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langchain-incident-runbook

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skills/.curated/langchain-incident-runbook/SKILL.md

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Last checked: Nov 12, 2026

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Repository stars (not skill ratings): 2,916
Repository last updated: Nov 12, 2026
License: MIT

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ai Repository topic
automation Repository topic
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ai-agents Repository topic
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saas Declared skill tag
langchain Declared skill tag
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SKILL.mdcore · 15,207 bytes
SKILL.mdcore · 15,207 bytes
references/cost-overrun-response.mddoc · 7,249 bytes
references/latency-triage.mddoc · 5,417 bytes
references/llm-slos.mddoc · 4,991 bytes
references/one-pager.mddoc · 3,678 bytes
references/provider-outage-playbook.mddoc · 7,954 bytes

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# LangChain Incident Runbook

## Overview

3:07am. PagerDuty: "LangChain p95 latency > 10s for 5 minutes." You open LangSmith,
filter by `service="triage-agent"` over the last 15 minutes, and the first trace
is 43 seconds long — an agent is on step 24 of 25 iterations, bouncing between
the same two tools on a vague user prompt ("help me with my account"). The cost
dashboard shows **$400 spent in the last 10 minutes**, up from a $6/hour baseline.
This is P10: `create_react_agent` defaults to `recursion_limit=25` with no cost
cap; vague prompts never converge; the spend hits before `GraphRecursionError`
surfaces. First move is not to push a code fix — it is to flip
`recursion_limit=5` via config reload and add a middleware token-budget cap per
session, then deal with the stuck sessions.