langchain-rate-limits
Rate-limit LangChain 1.0 calls correctly across multi-worker deployments\ \ \u2014\nRedis-backed limiters, asyncio.Semaphore, narrow exception whitelists,\ \ and\nprovider-specific throttle handling. Use when hitting 429s in production,\n\ scaling workers horizontally, or tuning throughput against Anthropic, OpenAI,\n\ or Gemini tier limits.\nTrigger with \"langchain rate limit\", \"langchain 429\"\ , \"langchain semaphore\",\n\"langchain token bucket\", \"anthropic rpm\", \"openai\ \ rpm throttling\",\n\"InMemoryRateLimiter\", \"redis rate limiter\".\n"
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill langchain-rate-limits --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 configu
What does the langchain-rate-limits skill do?
Rate-limit LangChain 1.0 calls correctly across multi-worker deployments\ \ \u2014\nRedis-backed limiters, asyncio.Semaphore, narrow exception whitelists,\ \ and\nprovider-specific throttle handling. Use when hitting 429s in production,\n\ scaling workers horizontally, or tuning throughput against Anthropic, OpenAI,\n\ or Gemini tier limits.\nTrigger with \"langchain rate limit\", \"langchain 429\"\ , \"langchain semaphore\",\n\"langchain token bucket\", \"anthropic rpm\", \"openai\ \ rpm throttling\",\n\"InMemoryRateLimiter\", \"redis rate limiter\".\n"
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill langchain-rate-limits --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.