{"id":4918,"library":"cua-agent","title":"Cua Agent","description":"Cua (Computer Use) Agent is a Python library designed for AI-driven computer interaction, allowing large language models to perceive and act upon a graphical user interface. It focuses on enabling agents to understand screen content and execute actions like clicking, typing, and dragging programmatically. The current version is 0.7.38, and it is under active, rapid development with frequent releases.","status":"active","version":"0.7.38","language":"en","source_language":"en","source_url":"https://github.com/astutejoe/cua","tags":["AI","agent","automation","GUI","LLM"],"install":[{"cmd":"pip install cua-agent","lang":"bash","label":"Core Installation"},{"cmd":"pip install \"cua-agent[mac]\" # For macOS users\npip install \"cua-agent[win]\" # For Windows users","lang":"bash","label":"Platform-Specific Dependencies"}],"dependencies":[{"reason":"Data validation and settings management.","package":"pydantic","optional":false},{"reason":"Interacting with OpenAI's API or compatible LLM providers.","package":"openai","optional":false},{"reason":"Image processing for screenshots.","package":"pillow","optional":false},{"reason":"Core library for programmatic GUI control.","package":"pyautogui","optional":false},{"reason":"Image processing for screen analysis (e.g., OCR, element detection).","package":"opencv-python","optional":false},{"reason":"Required for macOS-specific GUI interactions.","package":"appscript","optional":true},{"reason":"Required for Windows-specific GUI interactions.","package":"pywin32","optional":true}],"imports":[{"symbol":"CuaAgent","correct":"from cua_agent.agent import CuaAgent"},{"symbol":"CuaConfig","correct":"from cua_agent.config import CuaConfig"},{"symbol":"get_full_screen_screenshot","correct":"from cua_agent.utils import get_full_screen_screenshot"}],"quickstart":{"code":"import os\nfrom cua_agent.agent import CuaAgent\nfrom cua_agent.config import CuaConfig\n\n# Ensure OPENAI_API_KEY is set in your environment\n# or pass it directly to CuaConfig\nopenai_api_key = os.environ.get('OPENAI_API_KEY', 'sk-your-openai-key')\nif not openai_api_key or openai_api_key == 'sk-your-openai-key':\n    print(\"Warning: OPENAI_API_KEY environment variable not set. Please set it or provide it in CuaConfig.\")\n\nconfig = CuaConfig(\n    openai_api_key=openai_api_key,\n    model='gpt-4o' # Or another suitable multimodal model\n)\n\nagent = CuaAgent(config=config)\n\n# Example: Ask the agent to open a browser and navigate\n# This assumes a browser (like Chrome/Edge) is installed\n# and can be opened by 'command-space'/'windows-key' search.\n# Actual execution depends on your OS and installed applications.\ntry:\n    print(\"Agent performing task...\")\n    # Note: This is an example, actual commands might vary based on your system and language.\n    # The agent uses LLM reasoning to interpret this and interact with your GUI.\n    agent.run_task(\"Open a web browser and navigate to example.com\")\n    print(\"Agent task completed.\")\nexcept Exception as e:\n    print(f\"An error occurred: {e}\")\n    print(\"Please ensure you have platform-specific dependencies installed (e.g., pip install \\\"cua-agent[mac]\\\")\")\n    print(\"and your OpenAI API key is correctly configured.\")\n","lang":"python","description":"This quickstart demonstrates how to initialize the Cua Agent with a configuration, including your OpenAI API key, and run a simple task. Remember to install platform-specific dependencies (e.g., `[mac]` or `[win]`) and ensure your OpenAI API key is available via environment variable or direct configuration."},"warnings":[{"fix":"Ensure you install with the correct extra: `pip install \"cua-agent[mac]\"` for macOS or `pip install \"cua-agent[win]\"` for Windows.","message":"Cua Agent requires platform-specific dependencies for full functionality on macOS and Windows. Installing only `pip install cua-agent` provides core features, but GUI interaction requires additional `[mac]` or `[win]` extras.","severity":"gotcha","affected_versions":"All versions"},{"fix":"Set your `OPENAI_API_KEY` environment variable or pass `openai_api_key` directly to `CuaConfig` during initialization.","message":"An OpenAI API key (or a compatible LLM provider endpoint) and a multimodal model (e.g., `gpt-4o`) are mandatory for the agent to function. Misconfiguration or missing keys will prevent the agent from running tasks.","severity":"gotcha","affected_versions":"All versions"},{"fix":"Design tasks robustly, consider screen stability, and be prepared for potential failures. Debugging often involves examining screenshots the agent 'sees' and refining prompts.","message":"GUI automation is inherently fragile. Small changes in UI elements, screen resolution, or application states can break agent tasks. The agent's performance depends heavily on the clarity of the screen and the robustness of the underlying LLM's visual understanding.","severity":"gotcha","affected_versions":"All versions"},{"fix":"Monitor resource usage during development. Optimize task design to minimize unnecessary interactions or repeated screen captures where possible. Be mindful of LLM API costs.","message":"The agent can be resource-intensive, particularly due to frequent screen capturing, image processing, and LLM API calls. This can lead to high CPU, memory, and network usage, incurring costs for API calls.","severity":"gotcha","affected_versions":"All versions"}],"env_vars":null,"last_verified":"2026-04-12T00:00:00.000Z","next_check":"2026-07-11T00:00:00.000Z"}