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AITowards Data Scienceabout 5 hours ago
LLM Fallbacks Break Agent PipelinesStandard model swapping during rate limits forces production AI to accept corrupted data. A basic fallback router shows 100% completion but drops schema integrity to 0%. The author built a zero-dependency, state-aware recovery layer that catches errors, rebuilds payloads for backup models, and saves agent progress before swapping.
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