What libraries are required for the advanced retry logic?

While it uses LangChain's built-in features, it also leverages the 'tenacity' library for more granular control over retry attempts and exponential wait times.

How does this skill handle different LLM providers?

The skill includes specific rate limit configurations and implementation patterns for major providers like OpenAI, Anthropic, and Google Gemini, covering both requests-per-minute and tokens-per-minute.

Can I use this for asynchronous batch processing?

Yes, it provides async rate limiting examples using semaphores and the asyncio gather method to manage concurrency during large-scale batch operations.

Does it support automatic failover if a provider is down?

Yes, it demonstrates how to use LangChain's .with_fallbacks() mechanism to automatically switch to an alternative model or provider when rate limits are triggered.

LangChain Rate Limit Manager

Name: LangChain Rate Limit Manager
Author: Brmbobo

byBrmbobo

0•

数据科学与机器学习

Implements robust rate limiting and exponential backoff strategies for LangChain-based LLM applications.

This skill provides specialized guidance and implementation patterns for managing LLM provider rate limits within LangChain. It includes pre-configured retry logic using built-in LangChain features and the Tenacity library, custom token bucket rate limiters, and asynchronous batch processing techniques. It is essential for developers building production-grade AI applications that need to handle API quotas, prevent throttling, and ensure high reliability across multiple providers like OpenAI, Anthropic, and Google Gemini.

主要功能

010 GitHub stars

02Exponential backoff and retry logic using LangChain and Tenacity

03Multi-provider fallback strategies for high availability

04Custom token bucket rate limiter implementation for request throttling

05Standardized error handling for 429 and quota-related API issues

06Async batch processing with strict concurrency control

使用场景

01Ensuring service uptime through automatic model fallbacks during API outages or throttling

02Implementing reliable batch processing for large-scale document ingestion and analysis

03Scaling AI applications to handle high-volume user traffic without hitting provider limits

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add brmbobo/web2podcast langchain-rate-limits

For use in Claude.ai and ChatGPT

Download Skill