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LangChain adds thread reviews for multi-turn AI agents in LangSmith

LangChain updates LangSmith annotation queues to let teams review full conversation threads and build better AI agent evaluation datasets.

LangChain adds thread reviews for multi-turn AI agents in LangSmith — image from LangChain
Image: LangChain

Summary

LangChain updated LangSmith so teams can review full multi-turn conversation threads in annotation queues instead of just single-step traces. Reviewers can now inspect user messages, tool calls, and intermediate steps to leave structured scores and feedback. This data helps calibrate LLM judges and build golden datasets.

What changed

  • LangChain added thread reviews to LangSmith annotation queues for full multi-turn session evaluations.
  • Reviewers can inspect user messages, tool calls, and intermediate steps in one view.
  • Teams can use human scores and comments to calibrate LLM judges and build golden datasets.

Availability

Available now

“Try out this feature yourself in LangSmith today.”

Founder takeaway

If you build multi-turn AI agents, try this feature in LangSmith today to capture expert feedback and build reliable evaluation datasets.

Source

LangChainWhy human insight is a strategic advantage for building better agents

Announced Checked

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