optimizationIntermediate8 min

API Rate Limiting Best Practices

Scale your API integrations reliably

Learn how to handle rate limits gracefully, implement exponential backoff, and optimize your API usage for high-volume applications.

APPLIES TO:JANUS CHIRON ATLAS PLUTUS DELPHI DAEDALUS

01

Understanding Rate Limits

Olympus APIs use a token bucket algorithm for rate limiting. Each tier has different limits, and understanding these helps you build reliable integrations.

02

Implementing Exponential Backoff

When you receive a 429 Too Many Requests response, implement exponential backoff to retry requests gracefully without overwhelming the API.

typescript

class="text-pink-400">async class="text-pink-400">function fetchWithBackoff(url: string, maxRetries = class="text-amber-400">5) {
  class="text-pink-400">for (class="text-pink-400">let i = class="text-amber-400">0; i < maxRetries; i++) {
    class="text-pink-400">const response = class="text-pink-400">await fetch(url);
    class="text-pink-400">if (response.status !== class="text-amber-400">429) class="text-pink-400">return response;

    class="text-pink-400">const delay = Math.pow(class="text-amber-400">2, i) * class="text-amber-400">1000;
    class="text-pink-400">await class="text-pink-400">new Promise(r => setTimeout(r, delay));
  }
  class="text-pink-400">throw class="text-pink-400">new Error(class="text-emerald-class="text-amber-400">400">'Max retries exceeded');
}