gamma-rate-limits

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

• Gamma Rate Limits
• Rate Limit Best Practices

Next Steps

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

Examples

Basic usage: Apply gamma rate limits to a standard project setup with default configuration options.

Advanced scenario: Customize gamma rate limits for production environments with multiple constraints and team-specific requirements.