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langchain-rate-limits
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plugins/saas-packs/langchain-py-pack/skills/langchain-rate-limits/SKILL.md
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- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- saas Declared skill tag
- langchain Declared skill tag
- langgraph Declared skill tag
- python Declared skill tag
- langchain-1.0 Declared skill tag
- rate-limits Declared skill tag
- throttling Declared skill tag
- concurrency Declared skill tag
- engineering Derived category
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# LangChain Rate Limits (Python)
## Overview
A team deploys 10 Cloud Run workers. Each worker initializes its `ChatAnthropic`
with `InMemoryRateLimiter(requests_per_second=10)` — they read the docs, they
picked a safe-looking number, they shipped. Thirty seconds later the dashboard
lights up with 429s: the cluster is pushing 100 RPS to Anthropic's 50 RPM
tier-1 ceiling, not the 10 RPS they configured. The name is the fix —
`InMemoryRateLimiter` is **in-process**. Each worker has its own counter. Ten
workers × 10 RPS = 100 RPS to the provider. This is pain-catalog entry **P29**
and it lands on every team that scales past one pod.
Three more traps wait on the same code path: