Can it handle batch processing of requests?

Yes, the skill includes specific instructions for async rate limiting and batch processing using semaphores to control concurrency.

Do I need external packages for this skill to work?

While LangChain has some built-in retries, this skill recommends and provides implementation details for the 'tenacity' package for more robust retry logic.

How does this skill handle different LLM providers?

It includes pre-defined rate limit configurations for major providers like OpenAI, Anthropic, and Google, and provides patterns for cross-provider fallbacks if one hits a limit.

What is the benefit of using exponential backoff?

Exponential backoff prevents 'retry storms' by progressively increasing the wait time between failed attempts, which is essential for respecting API provider throttling.

LangChain Rate Limiter

Name: LangChain Rate Limiter
Author: jeremylongshore

byjeremylongshore

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983

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Data Science & ML

Manages API quotas and request throughput for LangChain applications using advanced rate limiting and backoff strategies.

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.

Key Features

01983 GitHub stars

02Exponential backoff implementation using the tenacity library

03Async batch processing with strict concurrency control

04Automated multi-provider fallback strategies

05Pre-configured rate limit references for OpenAI, Anthropic, and Gemini

06Custom token-bucket and semaphore-based rate limiter classes

Use Cases

01Building high-throughput data processing pipelines using LLMs

02Preventing service interruptions in production environments due to API throttling

03Implementing cost-effective failovers between different AI model providers

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills langchain-rate-limits

For use in Claude.ai and ChatGPT

Download Skill