LangChain Rate Limiter

概要

This skill empowers developers to build production-grade LangChain applications by implementing robust error handling and rate limiting patterns. It provides standardized implementation patterns for exponential backoff with Tenacity, custom token-bucket rate limiters, and async batch processing with concurrency control. By proactively managing API quotas for major providers like OpenAI, Anthropic, and Google, this skill ensures application stability, prevents '429 Too Many Requests' errors, and allows for seamless provider fallbacks to maintain high availability.

主な機能

• 983 GitHub stars
• Exponential backoff implementation using the tenacity library
• Async batch processing with strict concurrency control
• Automated multi-provider fallback strategies
• Pre-configured rate limit references for OpenAI, Anthropic, and Gemini
• Custom token-bucket and semaphore-based rate limiter classes

ユースケース

• Building high-throughput data processing pipelines using LLMs
• Preventing service interruptions in production environments due to API throttling
• Implementing cost-effective failovers between different AI model providers