llm-rate-limiting

What problem does it solve?

This Skill helps prevent LLM API quota exhaustion, manage concurrent requests, and gracefully handle rate limit errors by implementing robust rate limiting strategies.

Core Features & Use Cases

• Prevent Quota Exhaustion: Implement strategies to stay within API limits.
• Handle Rate Limit Errors: Gracefully manage responses when limits are hit.
• Manage Concurrency: Control the number of simultaneous requests to an API.
• Use Case: When making frequent calls to an LLM API like Anthropic or OpenAI, this skill ensures you don't exceed your allowed requests per minute or tokens per day, automatically applying backoff strategies when necessary.

Quick Start

Use the llm-rate-limiting skill to implement a token bucket rate limiter with a capacity of 1000 tokens and a refill rate of 1000 tokens per minute.