Structured Outputs vs. Function Calling: Which Should Your Agent Use?
Language models (LMs), at their core, are text-in and text-out systems.
Towards Data Science·
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.
Read full articleLanguage models (LMs), at their core, are text-in and text-out systems.