How My Agents Self-Heal in Production

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A LangChain engineer describes building a self-healing deployment pipeline for their GTM Agent. After each deploy, a GitHub Action captures build and server logs, applies Poisson statistical testing to distinguish real regressions from background noise, and routes flagged errors through a triage agent that checks for causal links between code diffs and errors. If confirmed, an open-source coding agent (Open SWE) automatically opens a PR with a fix. The post covers Docker build failure detection, error signature normalization, statistical gating, triage agent design, and future improvements like vector-based error clustering and rollback vs. fix-forward decision logic.

7m read timeFrom blog.langchain.com
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How the Self-Healing Flow WorksFuture ImprovementsConclusion

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