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Adaptive Rate Limiting Decorator for API Clients

decorators rate-limiting resilience http-clients
Prompt
Implement a TypeScript decorator that dynamically adjusts API request rate limits based on server-side headers and historical performance metrics. The decorator should automatically backoff, retry with exponential strategies, and log potential throttling events. Design the implementation to work across multiple HTTP clients like Axios and Fetch, with strong typing for configuration and response tracking.
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TypeScript
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Mar 1, 2026

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Use Cases
  • Preventing API abuse in high-traffic applications.
  • Balancing load during peak usage times.
  • Improving user experience by managing request rates.
Tips for Best Results
  • Analyze traffic patterns to set optimal rate limits.
  • Implement dynamic adjustments based on user behavior.
  • Monitor API performance regularly for necessary adjustments.

Frequently Asked Questions

What is adaptive rate limiting?
It's a technique to control API request rates based on usage patterns.
Why is rate limiting important?
It prevents abuse and ensures fair resource distribution among users.
How can this decorator be implemented?
It can be easily integrated into existing API frameworks.
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