Understand and manage Gamma API rate limits effectively. Use when hitting rate limits, optimizing API usage, or implementing request queuing systems. Trigger with phrases like "gamma rate limit", "gamma quota", "gamma 429", "gamma throttle", "gamma request limits".
npxskills add jeremylongshore/claude-code-plugins-plus-skills--skill gamma-rate-limitsLoading…
Understand Gamma API rate limits and implement effective strategies for high-volume usage.
| Plan | Requests/min | Presentations/day | Exports/hour |
|---|---|---|---|
| Free | 10 | 5 | 10 |
| Pro | 60 | 50 | 100 |
| Team | 200 | 200 | 500 |
| Enterprise | Custom | Custom | Custom |
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
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' })
);
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({ ... })),
]);
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`);
| 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 |
Proceed to gamma-security-basics for security best practices.
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