Source record

Published by LangChain Blog (T1.5 source). The original is at https://www.langchain.com/blog/how-we-benchmark-deep-agents.

Pipeline notes

The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.

LangChain revamped its evaluation framework for Deep Agents, moving from unit-style tests to end-to-end evals run through Harbor across coding, conversation, and retrieval tasks to guide prompt, tool, and middleware decisions.

Concrete walkthrough of an eval pipeline shift inside a widely used agent harness, with the task structure and tooling choices laid out for replication.

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