Operations Guide
AI Error Handling Best Practices Guide (2026) - Graceful Degradation
AI errors need graceful handling: retry with backoff, fallback to cached/alternative responses, circuit breaker for persistent failures, and clear user communication.
Direct answer
AI errors need graceful handling: retry with backoff, fallback to cached/alternative responses, circuit breaker for persistent failures, and clear user communication.
Fast path
- Implement retries: exponential backoff, max 3 retries, skip for 4xx errors.
- Design fallbacks: cached responses, alternative model, simplified response, human handoff.
- Configure circuit breaker: trip after 5 consecutive failures, reset after 30 seconds.
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Implementation Steps
- Implement retries: exponential backoff, max 3 retries, skip for 4xx errors.
- Design fallbacks: cached responses, alternative model, simplified response, human handoff.
- Configure circuit breaker: trip after 5 consecutive failures, reset after 30 seconds.
- Communicate to users: show loading state, explain delays, offer alternatives on failure.
Frequently Asked Questions
How to handle AI API timeouts?
Handle AI timeouts: implement timeout threshold (5-10 seconds), retry with exponential backoff (max 3 attempts), fallback to cached response or alternative model, log timeout for monitoring, and show loading indicator to users.
What is a circuit breaker for AI?
AI circuit breaker: stop calling failing API after threshold failures (5 consecutive), wait before retrying (30-60 seconds), reset circuit when API responds successfully. Prevents cascading failures and allows recovery.
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