environment using the `venv_install await my_computer.venv_install("myenv", ["requests"]) ``` +## Example: Interacting with macOS Applications + +You can use sandboxed functions to interact with macOS applications on a local Cua Computer (requires `os_type="darwin"`). This is particularly useful for automation tasks that involve GUI applications. + +```python +# Example: Use sandboxed functions to execute code in a Cua Container +from computer.helpers import sandboxed + +await computer.venv_install("demo_venv", ["macos-pyxa"]) # Install packages in a virtual environment + +@sandboxed("demo_venv") +def greet_and_print(name): + """Get the HTML of the current Safari tab""" + import PyXA + safari = PyXA.Application("Safari") + html = safari.current_document.source() + print(f"Hello from inside the container, {name}!") + return {"greeted": name, "safari_html": html} + +# When a @sandboxed function is called, it will execute in the container +result = await greet_and_print("Cua") +# Result: {"greeted": "Cua", "safari_html": "..."} +# stdout and stderr are also captured and printed / raised +print("Result from sandboxed function:", result) +``` + ## Error Handling If the remote execution fails, the decorator will retry up to `max_retries` times. If all attempts fail, the last exception is raised locally. diff --git a/docs/content/docs/libraries/computer/index.mdx b/docs/content/docs/libraries/computer/index.mdx index 4ac698d6..6638f878 100644 --- a/docs/content/docs/libraries/computer/index.mdx +++ b/docs/content/docs/libraries/computer/index.mdx @@ -8,202 +8,16 @@ github: - https://github.com/trycua/cua/tree/main/libs/typescript/computer --- -The Computer library provides a Computer class that can be used to control and automate a container running the Computer Server. +The Computer library provides a Computer class for controlling and automating containers running the Computer Server. -## Reference +## Connecting to Computers -### Basic Usage +See the [Cua Computers](../computer-sdk/computers) documentation for how to connect to different computer types (cloud, local, or host desktop). -Connect to a cua cloud container: +## Computer Commands - - - ```python - from computer import Computer +See the [Commands](../computer-sdk/commands) documentation for all supported commands and interface methods (Shell, Mouse, Keyboard, File System, etc.). - computer = Computer( - os_type="linux", - provider_type="cloud", - name="your-container-name", - api_key="your-api-key" - ) +## Sandboxed Python Functions - computer = await computer.run() # Connect to a cua cloud container - ``` - - - - ```typescript - import { Computer, OSType } from '@trycua/computer'; - - const computer = new Computer({ - osType: OSType.LINUX, - name: "your-container-name", - apiKey: "your-api-key" - }); - - await computer.run(); // Connect to a cua cloud container - ``` - - - - -Connect to a cua local container: - - - - ```python - from computer import Computer - - computer = Computer( - os_type="macos" - ) - - computer = await computer.run() # Connect to the container - ``` - - - - -### Interface Actions - - - - ```python - # Shell Actions - result = await computer.interface.run_command(cmd) # Run shell command - # result.stdout, result.stderr, result.returncode - - # Mouse Actions - await computer.interface.left_click(x, y) # Left click at coordinates - await computer.interface.right_click(x, y) # Right click at coordinates - await computer.interface.double_click(x, y) # Double click at coordinates - await computer.interface.move_cursor(x, y) # Move cursor to coordinates - await computer.interface.drag_to(x, y, duration) # Drag to coordinates - await computer.interface.get_cursor_position() # Get current cursor position - await computer.interface.mouse_down(x, y, button="left") # Press and hold a mouse button - await computer.interface.mouse_up(x, y, button="left") # Release a mouse button - - # Keyboard Actions - await computer.interface.type_text("Hello") # Type text - await computer.interface.press_key("enter") # Press a single key - await computer.interface.hotkey("command", "c") # Press key combination - await computer.interface.key_down("command") # Press and hold a key - await computer.interface.key_up("command") # Release a key - - # Scrolling Actions - await computer.interface.scroll(x, y) # Scroll the mouse wheel - await computer.interface.scroll_down(clicks) # Scroll down - await computer.interface.scroll_up(clicks) # Scroll up - - # Screen Actions - await computer.interface.screenshot() # Take a screenshot - await computer.interface.get_screen_size() # Get screen dimensions - - # Clipboard Actions - await computer.interface.set_clipboard(text) # Set clipboard content - await computer.interface.copy_to_clipboard() # Get clipboard content - - # File System Operations - await computer.interface.file_exists(path) # Check if file exists - await computer.interface.directory_exists(path) # Check if directory exists - await computer.interface.read_text(path, encoding="utf-8") # Read file content - await computer.interface.write_text(path, content, encoding="utf-8") # Write file content - await computer.interface.read_bytes(path) # Read file content as bytes - await computer.interface.write_bytes(path, content) # Write file content as bytes - await computer.interface.delete_file(path) # Delete file - await computer.interface.create_dir(path) # Create directory - await computer.interface.delete_dir(path) # Delete directory - await computer.interface.list_dir(path) # List directory contents - - # Accessibility - await computer.interface.get_accessibility_tree() # Get accessibility tree - - # Delay Configuration - # Set default delay between all actions (in seconds) - computer.interface.delay = 0.5 # 500ms delay between actions - - # Or specify delay for individual actions - await computer.interface.left_click(x, y, delay=1.0) # 1 second delay after click - await computer.interface.type_text("Hello", delay=0.2) # 200ms delay after typing - await computer.interface.press_key("enter", delay=0.5) # 500ms delay after key press - - # Python Virtual Environment Operations - await computer.venv_install("demo_venv", ["requests", "macos-pyxa"]) # Install packages in a virtual environment - await computer.venv_cmd("demo_venv", "python -c 'import requests; print(requests.get(`https://httpbin.org/ip`).json())'') # Run a shell command in a virtual environment - await computer.venv_exec("demo_venv", python_function_or_code, *args, **kwargs) # Run a Python function in a virtual environment and return the result / raise an exception - - # Example: Use sandboxed functions to execute code in a Cua Container - from computer.helpers import sandboxed - - @sandboxed("demo_venv") - def greet_and_print(name): - """Get the HTML of the current Safari tab""" - import PyXA - safari = PyXA.Application("Safari") - html = safari.current_document.source() - print(f"Hello from inside the container, {name}!") - return {"greeted": name, "safari_html": html} - - # When a @sandboxed function is called, it will execute in the container - result = await greet_and_print("Cua") - # Result: {"greeted": "Cua", "safari_html": "..."} - # stdout and stderr are also captured and printed / raised - print("Result from sandboxed function:", result) - ``` - - - - ```typescript - // Shell Actions - const result = await computer.interface.runCommand(cmd); // Run shell command - // result.stdout, result.stderr, result.returncode - - // Mouse Actions - await computer.interface.leftClick(x, y); // Left click at coordinates - await computer.interface.rightClick(x, y); // Right click at coordinates - await computer.interface.doubleClick(x, y); // Double click at coordinates - await computer.interface.moveCursor(x, y); // Move cursor to coordinates - await computer.interface.dragTo(x, y, duration); // Drag to coordinates - await computer.interface.getCursorPosition(); // Get current cursor position - await computer.interface.mouseDown(x, y, "left"); // Press and hold a mouse button - await computer.interface.mouseUp(x, y, "left"); // Release a mouse button - - // Keyboard Actions - await computer.interface.typeText("Hello"); // Type text - await computer.interface.pressKey("enter"); // Press a single key - await computer.interface.hotkey("command", "c"); // Press key combination - await computer.interface.keyDown("command"); // Press and hold a key - await computer.interface.keyUp("command"); // Release a key - - // Scrolling Actions - await computer.interface.scroll(x, y); // Scroll the mouse wheel - await computer.interface.scrollDown(clicks); // Scroll down - await computer.interface.scrollUp(clicks); // Scroll up - - // Screen Actions - await computer.interface.screenshot(); // Take a screenshot - await computer.interface.getScreenSize(); // Get screen dimensions - - // Clipboard Actions - await computer.interface.setClipboard(text); // Set clipboard content - await computer.interface.copyToClipboard(); // Get clipboard content - - // File System Operations - await computer.interface.fileExists(path); // Check if file exists - await computer.interface.directoryExists(path); // Check if directory exists - await computer.interface.readText(path, "utf-8"); // Read file content - await computer.interface.writeText(path, content, "utf-8"); // Write file content - await computer.interface.readBytes(path); // Read file content as bytes - await computer.interface.writeBytes(path, content); // Write file content as bytes - await computer.interface.deleteFile(path); // Delete file - await computer.interface.createDir(path); // Create directory - await computer.interface.deleteDir(path); // Delete directory - await computer.interface.listDir(path); // List directory contents - - // Accessibility - await computer.interface.getAccessibilityTree(); // Get accessibility tree - ``` - - - +See the [Sandboxed Python](../computer-sdk/sandboxed-python) documentation for running Python functions securely in isolated environments on a remote Cua Computer. \ No newline at end of file From d4ab8d7f82d59e0264ff4370abc12fa56465ed6c Mon Sep 17 00:00:00 2001 From: James Murdza Date: Thu, 28 Aug 2025 08:22:12 -0400 Subject: [PATCH 081/103] Fix comments --- docs/content/docs/computer-sdk/commands.mdx | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/docs/content/docs/computer-sdk/commands.mdx b/docs/content/docs/computer-sdk/commands.mdx index 602de164..d8e80493 100644 --- a/docs/content/docs/computer-sdk/commands.mdx +++ b/docs/content/docs/computer-sdk/commands.mdx @@ -202,17 +202,17 @@ Direct file and directory manipulation: ```typescript - // File existence checks + # File existence checks await computer.interface.fileExists(path); // Check if file exists await computer.interface.directoryExists(path); // Check if directory exists - // File content operations + # File content operations await computer.interface.readText(path, "utf-8"); // Read file content await computer.interface.writeText(path, content, "utf-8"); // Write file content await computer.interface.readBytes(path); // Read file content as bytes await computer.interface.writeBytes(path, content); // Write file content as bytes - // File and directory management + # File and directory management await computer.interface.deleteFile(path); // Delete file await computer.interface.createDir(path); // Create directory await computer.interface.deleteDir(path); // Delete directory From 78a68ae40af52e014fdfd9a06ed10677643121e0 Mon Sep 17 00:00:00 2001 From: James Murdza Date: Thu, 28 Aug 2025 06:57:24 -0400 Subject: [PATCH 082/103] Move configuration section from README to Cua documentation --- .../docs/libraries/som/configuration.mdx | 89 +++++++++++++++++++ libs/python/som/README.md | 88 +----------------- 2 files changed, 91 insertions(+), 86 deletions(-) create mode 100644 docs/content/docs/libraries/som/configuration.mdx diff --git a/docs/content/docs/libraries/som/configuration.mdx b/docs/content/docs/libraries/som/configuration.mdx new file mode 100644 index 00000000..ec57d8ed --- /dev/null +++ b/docs/content/docs/libraries/som/configuration.mdx @@ -0,0 +1,89 @@ +--- +title: Configuration +--- + +### Detection Parameters + +#### Box Threshold (0.3) +Controls the confidence threshold for accepting detections: +``` +High Threshold (0.3): Low Threshold (0.01): ++----------------+ +----------------+ +| | | +--------+ | +| Confident | | |Unsure?| | +| Detection | | +--------+ | +| (✓ Accept) | | (? Reject) | +| | | | ++----------------+ +----------------+ +conf = 0.85 conf = 0.02 +``` +- Higher values (0.3) yield more precise but fewer detections +- Lower values (0.01) catch more potential icons but increase false positives +- Default is 0.3 for optimal precision/recall balance + +#### IOU Threshold (0.1) +Controls how overlapping detections are merged: +``` +IOU = Intersection Area / Union Area + +Low Overlap (Keep Both): High Overlap (Merge): ++----------+ +----------+ +| Box1 | | Box1 | +| | vs. |+-----+ | ++----------+ ||Box2 | | + +----------+ |+-----+ | + | Box2 | +----------+ + | | + +----------+ +IOU ≈ 0.05 (Keep Both) IOU ≈ 0.7 (Merge) +``` +- Lower values (0.1) more aggressively remove overlapping boxes +- Higher values (0.5) allow more overlapping detections +- Default is 0.1 to handle densely packed UI elements + +### OCR Configuration + +- **Engine**: EasyOCR + - Primary choice for all platforms + - Fast initialization and processing + - Built-in English language support + - GPU acceleration when available + +- **Settings**: + - Timeout: 5 seconds + - Confidence threshold: 0.5 + - Paragraph mode: Disabled + - Language: English only + +## Performance + +### Hardware Acceleration + +#### MPS (Metal Performance Shaders) +- Multi-scale detection (640px, 1280px, 1920px) +- Test-time augmentation enabled +- Half-precision (FP16) +- Average detection time: ~0.4s +- Best for production use when available + +#### CPU +- Single-scale detection (1280px) +- Full-precision (FP32) +- Average detection time: ~1.3s +- Reliable fallback option + +### Example Output Structure + +``` +examples/output/ +├── {timestamp}_no_ocr/ +│ ├── annotated_images/ +│ │ └── screenshot_analyzed.png +│ ├── screen_details.txt +│ └── summary.json +└── {timestamp}_ocr/ + ├── annotated_images/ + │ └── screenshot_analyzed.png + ├── screen_details.txt + └── summary.json +``` \ No newline at end of file diff --git a/libs/python/som/README.md b/libs/python/som/README.md index 863c8856..02802bfc 100644 --- a/libs/python/som/README.md +++ b/libs/python/som/README.md @@ -75,93 +75,9 @@ for elem in result.elements: print(f"Text: '{elem.content}', confidence={elem.confidence:.3f}") ``` -## Configuration +## Docs -### Detection Parameters - -#### Box Threshold (0.3) -Controls the confidence threshold for accepting detections: -``` -High Threshold (0.3): Low Threshold (0.01): -+----------------+ +----------------+ -| | | +--------+ | -| Confident | | |Unsure?| | -| Detection | | +--------+ | -| (✓ Accept) | | (? Reject) | -| | | | -+----------------+ +----------------+ -conf = 0.85 conf = 0.02 -``` -- Higher values (0.3) yield more precise but fewer detections -- Lower values (0.01) catch more potential icons but increase false positives -- Default is 0.3 for optimal precision/recall balance - -#### IOU Threshold (0.1) -Controls how overlapping detections are merged: -``` -IOU = Intersection Area / Union Area - -Low Overlap (Keep Both): High Overlap (Merge): -+----------+ +----------+ -| Box1 | | Box1 | -| | vs. |+-----+ | -+----------+ ||Box2 | | - +----------+ |+-----+ | - | Box2 | +----------+ - | | - +----------+ -IOU ≈ 0.05 (Keep Both) IOU ≈ 0.7 (Merge) -``` -- Lower values (0.1) more aggressively remove overlapping boxes -- Higher values (0.5) allow more overlapping detections -- Default is 0.1 to handle densely packed UI elements - -### OCR Configuration - -- **Engine**: EasyOCR - - Primary choice for all platforms - - Fast initialization and processing - - Built-in English language support - - GPU acceleration when available - -- **Settings**: - - Timeout: 5 seconds - - Confidence threshold: 0.5 - - Paragraph mode: Disabled - - Language: English only - -## Performance - -### Hardware Acceleration - -#### MPS (Metal Performance Shaders) -- Multi-scale detection (640px, 1280px, 1920px) -- Test-time augmentation enabled -- Half-precision (FP16) -- Average detection time: ~0.4s -- Best for production use when available - -#### CPU -- Single-scale detection (1280px) -- Full-precision (FP32) -- Average detection time: ~1.3s -- Reliable fallback option - -### Example Output Structure - -``` -examples/output/ -├── {timestamp}_no_ocr/ -│ ├── annotated_images/ -│ │ └── screenshot_analyzed.png -│ ├── screen_details.txt -│ └── summary.json -└── {timestamp}_ocr/ - ├── annotated_images/ - │ └── screenshot_analyzed.png - ├── screen_details.txt - └── summary.json -``` +- [Configuration](http://localhost:8090/docs/libraries/som/configuration) ## Development From 92737e44ad6c34b723a776d7d9b99dd92c5542f3 Mon Sep 17 00:00:00 2001 From: James Murdza Date: Thu, 28 Aug 2025 07:05:22 -0400 Subject: [PATCH 083/103] Rewrite TypeScript README in the format of the Python README --- libs/typescript/core/README.md | 35 +++++++++++++++++++++++++++++----- 1 file changed, 30 insertions(+), 5 deletions(-) diff --git a/libs/typescript/core/README.md b/libs/typescript/core/README.md index bc585ce8..aecde720 100644 --- a/libs/typescript/core/README.md +++ b/libs/typescript/core/README.md @@ -1,22 +1,47 @@ -# Cua Core TypeScript Library +
+

+
+ + + + Shows my svg + +
-The core cua library with support for telemetry and other utilities. + [![TypeScript](https://img.shields.io/badge/TypeScript-333333?logo=typescript&logoColor=white&labelColor=333333)](#) + [![macOS](https://img.shields.io/badge/macOS-000000?logo=apple&logoColor=F0F0F0)](#) + [![Discord](https://img.shields.io/badge/Discord-%235865F2.svg?&logo=discord&logoColor=white)](https://discord.com/invite/mVnXXpdE85) + [![NPM](https://img.shields.io/npm/v/@trycua/core?color=333333)](https://www.npmjs.com/package/@trycua/core) +

+
+ +**Cua Core** provides essential shared functionality and utilities used across the Cua ecosystem: + +- Privacy-focused telemetry system for transparent usage analytics +- Common helper functions and utilities used by other Cua packages +- Core infrastructure components shared between modules + +## Installation + +```bash +pnpm install @trycua/core +``` ## Development -- Install dependencies: +Install dependencies: ```bash pnpm install ``` -- Run the unit tests: +Run the unit tests: ```bash pnpm test ``` -- Build the library: +Build the library: ```bash pnpm build From 29d52c04b6f1ee5caa4601fd80921c95b0e02b34 Mon Sep 17 00:00:00 2001 From: James Murdza Date: Thu, 28 Aug 2025 07:11:42 -0400 Subject: [PATCH 084/103] Add links to Cua documentation --- libs/python/computer-server/README.md | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/libs/python/computer-server/README.md b/libs/python/computer-server/README.md index ed5d0932..0e914298 100644 --- a/libs/python/computer-server/README.md +++ b/libs/python/computer-server/README.md @@ -35,4 +35,11 @@ pip install cua-computer-server Refer to this notebook for a step-by-step guide on how to use the Computer-Use Server on the host system or VM: -- [Computer-Use Server](../../notebooks/computer_server_nb.ipynb) \ No newline at end of file +- [Computer-Use Server](../../notebooks/computer_server_nb.ipynb) + +## Docs + +- [Commands](https://trycua.com/docs/libraries/computer-server/Commands) +- [REST-API](https://trycua.com/docs/libraries/computer-server/REST-API) +- [WebSocket-API](https://trycua.com/docs/libraries/computer-server/WebSocket-API) +- [Index](https://trycua.com/docs/libraries/computer-server/index) \ No newline at end of file From 2f6c52001c39fd6c3c07ae3d141f59602b43dccc Mon Sep 17 00:00:00 2001 From: James Murdza Date: Thu, 28 Aug 2025 15:34:32 -0400 Subject: [PATCH 085/103] Replace ASCII diagrams with images --- .../docs/libraries/som/configuration.mdx | 27 ++---------------- docs/public/img/som_box_threshold.png | Bin 0 -> 996852 bytes docs/public/img/som_iou_threshold.png | Bin 0 -> 2259213 bytes 3 files changed, 2 insertions(+), 25 deletions(-) create mode 100644 docs/public/img/som_box_threshold.png create mode 100644 docs/public/img/som_iou_threshold.png diff --git a/docs/content/docs/libraries/som/configuration.mdx b/docs/content/docs/libraries/som/configuration.mdx index ec57d8ed..e57cdf1c 100644 --- a/docs/content/docs/libraries/som/configuration.mdx +++ b/docs/content/docs/libraries/som/configuration.mdx @@ -6,37 +6,14 @@ title: Configuration #### Box Threshold (0.3) Controls the confidence threshold for accepting detections: -``` -High Threshold (0.3): Low Threshold (0.01): -+----------------+ +----------------+ -| | | +--------+ | -| Confident | | |Unsure?| | -| Detection | | +--------+ | -| (✓ Accept) | | (? Reject) | -| | | | -+----------------+ +----------------+ -conf = 0.85 conf = 0.02 -``` +Illustration of confidence thresholds in object detection, with a high-confidence detection accepted and a low-confidence detection rejected. - Higher values (0.3) yield more precise but fewer detections - Lower values (0.01) catch more potential icons but increase false positives - Default is 0.3 for optimal precision/recall balance #### IOU Threshold (0.1) Controls how overlapping detections are merged: -``` -IOU = Intersection Area / Union Area - -Low Overlap (Keep Both): High Overlap (Merge): -+----------+ +----------+ -| Box1 | | Box1 | -| | vs. |+-----+ | -+----------+ ||Box2 | | - +----------+ |+-----+ | - | Box2 | +----------+ - | | - +----------+ -IOU ≈ 0.05 (Keep Both) IOU ≈ 0.7 (Merge) -``` +Diagram showing Intersection over Union (IOU) with low overlap between two boxes kept separate and high overlap leading to merging. - Lower values (0.1) more aggressively remove overlapping boxes - 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ce14edf2f9f46c6850dfb1669515a52603638c20 Mon Sep 17 00:00:00 2001 From: James Murdza Date: Wed, 27 Aug 2025 20:09:36 -0400 Subject: [PATCH 086/103] Fix mistakes and add missing HTTP endpoints (with Claude) --- docs/content/docs/libraries/lume/http-api.mdx | 540 +++++++++++++++++- 1 file changed, 529 insertions(+), 11 deletions(-) diff --git a/docs/content/docs/libraries/lume/http-api.mdx b/docs/content/docs/libraries/lume/http-api.mdx index 5191119c..dcef8428 100644 --- a/docs/content/docs/libraries/lume/http-api.mdx +++ b/docs/content/docs/libraries/lume/http-api.mdx @@ -97,7 +97,7 @@ const payload = { } const res = await fetch('http://localhost:7777/lume/vms', { - methdo: 'POST' + method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify(payload), }); @@ -348,7 +348,7 @@ console.log(await res2.json()); Update the configuration of a virtual machine. -`PUT: /vms/:name` +`PATCH: /vms/:name` #### Parameters @@ -368,7 +368,7 @@ Update the configuration of a virtual machine. ```bash curl --connect-timeout 6000 \ --max-time 5000 \ - -X PUT \ + -X PATCH \ -H "Content-Type: application/json" \ -d '{ "cpu": 4, @@ -393,7 +393,7 @@ payload = { "display": "1920x1080", "storage": "ssd" } -r = requests.put("http://localhost:7777/lume/vms/lume_vm", json=payload, timeout=50) +r = requests.patch("http://localhost:7777/lume/vms/lume_vm", json=payload, timeout=50) print(r.json()) ``` @@ -409,7 +409,7 @@ const payload = { storage: 'ssd', }; const res = await fetch('http://localhost:7777/lume/vms/lume_vm', { - method: 'PUT', + method: 'PATCH', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify(payload), }); @@ -425,16 +425,29 @@ Stop a running virtual machine. `POST: /vms/:name/stop` +#### Parameters + +| Name | Type | Required | Description | +| ------- | ------ | -------- | -------------------------- | +| storage | string | No | Storage type (`ssd`, etc.) | + #### Example Request ```bash +# Basic stop curl --connect-timeout 6000 \ --max-time 5000 \ -X POST \ http://localhost:7777/lume/vms/lume_vm/stop + +# Stop with storage location specified +curl --connect-timeout 6000 \ + --max-time 5000 \ + -X POST \ + http://localhost:7777/lume/vms/lume_vm/stop?storage=ssd ``` @@ -443,18 +456,30 @@ curl --connect-timeout 6000 \ ```python import requests +# Basic stop r = requests.post("http://localhost:7777/lume/vms/lume_vm/stop", timeout=50) print(r.json()) + +# Stop with storage location specified +r = requests.post("http://localhost:7777/lume/vms/lume_vm/stop", params={"storage": "ssd"}, timeout=50) +print(r.json()) ``` ```typescript +// Basic stop const res = await fetch('http://localhost:7777/lume/vms/lume_vm/stop', { method: 'POST', }); console.log(await res.json()); + +// Stop with storage location specified +const res2 = await fetch('http://localhost:7777/lume/vms/lume_vm/stop?storage=ssd', { + method: 'POST', +}); +console.log(await res2.json()); ``` @@ -526,19 +551,91 @@ console.log(res2.status); +### Clone VM + +Clone an existing virtual machine. + +`POST: /vms/:name/clone` + +#### Parameters + +| Name | Type | Required | Description | +| -------------- | ------ | -------- | ----------------------------------- | +| name | string | Yes | Source VM name | +| newName | string | Yes | New VM name | +| sourceLocation | string | No | Source storage location (`default`) | +| destLocation | string | No | Destination storage location | + +#### Example Request + + + + +```bash +curl --connect-timeout 6000 \ + --max-time 5000 \ + -X POST \ + -H "Content-Type: application/json" \ + -d '{ + "name": "source-vm", + "newName": "cloned-vm", + "sourceLocation": "default", + "destLocation": "ssd" + }' \ + http://localhost:7777/lume/vms/clone +``` + + + + +```python +import requests + +payload = { + "name": "source-vm", + "newName": "cloned-vm", + "sourceLocation": "default", + "destLocation": "ssd" +} +r = requests.post("http://localhost:7777/lume/vms/clone", json=payload, timeout=50) +print(r.json()) +``` + + + + +```typescript +const payload = { + name: 'source-vm', + newName: 'cloned-vm', + sourceLocation: 'default', + destLocation: 'ssd', +}; +const res = await fetch('http://localhost:7777/lume/vms/clone', { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify(payload), +}); +console.log(await res.json()); +``` + + + + ### Pull VM Image Pull a VM image from a registry. -`POST: /images/pull` +`POST: /pull` #### Parameters | Name | Type | Required | Description | | ------------ | ------ | -------- | ------------------------------------- | | image | string | Yes | Image name (e.g. `macos-sequoia-...`) | -| registry | string | Yes | Registry host (e.g. `ghcr.io`) | -| organization | string | Yes | Organization name | +| name | string | No | VM name for the pulled image | +| registry | string | No | Registry host (e.g. `ghcr.io`) | +| organization | string | No | Organization name | | storage | string | No | Storage type (`ssd`, etc.) | #### Example Request @@ -553,11 +650,12 @@ curl --connect-timeout 6000 \ -H "Content-Type: application/json" \ -d '{ "image": "macos-sequoia-vanilla:latest", + "name": "my-vm-name", "registry": "ghcr.io", "organization": "trycua", "storage": "ssd" }' \ - http://localhost:7777/lume/images/pull + http://localhost:7777/lume/pull ``` @@ -568,11 +666,12 @@ import requests payload = { "image": "macos-sequoia-vanilla:latest", + "name": "my-vm-name", "registry": "ghcr.io", "organization": "trycua", "storage": "ssd" } -r = requests.post("http://localhost:7777/lume/images/pull", json=payload, timeout=50) +r = requests.post("http://localhost:7777/lume/pull", json=payload, timeout=50) print(r.json()) ``` @@ -582,11 +681,12 @@ print(r.json()) ```typescript const payload = { image: 'macos-sequoia-vanilla:latest', + name: 'my-vm-name', registry: 'ghcr.io', organization: 'trycua', storage: 'ssd', }; -const res = await fetch('http://localhost:7777/lume/images/pull', { +const res = await fetch('http://localhost:7777/lume/pull', { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify(payload), @@ -596,3 +696,421 @@ console.log(await res.json()); + +### Push VM Image + +Push a VM to a registry as an image (asynchronous operation). + +`POST: /vms/push` + +#### Parameters + +| Name | Type | Required | Description | +| ------------ | ------------ | -------- | ----------------------------------------------- | +| name | string | Yes | Local VM name to push | +| imageName | string | Yes | Image name in registry | +| tags | array | Yes | Image tags (e.g. `["latest", "v1"]`) | +| organization | string | Yes | Organization name | +| registry | string | No | Registry host (e.g. `ghcr.io`) | +| chunkSizeMb | integer | No | Chunk size in MB for upload | +| storage | string/null | No | Storage type (`ssd`, etc.) | + +#### Example Request + + + + +```bash +curl --connect-timeout 6000 \ + --max-time 5000 \ + -X POST \ + -H "Content-Type: application/json" \ + -d '{ + "name": "my-local-vm", + "imageName": "my-image", + "tags": ["latest", "v1"], + "organization": "my-org", + "registry": "ghcr.io", + "chunkSizeMb": 512, + "storage": null + }' \ + http://localhost:7777/lume/vms/push +``` + + + + +```python +import requests + +payload = { + "name": "my-local-vm", + "imageName": "my-image", + "tags": ["latest", "v1"], + "organization": "my-org", + "registry": "ghcr.io", + "chunkSizeMb": 512, + "storage": None +} +r = requests.post("http://localhost:7777/lume/vms/push", json=payload, timeout=50) +print(r.json()) +``` + + + + +```typescript +const payload = { + name: 'my-local-vm', + imageName: 'my-image', + tags: ['latest', 'v1'], + organization: 'my-org', + registry: 'ghcr.io', + chunkSizeMb: 512, + storage: null, +}; +const res = await fetch('http://localhost:7777/lume/vms/push', { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify(payload), +}); +console.log(await res.json()); +``` + + + + +**Response (202 Accepted):** + +```json +{ + "message": "Push initiated in background", + "name": "my-local-vm", + "imageName": "my-image", + "tags": [ + "latest", + "v1" + ] +} +``` + +### List Images + +List available VM images. + +`GET: /images` + +#### Example Request + + + + +```bash +curl --connect-timeout 6000 \ + --max-time 5000 \ + http://localhost:7777/lume/images +``` + + + + +```python +import requests + +r = requests.get("http://localhost:7777/lume/images", timeout=50) +print(r.json()) +``` + + + + +```typescript +const res = await fetch('http://localhost:7777/lume/images'); +console.log(await res.json()); +``` + + + + +```json +{ + "local": [ + "macos-sequoia-xcode:latest", + "macos-sequoia-vanilla:latest" + ] +} +``` + +### Prune Images + +Remove unused VM images to free up disk space. + +`POST: /lume/prune` + +#### Example Request + + + + +```bash +curl --connect-timeout 6000 \ + --max-time 5000 \ + -X POST \ + http://localhost:7777/lume/prune +``` + + + + +```python +import requests + +r = requests.post("http://localhost:7777/lume/prune", timeout=50) +print(r.json()) +``` + + + + +```typescript +const res = await fetch('http://localhost:7777/lume/prune', { + method: 'POST', +}); +console.log(await res.json()); +``` + + + + +### Get Latest IPSW URL + +Get the URL for the latest macOS IPSW file. + +`GET: /ipsw` + +#### Example Request + + + + +```bash +curl --connect-timeout 6000 \ + --max-time 5000 \ + http://localhost:7777/lume/ipsw +``` + + + + +```python +import requests + +r = requests.get("http://localhost:7777/lume/ipsw", timeout=50) +print(r.json()) +``` + + + + +```typescript +const res = await fetch('http://localhost:7777/lume/ipsw'); +console.log(await res.json()); +``` + + + + +## Configuration Management + +### Get Configuration + +Get current Lume configuration settings. + +`GET: /lume/config` + +#### Example Request + + + + +```bash +curl --connect-timeout 6000 \ + --max-time 5000 \ + http://localhost:7777/lume/config +``` + + + + +```python +import requests + +r = requests.get("http://localhost:7777/lume/config", timeout=50) +print(r.json()) +``` + + + + +```typescript +const res = await fetch('http://localhost:7777/lume/config'); +console.log(await res.json()); +``` + + + + +```json +{ + "homeDirectory": "~/.lume", + "cacheDirectory": "~/.lume/cache", + "cachingEnabled": true +} +``` + +### Update Configuration + +Update Lume configuration settings. + +`POST: /lume/config` + +#### Parameters + +| Name | Type | Required | Description | +| --------------- | ------- | -------- | -------------------------------- | +| homeDirectory | string | No | Lume home directory path | +| cacheDirectory | string | No | Cache directory path | +| cachingEnabled | boolean | No | Enable or disable caching | + +#### Example Request + + + + +```bash +curl --connect-timeout 6000 \ + --max-time 5000 \ + -X POST \ + -H "Content-Type: application/json" \ + -d '{ + "homeDirectory": "~/custom/lume", + "cacheDirectory": "~/custom/lume/cache", + "cachingEnabled": true + }' \ + http://localhost:7777/lume/config +``` + + + + +```python +import requests + +payload = { + "homeDirectory": "~/custom/lume", + "cacheDirectory": "~/custom/lume/cache", + "cachingEnabled": True +} +r = requests.post("http://localhost:7777/lume/config", json=payload, timeout=50) +print(r.json()) +``` + + + + +```typescript +const payload = { + homeDirectory: '~/custom/lume', + cacheDirectory: '~/custom/lume/cache', + cachingEnabled: true, +}; +const res = await fetch('http://localhost:7777/lume/config', { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify(payload), +}); +console.log(await res.json()); +``` + + + + +## Storage Location Management + +### Get VM Storage Locations + +List all configured VM storage locations. + +`GET: /lume/config/locations` + +#### Example Request + + + + +```bash +curl --connect-timeout 6000 \ + --max-time 5000 \ + http://localhost:7777/lume/config/locations +``` + + + + +```python +import requests + +r = requests.get("http://localhost:7777/lume/config/locations", timeout=50) +print(r.json()) +``` + + + + +```typescript +const res = await fetch('http://localhost:7777/lume/config/locations'); +console.log(await res.json()); +``` + + + + +```json +[ + { + "name": "default", + "path": "~/.lume/vms", + "isDefault": true + }, + { + "name": "ssd", + "path": "/Volumes/SSD/lume/vms", + "isDefault": false + } +] +``` + +### Add VM Storage Location + +Add a new VM storage location. + +`POST: /lume/config/locations` + +#### Parameters + +| Name | Type | Required | Description | +| ---- | ------ | -------- | ------------------------------ | +| name | string | Yes | Storage location name | +| path | string | Yes | File system path for storage | + +#### Example Request + + + + +```bash +curl --connect-timeout 6000 \ + --max-time 5000 \ + -X POST \ + -H "Content-Type: application/json" \ + -d '{ From abab65a10f703bbccdfe93fbf56f643fe71eb983 Mon Sep 17 00:00:00 2001 From: James Murdza Date: Wed, 27 Aug 2025 20:10:27 -0400 Subject: [PATCH 087/103] Add missing HTTP endpoints (with Claude) --- docs/content/docs/libraries/lume/http-api.mdx | 122 +++++++++++++++++- 1 file changed, 121 insertions(+), 1 deletion(-) diff --git a/docs/content/docs/libraries/lume/http-api.mdx b/docs/content/docs/libraries/lume/http-api.mdx index dcef8428..079a134a 100644 --- a/docs/content/docs/libraries/lume/http-api.mdx +++ b/docs/content/docs/libraries/lume/http-api.mdx @@ -49,6 +49,126 @@ curl --connect-timeout 6000 \ -X POST \ -H "Content-Type: application/json" \ -d '{ + "name": "ssd", + "path": "/Volumes/SSD/lume/vms" + }' \ + http://localhost:7777/lume/config/locations +``` + + + + +```python +import requests + +payload = { + "name": "ssd", + "path": "/Volumes/SSD/lume/vms" +} +r = requests.post("http://localhost:7777/lume/config/locations", json=payload, timeout=50) +print(r.json()) +``` + + + + +```typescript +const payload = { + name: 'ssd', + path: '/Volumes/SSD/lume/vms', +}; +const res = await fetch('http://localhost:7777/lume/config/locations', { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify(payload), +}); +console.log(await res.json()); +``` + + + + +### Remove VM Storage Location + +Remove a VM storage location. + +`DELETE: /lume/config/locations/:name` + +#### Example Request + + + + +```bash +curl --connect-timeout 6000 \ + --max-time 5000 \ + -X DELETE \ + http://localhost:7777/lume/config/locations/ssd +``` + + + + +```python +import requests + +r = requests.delete("http://localhost:7777/lume/config/locations/ssd", timeout=50) +print(r.status_code) +``` + + + + +```typescript +const res = await fetch('http://localhost:7777/lume/config/locations/ssd', { + method: 'DELETE', +}); +console.log(res.status); +``` + + + + +### Set Default VM Storage Location + +Set a storage location as the default. + +`POST: /lume/config/locations/default/:name` + +#### Example Request + + + + +```bash +curl --connect-timeout 6000 \ + --max-time 5000 \ + -X POST \ + http://localhost:7777/lume/config/locations/default/ssd +``` + + + + +```python +import requests + +r = requests.post("http://localhost:7777/lume/config/locations/default/ssd", timeout=50) +print(r.json()) +``` + + + + +```typescript +const res = await fetch('http://localhost:7777/lume/config/locations/default/ssd', { + method: 'POST', +}); +console.log(await res.json()); +``` + + + "name": "lume_vm", "os": "macOS", "cpu": 2, @@ -1113,4 +1233,4 @@ curl --connect-timeout 6000 \ --max-time 5000 \ -X POST \ -H "Content-Type: application/json" \ - -d '{ + -d '{ \ No newline at end of file From 4eac69285dd3445e4b266affb32e22d00627dd8c Mon Sep 17 00:00:00 2001 From: James Murdza Date: Wed, 27 Aug 2025 20:40:43 -0400 Subject: [PATCH 088/103] Restructure API reference for clarity --- docs/content/docs/libraries/lume/http-api.mdx | 2165 +++++++++-------- 1 file changed, 1098 insertions(+), 1067 deletions(-) diff --git a/docs/content/docs/libraries/lume/http-api.mdx b/docs/content/docs/libraries/lume/http-api.mdx index 079a134a..04792f26 100644 --- a/docs/content/docs/libraries/lume/http-api.mdx +++ b/docs/content/docs/libraries/lume/http-api.mdx @@ -1,9 +1,10 @@ --- title: HTTP Server API -description: Lume exposes a local HTTP API server that listens at localhost for programatic management of VMs. +description: Lume exposes a local HTTP API server that listens at localhost for programmatic management of VMs. --- import { Tabs, Tab } from 'fumadocs-ui/components/tabs'; +import { Callout } from 'fumadocs-ui/components/callout'; ## Default URL @@ -19,11 +20,13 @@ http://localhost:7777 ## Endpoints +--- + ### Create VM Create a new virtual machine. -`POST: /vms` +`POST: /lume/vms` #### Parameters @@ -40,6 +43,1099 @@ Create a new virtual machine. #### Example Request + + + +```bash +curl --connect-timeout 6000 \ + --max-time 5000 \ + -X POST \ + -H "Content-Type: application/json" \ + -d '{ + "name": "lume_vm", + "os": "macOS", + "cpu": 2, + "memory": "4GB", + "diskSize": "64GB", + "display": "1024x768", + "ipsw": "latest", + "storage": "ssd" + }' \ + http://localhost:7777/lume/vms +``` + + + + +```python +import requests + +payload = { + "name": "lume_vm", + "os": "macOS", + "cpu": 2, + "memory": "4GB", + "diskSize": "64GB", + "display": "1024x768", + "ipsw": "latest", + "storage": "ssd" +} +r = requests.post("http://localhost:7777/lume/vms", json=payload, timeout=50) +print(r.json()) +``` + + + + +```typescript +const payload = { + name: 'lume_vm', + os: 'macOS', + cpu: 2, + memory: '4GB', + diskSize: '64GB', + display: '1024x768', + ipsw: 'latest', + storage: 'ssd', +}; + +const res = await fetch('http://localhost:7777/lume/vms', { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify(payload), +}); +console.log(await res.json()); +``` + + + + +--- + +### Run VM + +Run a virtual machine instance. + +`POST: /lume/vms/:name/run` + +#### Parameters + +| Name | Type | Required | Description | +| ----------------- | --------------- | -------- | --------------------------------------------------- | +| noDisplay | boolean | No | If true, do not start VNC client | +| sharedDirectories | array of object | No | List of shared directories (`hostPath`, `readOnly`) | +| recoveryMode | boolean | No | Start in recovery mode | +| storage | string | No | Storage type (`ssd`, etc.) | + +#### Example Request + + + + +```bash +# Basic run +curl --connect-timeout 6000 \ + --max-time 5000 \ + -X POST \ + http://localhost:7777/lume/vms/my-vm-name/run + +# Run with VNC client started and shared directory +curl --connect-timeout 6000 \ + --max-time 5000 \ + -X POST \ + -H "Content-Type: application/json" \ + -d '{ + "noDisplay": false, + "sharedDirectories": [ + { + "hostPath": "~/Projects", + "readOnly": false + } + ], + "recoveryMode": false, + "storage": "ssd" + }' \ + http://localhost:7777/lume/vms/lume_vm/run +``` + + + + +```python +import requests + +# Basic run +r = requests.post("http://localhost:7777/lume/vms/my-vm-name/run", timeout=50) +print(r.json()) + +# With VNC and shared directory +payload = { + "noDisplay": False, + "sharedDirectories": [ + {"hostPath": "~/Projects", "readOnly": False} + ], + "recoveryMode": False, + "storage": "ssd" +} +r = requests.post("http://localhost:7777/lume/vms/lume_vm/run", json=payload, timeout=50) +print(r.json()) +``` + + + + +```typescript +// Basic run +let res = await fetch('http://localhost:7777/lume/vms/my-vm-name/run', { + method: 'POST', +}); +console.log(await res.json()); + +// With VNC and shared directory +const payload = { + noDisplay: false, + sharedDirectories: [{ hostPath: '~/Projects', readOnly: false }], + recoveryMode: false, + storage: 'ssd', +}; +res = await fetch('http://localhost:7777/lume/vms/lume_vm/run', { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify(payload), +}); +console.log(await res.json()); +``` + + + + +--- + +### List VMs + +List all virtual machines. + +`GET: /lume/vms` + +#### Example Request + + + + +```bash +curl --connect-timeout 6000 \ + --max-time 5000 \ + http://localhost:7777/lume/vms +``` + + + + +```python +import requests + +r = requests.get("http://localhost:7777/lume/vms", timeout=50) +print(r.json()) +``` + + + + +```typescript +const res = await fetch('http://localhost:7777/lume/vms'); +console.log(await res.json()); +``` + + + + +```json +[ + { + "name": "my-vm", + "state": "stopped", + "os": "macOS", + "cpu": 2, + "memory": "4GB", + "diskSize": "64GB" + }, + { + "name": "my-vm-2", + "state": "stopped", + "os": "linux", + "cpu": 2, + "memory": "4GB", + "diskSize": "64GB" + } +] +``` + +--- + +### Get VM Details + +Get details for a specific virtual machine. + +`GET: /lume/vms/:name` + +#### Parameters + +| Name | Type | Required | Description | +| ------- | ------ | -------- | -------------------------- | +| storage | string | No | Storage type (`ssd`, etc.) | + +#### Example Request + + + + +```bash +# Basic get +curl --connect-timeout 6000 \ + --max-time 5000 \ + http://localhost:7777/lume/vms/lume_vm + +# Get with specific storage +curl --connect-timeout 6000 \ + --max-time 5000 \ + http://localhost:7777/lume/vms/lume_vm?storage=ssd +``` + + + + +```python +import requests + +# Basic get +details = requests.get("http://localhost:7777/lume/vms/lume_vm", timeout=50) +print(details.json()) + +# Get with specific storage +details = requests.get("http://localhost:7777/lume/vms/lume_vm", params={"storage": "ssd"}, timeout=50) +print(details.json()) +``` + + + + +```typescript +// Basic get +let res = await fetch('http://localhost:7777/lume/vms/lume_vm'); +console.log(await res.json()); + +// Get with specific storage +res = await fetch('http://localhost:7777/lume/vms/lume_vm?storage=ssd'); +console.log(await res.json()); +``` + + + + +```json +{ + "name": "lume_vm", + "state": "stopped", + "os": "macOS", + "cpu": 2, + "memory": "4GB", + "diskSize": "64GB", + "display": "1024x768", + "ipAddress": "192.168.65.2", + "vncPort": 5900, + "sharedDirectories": [ + { + "hostPath": "~/Projects", + "readOnly": false, + "tag": "com.apple.virtio-fs.automount" + } + ] +} +``` + +--- + +### Update VM Configuration + +Update the configuration of a virtual machine. + +`PATCH: /lume/vms/:name` + +#### Parameters + +| Name | Type | Required | Description | +| -------- | ------- | -------- | ------------------------------------- | +| cpu | integer | No | Number of CPU cores | +| memory | string | No | Memory size (e.g. `8GB`) | +| diskSize | string | No | Disk size (e.g. `100GB`) | +| display | string | No | Display resolution (e.g. `1920x1080`) | +| storage | string | No | Storage type (`ssd`, etc.) | + +#### Example Request + + + + +```bash +curl --connect-timeout 6000 \ + --max-time 5000 \ + -X PATCH \ + -H "Content-Type: application/json" \ + -d '{ + "cpu": 4, + "memory": "8GB", + "diskSize": "100GB", + "display": "1920x1080", + "storage": "ssd" + }' \ + http://localhost:7777/lume/vms/lume_vm +``` + + + + +```python +import requests + +payload = { + "cpu": 4, + "memory": "8GB", + "diskSize": "100GB", + "display": "1920x1080", + "storage": "ssd" +} +r = requests.patch("http://localhost:7777/lume/vms/lume_vm", json=payload, timeout=50) +print(r.json()) +``` + + + + +```typescript +const payload = { + cpu: 4, + memory: '8GB', + diskSize: '100GB', + display: '1920x1080', + storage: 'ssd', +}; +const res = await fetch('http://localhost:7777/lume/vms/lume_vm', { + method: 'PATCH', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify(payload), +}); +console.log(await res.json()); +``` + + + + +--- + +### Stop VM + +Stop a running virtual machine. + +`POST: /lume/vms/:name/stop` + +#### Parameters + +| Name | Type | Required | Description | +| ------- | ------ | -------- | -------------------------- | +| storage | string | No | Storage type (`ssd`, etc.) | + +#### Example Request + + + + +```bash +# Basic stop +curl --connect-timeout 6000 \ + --max-time 5000 \ + -X POST \ + http://localhost:7777/lume/vms/lume_vm/stop + +# Stop with storage location specified +curl --connect-timeout 6000 \ + --max-time 5000 \ + -X POST \ + http://localhost:7777/lume/vms/lume_vm/stop?storage=ssd +``` + + + + +```python +import requests + +# Basic stop +r = requests.post("http://localhost:7777/lume/vms/lume_vm/stop", timeout=50) +print(r.json()) + +# Stop with storage location specified +r = requests.post("http://localhost:7777/lume/vms/lume_vm/stop", params={"storage": "ssd"}, timeout=50) +print(r.json()) +``` + + + + +```typescript +// Basic stop +let res = await fetch('http://localhost:7777/lume/vms/lume_vm/stop', { + method: 'POST', +}); +console.log(await res.json()); + +// Stop with storage location specified +res = await fetch('http://localhost:7777/lume/vms/lume_vm/stop?storage=ssd', { + method: 'POST', +}); +console.log(await res.json()); +``` + + + + +--- + +### Delete VM + +Delete a virtual machine instance. + +`DELETE: /lume/vms/:name` + +#### Parameters + +| Name | Type | Required | Description | +| ------- | ------ | -------- | -------------------------- | +| storage | string | No | Storage type (`ssd`, etc.) | + +#### Example Request + + + + +```bash +# Basic delete +curl --connect-timeout 6000 \ + --max-time 5000 \ + -X DELETE \ + http://localhost:7777/lume/vms/lume_vm + +# Delete with specific storage +curl --connect-timeout 6000 \ + --max-time 5000 \ + -X DELETE \ + http://localhost:7777/lume/vms/lume_vm?storage=ssd +``` + + + + +```python +import requests + +# Basic delete +r = requests.delete("http://localhost:7777/lume/vms/lume_vm", timeout=50) +print(r.status_code) + +# Delete with specific storage +r = requests.delete("http://localhost:7777/lume/vms/lume_vm", params={"storage": "ssd"}, timeout=50) +print(r.status_code) +``` + + + + +```typescript +// Basic delete +let res = await fetch('http://localhost:7777/lume/vms/lume_vm', { + method: 'DELETE', +}); +console.log(res.status); + +// Delete with specific storage +res = await fetch('http://localhost:7777/lume/vms/lume_vm?storage=ssd', { + method: 'DELETE', +}); +console.log(res.status); +``` + + + + +--- + +### Clone VM + +Clone an existing virtual machine. + +`POST: /lume/vms/clone` + +#### Parameters + +| Name | Type | Required | Description | +| -------------- | ------ | -------- | ----------------------------------- | +| name | string | Yes | Source VM name | +| newName | string | Yes | New VM name | +| sourceLocation | string | No | Source storage location (`default`) | +| destLocation | string | No | Destination storage location | + +#### Example Request + + + + +```bash +curl --connect-timeout 6000 \ + --max-time 5000 \ + -X POST \ + -H "Content-Type: application/json" \ + -d '{ + "name": "source-vm", + "newName": "cloned-vm", + "sourceLocation": "default", + "destLocation": "ssd" + }' \ + http://localhost:7777/lume/vms/clone +``` + + + + +```python +import requests + +payload = { + "name": "source-vm", + "newName": "cloned-vm", + "sourceLocation": "default", + "destLocation": "ssd" +} +r = requests.post("http://localhost:7777/lume/vms/clone", json=payload, timeout=50) +print(r.json()) +``` + + + + +```typescript +const payload = { + name: 'source-vm', + newName: 'cloned-vm', + sourceLocation: 'default', + destLocation: 'ssd', +}; +const res = await fetch('http://localhost:7777/lume/vms/clone', { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify(payload), +}); +console.log(await res.json()); +``` + + + + +--- + +### Pull VM Image + +Pull a VM image from a registry. + +`POST: /lume/pull` + +#### Parameters + +| Name | Type | Required | Description | +| ------------ | ------ | -------- | ------------------------------------- | +| image | string | Yes | Image name (e.g. `macos-sequoia-...`) | +| name | string | No | VM name for the pulled image | +| registry | string | No | Registry host (e.g. `ghcr.io`) | +| organization | string | No | Organization name | +| storage | string | No | Storage type (`ssd`, etc.) | + +#### Example Request + + + + +```bash +curl --connect-timeout 6000 \ + --max-time 5000 \ + -X POST \ + -H "Content-Type: application/json" \ + -d '{ + "image": "macos-sequoia-vanilla:latest", + "name": "my-vm-name", + "registry": "ghcr.io", + "organization": "trycua", + "storage": "ssd" + }' \ + http://localhost:7777/lume/pull +``` + + + + +```python +import requests + +payload = { + "image": "macos-sequoia-vanilla:latest", + "name": "my-vm-name", + "registry": "ghcr.io", + "organization": "trycua", + "storage": "ssd" +} +r = requests.post("http://localhost:7777/lume/pull", json=payload, timeout=50) +print(r.json()) +``` + + + + +```typescript +const payload = { + image: 'macos-sequoia-vanilla:latest', + name: 'my-vm-name', + registry: 'ghcr.io', + organization: 'trycua', + storage: 'ssd', +}; +const res = await fetch('http://localhost:7777/lume/pull', { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify(payload), +}); +console.log(await res.json()); +``` + + + + +--- + +### Push VM Image + +Push a VM to a registry as an image (asynchronous operation). + +`POST: /lume/vms/push` + +#### Parameters + +| Name | Type | Required | Description | +| ------------ | ------------ | -------- | ----------------------------------------------- | +| name | string | Yes | Local VM name to push | +| imageName | string | Yes | Image name in registry | +| tags | array | Yes | Image tags (e.g. `["latest", "v1"]`) | +| organization | string | Yes | Organization name | +| registry | string | No | Registry host (e.g. `ghcr.io`) | +| chunkSizeMb | integer | No | Chunk size in MB for upload | +| storage | string/null | No | Storage type (`ssd`, etc.) | + +#### Example Request + + + + +```bash +curl --connect-timeout 6000 \ + --max-time 5000 \ + -X POST \ + -H "Content-Type: application/json" \ + -d '{ + "name": "my-local-vm", + "imageName": "my-image", + "tags": ["latest", "v1"], + "organization": "my-org", + "registry": "ghcr.io", + "chunkSizeMb": 512, + "storage": null + }' \ + http://localhost:7777/lume/vms/push +``` + + + + +```python +import requests + +payload = { + "name": "my-local-vm", + "imageName": "my-image", + "tags": ["latest", "v1"], + "organization": "my-org", + "registry": "ghcr.io", + "chunkSizeMb": 512, + "storage": None +} +r = requests.post("http://localhost:7777/lume/vms/push", json=payload, timeout=50) +print(r.json()) +``` + + + + +```typescript +const payload = { + name: 'my-local-vm', + imageName: 'my-image', + tags: ['latest', 'v1'], + organization: 'my-org', + registry: 'ghcr.io', + chunkSizeMb: 512, + storage: null, +}; +const res = await fetch('http://localhost:7777/lume/vms/push', { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify(payload), +}); +console.log(await res.json()); +``` + + + + +**Response (202 Accepted):** + +```json +{ + "message": "Push initiated in background", + "name": "my-local-vm", + "imageName": "my-image", + "tags": [ + "latest", + "v1" + ] +} +``` + +--- + +### List Images + +List available VM images. + +`GET: /lume/images` + +#### Example Request + + + + +```bash +curl --connect-timeout 6000 \ + --max-time 5000 \ + http://localhost:7777/lume/images +``` + + + + +```python +import requests + +r = requests.get("http://localhost:7777/lume/images", timeout=50) +print(r.json()) +``` + + + + +```typescript +const res = await fetch('http://localhost:7777/lume/images'); +console.log(await res.json()); +``` + + + + +```json +{ + "local": [ + "macos-sequoia-xcode:latest", + "macos-sequoia-vanilla:latest" + ] +} +``` + +--- + +### Prune Images + +Remove unused VM images to free up disk space. + +`POST: /lume/prune` + +#### Example Request + + + + +```bash +curl --connect-timeout 6000 \ + --max-time 5000 \ + -X POST \ + http://localhost:7777/lume/prune +``` + + + + +```python +import requests + +r = requests.post("http://localhost:7777/lume/prune", timeout=50) +print(r.json()) +``` + + + + +```typescript +const res = await fetch('http://localhost:7777/lume/prune', { + method: 'POST', +}); +console.log(await res.json()); +``` + + + + +--- + +### Get Latest IPSW URL + +Get the URL for the latest macOS IPSW file. + +`GET: /lume/ipsw` + +#### Example Request + + + + +```bash +curl --connect-timeout 6000 \ + --max-time 5000 \ + http://localhost:7777/lume/ipsw +``` + + + + +```python +import requests + +r = requests.get("http://localhost:7777/lume/ipsw", timeout=50) +print(r.json()) +``` + + + + +```typescript +const res = await fetch('http://localhost:7777/lume/ipsw'); +console.log(await res.json()); +``` + + + + +--- + +## Configuration Management + +### Get Configuration + +Get current Lume configuration settings. + +`GET: /lume/config` + +#### Example Request + + + + +```bash +curl --connect-timeout 6000 \ + --max-time 5000 \ + http://localhost:7777/lume/config +``` + + + + +```python +import requests + +r = requests.get("http://localhost:7777/lume/config", timeout=50) +print(r.json()) +``` + + + + +```typescript +const res = await fetch('http://localhost:7777/lume/config'); +console.log(await res.json()); +``` + + + + +```json +{ + "homeDirectory": "~/.lume", + "cacheDirectory": "~/.lume/cache", + "cachingEnabled": true +} +``` + +### Update Configuration + +Update Lume configuration settings. + +`POST: /lume/config` + +#### Parameters + +| Name | Type | Required | Description | +| --------------- | ------- | -------- | -------------------------------- | +| homeDirectory | string | No | Lume home directory path | +| cacheDirectory | string | No | Cache directory path | +| cachingEnabled | boolean | No | Enable or disable caching | + +#### Example Request + + + + +```bash +curl --connect-timeout 6000 \ + --max-time 5000 \ + -X POST \ + -H "Content-Type: application/json" \ + -d '{ + "homeDirectory": "~/custom/lume", + "cacheDirectory": "~/custom/lume/cache", + "cachingEnabled": true + }' \ + http://localhost:7777/lume/config +``` + + + + +```python +import requests + +payload = { + "homeDirectory": "~/custom/lume", + "cacheDirectory": "~/custom/lume/cache", + "cachingEnabled": True +} +r = requests.post("http://localhost:7777/lume/config", json=payload, timeout=50) +print(r.json()) +``` + + + + +```typescript +const payload = { + homeDirectory: '~/custom/lume', + cacheDirectory: '~/custom/lume/cache', + cachingEnabled: true, +}; +const res = await fetch('http://localhost:7777/lume/config', { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify(payload), +}); +console.log(await res.json()); +``` + + + + +--- + +## Storage Location Management + +### Get VM Storage Locations + +List all configured VM storage locations. + +`GET: /lume/config/locations` + +#### Example Request + + + + +```bash +curl --connect-timeout 6000 \ + --max-time 5000 \ + http://localhost:7777/lume/config/locations +``` + + + + +```python +import requests + +r = requests.get("http://localhost:7777/lume/config/locations", timeout=50) +print(r.json()) +``` + + + + +```typescript +const res = await fetch('http://localhost:7777/lume/config/locations'); +console.log(await res.json()); +``` + + + + +```json +[ + { + "name": "default", + "path": "~/.lume/vms", + "isDefault": true + }, + { + "name": "ssd", + "path": "/Volumes/SSD/lume/vms", + "isDefault": false + } +] +``` + +### Add VM Storage Location + +Add a new VM storage location. + +`POST: /lume/config/locations` + +#### Parameters + +| Name | Type | Required | Description | +| ---- | ------ | -------- | ---------------------------- | +| name | string | Yes | Storage location name | +| path | string | Yes | File system path for storage | + +#### Example Request + @@ -169,1068 +1265,3 @@ console.log(await res.json()); - "name": "lume_vm", - "os": "macOS", - "cpu": 2, - "memory": "4GB", - "diskSize": "64GB", - "display": "1024x768", - "ipsw": "latest", - "storage": "ssd" - }' \ - http://localhost:7777/lume/vms -``` - - - - -```python -import requests - -payload = { - "name": "lume_vm", - "os": "macOS", - "cpu": 2, - "memory": "4GB", - "diskSize": "64GB", - "display": "1024x768", - "ipsw": "latest", - "storage": "ssd" -} -r = requests.post("http://localhost:7777/lume/vms", json=payload, timeout=50) -print(r.json()) -``` - - - - -```typescript -const payload = { - name: "lume_vm", - os: "macOS", - cpu: 2, - memory: "4GB", - diskSize: "64GB", - display: "1024x768", - ipsw: "latest", - storage: "ssd" -} - -const res = await fetch('http://localhost:7777/lume/vms', { - method: 'POST', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify(payload), -}); -console.log(await res.json()) -``` - - - - -### Run VM - -Run a virtual machine instance. - -`POST: /vms/:name/run` - -#### Parameters - -| Name | Type | Required | Description | -| ----------------- | --------------- | -------- | --------------------------------------------------- | -| noDisplay | boolean | No | If true, do not start VNC client | -| sharedDirectories | array of object | No | List of shared directories (`hostPath`, `readOnly`) | -| recoveryMode | boolean | No | Start in recovery mode | -| storage | string | No | Storage type (`ssd`, etc.) | - -#### Example Request - - - - -```bash -# Basic run -curl --connect-timeout 6000 \ - --max-time 5000 \ - -X POST \ - http://localhost:7777/lume/vms/my-vm-name/run - -# Run with VNC client started and shared directory -curl --connect-timeout 6000 \ - --max-time 5000 \ - -X POST \ - -H "Content-Type: application/json" \ - -d '{ - "noDisplay": false, - "sharedDirectories": [ - { - "hostPath": "~/Projects", - "readOnly": false - } - ], - "recoveryMode": false, - "storage": "ssd" - }' \ - http://localhost:7777/lume/vms/lume_vm/run -``` - - - - -```python -import requests - -# Basic run -r = requests.post("http://localhost:7777/lume/vms/my-vm-name/run", timeout=50) -print(r.json()) - -# With VNC and shared directory -payload = { - "noDisplay": False, - "sharedDirectories": [ - {"hostPath": "~/Projects", "readOnly": False} - ], - "recoveryMode": False, - "storage": "ssd" -} -r = requests.post("http://localhost:7777/lume/vms/lume_vm/run", json=payload, timeout=50) -print(r.json()) -``` - - - - -```typescript -// Basic run -const res = await fetch('http://localhost:7777/lume/vms/my-vm-name/run', { - method: 'POST', -}); -console.log(await res.json()); - -// With VNC and shared directory -const payload = { - noDisplay: false, - sharedDirectories: [{ hostPath: '~/Projects', readOnly: false }], - recoveryMode: false, - storage: 'ssd', -}; -const res2 = await fetch('http://localhost:7777/lume/vms/lume_vm/run', { - method: 'POST', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify(payload), -}); -console.log(await res2.json()); -``` - - - - -### List VMs - -List all virtual machines. - -`GET: /vms` - -#### Example Request - - - - -```bash -curl --connect-timeout 6000 \ - --max-time 5000 \ - http://localhost:7777/lume/vms -``` - - - - -```python -import requests - -r = requests.get("http://localhost:7777/lume/vms", timeout=50) -print(r.json()) -``` - - - - -```typescript -const res = await fetch('http://localhost:7777/lume/vms'); -console.log(await res.json()); -``` - - - - -```json -[ - { - "name": "my-vm", - "state": "stopped", - "os": "macOS", - "cpu": 2, - "memory": "4GB", - "diskSize": "64GB" - }, - { - "name": "my-vm-2", - "state": "stopped", - "os": "linux", - "cpu": 2, - "memory": "4GB", - "diskSize": "64GB" - } -] -``` - -### Get VM Details - -Get details for a specific virtual machine. - -`GET: /vms/:name` - -#### Parameters - -| Name | Type | Required | Description | -| ------- | ------ | -------- | -------------------------- | -| storage | string | No | Storage type (`ssd`, etc.) | - -#### Example Request - - - - -```bash -# Basic get -curl --connect-timeout 6000 \ - --max-time 5000 \ - http://localhost:7777/lume/vms/lume_vm - -# Get with specific storage -curl --connect-timeout 6000 \ - --max-time 5000 \ - http://localhost:7777/lume/vms/lume_vm?storage=ssd -``` - - - - -```python -import requests - -# Basic get -details = requests.get("http://localhost:7777/lume/vms/lume_vm", timeout=50) -print(details.json()) - -# Get with specific storage -details = requests.get("http://localhost:7777/lume/vms/lume_vm", params={"storage": "ssd"}, timeout=50) -print(details.json()) -``` - - - - -```typescript -// Basic get -const res = await fetch('http://localhost:7777/lume/vms/lume_vm'); -console.log(await res.json()); - -// Get with specific storage -const res2 = await fetch('http://localhost:7777/lume/vms/lume_vm?storage=ssd'); -console.log(await res2.json()); -``` - - - - -```json -{ - "name": "lume_vm", - "state": "stopped", - "os": "macOS", - "cpu": 2, - "memory": "4GB", - "diskSize": "64GB", - "display": "1024x768", - "ipAddress": "192.168.65.2", - "vncPort": 5900, - "sharedDirectories": [ - { - "hostPath": "~/Projects", - "readOnly": false, - "tag": "com.apple.virtio-fs.automount" - } - ] -} -``` - -### Update VM Configuration - -Update the configuration of a virtual machine. - -`PATCH: /vms/:name` - -#### Parameters - -| Name | Type | Required | Description | -| -------- | ------- | -------- | ------------------------------------- | -| cpu | integer | No | Number of CPU cores | -| memory | string | No | Memory size (e.g. `8GB`) | -| diskSize | string | No | Disk size (e.g. `100GB`) | -| display | string | No | Display resolution (e.g. `1920x1080`) | -| storage | string | No | Storage type (`ssd`, etc.) | - -#### Example Request - - - - -```bash -curl --connect-timeout 6000 \ - --max-time 5000 \ - -X PATCH \ - -H "Content-Type: application/json" \ - -d '{ - "cpu": 4, - "memory": "8GB", - "diskSize": "100GB", - "display": "1920x1080", - "storage": "ssd" - }' \ - http://localhost:7777/lume/vms/lume_vm -``` - - - - -```python -import requests - -payload = { - "cpu": 4, - "memory": "8GB", - "diskSize": "100GB", - "display": "1920x1080", - "storage": "ssd" -} -r = requests.patch("http://localhost:7777/lume/vms/lume_vm", json=payload, timeout=50) -print(r.json()) -``` - - - - -```typescript -const payload = { - cpu: 4, - memory: '8GB', - diskSize: '100GB', - display: '1920x1080', - storage: 'ssd', -}; -const res = await fetch('http://localhost:7777/lume/vms/lume_vm', { - method: 'PATCH', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify(payload), -}); -console.log(await res.json()); -``` - - - - -### Stop VM - -Stop a running virtual machine. - -`POST: /vms/:name/stop` - -#### Parameters - -| Name | Type | Required | Description | -| ------- | ------ | -------- | -------------------------- | -| storage | string | No | Storage type (`ssd`, etc.) | - -#### Example Request - - - - -```bash -# Basic stop -curl --connect-timeout 6000 \ - --max-time 5000 \ - -X POST \ - http://localhost:7777/lume/vms/lume_vm/stop - -# Stop with storage location specified -curl --connect-timeout 6000 \ - --max-time 5000 \ - -X POST \ - http://localhost:7777/lume/vms/lume_vm/stop?storage=ssd -``` - - - - -```python -import requests - -# Basic stop -r = requests.post("http://localhost:7777/lume/vms/lume_vm/stop", timeout=50) -print(r.json()) - -# Stop with storage location specified -r = requests.post("http://localhost:7777/lume/vms/lume_vm/stop", params={"storage": "ssd"}, timeout=50) -print(r.json()) -``` - - - - -```typescript -// Basic stop -const res = await fetch('http://localhost:7777/lume/vms/lume_vm/stop', { - method: 'POST', -}); -console.log(await res.json()); - -// Stop with storage location specified -const res2 = await fetch('http://localhost:7777/lume/vms/lume_vm/stop?storage=ssd', { - method: 'POST', -}); -console.log(await res2.json()); -``` - - - - -### Delete VM - -Delete a virtual machine instance. - -`DELETE: /vms/:name` - -#### Parameters - -| Name | Type | Required | Description | -| ------- | ------ | -------- | -------------------------- | -| storage | string | No | Storage type (`ssd`, etc.) | - -#### Example Request - - - - -```bash -# Basic delete -curl --connect-timeout 6000 \ - --max-time 5000 \ - -X DELETE \ - http://localhost:7777/lume/vms/lume_vm - -# Delete with specific storage -curl --connect-timeout 6000 \ - --max-time 5000 \ - -X DELETE \ - http://localhost:7777/lume/vms/lume_vm?storage=ssd -``` - - - - -```python -import requests - -# Basic delete -r = requests.delete("http://localhost:7777/lume/vms/lume_vm", timeout=50) -print(r.status_code) - -# Delete with specific storage -r = requests.delete("http://localhost:7777/lume/vms/lume_vm", params={"storage": "ssd"}, timeout=50) -print(r.status_code) -``` - - - - -```typescript -// Basic delete -const res = await fetch('http://localhost:7777/lume/vms/lume_vm', { - method: 'DELETE', -}); -console.log(res.status); - -// Delete with specific storage -const res2 = await fetch('http://localhost:7777/lume/vms/lume_vm?storage=ssd', { - method: 'DELETE', -}); -console.log(res2.status); -``` - - - - -### Clone VM - -Clone an existing virtual machine. - -`POST: /vms/:name/clone` - -#### Parameters - -| Name | Type | Required | Description | -| -------------- | ------ | -------- | ----------------------------------- | -| name | string | Yes | Source VM name | -| newName | string | Yes | New VM name | -| sourceLocation | string | No | Source storage location (`default`) | -| destLocation | string | No | Destination storage location | - -#### Example Request - - - - -```bash -curl --connect-timeout 6000 \ - --max-time 5000 \ - -X POST \ - -H "Content-Type: application/json" \ - -d '{ - "name": "source-vm", - "newName": "cloned-vm", - "sourceLocation": "default", - "destLocation": "ssd" - }' \ - http://localhost:7777/lume/vms/clone -``` - - - - -```python -import requests - -payload = { - "name": "source-vm", - "newName": "cloned-vm", - "sourceLocation": "default", - "destLocation": "ssd" -} -r = requests.post("http://localhost:7777/lume/vms/clone", json=payload, timeout=50) -print(r.json()) -``` - - - - -```typescript -const payload = { - name: 'source-vm', - newName: 'cloned-vm', - sourceLocation: 'default', - destLocation: 'ssd', -}; -const res = await fetch('http://localhost:7777/lume/vms/clone', { - method: 'POST', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify(payload), -}); -console.log(await res.json()); -``` - - - - -### Pull VM Image - -Pull a VM image from a registry. - -`POST: /pull` - -#### Parameters - -| Name | Type | Required | Description | -| ------------ | ------ | -------- | ------------------------------------- | -| image | string | Yes | Image name (e.g. `macos-sequoia-...`) | -| name | string | No | VM name for the pulled image | -| registry | string | No | Registry host (e.g. `ghcr.io`) | -| organization | string | No | Organization name | -| storage | string | No | Storage type (`ssd`, etc.) | - -#### Example Request - - - - -```bash -curl --connect-timeout 6000 \ - --max-time 5000 \ - -X POST \ - -H "Content-Type: application/json" \ - -d '{ - "image": "macos-sequoia-vanilla:latest", - "name": "my-vm-name", - "registry": "ghcr.io", - "organization": "trycua", - "storage": "ssd" - }' \ - http://localhost:7777/lume/pull -``` - - - - -```python -import requests - -payload = { - "image": "macos-sequoia-vanilla:latest", - "name": "my-vm-name", - "registry": "ghcr.io", - "organization": "trycua", - "storage": "ssd" -} -r = requests.post("http://localhost:7777/lume/pull", json=payload, timeout=50) -print(r.json()) -``` - - - - -```typescript -const payload = { - image: 'macos-sequoia-vanilla:latest', - name: 'my-vm-name', - registry: 'ghcr.io', - organization: 'trycua', - storage: 'ssd', -}; -const res = await fetch('http://localhost:7777/lume/pull', { - method: 'POST', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify(payload), -}); -console.log(await res.json()); -``` - - - - -### Push VM Image - -Push a VM to a registry as an image (asynchronous operation). - -`POST: /vms/push` - -#### Parameters - -| Name | Type | Required | Description | -| ------------ | ------------ | -------- | ----------------------------------------------- | -| name | string | Yes | Local VM name to push | -| imageName | string | Yes | Image name in registry | -| tags | array | Yes | Image tags (e.g. `["latest", "v1"]`) | -| organization | string | Yes | Organization name | -| registry | string | No | Registry host (e.g. `ghcr.io`) | -| chunkSizeMb | integer | No | Chunk size in MB for upload | -| storage | string/null | No | Storage type (`ssd`, etc.) | - -#### Example Request - - - - -```bash -curl --connect-timeout 6000 \ - --max-time 5000 \ - -X POST \ - -H "Content-Type: application/json" \ - -d '{ - "name": "my-local-vm", - "imageName": "my-image", - "tags": ["latest", "v1"], - "organization": "my-org", - "registry": "ghcr.io", - "chunkSizeMb": 512, - "storage": null - }' \ - http://localhost:7777/lume/vms/push -``` - - - - -```python -import requests - -payload = { - "name": "my-local-vm", - "imageName": "my-image", - "tags": ["latest", "v1"], - "organization": "my-org", - "registry": "ghcr.io", - "chunkSizeMb": 512, - "storage": None -} -r = requests.post("http://localhost:7777/lume/vms/push", json=payload, timeout=50) -print(r.json()) -``` - - - - -```typescript -const payload = { - name: 'my-local-vm', - imageName: 'my-image', - tags: ['latest', 'v1'], - organization: 'my-org', - registry: 'ghcr.io', - chunkSizeMb: 512, - storage: null, -}; -const res = await fetch('http://localhost:7777/lume/vms/push', { - method: 'POST', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify(payload), -}); -console.log(await res.json()); -``` - - - - -**Response (202 Accepted):** - -```json -{ - "message": "Push initiated in background", - "name": "my-local-vm", - "imageName": "my-image", - "tags": [ - "latest", - "v1" - ] -} -``` - -### List Images - -List available VM images. - -`GET: /images` - -#### Example Request - - - - -```bash -curl --connect-timeout 6000 \ - --max-time 5000 \ - http://localhost:7777/lume/images -``` - - - - -```python -import requests - -r = requests.get("http://localhost:7777/lume/images", timeout=50) -print(r.json()) -``` - - - - -```typescript -const res = await fetch('http://localhost:7777/lume/images'); -console.log(await res.json()); -``` - - - - -```json -{ - "local": [ - "macos-sequoia-xcode:latest", - "macos-sequoia-vanilla:latest" - ] -} -``` - -### Prune Images - -Remove unused VM images to free up disk space. - -`POST: /lume/prune` - -#### Example Request - - - - -```bash -curl --connect-timeout 6000 \ - --max-time 5000 \ - -X POST \ - http://localhost:7777/lume/prune -``` - - - - -```python -import requests - -r = requests.post("http://localhost:7777/lume/prune", timeout=50) -print(r.json()) -``` - - - - -```typescript -const res = await fetch('http://localhost:7777/lume/prune', { - method: 'POST', -}); -console.log(await res.json()); -``` - - - - -### Get Latest IPSW URL - -Get the URL for the latest macOS IPSW file. - -`GET: /ipsw` - -#### Example Request - - - - -```bash -curl --connect-timeout 6000 \ - --max-time 5000 \ - http://localhost:7777/lume/ipsw -``` - - - - -```python -import requests - -r = requests.get("http://localhost:7777/lume/ipsw", timeout=50) -print(r.json()) -``` - - - - -```typescript -const res = await fetch('http://localhost:7777/lume/ipsw'); -console.log(await res.json()); -``` - - - - -## Configuration Management - -### Get Configuration - -Get current Lume configuration settings. - -`GET: /lume/config` - -#### Example Request - - - - -```bash -curl --connect-timeout 6000 \ - --max-time 5000 \ - http://localhost:7777/lume/config -``` - - - - -```python -import requests - -r = requests.get("http://localhost:7777/lume/config", timeout=50) -print(r.json()) -``` - - - - -```typescript -const res = await fetch('http://localhost:7777/lume/config'); -console.log(await res.json()); -``` - - - - -```json -{ - "homeDirectory": "~/.lume", - "cacheDirectory": "~/.lume/cache", - "cachingEnabled": true -} -``` - -### Update Configuration - -Update Lume configuration settings. - -`POST: /lume/config` - -#### Parameters - -| Name | Type | Required | Description | -| --------------- | ------- | -------- | -------------------------------- | -| homeDirectory | string | No | Lume home directory path | -| cacheDirectory | string | No | Cache directory path | -| cachingEnabled | boolean | No | Enable or disable caching | - -#### Example Request - - - - -```bash -curl --connect-timeout 6000 \ - --max-time 5000 \ - -X POST \ - -H "Content-Type: application/json" \ - -d '{ - "homeDirectory": "~/custom/lume", - "cacheDirectory": "~/custom/lume/cache", - "cachingEnabled": true - }' \ - http://localhost:7777/lume/config -``` - - - - -```python -import requests - -payload = { - "homeDirectory": "~/custom/lume", - "cacheDirectory": "~/custom/lume/cache", - "cachingEnabled": True -} -r = requests.post("http://localhost:7777/lume/config", json=payload, timeout=50) -print(r.json()) -``` - - - - -```typescript -const payload = { - homeDirectory: '~/custom/lume', - cacheDirectory: '~/custom/lume/cache', - cachingEnabled: true, -}; -const res = await fetch('http://localhost:7777/lume/config', { - method: 'POST', - headers: { 'Content-Type': 'application/json' }, - body: JSON.stringify(payload), -}); -console.log(await res.json()); -``` - - - - -## Storage Location Management - -### Get VM Storage Locations - -List all configured VM storage locations. - -`GET: /lume/config/locations` - -#### Example Request - - - - -```bash -curl --connect-timeout 6000 \ - --max-time 5000 \ - http://localhost:7777/lume/config/locations -``` - - - - -```python -import requests - -r = requests.get("http://localhost:7777/lume/config/locations", timeout=50) -print(r.json()) -``` - - - - -```typescript -const res = await fetch('http://localhost:7777/lume/config/locations'); -console.log(await res.json()); -``` - - - - -```json -[ - { - "name": "default", - "path": "~/.lume/vms", - "isDefault": true - }, - { - "name": "ssd", - "path": "/Volumes/SSD/lume/vms", - "isDefault": false - } -] -``` - -### Add VM Storage Location - -Add a new VM storage location. - -`POST: /lume/config/locations` - -#### Parameters - -| Name | Type | Required | Description | -| ---- | ------ | -------- | ------------------------------ | -| name | string | Yes | Storage location name | -| path | string | Yes | File system path for storage | - -#### Example Request - - - - -```bash -curl --connect-timeout 6000 \ - --max-time 5000 \ - -X POST \ - -H "Content-Type: application/json" \ - -d '{ \ No newline at end of file From 9294540c1584b5c324a38642d283a19c5f4617ba Mon Sep 17 00:00:00 2001 From: James Murdza Date: Wed, 27 Aug 2025 20:44:58 -0400 Subject: [PATCH 089/103] Use callouts for notes --- docs/content/docs/agent-sdk/prompt-caching.mdx | 4 +++- .../docs/libraries/lume/cli-reference.mdx | 18 ++++++++++++++---- 2 files changed, 17 insertions(+), 5 deletions(-) diff --git a/docs/content/docs/agent-sdk/prompt-caching.mdx b/docs/content/docs/agent-sdk/prompt-caching.mdx index 5049b4bb..721895c5 100644 --- a/docs/content/docs/agent-sdk/prompt-caching.mdx +++ b/docs/content/docs/agent-sdk/prompt-caching.mdx @@ -25,7 +25,9 @@ agent = ComputerAgent( When using Anthropic-based CUAs (Claude models), setting `use_prompt_caching=True` will automatically add `{ "cache_control": "ephemeral" }` to your messages. This enables prompt caching for the session and can speed up repeated runs with the same prompt. -> **Note:** This argument is only required for Anthropic CUAs. For other providers, it is ignored. + +This argument is only required for Anthropic CUAs. For other providers, it is ignored. + ## OpenAI Provider diff --git a/docs/content/docs/libraries/lume/cli-reference.mdx b/docs/content/docs/libraries/lume/cli-reference.mdx index 4837d154..90edf035 100644 --- a/docs/content/docs/libraries/lume/cli-reference.mdx +++ b/docs/content/docs/libraries/lume/cli-reference.mdx @@ -3,6 +3,8 @@ title: Lume CLI Reference description: Command Line Interface reference for Lume --- +import { Callout } from 'fumadocs-ui/components/callout'; + Lume is a lightweight Command Line Interface and local API server for creating, running and managing **macOS and Linux virtual machines** with near-native performance on Apple Silicon, using Apple's [Virtualization.Framework](https://developer.apple.com/documentation/virtualization). ## Quick Start @@ -16,7 +18,9 @@ Install and run a prebuilt macOS VM in two commands: lume run macos-sequoia-vanilla:latest ``` -> **Security Note**: All prebuilt images use the default password `lume`. Change this immediately after your first login using the `passwd` command. + +All prebuilt images use the default password `lume`. Change this immediately after your first login using the `passwd` command. + **System Requirements**: - Apple Silicon Mac (M1, M2, M3, etc.) @@ -38,7 +42,9 @@ By default, Lume is installed as a background service that starts automatically /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/trycua/cua/main/libs/lume/scripts/install.sh) --no-background-service" ``` -> **Note:** With this option, you'll need to manually start the Lume API service by running `lume serve` in your terminal whenever you need to use tools or libraries that rely on the Lume API (such as the Computer-Use Agent). + +With this option, you'll need to manually start the Lume API service by running `lume serve` in your terminal whenever you need to use tools or libraries that rely on the Lume API (such as the Computer-Use Agent). + You can also download the `lume.pkg.tar.gz` archive from the [latest release](https://github.com/trycua/cua/releases?q=lume&expanded=true), extract it, and install the package manually. @@ -56,7 +62,9 @@ lume run macos-sequoia-vanilla:latest lume run ubuntu-noble-vanilla:latest ``` -> We provide prebuilt VM images in our [ghcr registry](https://github.com/orgs/trycua/packages). + +We provide prebuilt VM images in our [ghcr registry](https://github.com/orgs/trycua/packages). + ### Create a Custom VM @@ -68,4 +76,6 @@ lume create my-macos-vm --cpu 4 --memory 8GB --disk-size 50GB lume create my-linux-vm --os linux --cpu 2 --memory 4GB ``` -> **Disk Space**: The actual disk space used by sparse images will be much lower than the logical size listed. You can resize VM disks after creation using `lume set --disk-size `. + +The actual disk space used by sparse images will be much lower than the logical size listed. You can resize VM disks after creation using `lume set --disk-size `. + From 1be96220c16cb60a6fa9b0a8881fbda54d1fc7c6 Mon Sep 17 00:00:00 2001 From: James Murdza Date: Wed, 27 Aug 2025 21:01:30 -0400 Subject: [PATCH 090/103] Add Installation page to Lume docs --- .../docs/libraries/lume/cli-reference.mdx | 45 ------------------- docs/content/docs/libraries/lume/index.mdx | 4 +- .../docs/libraries/lume/installation.mdx | 45 +++++++++++++++++++ docs/content/docs/libraries/lume/meta.json | 7 +++ 4 files changed, 53 insertions(+), 48 deletions(-) create mode 100644 docs/content/docs/libraries/lume/installation.mdx create mode 100644 docs/content/docs/libraries/lume/meta.json diff --git a/docs/content/docs/libraries/lume/cli-reference.mdx b/docs/content/docs/libraries/lume/cli-reference.mdx index 90edf035..8c4b2c61 100644 --- a/docs/content/docs/libraries/lume/cli-reference.mdx +++ b/docs/content/docs/libraries/lume/cli-reference.mdx @@ -5,51 +5,6 @@ description: Command Line Interface reference for Lume import { Callout } from 'fumadocs-ui/components/callout'; -Lume is a lightweight Command Line Interface and local API server for creating, running and managing **macOS and Linux virtual machines** with near-native performance on Apple Silicon, using Apple's [Virtualization.Framework](https://developer.apple.com/documentation/virtualization). - -## Quick Start - -Install and run a prebuilt macOS VM in two commands: - -```bash -# Install Lume -/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/trycua/cua/main/libs/lume/scripts/install.sh)" -# Pull & start a macOS image -lume run macos-sequoia-vanilla:latest -``` - - -All prebuilt images use the default password `lume`. Change this immediately after your first login using the `passwd` command. - - -**System Requirements**: -- Apple Silicon Mac (M1, M2, M3, etc.) -- macOS 13.0 or later -- At least 8GB of RAM (16GB recommended) -- At least 50GB of free disk space - -## Install - -Install with a single command: - -```bash -/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/trycua/cua/main/libs/lume/scripts/install.sh)" -``` - -By default, Lume is installed as a background service that starts automatically on login. If you prefer to start the Lume API service manually when needed, you can use the `--no-background-service` option: - -```bash -/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/trycua/cua/main/libs/lume/scripts/install.sh) --no-background-service" -``` - - -With this option, you'll need to manually start the Lume API service by running `lume serve` in your terminal whenever you need to use tools or libraries that rely on the Lume API (such as the Computer-Use Agent). - - -You can also download the `lume.pkg.tar.gz` archive from the [latest release](https://github.com/trycua/cua/releases?q=lume&expanded=true), extract it, and install the package manually. - -## Using Lume - Once installed, you can start using Lume with these common workflows: ### Run a Prebuilt VM diff --git a/docs/content/docs/libraries/lume/index.mdx b/docs/content/docs/libraries/lume/index.mdx index 28080bff..d62c80e0 100644 --- a/docs/content/docs/libraries/lume/index.mdx +++ b/docs/content/docs/libraries/lume/index.mdx @@ -5,6 +5,4 @@ github: - https://github.com/trycua/cua/tree/main/libs/lume --- -## Overview - -The Lume CLI provides command line tools for managing virtual machines with Lume. +Lume is a lightweight Command Line Interface and local API server for creating, running and managing **macOS and Linux virtual machines** with near-native performance on Apple Silicon, using Apple's [Virtualization.Framework](https://developer.apple.com/documentation/virtualization). \ No newline at end of file diff --git a/docs/content/docs/libraries/lume/installation.mdx b/docs/content/docs/libraries/lume/installation.mdx new file mode 100644 index 00000000..dac0df75 --- /dev/null +++ b/docs/content/docs/libraries/lume/installation.mdx @@ -0,0 +1,45 @@ +--- +title: Installation +description: Installation instructions for the current version of the Lume CLI. +--- + +## Quick Start + +Install and run a prebuilt macOS VM in two commands: + +```bash +# Install Lume +/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/trycua/cua/main/libs/lume/scripts/install.sh)" +# Pull & start a macOS image +lume run macos-sequoia-vanilla:latest +``` + + +All prebuilt images use the default password `lume`. Change this immediately after your first login using the `passwd` command. + + +**System Requirements**: +- Apple Silicon Mac (M1, M2, M3, etc.) +- macOS 13.0 or later +- At least 8GB of RAM (16GB recommended) +- At least 50GB of free disk space + +## Install + +Install with a single command: + +```bash +/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/trycua/cua/main/libs/lume/scripts/install.sh)" +``` + +By default, Lume is installed as a background service that starts automatically on login. If you prefer to start the Lume API service manually when needed, you can use the `--no-background-service` option: + +```bash +/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/trycua/cua/main/libs/lume/scripts/install.sh) --no-background-service" +``` + + +With this option, you'll need to manually start the Lume API service by running `lume serve` in your terminal whenever you need to use tools or libraries that rely on the Lume API (such as the Computer-Use Agent). + + +You can also download the `lume.pkg.tar.gz` archive from the [latest release](https://github.com/trycua/cua/releases?q=lume&expanded=true), extract it, and install the package manually. \ No newline at end of file diff --git a/docs/content/docs/libraries/lume/meta.json b/docs/content/docs/libraries/lume/meta.json new file mode 100644 index 00000000..dbca49ea --- /dev/null +++ b/docs/content/docs/libraries/lume/meta.json @@ -0,0 +1,7 @@ +{ + "pages": [ + "installation", + "cli-reference", + "http-api" + ] +} From 40254ee6522eb35beec75191c82827a1f33fcd72 Mon Sep 17 00:00:00 2001 From: James Murdza Date: Wed, 27 Aug 2025 21:03:11 -0400 Subject: [PATCH 091/103] Organize headers --- docs/content/docs/libraries/lume/installation.mdx | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/docs/content/docs/libraries/lume/installation.mdx b/docs/content/docs/libraries/lume/installation.mdx index dac0df75..161e48e0 100644 --- a/docs/content/docs/libraries/lume/installation.mdx +++ b/docs/content/docs/libraries/lume/installation.mdx @@ -3,7 +3,7 @@ title: Installation description: Installation instructions for the current version of the Lume CLI. --- -## Quick Start +## Quickstart Install and run a prebuilt macOS VM in two commands: @@ -24,7 +24,7 @@ All prebuilt images use the default password `lume`. Change this immediately aft - At least 8GB of RAM (16GB recommended) - At least 50GB of free disk space -## Install +## Install with Script Install with a single command: @@ -32,6 +32,7 @@ Install with a single command: /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/trycua/cua/main/libs/lume/scripts/install.sh)" ``` +### Manual Start (No Background Service) By default, Lume is installed as a background service that starts automatically on login. If you prefer to start the Lume API service manually when needed, you can use the `--no-background-service` option: ```bash @@ -42,4 +43,5 @@ By default, Lume is installed as a background service that starts automatically With this option, you'll need to manually start the Lume API service by running `lume serve` in your terminal whenever you need to use tools or libraries that rely on the Lume API (such as the Computer-Use Agent). +## Manual Download and Installation You can also download the `lume.pkg.tar.gz` archive from the [latest release](https://github.com/trycua/cua/releases?q=lume&expanded=true), extract it, and install the package manually. \ No newline at end of file From 7814ea297cdbd10271152eeb72ef4f707092aa84 Mon Sep 17 00:00:00 2001 From: James Murdza Date: Wed, 27 Aug 2025 21:21:39 -0400 Subject: [PATCH 092/103] Extend CLI Reference --- .../docs/libraries/lume/cli-reference.mdx | 173 ++++++++++++++++++ 1 file changed, 173 insertions(+) diff --git a/docs/content/docs/libraries/lume/cli-reference.mdx b/docs/content/docs/libraries/lume/cli-reference.mdx index 8c4b2c61..f532c1a1 100644 --- a/docs/content/docs/libraries/lume/cli-reference.mdx +++ b/docs/content/docs/libraries/lume/cli-reference.mdx @@ -34,3 +34,176 @@ lume create my-linux-vm --os linux --cpu 2 --memory 4GB The actual disk space used by sparse images will be much lower than the logical size listed. You can resize VM disks after creation using `lume set --disk-size `. + +## VM Management + + lume create <name> +Create a new macOS or Linux virtual machine. + +**Options:** +- `--os ` - Operating system to install (macOS or linux, default: macOS) +- `--cpu ` - Number of CPU cores (default: 4) +- `--memory ` - Memory size, e.g., 8GB (default: 4GB) +- `--disk-size ` - Disk size, e.g., 50GB (default: 40GB) +- `--display ` - Display resolution (default: 1024x768) +- `--ipsw ` - Path to IPSW file or 'latest' for macOS VMs +- `--storage ` - VM storage location to use + +**Examples:** +```bash +# Create macOS VM with custom specs +lume create my-mac --cpu 6 --memory 16GB --disk-size 100GB + +# Create Linux VM +lume create my-ubuntu --os linux --cpu 2 --memory 8GB + +# Create macOS VM with latest IPSW +lume create my-sequoia --ipsw latest +``` + + lume run <name> +Start and run a virtual machine. + +**Options:** +- `--no-display` - Do not start the VNC client app +- `--shared-dir

      ` - Share directory with VM (format: path[:ro|rw]) +- `--mount ` - For Linux VMs only, attach a read-only disk image +- `--registry ` - Container registry URL (default: ghcr.io) +- `--organization ` - Organization to pull from (default: trycua) +- `--vnc-port ` - Port to use for the VNC server (default: 0 for auto-assign) +- `--recovery-mode ` - For macOS VMs only, start VM in recovery mode (default: false) +- `--storage ` - VM storage location to use + +**Examples:** +```bash +# Run VM with shared directory +lume run my-vm --shared-dir /path/to/share:rw + +# Run VM without display (headless) +lume run my-vm --no-display + +# Run macOS VM in recovery mode +lume run my-mac --recovery-mode true +``` + + lume stop <name> +Stop a running virtual machine. + +**Options:** +- `--storage ` - VM storage location to use + +### lume delete <name> +Delete a virtual machine and its associated files. + +**Options:** +- `--force` - Force deletion without confirmation +- `--storage ` - VM storage location to use + +### lume clone <name> <new-name> +Create a copy of an existing virtual machine. + +**Options:** +- `--source-storage ` - Source VM storage location +- `--dest-storage ` - Destination VM storage location + +## VM Information and Configuration + +### lume ls +List all virtual machines and their status. + +### lume get <name> +Get detailed information about a specific virtual machine. + +**Options:** +- `-f, --format ` - Output format (json|text) +- `--storage ` - VM storage location to use + +### lume set <name> +Modify virtual machine configuration. + +**Options:** +- `--cpu ` - New number of CPU cores (e.g., 4) +- `--memory ` - New memory size (e.g., 8192MB or 8GB) +- `--disk-size ` - New disk size (e.g., 40960MB or 40GB) +- `--display ` - New display resolution in format WIDTHxHEIGHT (e.g., 1024x768) +- `--storage ` - VM storage location to use + +**Examples:** +```bash +# Increase VM memory +lume set my-vm --memory 16GB + +# Change display resolution +lume set my-vm --display 1920x1080 + +# Add more CPU cores +lume set my-vm --cpu 8 +``` + +## Image Management + +### lume images +List available macOS images in local cache. + +### lume pull <image> +Download a VM image from a container registry. + +**Options:** +- `--registry ` - Container registry URL (default: ghcr.io) +- `--organization ` - Organization to pull from (default: trycua) +- `--storage ` - VM storage location to use + +### lume push <name> <image:tag> +Upload a VM image to a container registry. + +**Options:** +- `--additional-tags ` - Additional tags to push the same image to +- `--registry ` - Container registry URL (default: ghcr.io) +- `--organization ` - Organization/user to push to (default: trycua) +- `--storage ` - VM storage location to use +- `--chunk-size-mb ` - Chunk size for disk image upload in MB (default: 512) +- `--verbose` - Enable verbose logging +- `--dry-run` - Prepare files and show plan without uploading +- `--reassemble` - Verify integrity by reassembling chunks (requires --dry-run) + +### lume ipsw +Get the latest macOS restore image URL. + +### lume prune +Remove cached images to free up disk space. + +## Configuration + +### lume config +Manage Lume configuration settings. + +**Subcommands:** + +##### Storage Management +- `lume config storage add ` - Add a new VM storage location +- `lume config storage remove ` - Remove a VM storage location +- `lume config storage list` - List all VM storage locations +- `lume config storage default ` - Set the default VM storage location + +##### Cache Management +- `lume config cache get` - Get current cache directory +- `lume config cache set ` - Set cache directory + +##### Image Caching +- `lume config caching get` - Show current caching status +- `lume config caching set ` - Enable or disable image caching + +## API Server + +### lume serve +Start the Lume API server for programmatic access. + +**Options:** +- `--port ` - Port to listen on (default: 7777) + +## Global Options + +These options are available for all commands: + +- `--help` - Show help information +- `--version` - Show version number \ No newline at end of file From 667f35a3139da8ce426eb8bf8a0df7dde2044675 Mon Sep 17 00:00:00 2001 From: James Murdza Date: Wed, 27 Aug 2025 21:27:35 -0400 Subject: [PATCH 093/103] Add prebuilt images page --- .../docs/libraries/lume/cli-reference.mdx | 2 +- docs/content/docs/libraries/lume/meta.json | 3 ++- .../docs/libraries/lume/prebuilt-images.mdx | 20 +++++++++++++++++++ 3 files changed, 23 insertions(+), 2 deletions(-) create mode 100644 docs/content/docs/libraries/lume/prebuilt-images.mdx diff --git a/docs/content/docs/libraries/lume/cli-reference.mdx b/docs/content/docs/libraries/lume/cli-reference.mdx index f532c1a1..5afcc7fe 100644 --- a/docs/content/docs/libraries/lume/cli-reference.mdx +++ b/docs/content/docs/libraries/lume/cli-reference.mdx @@ -18,7 +18,7 @@ lume run ubuntu-noble-vanilla:latest ``` -We provide prebuilt VM images in our [ghcr registry](https://github.com/orgs/trycua/packages). +We provide [prebuilt VM images](../lume/prebuilt-images) in our [ghcr registry](https://github.com/orgs/trycua/packages). ### Create a Custom VM diff --git a/docs/content/docs/libraries/lume/meta.json b/docs/content/docs/libraries/lume/meta.json index dbca49ea..3b274f24 100644 --- a/docs/content/docs/libraries/lume/meta.json +++ b/docs/content/docs/libraries/lume/meta.json @@ -1,7 +1,8 @@ { "pages": [ "installation", - "cli-reference", + "prebuilt-images", + "cli-reference", "http-api" ] } diff --git a/docs/content/docs/libraries/lume/prebuilt-images.mdx b/docs/content/docs/libraries/lume/prebuilt-images.mdx new file mode 100644 index 00000000..0120af43 --- /dev/null +++ b/docs/content/docs/libraries/lume/prebuilt-images.mdx @@ -0,0 +1,20 @@ +--- +title: Prebuilt Images +--- + +Pre-built images are available in the registry [ghcr.io/trycua](https://github.com/orgs/trycua/packages). + +**Important Note (v0.2.0+):** Images are being re-uploaded with sparse file system optimizations enabled, resulting in significantly lower actual disk usage. Older images (without the `-sparse` suffix) are now **deprecated**. The last version of `lume` fully supporting the non-sparse images was `v0.1.x`. Starting from `v0.2.0`, lume will automatically pull images optimized with sparse file system support. + +These images come with an SSH server pre-configured and auto-login enabled. + +For the security of your VM, change the default password `lume` immediately after your first login. + +| Image | Tag | Description | Logical Size | +|-------|------------|-------------|------| +| `macos-sequoia-vanilla` | `latest`, `15.2` | macOS Sequoia 15.2 image | 20GB | +| `macos-sequoia-xcode` | `latest`, `15.2` | macOS Sequoia 15.2 image with Xcode command line tools | 22GB | +| `macos-sequoia-cua` | `latest`, `15.3` | macOS Sequoia 15.3 image compatible with the Computer interface | 24GB | +| `ubuntu-noble-vanilla` | `latest`, `24.04.1` | [Ubuntu Server for ARM 24.04.1 LTS](https://ubuntu.com/download/server/arm) with Ubuntu Desktop | 20GB | + +For additional disk space, resize the VM disk after pulling the image using the `lume set --disk-size ` command. Note that the actual disk space used by sparse images will be much lower than the logical size listed. \ No newline at end of file From 1cb2dec27b5da8c0d61a12baae6997dbe9cfa50c Mon Sep 17 00:00:00 2001 From: James Murdza Date: Wed, 27 Aug 2025 21:33:35 -0400 Subject: [PATCH 094/103] Add FAQ to Lume docs --- docs/content/docs/libraries/lume/faq.md | 116 +++++++++++++++++++++ docs/content/docs/libraries/lume/meta.json | 3 +- 2 files changed, 118 insertions(+), 1 deletion(-) create mode 100644 docs/content/docs/libraries/lume/faq.md diff --git a/docs/content/docs/libraries/lume/faq.md b/docs/content/docs/libraries/lume/faq.md new file mode 100644 index 00000000..98d6b766 --- /dev/null +++ b/docs/content/docs/libraries/lume/faq.md @@ -0,0 +1,116 @@ +--- +title: FAQ +--- + +### Where are the VMs stored? + +VMs are stored in `~/.lume` by default. You can configure additional storage locations using the `lume config` command. + +### How are images cached? + +Images are cached in `~/.lume/cache`. When doing `lume pull `, it will check if the image is already cached. If not, it will download the image and cache it, removing any older versions. + +### Where is the configuration file stored? + +Lume follows the XDG Base Directory specification for the configuration file: + +- Configuration is stored in `$XDG_CONFIG_HOME/lume/config.yaml` (defaults to `~/.config/lume/config.yaml`) + +By default, other data is stored in: +- VM data: `~/.lume` +- Cache files: `~/.lume/cache` + +The config file contains settings for: +- VM storage locations and the default location +- Cache directory location +- Whether caching is enabled + +You can view and modify these settings using the `lume config` commands: + +```bash +# View current configuration +lume config get + +# Manage VM storage locations +lume config storage list # List all VM storage locations +lume config storage add # Add a new VM storage location +lume config storage remove # Remove a VM storage location +lume config storage default # Set the default VM storage location + +# Manage cache settings +lume config cache get # Get current cache directory +lume config cache set # Set cache directory + +# Manage image caching settings +lume config caching get # Show current caching status +lume config caching set # Enable or disable image caching +``` + +### How do I use multiple VM storage locations? + +Lume supports storing VMs in different locations (e.g., internal drive, external SSD). After configuring storage locations, you can specify which location to use with the `--storage` parameter in various commands: + +```bash +# Create a VM in a specific storage location +lume create my-vm --os macos --ipsw latest --storage ssd + +# Run a VM from a specific storage location +lume run my-vm --storage ssd + +# Delete a VM from a specific storage location +lume delete my-vm --storage ssd + +# Pull an image to a specific storage location +lume pull macos-sequoia-vanilla:latest --name my-vm --storage ssd + +# Clone a VM between storage locations +lume clone source-vm cloned-vm --source-storage default --dest-storage ssd +``` + +If you don't specify a storage location, Lume will use the default one or search across all configured locations. + +### Are VM disks taking up all the disk space? + +No, macOS uses sparse files, which only allocate space as needed. For example, VM disks totaling 50 GB may only use 20 GB on disk. + +### How do I get the latest macOS restore image URL? + +```bash +lume ipsw +``` + +### How do I delete a VM? + +```bash +lume delete +``` + +### How to Install macOS from an IPSW Image + +#### Create a new macOS VM using the latest supported IPSW image: +Run the following command to create a new macOS virtual machine using the latest available IPSW image: + +```bash +lume create --os macos --ipsw latest +``` + +#### Create a new macOS VM using a specific IPSW image: +To create a macOS virtual machine from an older or specific IPSW file, first download the desired IPSW (UniversalMac) from a trusted source. + +Then, use the downloaded IPSW path: + +```bash +lume create --os macos --ipsw +``` + +### How do I install a custom Linux image? + +The process for creating a custom Linux image differs than macOS, with IPSW restore files not being used. You need to create a linux VM first, then mount a setup image file to the VM for the first boot. + +```bash +lume create --os linux + +lume run --mount + +lume run +``` diff --git a/docs/content/docs/libraries/lume/meta.json b/docs/content/docs/libraries/lume/meta.json index 3b274f24..5f4d907a 100644 --- a/docs/content/docs/libraries/lume/meta.json +++ b/docs/content/docs/libraries/lume/meta.json @@ -3,6 +3,7 @@ "installation", "prebuilt-images", "cli-reference", - "http-api" + "http-api", + "faq" ] } From d2500a2c47be67d5390f7f9f02ab4b7bf22cfec9 Mon Sep 17 00:00:00 2001 From: James Murdza Date: Wed, 27 Aug 2025 21:39:37 -0400 Subject: [PATCH 095/103] Replace text in READMEs with links to Cua documentations --- libs/lume/{docs => }/Development.md | 8 + libs/lume/README.md | 172 ++----------- libs/lume/docs/API-Reference.md | 387 ---------------------------- libs/lume/docs/FAQ.md | 114 -------- 4 files changed, 28 insertions(+), 653 deletions(-) rename libs/lume/{docs => }/Development.md (76%) delete mode 100644 libs/lume/docs/API-Reference.md delete mode 100644 libs/lume/docs/FAQ.md diff --git a/libs/lume/docs/Development.md b/libs/lume/Development.md similarity index 76% rename from libs/lume/docs/Development.md rename to libs/lume/Development.md index cbaa4df5..0ddf8c5e 100644 --- a/libs/lume/docs/Development.md +++ b/libs/lume/Development.md @@ -10,6 +10,14 @@ Lume development requires: - macOS Sequoia 15.2 or higher - (Optional) VS Code with Swift extension +If you're working on Lume in the context of the Cua monorepo, we recommend using the dedicated VS Code workspace configuration: + +```bash +# Open VS Code workspace from the root of the monorepo +code .vscode/lume.code-workspace +``` +This workspace is preconfigured with Swift language support, build tasks, and debug configurations. + ## Setting Up the Repository Locally 1. **Fork the Repository**: Create your own fork of lume diff --git a/libs/lume/README.md b/libs/lume/README.md index ac4257e0..c90c250a 100644 --- a/libs/lume/README.md +++ b/libs/lume/README.md @@ -23,174 +23,42 @@ lume cli - ```bash lume run macos-sequoia-vanilla:latest ``` -## Development Environment +## Quickstart -If you're working on Lume in the context of the CUA monorepo, we recommend using the dedicated VS Code workspace configuration: - -```bash -# Open VS Code workspace from the root of the monorepo -code .vscode/lume.code-workspace -``` -This workspace is preconfigured with Swift language support, build tasks, and debug configurations. - -## Usage - -```bash -lume - -Commands: - lume create Create a new macOS or Linux VM - lume run Run a VM - lume ls List all VMs - lume get Get detailed information about a VM - lume set Modify VM configuration - lume stop Stop a running VM - lume delete Delete a VM - lume pull Pull a macOS image from container registry - lume push Push a VM image to a container registry - lume clone Clone an existing VM - lume config Get or set lume configuration - lume images List available macOS images in local cache - lume ipsw Get the latest macOS restore image URL - lume prune Remove cached images - lume serve Start the API server - -Options: - --help Show help [boolean] - --version Show version number [boolean] - -Command Options: - create: - --os Operating system to install (macOS or linux, default: macOS) - --cpu Number of CPU cores (default: 4) - --memory Memory size, e.g., 8GB (default: 4GB) - --disk-size Disk size, e.g., 50GB (default: 40GB) - --display Display resolution (default: 1024x768) - --ipsw Path to IPSW file or 'latest' for macOS VMs - --storage VM storage location to use - - run: - --no-display Do not start the VNC client app - --shared-dir Share directory with VM (format: path[:ro|rw]) - --mount For Linux VMs only, attach a read-only disk image - --registry Container registry URL (default: ghcr.io) - --organization Organization to pull from (default: trycua) - --vnc-port Port to use for the VNC server (default: 0 for auto-assign) - --recovery-mode For MacOS VMs only, start VM in recovery mode (default: false) - --storage VM storage location to use - - set: - --cpu New number of CPU cores (e.g., 4) - --memory New memory size (e.g., 8192MB or 8GB) - --disk-size New disk size (e.g., 40960MB or 40GB) - --display New display resolution in format WIDTHxHEIGHT (e.g., 1024x768) - --storage VM storage location to use - - delete: - --force Force deletion without confirmation - --storage VM storage location to use - - pull: - --registry Container registry URL (default: ghcr.io) - --organization Organization to pull from (default: trycua) - --storage VM storage location to use - - push: - --additional-tags Additional tags to push the same image to - --registry Container registry URL (default: ghcr.io) - --organization Organization/user to push to (default: trycua) - --storage VM storage location to use - --chunk-size-mb Chunk size for disk image upload in MB (default: 512) - --verbose Enable verbose logging - --dry-run Prepare files and show plan without uploading - --reassemble Verify integrity by reassembling chunks (requires --dry-run) - - get: - -f, --format Output format (json|text) - --storage VM storage location to use - - stop: - --storage VM storage location to use - - clone: - --source-storage Source VM storage location - --dest-storage Destination VM storage location - - config: - get Get current configuration - storage Manage VM storage locations - add Add a new VM storage location - remove Remove a VM storage location - list List all VM storage locations - default Set the default VM storage location - cache Manage cache settings - get Get current cache directory - set Set cache directory - caching Manage image caching settings - get Show current caching status - set Enable or disable image caching - - serve: - --port Port to listen on (default: 7777) -``` - -## Install - -Install with a single command: +Install and run a prebuilt macOS VM in two commands: ```bash +# Install Lume /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/trycua/cua/main/libs/lume/scripts/install.sh)" +# Pull & start a macOS image +lume run macos-sequoia-vanilla:latest ``` -By default, Lume is installed as a background service that starts automatically on login. If you prefer to start the Lume API service manually when needed, you can use the `--no-background-service` option: + +All prebuilt images use the default password `lume`. Change this immediately after your first login using the `passwd` command. + -```bash -/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/trycua/cua/main/libs/lume/scripts/install.sh) --no-background-service" -``` +**System Requirements**: +- Apple Silicon Mac (M1, M2, M3, etc.) +- macOS 13.0 or later +- At least 8GB of RAM (16GB recommended) +- At least 50GB of free disk space -**Note:** With this option, you'll need to manually start the Lume API service by running `lume serve` in your terminal whenever you need to use tools or libraries that rely on the Lume API (such as the Computer-Use Agent). +## Development -You can also download the `lume.pkg.tar.gz` archive from the [latest release](https://github.com/trycua/lume/releases), extract it, and install the package manually. - -## Prebuilt Images - -Pre-built images are available in the registry [ghcr.io/trycua](https://github.com/orgs/trycua/packages). - -**Important Note (v0.2.0+):** Images are being re-uploaded with sparse file system optimizations enabled, resulting in significantly lower actual disk usage. Older images (without the `-sparse` suffix) are now **deprecated**. The last version of `lume` fully supporting the non-sparse images was `v0.1.x`. Starting from `v0.2.0`, lume will automatically pull images optimized with sparse file system support. - -These images come with an SSH server pre-configured and auto-login enabled. - -For the security of your VM, change the default password `lume` immediately after your first login. - -| Image | Tag | Description | Logical Size | -|-------|------------|-------------|------| -| `macos-sequoia-vanilla` | `latest`, `15.2` | macOS Sequoia 15.2 image | 20GB | -| `macos-sequoia-xcode` | `latest`, `15.2` | macOS Sequoia 15.2 image with Xcode command line tools | 22GB | -| `macos-sequoia-cua` | `latest`, `15.3` | macOS Sequoia 15.3 image compatible with the Computer interface | 24GB | -| `ubuntu-noble-vanilla` | `latest`, `24.04.1` | [Ubuntu Server for ARM 24.04.1 LTS](https://ubuntu.com/download/server/arm) with Ubuntu Desktop | 20GB | - -For additional disk space, resize the VM disk after pulling the image using the `lume set --disk-size ` command. Note that the actual disk space used by sparse images will be much lower than the logical size listed. - -## Local API Server - -`lume` exposes a local HTTP API server that listens on `http://localhost:7777/lume`, enabling automated management of VMs. - -```bash -lume serve -``` - -For detailed API documentation, please refer to [API Reference](docs/API-Reference.md). +To get set up with Lume for development, read [these instructions](Development.md). ## Docs -- [API Reference](docs/API-Reference.md) -- [Development](docs/Development.md) -- [FAQ](docs/FAQ.md) +- [Installation](https://trycua.com/docs/libraries/lume/installation) +- [Prebuilt Images](https://trycua.com/docs/libraries/lume/prebuilt-images) +- [CLI Reference](https://trycua.com/docs/libraries/lume/cli-reference) +- [HTTP API](https://trycua.com/docs/libraries/lume/http-api) +- [FAQ](https://trycua.com/docs/libraries/lume/faq) ## Contributing diff --git a/libs/lume/docs/API-Reference.md b/libs/lume/docs/API-Reference.md deleted file mode 100644 index 5af09cdf..00000000 --- a/libs/lume/docs/API-Reference.md +++ /dev/null @@ -1,387 +0,0 @@ -## API Reference - -
      -Create VM - POST /vms - -```bash -curl --connect-timeout 6000 \ - --max-time 5000 \ - -X POST \ - -H "Content-Type: application/json" \ - -d '{ - "name": "lume_vm", - "os": "macOS", - "cpu": 2, - "memory": "4GB", - "diskSize": "64GB", - "display": "1024x768", - "ipsw": "latest", - "storage": "ssd" - }' \ - http://localhost:7777/lume/vms -``` -
      - -
      -Run VM - POST /vms/:name/run - -```bash -# Basic run -curl --connect-timeout 6000 \ - --max-time 5000 \ - -X POST \ - http://localhost:7777/lume/vms/my-vm-name/run - -# Run with VNC client started and shared directory -curl --connect-timeout 6000 \ - --max-time 5000 \ - -X POST \ - -H "Content-Type: application/json" \ - -d '{ - "noDisplay": false, - "sharedDirectories": [ - { - "hostPath": "~/Projects", - "readOnly": false - } - ], - "recoveryMode": false, - "storage": "ssd" - }' \ - http://localhost:7777/lume/vms/lume_vm/run -``` -
      - -
      -List VMs - GET /vms - -```bash -curl --connect-timeout 6000 \ - --max-time 5000 \ - http://localhost:7777/lume/vms -``` -``` -[ - { - "name": "my-vm", - "state": "stopped", - "os": "macOS", - "cpu": 2, - "memory": "4GB", - "diskSize": "64GB" - }, - { - "name": "my-vm-2", - "state": "stopped", - "os": "linux", - "cpu": 2, - "memory": "4GB", - "diskSize": "64GB" - } -] -``` -
      - -
      -Get VM Details - GET /vms/:name - -```bash -# Basic get -curl --connect-timeout 6000 \ - --max-time 5000 \ - http://localhost:7777/lume/vms/lume_vm - -# Get with storage location specified -curl --connect-timeout 6000 \ - --max-time 5000 \ - http://localhost:7777/lume/vms/lume_vm?storage=ssd -``` -``` -{ - "name": "lume_vm", - "state": "running", - "os": "macOS", - "cpu": 2, - "memory": "4GB", - "diskSize": "64GB" -} -``` -
      - -
      -Update VM Settings - PATCH /vms/:name - -```bash -curl --connect-timeout 6000 \ - --max-time 5000 \ - -X PATCH \ - -H "Content-Type: application/json" \ - -d '{ - "cpu": 4, - "memory": "8GB", - "diskSize": "128GB", - "storage": "ssd" - }' \ - http://localhost:7777/lume/vms/my-vm-name -``` -
      - -
      -Stop VM - POST /vms/:name/stop - -```bash -# Basic stop -curl --connect-timeout 6000 \ - --max-time 5000 \ - -X POST \ - http://localhost:7777/lume/vms/my-vm-name/stop - -# Stop with storage location specified -curl --connect-timeout 6000 \ - --max-time 5000 \ - -X POST \ - http://localhost:7777/lume/vms/my-vm-name/stop?storage=ssd -``` -
      - -
      -Delete VM - DELETE /vms/:name - -```bash -# Basic delete -curl --connect-timeout 6000 \ - --max-time 5000 \ - -X DELETE \ - http://localhost:7777/lume/vms/my-vm-name - -# Delete with storage location specified -curl --connect-timeout 6000 \ - --max-time 5000 \ - -X DELETE \ - http://localhost:7777/lume/vms/my-vm-name?storage=ssd -``` -
      - -
      -Pull Image - POST /pull - -```bash -curl --connect-timeout 6000 \ - --max-time 5000 \ - -X POST \ - -H "Content-Type: application/json" \ - -d '{ - "image": "macos-sequoia-vanilla:latest", - "name": "my-vm-name", - "registry": "ghcr.io", - "organization": "trycua", - "storage": "ssd" - }' \ - http://localhost:7777/lume/pull -``` - -```bash -curl --connect-timeout 6000 \ - --max-time 5000 \ - -X POST \ - -H "Content-Type: application/json" \ - -d '{ - "image": "macos-sequoia-vanilla:15.2", - "name": "macos-sequoia-vanilla" - }' \ - http://localhost:7777/lume/pull -``` -
      - -
      -Push Image (Async) - POST /vms/push - -```bash -# Push VM 'my-local-vm' to 'my-org/my-image:latest' and 'my-org/my-image:v1' -curl --connect-timeout 6000 \ - --max-time 5000 \ - -X POST \ - -H "Content-Type: application/json" \ - -d '{ - "name": "my-local-vm", - "imageName": "my-image", - "tags": ["latest", "v1"], - "organization": "my-org", - "registry": "ghcr.io", - "chunkSizeMb": 512, - "storage": null - }' \ - http://localhost:7777/lume/vms/push -``` - -**Response (202 Accepted):** - -```json -{ - "message": "Push initiated in background", - "name": "my-local-vm", - "imageName": "my-image", - "tags": [ - "latest", - "v1" - ] -} -``` -
      - -
      -Clone VM - POST /vms/:name/clone - -```bash -curl --connect-timeout 6000 \ - --max-time 5000 \ - -X POST \ - -H "Content-Type: application/json" \ - -d '{ - "name": "source-vm", - "newName": "cloned-vm", - "sourceLocation": "default", - "destLocation": "ssd" - }' \ - http://localhost:7777/lume/vms/clone -``` -
      - -
      -Get Latest IPSW URL - GET /ipsw - -```bash -curl --connect-timeout 6000 \ - --max-time 5000 \ - http://localhost:7777/lume/ipsw -``` -
      - -
      -List Images - GET /images - -```bash -# List images with default organization (trycua) -curl --connect-timeout 6000 \ - --max-time 5000 \ - http://localhost:7777/lume/images -``` - -```json -{ - "local": [ - "macos-sequoia-xcode:latest", - "macos-sequoia-vanilla:latest" - ] -} -``` -
      - -
      -Prune Images - POST /lume/prune - -```bash -curl --connect-timeout 6000 \ - --max-time 5000 \ - -X POST \ - http://localhost:7777/lume/prune -``` -
      - -
      -Get Configuration - GET /lume/config - -```bash -curl --connect-timeout 6000 \ - --max-time 5000 \ - http://localhost:7777/lume/config -``` - -```json -{ - "homeDirectory": "~/.lume", - "cacheDirectory": "~/.lume/cache", - "cachingEnabled": true -} -``` -
      - -
      -Update Configuration - POST /lume/config - -```bash -curl --connect-timeout 6000 \ - --max-time 5000 \ - -X POST \ - -H "Content-Type: application/json" \ - -d '{ - "homeDirectory": "~/custom/lume", - "cacheDirectory": "~/custom/lume/cache", - "cachingEnabled": true - }' \ - http://localhost:7777/lume/config -``` -
      - -
      -Get VM Storage Locations - GET /lume/config/locations - -```bash -curl --connect-timeout 6000 \ - --max-time 5000 \ - http://localhost:7777/lume/config/locations -``` - -```json -[ - { - "name": "default", - "path": "~/.lume/vms", - "isDefault": true - }, - { - "name": "ssd", - "path": "/Volumes/SSD/lume/vms", - "isDefault": false - } -] -``` -
      - -
      -Add VM Storage Location - POST /lume/config/locations - -```bash -curl --connect-timeout 6000 \ - --max-time 5000 \ - -X POST \ - -H "Content-Type: application/json" \ - -d '{ - "name": "ssd", - "path": "/Volumes/SSD/lume/vms" - }' \ - http://localhost:7777/lume/config/locations -``` -
      - -
      -Remove VM Storage Location - DELETE /lume/config/locations/:name - -```bash -curl --connect-timeout 6000 \ - --max-time 5000 \ - -X DELETE \ - http://localhost:7777/lume/config/locations/ssd -``` -
      - -
      -Set Default VM Storage Location - POST /lume/config/locations/default/:name - -```bash -curl --connect-timeout 6000 \ - --max-time 5000 \ - -X POST \ - http://localhost:7777/lume/config/locations/default/ssd -``` -
      diff --git a/libs/lume/docs/FAQ.md b/libs/lume/docs/FAQ.md deleted file mode 100644 index 21d0d287..00000000 --- a/libs/lume/docs/FAQ.md +++ /dev/null @@ -1,114 +0,0 @@ -# FAQs - -### Where are the VMs stored? - -VMs are stored in `~/.lume` by default. You can configure additional storage locations using the `lume config` command. - -### How are images cached? - -Images are cached in `~/.lume/cache`. When doing `lume pull `, it will check if the image is already cached. If not, it will download the image and cache it, removing any older versions. - -### Where is the configuration file stored? - -Lume follows the XDG Base Directory specification for the configuration file: - -- Configuration is stored in `$XDG_CONFIG_HOME/lume/config.yaml` (defaults to `~/.config/lume/config.yaml`) - -By default, other data is stored in: -- VM data: `~/.lume` -- Cache files: `~/.lume/cache` - -The config file contains settings for: -- VM storage locations and the default location -- Cache directory location -- Whether caching is enabled - -You can view and modify these settings using the `lume config` commands: - -```bash -# View current configuration -lume config get - -# Manage VM storage locations -lume config storage list # List all VM storage locations -lume config storage add # Add a new VM storage location -lume config storage remove # Remove a VM storage location -lume config storage default # Set the default VM storage location - -# Manage cache settings -lume config cache get # Get current cache directory -lume config cache set # Set cache directory - -# Manage image caching settings -lume config caching get # Show current caching status -lume config caching set # Enable or disable image caching -``` - -### How do I use multiple VM storage locations? - -Lume supports storing VMs in different locations (e.g., internal drive, external SSD). After configuring storage locations, you can specify which location to use with the `--storage` parameter in various commands: - -```bash -# Create a VM in a specific storage location -lume create my-vm --os macos --ipsw latest --storage ssd - -# Run a VM from a specific storage location -lume run my-vm --storage ssd - -# Delete a VM from a specific storage location -lume delete my-vm --storage ssd - -# Pull an image to a specific storage location -lume pull macos-sequoia-vanilla:latest --name my-vm --storage ssd - -# Clone a VM between storage locations -lume clone source-vm cloned-vm --source-storage default --dest-storage ssd -``` - -If you don't specify a storage location, Lume will use the default one or search across all configured locations. - -### Are VM disks taking up all the disk space? - -No, macOS uses sparse files, which only allocate space as needed. For example, VM disks totaling 50 GB may only use 20 GB on disk. - -### How do I get the latest macOS restore image URL? - -```bash -lume ipsw -``` - -### How do I delete a VM? - -```bash -lume delete -``` - -### How to Install macOS from an IPSW Image - -#### Create a new macOS VM using the latest supported IPSW image: -Run the following command to create a new macOS virtual machine using the latest available IPSW image: - -```bash -lume create --os macos --ipsw latest -``` - -#### Create a new macOS VM using a specific IPSW image: -To create a macOS virtual machine from an older or specific IPSW file, first download the desired IPSW (UniversalMac) from a trusted source. - -Then, use the downloaded IPSW path: - -```bash -lume create --os macos --ipsw -``` - -### How do I install a custom Linux image? - -The process for creating a custom Linux image differs than macOS, with IPSW restore files not being used. You need to create a linux VM first, then mount a setup image file to the VM for the first boot. - -```bash -lume create --os linux - -lume run --mount - -lume run -``` From 13773c4af0c4589fcd726765c3c02d9af30d02eb Mon Sep 17 00:00:00 2001 From: James Murdza Date: Thu, 28 Aug 2025 04:53:46 -0400 Subject: [PATCH 096/103] Split Lumier section into pages --- docs/content/docs/libraries/lumier/docker.mdx | 52 +++++++++++++++ docs/content/docs/libraries/lumier/index.mdx | 66 ++----------------- .../docs/libraries/lumier/installation.mdx | 7 ++ docs/content/docs/libraries/lumier/meta.json | 7 ++ 4 files changed, 71 insertions(+), 61 deletions(-) create mode 100644 docs/content/docs/libraries/lumier/docker.mdx create mode 100644 docs/content/docs/libraries/lumier/installation.mdx create mode 100644 docs/content/docs/libraries/lumier/meta.json diff --git a/docs/content/docs/libraries/lumier/docker.mdx b/docs/content/docs/libraries/lumier/docker.mdx new file mode 100644 index 00000000..3038f1c9 --- /dev/null +++ b/docs/content/docs/libraries/lumier/docker.mdx @@ -0,0 +1,52 @@ +--- +title: Docker +--- + +You can use Lumier through Docker: + +### Run a macOS VM (ephemeral) +```bash +docker run -it --rm \ + --name macos-vm \ + -p 8006:8006 \ + -e VM_NAME=macos-vm \ + -e VERSION=ghcr.io/trycua/macos-sequoia-cua:latest \ + -e CPU_CORES=4 \ + -e RAM_SIZE=8192 \ + trycua/lumier:latest +``` +Access the VM in your browser at [http://localhost:8006](http://localhost:8006). + +### Persistent Storage +```bash +mkdir -p storage + +docker run -it --rm \ + --name lumier-vm \ + -p 8006:8006 \ + -v $(pwd)/storage:/storage \ + -e VM_NAME=lumier-vm \ + -e VERSION=ghcr.io/trycua/macos-sequoia-cua:latest \ + -e CPU_CORES=4 \ + -e RAM_SIZE=8192 \ + -e HOST_STORAGE_PATH=$(pwd)/storage \ + trycua/lumier:latest +``` + +### Shared Folder +```bash +mkdir -p shared + +docker run -it --rm \ + --name lumier-vm \ + -p 8006:8006 \ + -v $(pwd)/storage:/storage \ + -v $(pwd)/shared:/shared \ + -e VM_NAME=lumier-vm \ + -e VERSION=ghcr.io/trycua/macos-sequoia-cua:latest \ + -e CPU_CORES=4 \ + -e RAM_SIZE=8192 \ + -e HOST_STORAGE_PATH=$(pwd)/storage \ + -e HOST_SHARED_PATH=$(pwd)/shared \ + trycua/lumier:latest +``` \ No newline at end of file diff --git a/docs/content/docs/libraries/lumier/index.mdx b/docs/content/docs/libraries/lumier/index.mdx index 3858504d..55e113e9 100644 --- a/docs/content/docs/libraries/lumier/index.mdx +++ b/docs/content/docs/libraries/lumier/index.mdx @@ -5,65 +5,9 @@ github: - https://github.com/trycua/cua/tree/main/libs/lumier --- -## Overview +**Lumier** is an interface for running macOS virtual machines with minimal setup. It uses Docker as a packaging system to deliver a pre-configured environment that connects to the `lume` virtualization service running on your host machine. With Lumier, you get: -The Lumier library provides a Docker-based interface for creating performant macOS virtual machines. - -## Installation - -**Requirements:** -- Docker for Apple Silicon (or compatible Mac) -- Lume virtualization CLI (install with: `/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/trycua/cua/main/libs/lume/scripts/install.sh)"`) - -## Usage - -### Run a macOS VM (ephemeral) -```bash -docker run -it --rm \ - --name macos-vm \ - -p 8006:8006 \ - -e VM_NAME=macos-vm \ - -e VERSION=ghcr.io/trycua/macos-sequoia-cua:latest \ - -e CPU_CORES=4 \ - -e RAM_SIZE=8192 \ - trycua/lumier:latest -``` -Access the VM in your browser at [http://localhost:8006](http://localhost:8006). - -### Persistent Storage -```bash -mkdir -p storage - -docker run -it --rm \ - --name lumier-vm \ - -p 8006:8006 \ - -v $(pwd)/storage:/storage \ - -e VM_NAME=lumier-vm \ - -e VERSION=ghcr.io/trycua/macos-sequoia-cua:latest \ - -e CPU_CORES=4 \ - -e RAM_SIZE=8192 \ - -e HOST_STORAGE_PATH=$(pwd)/storage \ - trycua/lumier:latest -``` - -### Shared Folder -```bash -mkdir -p shared - -docker run -it --rm \ - --name lumier-vm \ - -p 8006:8006 \ - -v $(pwd)/storage:/storage \ - -v $(pwd)/shared:/shared \ - -e VM_NAME=lumier-vm \ - -e VERSION=ghcr.io/trycua/macos-sequoia-cua:latest \ - -e CPU_CORES=4 \ - -e RAM_SIZE=8192 \ - -e HOST_STORAGE_PATH=$(pwd)/storage \ - -e HOST_SHARED_PATH=$(pwd)/shared \ - trycua/lumier:latest -``` - ---- - -See the [Lumier README](https://github.com/trycua/cua/tree/main/libs/lumier) for advanced options, Docker Compose setup, and automation scripts. \ No newline at end of file +- A ready-to-use macOS or Linux virtual machine in minutes +- Browser-based VNC access to your VM +- Easy file sharing between your host and VM +- Simple configuration through environment variables \ No newline at end of file diff --git a/docs/content/docs/libraries/lumier/installation.mdx b/docs/content/docs/libraries/lumier/installation.mdx new file mode 100644 index 00000000..63db702a --- /dev/null +++ b/docs/content/docs/libraries/lumier/installation.mdx @@ -0,0 +1,7 @@ +--- +title: Installation +--- + +**Requirements:** +- Docker for Apple Silicon (or compatible Mac) +- Lume virtualization CLI (install with: `/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/trycua/cua/main/libs/lume/scripts/install.sh)"`) \ No newline at end of file diff --git a/docs/content/docs/libraries/lumier/meta.json b/docs/content/docs/libraries/lumier/meta.json new file mode 100644 index 00000000..a24ac050 --- /dev/null +++ b/docs/content/docs/libraries/lumier/meta.json @@ -0,0 +1,7 @@ +{ + "pages": [ + "installation", + "docker", + "docker-compose" + ] +} From b724a136666c444c0754e1b5801c6745b9a740bf Mon Sep 17 00:00:00 2001 From: James Murdza Date: Thu, 28 Aug 2025 06:07:52 -0400 Subject: [PATCH 097/103] Move text from README to Cua documentation --- .../docs/libraries/lumier/building-lumier.mdx | 42 ++++ .../docs/libraries/lumier/docker-compose.mdx | 45 ++++ docs/content/docs/libraries/lumier/docker.mdx | 134 +++++++++--- docs/content/docs/libraries/lumier/index.mdx | 13 +- .../docs/libraries/lumier/installation.mdx | 13 +- docs/content/docs/libraries/lumier/meta.json | 3 +- libs/lumier/README.md | 202 +----------------- 7 files changed, 219 insertions(+), 233 deletions(-) create mode 100644 docs/content/docs/libraries/lumier/building-lumier.mdx create mode 100644 docs/content/docs/libraries/lumier/docker-compose.mdx diff --git a/docs/content/docs/libraries/lumier/building-lumier.mdx b/docs/content/docs/libraries/lumier/building-lumier.mdx new file mode 100644 index 00000000..df8ad4f8 --- /dev/null +++ b/docs/content/docs/libraries/lumier/building-lumier.mdx @@ -0,0 +1,42 @@ +--- +title: Building Lumier +--- + +If you want to customize the Lumier container or build it from source, you can follow these steps: + +```bash +# 1. Navigate to the Lumier directory +cd libs/lumier + +# 2. Build the Docker image locally +docker build -t lumier-custom:latest . + +# 3. Run your custom build +docker run -it --rm \ + --name lumier-vm \ + -p 8006:8006 \ + -e VM_NAME=lumier-vm \ + -e VERSION=ghcr.io/trycua/macos-sequoia-cua:latest \ + -e CPU_CORES=4 \ + -e RAM_SIZE=8192 \ + lumier-custom:latest +``` + +### Customization Options + +The Dockerfile provides several customization points: + +1. **Base image**: The container uses Debian Bullseye Slim as the base. You can modify this if needed. +2. **Installed packages**: You can add or remove packages in the apt-get install list. +3. **Hooks**: Check the `/run/hooks/` directory for scripts that run at specific points during VM lifecycle. +4. **Configuration**: Review `/run/config/constants.sh` for default settings. + +After making your modifications, you can build and push your custom image to your own Docker Hub repository: + +```bash +# Build with a custom tag +docker build -t yourusername/lumier:custom . + +# Push to Docker Hub (after docker login) +docker push yourusername/lumier:custom +``` \ No newline at end of file diff --git a/docs/content/docs/libraries/lumier/docker-compose.mdx b/docs/content/docs/libraries/lumier/docker-compose.mdx new file mode 100644 index 00000000..fece3473 --- /dev/null +++ b/docs/content/docs/libraries/lumier/docker-compose.mdx @@ -0,0 +1,45 @@ +--- +title: Docker Compose +--- + +You can also use Docker Compose to run Lumier with a simple configuration file. Create a `docker-compose.yml` file with the following content: + +```yaml +version: '3' + +services: + lumier: + image: trycua/lumier:latest + container_name: lumier-vm + restart: unless-stopped + ports: + - "8006:8006" # Port for VNC access + volumes: + - ./storage:/storage # VM persistent storage + - ./shared:/shared # Shared folder accessible in the VM + environment: + - VM_NAME=lumier-vm + - VERSION=ghcr.io/trycua/macos-sequoia-cua:latest + - CPU_CORES=4 + - RAM_SIZE=8192 + - HOST_STORAGE_PATH=${PWD}/storage + - HOST_SHARED_PATH=${PWD}/shared + stop_signal: SIGINT + stop_grace_period: 2m +``` + +Then run Lumier using: + +```bash +# First create the required directories +mkdir -p storage shared + +# Start the container +docker-compose up -d + +# View the logs +docker-compose logs -f + +# Stop the container when done +docker-compose down +``` diff --git a/docs/content/docs/libraries/lumier/docker.mdx b/docs/content/docs/libraries/lumier/docker.mdx index 3038f1c9..35ea859b 100644 --- a/docs/content/docs/libraries/lumier/docker.mdx +++ b/docs/content/docs/libraries/lumier/docker.mdx @@ -6,47 +6,117 @@ You can use Lumier through Docker: ### Run a macOS VM (ephemeral) ```bash +# Run the container with temporary storage (using pre-built image from Docker Hub) docker run -it --rm \ - --name macos-vm \ - -p 8006:8006 \ - -e VM_NAME=macos-vm \ - -e VERSION=ghcr.io/trycua/macos-sequoia-cua:latest \ - -e CPU_CORES=4 \ - -e RAM_SIZE=8192 \ - trycua/lumier:latest + --name macos-vm \ + -p 8006:8006 \ + -e VM_NAME=macos-vm \ + -e VERSION=ghcr.io/trycua/macos-sequoia-cua:latest \ + -e CPU_CORES=4 \ + -e RAM_SIZE=8192 \ + trycua/lumier:latest ``` Access the VM in your browser at [http://localhost:8006](http://localhost:8006). -### Persistent Storage +After running the command above, you can access your macOS VM through a web browser (e.g., http://localhost:8006). + +> **Note:** With the basic setup above, your VM will be reset when you stop the container (ephemeral mode). This means any changes you make inside the macOS VM will be lost. See the section below for how to save your VM state. + +## Saving Your VM State + +To save your VM state between sessions (so your changes persist when you stop and restart the container), you'll need to set up a storage location: + ```bash +# First, create a storage directory if it doesn't exist mkdir -p storage +# Then run the container with persistent storage docker run -it --rm \ - --name lumier-vm \ - -p 8006:8006 \ - -v $(pwd)/storage:/storage \ - -e VM_NAME=lumier-vm \ - -e VERSION=ghcr.io/trycua/macos-sequoia-cua:latest \ - -e CPU_CORES=4 \ - -e RAM_SIZE=8192 \ - -e HOST_STORAGE_PATH=$(pwd)/storage \ - trycua/lumier:latest + --name lumier-vm \ + -p 8006:8006 \ + -v $(pwd)/storage:/storage \ + -e VM_NAME=lumier-vm \ + -e VERSION=ghcr.io/trycua/macos-sequoia-cua:latest \ + -e CPU_CORES=4 \ + -e RAM_SIZE=8192 \ + -e HOST_STORAGE_PATH=$(pwd)/storage \ + trycua/lumier:latest ``` -### Shared Folder -```bash -mkdir -p shared +This command creates a connection between a folder on your Mac (`$(pwd)/storage`) and a folder inside the Docker container (`/storage`). The `-v` flag (volume mount) and the `HOST_STORAGE_PATH` variable work together to ensure your VM data is saved on your host Mac. +## Sharing Files with Your VM + +To share files between your Mac and the virtual machine, you can set up a shared folder: + +```bash +# Create both storage and shared folders +mkdir -p storage shared + +# Run with both persistent storage and a shared folder docker run -it --rm \ - --name lumier-vm \ - -p 8006:8006 \ - -v $(pwd)/storage:/storage \ - -v $(pwd)/shared:/shared \ - -e VM_NAME=lumier-vm \ - -e VERSION=ghcr.io/trycua/macos-sequoia-cua:latest \ - -e CPU_CORES=4 \ - -e RAM_SIZE=8192 \ - -e HOST_STORAGE_PATH=$(pwd)/storage \ - -e HOST_SHARED_PATH=$(pwd)/shared \ - trycua/lumier:latest -``` \ No newline at end of file + --name lumier-vm \ + -p 8006:8006 \ + -v $(pwd)/storage:/storage \ + -v $(pwd)/shared:/shared \ + -e VM_NAME=lumier-vm \ + -e VERSION=ghcr.io/trycua/macos-sequoia-cua:latest \ + -e CPU_CORES=4 \ + -e RAM_SIZE=8192 \ + -e HOST_STORAGE_PATH=$(pwd)/storage \ + -e HOST_SHARED_PATH=$(pwd)/shared \ + trycua/lumier:latest +``` + +With this setup, any files you place in the `shared` folder on your Mac will be accessible from within the macOS VM, and vice versa. + +## Automating VM Startup with on-logon.sh + +You can automatically run scripts when the VM starts up by placing an `on-logon.sh` script in the shared folder's lifecycle directory. This is useful for setting up your VM environment each time it starts. + +```bash +# Create the lifecycle directory in your shared folder +mkdir -p shared/lifecycle + +# Create a sample on-logon.sh script +cat > shared/lifecycle/on-logon.sh << 'EOF' +#!/usr/bin/env bash + +# Create a file on the desktop +echo "Hello from Lumier!" > /Users/lume/Desktop/hello_lume.txt + +# You can add more commands to execute at VM startup +# For example: +# - Configure environment variables +# - Start applications +# - Mount network drives +# - Set up development environments +EOF + +# Make the script executable +chmod +x shared/lifecycle/on-logon.sh +``` + +The script will be automatically executed when the VM starts up. It runs in the VM context and has access to: + +- The `/Users/lume` user directory (home directory in the VM) +- The shared folder at `/Volumes/My Shared Files` inside the VM +- Any resources available to the VM + +This feature enables automation of VM setup without modifying the base VM image. + +## Configuration Options + +When running Lumier, you'll need to configure a few things: + +- **Port forwarding** (`-p 8006:8006`): Makes the VM's VNC interface accessible in your browser. If port 8006 is already in use, you can use a different port like `-p 8007:8006`. + +- **Environment variables** (`-e`): Configure your VM settings: + - `VM_NAME`: A name for your virtual machine + - `VERSION`: The macOS image to use + - `CPU_CORES`: Number of CPU cores to allocate + - `RAM_SIZE`: Memory in MB to allocate + - `HOST_STORAGE_PATH`: Path to save VM state (when using persistent storage) + - `HOST_SHARED_PATH`: Path to the shared folder (optional) + +- **Background service**: The `lume serve` service should be running on your host (starts automatically when you install Lume using the `install.sh` script above). \ No newline at end of file diff --git a/docs/content/docs/libraries/lumier/index.mdx b/docs/content/docs/libraries/lumier/index.mdx index 55e113e9..5cb33762 100644 --- a/docs/content/docs/libraries/lumier/index.mdx +++ b/docs/content/docs/libraries/lumier/index.mdx @@ -10,4 +10,15 @@ github: - A ready-to-use macOS or Linux virtual machine in minutes - Browser-based VNC access to your VM - Easy file sharing between your host and VM -- Simple configuration through environment variables \ No newline at end of file +- Simple configuration through environment variables + +## How It Works + +> **Note:** We're using Docker primarily as a convenient delivery mechanism, not as an isolation layer. Unlike traditional Docker containers, Lumier leverages the Apple Virtualization Framework (Apple Vz) through the `lume` CLI to create true virtual machines. + +Here's what's happening behind the scenes: + +1. The Docker container provides a consistent environment to run the Lumier interface +2. Lumier connects to the Lume service running on your host Mac +3. Lume uses Apple's Virtualization Framework to create a true macOS virtual machine +4. The VM runs with hardware acceleration using your Mac's native virtualization capabilities \ No newline at end of file diff --git a/docs/content/docs/libraries/lumier/installation.mdx b/docs/content/docs/libraries/lumier/installation.mdx index 63db702a..e0c20267 100644 --- a/docs/content/docs/libraries/lumier/installation.mdx +++ b/docs/content/docs/libraries/lumier/installation.mdx @@ -2,6 +2,13 @@ title: Installation --- -**Requirements:** -- Docker for Apple Silicon (or compatible Mac) -- Lume virtualization CLI (install with: `/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/trycua/cua/main/libs/lume/scripts/install.sh)"`) \ No newline at end of file +Before using Lumier, make sure you have: + +1. **Docker for Apple Silicon** - download it [here](https://desktop.docker.com/mac/main/arm64/Docker.dmg) and follow the installation instructions. + +2. **Lume** - This is the virtualization CLI that powers Lumier. Install it with this command: +```bash +/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/trycua/cua/main/libs/lume/scripts/install.sh)" +``` + +After installation, Lume runs as a background service and listens on port 7777. This service allows Lumier to create and manage virtual machines. If port 7777 is already in use on your system, you can specify a different port with the `--port` option when running the `install.sh` script. \ No newline at end of file diff --git a/docs/content/docs/libraries/lumier/meta.json b/docs/content/docs/libraries/lumier/meta.json index a24ac050..f6a8946c 100644 --- a/docs/content/docs/libraries/lumier/meta.json +++ b/docs/content/docs/libraries/lumier/meta.json @@ -2,6 +2,7 @@ "pages": [ "installation", "docker", - "docker-compose" + "docker-compose", + "building-lumier" ] } diff --git a/libs/lumier/README.md b/libs/lumier/README.md index 287a6e96..92cfc559 100644 --- a/libs/lumier/README.md +++ b/libs/lumier/README.md @@ -39,19 +39,6 @@ Before using Lumier, make sure you have: /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/trycua/cua/main/libs/lume/scripts/install.sh)" ``` -After installation, Lume runs as a background service and listens on port 7777. This service allows Lumier to create and manage virtual machines. If port 7777 is already in use on your system, you can specify a different port with the `--port` option when running the `install.sh` script. - -## How It Works - -> **Note:** We're using Docker primarily as a convenient delivery mechanism, not as an isolation layer. Unlike traditional Docker containers, Lumier leverages the Apple Virtualization Framework (Apple Vz) through the `lume` CLI to create true virtual machines. - -Here's what's happening behind the scenes: - -1. The Docker container provides a consistent environment to run the Lumier interface -2. Lumier connects to the Lume service running on your host Mac -3. Lume uses Apple's Virtualization Framework to create a true macOS virtual machine -4. The VM runs with hardware acceleration using your Mac's native virtualization capabilities - ## Getting Started ```bash @@ -68,191 +55,14 @@ docker run -it --rm \ After running the command above, you can access your macOS VM through a web browser (e.g., http://localhost:8006). -> **Note:** With the basic setup above, your VM will be reset when you stop the container (ephemeral mode). This means any changes you make inside the macOS VM will be lost. See the section below for how to save your VM state. +> **Note:** With the basic setup above, your VM will be reset when you stop the container (ephemeral mode). This means any changes you make inside the macOS VM will be lost. See [the documentation](https://trycua.com/docs/libraries/lumier/docker) for how to save your VM state. -## Saving Your VM State +## Docs -To save your VM state between sessions (so your changes persist when you stop and restart the container), you'll need to set up a storage location: - -```bash -# First, create a storage directory if it doesn't exist -mkdir -p storage - -# Then run the container with persistent storage -docker run -it --rm \ - --name lumier-vm \ - -p 8006:8006 \ - -v $(pwd)/storage:/storage \ - -e VM_NAME=lumier-vm \ - -e VERSION=ghcr.io/trycua/macos-sequoia-cua:latest \ - -e CPU_CORES=4 \ - -e RAM_SIZE=8192 \ - -e HOST_STORAGE_PATH=$(pwd)/storage \ - trycua/lumier:latest -``` - -This command creates a connection between a folder on your Mac (`$(pwd)/storage`) and a folder inside the Docker container (`/storage`). The `-v` flag (volume mount) and the `HOST_STORAGE_PATH` variable work together to ensure your VM data is saved on your host Mac. - -## Sharing Files with Your VM - -To share files between your Mac and the virtual machine, you can set up a shared folder: - -```bash -# Create both storage and shared folders -mkdir -p storage shared - -# Run with both persistent storage and a shared folder -docker run -it --rm \ - --name lumier-vm \ - -p 8006:8006 \ - -v $(pwd)/storage:/storage \ - -v $(pwd)/shared:/shared \ - -e VM_NAME=lumier-vm \ - -e VERSION=ghcr.io/trycua/macos-sequoia-cua:latest \ - -e CPU_CORES=4 \ - -e RAM_SIZE=8192 \ - -e HOST_STORAGE_PATH=$(pwd)/storage \ - -e HOST_SHARED_PATH=$(pwd)/shared \ - trycua/lumier:latest -``` - -With this setup, any files you place in the `shared` folder on your Mac will be accessible from within the macOS VM, and vice versa. - -## Automating VM Startup with on-logon.sh - -You can automatically run scripts when the VM starts up by placing an `on-logon.sh` script in the shared folder's lifecycle directory. This is useful for setting up your VM environment each time it starts. - -```bash -# Create the lifecycle directory in your shared folder -mkdir -p shared/lifecycle - -# Create a sample on-logon.sh script -cat > shared/lifecycle/on-logon.sh << 'EOF' -#!/usr/bin/env bash - -# Create a file on the desktop -echo "Hello from Lumier!" > /Users/lume/Desktop/hello_lume.txt - -# You can add more commands to execute at VM startup -# For example: -# - Configure environment variables -# - Start applications -# - Mount network drives -# - Set up development environments -EOF - -# Make the script executable -chmod +x shared/lifecycle/on-logon.sh -``` - -The script will be automatically executed when the VM starts up. It runs in the VM context and has access to: - -- The `/Users/lume` user directory (home directory in the VM) -- The shared folder at `/Volumes/My Shared Files` inside the VM -- Any resources available to the VM - -This feature enables automation of VM setup without modifying the base VM image. - -## Using Docker Compose - -You can also use Docker Compose to run Lumier with a simple configuration file. Create a `docker-compose.yml` file with the following content: - -```yaml -version: '3' - -services: - lumier: - image: trycua/lumier:latest - container_name: lumier-vm - restart: unless-stopped - ports: - - "8006:8006" # Port for VNC access - volumes: - - ./storage:/storage # VM persistent storage - - ./shared:/shared # Shared folder accessible in the VM - environment: - - VM_NAME=lumier-vm - - VERSION=ghcr.io/trycua/macos-sequoia-cua:latest - - CPU_CORES=4 - - RAM_SIZE=8192 - - HOST_STORAGE_PATH=${PWD}/storage - - HOST_SHARED_PATH=${PWD}/shared - stop_signal: SIGINT - stop_grace_period: 2m -``` - -Then run Lumier using: - -```bash -# First create the required directories -mkdir -p storage shared - -# Start the container -docker-compose up -d - -# View the logs -docker-compose logs -f - -# Stop the container when done -docker-compose down -``` - -## Building and Customizing Lumier - -If you want to customize the Lumier container or build it from source, you can follow these steps: - -```bash -# 1. Navigate to the Lumier directory -cd libs/lumier - -# 2. Build the Docker image locally -docker build -t lumier-custom:latest . - -# 3. Run your custom build -docker run -it --rm \ - --name lumier-vm \ - -p 8006:8006 \ - -e VM_NAME=lumier-vm \ - -e VERSION=ghcr.io/trycua/macos-sequoia-cua:latest \ - -e CPU_CORES=4 \ - -e RAM_SIZE=8192 \ - lumier-custom:latest -``` - -### Customization Options - -The Dockerfile provides several customization points: - -1. **Base image**: The container uses Debian Bullseye Slim as the base. You can modify this if needed. -2. **Installed packages**: You can add or remove packages in the apt-get install list. -3. **Hooks**: Check the `/run/hooks/` directory for scripts that run at specific points during VM lifecycle. -4. **Configuration**: Review `/run/config/constants.sh` for default settings. - -After making your modifications, you can build and push your custom image to your own Docker Hub repository: - -```bash -# Build with a custom tag -docker build -t yourusername/lumier:custom . - -# Push to Docker Hub (after docker login) -docker push yourusername/lumier:custom -``` - -## Configuration Options - -When running Lumier, you'll need to configure a few things: - -- **Port forwarding** (`-p 8006:8006`): Makes the VM's VNC interface accessible in your browser. If port 8006 is already in use, you can use a different port like `-p 8007:8006`. - -- **Environment variables** (`-e`): Configure your VM settings: - - `VM_NAME`: A name for your virtual machine - - `VERSION`: The macOS image to use - - `CPU_CORES`: Number of CPU cores to allocate - - `RAM_SIZE`: Memory in MB to allocate - - `HOST_STORAGE_PATH`: Path to save VM state (when using persistent storage) - - `HOST_SHARED_PATH`: Path to the shared folder (optional) - -- **Background service**: The `lume serve` service should be running on your host (starts automatically when you install Lume using the `install.sh` script above). +- [Installation](https://trycua.com/docs/libraries/lumier/installation) +- [Docker](https://trycua.com/docs/libraries/lumier/docker) +- [Docker Compose](https://trycua.com/docs/libraries/lumier/docker-compose) +- [Building Lumier](https://trycua.com/docs/libraries/lumier/building-lumier) ## Credits From 1626094590ecfaa842039cca2bb1164b5fddab89 Mon Sep 17 00:00:00 2001 From: James Murdza Date: Thu, 28 Aug 2025 06:22:24 -0400 Subject: [PATCH 098/103] Use callouts for notes --- docs/content/docs/libraries/lumier/docker.mdx | 4 +++- docs/content/docs/libraries/lumier/index.mdx | 4 +++- 2 files changed, 6 insertions(+), 2 deletions(-) diff --git a/docs/content/docs/libraries/lumier/docker.mdx b/docs/content/docs/libraries/lumier/docker.mdx index 35ea859b..4ecd15d6 100644 --- a/docs/content/docs/libraries/lumier/docker.mdx +++ b/docs/content/docs/libraries/lumier/docker.mdx @@ -20,7 +20,9 @@ Access the VM in your browser at [http://localhost:8006](http://localhost:8006). After running the command above, you can access your macOS VM through a web browser (e.g., http://localhost:8006). -> **Note:** With the basic setup above, your VM will be reset when you stop the container (ephemeral mode). This means any changes you make inside the macOS VM will be lost. See the section below for how to save your VM state. + +With the basic setup above, your VM will be reset when you stop the container (ephemeral mode). This means any changes you make inside the macOS VM will be lost. See the section below for how to save your VM state. + ## Saving Your VM State diff --git a/docs/content/docs/libraries/lumier/index.mdx b/docs/content/docs/libraries/lumier/index.mdx index 5cb33762..814055ba 100644 --- a/docs/content/docs/libraries/lumier/index.mdx +++ b/docs/content/docs/libraries/lumier/index.mdx @@ -14,7 +14,9 @@ github: ## How It Works -> **Note:** We're using Docker primarily as a convenient delivery mechanism, not as an isolation layer. Unlike traditional Docker containers, Lumier leverages the Apple Virtualization Framework (Apple Vz) through the `lume` CLI to create true virtual machines. + +We're using Docker primarily as a convenient delivery mechanism, not as an isolation layer. Unlike traditional Docker containers, Lumier leverages the Apple Virtualization Framework (Apple Vz) through the `lume` CLI to create true virtual machines. + Here's what's happening behind the scenes: From 5ee601e21649b9b6670d76021b53a6b9496bbe09 Mon Sep 17 00:00:00 2001 From: James Murdza Date: Thu, 28 Aug 2025 07:50:03 -0400 Subject: [PATCH 099/103] Move text from READMEs to Cua documentation --- .../mcp-server/client-integrations.mdx | 20 ++++ .../libraries/mcp-server/configuration.mdx | 10 ++ .../docs/libraries/mcp-server/index.mdx | 12 +-- .../libraries/mcp-server/installation.mdx | 53 ++++++++++ .../libraries/mcp-server/llm-integrations.mdx | 16 +++ .../docs/libraries/mcp-server/meta.json | 10 ++ .../docs/libraries/mcp-server/tools.mdx | 10 ++ .../docs/libraries/mcp-server/usage.mdx | 20 ++++ libs/python/mcp-server/README.md | 97 ++----------------- 9 files changed, 147 insertions(+), 101 deletions(-) create mode 100644 docs/content/docs/libraries/mcp-server/client-integrations.mdx create mode 100644 docs/content/docs/libraries/mcp-server/configuration.mdx create mode 100644 docs/content/docs/libraries/mcp-server/installation.mdx create mode 100644 docs/content/docs/libraries/mcp-server/llm-integrations.mdx create mode 100644 docs/content/docs/libraries/mcp-server/meta.json create mode 100644 docs/content/docs/libraries/mcp-server/tools.mdx create mode 100644 docs/content/docs/libraries/mcp-server/usage.mdx diff --git a/docs/content/docs/libraries/mcp-server/client-integrations.mdx b/docs/content/docs/libraries/mcp-server/client-integrations.mdx new file mode 100644 index 00000000..8699cda0 --- /dev/null +++ b/docs/content/docs/libraries/mcp-server/client-integrations.mdx @@ -0,0 +1,20 @@ +--- +title: Client Integrations +--- + +## Claude Desktop Integration + +To use with Claude Desktop, add an entry to your Claude Desktop configuration (`claude_desktop_config.json`, typically found in `~/.config/claude-desktop/`): + +For more information on MCP with Claude Desktop, see the [official MCP User Guide](https://modelcontextprotocol.io/quickstart/user). + +## Cursor Integration + +To use with Cursor, add an MCP configuration file in one of these locations: + +- **Project-specific**: Create `.cursor/mcp.json` in your project directory +- **Global**: Create `~/.cursor/mcp.json` in your home directory + +After configuration, you can simply tell Cursor's Agent to perform computer tasks by explicitly mentioning the CUA agent, such as "Use the computer control tools to open Safari." + +For more information on MCP with Cursor, see the [official Cursor MCP documentation](https://docs.cursor.com/context/model-context-protocol). \ No newline at end of file diff --git a/docs/content/docs/libraries/mcp-server/configuration.mdx b/docs/content/docs/libraries/mcp-server/configuration.mdx new file mode 100644 index 00000000..e5df8293 --- /dev/null +++ b/docs/content/docs/libraries/mcp-server/configuration.mdx @@ -0,0 +1,10 @@ +--- +title: Configuration +--- + +The server is configured using environment variables (can be set in the Claude Desktop config): + +| Variable | Description | Default | +|----------|-------------|---------| +| `CUA_MODEL_NAME` | Model string (e.g., "anthropic/claude-3-5-sonnet-20241022", "openai/computer-use-preview", "huggingface-local/ByteDance-Seed/UI-TARS-1.5-7B", "omniparser+litellm/gpt-4o", "omniparser+ollama_chat/gemma3") | anthropic/claude-3-5-sonnet-20241022 | +| `CUA_MAX_IMAGES` | Maximum number of images to keep in context | 3 | diff --git a/docs/content/docs/libraries/mcp-server/index.mdx b/docs/content/docs/libraries/mcp-server/index.mdx index f9885bf1..87c9a342 100644 --- a/docs/content/docs/libraries/mcp-server/index.mdx +++ b/docs/content/docs/libraries/mcp-server/index.mdx @@ -6,14 +6,4 @@ github: - https://github.com/trycua/cua/tree/main/libs/python/mcp-server --- -## ⚠️ 🚧 Under Construction 🚧 ⚠️ - -The MCP Server API reference documentation is currently under development. - -## Overview - -The MCP Server provides Model Context Protocol endpoints for AI model integration. - -## API Documentation - -Coming soon. +**cua-mcp-server** is a MCP server for the Computer-Use Agent (CUA), allowing you to run CUA through Claude Desktop or other MCP clients. \ No newline at end of file diff --git a/docs/content/docs/libraries/mcp-server/installation.mdx b/docs/content/docs/libraries/mcp-server/installation.mdx new file mode 100644 index 00000000..c04a4917 --- /dev/null +++ b/docs/content/docs/libraries/mcp-server/installation.mdx @@ -0,0 +1,53 @@ +--- +title: Installation +--- + +Install the package from PyPI: + +```bash +pip install cua-mcp-server +``` + +This will install: +- The MCP server +- CUA agent and computer dependencies +- An executable `cua-mcp-server` script in your PATH + +## Easy Setup Script + +If you want to simplify installation, you can use this one-liner to download and run the installation script: + +```bash +curl -fsSL https://raw.githubusercontent.com/trycua/cua/main/libs/python/mcp-server/scripts/install_mcp_server.sh | bash +``` + +This script will: +- Create the ~/.cua directory if it doesn't exist +- Generate a startup script at ~/.cua/start_mcp_server.sh +- Make the script executable +- The startup script automatically manages Python virtual environments and installs/updates the cua-mcp-server package + +You can then use the script in your MCP configuration like this: + +```json +{ + "mcpServers": { + "cua-agent": { + "command": "/bin/bash", + "args": ["~/.cua/start_mcp_server.sh"], + "env": { + "CUA_MODEL_NAME": "anthropic/claude-3-5-sonnet-20241022" + } + } + } +} +``` + +### Troubleshooting + +If you get a `/bin/bash: ~/cua/libs/python/mcp-server/scripts/start_mcp_server.sh: No such file or directory` error, try changing the path to the script to be absolute instead of relative. + +To see the logs: +``` +tail -n 20 -f ~/Library/Logs/Claude/mcp*.log +``` \ No newline at end of file diff --git a/docs/content/docs/libraries/mcp-server/llm-integrations.mdx b/docs/content/docs/libraries/mcp-server/llm-integrations.mdx new file mode 100644 index 00000000..a7515ae2 --- /dev/null +++ b/docs/content/docs/libraries/mcp-server/llm-integrations.mdx @@ -0,0 +1,16 @@ +--- +title: LLM Integrations +--- +## LiteLLM Integration + +This MCP server features comprehensive liteLLM integration, allowing you to use any supported LLM provider with a simple model string configuration. + +- **Unified Configuration**: Use a single `CUA_MODEL_NAME` environment variable with a model string +- **Automatic Provider Detection**: The agent automatically detects the provider and capabilities from the model string +- **Extensive Provider Support**: Works with Anthropic, OpenAI, local models, and any liteLLM-compatible provider + +### Model String Examples: +- **Anthropic**: `"anthropic/claude-3-5-sonnet-20241022"` +- **OpenAI**: `"openai/computer-use-preview"` +- **UI-TARS**: `"huggingface-local/ByteDance-Seed/UI-TARS-1.5-7B"` +- **Omni + Any LiteLLM**: `"omniparser+litellm/gpt-4o"`, `"omniparser+litellm/claude-3-haiku"`, `"omniparser+ollama_chat/gemma3"` \ No newline at end of file diff --git a/docs/content/docs/libraries/mcp-server/meta.json b/docs/content/docs/libraries/mcp-server/meta.json new file mode 100644 index 00000000..45fa4ba9 --- /dev/null +++ b/docs/content/docs/libraries/mcp-server/meta.json @@ -0,0 +1,10 @@ +{ + "pages": [ + "installation", + "configuration", + "usage", + "tools", + "client-integrations", + "llm-integrations" + ] +} \ No newline at end of file diff --git a/docs/content/docs/libraries/mcp-server/tools.mdx b/docs/content/docs/libraries/mcp-server/tools.mdx new file mode 100644 index 00000000..edf29c0b --- /dev/null +++ b/docs/content/docs/libraries/mcp-server/tools.mdx @@ -0,0 +1,10 @@ +--- +title: Tools +--- + +## Available Tools + +The MCP server exposes the following tools to Claude: + +1. `run_cua_task` - Run a single Computer-Use Agent task with the given instruction +2. `run_multi_cua_tasks` - Run multiple tasks in sequence \ No newline at end of file diff --git a/docs/content/docs/libraries/mcp-server/usage.mdx b/docs/content/docs/libraries/mcp-server/usage.mdx new file mode 100644 index 00000000..19eef934 --- /dev/null +++ b/docs/content/docs/libraries/mcp-server/usage.mdx @@ -0,0 +1,20 @@ +--- +title: Usage +--- + +## Usage + +Once configured, you can simply ask Claude to perform computer tasks: + +- "Open Chrome and go to github.com" +- "Create a folder called 'Projects' on my desktop" +- "Find all PDFs in my Downloads folder" +- "Take a screenshot and highlight the error message" + +Claude will automatically use your CUA agent to perform these tasks. + +### First-time Usage Notes + +**API Keys**: Ensure you have valid API keys: + - Add your Anthropic API key, or other model provider API key in the Claude Desktop config (as shown above) + - Or set it as an environment variable in your shell profile diff --git a/libs/python/mcp-server/README.md b/libs/python/mcp-server/README.md index 090ebb31..abf82375 100644 --- a/libs/python/mcp-server/README.md +++ b/libs/python/mcp-server/README.md @@ -17,20 +17,6 @@ **cua-mcp-server** is a MCP server for the Computer-Use Agent (CUA), allowing you to run CUA through Claude Desktop or other MCP clients. -## LiteLLM Integration - -This MCP server features comprehensive liteLLM integration, allowing you to use any supported LLM provider with a simple model string configuration. - -- **Unified Configuration**: Use a single `CUA_MODEL_NAME` environment variable with a model string -- **Automatic Provider Detection**: The agent automatically detects the provider and capabilities from the model string -- **Extensive Provider Support**: Works with Anthropic, OpenAI, local models, and any liteLLM-compatible provider - -### Model String Examples: -- **Anthropic**: `"anthropic/claude-3-5-sonnet-20241022"` -- **OpenAI**: `"openai/computer-use-preview"` -- **UI-TARS**: `"huggingface-local/ByteDance-Seed/UI-TARS-1.5-7B"` -- **Omni + Any LiteLLM**: `"omniparser+litellm/gpt-4o"`, `"omniparser+litellm/claude-3-haiku"`, `"omniparser+ollama_chat/gemma3"` - ### Get started with Agent ## Prerequisites @@ -44,19 +30,6 @@ Before installing the MCP server, you'll need to set up full Computer-Use Agent Make sure these steps are completed and working before proceeding with the MCP server installation. -## Installation - -Install the package from PyPI: - -```bash -pip install cua-mcp-server -``` - -This will install: -- The MCP server -- CUA agent and computer dependencies -- An executable `cua-mcp-server` script in your PATH - ## Easy Setup Script If you want to simplify installation, you can use this one-liner to download and run the installation script: @@ -65,12 +38,6 @@ If you want to simplify installation, you can use this one-liner to download and curl -fsSL https://raw.githubusercontent.com/trycua/cua/main/libs/python/mcp-server/scripts/install_mcp_server.sh | bash ``` -This script will: -- Create the ~/.cua directory if it doesn't exist -- Generate a startup script at ~/.cua/start_mcp_server.sh -- Make the script executable -- The startup script automatically manages Python virtual environments and installs/updates the cua-mcp-server package - You can then use the script in your MCP configuration like this: ```json @@ -112,61 +79,11 @@ This configuration: Just add this to your MCP client's configuration and it will use your local development version of the server. -### Troubleshooting +## Docs -If you get a `/bin/bash: ~/cua/libs/python/mcp-server/scripts/start_mcp_server.sh: No such file or directory` error, try changing the path to the script to be absolute instead of relative. - -To see the logs: -``` -tail -n 20 -f ~/Library/Logs/Claude/mcp*.log -``` - -## Claude Desktop Integration - -To use with Claude Desktop, add an entry to your Claude Desktop configuration (`claude_desktop_config.json`, typically found in `~/.config/claude-desktop/`): - -For more information on MCP with Claude Desktop, see the [official MCP User Guide](https://modelcontextprotocol.io/quickstart/user). - -## Cursor Integration - -To use with Cursor, add an MCP configuration file in one of these locations: - -- **Project-specific**: Create `.cursor/mcp.json` in your project directory -- **Global**: Create `~/.cursor/mcp.json` in your home directory - -After configuration, you can simply tell Cursor's Agent to perform computer tasks by explicitly mentioning the CUA agent, such as "Use the computer control tools to open Safari." - -For more information on MCP with Cursor, see the [official Cursor MCP documentation](https://docs.cursor.com/context/model-context-protocol). - -### First-time Usage Notes - -**API Keys**: Ensure you have valid API keys: - - Add your Anthropic API key, or other model provider API key in the Claude Desktop config (as shown above) - - Or set it as an environment variable in your shell profile - -## Configuration - -The server is configured using environment variables (can be set in the Claude Desktop config): - -| Variable | Description | Default | -|----------|-------------|---------| -| `CUA_MODEL_NAME` | Model string (e.g., "anthropic/claude-3-5-sonnet-20241022", "openai/computer-use-preview", "huggingface-local/ByteDance-Seed/UI-TARS-1.5-7B", "omniparser+litellm/gpt-4o", "omniparser+ollama_chat/gemma3") | anthropic/claude-3-5-sonnet-20241022 | -| `CUA_MAX_IMAGES` | Maximum number of images to keep in context | 3 | - -## Available Tools - -The MCP server exposes the following tools to Claude: - -1. `run_cua_task` - Run a single Computer-Use Agent task with the given instruction -2. `run_multi_cua_tasks` - Run multiple tasks in sequence - -## Usage - -Once configured, you can simply ask Claude to perform computer tasks: - -- "Open Chrome and go to github.com" -- "Create a folder called 'Projects' on my desktop" -- "Find all PDFs in my Downloads folder" -- "Take a screenshot and highlight the error message" - -Claude will automatically use your CUA agent to perform these tasks. \ No newline at end of file +- [Installation](https://trycua.com/docs/libraries/mcp-server/installation) +- [Configuration](https://trycua.com/docs/libraries/mcp-server/configuration) +- [Usage](https://trycua.com/docs/libraries/mcp-server/usage) +- [Tools](https://trycua.com/docs/libraries/mcp-server/tools) +- [Client Integrations](https://trycua.com/docs/libraries/mcp-server/client-integrations) +- [LLM Integrations](https://trycua.com/docs/libraries/mcp-server/llm-integrations) \ No newline at end of file From 45dca9082b1b714f9d71d6be5230b155d6c23645 Mon Sep 17 00:00:00 2001 From: James Murdza Date: Thu, 28 Aug 2025 07:55:07 -0400 Subject: [PATCH 100/103] Simplify README --- libs/python/mcp-server/README.md | 17 +++++------------ 1 file changed, 5 insertions(+), 12 deletions(-) diff --git a/libs/python/mcp-server/README.md b/libs/python/mcp-server/README.md index abf82375..08aa763a 100644 --- a/libs/python/mcp-server/README.md +++ b/libs/python/mcp-server/README.md @@ -21,18 +21,11 @@ ## Prerequisites -Before installing the MCP server, you'll need to set up full Computer-Use Agent capabilities. This includes: +Cua MCP Server requires [lume](https://github.com/trycua/cua/blob/main/libs/lume/README.md#install) to be installed. -1. Installing the Lume CLI -2. Pulling the latest macOS CUA image -3. Starting the Lume daemon service -4. Installing the required Python libraries (Optional: only needed if you want to verify the agent is working before installing MCP server) +## Install -Make sure these steps are completed and working before proceeding with the MCP server installation. - -## Easy Setup Script - -If you want to simplify installation, you can use this one-liner to download and run the installation script: +Download and run the installation script: ```bash curl -fsSL https://raw.githubusercontent.com/trycua/cua/main/libs/python/mcp-server/scripts/install_mcp_server.sh | bash @@ -54,9 +47,9 @@ You can then use the script in your MCP configuration like this: } ``` -## Development Guide +## Development -If you want to develop with the cua-mcp-server directly without installation, you can use this configuration: +Use this configuration to develop with the cua-mcp-server directly without installation: ```json { From b504133f8d3b064a9927633839c83eb1e6f073a3 Mon Sep 17 00:00:00 2001 From: f-trycua Date: Tue, 2 Sep 2025 00:54:50 +0200 Subject: [PATCH 101/103] Add hackathon info --- README.md | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/README.md b/README.md index 4ebf8fe1..af895a65 100644 --- a/README.md +++ b/README.md @@ -13,6 +13,11 @@       trycua%2Fcua | Trendshift +> We’re hosting the **Computer-Use Agents SOTA Challenge** at [Hack the North](https://hackthenorth.com) and online! +>> **Track A (On-site @ UWaterloo)**: Reserved for participants accepted to Hack the North. 🏆 Prize: **YC interview guaranteed**. +>> **Track B (Remote)**: Open to everyone worldwide. 🏆 Prize: **Cash award**. +>>> 👉 Sign up here: [trycua.com/hackathon](https://www.trycua.com/hackathon) + **cua** ("koo-ah") is Docker for [Computer-Use Agents](https://www.oneusefulthing.org/p/when-you-give-a-claude-a-mouse) - it enables AI agents to control full operating systems in virtual containers and deploy them locally or to the cloud.
      From d039c57c68a7dc619cf0f23dee16fdfa0116e7ec Mon Sep 17 00:00:00 2001 From: f-trycua Date: Tue, 2 Sep 2025 11:11:39 +0200 Subject: [PATCH 102/103] Add hackathon samples folder --- samples/community/global-online/README.md | 3 +++ samples/community/hack-the-north/README.md | 3 +++ 2 files changed, 6 insertions(+) create mode 100644 samples/community/global-online/README.md create mode 100644 samples/community/hack-the-north/README.md diff --git a/samples/community/global-online/README.md b/samples/community/global-online/README.md new file mode 100644 index 00000000..137cebe6 --- /dev/null +++ b/samples/community/global-online/README.md @@ -0,0 +1,3 @@ +# Global Online Hackathon Submission + +In construction 🏗 ️ \ No newline at end of file diff --git a/samples/community/hack-the-north/README.md b/samples/community/hack-the-north/README.md new file mode 100644 index 00000000..b25f7a8d --- /dev/null +++ b/samples/community/hack-the-north/README.md @@ -0,0 +1,3 @@ +# Hack the North Hackathon Submission + +In construction 🏗️ \ No newline at end of file From 7850fac399bf46c0edda07af5963a5c0ad3a1658 Mon Sep 17 00:00:00 2001 From: James Murdza Date: Tue, 2 Sep 2025 15:00:36 -0400 Subject: [PATCH 103/103] Extend HUD integration documentation --- .../docs/agent-sdk/integrations/hud.mdx | 108 ++++++++++++++++-- 1 file changed, 97 insertions(+), 11 deletions(-) diff --git a/docs/content/docs/agent-sdk/integrations/hud.mdx b/docs/content/docs/agent-sdk/integrations/hud.mdx index cee5f77f..3ad35878 100644 --- a/docs/content/docs/agent-sdk/integrations/hud.mdx +++ b/docs/content/docs/agent-sdk/integrations/hud.mdx @@ -3,20 +3,38 @@ title: HUD Evals description: Use ComputerAgent with HUD for benchmarking and evaluation --- -The HUD integration allows you to use ComputerAgent with the [HUD benchmarking framework](https://www.hud.so/), providing the same interface as existing HUD agents while leveraging ComputerAgent's capabilities. +The HUD integration allows an agent to be benchmarked using the [HUD framework](https://www.hud.so/). Through the HUD integration, the agent controls a computer inside HUD, where tests are run to evaluate the success of each task. ## Installation +First, install the required package: + ```bash pip install "cua-agent[hud]" ## or install hud-python directly # pip install hud-python==0.4.12 ``` -## Usage +## Environment Variables + +Before running any evaluations, you’ll need to set up your environment variables for HUD and your model providers: + +```bash +# HUD access +export HUD_API_KEY="your_hud_api_key" + +# Model provider keys (at least one required) +export OPENAI_API_KEY="your_openai_key" +export ANTHROPIC_API_KEY="your_anthropic_key" +``` + +## Running a Single Task + +You can run a single task from a HUD dataset for quick verification. + +### Example ```python -# Quick single-task smoke test from agent.integrations.hud import run_single_task await run_single_task( @@ -24,8 +42,20 @@ await run_single_task( model="openai/computer-use-preview+openai/gpt-5-nano", # any supported model string task_id=155, # e.g., reopen last closed tab ) +``` -# Run a small split of OSWorld-Verified in parallel +### Parameters + +- `task_id` (`int`): Default: `0` + Index of the task to run from the dataset. + +## Running a Full Dataset + +To benchmark your agent at scale, you can run an entire dataset (or a subset) in parallel. + +### Example + +```python from agent.integrations.hud import run_full_dataset results = await run_full_dataset( @@ -35,13 +65,69 @@ results = await run_full_dataset( max_concurrent=20, # tune to your infra max_steps=50 # safety cap per task ) - -# Environment variables required: -# - HUD_API_KEY (HUD access) -# - OPENAI_API_KEY or ANTHROPIC_API_KEY depending on your chosen model(s) ``` -**Available Benchmarks:** -1. [OSWorld-Verified](/agent-sdk/benchmarks/osworld-verified) - Benchmark on OSWorld tasks +### Parameters -See the [HUD docs](https://docs.hud.so/environment-creation) for more eval environments. \ No newline at end of file +- `job_name` (`str` | `None`): + Optional human-readable name for the evaluation job (shows up in HUD UI). +- `max_concurrent` (`int`): Default: `30` + Number of tasks to run in parallel. Scale this based on your infra. +- `max_steps` (`int`): Default: `50` + Safety cap on steps per task to prevent infinite loops. +- `split` (`str`): Default: `"train"` + Dataset split or subset (e.g., `"train[:10]"`). + +## Additional Parameters + +Both single-task and full-dataset runs share a common set of configuration options. These let you fine-tune how the evaluation runs. + +- `dataset` (`str` | `Dataset` | `list[dict]`): **Required** + HUD dataset name (e.g. `"hud-evals/OSWorld-Verified-XLang"`), a loaded `Dataset`, or a list of tasks. +- `model` (`str`): Default: `"computer-use-preview"` + Model string, e.g. `"openai/computer-use-preview+openai/gpt-5-nano"`. Supports composition with `+` (planning + grounding). +- `allowed_tools` (`list[str]`): Default: `["openai_computer"]` + Restrict which tools the agent may use. +- `tools` (`list[Any]`): + Extra tool configs to inject. +- `custom_loop` (`Callable`): + Optional custom agent loop function. If provided, overrides automatic loop selection. +- `only_n_most_recent_images` (`int`): Default: `5` for full dataset, `None` for single task. + Retain only the last N screenshots in memory. +- `callbacks` (`list[Any]`): + Hook functions for logging, telemetry, or side effects. +- `verbosity` (`int`): + Logging level. Set `2` for debugging every call/action. +- `trajectory_dir` (`str` | `dict`): + Save local copies of trajectories for replay/analysis. +- `max_retries` (`int`): Default: `3` + Number of retries for failed model/tool calls. +- `screenshot_delay` (`float` | `int`): Default: `0.5` + Delay (seconds) between screenshots to avoid race conditions. +- `use_prompt_caching` (`bool`): Default: `False` + Cache repeated prompts to reduce API calls. +- `max_trajectory_budget` (`float` | `dict`): + Limit on trajectory size/budget (e.g., tokens, steps). +- `telemetry_enabled` (`bool`): Default: `True` + Whether to send telemetry/traces to HUD. +- `**kwargs` (`any`): + Any additional keyword arguments are passed through to the agent loop or model provider. + +## Available Benchmarks + +HUD provides multiple benchmark datasets for realistic evaluation. + +1. **[OSWorld-Verified](/agent-sdk/benchmarks/osworld-verified)** – Benchmark on 369+ real-world desktop tasks across Chrome, LibreOffice, GIMP, VS Code, etc. + *Best for*: evaluating full computer-use agents in realistic environments. + *Verified variant*: fixes 300+ issues from earlier versions for reliability. + +**Coming soon:** SheetBench (spreadsheet automation) and other specialized HUD datasets. + +See the [HUD docs](https://docs.hud.so/environment-creation) for more eval environments. + +## Tips + +* **Debugging:** set `verbosity=2` to see every model call and tool action. +* **Performance:** lower `screenshot_delay` for faster runs; raise it if you see race conditions. +* **Safety:** always set `max_steps` (defaults to 50) to prevent runaway loops. +* **Custom tools:** pass extra `tools=[...]` into the agent config if you need beyond `openai_computer`. \ No newline at end of file

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