api-rate-limit-handler

API Rate Limit Handler

Overview

A skill for implementing production-grade rate limiting, exponential backoff, and retry strategies when integrating with external APIs. Prevents cascading failures, respects upstream quotas, and keeps your application resilient under load.

When to Use This Skill

• Use when calling external APIs that enforce rate limits (OpenAI, Stripe, GitHub, etc.)
• Use when you receive 429 Too Many Requests or 5xx errors and need graceful recovery
• Use when building a client that must respect Retry-After headers
• Use when designing a system that fans out to multiple API providers
• Use when the user says "handle rate limits", "add retry logic", "backoff strategy", or "don't get throttled"

How It Works

Step 1: Classify the response

Determine whether a failed request is retryable or terminal.

Step 2: Parse rate limit headers

Always check upstream hints before computing your own delay.

function getRetryDelay(
  response: Response,
  attempt: number,
  maxDelayMs = 60_000
): number {
  // Prefer upstream hints
  const retryAfter = response.headers.get("Retry-After");
  if (retryAfter) {
    const seconds = Number(retryAfter);
    if (Number.isFinite(seconds) && seconds >= 0) {
      return Math.min(seconds * 1000, maxDelayMs);
    }
    // HTTP-date format
    const date = new Date(retryAfter).getTime();
    if (Number.isFinite(date)) {
      return Math.min(Math.max(0, date - Date.now()), maxDelayMs);
    }
  }

  // GitHub documents x-ratelimit-reset as Unix epoch seconds.
  const githubReset = Number(response.headers.get("x-ratelimit-reset"));
  if (Number.isFinite(githubReset)) {
    return Math.min(
      Math.max(0, githubReset * 1000 - Date.now()),
      maxDelayMs
    );
  }

  // Fallback: capped exponential backoff with full jitter.
  const cap = Math.min(1000 * 2 ** attempt, maxDelayMs);
  return Math.floor(Math.random() * cap);
}