Skip to main content

CUA (Computer Use) Agent for AI-driven computer interaction

Project description

Shows my svg

Python macOS Discord PyPI

cua-agent is a general Computer-Use framework with liteLLM integration for running agentic workflows on macOS, Windows, and Linux sandboxes. It provides a unified interface for computer-use agents across multiple LLM providers with advanced callback system for extensibility.

Features

  • Safe Computer-Use/Tool-Use: Using Computer SDK for sandboxed desktops
  • Multi-Agent Support: Anthropic Claude, OpenAI computer-use-preview, UI-TARS, Omniparser + any LLM
  • Multi-API Support: Take advantage of liteLLM supporting 100+ LLMs / model APIs, including local models (huggingface-local/, ollama_chat/, mlx/)
  • Cross-Platform: Works on Windows, macOS, and Linux with cloud and local computer instances
  • Extensible Callbacks: Built-in support for image retention, cache control, PII anonymization, budget limits, and trajectory tracking

Install

pip install "cua-agent[all]"

Quick Start

import asyncio
import os
from agent import ComputerAgent
from computer import Computer

async def main():
    # Set up computer instance
    async with Computer(
        os_type="linux",
        provider_type="cloud",
        name=os.getenv("CUA_CONTAINER_NAME"),
        api_key=os.getenv("CUA_API_KEY")
    ) as computer:

        # Create agent
        agent = ComputerAgent(
            model="anthropic/claude-3-5-sonnet-20241022",
            tools=[computer],
            only_n_most_recent_images=3,
            trajectory_dir="trajectories",
            max_trajectory_budget=5.0  # $5 budget limit
        )

        # Run agent
        messages = [{"role": "user", "content": "Take a screenshot and tell me what you see"}]

        async for result in agent.run(messages):
            for item in result["output"]:
                if item["type"] == "message":
                    print(item["content"][0]["text"])

if __name__ == "__main__":
    asyncio.run(main())

Docs

License

MIT License - see LICENSE file for details.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cua_agent-0.4.38.tar.gz (127.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

cua_agent-0.4.38-py3-none-any.whl (160.3 kB view details)

Uploaded Python 3

File details

Details for the file cua_agent-0.4.38.tar.gz.

File metadata

  • Download URL: cua_agent-0.4.38.tar.gz
  • Upload date:
  • Size: 127.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.9

File hashes

Hashes for cua_agent-0.4.38.tar.gz
Algorithm Hash digest
SHA256 a4f2fb7e3b580511a5dbaa7f95feefca026428ccbe4cd4863ceb98372896e154
MD5 8dc0ad63c76d0081c525712318039654
BLAKE2b-256 22857742b96fbf8be4100d0dda8d85846c09b2a7bbfec8ce60b3957bb98e3282

See more details on using hashes here.

File details

Details for the file cua_agent-0.4.38-py3-none-any.whl.

File metadata

  • Download URL: cua_agent-0.4.38-py3-none-any.whl
  • Upload date:
  • Size: 160.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.9

File hashes

Hashes for cua_agent-0.4.38-py3-none-any.whl
Algorithm Hash digest
SHA256 bc3371dc0daeba8c924ae5a30f5586f61a1f5979a4faa5d5e981950977fd19ff
MD5 486111e8fe972e7219aac4fd8981a3bb
BLAKE2b-256 2ab97364e2c421643126ccfffe8c2b282f94d3e561379c1e3fe2909e591cb652

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page