面向Agent管线的LLM回退恢复层，保持模式完整性
英文摘要
When LLM rate limits trigger model fallbacks, structured outputs in agent pipelines can be silently corrupted because fallback models may receive incompatible payloads. To solve this, a recovery layer was built that classifies failure types, adapts payloads across different model tiers, preserves execution state, and maintains schema integrity during provider swaps. The solution ensures robust agent pipelines even under rate-limit-induced fallbacks.
中文摘要
当LLM速率限制触发模型回退时，Agent管线中的结构化输出可能因回退模型收到不兼容负载而静默损坏。为解决此问题，构建了一个恢复层，可对失败类型分类、跨模型层级适配负载、保持执行状态并在提供商切换时维护模式完整性。该方案确保即使在速率限制引发的回退下，Agent管线也能稳健运行。
关键要点
LLM rate limits can cause fallbacks that corrupt structured outputs in agent pipelines.
LLM速率限制可能引发回退，损坏Agent管线中的结构化输出。
A recovery layer classifies failures, adapts payloads across model tiers, and preserves execution state.
恢复层对失败进行分类，跨模型层级适配负载，并保持执行状态。
The layer maintains schema integrity during provider swaps, preventing silent output corruption.
该层在提供商切换时维护模式完整性，防止输出静默损坏。
The solution addresses a missing robustness piece in agent pipeline design.
该方案弥补了Agent管线设计中缺失的鲁棒性环节。