Api Error Handling

What it does

This skill equips AI agents to robustly manage API failures by automatically retrying failed requests and gracefully handling error responses. It ensures backend operations remain stable even when external services are temporarily unavailable or return unexpected status codes.

When to use it

• Retry Logic: Implement automatic retries for transient network errors or rate-limited endpoints without manual intervention.
• Error Transformation: Convert raw HTTP error codes into user-friendly messages or structured internal logs for debugging.
• Circuit Breaker Patterns: Prevent cascading failures by stopping requests to a failing service after a threshold of consecutive errors.
• Fallback Strategies: Trigger alternative data sources or default values when primary API calls fail consistently.

Key capabilities

• Automatic request retry mechanisms with configurable delays.
• Parsing and categorization of HTTP status codes (e.g., 4xx vs. 5xx).
• Structured error logging for observability and debugging.
• Graceful degradation of functionality during service outages.

Example prompts

• "Retry the user profile fetch three times with exponential backoff if it fails due to a network timeout."
• "If the payment gateway returns a 503 Service Unavailable, log the error and notify the admin dashboard instead of crashing the transaction flow."
• "Handle API errors by returning a default cached response when the live data source is unreachable."

Tips & gotchas

Ensure your retry logic includes jitter or exponential backoff to avoid overwhelming the target service during outages. Always distinguish between client errors (like 401 Unauthorized) and server errors (like 500 Internal Server Error), as retries are generally ineffective for the former.