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Environment Setup

Auto-Browse supports various Language Model (LLM) providers to power its AI capabilities. This guide covers the setup for each supported provider.

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OpenAI Configuration

OpenAI is the default and currently supported LLM provider.

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Setup Steps

  1. Get your OpenAI API key:

    • Go to OpenAI’s platform
    • Create an account or sign in
    • Navigate to API keys
    • Create a new API key

  2. Configure your environment:

OPENAI_API_KEY=your_openai_api_key_here
LLM_MODEL=gpt-4o-mini  # Optional, defaults to gpt-4o-mini

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Model Options

OpenAI models supported:

  • gpt-4o-mini (default)
  • Compatible GPT models

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Upcoming Provider Support

The following LLM providers will be supported in future releases:

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Anthropic Claude

ANTHROPIC_API_KEY=your_anthropic_key_here
LLM_PROVIDER=anthropic
LLM_MODEL=claude-3  # Example model

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Google Gemini

GOOGLE_API_KEY=your_google_key_here
LLM_PROVIDER=gemini
LLM_MODEL=gemini-pro  # Example model

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Local LLMs

Support for running models locally using providers like:

  • Ollama
  • LMStudio
  • LocalAI

Configuration will be available in future releases.

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Meta Llama

Integration with Meta’s Llama models will be supported through various hosting options.

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Advanced Configuration

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Timeout Settings

Configure timeouts for AI operations:

AUTO_BROWSE_TIMEOUT=60000  # Default 60s
AUTO_BROWSE_OPERATION_TIMEOUT=10000  # Default 10s

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Debug Mode

Enable detailed logging for troubleshooting:

AUTO_BROWSE_DEBUG=true  # Enables debug logging

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Custom Endpoints

For enterprise setups or custom model deployments:

LLM_API_ENDPOINT=https://your-custom-endpoint

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Best Practices

  1. API Key Security

    • Never commit API keys to version control
    • Use environment variables or secret management
    • Rotate keys periodically

  2. Model Selection

    • Start with default model for basic operations
    • Test different models for specific use cases
    • Consider cost vs. performance tradeoffs

  3. Error Handling

    • Implement proper error handling
    • Monitor API rate limits
    • Set appropriate timeouts

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Troubleshooting

Common issues and solutions:

  1. API Key Issues
Error: Authentication failed
Solution: Verify API key is correct and has proper permissions
  1. Model Availability
Error: Model not available
Solution: Confirm model name and availability in your region
  1. Rate Limits
Error: Rate limit exceeded
Solution: Implement backoff strategy or upgrade API tier

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Next Steps