diff --git a/examples/agent_examples.py b/examples/agent_examples.py index c01bd7b1..f445b532 100644 --- a/examples/agent_examples.py +++ b/examples/agent_examples.py @@ -28,12 +28,13 @@ async def run_agent_example(): # Create agent with loop and provider agent = ComputerAgent( computer=macos_computer, - loop=AgentLoop.OPENAI, + # loop=AgentLoop.OPENAI, # loop=AgentLoop.ANTHROPIC, - # loop=AgentLoop.OMNI, - model=LLM(provider=LLMProvider.OPENAI), # No model name for Operator CUA + loop=AgentLoop.OMNI, + # model=LLM(provider=LLMProvider.OPENAI), # No model name for Operator CUA # model=LLM(provider=LLMProvider.OPENAI, name="gpt-4.5-preview"), # model=LLM(provider=LLMProvider.ANTHROPIC, name="claude-3-7-sonnet-20250219"), + model=LLM(provider=LLMProvider.OLLAMA, name="qwen2.5:7b"), save_trajectory=True, only_n_most_recent_images=3, verbosity=logging.DEBUG, diff --git a/libs/agent/README.md b/libs/agent/README.md index 1fbb9ab3..c9bd5f42 100644 --- a/libs/agent/README.md +++ b/libs/agent/README.md @@ -31,7 +31,7 @@ pip install "cua-agent[all]" # or install specific loop providers pip install "cua-agent[openai]" # OpenAI Cua Loop pip install "cua-agent[anthropic]" # Anthropic Cua Loop -pip install "cua-agent[omni]" # Cua Loop based on OmniParser +pip install "cua-agent[omni]" # Cua Loop based on OmniParser (includes Ollama for local models) ``` ## Run diff --git a/libs/agent/agent/core/agent.py b/libs/agent/agent/core/agent.py index 372b5bf1..7b223447 100644 --- a/libs/agent/agent/core/agent.py +++ b/libs/agent/agent/core/agent.py @@ -86,7 +86,8 @@ class ComputerAgent: # Get API key from environment if not provided actual_api_key = api_key or os.environ.get(ENV_VARS[self.provider], "") - if not actual_api_key: + # Ollama is local and doesn't require an API key + if not actual_api_key and str(self.provider) != "ollama": raise ValueError(f"No API key provided for {self.provider}") # Create the appropriate loop using the factory diff --git a/libs/agent/agent/core/provider_config.py b/libs/agent/agent/core/provider_config.py index 68b69e2e..2c454112 100644 --- a/libs/agent/agent/core/provider_config.py +++ b/libs/agent/agent/core/provider_config.py @@ -6,7 +6,7 @@ from ..providers.omni.types import LLMProvider DEFAULT_MODELS = { LLMProvider.OPENAI: "gpt-4o", LLMProvider.ANTHROPIC: "claude-3-7-sonnet-20250219", - LLMProvider.OLLAMA: "gemma3:4b-it-q4_K_M", + LLMProvider.OLLAMA: "qwen2.5:7b", } # Map providers to their environment variable names diff --git a/libs/agent/agent/providers/omni/clients/base.py b/libs/agent/agent/providers/omni/clients/base.py index 77f2c69d..787e1250 100644 --- a/libs/agent/agent/providers/omni/clients/base.py +++ b/libs/agent/agent/providers/omni/clients/base.py @@ -1,43 +1,34 @@ """Base client implementation for Omni providers.""" -import os import logging from typing import Dict, List, Optional, Any, Tuple -import aiohttp -import json logger = logging.getLogger(__name__) + class BaseOmniClient: """Base class for provider-specific clients.""" - - def __init__( - self, - api_key: Optional[str] = None, - model: Optional[str] = None - ): + + def __init__(self, api_key: Optional[str] = None, model: Optional[str] = None): """Initialize base client. - + Args: api_key: Optional API key model: Optional model name """ self.api_key = api_key self.model = model - + async def run_interleaved( - self, - messages: List[Dict[str, Any]], - system: str, - max_tokens: Optional[int] = None + self, messages: List[Dict[str, Any]], system: str, max_tokens: Optional[int] = None ) -> Dict[str, Any]: """Run interleaved chat completion. - + Args: messages: List of message dicts system: System prompt max_tokens: Optional max tokens override - + Returns: Response dict """ diff --git a/libs/agent/agent/providers/omni/clients/ollama.py b/libs/agent/agent/providers/omni/clients/ollama.py index f33cc769..4fc6fc77 100644 --- a/libs/agent/agent/providers/omni/clients/ollama.py +++ b/libs/agent/agent/providers/omni/clients/ollama.py @@ -20,7 +20,7 @@ class OllamaClient(BaseOmniClient): Args: api_key: Not used - model: Ollama model name (e.g. "gemma3:4b-it-q4_K_M") + model: Ollama model name (e.g. "qwen2.5:7b") max_retries: Maximum number of retries for API calls retry_delay: Base delay between retries in seconds """ @@ -43,10 +43,10 @@ class OllamaClient(BaseOmniClient): Returns: Messages in Ollama format """ - Ollama_messages = [] + ollama_messages = [] # Add system message - Ollama_messages.append( + ollama_messages.append( { "role": "system", "content": system, @@ -62,17 +62,17 @@ class OllamaClient(BaseOmniClient): isText = content.get("type", "") == "text" if isText: data = content.get("text", "") - Ollama_messages.append({"role": message["role"], "content": data}) + ollama_messages.append({"role": message["role"], "content": data}) if isImage: data = content.get("image_url", {}).get("url", "") # remove header data = data.removeprefix("data:image/png;base64,") - Ollama_messages.append( + ollama_messages.append( {"role": message["role"], "content": "Use this image", "images": [data]} ) # Cast the list to the correct type expected by Ollama - return cast(List[Any], Ollama_messages) + return cast(List[Any], ollama_messages) async def run_interleaved( self, messages: List[Dict[str, Any]], system: str, max_tokens: int @@ -92,14 +92,14 @@ class OllamaClient(BaseOmniClient): for attempt in range(self.max_retries): try: # Convert messages to Ollama format - Ollama_messages = self._convert_message_format(system, messages) + ollama_messages = self._convert_message_format(system, messages) response = await self.client.chat( model=self.model, options=Options( temperature=0, ), - messages=Ollama_messages, + messages=ollama_messages, format="json", ) diff --git a/libs/agent/agent/providers/omni/clients/openai.py b/libs/agent/agent/providers/omni/clients/openai.py index 83ebc18c..ff41a9d9 100644 --- a/libs/agent/agent/providers/omni/clients/openai.py +++ b/libs/agent/agent/providers/omni/clients/openai.py @@ -4,11 +4,7 @@ import os import logging from typing import Dict, List, Optional, Any import aiohttp -import base64 import re -import json -import ssl -import certifi from datetime import datetime from .base import BaseOmniClient diff --git a/libs/agent/agent/providers/omni/types.py b/libs/agent/agent/providers/omni/types.py index c0d9837b..764528da 100644 --- a/libs/agent/agent/providers/omni/types.py +++ b/libs/agent/agent/providers/omni/types.py @@ -36,7 +36,7 @@ Model = LLM PROVIDER_TO_DEFAULT_MODEL: Dict[LLMProvider, str] = { LLMProvider.ANTHROPIC: "claude-3-7-sonnet-20250219", LLMProvider.OPENAI: "gpt-4o", - LLMProvider.OLLAMA: "gemma3:4b-it-q4_K_M", + LLMProvider.OLLAMA: "qwen2.5:7b", } # Environment variable names for each provider diff --git a/libs/agent/pdm.lock b/libs/agent/pdm.lock new file mode 100644 index 00000000..730dc2f2 --- /dev/null +++ b/libs/agent/pdm.lock 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