Full talk video: tiered LLM routing with caching and confidence-based escalation

colinmcnamara · x · 2026-10-24

The author shares the full video of their Austin LangChain talk on tiered cognition routing: route requests, disable thinking when unnecessary, reuse cached answers, and escalate to a larger model only when the small one misses the confidence bar.

Related event: Talk on Tiered Inference Routing: Small Models First, Escalate Only When Needed(2 posts)→

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