When integrating with the AI Gateway, consider the following:

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1. Authentication

Agents need to authenticate with the AI Gateway to access models. This typically involves:

  • API Keys: Secure API keys for authentication
  • OAuth: OAuth-based authentication for more complex scenarios
  • JWT Tokens: JSON Web Tokens for stateless authentication

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2. Request Formatting

Requests to the AI Gateway should follow standard formats:

{
  "model": "gpt-4",
  "messages": [
    {"role": "system", "content": "You are a helpful assistant."},
    {"role": "user", "content": "Hello, can you help me with a task?"}
  ],
  "temperature": 0.7,
  "max_tokens": 150
}

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3. Error Handling

Implement robust error handling for AI Gateway interactions:

  • Retry Logic: Retry failed requests with exponential backoff
  • Fallback Models: Use alternative models when primary models are unavailable
  • Graceful Degradation: Provide reduced functionality when models are unavailable
  • Error Reporting: Report errors to the telemetry system for analysis

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4. Telemetry Integration

To fully benefit from the AI Gateway’s telemetry capabilities:

  • Request IDs: Include request IDs in all model interactions
  • Trace Context: Propagate trace context across agent boundaries
  • Span Annotations: Add annotations to telemetry spans for better visibility
  • Custom Metrics: Define custom metrics for monitoring specific aspects of your agent