AI API Gateway Troubleshooting

Common Issues & Solutions

• High Latency

  Requests taking longer than expected? Check network routing, provider performance, and caching configuration. Implement connection pooling and optimize retry strategies.

  Quick Fix

  Enable response caching and reduce timeout values. Monitor network metrics to identify bottlenecks.

• Connection Timeouts

  Gateway failing to connect to AI providers? Verify API credentials, check network connectivity, and review timeout settings. Increase timeout values for large requests.

  Quick Fix

  Set timeout to 60s for streaming responses. Implement exponential backoff for retries.

• Authentication Failures

  API key errors or authentication rejected? Verify credentials, check API key rotation, and ensure correct authentication method. Review provider documentation for updates.

  Quick Fix

  Regenerate API keys and update gateway configuration. Test with fresh credentials.

• Rate Limiting Errors

  Exceeding API rate limits? Implement client-side rate limiting, use multiple API keys, and add intelligent queuing. Monitor usage patterns to optimize requests.

  Quick Fix

  Distribute requests across multiple keys. Implement backoff strategy on 429 errors.

• Configuration Errors

  Gateway misconfigured or routing issues? Validate configuration files, check routing rules, and verify endpoint mappings. Test with debug mode enabled.

  Quick Fix

  Run configuration validation. Check YAML/JSON syntax. Enable debug logging.

Debugging Commands

Use these commands to diagnose gateway issues: