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Every Way LLM Provider Failover Breaks in Production

This story is from 2026-09-09. It is preserved in the archive; the latest stories are on the live feed.

TL;DR Basic retry and fallback logic often fails in production because LLM APIs introduce streaming, tokenization, and schema constraints absent from traditional REST services. Mid-stream network drops, tool-call argument mismatches, and cascading rate limits turn naive fallback loops into incident…

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  1. 2026-09-09 14:48 · DEV Community — AI
    Every Way LLM Provider Failover Breaks in Production

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