@LangChain: How to run agent evals with @harborframework and LangSmith sandboxes, full traces included.

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Summary

A guide on running agent evaluations using Harbor framework and LangSmith sandboxes with full trace support.

How to run agent evals with @harborframework and LangSmith sandboxes, full traces included. https://t.co/DtE8LhDCQl
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Cached at: 07/06/26, 04:09 PM

How to run agent evals with @harborframework and LangSmith sandboxes, full traces included. https://t.co/DtE8LhDCQl

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@Kimberl9633: LangChain just released two major updates today, directly pushing agent reliability forward: a unified evaluation stack, and a code execution solution that doesn't require a full sandbox. First, evaluation. How to test long-running, stateful agents? The combination of Harbor + LangSmith provides…

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LangChain has released a unified evaluation stack (Harbor + LangSmith) and an in-process code execution solution based on WASM+QuickJS, aimed at improving the evaluation reliability and execution safety of AI agents.

Give your agent its own computer (7 minute read)

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LangChain introduces LangSmith Sandboxes, providing each AI agent with its own isolated computer environment for safe code execution, addressing security risks of running untrusted code in containers or locally.