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Formatting Fix

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Adam
2025-11-13 12:21:51 -05:00
parent bd05000bb6
commit c59a4a7e3d
12 changed files with 314 additions and 214 deletions
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4
libs/python/agent/agent/adapters/cua_adapter.py
View File

@@ -10,7 +10,9 @@ class CUAAdapter(CustomLLM):
def __init__(self, base_url: str | None = None, api_key: str | None = None, **_: Any):
super().__init__()
self.base_url = base_url or os.environ.get("CUA_BASE_URL") or "https://inference.cua.ai/v1"
self.api_key = api_key or os.environ.get("CUA_INFERENCE_API_KEY") or os.environ.get("CUA_API_KEY")
self.api_key = (
api_key or os.environ.get("CUA_INFERENCE_API_KEY") or os.environ.get("CUA_API_KEY")
)
def _normalize_model(self, model: str) -> str:
# Accept either "cua/<model>" or raw "<model>"

76
notebooks/agent_nb.ipynb
View File

@@ -59,10 +59,8 @@
"import os\n",
"\n",
"# Get API keys from environment or prompt user\n",
"anthropic_key = os.getenv(\"ANTHROPIC_API_KEY\") or \\\n",
" input(\"Enter your Anthropic API key: \")\n",
"openai_key = os.getenv(\"OPENAI_API_KEY\") or \\\n",
" input(\"Enter your OpenAI API key: \")\n",
"anthropic_key = os.getenv(\"ANTHROPIC_API_KEY\") or input(\"Enter your Anthropic API key: \")\n",
"openai_key = os.getenv(\"OPENAI_API_KEY\") or input(\"Enter your OpenAI API key: \")\n",
"\n",
"os.environ[\"ANTHROPIC_API_KEY\"] = anthropic_key\n",
"os.environ[\"OPENAI_API_KEY\"] = openai_key"
@@ -95,10 +93,8 @@
"metadata": {},
"outputs": [],
"source": [
"cua_api_key = os.getenv(\"CUA_API_KEY\") or \\\n",
" input(\"Enter your Cua API Key: \")\n",
"container_name = os.getenv(\"CONTAINER_NAME\") or \\\n",
" input(\"Enter your Cloud Container name: \")"
"cua_api_key = os.getenv(\"CUA_API_KEY\") or input(\"Enter your Cua API Key: \")\n",
"container_name = os.getenv(\"CONTAINER_NAME\") or input(\"Enter your Cloud Container name: \")"
]
},
{
@@ -114,7 +110,9 @@
"metadata": {},
"outputs": [],
"source": [
"os_type = input(\"Enter the OS type of your sandbox (linux/macos) [default: linux]: \").lower() or \"linux\""
"os_type = (\n",
" input(\"Enter the OS type of your sandbox (linux/macos) [default: linux]: \").lower() or \"linux\"\n",
")"
]
},
{
@@ -139,7 +137,7 @@
" api_key=cua_api_key,\n",
" name=container_name,\n",
" provider_type=VMProviderType.CLOUD,\n",
" verbosity=logging.INFO\n",
" verbosity=logging.INFO,\n",
")\n",
"\n",
"# Create agent\n",
@@ -148,8 +146,8 @@
" tools=[computer],\n",
" trajectory_dir=str(Path(\"trajectories\")),\n",
" only_n_most_recent_images=3,\n",
" verbosity=logging.INFO\n",
")\n"
" verbosity=logging.INFO,\n",
")"
]
},
{
@@ -168,7 +166,7 @@
"tasks = [\n",
" \"Open a web browser and navigate to GitHub\",\n",
" \"Search for the trycua/cua repository\",\n",
" \"Take a screenshot of the repository page\"\n",
" \"Take a screenshot of the repository page\",\n",
"]\n",
"\n",
"for i, task in enumerate(tasks):\n",
@@ -176,7 +174,7 @@
" async for result in agent.run(task):\n",
" # print(result)\n",
" pass\n",
" print(f\"✅ Task {i+1}/{len(tasks)} completed: {task}\")\n"
" print(f\"✅ Task {i+1}/{len(tasks)} completed: {task}\")"
]
},
{
@@ -206,7 +204,7 @@
" os_type=\"linux\",\n",
" provider_type=\"docker\",\n",
" image=\"trycua/cua-ubuntu:latest\",\n",
" name=\"my-cua-container\"\n",
" name=\"my-cua-container\",\n",
")"
]
},
@@ -237,12 +235,12 @@
"\n",
"\n",
"computer = Computer(\n",
" verbosity=logging.INFO, \n",
" verbosity=logging.INFO,\n",
" provider_type=VMProviderType.LUME,\n",
" display=\"1024x768\",\n",
" memory=\"8GB\",\n",
" cpu=\"4\",\n",
" os_type=\"macos\"\n",
" os_type=\"macos\",\n",
")"
]
},
@@ -272,7 +270,7 @@
" tools=[computer],\n",
" trajectory_dir=str(Path(\"trajectories\")),\n",
" only_n_most_recent_images=3,\n",
" verbosity=logging.INFO\n",
" verbosity=logging.INFO,\n",
")"
]
},
@@ -328,14 +326,14 @@
"\n",
"# Create agent with Anthropic loop and provider\n",
"agent = ComputerAgent(\n",
" model=\"omniparser+ollama_chat/gemma3:12b-it-q4_K_M\",\n",
" # model=\"omniparser+openai/gpt-4o-mini\",\n",
" # model=\"omniparser+anthropic/claude-3-7-sonnet-20250219\",\n",
" tools=[computer],\n",
" trajectory_dir=str(Path(\"trajectories\")),\n",
" only_n_most_recent_images=3,\n",
" verbosity=logging.INFO\n",
" )\n",
" model=\"omniparser+ollama_chat/gemma3:12b-it-q4_K_M\",\n",
" # model=\"omniparser+openai/gpt-4o-mini\",\n",
" # model=\"omniparser+anthropic/claude-3-7-sonnet-20250219\",\n",
" tools=[computer],\n",
" trajectory_dir=str(Path(\"trajectories\")),\n",
" only_n_most_recent_images=3,\n",
" verbosity=logging.INFO,\n",
")\n",
"\n",
"tasks = [\n",
" \"Look for a repository named trycua/cua on GitHub.\",\n",
@@ -414,7 +412,7 @@
" tools=[computer], # Can be cloud or local\n",
" model=\"openai/computer-use-preview\",\n",
" trajectory_dir=str(Path(\"trajectories\")),\n",
" verbosity=logging.INFO\n",
" verbosity=logging.INFO,\n",
")"
]
},
@@ -430,7 +428,14 @@
"execution_count": null,
"metadata": {},
"outputs": [],
"source": "anthropic_agent = ComputerAgent(\n tools=[computer],\n model=\"anthropic/claude-sonnet-4-5-20250929\",\n trajectory_dir=str(Path(\"trajectories\")),\n verbosity=logging.INFO\n)\n"
"source": [
"anthropic_agent = ComputerAgent(\n",
" tools=[computer],\n",
" model=\"anthropic/claude-sonnet-4-5-20250929\",\n",
" trajectory_dir=str(Path(\"trajectories\")),\n",
" verbosity=logging.INFO,\n",
")"
]
},
{
"cell_type": "markdown",
@@ -451,8 +456,8 @@
" # model=\"omniparser+openai/gpt-4o-mini\",\n",
" trajectory_dir=str(Path(\"trajectories\")),\n",
" only_n_most_recent_images=3,\n",
" verbosity=logging.INFO\n",
")\n"
" verbosity=logging.INFO,\n",
")"
]
},
{
@@ -470,12 +475,12 @@
"source": [
"uitars_agent = ComputerAgent(\n",
" tools=[computer],\n",
" model=\"mlx/mlx-community/UI-TARS-1.5-7B-6bit\", # local MLX\n",
" model=\"mlx/mlx-community/UI-TARS-1.5-7B-6bit\", # local MLX\n",
" # model=\"huggingface-local/ByteDance-Seed/UI-TARS-1.5-7B\", # local Huggingface (transformers)\n",
" # model=\"huggingface/ByteDance-Seed/UI-TARS-1.5-7B\", # remote Huggingface (TGI)\n",
" trajectory_dir=str(Path(\"trajectories\")),\n",
" verbosity=logging.INFO\n",
")\n"
" verbosity=logging.INFO,\n",
")"
]
},
{
@@ -495,7 +500,10 @@
"execution_count": null,
"metadata": {},
"outputs": [],
"source": "print(f\"Trajectories saved to: {Path('trajectories').absolute()}\")\nprint(\"Upload trajectory files to https://cua.ai/trajectory-viewer to visualize agent actions\")\n"
"source": [
"print(f\"Trajectories saved to: {Path('trajectories').absolute()}\")\n",
"print(\"Upload trajectory files to https://cua.ai/trajectory-viewer to visualize agent actions\")"
]
}
],
"metadata": {

101
notebooks/blog/build-your-own-operator-on-macos-1.ipynb
View File

@@ -96,7 +96,7 @@
"source": [
"async def execute_action(computer, action):\n",
" action_type = action.type\n",
" \n",
"\n",
" if action_type == \"click\":\n",
" x = action.x\n",
" y = action.y\n",
@@ -107,12 +107,12 @@
" await computer.interface.right_click()\n",
" else:\n",
" await computer.interface.left_click()\n",
" \n",
"\n",
" elif action_type == \"type\":\n",
" text = action.text\n",
" print(f\"Typing text: {text}\")\n",
" await computer.interface.type_text(text)\n",
" \n",
"\n",
" elif action_type == \"scroll\":\n",
" x = action.x\n",
" y = action.y\n",
@@ -121,7 +121,7 @@
" print(f\"Scrolling at ({x}, {y}) with offsets (scroll_x={scroll_x}, scroll_y={scroll_y})\")\n",
" await computer.interface.move_cursor(x, y)\n",
" await computer.interface.scroll(scroll_y) # Assuming CUA provides a scroll method\n",
" \n",
"\n",
" elif action_type == \"keypress\":\n",
" keys = action.keys\n",
" for key in keys:\n",
@@ -133,17 +133,17 @@
" await computer.interface.press_key(\"space\")\n",
" else:\n",
" await computer.interface.press_key(key)\n",
" \n",
"\n",
" elif action_type == \"wait\":\n",
" print(f\"Waiting for 2 seconds\")\n",
" print(\"Waiting for 2 seconds\")\n",
" await asyncio.sleep(2)\n",
" \n",
"\n",
" elif action_type == \"screenshot\":\n",
" print(\"Taking screenshot\")\n",
" # This is handled automatically in the main loop, but we can take an extra one if requested\n",
" screenshot = await computer.interface.screenshot()\n",
" return screenshot\n",
" \n",
"\n",
" else:\n",
" print(f\"Unrecognized action: {action_type}\")"
]
@@ -173,43 +173,45 @@
"source": [
"async def cua_openai_loop():\n",
" # Initialize the CUA computer instance (macOS sandbox)\n",
" async with Computer(\n",
" display=\"1024x768\",\n",
" memory=\"4GB\",\n",
" cpu=\"2\",\n",
" os_type=\"macos\"\n",
" ) as computer:\n",
" async with Computer(display=\"1024x768\", memory=\"4GB\", cpu=\"2\", os_type=\"macos\") as computer:\n",
" await computer.run()\n",
" \n",
"\n",
" # Capture the initial screenshot\n",
" screenshot = await computer.interface.screenshot()\n",
" screenshot_base64 = base64.b64encode(screenshot).decode('utf-8')\n",
" screenshot_base64 = base64.b64encode(screenshot).decode(\"utf-8\")\n",
"\n",
" # Initial request to start the loop\n",
" response = openai.responses.create(\n",
" model=\"computer-use-preview\",\n",
" tools=[{\n",
" \"type\": \"computer_use_preview\",\n",
" \"display_width\": 1024,\n",
" \"display_height\": 768,\n",
" \"environment\": \"mac\"\n",
" }],\n",
" input=[\n",
" { # type: ignore\n",
" \"role\": \"user\", \n",
" \"content\": [\n",
" {\"type\": \"input_text\", \"text\": \"Open Safari, download and install Cursor.\"},\n",
" {\"type\": \"input_image\", \"image_url\": f\"data:image/png;base64,{screenshot_base64}\"}\n",
" ]\n",
" tools=[\n",
" {\n",
" \"type\": \"computer_use_preview\",\n",
" \"display_width\": 1024,\n",
" \"display_height\": 768,\n",
" \"environment\": \"mac\",\n",
" }\n",
" ],\n",
" truncation=\"auto\"\n",
" input=[\n",
" { # type: ignore\n",
" \"role\": \"user\",\n",
" \"content\": [\n",
" {\"type\": \"input_text\", \"text\": \"Open Safari, download and install Cursor.\"},\n",
" {\n",
" \"type\": \"input_image\",\n",
" \"image_url\": f\"data:image/png;base64,{screenshot_base64}\",\n",
" },\n",
" ],\n",
" }\n",
" ],\n",
" truncation=\"auto\",\n",
" )\n",
"\n",
" # Continue the loop until no more computer_call actions\n",
" while True:\n",
" # Check for computer_call actions\n",
" computer_calls = [item for item in response.output if item and item.type == \"computer_call\"]\n",
" computer_calls = [\n",
" item for item in response.output if item and item.type == \"computer_call\"\n",
" ]\n",
" if not computer_calls:\n",
" print(\"No more computer calls. Loop complete.\")\n",
" break\n",
@@ -234,33 +236,38 @@
"\n",
" # Capture new screenshot after action\n",
" new_screenshot = await computer.interface.screenshot()\n",
" new_screenshot_base64 = base64.b64encode(new_screenshot).decode('utf-8')\n",
" new_screenshot_base64 = base64.b64encode(new_screenshot).decode(\"utf-8\")\n",
"\n",
" # Send the screenshot back as computer_call_output\n",
" response = openai.responses.create(\n",
" model=\"computer-use-preview\",\n",
" previous_response_id=response.id, # Link to previous response\n",
" tools=[{\n",
" \"type\": \"computer_use_preview\",\n",
" \"display_width\": 1024,\n",
" \"display_height\": 768,\n",
" \"environment\": \"mac\"\n",
" }],\n",
" input=[{ # type: ignore\n",
" \"type\": \"computer_call_output\",\n",
" \"call_id\": last_call_id,\n",
" \"acknowledged_safety_checks\": acknowledged_checks,\n",
" \"output\": {\n",
" \"type\": \"input_image\",\n",
" \"image_url\": f\"data:image/png;base64,{new_screenshot_base64}\"\n",
" tools=[\n",
" {\n",
" \"type\": \"computer_use_preview\",\n",
" \"display_width\": 1024,\n",
" \"display_height\": 768,\n",
" \"environment\": \"mac\",\n",
" }\n",
" }],\n",
" truncation=\"auto\"\n",
" ],\n",
" input=[\n",
" { # type: ignore\n",
" \"type\": \"computer_call_output\",\n",
" \"call_id\": last_call_id,\n",
" \"acknowledged_safety_checks\": acknowledged_checks,\n",
" \"output\": {\n",
" \"type\": \"input_image\",\n",
" \"image_url\": f\"data:image/png;base64,{new_screenshot_base64}\",\n",
" },\n",
" }\n",
" ],\n",
" truncation=\"auto\",\n",
" )\n",
"\n",
" # End the session\n",
" await computer.stop()\n",
"\n",
"\n",
"# Run the loop\n",
"await cua_openai_loop()"
]

12
notebooks/blog/build-your-own-operator-on-macos-2.ipynb
View File

@@ -128,12 +128,12 @@
"outputs": [],
"source": [
"agent = ComputerAgent(\n",
" tools=[computer],\n",
" model=\"openai/computer-use-preview\",\n",
" save_trajectory=True,\n",
" only_n_most_recent_images=3,\n",
" verbosity=logging.INFO\n",
" )\n",
" tools=[computer],\n",
" model=\"openai/computer-use-preview\",\n",
" save_trajectory=True,\n",
" only_n_most_recent_images=3,\n",
" verbosity=logging.INFO,\n",
")\n",
"\n",
"\n",
"for i, task in enumerate(tasks):\n",

29
notebooks/composite_agents_docker_nb.ipynb
View File

@@ -76,13 +76,18 @@
"source": [
"import os\n",
"\n",
"OPENROUTER_API_KEY = os.getenv('OPENROUTER_API_KEY') or input('Enter your OPENROUTER_API_KEY: ').strip()\n",
"os.environ['OPENROUTER_API_KEY'] = OPENROUTER_API_KEY\n",
"OPENROUTER_API_KEY = (\n",
" os.getenv(\"OPENROUTER_API_KEY\") or input(\"Enter your OPENROUTER_API_KEY: \").strip()\n",
")\n",
"os.environ[\"OPENROUTER_API_KEY\"] = OPENROUTER_API_KEY\n",
"\n",
"# Optional: if planning model uses OpenAI provider\n",
"OPENAI_API_KEY = os.getenv('OPENAI_API_KEY') or input('(Optional) Enter your OPENAI_API_KEY (press Enter to skip): ').strip()\n",
"OPENAI_API_KEY = (\n",
" os.getenv(\"OPENAI_API_KEY\")\n",
" or input(\"(Optional) Enter your OPENAI_API_KEY (press Enter to skip): \").strip()\n",
")\n",
"if OPENAI_API_KEY:\n",
" os.environ['OPENAI_API_KEY'] = OPENAI_API_KEY"
" os.environ[\"OPENAI_API_KEY\"] = OPENAI_API_KEY"
]
},
{
@@ -104,24 +109,26 @@
"from computer import Computer\n",
"from agent import ComputerAgent\n",
"\n",
"\n",
"async def main():\n",
" # Launch & connect to a Docker container running the Computer Server\n",
" async with Computer(\n",
" os_type='linux',\n",
" provider_type='docker',\n",
" image='trycua/cua-ubuntu:latest',\n",
" name='my-cua-container'\n",
" os_type=\"linux\",\n",
" provider_type=\"docker\",\n",
" image=\"trycua/cua-ubuntu:latest\",\n",
" name=\"my-cua-container\",\n",
" ) as computer:\n",
" agent = ComputerAgent(\n",
" model='openrouter/z-ai/glm-4.5v+openai/gpt-5-nano',\n",
" model=\"openrouter/z-ai/glm-4.5v+openai/gpt-5-nano\",\n",
" tools=[computer],\n",
" trajectory_dir='trajectories' # Save agent trajectory (screenshots, api calls)\n",
" trajectory_dir=\"trajectories\", # Save agent trajectory (screenshots, api calls)\n",
" )\n",
"\n",
" # Simple task to verify end-to-end\n",
" async for _ in agent.run('Open a browser and go to example.com'):\n",
" async for _ in agent.run(\"Open a browser and go to example.com\"):\n",
" pass\n",
"\n",
"\n",
"asyncio.run(main())"
]
},

38
notebooks/computer_nb.ipynb
View File

@@ -49,10 +49,8 @@
"# Get API key and container name from environment or prompt user\n",
"import os\n",
"\n",
"cua_api_key = os.getenv(\"CUA_API_KEY\") or \\\n",
" input(\"Enter your Cua API Key: \")\n",
"container_name = os.getenv(\"CONTAINER_NAME\") or \\\n",
" input(\"Enter your Cloud Container name: \")"
"cua_api_key = os.getenv(\"CUA_API_KEY\") or input(\"Enter your Cua API Key: \")\n",
"container_name = os.getenv(\"CONTAINER_NAME\") or input(\"Enter your Cloud Container name: \")"
]
},
{
@@ -68,7 +66,9 @@
"metadata": {},
"outputs": [],
"source": [
"os_type = input(\"Enter the OS type of your sandbox (linux/macos) [default: linux]: \").lower() or \"linux\""
"os_type = (\n",
" input(\"Enter the OS type of your sandbox (linux/macos) [default: linux]: \").lower() or \"linux\"\n",
")"
]
},
{
@@ -121,7 +121,7 @@
"metadata": {},
"outputs": [],
"source": [
"await computer.run() # Initialize the computer first\n",
"await computer.run() # Initialize the computer first\n",
"\n",
"screenshot = await computer.interface.screenshot()\n",
"\n",
@@ -159,10 +159,10 @@
" os_type=\"linux\",\n",
" provider_type=\"docker\",\n",
" image=\"trycua/cua-ubuntu:latest\",\n",
" name=\"my-cua-container\"\n",
" name=\"my-cua-container\",\n",
")\n",
"\n",
"await computer.run() # Launch & connect to Docker container"
"await computer.run() # Launch & connect to Docker container"
]
},
{
@@ -330,12 +330,7 @@
"metadata": {},
"outputs": [],
"source": [
"computer = Computer(\n",
" display=\"1024x768\",\n",
" memory=\"8GB\",\n",
" cpu=\"4\",\n",
" os_type=\"macos\"\n",
")\n",
"computer = Computer(display=\"1024x768\", memory=\"8GB\", cpu=\"4\", os_type=\"macos\")\n",
"\n",
"await computer.run()"
]
@@ -513,7 +508,7 @@
" memory=\"4GB\",\n",
" cpu=\"2\",\n",
" os_type=\"macos\",\n",
" shared_directories=[\"/absolute/path/to/directory\"]\n",
" shared_directories=[\"/absolute/path/to/directory\"],\n",
")"
]
},
@@ -533,11 +528,7 @@
"outputs": [],
"source": [
"computer = Computer(\n",
" display=\"1024x768\",\n",
" memory=\"4GB\",\n",
" cpu=\"2\",\n",
" os_type=\"macos\",\n",
" use_host_computer_server=True\n",
" display=\"1024x768\", memory=\"4GB\", cpu=\"2\", os_type=\"macos\", use_host_computer_server=True\n",
")"
]
},
@@ -563,12 +554,7 @@
"metadata": {},
"outputs": [],
"source": [
"async with Computer(\n",
" display=\"1024x768\",\n",
" memory=\"4GB\",\n",
" cpu=\"2\",\n",
" os_type=\"macos\"\n",
") as computer:\n",
"async with Computer(display=\"1024x768\", memory=\"4GB\", cpu=\"2\", os_type=\"macos\") as computer:\n",
" await computer.run()\n",
" res = await computer.interface.run_command(\"ls -a\")\n",
"\n",

29
notebooks/customizing_computeragent.ipynb
View File

@@ -40,10 +40,10 @@
" os_type=\"linux\",\n",
" provider_type=\"docker\",\n",
" image=\"trycua/cua-ubuntu:latest\",\n",
" name=\"my-cua-container\"\n",
" name=\"my-cua-container\",\n",
")\n",
"\n",
"await computer.run() # Launch & connect to Docker container"
"await computer.run() # Launch & connect to Docker container"
]
},
{
@@ -81,12 +81,12 @@
" instructions=instructions,\n",
" callbacks=[LoggingCallback(level=logging.INFO)],\n",
")\n",
"messages = [\n",
" {\"role\": \"user\", \"content\": \"Open the settings and turn on dark mode.\"}\n",
"]\n",
"messages = [{\"role\": \"user\", \"content\": \"Open the settings and turn on dark mode.\"}]\n",
"\n",
"# In notebooks, you may want to consume the async generator\n",
"import asyncio\n",
"\n",
"\n",
"async def run_once():\n",
" async for chunk in agent.run(messages):\n",
" # Print any assistant text outputs\n",
@@ -96,7 +96,8 @@
" if c.get(\"text\"):\n",
" print(c.get(\"text\"))\n",
"\n",
"await run_once()\n"
"\n",
"await run_once()"
]
},
{
@@ -127,11 +128,12 @@
" return \"0.00%\"\n",
" return f\"{(numerator/denominator)*100:.2f}%\"\n",
"\n",
"\n",
"agent_with_tool = ComputerAgent(\n",
" model=\"openai/computer-use-preview\",\n",
" tools=[computer, calculate_percentage],\n",
" instructions=\"When doing math, prefer the `calculate_percentage` tool when relevant.\",\n",
")\n"
")"
]
},
{
@@ -148,7 +150,18 @@
"execution_count": null,
"metadata": {},
"outputs": [],
"source": "from agent.callbacks import ImageRetentionCallback, TrajectorySaverCallback\n\nagent_with_callbacks = ComputerAgent(\n model=\"anthropic/claude-sonnet-4-5-20250929\",\n tools=[computer],\n callbacks=[\n ImageRetentionCallback(only_n_most_recent_images=3),\n TrajectorySaverCallback(\"./trajectories\"),\n ],\n)\n"
"source": [
"from agent.callbacks import ImageRetentionCallback, TrajectorySaverCallback\n",
"\n",
"agent_with_callbacks = ComputerAgent(\n",
" model=\"anthropic/claude-sonnet-4-5-20250929\",\n",
" tools=[computer],\n",
" callbacks=[\n",
" ImageRetentionCallback(only_n_most_recent_images=3),\n",
" TrajectorySaverCallback(\"./trajectories\"),\n",
" ],\n",
")"
]
},
{
"cell_type": "markdown",

30
notebooks/eval_osworld.ipynb
View File

@@ -17,7 +17,7 @@
"outputs": [],
"source": [
"# # Install dependencies if needed\n",
"# !uv venv \n",
"# !uv venv\n",
"# !source .venv/bin/activate\n",
"# !uv sync"
]
@@ -42,14 +42,14 @@
"import os\n",
"\n",
"# Load environment variables from ../.env\n",
"load_dotenv(dotenv_path='../.env')\n",
"load_dotenv(dotenv_path=\"../.env\")\n",
"\n",
"# Required environment variables:\n",
"# - HUD_API_KEY (for HUD access)\n",
"# - ANTHROPIC_API_KEY (for Claude models)\n",
"# - OPENAI_API_KEY (for OpenAI models)\n",
"assert os.getenv('HUD_API_KEY') is not None\n",
"assert os.getenv('ANTHROPIC_API_KEY') is not None or os.getenv('OPENAI_API_KEY') is not None\n",
"assert os.getenv(\"HUD_API_KEY\") is not None\n",
"assert os.getenv(\"ANTHROPIC_API_KEY\") is not None or os.getenv(\"OPENAI_API_KEY\") is not None\n",
"\n",
"from pprint import pprint"
]
@@ -76,7 +76,7 @@
"await run_single_task(\n",
" dataset=\"hud-evals/OSWorld-Verified\",\n",
" model=\"openai/computer-use-preview+openai/gpt-5\", # or any supported model string\n",
" task_id=155 # open last tab task (easy)\n",
" task_id=155, # open last tab task (easy)\n",
")"
]
},
@@ -100,12 +100,12 @@
"job_name = f\"osworld-test-{str(uuid.uuid4())[:4]}\"\n",
"\n",
"results = await run_full_dataset(\n",
" dataset=\"hud-evals/OSWorld-Verified\", # 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",
" dataset=\"hud-evals/OSWorld-Verified\", # 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",
"# results is a list from hud.datasets.run_dataset; inspect/aggregate as needed\n",
@@ -133,7 +133,7 @@
"models_to_test = [\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",
@@ -142,12 +142,12 @@
"\n",
" results = await run_full_dataset(\n",
" dataset=\"hud-evals/OSWorld-Verified\",\n",
" job_name=job_name, \n",
" job_name=job_name,\n",
" model=model,\n",
" max_concurrent=20, \n",
" max_concurrent=20,\n",
" max_steps=75,\n",
" trajectory_dir=f\"trajectories/osworld_{job_uuid}\",\n",
" only_n_most_recent_images=3\n",
" only_n_most_recent_images=3,\n",
" )\n",
"\n",
" # results is a list from hud.datasets.run_dataset; inspect/aggregate as needed\n",

38
notebooks/ollama_nb.ipynb
View File

@@ -73,11 +73,12 @@
"\"\"\"\n",
"\n",
"from pathlib import Path\n",
"if not Path('.env').exists():\n",
" Path('.env').write_text(ENV_TEMPLATE)\n",
" print('A .env file was created! Fill in the empty values you need.')\n",
"\n",
"if not Path(\".env\").exists():\n",
" Path(\".env\").write_text(ENV_TEMPLATE)\n",
" print(\"A .env file was created! Fill in the empty values you need.\")\n",
"else:\n",
" print('.env already exists')\n"
" print(\".env already exists\")"
]
},
{
@@ -90,10 +91,11 @@
"# Load .env into environment\n",
"import os\n",
"from dotenv import load_dotenv\n",
"load_dotenv(dotenv_path='.env', override=True)\n",
"print('OPENAI_API_KEY set:', bool(os.getenv('OPENAI_API_KEY')))\n",
"print('ANTHROPIC_API_KEY set:', bool(os.getenv('ANTHROPIC_API_KEY')))\n",
"print('OLLAMA_API_BASE:', os.getenv('OLLAMA_API_BASE', 'http://localhost:11434'))\n"
"\n",
"load_dotenv(dotenv_path=\".env\", override=True)\n",
"print(\"OPENAI_API_KEY set:\", bool(os.getenv(\"OPENAI_API_KEY\")))\n",
"print(\"ANTHROPIC_API_KEY set:\", bool(os.getenv(\"ANTHROPIC_API_KEY\")))\n",
"print(\"OLLAMA_API_BASE:\", os.getenv(\"OLLAMA_API_BASE\", \"http://localhost:11434\"))"
]
},
{
@@ -143,15 +145,11 @@
"from computer import Computer, VMProviderType\n",
"import webbrowser\n",
"\n",
"computer = Computer(\n",
" os_type=\"linux\",\n",
" provider_type=VMProviderType.DOCKER,\n",
" verbosity=logging.INFO\n",
")\n",
"computer = Computer(os_type=\"linux\", provider_type=VMProviderType.DOCKER, verbosity=logging.INFO)\n",
"await computer.run()\n",
"\n",
"# Optional: open the VNC page in your browser\n",
"webbrowser.open('http://localhost:8006/', new=0, autoraise=True)\n"
"webbrowser.open(\"http://localhost:8006/\", new=0, autoraise=True)"
]
},
{
@@ -181,16 +179,16 @@
"agent_all_in_one = ComputerAgent(\n",
" model=\"ollama/blaifa/InternVL3_5:8b\",\n",
" tools=[computer],\n",
" trajectory_dir=str(Path('trajectories')),\n",
" trajectory_dir=str(Path(\"trajectories\")),\n",
" only_n_most_recent_images=3,\n",
" verbosity=logging.INFO,\n",
" # instructions=\"You are a helpful assistant.\" # Editable instructions for prompt engineering\n",
")\n",
"\n",
"print('Running all-in-one Ollama CUA model...')\n",
"print(\"Running all-in-one Ollama CUA model...\")\n",
"async for _ in agent_all_in_one.run(\"Open the web browser and go to example.com\"):\n",
" pass\n",
"print('✅ Done')\n"
"print(\"✅ Done\")"
]
},
{
@@ -221,15 +219,15 @@
"agent_composed = ComputerAgent(\n",
" model=\"anthropic/claude-3-5-sonnet-20241022+ollama/gemma3:4b\",\n",
" tools=[computer],\n",
" trajectory_dir='trajectories',\n",
" trajectory_dir=\"trajectories\",\n",
" only_n_most_recent_images=3,\n",
" verbosity=logging.INFO,\n",
")\n",
"\n",
"print('Running composed agent (OpenAI grounding + Ollama VLM)...')\n",
"print(\"Running composed agent (OpenAI grounding + Ollama VLM)...\")\n",
"async for _ in agent_composed.run(\"Open a text editor and type: Hello from composed model!\"):\n",
" pass\n",
"print('✅ Done')\n"
"print(\"✅ Done\")"
]
},
{

57
notebooks/sota_hackathon.ipynb
View File

@@ -79,6 +79,7 @@
"\"\"\"\n",
"\n",
"import os\n",
"\n",
"if not os.path.exists(\".env\"):\n",
" open(\".env\", \"w\").write(ENV_TEMPLATE)\n",
" print(\"A .env file was created! Fill in the empty values.\")"
@@ -103,7 +104,8 @@
"# HUD requires the .env file to be in the same directory\n",
"\n",
"from dotenv import load_dotenv\n",
"load_dotenv(dotenv_path='.env', override=True)\n",
"\n",
"load_dotenv(dotenv_path=\".env\", override=True)\n",
"\n",
"assert os.getenv(\"HUD_API_KEY\")"
]
@@ -124,7 +126,22 @@
"id": "cd4393b0",
"metadata": {},
"outputs": [],
"source": "import logging\nfrom pathlib import Path\nfrom agent import ComputerAgent\n\n# Here you can set the model and tools for your agent.\n# Computer use models: https://cua.ai/docs/agent-sdk/supported-agents/computer-use-agents\n# Composed agent models: https://cua.ai/docs/agent-sdk/supported-agents/composed-agents\n# Custom tools: https://cua.ai/docs/agent-sdk/custom-tools\nagent_config = {\n \"model\": \"openai/computer-use-preview\",\n \"trajectory_dir\": str(Path(\"trajectories\")),\n \"only_n_most_recent_images\": 3,\n \"verbosity\": logging.INFO\n}"
"source": [
"import logging\n",
"from pathlib import Path\n",
"from agent import ComputerAgent\n",
"\n",
"# Here you can set the model and tools for your agent.\n",
"# Computer use models: https://cua.ai/docs/agent-sdk/supported-agents/computer-use-agents\n",
"# Composed agent models: https://cua.ai/docs/agent-sdk/supported-agents/composed-agents\n",
"# Custom tools: https://cua.ai/docs/agent-sdk/custom-tools\n",
"agent_config = {\n",
" \"model\": \"openai/computer-use-preview\",\n",
" \"trajectory_dir\": str(Path(\"trajectories\")),\n",
" \"only_n_most_recent_images\": 3,\n",
" \"verbosity\": logging.INFO,\n",
"}"
]
},
{
"cell_type": "markdown",
@@ -157,14 +174,10 @@
"import webbrowser\n",
"\n",
"# Connect to your existing cloud container\n",
"computer = Computer(\n",
" os_type=\"linux\",\n",
" provider_type=VMProviderType.DOCKER,\n",
" verbosity=logging.INFO\n",
")\n",
"computer = Computer(os_type=\"linux\", provider_type=VMProviderType.DOCKER, verbosity=logging.INFO)\n",
"await computer.run()\n",
"\n",
"agent_config[\"tools\"] = [ computer ]\n",
"agent_config[\"tools\"] = [computer]\n",
"\n",
"webbrowser.open(\"http://localhost:8006/\", new=0, autoraise=True)"
]
@@ -189,9 +202,7 @@
"# Create agent\n",
"agent = ComputerAgent(**agent_config)\n",
"\n",
"tasks = [\n",
" \"Open the web browser and search for a repository named trycua/cua on GitHub.\"\n",
"]\n",
"tasks = [\"Open the web browser and search for a repository named trycua/cua on GitHub.\"]\n",
"\n",
"for i, task in enumerate(tasks):\n",
" print(f\"\\nExecuting task {i}/{len(tasks)}: {task}\")\n",
@@ -218,7 +229,29 @@
"id": "6bf0887e",
"metadata": {},
"outputs": [],
"source": "import uuid\nfrom pprint import pprint\nfrom agent.integrations.hud import run_full_dataset\n\njob_name = f\"osworld-test-{str(uuid.uuid4())[:4]}\"\n\n# Full dataset evaluation (runs via HUD's run_dataset under the hood)\n# See the documentation here: https://cua.ai/docs/agent-sdk/integrations/hud#running-a-full-dataset\nresults = await run_full_dataset(\n dataset=\"ddupont/OSWorld-Tiny-Public\",\n job_name=job_name,\n **agent_config,\n max_concurrent=20,\n max_steps=50,\n #split=\"train[:5]\"\n)\n\n# results is a list from hud.datasets.run_dataset; inspect/aggregate as needed\nprint(f\"Job: {job_name}\")\nprint(f\"Total results: {len(results)}\")\npprint(results[:3])"
"source": [
"import uuid\n",
"from pprint import pprint\n",
"from agent.integrations.hud import run_full_dataset\n",
"\n",
"job_name = f\"osworld-test-{str(uuid.uuid4())[:4]}\"\n",
"\n",
"# Full dataset evaluation (runs via HUD's run_dataset under the hood)\n",
"# See the documentation here: https://cua.ai/docs/agent-sdk/integrations/hud#running-a-full-dataset\n",
"results = await run_full_dataset(\n",
" dataset=\"ddupont/OSWorld-Tiny-Public\",\n",
" job_name=job_name,\n",
" **agent_config,\n",
" max_concurrent=20,\n",
" max_steps=50,\n",
" # split=\"train[:5]\"\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])"
]
},
{
"cell_type": "markdown",

53
notebooks/sota_hackathon_cloud.ipynb
View File

@@ -78,6 +78,7 @@
"\"\"\"\n",
"\n",
"import os\n",
"\n",
"if not os.path.exists(\".env\"):\n",
" open(\".env\", \"w\").write(ENV_TEMPLATE)\n",
" print(\"A .env file was created! Fill in the empty values.\")"
@@ -102,7 +103,8 @@
"# HUD requires the .env file to be in the same directory\n",
"\n",
"from dotenv import load_dotenv\n",
"load_dotenv(dotenv_path='.env', override=True)\n",
"\n",
"load_dotenv(dotenv_path=\".env\", override=True)\n",
"\n",
"assert os.getenv(\"CUA_API_KEY\")\n",
"assert os.getenv(\"CUA_CONTAINER_NAME\")\n",
@@ -125,7 +127,22 @@
"id": "cd4393b0",
"metadata": {},
"outputs": [],
"source": "import logging\nfrom pathlib import Path\nfrom agent import ComputerAgent\n\n# Here you can set the model and tools for your agent.\n# Computer use models: https://cua.ai/docs/agent-sdk/supported-agents/computer-use-agents\n# Composed agent models: https://cua.ai/docs/agent-sdk/supported-agents/composed-agents\n# Custom tools: https://cua.ai/docs/agent-sdk/custom-tools\nagent_config = {\n \"model\": \"openai/computer-use-preview\",\n \"trajectory_dir\": str(Path(\"trajectories\")),\n \"only_n_most_recent_images\": 3,\n \"verbosity\": logging.INFO\n}"
"source": [
"import logging\n",
"from pathlib import Path\n",
"from agent import ComputerAgent\n",
"\n",
"# Here you can set the model and tools for your agent.\n",
"# Computer use models: https://cua.ai/docs/agent-sdk/supported-agents/computer-use-agents\n",
"# Composed agent models: https://cua.ai/docs/agent-sdk/supported-agents/composed-agents\n",
"# Custom tools: https://cua.ai/docs/agent-sdk/custom-tools\n",
"agent_config = {\n",
" \"model\": \"openai/computer-use-preview\",\n",
" \"trajectory_dir\": str(Path(\"trajectories\")),\n",
" \"only_n_most_recent_images\": 3,\n",
" \"verbosity\": logging.INFO,\n",
"}"
]
},
{
"cell_type": "markdown",
@@ -158,10 +175,10 @@
" provider_type=VMProviderType.CLOUD,\n",
" name=os.getenv(\"CUA_CONTAINER_NAME\") or \"\",\n",
" api_key=os.getenv(\"CUA_API_KEY\"),\n",
" verbosity=logging.INFO\n",
" verbosity=logging.INFO,\n",
")\n",
"\n",
"agent_config[\"tools\"] = [ computer ]"
"agent_config[\"tools\"] = [computer]"
]
},
{
@@ -180,9 +197,7 @@
"# Create agent\n",
"agent = ComputerAgent(**agent_config)\n",
"\n",
"tasks = [\n",
" \"Open the web browser and search for a repository named trycua/cua on GitHub.\"\n",
"]\n",
"tasks = [\"Open the web browser and search for a repository named trycua/cua on GitHub.\"]\n",
"\n",
"for i, task in enumerate(tasks):\n",
" print(f\"\\nExecuting task {i}/{len(tasks)}: {task}\")\n",
@@ -209,7 +224,29 @@
"id": "6bf0887e",
"metadata": {},
"outputs": [],
"source": "import uuid\nfrom pprint import pprint\nfrom agent.integrations.hud import run_full_dataset\n\njob_name = f\"osworld-test-{str(uuid.uuid4())[:4]}\"\n\n# Full dataset evaluation (runs via HUD's run_dataset under the hood)\n# See the documentation here: https://cua.ai/docs/agent-sdk/integrations/hud#running-a-full-dataset\nresults = await run_full_dataset(\n dataset=\"ddupont/OSWorld-Tiny-Public\",\n job_name=job_name,\n **agent_config,\n max_concurrent=20,\n max_steps=50,\n #split=\"train[:5]\"\n)\n\n# results is a list from hud.datasets.run_dataset; inspect/aggregate as needed\nprint(f\"Job: {job_name}\")\nprint(f\"Total results: {len(results)}\")\npprint(results[:3])"
"source": [
"import uuid\n",
"from pprint import pprint\n",
"from agent.integrations.hud import run_full_dataset\n",
"\n",
"job_name = f\"osworld-test-{str(uuid.uuid4())[:4]}\"\n",
"\n",
"# Full dataset evaluation (runs via HUD's run_dataset under the hood)\n",
"# See the documentation here: https://cua.ai/docs/agent-sdk/integrations/hud#running-a-full-dataset\n",
"results = await run_full_dataset(\n",
" dataset=\"ddupont/OSWorld-Tiny-Public\",\n",
" job_name=job_name,\n",
" **agent_config,\n",
" max_concurrent=20,\n",
" max_steps=50,\n",
" # split=\"train[:5]\"\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])"
]
},
{
"cell_type": "markdown",

61
uv.lock generated
View File

@@ -861,7 +861,7 @@ wheels = [
[[package]]
name = "cua-agent"
version = "0.4.37"
version = "0.4.39"
source = { editable = "libs/python/agent" }
dependencies = [
{ name = "aiohttp" },
@@ -1015,7 +1015,7 @@ provides-extras = ["openai", "anthropic", "qwen", "omni", "uitars", "uitars-mlx"
[[package]]
name = "cua-computer"
version = "0.4.11"
version = "0.4.12"
source = { editable = "libs/python/computer" }
dependencies = [
{ name = "aiohttp" },
@@ -1059,13 +1059,12 @@ provides-extras = ["lume", "lumier", "ui", "all"]
[[package]]
name = "cua-computer-server"
version = "0.1.28"
version = "0.1.30"
source = { editable = "libs/python/computer-server" }
dependencies = [
{ name = "aiohttp" },
{ name = "fastapi" },
{ name = "pillow" },
{ name = "pip-system-certs", marker = "sys_platform == 'win32'" },
{ name = "pyautogui" },
{ name = "pydantic" },
{ name = "pynput" },
@@ -1073,6 +1072,7 @@ dependencies = [
{ name = "pyobjc-framework-cocoa", marker = "sys_platform == 'darwin'" },
{ name = "pyobjc-framework-quartz", marker = "sys_platform == 'darwin'" },
{ name = "pyperclip" },
{ name = "python-certifi-win32", marker = "sys_platform == 'win32'" },
{ name = "python-xlib", marker = "sys_platform == 'linux'" },
{ name = "pywin32", marker = "sys_platform == 'win32'" },
{ name = "pywinctl" },
@@ -1098,7 +1098,6 @@ requires-dist = [
{ name = "aiohttp", specifier = ">=3.9.1" },
{ name = "fastapi", specifier = ">=0.111.0" },
{ name = "pillow", specifier = ">=10.2.0" },
{ name = "pip-system-certs", marker = "sys_platform == 'win32'" },
{ name = "pyautogui", specifier = ">=0.9.54" },
{ name = "pydantic", specifier = ">=2.0.0" },
{ name = "pynput", specifier = ">=1.8.1" },
@@ -1109,6 +1108,7 @@ requires-dist = [
{ name = "pyobjc-framework-quartz", marker = "sys_platform == 'darwin'", specifier = ">=10.1" },
{ name = "pyobjc-framework-quartz", marker = "extra == 'macos'", specifier = ">=10.1" },
{ name = "pyperclip", specifier = ">=1.9.0" },
{ name = "python-certifi-win32", marker = "sys_platform == 'win32'" },
{ name = "python-xlib", marker = "sys_platform == 'linux'", specifier = ">=0.33" },
{ name = "python-xlib", marker = "extra == 'linux'", specifier = ">=0.33" },
{ name = "pywin32", marker = "sys_platform == 'win32'", specifier = ">=310" },
@@ -1847,6 +1847,8 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/19/0d/6660d55f7373b2ff8152401a83e02084956da23ae58cddbfb0b330978fe9/greenlet-3.2.4-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:3b3812d8d0c9579967815af437d96623f45c0f2ae5f04e366de62a12d83a8fb0", size = 607586, upload-time = "2025-08-07T13:18:28.544Z" },
{ url = "https://files.pythonhosted.org/packages/8e/1a/c953fdedd22d81ee4629afbb38d2f9d71e37d23caace44775a3a969147d4/greenlet-3.2.4-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:abbf57b5a870d30c4675928c37278493044d7c14378350b3aa5d484fa65575f0", size = 1123281, upload-time = "2025-08-07T13:42:39.858Z" },
{ url = "https://files.pythonhosted.org/packages/3f/c7/12381b18e21aef2c6bd3a636da1088b888b97b7a0362fac2e4de92405f97/greenlet-3.2.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:20fb936b4652b6e307b8f347665e2c615540d4b42b3b4c8a321d8286da7e520f", size = 1151142, upload-time = "2025-08-07T13:18:22.981Z" },
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