Anthropic computer use is fully supported in Portkey. For more information on the computer use tool, please refer to the Anthropic documentation.

​

Usage

    from portkey_ai import Portkey

    # Initialize the Portkey client
    portkey = Portkey(
        api_key="PORTKEY_API_KEY",  # Replace with your Portkey API key
        provider="@PROVIDER",
        strict_open_ai_compliance="false"


    )

    # Create the request
    response = portkey.chat.completions.create(
      anthropic_beta="computer-use-2025-01-24",
      model="claude-opus-4-20250514",
      max_tokens=3000,
      thinking={
          "type": "enabled",
          "budget_tokens": 2030
      },
      stream=False,

      tools=[
        {
            "type": "computer",
            "computer": {
                "name": "computer_20250124",
                "display_width_px": 1024,
                "display_height_px": 768,
                "display_number": 1,
            }
        },
        {
            "type": "text_editor_20250429",
            "name": "str_replace_based_edit_tool"
        },
        {
            "type": "bash_20250124",
            "name": "bash"
        }
      ],
      messages=[
        {
            "role": "user",
            "content": "Save a picture of a cat to my desktop."
        }
      ]
      )
      print(response)

​

Portkey Features

Now that you have enterprise-grade Anthropic Computer Use setup, let’s explore the comprehensive features Portkey provides to ensure secure, efficient, and cost-effective AI-assisted development.

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1. Comprehensive Metrics

Using Portkey you can track 40+ key metrics including cost, token usage, response time, and performance across all your LLM providers in real time. Filter these metrics by developer, team, or project using custom metadata.

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2. Advanced Logs

Portkey’s logging dashboard provides detailed logs for every request made by Anthropic Computer Use. These logs include:

• Complete request and response tracking
• Code context and generation metrics
• Developer attribution
• Cost breakdown per coding session

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3. Unified Access to 250+ LLMs

Easily switch between 250+ LLMs for different coding tasks. Use GPT-4 for complex architecture decisions, Claude for detailed code reviews, or specialized models for specific languages - all through a single interface.

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4. Advanced Metadata Tracking

Track coding patterns and productivity metrics with custom metadata:

• Language and framework usage
• Code generation vs completion tasks
• Time-of-day productivity patterns
• Project-specific metrics

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5. Enterprise Access Management

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6. Reliability Features

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7. Advanced Guardrails

Protect your codebase and enhance security with real-time checks on AI interactions:

• Prevent exposure of API keys and secrets
• Block generation of malicious code patterns
• Enforce coding standards and best practices
• Custom security rules for your organization
• License compliance checks

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FAQs

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Next Steps

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