Implementing robust retry and fallback mechanisms is essential for building reliable LLM applications that gracefully handle failures and degradation.

Retry strategies help overcome transient failures in LLM API requests by automatically re-attempting failed calls with exponential backoff

Fallback mechanisms allow applications to switch to alternative models or services when the primary LLM provider experiences outages or failures

Proper implementation of these patterns improves application resilience and provides better user experience during service disruptions