LLM Fallbacks Break Agent Pipelines — I Built the Missing Recovery Layer
Towards Data Science
LLM rate limits can silently corrupt agent pipelines when fallback models receive incompatible payloads. The author built a recovery layer that classifies failures, adapts payloads across model tiers, preserves execution state, and maintains schema integrity during provider swaps. This solution addresses a critical gap in agent reliability.
Read original source →AgentsInfrastructureToolsLLM