From f94e8c492bf69715ca176e60aaecda4b96f66383 Mon Sep 17 00:00:00 2001 From: f-trycua Date: Wed, 8 Oct 2025 23:57:04 -0700 Subject: [PATCH 01/10] Add CuaAgentMiddleware for Cua integration --- python/packages/cua/LICENSE | 21 + python/packages/cua/README.md | 185 + .../cua/agent_framework_cua/__init__.py | 58 + .../cua/agent_framework_cua/_middleware.py | 341 ++ .../cua/agent_framework_cua/_types.py | 68 + python/packages/cua/examples/README.md | 107 + python/packages/cua/examples/__init__.py | 3 + python/packages/cua/examples/basic_example.py | 50 + .../cua/examples/composite_agent_example.py | 46 + python/packages/cua/pyproject.toml | 94 + python/packages/cua/tests/test_middleware.py | 21 + python/pyproject.toml | 2 + python/uv.lock | 4877 ++++++++++++----- 13 files changed, 4425 insertions(+), 1448 deletions(-) create mode 100644 python/packages/cua/LICENSE create mode 100644 python/packages/cua/README.md create mode 100644 python/packages/cua/agent_framework_cua/__init__.py create mode 100644 python/packages/cua/agent_framework_cua/_middleware.py create mode 100644 python/packages/cua/agent_framework_cua/_types.py create mode 100644 python/packages/cua/examples/README.md create mode 100644 python/packages/cua/examples/__init__.py create mode 100644 python/packages/cua/examples/basic_example.py create mode 100644 python/packages/cua/examples/composite_agent_example.py create mode 100644 python/packages/cua/pyproject.toml create mode 100644 python/packages/cua/tests/test_middleware.py diff --git a/python/packages/cua/LICENSE b/python/packages/cua/LICENSE new file mode 100644 index 0000000000..9e841e7a26 --- /dev/null +++ b/python/packages/cua/LICENSE @@ -0,0 +1,21 @@ + MIT License + + Copyright (c) Microsoft Corporation. + + Permission is hereby granted, free of charge, to any person obtaining a copy + of this software and associated documentation files (the "Software"), to deal + in the Software without restriction, including without limitation the rights + to use, copy, modify, merge, publish, distribute, sublicense, and/or sell + copies of the Software, and to permit persons to whom the Software is + furnished to do so, subject to the following conditions: + + The above copyright notice and this permission notice shall be included in all + copies or substantial portions of the Software. + + THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR + IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, + FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE + AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER + LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, + OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE + SOFTWARE diff --git a/python/packages/cua/README.md b/python/packages/cua/README.md new file mode 100644 index 0000000000..1ecb6792f5 --- /dev/null +++ b/python/packages/cua/README.md @@ -0,0 +1,185 @@ +# Agent Framework - Cua Integration + +Computer use integration for Microsoft Agent Framework powered by [Cua](https://github.com/trycua/cua). + +## Overview + +This package provides seamless integration between Microsoft Agent Framework and Cua, enabling AI agents to control desktop applications across Windows, macOS, and Linux. + +### Key Features + +- **100+ Model Support**: OpenAI, Anthropic, OpenCUA, InternVL, UI-Tars, GLM, and more +- **Composite Agents**: Combine grounding + planning models (e.g., "ui-tars+gpt-4o") +- **Cross-Platform**: Windows Sandbox, macOS VMs, Linux Docker +- **Human-in-the-Loop**: Built-in approval workflows via Agent Framework middleware +- **Provider Agnostic**: Switch models with a single parameter change + +## Installation + +```bash +pip install agent-framework-cua + +# With all model support +pip install agent-framework-cua[all] +``` + +## Quick Start + +```python +import asyncio +from agent_framework import ChatAgent +from agent_framework.openai import OpenAIChatClient +from agent_framework_cua import CuaAgentMiddleware +from computer import Computer + +async def main(): + # Initialize Cua computer (local macOS VM) + async with Computer( + os_type="macos", + provider_type="lume" + ) as computer: + + # Create middleware with Anthropic Claude + cua_middleware = CuaAgentMiddleware( + computer=computer, + model="anthropic/claude-3-5-sonnet-20241022", + require_approval=True, + ) + + # Create Agent Framework agent with Cua middleware + # Note: chat_client is required but won't be used since + # CuaAgentMiddleware delegates all execution to Cua + dummy_client = OpenAIChatClient(model_id="gpt-4o-mini") + agent = ChatAgent( + chat_client=dummy_client, + middleware=[cua_middleware], + instructions="You are a desktop automation assistant.", + ) + + # Run agent + response = await agent.run( + "Open Safari and search for 'Python tutorials'" + ) + + print(response) + +if __name__ == "__main__": + asyncio.run(main()) +``` + +## Using Different Models + +### OpenAI Computer Use +```python +from agent_framework_cua import CuaAgentMiddleware + +cua_middleware = CuaAgentMiddleware( + computer=computer, + model="openai/gpt-4o", +) +``` + +### OpenCUA (Local Model) +```python +from agent_framework_cua import CuaAgentMiddleware + +cua_middleware = CuaAgentMiddleware( + computer=computer, + model="huggingface-local/ByteDance/OpenCUA-7B", + require_approval=False, # No approval for local models +) +``` + +### Composite Agent (Grounding + Planning) +```python +from agent_framework_cua import CuaAgentMiddleware + +# Combine UI-Tars (grounding) with GPT-4o (planning) +cua_middleware = CuaAgentMiddleware( + computer=computer, + model="huggingface-local/ByteDance-Seed/UI-TARS-1.5-7B+openai/gpt-4o", +) +``` + +## Configuration Options + +```python +CuaAgentMiddleware( + computer: Computer, # Cua Computer instance + model: str, # Model identifier (100+ supported) + max_trajectory_budget: float = 5.0, # Max cost budget + require_approval: bool = True, # Human approval required + approval_interval: int = 5, # Steps between approvals + stream: bool = True, # Stream responses +) +``` + +## Integration with Workflows + +```python +from agent_framework.workflows import Workflow, workflow + +@workflow +def automation_workflow(task: str) -> str: + # Step 1: Research with standard agent + research_agent = ChatAgent( + chat_client=OpenAIChatClient(), + instructions="Research the task", + ) + research = research_agent.run(task) + + # Step 2: Automation with Cua + automation_agent = ChatAgent( + middleware=[cua_middleware], + instructions="Execute based on research", + ) + result = automation_agent.run(research) + + return result +``` + +## VM Provider Options + +### macOS (Lume) +```python +computer = Computer(os_type="macos", provider_type="lume") +``` + +### Windows Sandbox +```python +computer = Computer(os_type="windows", provider_type="winsandbox") +``` + +### Docker (Linux) +```python +computer = Computer(os_type="linux", provider_type="docker") +``` + +### Cloud Sandbox +```python +computer = Computer( + os_type="linux", + provider_type="cloud", + name="your-sandbox-name", + api_key="your-api-key", +) +``` + +## Examples + +See the [examples](./examples/) directory for more usage patterns: +- Basic computer use +- Multi-model workflows +- Human-in-the-loop approval +- Composite agents +- Integration with Agent Framework workflows + +## Resources + +- [Cua Documentation](https://docs.trycua.com) +- [Cua GitHub](https://github.com/trycua/cua) +- [Agent Framework Documentation](https://learn.microsoft.com/agent-framework/) + +## License + +MIT License - see [LICENSE](./LICENSE) file for details. diff --git a/python/packages/cua/agent_framework_cua/__init__.py b/python/packages/cua/agent_framework_cua/__init__.py new file mode 100644 index 0000000000..39acf4652b --- /dev/null +++ b/python/packages/cua/agent_framework_cua/__init__.py @@ -0,0 +1,58 @@ +# Copyright (c) Microsoft. All rights reserved. + +"""Cua integration for Microsoft Agent Framework. + +This package provides seamless integration between Agent Framework and Cua, +enabling AI agents to control desktop applications across Windows, macOS, and Linux. + +Key Features: + - 100+ model support (OpenAI, Anthropic, OpenCUA, InternVL, UI-Tars, etc.) + - Composite agents (combine grounding + planning models) + - Cross-platform VM support + - Human-in-the-loop approval workflows + +Examples: + Basic usage with Anthropic Claude: + + >>> from agent_framework import ChatAgent + >>> from agent_framework_cua import CuaAgentMiddleware + >>> from computer import Computer + >>> + >>> async with Computer(os_type="macos", provider_type="lume") as computer: + ... middleware = CuaAgentMiddleware( + ... computer=computer, + ... model="anthropic/claude-3-5-sonnet-20241022", + ... ) + ... + ... agent = ChatAgent( + ... middleware=[middleware], + ... instructions="You are a desktop automation assistant.", + ... ) + ... + ... response = await agent.run("Open Safari") + + Using composite agents: + + >>> middleware = CuaAgentMiddleware( + ... computer=computer, + ... model="huggingface-local/UI-TARS+openai/gpt-4o", + ... ) +""" + +from ._middleware import CuaAgentMiddleware +from ._types import ( + CuaModelId, + CuaOSType, + CuaProviderType, + CuaResult, + CuaStep, +) + +__all__ = [ + "CuaAgentMiddleware", + "CuaModelId", + "CuaOSType", + "CuaProviderType", + "CuaResult", + "CuaStep", +] diff --git a/python/packages/cua/agent_framework_cua/_middleware.py b/python/packages/cua/agent_framework_cua/_middleware.py new file mode 100644 index 0000000000..3d49a9584a --- /dev/null +++ b/python/packages/cua/agent_framework_cua/_middleware.py @@ -0,0 +1,341 @@ +# Copyright (c) Microsoft. All rights reserved. + +"""Cua integration middleware for Agent Framework.""" + +from collections.abc import Awaitable, Callable +from typing import Any + +from agent_framework import ( + ChatMessage, + ChatMiddleware, + ChatResponse, + FunctionApprovalRequestContent, + FunctionApprovalResponseContent, +) +from agent_framework._middleware import ChatContext + +try: + from agent import ComputerAgent # type: ignore + from computer import Computer # type: ignore + + CUA_AVAILABLE = True +except ImportError: + CUA_AVAILABLE = False + ComputerAgent = Any # type: ignore + Computer = Any # type: ignore + +from ._types import CuaModelId, CuaResult, CuaStep + + +class CuaAgentMiddleware(ChatMiddleware): + """Middleware that delegates to Cua's ComputerAgent for model execution. + + This provides Agent Framework access to 100+ model configurations + (OpenCUA, InternVL, UI-Tars, GLM, etc.) and composite agents, + while maintaining Agent Framework's orchestration and human-in-the-loop. + + Architecture: + Agent Framework → CuaAgentMiddleware → Cua ComputerAgent + ↓ + Model + Computer Loop + ↓ + Results + ↓ + Agent Framework ← CuaAgentMiddleware ← Cua ComputerAgent + + Examples: + .. code-block:: python + + from agent_framework import ChatAgent + from agent_framework.cua import CuaAgentMiddleware + from computer import Computer + + async with Computer(os_type="macos", provider_type="lume") as computer: + middleware = CuaAgentMiddleware( + computer=computer, + model="anthropic/claude-3-5-sonnet-20241022", + ) + + agent = ChatAgent( + middleware=[middleware], + instructions="You are a desktop automation assistant.", + ) + + response = await agent.run("Open Safari and search for Python") + """ + + def __init__( + self, + computer: "Computer", + *, + model: CuaModelId = "anthropic/claude-3-5-sonnet-20241022", + max_trajectory_budget: float = 5.0, + require_approval: bool = True, + approval_interval: int = 5, + ) -> None: + """Initialize CuaAgentMiddleware. + + Args: + computer: Cua Computer instance for desktop automation + model: Model identifier (supports 100+ configs): + - "anthropic/claude-3-5-sonnet-20241022" + - "openai/gpt-4o" + - "huggingface-local/ByteDance/OpenCUA-7B" + - "huggingface-local/OpenGVLab/InternVL2-8B" + - Composite: "ui-model+planning-model" + max_trajectory_budget: Max cost budget for Cua agent loop + require_approval: Whether to require human approval + approval_interval: Steps between approval requests + """ + if not CUA_AVAILABLE: + raise ImportError("Cua packages not installed. Install with: pip install agent-framework-cua[all]") + + self.computer = computer + self.model = model + self.max_trajectory_budget = max_trajectory_budget + self.require_approval = require_approval + self.approval_interval = approval_interval + + # Create Cua ComputerAgent + self.cua_agent = ComputerAgent( + model=model, + tools=[computer], + max_trajectory_budget=max_trajectory_budget, + ) + + self._step_count = 0 + self._trajectory: list[CuaStep] = [] + + async def process( + self, + context: ChatContext, + next: Callable[[ChatContext], Awaitable[None]], + ) -> None: + """Process chat by delegating to Cua's ComputerAgent. + + Flow: + 1. Extract messages from Agent Framework context + 2. Check if approval needed (if steps >= approval_interval) + 3. If approved, call Cua agent with messages + 4. Cua handles entire model + computer execution loop + 5. Transform Cua results back to Agent Framework format + 6. Set context.result with ChatResponse + + Args: + context: Chat context containing messages and options + next: Function to call next middleware (not used - we override execution) + """ + # Check if we need approval before proceeding + if self.require_approval and self._should_request_approval(): + approved = await self._request_approval(context, next) + if not approved: + context.result = self._create_stopped_response("Computer use was not approved by user") + context.terminate = True + return + + # Extract messages from context + messages = self._extract_messages(context) + + # Delegate to Cua's ComputerAgent + # Cua handles: model call → parse response → execute computer actions → loop + try: + cua_result = await self._run_cua_complete(messages) + + # Update trajectory and step count + self._step_count += len(cua_result.get("steps", [])) + self._trajectory.extend(cua_result.get("steps", [])) + + # Transform to Agent Framework format and set result + context.result = self._transform_to_agent_framework(cua_result) + + except Exception as e: + context.result = self._create_error_response(str(e)) + + # Terminate execution - we've handled it + context.terminate = True + + def _extract_messages(self, context: ChatContext) -> list[dict[str, Any]]: + """Extract messages from Agent Framework context to Cua format.""" + messages = [] + + for msg in context.messages: + # Convert Agent Framework ChatMessage to Cua format + cua_msg: dict[str, Any] = { + "role": msg.role.value if hasattr(msg.role, "value") else str(msg.role), + } + + # Handle different content types - use msg.text or msg.contents + if hasattr(msg, "text") and msg.text: + cua_msg["content"] = msg.text + elif hasattr(msg, "contents") and msg.contents: + if len(msg.contents) == 1 and hasattr(msg.contents[0], "text"): + cua_msg["content"] = msg.contents[0].text + else: + cua_msg["content"] = [self._convert_content_block(block) for block in msg.contents] + else: + cua_msg["content"] = "" + + messages.append(cua_msg) + + return messages + + async def _run_cua_complete(self, messages: list[dict[str, Any]]) -> CuaResult: + """Run Cua agent to completion. + + Cua's agent.run() handles: + - Model inference + - Response parsing (provider-agnostic) + - Computer action execution + - Multi-step loops until task complete + """ + results: list[dict[str, Any]] = [] + + async for result in self.cua_agent.run(messages): + results.append(result) + + # Return final result + return results[-1] if results else {} + + def _should_request_approval(self) -> bool: + """Check if we should request approval before continuing.""" + return self.require_approval and self._step_count > 0 and self._step_count % self.approval_interval == 0 + + async def _request_approval( + self, + context: ChatContext, + next: Callable[[ChatContext], Awaitable[None]], + ) -> bool: + """Request human approval to continue computer use. + + Uses Agent Framework's FunctionApprovalRequestContent pattern. + """ + # Create approval request + approval_msg = ChatMessage( + role="assistant", + content=FunctionApprovalRequestContent( + function_name="computer_use_continuation", + arguments={ + "steps_completed": self._step_count, + "trajectory": self._get_trajectory_summary(), + }, + description=(f"Computer use has completed {self._step_count} steps. Approve to continue?"), + ), + ) + + # Add to context and get user response + context.messages.append(approval_msg) + await next(context) + + # Parse approval response from context.result + if context.result and isinstance(context.result, ChatResponse): + for msg in context.result.messages: + for content in msg.contents: + if isinstance(content, FunctionApprovalResponseContent): + return content.approved + + # Default: don't proceed without explicit approval + return False + + def _transform_to_agent_framework(self, cua_result: CuaResult) -> ChatResponse: + """Transform Cua agent result to Agent Framework ChatResponse. + + Cua result format: + { + 'output': [ + {'type': 'message', 'content': [{'text': '...'}]}, + {'type': 'screenshot', 'data': b'...'}, + ], + 'steps': [...], + 'usage': {'total_tokens': 1234, 'cost': 0.05}, + } + """ + messages: list[ChatMessage] = [] + + # Extract output from Cua result + for item in cua_result.get("output", []): + if item.get("type") == "message": + # Text message from model + content = item.get("content", []) + if isinstance(content, list) and len(content) > 0: + text = content[0].get("text", "") if isinstance(content[0], dict) else str(content[0]) + else: + text = str(content) + + messages.append( + ChatMessage( + role="assistant", + text=text, + ) + ) + + elif item.get("type") == "error": + # Error during execution + messages.append( + ChatMessage( + role="tool", + text=f"Error: {item.get('message', 'Unknown error')}", + ) + ) + + # If no messages, add a default response + if not messages: + messages.append(ChatMessage(role="assistant", text="Task completed.")) + + # Create response + return ChatResponse( + messages=messages, + usage_details=cua_result.get("usage"), + additional_properties={ + "cua_steps": len(cua_result.get("steps", [])), + "cua_model": self.model, + }, + ) + + def _get_trajectory_summary(self) -> list[dict[str, Any]]: + """Get summary of execution trajectory for approval.""" + return [ + { + "step": i, + "action": step.get("action", "unknown"), + "result": step.get("result", "unknown"), + } + for i, step in enumerate(self._trajectory[-5:]) # Last 5 steps + ] + + def _convert_content_block(self, block: Any) -> dict[str, Any]: + """Convert Agent Framework content block to Cua format.""" + if isinstance(block, dict): + # Handle different content types + if block.get("type") == "text": + return {"type": "text", "text": block.get("text", "")} + if block.get("type") == "image": + return {"type": "image", "source": block.get("source")} + return block + # If it's an object with attributes + if hasattr(block, "text"): + return {"type": "text", "text": block.text} + return {"type": "text", "text": str(block)} + + def _create_stopped_response(self, reason: str) -> ChatResponse: + """Create response when execution is stopped.""" + return ChatResponse( + messages=[ + ChatMessage( + role="assistant", + text=f"Computer use stopped: {reason}", + ) + ], + additional_properties={"stopped": True, "reason": reason}, + ) + + def _create_error_response(self, error: str) -> ChatResponse: + """Create error response.""" + return ChatResponse( + messages=[ + ChatMessage( + role="assistant", + text=f"Error during computer use: {error}", + ) + ], + additional_properties={"error": True, "message": error}, + ) diff --git a/python/packages/cua/agent_framework_cua/_types.py b/python/packages/cua/agent_framework_cua/_types.py new file mode 100644 index 0000000000..6fa0a17281 --- /dev/null +++ b/python/packages/cua/agent_framework_cua/_types.py @@ -0,0 +1,68 @@ +# Copyright (c) Microsoft. All rights reserved. + +"""Type definitions for Cua integration.""" + +from typing import Any, Literal, TypedDict + + +class CuaStep(TypedDict, total=False): + """Represents a single step in Cua agent execution.""" + + step: int + action: dict[str, Any] + result: dict[str, Any] + success: bool + error: str | None + + +class CuaResult(TypedDict, total=False): + """Result from Cua agent execution.""" + + output: list[dict[str, Any]] + steps: list[CuaStep] + usage: dict[str, Any] + stopped: bool + reason: str | None + + +CuaModelId = str +""" +Model identifier for Cua agent. + +Supports 100+ model configurations: +- OpenAI: "openai/gpt-4o", "openai/gpt-4o-mini" +- Anthropic: "anthropic/claude-3-5-sonnet-20241022" +- OpenCUA: "huggingface-local/ByteDance/OpenCUA-7B" +- InternVL: "huggingface-local/OpenGVLab/InternVL2-8B" +- UI-Tars: "huggingface-local/ByteDance-Seed/UI-TARS-1.5-7B" +- GLM: "huggingface-local/THUDM/glm-4v-9b" +- Composite: "grounding_model+planning_model" + +Examples: + >>> model = "anthropic/claude-3-5-sonnet-20241022" + >>> model = "openai/gpt-4o" + >>> model = "huggingface-local/ByteDance/OpenCUA-7B+openai/gpt-4o" +""" + +CuaProviderType = Literal["lume", "docker", "cloud", "lumier", "winsandbox"] +""" +VM provider type for Cua computer. + +- lume: Native macOS/Linux VMs (high performance) +- docker: Docker containers (cross-platform) +- cloud: Cloud sandbox (managed service) +- lumier: Docker-based Lume interface +- winsandbox: Windows Sandbox +""" + +CuaOSType = Literal["macos", "linux", "windows"] +"""Operating system type for Cua computer.""" + + +__all__ = [ + "CuaModelId", + "CuaOSType", + "CuaProviderType", + "CuaResult", + "CuaStep", +] diff --git a/python/packages/cua/examples/README.md b/python/packages/cua/examples/README.md new file mode 100644 index 0000000000..4264c9b9cd --- /dev/null +++ b/python/packages/cua/examples/README.md @@ -0,0 +1,107 @@ +# Cua Integration Examples + +Examples demonstrating how to use Cua with Agent Framework. + +## Prerequisites + +```bash +# Install cua packages +pip install cua-agent[all] cua-computer + +# Install agent-framework-cua +pip install agent-framework-cua[all] +``` + +## Examples + +### 1. Basic Example (`basic_example.py`) + +Shows basic usage with Anthropic Claude on a local macOS VM: + +```bash +python examples/basic_example.py +``` + +Features: +- Human-in-the-loop approval +- Anthropic Claude model +- macOS Lume VM provider + +### 2. Composite Agent Example (`composite_agent_example.py`) + +Demonstrates composite agents combining grounding + planning models: + +```bash +python examples/composite_agent_example.py +``` + +Features: +- UI-Tars for UI grounding +- GPT-4o for high-level planning +- Automatic coordination between models + +## Model Options + +### Cloud Models +```python +model="anthropic/claude-3-5-sonnet-20241022" +model="openai/gpt-4o" +model="openai/gpt-4o-mini" +``` + +### Local Models +```python +model="huggingface-local/ByteDance/OpenCUA-7B" +model="huggingface-local/OpenGVLab/InternVL2-8B" +model="huggingface-local/THUDM/glm-4v-9b" +``` + +### Composite Models +```python +model="huggingface-local/UI-TARS+openai/gpt-4o" +model="huggingface-local/InternVL+anthropic/claude-3-5-sonnet" +``` + +## VM Provider Options + +### macOS (Lume) +```python +Computer(os_type="macos", provider_type="lume") +``` + +### Windows Sandbox +```python +Computer(os_type="windows", provider_type="winsandbox") +``` + +### Docker (Linux) +```python +Computer(os_type="linux", provider_type="docker") +``` + +### Cloud Sandbox +```python +Computer( + os_type="linux", + provider_type="cloud", + name="your-sandbox", + api_key="your-api-key", +) +``` + +## Configuration Options + +```python +CuaAgentMiddleware( + computer=computer, + model="anthropic/claude-3-5-sonnet-20241022", + max_trajectory_budget=5.0, # Max cost budget + require_approval=True, # Require human approval + approval_interval=5, # Steps between approvals +) +``` + +## More Information + +- [Cua Documentation](https://docs.trycua.com) +- [Agent Framework Documentation](https://learn.microsoft.com/agent-framework/) diff --git a/python/packages/cua/examples/__init__.py b/python/packages/cua/examples/__init__.py new file mode 100644 index 0000000000..e8da839f76 --- /dev/null +++ b/python/packages/cua/examples/__init__.py @@ -0,0 +1,3 @@ +# Copyright (c) Microsoft. All rights reserved. + +"""Examples for using CuaAgentMiddleware with Agent Framework.""" diff --git a/python/packages/cua/examples/basic_example.py b/python/packages/cua/examples/basic_example.py new file mode 100644 index 0000000000..af483a8992 --- /dev/null +++ b/python/packages/cua/examples/basic_example.py @@ -0,0 +1,50 @@ +# Copyright (c) Microsoft. All rights reserved. + +"""Basic example of using CuaAgentMiddleware with Agent Framework.""" + +import asyncio +import logging + +from agent_framework import ChatAgent +from agent_framework.openai import OpenAIChatClient +from computer import Computer + +from agent_framework_cua import CuaAgentMiddleware + +logger = logging.getLogger(__name__) + + +async def main(): + """Run a basic computer use example with Claude.""" + # Initialize Cua computer (Linux Docker container) + async with Computer(os_type="linux", provider_type="docker") as computer: + # Create middleware with Anthropic Claude + # Note: The middleware delegates to Cua's agent, so the model is specified here + cua_middleware = CuaAgentMiddleware( + computer=computer, + model="anthropic/claude-sonnet-4-5-20250929", + require_approval=True, + approval_interval=5, + ) + + # Create Agent Framework agent with Cua middleware + # Note: chat_client is required by ChatAgent but won't be used because + # CuaAgentMiddleware terminates execution and delegates everything to Cua + # Pass a dummy API key since it won't be called + dummy_client = OpenAIChatClient(model_id="gpt-4o-mini", api_key="dummy-not-used") + agent = ChatAgent( + chat_client=dummy_client, + middleware=[cua_middleware], + instructions="You are a desktop automation assistant. Be precise and careful.", + ) + + # Run agent + logger.info("🤖 Starting agent...") + response = await agent.run("Open Firefox and search for 'Python tutorials'") + + logger.info("📥 Response: %s", response) + + +if __name__ == "__main__": + logging.basicConfig(level=logging.INFO) + asyncio.run(main()) diff --git a/python/packages/cua/examples/composite_agent_example.py b/python/packages/cua/examples/composite_agent_example.py new file mode 100644 index 0000000000..a13e8725d8 --- /dev/null +++ b/python/packages/cua/examples/composite_agent_example.py @@ -0,0 +1,46 @@ +# Copyright (c) Microsoft. All rights reserved. + +"""Example of using composite agents (grounding + planning models).""" + +import asyncio +import logging + +from agent_framework import ChatAgent +from agent_framework.openai import OpenAIChatClient +from computer import Computer + +from agent_framework_cua import CuaAgentMiddleware + +logger = logging.getLogger(__name__) + + +async def main(): + """Run a composite agent example combining UI-Tars for grounding and GPT-4o for planning.""" + async with Computer(os_type="macos", provider_type="lume") as computer: + # Create middleware with composite agent + cua_middleware = CuaAgentMiddleware( + computer=computer, + model="huggingface-local/ByteDance-Seed/UI-TARS-1.5-7B+openai/gpt-4o", + require_approval=False, # Disable approval for demo + ) + + # Note: chat_client is required but won't be used + dummy_client = OpenAIChatClient(model_id="gpt-4o-mini", api_key="dummy-not-used") + agent = ChatAgent( + chat_client=dummy_client, + middleware=[cua_middleware], + instructions=( + "You are a desktop automation assistant. " + "Use UI-Tars for precise UI element detection and GPT-4o for planning." + ), + ) + + logger.info("🤖 Starting composite agent...") + response = await agent.run("Open the Calculator app and compute 15 * 23") + + logger.info("📥 Response: %s", response) + + +if __name__ == "__main__": + logging.basicConfig(level=logging.INFO) + asyncio.run(main()) diff --git a/python/packages/cua/pyproject.toml b/python/packages/cua/pyproject.toml new file mode 100644 index 0000000000..46d4a98138 --- /dev/null +++ b/python/packages/cua/pyproject.toml @@ -0,0 +1,94 @@ +[project] +name = "agent-framework-cua" +description = "Cua integration for Microsoft Agent Framework - Computer use capabilities." +authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}] +readme = "README.md" +requires-python = ">=3.12" +version = "1.0.0b251007" +license-files = ["LICENSE"] +urls.homepage = "https://aka.ms/agent-framework" +urls.source = "https://github.com/microsoft/agent-framework/tree/main/python" +urls.release_notes = "https://github.com/microsoft/agent-framework/releases?q=tag%3Apython-1&expanded=true" +urls.issues = "https://github.com/microsoft/agent-framework/issues" +classifiers = [ + "License :: OSI Approved :: MIT License", + "Development Status :: 4 - Beta", + "Intended Audience :: Developers", + "Programming Language :: Python :: 3", + "Programming Language :: Python :: 3.12", + "Programming Language :: Python :: 3.13", + "Typing :: Typed", +] +dependencies = [ + "agent-framework-core", + "cua-agent>=0.4.0", + "cua-computer>=0.4.0", +] + +[project.optional-dependencies] +all = [ + "cua-agent[all]>=0.4.0", +] + +[tool.uv] +prerelease = "if-necessary-or-explicit" +environments = [ + "sys_platform == 'darwin'", + "sys_platform == 'linux'", + "sys_platform == 'win32'" +] + +[tool.uv-dynamic-versioning] +fallback-version = "0.0.0" + +[tool.pytest.ini_options] +testpaths = 'tests' +addopts = "-ra -q -r fEX" +asyncio_mode = "auto" +asyncio_default_fixture_loop_scope = "function" +filterwarnings = [] +timeout = 120 + +[tool.ruff] +extend = "../../pyproject.toml" + +[tool.coverage.run] +omit = [ + "**/__init__.py" +] + +[tool.pyright] +extend = "../../pyproject.toml" +exclude = ['tests'] + +[tool.mypy] +plugins = ['pydantic.mypy'] +strict = true +python_version = "3.10" +ignore_missing_imports = true +disallow_untyped_defs = true +no_implicit_optional = true +check_untyped_defs = true +warn_return_any = true +show_error_codes = true +warn_unused_ignores = false +disallow_incomplete_defs = true +disallow_untyped_decorators = true + +[tool.bandit] +targets = ["agent_framework_cua"] +exclude_dirs = ["tests"] + +[tool.poe] +executor.type = "uv" +include = "../../shared_tasks.toml" +[tool.poe.tasks] +mypy = "mypy --config-file $POE_ROOT/pyproject.toml agent_framework_cua" +test = "pytest --cov=agent_framework_cua --cov-report=term-missing:skip-covered tests" + +[tool.flit.module] +name = "agent_framework_cua" + +[build-system] +requires = ["flit-core >= 3.11,<4.0"] +build-backend = "flit_core.buildapi" diff --git a/python/packages/cua/tests/test_middleware.py b/python/packages/cua/tests/test_middleware.py new file mode 100644 index 0000000000..0078a70a62 --- /dev/null +++ b/python/packages/cua/tests/test_middleware.py @@ -0,0 +1,21 @@ +# Copyright (c) Microsoft. All rights reserved. + +"""Tests for CuaAgentMiddleware.""" + +from agent_framework_cua import CuaAgentMiddleware + + +def test_middleware_import(): + """Test that CuaAgentMiddleware can be imported.""" + assert CuaAgentMiddleware is not None + + +def test_middleware_requires_computer(): + """Test that creating middleware without cua packages raises ImportError.""" + # This test assumes cua packages are installed + # In a real scenario without cua packages, this would raise ImportError + pass + + +# TODO: Add more comprehensive tests once we can mock Computer and ComputerAgent +# For now, the integration tests with real Cua instances would be in a separate test suite diff --git a/python/pyproject.toml b/python/pyproject.toml index 92a7d525ed..a993e94447 100644 --- a/python/pyproject.toml +++ b/python/pyproject.toml @@ -36,6 +36,7 @@ dependencies = [ "agent-framework-mem0", "agent-framework-purview", "agent-framework-redis", + "agent-framework-cua", ] [dependency-groups] @@ -103,6 +104,7 @@ agent-framework-redis = { workspace = true } agent-framework-devui = { workspace = true } agent-framework-purview = { workspace = true } agent-framework-anthropic = { workspace = true } +agent-framework-cua = { workspace = true } [tool.ruff] line-length = 120 diff --git a/python/uv.lock b/python/uv.lock index 0e7cce14db..b46962f898 100644 --- a/python/uv.lock +++ b/python/uv.lock @@ -1,19 +1,15 @@ version = 1 revision = 3 -requires-python = ">=3.10" +requires-python = ">=3.12" resolution-markers = [ "python_full_version >= '3.13' and sys_platform == 'darwin'", - "python_full_version == '3.12.*' and sys_platform == 'darwin'", - "python_full_version == '3.11.*' and sys_platform == 'darwin'", - "python_full_version < '3.11' and sys_platform == 'darwin'", - "python_full_version >= '3.13' and sys_platform == 'linux'", - "python_full_version == '3.12.*' and sys_platform == 'linux'", - "python_full_version == '3.11.*' and sys_platform == 'linux'", - "python_full_version < '3.11' and sys_platform == 'linux'", + "python_full_version < '3.13' and sys_platform == 'darwin'", + "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform == 'linux'", + "python_full_version >= '3.13' and platform_machine != 'aarch64' and sys_platform == 'linux'", + "python_full_version < '3.13' and platform_machine == 'aarch64' and sys_platform == 'linux'", + "python_full_version < '3.13' and platform_machine != 'aarch64' and sys_platform == 'linux'", "python_full_version >= '3.13' and sys_platform == 'win32'", - "python_full_version == '3.12.*' and sys_platform == 'win32'", - "python_full_version == '3.11.*' and sys_platform == 'win32'", - "python_full_version < '3.11' and sys_platform == 'win32'", + "python_full_version < '3.13' and sys_platform == 'win32'", ] supported-markers = [ "sys_platform == 'darwin'", @@ -32,6 +28,7 @@ members = [ "agent-framework-chatkit", "agent-framework-copilotstudio", "agent-framework-core", + "agent-framework-cua", "agent-framework-devui", "agent-framework-lab", "agent-framework-mem0", @@ -59,6 +56,24 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/57/d3/a353a8fd94addd8e7ab649f8fe45713ec6f963fcdf6b8fe29cdf902b592f/a2a_sdk-0.3.14-py3-none-any.whl", hash = "sha256:0df8c596a83e2fccf0ed335592125931fec1bcc974c442ed52f848defd0d9e8e", size = 140734, upload-time = "2025-11-18T08:59:06.743Z" }, ] +[[package]] +name = "accelerate" +version = "1.11.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "huggingface-hub", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "numpy", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "packaging", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "psutil", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = 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+108,7 @@ dependencies = [ { name = "agent-framework-chatkit", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "agent-framework-copilotstudio", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "agent-framework-cua", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "agent-framework-devui", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "agent-framework-lab", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "agent-framework-mem0", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, @@ -138,6 +154,7 @@ requires-dist = [ { name = "agent-framework-chatkit", editable = "packages/chatkit" }, { name = "agent-framework-copilotstudio", editable = "packages/copilotstudio" }, { name = "agent-framework-core", editable = "packages/core" }, + { name = "agent-framework-cua", editable = "packages/cua" }, { name = "agent-framework-devui", editable = "packages/devui" }, { name = "agent-framework-lab", editable = "packages/lab" }, { name = "agent-framework-mem0", editable = "packages/mem0" }, @@ -355,6 +372,30 @@ requires-dist = [ ] provides-extras = ["all"] +[[package]] +name = "agent-framework-cua" +version = "1.0.0b251007" +source = { editable = "packages/cua" } +dependencies = [ + { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "cua-agent", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "cua-computer", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, +] + 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a/python/packages/cua/examples/basic_example.py b/python/packages/cua/examples/basic_example.py index af483a8992..b3f280153c 100644 --- a/python/packages/cua/examples/basic_example.py +++ b/python/packages/cua/examples/basic_example.py @@ -28,9 +28,8 @@ async def main(): ) # Create Agent Framework agent with Cua middleware - # Note: chat_client is required by ChatAgent but won't be used because - # CuaAgentMiddleware terminates execution and delegates everything to Cua - # Pass a dummy API key since it won't be called + # Note: chat_client and instructions are required by ChatAgent but won't be used. + # CuaAgentMiddleware terminates execution and delegates everything to Cua's ComputerAgent. dummy_client = OpenAIChatClient(model_id="gpt-4o-mini", api_key="dummy-not-used") agent = ChatAgent( chat_client=dummy_client, diff --git a/python/packages/cua/examples/composite_agent_example.py b/python/packages/cua/examples/composite_agent_example.py index a13e8725d8..336c014abd 100644 --- a/python/packages/cua/examples/composite_agent_example.py +++ b/python/packages/cua/examples/composite_agent_example.py @@ -24,7 +24,8 @@ async def main(): require_approval=False, # Disable approval for demo ) - # Note: chat_client is required but won't be used + # Note: chat_client and instructions are required by ChatAgent but won't be used. + # CuaAgentMiddleware terminates execution and delegates everything to Cua's ComputerAgent. dummy_client = OpenAIChatClient(model_id="gpt-4o-mini", api_key="dummy-not-used") agent = ChatAgent( chat_client=dummy_client, From 6593aae2f306ddb2a72e4ec37f0f51740ce6ee3f Mon Sep 17 00:00:00 2001 From: f-trycua Date: Fri, 17 Oct 2025 00:08:27 -0700 Subject: [PATCH 03/10] Address PR feedback and restructure Cua integration samples --- python/packages/cua/README.md | 187 ++++++++++++++---- .../cua/agent_framework_cua/__init__.py | 12 -- .../cua/agent_framework_cua/_middleware.py | 2 +- python/packages/cua/examples/README.md | 107 ---------- python/packages/cua/examples/__init__.py | 3 - python/samples/getting_started/cua/README.md | 93 +++++++++ .../cua/basic_example/README.md | 54 +++++ .../cua/basic_example/__init__.py | 1 + .../cua/basic_example/main.py} | 0 .../cua/composite_agent/README.md | 51 +++++ .../cua/composite_agent/__init__.py | 1 + .../cua/composite_agent/main.py} | 0 .../cua/workflow_orchestration/README.md | 95 +++++++++ .../cua/workflow_orchestration/__init__.py | 1 + .../cua/workflow_orchestration/main.py | 89 +++++++++ 15 files changed, 533 insertions(+), 163 deletions(-) delete mode 100644 python/packages/cua/examples/README.md delete mode 100644 python/packages/cua/examples/__init__.py create mode 100644 python/samples/getting_started/cua/README.md create mode 100644 python/samples/getting_started/cua/basic_example/README.md create mode 100644 python/samples/getting_started/cua/basic_example/__init__.py rename python/{packages/cua/examples/basic_example.py => samples/getting_started/cua/basic_example/main.py} (100%) create mode 100644 python/samples/getting_started/cua/composite_agent/README.md create mode 100644 python/samples/getting_started/cua/composite_agent/__init__.py rename python/{packages/cua/examples/composite_agent_example.py => samples/getting_started/cua/composite_agent/main.py} (100%) create mode 100644 python/samples/getting_started/cua/workflow_orchestration/README.md create mode 100644 python/samples/getting_started/cua/workflow_orchestration/__init__.py create mode 100644 python/samples/getting_started/cua/workflow_orchestration/main.py diff --git a/python/packages/cua/README.md b/python/packages/cua/README.md index 1ecb6792f5..aa9481c467 100644 --- a/python/packages/cua/README.md +++ b/python/packages/cua/README.md @@ -2,10 +2,15 @@ Computer use integration for Microsoft Agent Framework powered by [Cua](https://github.com/trycua/cua). +> [!IMPORTANT] +> **Experimental Feature**: This integration is experimental and **not recommended for production use**. It is designed for development, testing, and exploration of computer-use capabilities. For production deployments, thoroughly evaluate security, reliability, and specific requirements for your use case. + ## Overview This package provides seamless integration between Microsoft Agent Framework and Cua, enabling AI agents to control desktop applications across Windows, macOS, and Linux. +`CuaAgentMiddleware` wraps Cua's `ComputerAgent`, which handles the complete agent loop (model inference → parsing → computer actions → multi-step execution). Learn more about [Cua Agent Loops](https://docs.cua.ai/docs/agent-sdk/agent-loops). + ### Key Features - **100+ Model Support**: OpenAI, Anthropic, OpenCUA, InternVL, UI-Tars, GLM, and more @@ -18,11 +23,29 @@ This package provides seamless integration between Microsoft Agent Framework and ```bash pip install agent-framework-cua +``` + +## Configuration + +Set API keys for the models you plan to use. Cua delegates to the underlying model providers: + +```bash +# For Anthropic models (Claude) +export ANTHROPIC_API_KEY="your-anthropic-key" + +# For OpenAI models (GPT-4o, GPT-4o-mini) +export OPENAI_API_KEY="your-openai-key" -# With all model support -pip install agent-framework-cua[all] +# For Azure OpenAI +export AZURE_API_KEY="your-azure-key" +export AZURE_API_BASE="https://your-resource.openai.azure.com" +export AZURE_API_VERSION="2024-02-01" ``` +**Notes:** +- Only set keys for the models you'll actually use. For example, if using `model="anthropic/claude-sonnet-4-5-20250929"`, you only need `ANTHROPIC_API_KEY`. +- Local models (e.g., `huggingface-local/ByteDance/OpenCUA-7B`) don't require API keys. + ## Quick Start ```python @@ -33,23 +56,23 @@ from agent_framework_cua import CuaAgentMiddleware from computer import Computer async def main(): - # Initialize Cua computer (local macOS VM) + # Initialize Cua computer (Linux Docker - cross-platform) async with Computer( - os_type="macos", - provider_type="lume" + os_type="linux", + provider_type="docker" ) as computer: # Create middleware with Anthropic Claude cua_middleware = CuaAgentMiddleware( computer=computer, - model="anthropic/claude-3-5-sonnet-20241022", + model="anthropic/claude-sonnet-4-5-20250929", require_approval=True, ) # Create Agent Framework agent with Cua middleware - # Note: chat_client is required but won't be used since - # CuaAgentMiddleware delegates all execution to Cua - dummy_client = OpenAIChatClient(model_id="gpt-4o-mini") + # Note: chat_client and instructions are required but won't be used. + # CuaAgentMiddleware terminates execution and delegates to Cua's ComputerAgent. + dummy_client = OpenAIChatClient(model_id="gpt-4o-mini", api_key="dummy-not-used") agent = ChatAgent( chat_client=dummy_client, middleware=[cua_middleware], @@ -58,7 +81,7 @@ async def main(): # Run agent response = await agent.run( - "Open Safari and search for 'Python tutorials'" + "Open Firefox and search for 'Python tutorials'" ) print(response) @@ -116,67 +139,151 @@ CuaAgentMiddleware( ## Integration with Workflows -```python -from agent_framework.workflows import Workflow, workflow +Agent Framework provides orchestration while Cua handles execution: -@workflow -def automation_workflow(task: str) -> str: - # Step 1: Research with standard agent +```python +async def multi_agent_workflow(task: str) -> str: + # Step 1: Research Agent (Pure Agent Framework) research_agent = ChatAgent( - chat_client=OpenAIChatClient(), - instructions="Research the task", + chat_client=OpenAIChatClient(model_id="gpt-4o-mini"), + instructions="Create a detailed automation plan", ) - research = research_agent.run(task) + plan = await research_agent.run(f"Create plan for: {task}") - # Step 2: Automation with Cua - automation_agent = ChatAgent( - middleware=[cua_middleware], - instructions="Execute based on research", - ) - result = automation_agent.run(research) + # Step 2: Cua Automation (Agent Framework + Cua) + async with Computer(os_type="linux", provider_type="docker") as computer: + cua_middleware = CuaAgentMiddleware( + computer=computer, + model="anthropic/claude-sonnet-4-5-20250929", + require_approval=True, # Agent Framework approval workflows + ) - return result + dummy_client = OpenAIChatClient(model_id="gpt-4o-mini", api_key="dummy-not-used") + automation_agent = ChatAgent( + chat_client=dummy_client, + middleware=[cua_middleware], + instructions="Execute the plan carefully", + ) + result = await automation_agent.run(f"Execute: {plan}") + + # Step 3: Verification Agent (Pure Agent Framework) + verify_agent = ChatAgent( + chat_client=OpenAIChatClient(model_id="gpt-4o"), + instructions="Verify and summarize results", + ) + return await verify_agent.run(f"Verify: {result}") ``` +See the [Workflow Orchestration sample](../../samples/getting_started/cua/workflow_orchestration/) for a complete example. + ## VM Provider Options -### macOS (Lume) +For more details on Cua computer configuration, see [Cua Computers documentation](https://docs.cua.ai/docs/computer-sdk/computers). + +### Linux on Docker (Cross-platform) + +**Recommended** - Works on macOS, Windows, and Linux hosts. + ```python -computer = Computer(os_type="macos", provider_type="lume") +from computer import Computer +from agent_framework_cua import CuaAgentMiddleware + +async with Computer(os_type="linux", provider_type="docker") as computer: + cua_middleware = CuaAgentMiddleware( + computer=computer, + model="anthropic/claude-sonnet-4-5-20250929", + ) + # Use with ChatAgent... ``` -### Windows Sandbox +**Prerequisites:** +```bash +# Install Docker Desktop or Docker Engine +docker pull --platform=linux/amd64 trycua/cua-xfce:latest +``` + +### macOS VM (Lume) + +**macOS hosts only** - Native macOS virtualization with 97% native CPU performance. + ```python -computer = Computer(os_type="windows", provider_type="winsandbox") +from computer import Computer +from agent_framework_cua import CuaAgentMiddleware + +async with Computer(os_type="macos", provider_type="lume") as computer: + cua_middleware = CuaAgentMiddleware( + computer=computer, + model="anthropic/claude-sonnet-4-5-20250929", + ) + # Use with ChatAgent... ``` -### Docker (Linux) +**Prerequisites:** +```bash +# Install Lume CLI +/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/trycua/cua/main/libs/lume/scripts/install.sh)" + +# Start macOS VM +lume run macos-sequoia-cua:latest +``` + +### Windows Sandbox + +**Windows hosts only** - Requires Windows 10 Pro/Enterprise or Windows 11. + ```python -computer = Computer(os_type="linux", provider_type="docker") +from computer import Computer +from agent_framework_cua import CuaAgentMiddleware + +async with Computer(os_type="windows", provider_type="winsandbox") as computer: + cua_middleware = CuaAgentMiddleware( + computer=computer, + model="anthropic/claude-sonnet-4-5-20250929", + ) + # Use with ChatAgent... +``` + +**Prerequisites:** +```bash +# Enable Windows Sandbox in Windows Features +# Install pywinsandbox dependency +pip install -U git+git://github.com/karkason/pywinsandbox.git ``` ### Cloud Sandbox + +**Any host** - Managed Cua cloud infrastructure. + ```python -computer = Computer( +from computer import Computer +from agent_framework_cua import CuaAgentMiddleware + +async with Computer( os_type="linux", provider_type="cloud", name="your-sandbox-name", api_key="your-api-key", -) +) as computer: + cua_middleware = CuaAgentMiddleware( + computer=computer, + model="anthropic/claude-sonnet-4-5-20250929", + ) + # Use with ChatAgent... ``` ## Examples -See the [examples](./examples/) directory for more usage patterns: -- Basic computer use -- Multi-model workflows -- Human-in-the-loop approval -- Composite agents -- Integration with Agent Framework workflows +See [samples/getting_started/cua](../../samples/getting_started/cua/) for complete working examples: + +- **[Basic Example](../../samples/getting_started/cua/basic_example/)** - Getting started with Cua + Agent Framework +- **[Composite Agent](../../samples/getting_started/cua/composite_agent/)** - Combining grounding + planning models +- **[Workflow Orchestration](../../samples/getting_started/cua/workflow_orchestration/)** - Multi-agent workflows showing Agent Framework synergies ## Resources -- [Cua Documentation](https://docs.trycua.com) +- [Cua Documentation](https://docs.cua.ai) + - [Agent Loops](https://docs.cua.ai/docs/agent-sdk/agent-loops) - How Cua's ComputerAgent works + - [Computers](https://docs.cua.ai/docs/computer-sdk/computers) - Platform-specific setup guides - [Cua GitHub](https://github.com/trycua/cua) - [Agent Framework Documentation](https://learn.microsoft.com/agent-framework/) diff --git a/python/packages/cua/agent_framework_cua/__init__.py b/python/packages/cua/agent_framework_cua/__init__.py index 39acf4652b..81b4292482 100644 --- a/python/packages/cua/agent_framework_cua/__init__.py +++ b/python/packages/cua/agent_framework_cua/__init__.py @@ -40,19 +40,7 @@ """ from ._middleware import CuaAgentMiddleware -from ._types import ( - CuaModelId, - CuaOSType, - CuaProviderType, - CuaResult, - CuaStep, -) __all__ = [ "CuaAgentMiddleware", - "CuaModelId", - "CuaOSType", - "CuaProviderType", - "CuaResult", - "CuaStep", ] diff --git a/python/packages/cua/agent_framework_cua/_middleware.py b/python/packages/cua/agent_framework_cua/_middleware.py index 3d49a9584a..7724cfc097 100644 --- a/python/packages/cua/agent_framework_cua/_middleware.py +++ b/python/packages/cua/agent_framework_cua/_middleware.py @@ -88,7 +88,7 @@ def __init__( approval_interval: Steps between approval requests """ if not CUA_AVAILABLE: - raise ImportError("Cua packages not installed. Install with: pip install agent-framework-cua[all]") + raise ImportError("Cua packages not installed. Install with: pip install agent-framework-cua") self.computer = computer self.model = model diff --git a/python/packages/cua/examples/README.md b/python/packages/cua/examples/README.md deleted file mode 100644 index 4264c9b9cd..0000000000 --- a/python/packages/cua/examples/README.md +++ /dev/null @@ -1,107 +0,0 @@ -# Cua Integration Examples - -Examples demonstrating how to use Cua with Agent Framework. - -## Prerequisites - -```bash -# Install cua packages -pip install cua-agent[all] cua-computer - -# Install agent-framework-cua -pip install agent-framework-cua[all] -``` - -## Examples - -### 1. Basic Example (`basic_example.py`) - -Shows basic usage with Anthropic Claude on a local macOS VM: - -```bash -python examples/basic_example.py -``` - -Features: -- Human-in-the-loop approval -- Anthropic Claude model -- macOS Lume VM provider - -### 2. Composite Agent Example (`composite_agent_example.py`) - -Demonstrates composite agents combining grounding + planning models: - -```bash -python examples/composite_agent_example.py -``` - -Features: -- UI-Tars for UI grounding -- GPT-4o for high-level planning -- Automatic coordination between models - -## Model Options - -### Cloud Models -```python -model="anthropic/claude-3-5-sonnet-20241022" -model="openai/gpt-4o" -model="openai/gpt-4o-mini" -``` - -### Local Models -```python -model="huggingface-local/ByteDance/OpenCUA-7B" -model="huggingface-local/OpenGVLab/InternVL2-8B" -model="huggingface-local/THUDM/glm-4v-9b" -``` - -### Composite Models -```python -model="huggingface-local/UI-TARS+openai/gpt-4o" -model="huggingface-local/InternVL+anthropic/claude-3-5-sonnet" -``` - -## VM Provider Options - -### macOS (Lume) -```python -Computer(os_type="macos", provider_type="lume") -``` - -### Windows Sandbox -```python -Computer(os_type="windows", provider_type="winsandbox") -``` - -### Docker (Linux) -```python -Computer(os_type="linux", provider_type="docker") -``` - -### Cloud Sandbox -```python -Computer( - os_type="linux", - provider_type="cloud", - name="your-sandbox", - api_key="your-api-key", -) -``` - -## Configuration Options - -```python -CuaAgentMiddleware( - computer=computer, - model="anthropic/claude-3-5-sonnet-20241022", - max_trajectory_budget=5.0, # Max cost budget - require_approval=True, # Require human approval - approval_interval=5, # Steps between approvals -) -``` - -## More Information - -- [Cua Documentation](https://docs.trycua.com) -- [Agent Framework Documentation](https://learn.microsoft.com/agent-framework/) diff --git a/python/packages/cua/examples/__init__.py b/python/packages/cua/examples/__init__.py deleted file mode 100644 index e8da839f76..0000000000 --- a/python/packages/cua/examples/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -# Copyright (c) Microsoft. All rights reserved. - -"""Examples for using CuaAgentMiddleware with Agent Framework.""" diff --git a/python/samples/getting_started/cua/README.md b/python/samples/getting_started/cua/README.md new file mode 100644 index 0000000000..53e34bc21f --- /dev/null +++ b/python/samples/getting_started/cua/README.md @@ -0,0 +1,93 @@ +# Cua Integration Samples + +Samples demonstrating how to use Cua with Microsoft Agent Framework for desktop automation. + +> [!IMPORTANT] +> **Experimental Feature**: This integration is experimental and **not recommended for production use**. These samples are for development, testing, and exploration only. + +## Prerequisites + +```bash +# Install Cua integration (includes agent-framework-core) +pip install agent-framework-cua + +# Set API keys +export ANTHROPIC_API_KEY="your-key" # For Cua execution (all samples) +export OPENAI_API_KEY="your-key" # Only for workflow_orchestration sample +``` + +## Samples + +### 1. [Basic Example](./basic_example/) + +Basic usage with Anthropic Claude on Linux Docker. + +**Shows:** +- Setting up Cua computer with Docker provider +- Creating `CuaAgentMiddleware` +- Running basic desktop automation tasks + +```bash +cd basic_example +python main.py +``` + +### 2. [Composite Agent](./composite_agent/) + +Advanced example using composite agents (grounding + planning models). + +**Shows:** +- Combining UI-Tars (grounding) with GPT-4o (planning) +- Automatic model coordination +- Platform-specific setup (macOS Lume) + +```bash +cd composite_agent +python main.py +``` + +### 3. [Workflow Orchestration](./workflow_orchestration/) + +Multi-agent workflow showing Agent Framework orchestration with Cua. + +**Shows:** +- Research agent (pure Agent Framework) +- Cua agent for automation +- Verification agent (pure Agent Framework) +- Agent Framework workflow patterns +- Thread management and context passing + +```bash +cd workflow_orchestration +python main.py +``` + +## Platform Setup + +### Linux on Docker (Recommended - Cross-platform) + +```bash +docker pull --platform=linux/amd64 trycua/cua-xfce:latest +``` + +### macOS VM (macOS hosts only) + +```bash +/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/trycua/cua/main/libs/lume/scripts/install.sh)" +lume run macos-sequoia-cua:latest +``` + +### Windows Sandbox (Windows hosts only) + +```bash +# Enable Windows Sandbox in Windows Features +pip install -U git+git://github.com/karkason/pywinsandbox.git +``` + +## Resources + +- [Cua Documentation](https://docs.cua.ai) + - [Computers](https://docs.cua.ai/docs/computer-sdk/computers) - Platform setup guides (Docker, macOS, Windows) + - [Agent Loops](https://docs.cua.ai/docs/agent-sdk/agent-loops) - How Cua's ComputerAgent works +- [Agent Framework Documentation](https://learn.microsoft.com/agent-framework/) +- [Package README](../../../packages/cua/README.md) diff --git a/python/samples/getting_started/cua/basic_example/README.md b/python/samples/getting_started/cua/basic_example/README.md new file mode 100644 index 0000000000..f2538de5e1 --- /dev/null +++ b/python/samples/getting_started/cua/basic_example/README.md @@ -0,0 +1,54 @@ +# Basic Cua Example + +Basic usage of Cua integration with Microsoft Agent Framework. + +## What This Shows + +- Setting up Cua computer with Linux Docker provider (cross-platform) +- Creating `CuaAgentMiddleware` with Anthropic Claude +- Human-in-the-loop approval workflows +- Running desktop automation tasks + +## Prerequisites + +```bash +# Install Docker Desktop or Docker Engine +docker pull --platform=linux/amd64 trycua/cua-xfce:latest + +# Set API key +export ANTHROPIC_API_KEY="your-key" +``` + +## Running + +```bash +python main.py +``` + +## How It Works + +1. **Computer Setup**: Initializes Linux Docker container +2. **Middleware**: `CuaAgentMiddleware` wraps Cua's `ComputerAgent` +3. **Agent**: Agent Framework provides orchestration and approval workflows +4. **Execution**: Cua handles model inference, computer control, multi-step loops + +## Platform Options + +This example uses Linux Docker (recommended). You can also use: + +**macOS VM:** +```python +Computer(os_type="macos", provider_type="lume") +``` + +**Windows Sandbox:** +```python +Computer(os_type="windows", provider_type="winsandbox") +``` + +See [parent README](../README.md) for setup instructions. + +## Resources + +- [Cua Computers](https://docs.cua.ai/docs/computer-sdk/computers) - Platform setup guides (Docker, macOS, Windows) +- [Cua Agent Loops](https://docs.cua.ai/docs/agent-sdk/agent-loops) - How Cua's ComputerAgent works diff --git a/python/samples/getting_started/cua/basic_example/__init__.py b/python/samples/getting_started/cua/basic_example/__init__.py new file mode 100644 index 0000000000..2a50eae894 --- /dev/null +++ b/python/samples/getting_started/cua/basic_example/__init__.py @@ -0,0 +1 @@ +# Copyright (c) Microsoft. All rights reserved. diff --git a/python/packages/cua/examples/basic_example.py b/python/samples/getting_started/cua/basic_example/main.py similarity index 100% rename from python/packages/cua/examples/basic_example.py rename to python/samples/getting_started/cua/basic_example/main.py diff --git a/python/samples/getting_started/cua/composite_agent/README.md b/python/samples/getting_started/cua/composite_agent/README.md new file mode 100644 index 0000000000..1d0e5ff050 --- /dev/null +++ b/python/samples/getting_started/cua/composite_agent/README.md @@ -0,0 +1,51 @@ +# Composite Agent Example + +Demonstrates Cua's composite agent feature, combining multiple models for better performance. + +## What This Shows + +- **Composite agents**: UI-Tars (grounding) + GPT-4o (planning) +- **Automatic coordination**: Cua handles model routing +- **macOS platform**: Using native macOS VMs with Lume + +## Prerequisites + +```bash +# Install Lume CLI (macOS only) +/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/trycua/cua/main/libs/lume/scripts/install.sh)" + +# Start macOS VM +lume run macos-sequoia-cua:latest + +# Set API keys +export OPENAI_API_KEY="your-key" # For GPT-4o +``` + +## Running + +```bash +python main.py +``` + +## How Composite Agents Work + +The model string `"ui-tars+gpt-4o"` tells Cua to use: +- **UI-Tars**: Specialized model for UI element detection and grounding +- **GPT-4o**: Advanced planning and reasoning + +Cua automatically coordinates between the models, using each for its strengths. + +## Other Composite Combinations + +```python +# InternVL for vision + Claude for planning +model="huggingface-local/InternVL+anthropic/claude-3-5-sonnet" + +# OpenCUA for grounding + GPT-4o-mini for cost-effective planning +model="huggingface-local/OpenCUA+openai/gpt-4o-mini" +``` + +## Resources + +- [Cua Agent Loops](https://docs.cua.ai/docs/agent-sdk/agent-loops) - Detailed guide on composite agents +- [Cua Computers](https://docs.cua.ai/docs/computer-sdk/computers) - Platform setup guides diff --git a/python/samples/getting_started/cua/composite_agent/__init__.py b/python/samples/getting_started/cua/composite_agent/__init__.py new file mode 100644 index 0000000000..2a50eae894 --- /dev/null +++ b/python/samples/getting_started/cua/composite_agent/__init__.py @@ -0,0 +1 @@ +# Copyright (c) Microsoft. All rights reserved. diff --git a/python/packages/cua/examples/composite_agent_example.py b/python/samples/getting_started/cua/composite_agent/main.py similarity index 100% rename from python/packages/cua/examples/composite_agent_example.py rename to python/samples/getting_started/cua/composite_agent/main.py diff --git a/python/samples/getting_started/cua/workflow_orchestration/README.md b/python/samples/getting_started/cua/workflow_orchestration/README.md new file mode 100644 index 0000000000..a70080250b --- /dev/null +++ b/python/samples/getting_started/cua/workflow_orchestration/README.md @@ -0,0 +1,95 @@ +# Workflow Orchestration Example + +Multi-agent workflow demonstrating **Agent Framework + Cua synergies**. + +## What This Shows + +**Agent Framework Strengths:** +- Workflow orchestration across multiple agents +- Thread and context management +- Human-in-the-loop approval workflows +- Multi-turn conversations + +**Cua Strengths:** +- Desktop automation execution +- 100+ model support +- Computer control loops + +## The Workflow + +``` +┌─────────────────────┐ +│ 1. Research Agent │ → Pure Agent Framework (GPT-4o-mini) +│ Create plan │ Creates automation strategy +└──────────┬──────────┘ + ↓ +┌─────────────────────┐ +│ 2. Automation Agent │ → Agent Framework orchestration +│ Execute plan │ + Cua execution (Claude Sonnet 4.5) +└──────────┬──────────┘ Agent Framework: approval workflows + ↓ Cua: computer control loops +┌─────────────────────┐ +│ 3. Verification │ → Pure Agent Framework (GPT-4o) +│ Confirm results │ Validates and summarizes +└─────────────────────┘ +``` + +## Prerequisites + +```bash +# Install Docker +docker pull --platform=linux/amd64 trycua/cua-xfce:latest + +# Set API keys +export ANTHROPIC_API_KEY="your-key" +export OPENAI_API_KEY="your-key" +``` + +## Running + +```bash +python main.py +``` + +## Key Synergies + +### 1. **Orchestration** +Agent Framework coordinates the multi-agent workflow while Cua handles automation execution. + +### 2. **Thread Management** +```python +thread = automation_agent.get_new_thread() +response = await automation_agent.run(prompt, thread) +``` +Agent Framework manages conversation history and context. + +### 3. **Human-in-the-Loop** +```python +CuaAgentMiddleware( + require_approval=True, # Agent Framework approval workflows + approval_interval=3, +) +``` +Agent Framework's `FunctionApprovalRequestContent` integrates with Cua's execution. + +### 4. **Multi-Agent Patterns** +- Research agents (planning) +- Cua agents (execution) +- Verification agents (validation) + +Each agent uses the best tool for its role. + +## Extending This Pattern + +This pattern works for many workflows: + +- **Data collection**: Research → Scrape (Cua) → Analyze +- **Testing**: Generate tests → Execute (Cua) → Report +- **Content creation**: Plan → Screenshot (Cua) → Synthesize + +Agent Framework provides the orchestration layer, Cua provides the automation layer. + +## Resources + +- [Cua Agent Loops](https://docs.cua.ai/docs/agent-sdk/agent-loops) - Understanding the agent execution loop +- [Cua Computers](https://docs.cua.ai/docs/computer-sdk/computers) - Platform setup guides diff --git a/python/samples/getting_started/cua/workflow_orchestration/__init__.py b/python/samples/getting_started/cua/workflow_orchestration/__init__.py new file mode 100644 index 0000000000..2a50eae894 --- /dev/null +++ b/python/samples/getting_started/cua/workflow_orchestration/__init__.py @@ -0,0 +1 @@ +# Copyright (c) Microsoft. All rights reserved. diff --git a/python/samples/getting_started/cua/workflow_orchestration/main.py b/python/samples/getting_started/cua/workflow_orchestration/main.py new file mode 100644 index 0000000000..752d1b4d8f --- /dev/null +++ b/python/samples/getting_started/cua/workflow_orchestration/main.py @@ -0,0 +1,89 @@ +# Copyright (c) Microsoft. All rights reserved. + +"""Workflow orchestration example showing Agent Framework + Cua synergies.""" + +import asyncio +import logging + +from agent_framework import ChatAgent +from agent_framework.openai import OpenAIChatClient +from computer import Computer + +from agent_framework_cua import CuaAgentMiddleware + +logger = logging.getLogger(__name__) + + +async def main(): + """Run a multi-agent workflow: Research → Cua Automation → Verification.""" + + # Step 1: Research Agent (Pure Agent Framework) + logger.info("📚 Step 1: Research Agent") + research_agent = ChatAgent( + chat_client=OpenAIChatClient(model_id="gpt-4o-mini"), + instructions=( + "You are a research assistant. Create a detailed automation plan. " + "For the given task, break it down into specific, actionable steps " + "that can be automated on a desktop." + ), + ) + + task = "Find the latest release version of Python from python.org" + research_response = await research_agent.run(f"Create an automation plan for: {task}") + logger.info("📋 Research Plan:\n%s", research_response) + + # Step 2: Cua Automation Agent (Agent Framework Orchestration + Cua Execution) + logger.info("\n🤖 Step 2: Cua Automation Agent") + async with Computer(os_type="linux", provider_type="docker") as computer: + cua_middleware = CuaAgentMiddleware( + computer=computer, + model="anthropic/claude-sonnet-4-5-20250929", + require_approval=True, # Human-in-the-loop via Agent Framework + approval_interval=3, + ) + + dummy_client = OpenAIChatClient(model_id="gpt-4o-mini", api_key="dummy-not-used") + automation_agent = ChatAgent( + chat_client=dummy_client, + middleware=[cua_middleware], + instructions="You are an automation assistant. Execute the plan carefully.", + ) + + # Agent Framework manages the thread and context + thread = automation_agent.get_new_thread() + automation_prompt = f"Execute this plan:\n{research_response}\n\nTask: {task}" + automation_response = await automation_agent.run(automation_prompt, thread) + logger.info("✅ Automation Result:\n%s", automation_response) + + # Step 3: Verification Agent (Pure Agent Framework) + logger.info("\n🔍 Step 3: Verification Agent") + verify_agent = ChatAgent( + chat_client=OpenAIChatClient(model_id="gpt-4o"), + instructions=( + "You are a verification assistant. Analyze the automation results " + "and confirm if the task was completed successfully. Extract key findings." + ), + ) + + verification_prompt = f""" + Original Task: {task} + + Research Plan: + {research_response} + + Automation Results: + {automation_response} + + Verify if the task was completed and summarize findings. + """ + + final_result = await verify_agent.run(verification_prompt) + logger.info("📊 Final Verification:\n%s", final_result) + + return final_result + + +if __name__ == "__main__": + logging.basicConfig(level=logging.INFO, format='%(message)s') + result = asyncio.run(main()) + print(f"\n{'='*60}\n🎉 Workflow Complete!\n{'='*60}\n{result}") From ca6e7236fb2ea4bf7fa96a3ab8c97a9aa2aee720 Mon Sep 17 00:00:00 2001 From: f-trycua Date: Fri, 17 Oct 2025 10:24:46 -0700 Subject: [PATCH 04/10] Add instructions parameter support to CuaAgentMiddleware --- .../packages/cua/agent_framework_cua/_middleware.py | 4 ++++ .../samples/getting_started/cua/basic_example/main.py | 6 +++--- .../getting_started/cua/composite_agent/main.py | 11 ++++++----- .../cua/workflow_orchestration/main.py | 2 +- 4 files changed, 14 insertions(+), 9 deletions(-) diff --git a/python/packages/cua/agent_framework_cua/_middleware.py b/python/packages/cua/agent_framework_cua/_middleware.py index 7724cfc097..039ec466b1 100644 --- a/python/packages/cua/agent_framework_cua/_middleware.py +++ b/python/packages/cua/agent_framework_cua/_middleware.py @@ -69,6 +69,7 @@ def __init__( computer: "Computer", *, model: CuaModelId = "anthropic/claude-3-5-sonnet-20241022", + instructions: str | None = None, max_trajectory_budget: float = 5.0, require_approval: bool = True, approval_interval: int = 5, @@ -83,6 +84,7 @@ def __init__( - "huggingface-local/ByteDance/OpenCUA-7B" - "huggingface-local/OpenGVLab/InternVL2-8B" - Composite: "ui-model+planning-model" + instructions: Optional system instructions for the agent max_trajectory_budget: Max cost budget for Cua agent loop require_approval: Whether to require human approval approval_interval: Steps between approval requests @@ -92,6 +94,7 @@ def __init__( self.computer = computer self.model = model + self.instructions = instructions self.max_trajectory_budget = max_trajectory_budget self.require_approval = require_approval self.approval_interval = approval_interval @@ -100,6 +103,7 @@ def __init__( self.cua_agent = ComputerAgent( model=model, tools=[computer], + instructions=instructions, max_trajectory_budget=max_trajectory_budget, ) diff --git a/python/samples/getting_started/cua/basic_example/main.py b/python/samples/getting_started/cua/basic_example/main.py index b3f280153c..f4a6a039bf 100644 --- a/python/samples/getting_started/cua/basic_example/main.py +++ b/python/samples/getting_started/cua/basic_example/main.py @@ -19,22 +19,22 @@ async def main(): # Initialize Cua computer (Linux Docker container) async with Computer(os_type="linux", provider_type="docker") as computer: # Create middleware with Anthropic Claude - # Note: The middleware delegates to Cua's agent, so the model is specified here + # Note: The middleware delegates to Cua's agent, so model and instructions are specified here cua_middleware = CuaAgentMiddleware( computer=computer, model="anthropic/claude-sonnet-4-5-20250929", + instructions="You are a desktop automation assistant. Be precise and careful.", require_approval=True, approval_interval=5, ) # Create Agent Framework agent with Cua middleware - # Note: chat_client and instructions are required by ChatAgent but won't be used. + # Note: chat_client is required by ChatAgent but won't be used. # CuaAgentMiddleware terminates execution and delegates everything to Cua's ComputerAgent. dummy_client = OpenAIChatClient(model_id="gpt-4o-mini", api_key="dummy-not-used") agent = ChatAgent( chat_client=dummy_client, middleware=[cua_middleware], - instructions="You are a desktop automation assistant. Be precise and careful.", ) # Run agent diff --git a/python/samples/getting_started/cua/composite_agent/main.py b/python/samples/getting_started/cua/composite_agent/main.py index 336c014abd..59e96e15f9 100644 --- a/python/samples/getting_started/cua/composite_agent/main.py +++ b/python/samples/getting_started/cua/composite_agent/main.py @@ -18,22 +18,23 @@ async def main(): """Run a composite agent example combining UI-Tars for grounding and GPT-4o for planning.""" async with Computer(os_type="macos", provider_type="lume") as computer: # Create middleware with composite agent + # Note: Instructions are passed to Cua's ComputerAgent through the middleware cua_middleware = CuaAgentMiddleware( computer=computer, model="huggingface-local/ByteDance-Seed/UI-TARS-1.5-7B+openai/gpt-4o", + instructions=( + "You are a desktop automation assistant. " + "Use UI-Tars for precise UI element detection and GPT-4o for planning." + ), require_approval=False, # Disable approval for demo ) - # Note: chat_client and instructions are required by ChatAgent but won't be used. + # Note: chat_client is required by ChatAgent but won't be used. # CuaAgentMiddleware terminates execution and delegates everything to Cua's ComputerAgent. dummy_client = OpenAIChatClient(model_id="gpt-4o-mini", api_key="dummy-not-used") agent = ChatAgent( chat_client=dummy_client, middleware=[cua_middleware], - instructions=( - "You are a desktop automation assistant. " - "Use UI-Tars for precise UI element detection and GPT-4o for planning." - ), ) logger.info("🤖 Starting composite agent...") diff --git a/python/samples/getting_started/cua/workflow_orchestration/main.py b/python/samples/getting_started/cua/workflow_orchestration/main.py index 752d1b4d8f..3081f15998 100644 --- a/python/samples/getting_started/cua/workflow_orchestration/main.py +++ b/python/samples/getting_started/cua/workflow_orchestration/main.py @@ -38,6 +38,7 @@ async def main(): cua_middleware = CuaAgentMiddleware( computer=computer, model="anthropic/claude-sonnet-4-5-20250929", + instructions="You are an automation assistant. Execute the plan carefully.", require_approval=True, # Human-in-the-loop via Agent Framework approval_interval=3, ) @@ -46,7 +47,6 @@ async def main(): automation_agent = ChatAgent( chat_client=dummy_client, middleware=[cua_middleware], - instructions="You are an automation assistant. Execute the plan carefully.", ) # Agent Framework manages the thread and context From bc7c2a7faae0975c6895ffb10d34a4222cdb1a44 Mon Sep 17 00:00:00 2001 From: f-trycua Date: Fri, 17 Oct 2025 11:21:58 -0700 Subject: [PATCH 05/10] Update to Claude Sonnet 4.5 and prioritize Docker as default platform --- python/packages/cua/README.md | 8 ++++---- .../packages/cua/agent_framework_cua/__init__.py | 8 ++++---- .../cua/agent_framework_cua/_middleware.py | 10 +++++----- .../packages/cua/agent_framework_cua/_types.py | 10 +++++----- .../cua/composite_agent/README.md | 16 ++++++++++++++-- .../getting_started/cua/composite_agent/main.py | 5 ++++- 6 files changed, 36 insertions(+), 21 deletions(-) diff --git a/python/packages/cua/README.md b/python/packages/cua/README.md index aa9481c467..eeee5cb5ad 100644 --- a/python/packages/cua/README.md +++ b/python/packages/cua/README.md @@ -56,7 +56,7 @@ from agent_framework_cua import CuaAgentMiddleware from computer import Computer async def main(): - # Initialize Cua computer (Linux Docker - cross-platform) + # Initialize Cua computer (Linux Docker - recommended, cross-platform) async with Computer( os_type="linux", provider_type="docker" @@ -66,17 +66,17 @@ async def main(): cua_middleware = CuaAgentMiddleware( computer=computer, model="anthropic/claude-sonnet-4-5-20250929", + instructions="You are a desktop automation assistant.", require_approval=True, ) # Create Agent Framework agent with Cua middleware - # Note: chat_client and instructions are required but won't be used. + # Note: chat_client is required but won't be used. # CuaAgentMiddleware terminates execution and delegates to Cua's ComputerAgent. dummy_client = OpenAIChatClient(model_id="gpt-4o-mini", api_key="dummy-not-used") agent = ChatAgent( chat_client=dummy_client, middleware=[cua_middleware], - instructions="You are a desktop automation assistant.", ) # Run agent @@ -155,6 +155,7 @@ async def multi_agent_workflow(task: str) -> str: cua_middleware = CuaAgentMiddleware( computer=computer, model="anthropic/claude-sonnet-4-5-20250929", + instructions="Execute the plan carefully", require_approval=True, # Agent Framework approval workflows ) @@ -162,7 +163,6 @@ async def multi_agent_workflow(task: str) -> str: automation_agent = ChatAgent( chat_client=dummy_client, middleware=[cua_middleware], - instructions="Execute the plan carefully", ) result = await automation_agent.run(f"Execute: {plan}") diff --git a/python/packages/cua/agent_framework_cua/__init__.py b/python/packages/cua/agent_framework_cua/__init__.py index 81b4292482..971e59cad2 100644 --- a/python/packages/cua/agent_framework_cua/__init__.py +++ b/python/packages/cua/agent_framework_cua/__init__.py @@ -18,18 +18,18 @@ >>> from agent_framework_cua import CuaAgentMiddleware >>> from computer import Computer >>> - >>> async with Computer(os_type="macos", provider_type="lume") as computer: + >>> async with Computer(os_type="linux", provider_type="docker") as computer: ... middleware = CuaAgentMiddleware( ... computer=computer, - ... model="anthropic/claude-3-5-sonnet-20241022", + ... model="anthropic/claude-sonnet-4-5-20250929", + ... instructions="You are a desktop automation assistant.", ... ) ... ... agent = ChatAgent( ... middleware=[middleware], - ... instructions="You are a desktop automation assistant.", ... ) ... - ... response = await agent.run("Open Safari") + ... response = await agent.run("Open Firefox") Using composite agents: diff --git a/python/packages/cua/agent_framework_cua/_middleware.py b/python/packages/cua/agent_framework_cua/_middleware.py index 039ec466b1..6aeea297c6 100644 --- a/python/packages/cua/agent_framework_cua/_middleware.py +++ b/python/packages/cua/agent_framework_cua/_middleware.py @@ -50,10 +50,10 @@ class CuaAgentMiddleware(ChatMiddleware): from agent_framework.cua import CuaAgentMiddleware from computer import Computer - async with Computer(os_type="macos", provider_type="lume") as computer: + async with Computer(os_type="linux", provider_type="docker") as computer: middleware = CuaAgentMiddleware( computer=computer, - model="anthropic/claude-3-5-sonnet-20241022", + model="anthropic/claude-sonnet-4-5-20250929", ) agent = ChatAgent( @@ -61,14 +61,14 @@ class CuaAgentMiddleware(ChatMiddleware): instructions="You are a desktop automation assistant.", ) - response = await agent.run("Open Safari and search for Python") + response = await agent.run("Open Firefox and search for Python") """ def __init__( self, computer: "Computer", *, - model: CuaModelId = "anthropic/claude-3-5-sonnet-20241022", + model: CuaModelId = "anthropic/claude-sonnet-4-5-20250929", instructions: str | None = None, max_trajectory_budget: float = 5.0, require_approval: bool = True, @@ -79,7 +79,7 @@ def __init__( Args: computer: Cua Computer instance for desktop automation model: Model identifier (supports 100+ configs): - - "anthropic/claude-3-5-sonnet-20241022" + - "anthropic/claude-sonnet-4-5-20250929" - "openai/gpt-4o" - "huggingface-local/ByteDance/OpenCUA-7B" - "huggingface-local/OpenGVLab/InternVL2-8B" diff --git a/python/packages/cua/agent_framework_cua/_types.py b/python/packages/cua/agent_framework_cua/_types.py index 6fa0a17281..a90da7df6b 100644 --- a/python/packages/cua/agent_framework_cua/_types.py +++ b/python/packages/cua/agent_framework_cua/_types.py @@ -30,8 +30,8 @@ class CuaResult(TypedDict, total=False): Model identifier for Cua agent. Supports 100+ model configurations: +- Anthropic: "anthropic/claude-sonnet-4-5-20250929" - OpenAI: "openai/gpt-4o", "openai/gpt-4o-mini" -- Anthropic: "anthropic/claude-3-5-sonnet-20241022" - OpenCUA: "huggingface-local/ByteDance/OpenCUA-7B" - InternVL: "huggingface-local/OpenGVLab/InternVL2-8B" - UI-Tars: "huggingface-local/ByteDance-Seed/UI-TARS-1.5-7B" @@ -39,20 +39,20 @@ class CuaResult(TypedDict, total=False): - Composite: "grounding_model+planning_model" Examples: - >>> model = "anthropic/claude-3-5-sonnet-20241022" + >>> model = "anthropic/claude-sonnet-4-5-20250929" >>> model = "openai/gpt-4o" >>> model = "huggingface-local/ByteDance/OpenCUA-7B+openai/gpt-4o" """ -CuaProviderType = Literal["lume", "docker", "cloud", "lumier", "winsandbox"] +CuaProviderType = Literal["docker", "lume", "winsandbox", "cloud", "lumier"] """ VM provider type for Cua computer. +- docker: Docker containers (cross-platform, recommended) - lume: Native macOS/Linux VMs (high performance) -- docker: Docker containers (cross-platform) +- winsandbox: Windows Sandbox - cloud: Cloud sandbox (managed service) - lumier: Docker-based Lume interface -- winsandbox: Windows Sandbox """ CuaOSType = Literal["macos", "linux", "windows"] diff --git a/python/samples/getting_started/cua/composite_agent/README.md b/python/samples/getting_started/cua/composite_agent/README.md index 1d0e5ff050..5ed4d66910 100644 --- a/python/samples/getting_started/cua/composite_agent/README.md +++ b/python/samples/getting_started/cua/composite_agent/README.md @@ -6,12 +6,24 @@ Demonstrates Cua's composite agent feature, combining multiple models for better - **Composite agents**: UI-Tars (grounding) + GPT-4o (planning) - **Automatic coordination**: Cua handles model routing -- **macOS platform**: Using native macOS VMs with Lume +- **Cross-platform**: Works with Docker (Linux), macOS, or Windows ## Prerequisites +### Option 1: Docker (Recommended - cross-platform) + +```bash +# Install Docker Desktop or Docker Engine +docker pull --platform=linux/amd64 trycua/cua-xfce:latest + +# Set API keys +export OPENAI_API_KEY="your-key" # For GPT-4o +``` + +### Option 2: macOS (macOS hosts only) + ```bash -# Install Lume CLI (macOS only) +# Install Lume CLI /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/trycua/cua/main/libs/lume/scripts/install.sh)" # Start macOS VM diff --git a/python/samples/getting_started/cua/composite_agent/main.py b/python/samples/getting_started/cua/composite_agent/main.py index 59e96e15f9..fdea6efd99 100644 --- a/python/samples/getting_started/cua/composite_agent/main.py +++ b/python/samples/getting_started/cua/composite_agent/main.py @@ -16,7 +16,10 @@ async def main(): """Run a composite agent example combining UI-Tars for grounding and GPT-4o for planning.""" - async with Computer(os_type="macos", provider_type="lume") as computer: + # Use Docker (cross-platform), or change to: + # - Computer(os_type="macos", provider_type="lume") for macOS + # - Computer(os_type="windows", provider_type="winsandbox") for Windows + async with Computer(os_type="linux", provider_type="docker") as computer: # Create middleware with composite agent # Note: Instructions are passed to Cua's ComputerAgent through the middleware cua_middleware = CuaAgentMiddleware( From 2f9f7af9d57fdc5a394fbf50c71e0862cfab90b6 Mon Sep 17 00:00:00 2001 From: f-trycua Date: Fri, 17 Oct 2025 11:36:32 -0700 Subject: [PATCH 06/10] Add CuaChatClient to eliminate dummy variables --- python/packages/cua/README.md | 63 ++++++---- .../cua/agent_framework_cua/__init__.py | 17 ++- .../cua/agent_framework_cua/_chat_client.py | 108 ++++++++++++++++++ .../cua/agent_framework_cua/_middleware.py | 80 +++++++++---- .../getting_started/cua/basic_example/main.py | 21 ++-- .../cua/composite_agent/main.py | 20 ++-- .../cua/workflow_orchestration/main.py | 15 ++- 7 files changed, 248 insertions(+), 76 deletions(-) create mode 100644 python/packages/cua/agent_framework_cua/_chat_client.py diff --git a/python/packages/cua/README.md b/python/packages/cua/README.md index eeee5cb5ad..c6cc768541 100644 --- a/python/packages/cua/README.md +++ b/python/packages/cua/README.md @@ -51,8 +51,7 @@ export AZURE_API_VERSION="2024-02-01" ```python import asyncio from agent_framework import ChatAgent -from agent_framework.openai import OpenAIChatClient -from agent_framework_cua import CuaAgentMiddleware +from agent_framework_cua import CuaChatClient, CuaAgentMiddleware from computer import Computer async def main(): @@ -62,20 +61,21 @@ async def main(): provider_type="docker" ) as computer: - # Create middleware with Anthropic Claude - cua_middleware = CuaAgentMiddleware( - computer=computer, + # Create Cua chat client with model and instructions + chat_client = CuaChatClient( model="anthropic/claude-sonnet-4-5-20250929", instructions="You are a desktop automation assistant.", + ) + + # Create middleware + cua_middleware = CuaAgentMiddleware( + computer=computer, require_approval=True, ) - # Create Agent Framework agent with Cua middleware - # Note: chat_client is required but won't be used. - # CuaAgentMiddleware terminates execution and delegates to Cua's ComputerAgent. - dummy_client = OpenAIChatClient(model_id="gpt-4o-mini", api_key="dummy-not-used") + # Create Agent Framework agent - no dummy variables! agent = ChatAgent( - chat_client=dummy_client, + chat_client=chat_client, middleware=[cua_middleware], ) @@ -94,49 +94,60 @@ if __name__ == "__main__": ### OpenAI Computer Use ```python -from agent_framework_cua import CuaAgentMiddleware +from agent_framework_cua import CuaChatClient, CuaAgentMiddleware -cua_middleware = CuaAgentMiddleware( - computer=computer, +chat_client = CuaChatClient( model="openai/gpt-4o", ) +middleware = CuaAgentMiddleware(computer=computer) ``` ### OpenCUA (Local Model) ```python -from agent_framework_cua import CuaAgentMiddleware +from agent_framework_cua import CuaChatClient, CuaAgentMiddleware -cua_middleware = CuaAgentMiddleware( - computer=computer, +chat_client = CuaChatClient( model="huggingface-local/ByteDance/OpenCUA-7B", +) +middleware = CuaAgentMiddleware( + computer=computer, require_approval=False, # No approval for local models ) ``` ### Composite Agent (Grounding + Planning) ```python -from agent_framework_cua import CuaAgentMiddleware +from agent_framework_cua import CuaChatClient, CuaAgentMiddleware # Combine UI-Tars (grounding) with GPT-4o (planning) -cua_middleware = CuaAgentMiddleware( - computer=computer, +chat_client = CuaChatClient( model="huggingface-local/ByteDance-Seed/UI-TARS-1.5-7B+openai/gpt-4o", ) +middleware = CuaAgentMiddleware(computer=computer) ``` ## Configuration Options ```python +# CuaChatClient - stores model and instructions +CuaChatClient( + model: str = "anthropic/claude-sonnet-4-5-20250929", # Model identifier + instructions: str | None = None, # System instructions +) + +# CuaAgentMiddleware - handles computer automation CuaAgentMiddleware( computer: Computer, # Cua Computer instance - model: str, # Model identifier (100+ supported) + model: str | None = None, # Optional: override client model + instructions: str | None = None, # Optional: override client instructions max_trajectory_budget: float = 5.0, # Max cost budget require_approval: bool = True, # Human approval required approval_interval: int = 5, # Steps between approvals - stream: bool = True, # Stream responses ) ``` +**Note**: Model and instructions are typically provided via `CuaChatClient`. You can optionally override them in `CuaAgentMiddleware`. + ## Integration with Workflows Agent Framework provides orchestration while Cua handles execution: @@ -152,16 +163,18 @@ async def multi_agent_workflow(task: str) -> str: # Step 2: Cua Automation (Agent Framework + Cua) async with Computer(os_type="linux", provider_type="docker") as computer: - cua_middleware = CuaAgentMiddleware( - computer=computer, + cua_chat_client = CuaChatClient( model="anthropic/claude-sonnet-4-5-20250929", instructions="Execute the plan carefully", + ) + + cua_middleware = CuaAgentMiddleware( + computer=computer, require_approval=True, # Agent Framework approval workflows ) - dummy_client = OpenAIChatClient(model_id="gpt-4o-mini", api_key="dummy-not-used") automation_agent = ChatAgent( - chat_client=dummy_client, + chat_client=cua_chat_client, middleware=[cua_middleware], ) result = await automation_agent.run(f"Execute: {plan}") diff --git a/python/packages/cua/agent_framework_cua/__init__.py b/python/packages/cua/agent_framework_cua/__init__.py index 971e59cad2..addb5819cc 100644 --- a/python/packages/cua/agent_framework_cua/__init__.py +++ b/python/packages/cua/agent_framework_cua/__init__.py @@ -15,17 +15,22 @@ Basic usage with Anthropic Claude: >>> from agent_framework import ChatAgent - >>> from agent_framework_cua import CuaAgentMiddleware + >>> from agent_framework_cua import CuaChatClient, CuaAgentMiddleware >>> from computer import Computer >>> >>> async with Computer(os_type="linux", provider_type="docker") as computer: - ... middleware = CuaAgentMiddleware( - ... computer=computer, + ... # Create chat client with model and instructions + ... chat_client = CuaChatClient( ... model="anthropic/claude-sonnet-4-5-20250929", ... instructions="You are a desktop automation assistant.", ... ) ... + ... # Create middleware + ... middleware = CuaAgentMiddleware(computer=computer) + ... + ... # Create agent - no dummy variables! ... agent = ChatAgent( + ... chat_client=chat_client, ... middleware=[middleware], ... ) ... @@ -33,14 +38,16 @@ Using composite agents: - >>> middleware = CuaAgentMiddleware( - ... computer=computer, + >>> chat_client = CuaChatClient( ... model="huggingface-local/UI-TARS+openai/gpt-4o", ... ) + >>> middleware = CuaAgentMiddleware(computer=computer) """ +from ._chat_client import CuaChatClient from ._middleware import CuaAgentMiddleware __all__ = [ "CuaAgentMiddleware", + "CuaChatClient", ] diff --git a/python/packages/cua/agent_framework_cua/_chat_client.py b/python/packages/cua/agent_framework_cua/_chat_client.py new file mode 100644 index 0000000000..aa2d465a48 --- /dev/null +++ b/python/packages/cua/agent_framework_cua/_chat_client.py @@ -0,0 +1,108 @@ +# Copyright (c) Microsoft. All rights reserved. + +"""Cua chat client for Agent Framework.""" + +from collections.abc import AsyncGenerator +from typing import Any + +from agent_framework import BaseChatClient, ChatMessage, ChatResponse + +from ._types import CuaModelId + + +class CuaChatClient(BaseChatClient): + """Chat client for Cua integration. + + This client is designed to work with CuaAgentMiddleware. It stores model + and instruction configuration that the middleware extracts during execution. + + The actual chat completion is handled by CuaAgentMiddleware which delegates + to Cua's ComputerAgent, so this client's response methods are never called. + + Args: + model: Cua model identifier (e.g., "anthropic/claude-sonnet-4-5-20250929") + instructions: Optional system instructions for the agent + + Examples: + .. code-block:: python + + from agent_framework import ChatAgent + from agent_framework_cua import CuaChatClient, CuaAgentMiddleware + from computer import Computer + + async with Computer(os_type="linux", provider_type="docker") as computer: + # Create Cua chat client with model and instructions + chat_client = CuaChatClient( + model="anthropic/claude-sonnet-4-5-20250929", + instructions="You are a desktop automation assistant.", + ) + + # Create middleware + middleware = CuaAgentMiddleware(computer=computer) + + # Create agent - no dummy variables needed! + agent = ChatAgent( + chat_client=chat_client, + middleware=[middleware], + ) + + response = await agent.run("Open Firefox") + """ + + def __init__( + self, + *, + model: CuaModelId = "anthropic/claude-sonnet-4-5-20250929", + instructions: str | None = None, + **kwargs: Any, + ) -> None: + """Initialize CuaChatClient. + + Args: + model: Cua model identifier + instructions: Optional system instructions for the agent + **kwargs: Additional arguments passed to BaseChatClient + """ + super().__init__(**kwargs) + self.model = model + self.instructions = instructions + + async def _inner_get_response( + self, + *, + messages: list[ChatMessage], + chat_options: dict[str, Any], + **kwargs: Any, + ) -> ChatResponse: + """Get chat response. + + Note: This method should never be called when used with CuaAgentMiddleware, + as the middleware terminates execution before reaching the chat client. + + This implementation is provided to satisfy BaseChatClient's abstract interface. + """ + raise RuntimeError( + "CuaChatClient._inner_get_response should not be called. " + "Ensure you're using CuaAgentMiddleware which handles execution." + ) + + async def _inner_get_streaming_response( + self, + *, + messages: list[ChatMessage], + chat_options: dict[str, Any], + **kwargs: Any, + ) -> AsyncGenerator[Any, None]: + """Get streaming chat response. + + Note: This method should never be called when used with CuaAgentMiddleware, + as the middleware terminates execution before reaching the chat client. + + This implementation is provided to satisfy BaseChatClient's abstract interface. + """ + raise RuntimeError( + "CuaChatClient._inner_get_streaming_response should not be called. " + "Ensure you're using CuaAgentMiddleware which handles execution." + ) + # Make this a generator to satisfy type checker + yield # pragma: no cover diff --git a/python/packages/cua/agent_framework_cua/_middleware.py b/python/packages/cua/agent_framework_cua/_middleware.py index 6aeea297c6..1337329813 100644 --- a/python/packages/cua/agent_framework_cua/_middleware.py +++ b/python/packages/cua/agent_framework_cua/_middleware.py @@ -26,6 +26,12 @@ from ._types import CuaModelId, CuaResult, CuaStep +# Import CuaChatClient for type checking +try: + from ._chat_client import CuaChatClient +except ImportError: + CuaChatClient = None # type: ignore + class CuaAgentMiddleware(ChatMiddleware): """Middleware that delegates to Cua's ComputerAgent for model execution. @@ -47,18 +53,20 @@ class CuaAgentMiddleware(ChatMiddleware): .. code-block:: python from agent_framework import ChatAgent - from agent_framework.cua import CuaAgentMiddleware + from agent_framework.cua import CuaChatClient, CuaAgentMiddleware from computer import Computer async with Computer(os_type="linux", provider_type="docker") as computer: - middleware = CuaAgentMiddleware( - computer=computer, + chat_client = CuaChatClient( model="anthropic/claude-sonnet-4-5-20250929", + instructions="You are a desktop automation assistant.", ) + middleware = CuaAgentMiddleware(computer=computer) + agent = ChatAgent( + chat_client=chat_client, middleware=[middleware], - instructions="You are a desktop automation assistant.", ) response = await agent.run("Open Firefox and search for Python") @@ -68,7 +76,7 @@ def __init__( self, computer: "Computer", *, - model: CuaModelId = "anthropic/claude-sonnet-4-5-20250929", + model: CuaModelId | None = None, instructions: str | None = None, max_trajectory_budget: float = 5.0, require_approval: bool = True, @@ -78,16 +86,24 @@ def __init__( Args: computer: Cua Computer instance for desktop automation - model: Model identifier (supports 100+ configs): + model: Model identifier (supports 100+ configs). If not provided, + will be extracted from CuaChatClient. Options: - "anthropic/claude-sonnet-4-5-20250929" - "openai/gpt-4o" - "huggingface-local/ByteDance/OpenCUA-7B" - "huggingface-local/OpenGVLab/InternVL2-8B" - Composite: "ui-model+planning-model" - instructions: Optional system instructions for the agent + instructions: Optional system instructions for the agent. + If not provided, will be extracted from CuaChatClient. max_trajectory_budget: Max cost budget for Cua agent loop require_approval: Whether to require human approval approval_interval: Steps between approval requests + + Note: + Model and instructions can be provided either: + 1. Via CuaChatClient (recommended): Pass to chat_client parameter + 2. Directly to middleware: Pass to this __init__ method + If both are provided, middleware parameters take precedence. """ if not CUA_AVAILABLE: raise ImportError("Cua packages not installed. Install with: pip install agent-framework-cua") @@ -99,13 +115,8 @@ def __init__( self.require_approval = require_approval self.approval_interval = approval_interval - # Create Cua ComputerAgent - self.cua_agent = ComputerAgent( - model=model, - tools=[computer], - instructions=instructions, - max_trajectory_budget=max_trajectory_budget, - ) + # Will be initialized in first process() call when we have access to chat_client + self.cua_agent: ComputerAgent | None = None self._step_count = 0 self._trajectory: list[CuaStep] = [] @@ -118,17 +129,46 @@ async def process( """Process chat by delegating to Cua's ComputerAgent. Flow: - 1. Extract messages from Agent Framework context - 2. Check if approval needed (if steps >= approval_interval) - 3. If approved, call Cua agent with messages - 4. Cua handles entire model + computer execution loop - 5. Transform Cua results back to Agent Framework format - 6. Set context.result with ChatResponse + 1. Extract model/instructions from CuaChatClient if needed + 2. Initialize Cua agent on first call + 3. Extract messages from Agent Framework context + 4. Check if approval needed (if steps >= approval_interval) + 5. If approved, call Cua agent with messages + 6. Cua handles entire model + computer execution loop + 7. Transform Cua results back to Agent Framework format + 8. Set context.result with ChatResponse Args: context: Chat context containing messages and options next: Function to call next middleware (not used - we override execution) """ + # Initialize Cua agent on first call + if self.cua_agent is None: + model = self.model + instructions = self.instructions + + # Extract from CuaChatClient if not explicitly provided + if CuaChatClient is not None and hasattr(context, "chat_client"): + chat_client = context.chat_client + if isinstance(chat_client, CuaChatClient): + # Use client values if middleware values not provided + if model is None: + model = chat_client.model + if instructions is None: + instructions = chat_client.instructions + + # Default model if still not provided + if model is None: + model = "anthropic/claude-sonnet-4-5-20250929" + + # Create Cua ComputerAgent + self.cua_agent = ComputerAgent( + model=model, + tools=[self.computer], + instructions=instructions, + max_trajectory_budget=self.max_trajectory_budget, + ) + # Check if we need approval before proceeding if self.require_approval and self._should_request_approval(): approved = await self._request_approval(context, next) diff --git a/python/samples/getting_started/cua/basic_example/main.py b/python/samples/getting_started/cua/basic_example/main.py index f4a6a039bf..e8468041b5 100644 --- a/python/samples/getting_started/cua/basic_example/main.py +++ b/python/samples/getting_started/cua/basic_example/main.py @@ -6,10 +6,9 @@ import logging from agent_framework import ChatAgent -from agent_framework.openai import OpenAIChatClient from computer import Computer -from agent_framework_cua import CuaAgentMiddleware +from agent_framework_cua import CuaAgentMiddleware, CuaChatClient logger = logging.getLogger(__name__) @@ -18,22 +17,22 @@ async def main(): """Run a basic computer use example with Claude.""" # Initialize Cua computer (Linux Docker container) async with Computer(os_type="linux", provider_type="docker") as computer: - # Create middleware with Anthropic Claude - # Note: The middleware delegates to Cua's agent, so model and instructions are specified here - cua_middleware = CuaAgentMiddleware( - computer=computer, + # Create Cua chat client with model and instructions + chat_client = CuaChatClient( model="anthropic/claude-sonnet-4-5-20250929", instructions="You are a desktop automation assistant. Be precise and careful.", + ) + + # Create middleware + cua_middleware = CuaAgentMiddleware( + computer=computer, require_approval=True, approval_interval=5, ) - # Create Agent Framework agent with Cua middleware - # Note: chat_client is required by ChatAgent but won't be used. - # CuaAgentMiddleware terminates execution and delegates everything to Cua's ComputerAgent. - dummy_client = OpenAIChatClient(model_id="gpt-4o-mini", api_key="dummy-not-used") + # Create Agent Framework agent agent = ChatAgent( - chat_client=dummy_client, + chat_client=chat_client, middleware=[cua_middleware], ) diff --git a/python/samples/getting_started/cua/composite_agent/main.py b/python/samples/getting_started/cua/composite_agent/main.py index fdea6efd99..ac0867fe11 100644 --- a/python/samples/getting_started/cua/composite_agent/main.py +++ b/python/samples/getting_started/cua/composite_agent/main.py @@ -6,10 +6,9 @@ import logging from agent_framework import ChatAgent -from agent_framework.openai import OpenAIChatClient from computer import Computer -from agent_framework_cua import CuaAgentMiddleware +from agent_framework_cua import CuaAgentMiddleware, CuaChatClient logger = logging.getLogger(__name__) @@ -20,23 +19,24 @@ async def main(): # - Computer(os_type="macos", provider_type="lume") for macOS # - Computer(os_type="windows", provider_type="winsandbox") for Windows async with Computer(os_type="linux", provider_type="docker") as computer: - # Create middleware with composite agent - # Note: Instructions are passed to Cua's ComputerAgent through the middleware - cua_middleware = CuaAgentMiddleware( - computer=computer, + # Create Cua chat client with composite model + chat_client = CuaChatClient( model="huggingface-local/ByteDance-Seed/UI-TARS-1.5-7B+openai/gpt-4o", instructions=( "You are a desktop automation assistant. " "Use UI-Tars for precise UI element detection and GPT-4o for planning." ), + ) + + # Create middleware + cua_middleware = CuaAgentMiddleware( + computer=computer, require_approval=False, # Disable approval for demo ) - # Note: chat_client is required by ChatAgent but won't be used. - # CuaAgentMiddleware terminates execution and delegates everything to Cua's ComputerAgent. - dummy_client = OpenAIChatClient(model_id="gpt-4o-mini", api_key="dummy-not-used") + # Create agent agent = ChatAgent( - chat_client=dummy_client, + chat_client=chat_client, middleware=[cua_middleware], ) diff --git a/python/samples/getting_started/cua/workflow_orchestration/main.py b/python/samples/getting_started/cua/workflow_orchestration/main.py index 3081f15998..653ba1b0f6 100644 --- a/python/samples/getting_started/cua/workflow_orchestration/main.py +++ b/python/samples/getting_started/cua/workflow_orchestration/main.py @@ -9,7 +9,7 @@ from agent_framework.openai import OpenAIChatClient from computer import Computer -from agent_framework_cua import CuaAgentMiddleware +from agent_framework_cua import CuaAgentMiddleware, CuaChatClient logger = logging.getLogger(__name__) @@ -35,17 +35,22 @@ async def main(): # Step 2: Cua Automation Agent (Agent Framework Orchestration + Cua Execution) logger.info("\n🤖 Step 2: Cua Automation Agent") async with Computer(os_type="linux", provider_type="docker") as computer: - cua_middleware = CuaAgentMiddleware( - computer=computer, + # Create Cua chat client + cua_chat_client = CuaChatClient( model="anthropic/claude-sonnet-4-5-20250929", instructions="You are an automation assistant. Execute the plan carefully.", + ) + + # Create middleware + cua_middleware = CuaAgentMiddleware( + computer=computer, require_approval=True, # Human-in-the-loop via Agent Framework approval_interval=3, ) - dummy_client = OpenAIChatClient(model_id="gpt-4o-mini", api_key="dummy-not-used") + # Create automation agent automation_agent = ChatAgent( - chat_client=dummy_client, + chat_client=cua_chat_client, middleware=[cua_middleware], ) From c37d9eeb377d823ee7dc7c098738d9b5b6ce8904 Mon Sep 17 00:00:00 2001 From: Adam Date: Thu, 30 Oct 2025 15:40:12 -0700 Subject: [PATCH 07/10] Update _chat_client.py --- python/packages/cua/agent_framework_cua/_chat_client.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/python/packages/cua/agent_framework_cua/_chat_client.py b/python/packages/cua/agent_framework_cua/_chat_client.py index aa2d465a48..4eee996f09 100644 --- a/python/packages/cua/agent_framework_cua/_chat_client.py +++ b/python/packages/cua/agent_framework_cua/_chat_client.py @@ -6,10 +6,12 @@ from typing import Any from agent_framework import BaseChatClient, ChatMessage, ChatResponse +from agent_framework._middleware import use_chat_middleware from ._types import CuaModelId +@use_chat_middleware class CuaChatClient(BaseChatClient): """Chat client for Cua integration. From 9e30e900db9c38362ddf2633b1ccf274ea435d34 Mon Sep 17 00:00:00 2001 From: Adam Date: Tue, 11 Nov 2025 03:04:41 -0500 Subject: [PATCH 08/10] Update CUA samples for compatible Docker image Pin all CUA Docker samples to trycua/cua-xfce:latest for Windows/x64 support Drop Anthropic instructions field so Claude requests keep working --- .../getting_started/cua/basic_example/main.py | 12 ++++++++---- .../getting_started/cua/composite_agent/main.py | 10 +++++----- .../cua/workflow_orchestration/main.py | 7 +++++-- 3 files changed, 18 insertions(+), 11 deletions(-) diff --git a/python/samples/getting_started/cua/basic_example/main.py b/python/samples/getting_started/cua/basic_example/main.py index e8468041b5..a27eb9cf41 100644 --- a/python/samples/getting_started/cua/basic_example/main.py +++ b/python/samples/getting_started/cua/basic_example/main.py @@ -16,11 +16,14 @@ async def main(): """Run a basic computer use example with Claude.""" # Initialize Cua computer (Linux Docker container) - async with Computer(os_type="linux", provider_type="docker") as computer: - # Create Cua chat client with model and instructions + async with Computer( + os_type="linux", + provider_type="docker", + image="trycua/cua-xfce:latest", + ) as computer: + # Create Cua chat client with model only (Anthropic rejects extra fields) chat_client = CuaChatClient( model="anthropic/claude-sonnet-4-5-20250929", - instructions="You are a desktop automation assistant. Be precise and careful.", ) # Create middleware @@ -38,7 +41,8 @@ async def main(): # Run agent logger.info("🤖 Starting agent...") - response = await agent.run("Open Firefox and search for 'Python tutorials'") + + response = await agent.run("Open Firefox and open the website 'cua.ai'") logger.info("📥 Response: %s", response) diff --git a/python/samples/getting_started/cua/composite_agent/main.py b/python/samples/getting_started/cua/composite_agent/main.py index ac0867fe11..42ab2b5d53 100644 --- a/python/samples/getting_started/cua/composite_agent/main.py +++ b/python/samples/getting_started/cua/composite_agent/main.py @@ -18,14 +18,14 @@ async def main(): # Use Docker (cross-platform), or change to: # - Computer(os_type="macos", provider_type="lume") for macOS # - Computer(os_type="windows", provider_type="winsandbox") for Windows - async with Computer(os_type="linux", provider_type="docker") as computer: + async with Computer( + os_type="linux", + provider_type="docker", + image="trycua/cua-xfce:latest", + ) as computer: # Create Cua chat client with composite model chat_client = CuaChatClient( model="huggingface-local/ByteDance-Seed/UI-TARS-1.5-7B+openai/gpt-4o", - instructions=( - "You are a desktop automation assistant. " - "Use UI-Tars for precise UI element detection and GPT-4o for planning." - ), ) # Create middleware diff --git a/python/samples/getting_started/cua/workflow_orchestration/main.py b/python/samples/getting_started/cua/workflow_orchestration/main.py index 653ba1b0f6..2a79da4465 100644 --- a/python/samples/getting_started/cua/workflow_orchestration/main.py +++ b/python/samples/getting_started/cua/workflow_orchestration/main.py @@ -34,11 +34,14 @@ async def main(): # Step 2: Cua Automation Agent (Agent Framework Orchestration + Cua Execution) logger.info("\n🤖 Step 2: Cua Automation Agent") - async with Computer(os_type="linux", provider_type="docker") as computer: + async with Computer( + os_type="linux", + provider_type="docker", + image="trycua/cua-xfce:latest", + ) as computer: # Create Cua chat client cua_chat_client = CuaChatClient( model="anthropic/claude-sonnet-4-5-20250929", - instructions="You are an automation assistant. Execute the plan carefully.", ) # Create middleware From 5c432372702a699ebe8be567963bf1d0ffa78f01 Mon Sep 17 00:00:00 2001 From: Adam Date: Tue, 11 Nov 2025 03:18:05 -0500 Subject: [PATCH 09/10] Add platform setup guides for CUA samples add Windows, macOS, and Linux quickstarts under samples/getting_started/cua/setup/ refresh the CUA README to link to the new guides and modernize prerequisites --- python/samples/getting_started/cua/README.md | 35 +++-------- .../getting_started/cua/setup/linux.md | 59 ++++++++++++++++++ .../getting_started/cua/setup/macos.md | 61 +++++++++++++++++++ .../getting_started/cua/setup/windows.md | 56 +++++++++++++++++ 4 files changed, 185 insertions(+), 26 deletions(-) create mode 100644 python/samples/getting_started/cua/setup/linux.md create mode 100644 python/samples/getting_started/cua/setup/macos.md create mode 100644 python/samples/getting_started/cua/setup/windows.md diff --git a/python/samples/getting_started/cua/README.md b/python/samples/getting_started/cua/README.md index 53e34bc21f..ffaa60cbfd 100644 --- a/python/samples/getting_started/cua/README.md +++ b/python/samples/getting_started/cua/README.md @@ -7,14 +7,9 @@ Samples demonstrating how to use Cua with Microsoft Agent Framework for desktop ## Prerequisites -```bash -# Install Cua integration (includes agent-framework-core) -pip install agent-framework-cua - -# Set API keys -export ANTHROPIC_API_KEY="your-key" # For Cua execution (all samples) -export OPENAI_API_KEY="your-key" # Only for workflow_orchestration sample -``` +- Install the samples (`uv sync --dev` from the `python/` folder) +- Set required API keys in your shell (at minimum `ANTHROPIC_API_KEY`; `OPENAI_API_KEY` is only needed for `workflow_orchestration`) +- Pull the desktop image once: `docker pull trycua/cua-xfce:latest` ## Samples @@ -66,28 +61,16 @@ python main.py ### Linux on Docker (Recommended - Cross-platform) -```bash -docker pull --platform=linux/amd64 trycua/cua-xfce:latest -``` - -### macOS VM (macOS hosts only) +See the platform-specific quickstarts in `setup/` for full environment instructions: -```bash -/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/trycua/cua/main/libs/lume/scripts/install.sh)" -lume run macos-sequoia-cua:latest -``` - -### Windows Sandbox (Windows hosts only) - -```bash -# Enable Windows Sandbox in Windows Features -pip install -U git+git://github.com/karkason/pywinsandbox.git -``` +- [`setup/windows.md`](./setup/windows.md) +- [`setup/macos.md`](./setup/macos.md) +- [`setup/linux.md`](./setup/linux.md) ## Resources - [Cua Documentation](https://docs.cua.ai) - - [Computers](https://docs.cua.ai/docs/computer-sdk/computers) - Platform setup guides (Docker, macOS, Windows) - - [Agent Loops](https://docs.cua.ai/docs/agent-sdk/agent-loops) - How Cua's ComputerAgent works + - [Computers](https://docs.cua.ai/docs/computer-sdk/computers) + - [Agent Loops](https://docs.cua.ai/docs/agent-sdk/agent-loops) - [Agent Framework Documentation](https://learn.microsoft.com/agent-framework/) - [Package README](../../../packages/cua/README.md) diff --git a/python/samples/getting_started/cua/setup/linux.md b/python/samples/getting_started/cua/setup/linux.md new file mode 100644 index 0000000000..48a7a9dcbd --- /dev/null +++ b/python/samples/getting_started/cua/setup/linux.md @@ -0,0 +1,59 @@ +# CUA Samples on Linux (WSL or Native) + +Run the CUA getting-started samples on Ubuntu—either native or inside WSL2. + +## Prerequisites + +- Ubuntu 22.04+ (native) or Windows 10/11 with WSL2 (Ubuntu distro) +- Docker Engine or Docker Desktop (with WSL integration enabled) +- Python 3.13 +- [uv](https://docs.astral.sh/uv/) + +For WSL users, enable integration in Docker Desktop → Settings → Resources → WSL Integration. + +## Setup + +```bash +cd ~/workspace +git clone https://github.com/microsoft/agent-framework.git +cd agent-framework/python + +# Install uv +curl -LsSf https://astral.sh/uv/install.sh | sh +source ~/.bashrc # or ~/.zshrc + +# Create & activate venv +uv venv +source .venv/bin/activate + +# Install dependencies +uv sync --dev + +# Set Anthropic key for this shell +export ANTHROPIC_API_KEY="sk-ant-your-key" +``` + +Pull the desktop image: + +```bash +docker pull trycua/cua-xfce:latest +``` + +## Run a Sample + +```bash +python samples/getting_started/cua/basic_example/main.py +``` + +## Common Errors + +| Symptom | Fix | +| --- | --- | +| `Cannot connect to the Docker daemon` | Ensure Docker service is running. On WSL, verify integration is enabled; on native Linux, start Docker (`sudo systemctl start docker`). | +| `permission denied while trying to connect to Docker` | Add your user to the docker group: `sudo usermod -aG docker $USER` then reboot or `wsl --shutdown`. | +| `invalid_request_error: instructions: Extra inputs are not permitted` | Remove `instructions=` from `CuaAgentMiddleware` / `CuaChatClient`; keep guidance in the task prompt. | +| Stuck at “Waiting for VM …” | Remove stale containers: `docker stop trycua_cua-xfce_latest && docker rm trycua_cua-xfce_latest`. | +| Anthropic key missing | Verify `echo $ANTHROPIC_API_KEY` after activating the venv. | +| Slow file access on WSL | Work inside the Linux filesystem (`~/workspace`), not `/mnt/c`. | + + diff --git a/python/samples/getting_started/cua/setup/macos.md b/python/samples/getting_started/cua/setup/macos.md new file mode 100644 index 0000000000..c7f6f3a5d2 --- /dev/null +++ b/python/samples/getting_started/cua/setup/macos.md @@ -0,0 +1,61 @@ +# CUA Samples on macOS + +Run the CUA getting-started samples on macOS Ventura/Monterey (Apple Silicon or Intel). + +## Prerequisites + +- macOS 12+ with administrator access +- [Homebrew](https://brew.sh/) (recommended) +- [Docker Desktop](https://www.docker.com/products/docker-desktop) +- Python 3.13 and [uv](https://docs.astral.sh/uv/) + +Install the basics via Homebrew: + +```bash +/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)" +brew install git python@3.13 uv +brew install --cask docker +``` + +## Setup + +```bash +cd ~/workspace +git clone https://github.com/microsoft/agent-framework.git +cd agent-framework/python + +# Create & activate venv +uv venv +source .venv/bin/activate + +# Install dependencies (DevUI builds fine on macOS) +uv sync --dev + +# Set Anthropic key for this shell +export ANTHROPIC_API_KEY="sk-ant-your-key" +``` + +Ensure Docker Desktop is running (menu bar whale icon steady), then pull the desktop image: + +```bash +docker pull trycua/cua-xfce:latest +``` + +## Run a Sample + +```bash +python samples/getting_started/cua/basic_example/main.py +``` + +## Common Errors + +| Symptom | Fix | +| --- | --- | +| `invalid_request_error: instructions: Extra inputs are not permitted` | Remove `instructions=` from `CuaAgentMiddleware` / `CuaChatClient`; provide guidance via the task prompt. | +| Docker command not found | Start Docker Desktop: `open -a Docker`. Wait until it reports “Docker is running”. | +| `RuntimeError: CuaChatClient._inner_get_response should not be called` | Always instantiate `ChatAgent` with `CuaAgentMiddleware`; do not call the chat client directly. | +| Container reuses old ports | Stop/remove: `docker stop trycua_cua-xfce_latest && docker rm trycua_cua-xfce_latest`. | +| Anthropic auth errors | Confirm `export ANTHROPIC_API_KEY=...` in the active shell (or store in `.env` / shell profile). | +| Want native macOS automation | Install Lume (`/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/trycua/cua/main/libs/lume/scripts/install.sh)"`) and switch `Computer(os_type="linux", provider_type="docker", ...)` to `Computer(os_type="macos", provider_type="lume")`. | + + diff --git a/python/samples/getting_started/cua/setup/windows.md b/python/samples/getting_started/cua/setup/windows.md new file mode 100644 index 0000000000..6f334d57a6 --- /dev/null +++ b/python/samples/getting_started/cua/setup/windows.md @@ -0,0 +1,56 @@ +# CUA Samples on Windows + +This quickstart runs the CUA getting-started samples on native Windows 10/11 using PowerShell. + +## Prerequisites + +- Windows 10/11 with administrator access +- [Docker Desktop](https://www.docker.com/products/docker-desktop) (Linux container mode) +- [Python 3.13](https://www.python.org/downloads/) and `pip` +- [uv](https://docs.astral.sh/uv/) (`powershell -c "irm https://astral.sh/uv/install.ps1 | iex"`) +- Optional: Visual C++ Build Tools if you plan to install DevUI extras + +## Setup + +```powershell +# Clone the repo +cd C:\src +git clone https://github.com/microsoft/agent-framework.git +cd agent-framework\python + +# Create and activate a Python 3.13 virtual environment +uv python install 3.13 +uv venv --python 3.13 +.venv\Scripts\Activate.ps1 + +# Install dependencies (skip DevUI which requires build tools) +uv sync --dev --no-install-package agent-framework-devui + +# Set Anthropic key for this session +$env:ANTHROPIC_API_KEY = "sk-ant-your-key" +``` + +Pull the desktop image once: + +```powershell +docker pull trycua/cua-xfce:latest +``` + +## Run a Sample + +```powershell +python samples\getting_started\cua\basic_example\main.py +``` + +## Common Errors + +| Symptom | How to fix | +| --- | --- | +| `invalid_request_error: instructions: Extra inputs are not permitted` | Remove any `instructions=` arguments from `CuaAgentMiddleware` or `CuaChatClient`. Supply guidance in the user prompt instead. | +| Sample hangs after “Starting VM …” | Docker Desktop is still starting or a stale container exists. Restart Docker or run `docker stop trycua_cua-xfce_latest` followed by `docker rm trycua_cua-xfce_latest`. | +| `Bind for 0.0.0.0:8006 failed: port is already allocated` | Another process/container uses the port. Stop the old container or override ports via `Computer(..., api_port=, vnc_port=)`. | +| `RuntimeError: CuaChatClient._inner_get_response should not be called` | Always create a `ChatAgent` with `CuaAgentMiddleware`; never call the chat client directly. | +| `ANTHROPIC_API_KEY present? False` | The key isn’t set in the active shell. Run `$env:ANTHROPIC_API_KEY = "sk-..."` after activating the venv or persist it via `setx`. | +| `docker: no matching manifest for linux/amd64` | You pulled `trycua/cua-ubuntu:latest`. Use `trycua/cua-xfce:latest` for amd64 hosts. | + + From d194bda34653cc5362266690e5667183bc49ad77 Mon Sep 17 00:00:00 2001 From: Adam Date: Tue, 18 Nov 2025 18:30:09 -0500 Subject: [PATCH 10/10] Clean up CUA integration comments --- python/packages/cua/README.md | 2 +- python/packages/cua/agent_framework_cua/__init__.py | 2 +- .../packages/cua/agent_framework_cua/_chat_client.py | 2 +- python/packages/cua/agent_framework_cua/_middleware.py | 10 +++++----- .../samples/getting_started/cua/basic_example/main.py | 2 +- 5 files changed, 9 insertions(+), 9 deletions(-) diff --git a/python/packages/cua/README.md b/python/packages/cua/README.md index c6cc768541..1923c0b2a2 100644 --- a/python/packages/cua/README.md +++ b/python/packages/cua/README.md @@ -73,7 +73,7 @@ async def main(): require_approval=True, ) - # Create Agent Framework agent - no dummy variables! + # Create Agent Framework agent agent = ChatAgent( chat_client=chat_client, middleware=[cua_middleware], diff --git a/python/packages/cua/agent_framework_cua/__init__.py b/python/packages/cua/agent_framework_cua/__init__.py index addb5819cc..f96b0ce3e8 100644 --- a/python/packages/cua/agent_framework_cua/__init__.py +++ b/python/packages/cua/agent_framework_cua/__init__.py @@ -28,7 +28,7 @@ ... # Create middleware ... middleware = CuaAgentMiddleware(computer=computer) ... - ... # Create agent - no dummy variables! + ... # Create agent ... agent = ChatAgent( ... chat_client=chat_client, ... middleware=[middleware], diff --git a/python/packages/cua/agent_framework_cua/_chat_client.py b/python/packages/cua/agent_framework_cua/_chat_client.py index 4eee996f09..490d10034e 100644 --- a/python/packages/cua/agent_framework_cua/_chat_client.py +++ b/python/packages/cua/agent_framework_cua/_chat_client.py @@ -42,7 +42,7 @@ class CuaChatClient(BaseChatClient): # Create middleware middleware = CuaAgentMiddleware(computer=computer) - # Create agent - no dummy variables needed! + # Create agent agent = ChatAgent( chat_client=chat_client, middleware=[middleware], diff --git a/python/packages/cua/agent_framework_cua/_middleware.py b/python/packages/cua/agent_framework_cua/_middleware.py index 1337329813..e9777446c0 100644 --- a/python/packages/cua/agent_framework_cua/_middleware.py +++ b/python/packages/cua/agent_framework_cua/_middleware.py @@ -115,7 +115,7 @@ def __init__( self.require_approval = require_approval self.approval_interval = approval_interval - # Will be initialized in first process() call when we have access to chat_client + # Will be initialized in first process() call when chat_client is available self.cua_agent: ComputerAgent | None = None self._step_count = 0 @@ -140,7 +140,7 @@ async def process( Args: context: Chat context containing messages and options - next: Function to call next middleware (not used - we override execution) + next: Function to call next middleware (not used; execution is handled by Cua) """ # Initialize Cua agent on first call if self.cua_agent is None: @@ -169,7 +169,7 @@ async def process( max_trajectory_budget=self.max_trajectory_budget, ) - # Check if we need approval before proceeding + # Check if approval is required before proceeding if self.require_approval and self._should_request_approval(): approved = await self._request_approval(context, next) if not approved: @@ -195,7 +195,7 @@ async def process( except Exception as e: context.result = self._create_error_response(str(e)) - # Terminate execution - we've handled it + # Terminate execution since Cua handles the complete agent loop context.terminate = True def _extract_messages(self, context: ChatContext) -> list[dict[str, Any]]: @@ -355,7 +355,7 @@ def _convert_content_block(self, block: Any) -> dict[str, Any]: if block.get("type") == "image": return {"type": "image", "source": block.get("source")} return block - # If it's an object with attributes + # If the block is an object with attributes if hasattr(block, "text"): return {"type": "text", "text": block.text} return {"type": "text", "text": str(block)} diff --git a/python/samples/getting_started/cua/basic_example/main.py b/python/samples/getting_started/cua/basic_example/main.py index a27eb9cf41..0cd2aa91b6 100644 --- a/python/samples/getting_started/cua/basic_example/main.py +++ b/python/samples/getting_started/cua/basic_example/main.py @@ -21,7 +21,7 @@ async def main(): provider_type="docker", image="trycua/cua-xfce:latest", ) as computer: - # Create Cua chat client with model only (Anthropic rejects extra fields) + # Create Cua chat client with model configuration chat_client = CuaChatClient( model="anthropic/claude-sonnet-4-5-20250929", )