LLM Fallbacks Break Agent Pipelines — I Built the Missing Recovery Layer
中文摘要
作者开发了一个恢复层，旨在解决LLM回退导致Agent流水线输出损坏的问题，通过适配负载和维护架构完整性来确保系统稳定性。
English Summary
The author built a recovery layer to prevent LLM fallback failures from corrupting structured agent outputs by adapting payloads and maintaining schema integrity during model swaps.
原文节选
LLM rate limits don't just interrupt agent pipelines—they can silently corrupt structured outputs when fallback models receive incompatible payloads. I built a recovery layer that classifies failures, adapts payloads across model tiers, preserves execution state, and maintains schema integrity during provider swaps. The post LLM Fallbacks Break Agent Pipelines — I Built the Missing Recovery Layer appeared first on Towards Data Science.