How do you design a robust retry strategy for LLM API failures?

Retry strategies use exponential backoff, jitter, and fallback models to handle transient LLM API failures safely.

LLM APIs can fail due to rate limits, timeouts, or server overload. A robust retry system avoids retry storms using exponential backoff and randomized jitter. It also differentiates between retryable and non-retryable errors. In advanced systems, retries may switch to cheaper or cached models to maintain service continuity.