Implement LangChain rate limiting and backoff strategies. Use when handling API quotas, implementing retry logic, or optimizing request throughput for LLM providers. Trigger with phrases like "langchain rate limit", "langchain throttling", "langchain backoff", "langchain retry", "API quota".
7.0
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0
Installs
AI & LLM
Category
Excellent skill providing comprehensive rate limiting and retry strategies for LangChain applications. The description clearly conveys when to use this skill, with specific trigger phrases. Task knowledge is strong, covering built-in retries, advanced tenacity configuration, custom rate limiters (sync and async), batch processing, and fallback strategies with production-ready code examples. Structure is clear with logical progression from basic to advanced techniques. Novelty is moderate-to-good: while rate limiting concepts are standard, implementing them correctly for LangChain with multiple providers, handling async scenarios, and integrating fallback chains provides meaningful value that would require significant token usage and trial-and-error for a CLI agent to achieve independently. The skill consolidates provider-specific limits, working code patterns, and error handling in a reusable format.
jeremylongshore
Skill Author
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