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Overview

This guide covers robust error handling patterns for production use:
  • Catching specific errors
  • Implementing fallback behavior
  • Retry logic with exponential backoff
  • Logging and monitoring
  • Graceful degradation

Basic Error Handling

Handle the most common errors:

Fallback Behavior

Provide default responses when the API fails:

Retry Logic with Exponential Backoff

Implement retry logic for transient failures:

Logging for Production

Comprehensive logging for debugging and monitoring:

Circuit Breaker Pattern

Prevent cascading failures:

Graceful Degradation

Handle API unavailability gracefully:

Error Reporting and Monitoring

Integration with error tracking services:

Best Practices

Never let API failures completely break your application. Always have a fallback strategy.
Set reasonable timeouts for API calls to prevent hanging requests.
Include request IDs, user IDs, and other context in your logs for easier debugging.
Track error rates and set up alerts for unusual spikes.
Only retry on transient errors (5xx, network issues). Don’t retry on 4xx errors.
Implement circuit breakers to prevent cascading failures in high-traffic applications.
Regularly test your error handling code to ensure fallbacks work as expected.

Next Steps

API Reference

See all error types and their properties

Basic Examples

Learn basic SDK usage patterns