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langchain-incident-runbook

by jeremylongshore

Incident response procedures for LangChain production issues.\nUse when responding to production incidents, diagnosing outages,\nor implementing emergency procedures for LLM applications.\nTrigger with phrases like \

Installation

Pick a client and clone the repository into its skills directory.

Installation

Quick info

Author
jeremylongshore
Category
Testing
Views
1
GitHub repo

About this skill

Incident response procedures for LangChain production issues.\nUse when responding to production incidents, diagnosing outages,\nor implementing emergency procedures for LLM applications.\nTrigger with phrases like \

How to use

  1. Zainstaluj skill w swoim środowisku Claude Code, Codex lub OpenClaw, upewniając się, że masz dostęp do narzędzi Read, Write, Edit, Bash (curl) i Grep.

  2. Wyzwól skill jedną z fraz: "langchain incident", "langchain outage", "langchain production issue", "langchain emergency", "langchain down" lub "LLM provider outage".

  3. Skill automatycznie klasyfikuje poważność incydentu na podstawie tabeli SEV1–SEV4 — od całkowitej awarii (SEV1, 15 minut odpowiedzi) do problemów o niskim wpływie (SEV4, 24 godziny).

  4. Wykonaj krok detektowania: skill sprawdzi strony statusu OpenAI i Anthropic za pomocą curl, aby potwierdzić, czy problem pochodzi od dostawcy.

  5. Przejdź do diagnostyki: skill uruchomi testy połączeń do ChatOpenAI i ChatAnthropic z timeoutami, aby zidentyfikować konkretne błędy i komunikaty.

  6. Na podstawie wyników diagnostyki postępuj zgodnie z procedurami zawartymi w runbooku — sprawdzaj logi, konfigurację API, limity szybkości lub problemy z zasobami, w zależności od typu incydentu.

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