OpenAI Computer-Using Agent (CUA): Native Computer Control Model

OpenAI Computer-Using Agent (CUA): Native Computer Control Model

OpenAI's Computer-Using Agent (CUA) is a vision-enabled AI model that can control computers through screenshots and structured action commands, available directly through OpenAI's API and as the foundation for Azure's Computer Use capabilities.

Features

Computer Use Preview Model

Specialized computer-use-preview model designed specifically for computer control tasks, accessible via OpenAI's Responses API with integrated screenshot processing and action generation capabilities.

Screenshot + Action Loop

Takes screenshots and environment context (screen size, OS/browser type) as input and returns structured actions like click(x,y), type("text"), scroll, and navigation commands for execution by client applications.

Local and Cloud Deployment

Flexibility to run automation agents locally on personal computers or in cloud environments (containers, VMs), supporting both personal productivity and enterprise-scale automation scenarios.

Sample Application Reference

OpenAI provides a reference implementation (Computer Using Agent sample app on GitHub) demonstrating local desktop control with screenshot capture and action execution on the user's own machine.

Multi-Tool Orchestration

Combine Computer Use with other tools in the Responses API including web search, custom REST APIs, code execution, and data processing tools for comprehensive agentic workflows.

Context-Aware Automation

Understands screen context and adapts to different operating systems (Windows, macOS, Linux) and browser environments for flexible cross-platform automation.

Key Capabilities

  • Cross-Platform Support: Works with Windows, macOS, and Linux environments
  • Browser Control: Navigate websites, interact with web applications
  • Desktop Application Control: Automate native desktop software
  • Form Filling: Intelligent completion of web and application forms
  • Data Extraction: Collect information from UI elements
  • Multi-Step Workflows: Execute complex task sequences autonomously

Technical Implementation

API Integration

POST https://api.openai.com/v1/responses
{
  "model": "computer-use-preview",
  "tools": [{"type": "computer_use_preview", ...}],
  "input": [{"type": "message", "content": "..."}]
}

Action Execution Loop

  1. Send screenshot and task description to OpenAI API
  2. Receive structured action commands from model
  3. Execute actions on target system (mouse/keyboard)
  4. Capture new screenshot reflecting changes
  5. Send screenshot back to API for next action
  6. Repeat until task completion

Integration Options

  • OpenAI API Direct: First-party API access without intermediaries
  • Azure OpenAI Service: Enterprise deployment through Microsoft Azure
  • Custom Agent Applications: Build tailored automation tools
  • Third-Party Platforms: Integration with automation frameworks

Comparison with Azure Version

The OpenAI CUA is the same underlying model as Azure's computer-use-preview, but: - OpenAI Direct: Access through OpenAI API, simpler authentication - Azure Version: Enhanced with Azure security, governance, Key Vault integration - Deployment: OpenAI for individual/team use, Azure for enterprise scale - Billing: Different pricing models and enterprise agreements

Safety Considerations

  • Run in controlled test environments to prevent unintended actions
  • Implement human oversight for sensitive operations
  • Review generated actions before execution in production
  • Log all activities for audit trails
  • Avoid exposing sensitive credentials or data

Best For

  • Developers preferring OpenAI's API over Azure infrastructure
  • Personal automation projects on local machines
  • Rapid prototyping of computer control applications
  • Teams without Azure enterprise requirements
  • Projects requiring direct integration with OpenAI ecosystem
  • Cross-platform automation tools development
  • Research and experimentation in AI computer control

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