python-client-rate-limiting

What problem does it solve?

This Skill helps SDK developers manage API request traffic efficiently by implementing rate limiting, handling retries, and respecting server hints to avoid overloading services.

Core Features & Use Cases

• Rate Limiting Implementation: Uses token and leaky-bucket algorithms to control request flow per method.
• Retry Logic with Server Hints: Honors Retry-After headers to delay retries after rate limiting responses.
• Proactive Shaping: Analyzes X-RateLimit-* headers to reduce request rate before hitting limits.
• Adaptive Control: Utilizes AIMD algorithms to adjust request rates dynamically based on server responses.
• Monitoring: Tracks rate-limiting incidents and shaping costs via telemetry signals.
• Use Case: A Python SDK integrates this Skill to prevent API throttling during high request volumes, ensuring compliant and efficient operation.

Quick Start

Configure the SDK with rate limits based on server reports; integrate the rate limiter into client methods; and handle 429 codes by waiting as instructed, updating limits based on headers, and adjusting request pace accordingly.