AnalysisAI AgentsNovember 3, 2026

LangChain outlines three principles for human-in-the-loop agent evals

Read original source →langchain.com

LangChain's post argues human review is a strategic imperative for production agents, with three principles: expert judgment defines quality, agents must be evaluated on full traces including tool calls, and reviewer scores feed back into LLM judges and golden datasets. Flagged traces go to annotation queues in LangSmith, where a queue item can be a single run or a full multi-turn thread.

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