LLM API Retry Strategy Calculator

Design an exponential backoff retry strategy for your LLM API calls.

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Size your retry behavior before it bites you in production

LLM APIs throttle and occasionally fail, so any serious integration needs retry logic. Get the parameters wrong and you either give up too soon or stack delays that blow past your request timeout. This calculator turns your base delay, retry count, multiplier, and jitter choice into a concrete schedule — every attempt’s delay, the running total, and the worst-case budget you need to allow.

How it works

For attempt number n (starting at zero), the base delay is multiplied by the multiplier raised to the power of n, then capped at the maximum delay you set. The tool then applies your chosen jitter mode: none leaves the delay exact; full jitter shows the range from zero to the computed delay; equal jitter shows half the delay fixed plus a random half. It sums the upper bound of every delay to give the worst-case cumulative wait, which is the figure you add your per-call latency to when choosing an overall timeout. The schedule is laid out attempt by attempt so you can see exactly how long a fully-failing request would take.

Tips and notes

A multiplier of 2 with full jitter is a well-tested default for most API clients. Set a maximum delay cap so a high retry count does not produce minute-long waits. Only retry transient failures — 429 and 5xx responses and network errors — and pass through 4xx client errors immediately. Remember the worst case stacks both the backoff and the actual call time on every attempt, so your timeout budget must cover both. When a provider returns a Retry-After header, honor it instead of your computed delay; the calculator is for the cases where it does not.

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