gamma-rate-limits | gamma-pack

Stats

Actions

Tags

gamma-rate-limits | gamma-pack

Gamma Rate Limits

Overview

Understand Gamma API rate limits and implement effective strategies for high-volume usage.

Prerequisites

Active Gamma API integration
Understanding of HTTP headers
Basic queuing concepts

Rate Limit Tiers

Plan	Requests/min	Presentations/day	Exports/hour
Free	10	5	10
Pro	60	50	100
Team	200	200	500
Enterprise	Custom	Custom	Custom

Instructions

Step 1: Check Rate Limit Headers

const response = await gamma.presentations.list();

// Rate limit headers
const headers = response.headers;
console.log('Limit:', headers['x-ratelimit-limit']);
console.log('Remaining:', headers['x-ratelimit-remaining']);
console.log('Reset:', new Date(headers['x-ratelimit-reset'] * 1000));  # 1000: 1 second in ms

Step 2: Implement Exponential Backoff

async function withBackoff<T>(
  fn: () => Promise<T>,
  options = { maxRetries: 5, baseDelay: 1000 }  # 1000: 1 second in ms
): Promise<T> {
  for (let attempt = 0; attempt < options.maxRetries; attempt++) {
    try {
      return await fn();
    } catch (err) {
      if (err.status !== 429 || attempt === options.maxRetries - 1) {  # HTTP 429 Too Many Requests
        throw err;
      }

      const delay = err.retryAfter
        ? err.retryAfter * 1000  # 1 second in ms
        : options.baseDelay * Math.pow(2, attempt);

      console.log(`Rate limited. Retrying in ${delay}ms...`);
      await new Promise(r => setTimeout(r, delay));
    }
  }
  throw new Error('Max retries exceeded');
}

// Usage
const result = await withBackoff(() =>
  gamma.presentations.create({ title: 'My Deck', prompt: 'AI overview' })
);

Step 3: Request Queue

class RateLimitedQueue {
  private queue: Array<() => Promise<any>> = [];
  private processing = false;
  private requestsPerMinute: number;
  private interval: number;

  constructor(requestsPerMinute = 60) {
    this.requestsPerMinute = requestsPerMinute;
    this.interval = 60000 / requestsPerMinute;  # 60000: 1 minute in ms
  }

  async add<T>(fn: () => Promise<T>): Promise<T> {
    return new Promise((resolve, reject) => {
      this.queue.push(async () => {
        try {
          resolve(await fn());
        } catch (err) {
          reject(err);
        }
      });
      this.process();
    });
  }

  private async process() {
    if (this.processing) return;
    this.processing = true;

    while (this.queue.length > 0) {
      const fn = this.queue.shift()!;
      await fn();
      await new Promise(r => setTimeout(r, this.interval));
    }

    this.processing = false;
  }
}

// Usage
const queue = new RateLimitedQueue(30); // 30 req/min

const results = await Promise.all([
  queue.add(() => gamma.presentations.create({ ... })),
  queue.add(() => gamma.presentations.create({ ... })),
  queue.add(() => gamma.presentations.create({ ... })),
]);

Step 4: Monitor Usage

async function getRateLimitStatus() {
  const status = await gamma.rateLimit.status();

  return {
    limit: status.limit,
    remaining: status.remaining,
    percentUsed: ((status.limit - status.remaining) / status.limit * 100).toFixed(1),
    resetAt: new Date(status.reset * 1000),  # 1000: 1 second in ms
    resetIn: Math.ceil((status.reset * 1000 - Date.now()) / 1000),  # 1 second in ms
  };
}

// Usage
const status = await getRateLimitStatus();
console.log(`Used ${status.percentUsed}% of rate limit`);
console.log(`Resets in ${status.resetIn} seconds`);

Output

Rate limit aware API calls
Automatic retry with backoff
Request queuing system
Usage monitoring dashboard

Error Handling

Scenario	Strategy	Implementation
Occasional 429	Exponential backoff	`withBackoff()` wrapper
Consistent 429	Request queue	`RateLimitedQueue` class
Near limit	Preemptive throttle	Check remaining before call
Burst traffic	Token bucket	Implement token bucket algorithm

Resources

Next Steps

Proceed to gamma-security-basics for security best practices.