| name | gamma-performance-tuning |
| description | Optimize Gamma API performance and reduce latency. Use when experiencing slow response times, optimizing throughput, or improving user experience with Gamma integrations. Trigger with phrases like "gamma performance", "gamma slow", "gamma latency", "gamma optimization", "gamma speed". |
| allowed-tools | Read, Write, Edit |
| version | 1.0.0 |
| license | MIT |
| author | Jeremy Longshore <jeremy@intentsolutions.io> |
Gamma Performance Tuning
Overview
Optimize Gamma API integration performance for faster response times and better throughput.
Prerequisites
- Working Gamma integration
- Performance monitoring tools
- Understanding of caching concepts
Instructions
Step 1: Client Configuration Optimization
import { GammaClient } from '@gamma/sdk';
const gamma = new GammaClient({
apiKey: process.env.GAMMA_API_KEY,
// Connection optimization
timeout: 30000,
keepAlive: true,
maxSockets: 10,
// Retry configuration
retries: 3,
retryDelay: 1000,
retryCondition: (err) => err.status >= 500 || err.status === 429,
// Compression
compression: true,
});
Step 2: Response Caching
import NodeCache from 'node-cache';
const cache = new NodeCache({
stdTTL: 300, // 5 minutes default
checkperiod: 60,
});
async function getCachedPresentation(id: string) {
const cacheKey = `presentation:${id}`;
// Check cache first
const cached = cache.get(cacheKey);
if (cached) {
return cached;
}
// Fetch from API
const presentation = await gamma.presentations.get(id);
// Cache the result
cache.set(cacheKey, presentation);
return presentation;
}
// Cache invalidation on updates
gamma.on('presentation.updated', (event) => {
cache.del(`presentation:${event.data.id}`);
});
Step 3: Parallel Request Optimization
// Instead of sequential requests
async function getSequential(ids: string[]) {
const results = [];
for (const id of ids) {
results.push(await gamma.presentations.get(id)); // Slow!
}
return results;
}
// Use parallel requests with concurrency control
import pLimit from 'p-limit';
const limit = pLimit(5); // Max 5 concurrent requests
async function getParallel(ids: string[]) {
return Promise.all(
ids.map(id => limit(() => gamma.presentations.get(id)))
);
}
// Batch API if available
async function getBatch(ids: string[]) {
return gamma.presentations.getBatch(ids); // Single request for multiple items
}
Step 4: Lazy Loading and Pagination
// Pagination for large lists
async function* getAllPresentations() {
let cursor: string | undefined;
do {
const page = await gamma.presentations.list({
limit: 100,
cursor,
});
for (const presentation of page.items) {
yield presentation;
}
cursor = page.nextCursor;
} while (cursor);
}
// Usage
for await (const presentation of getAllPresentations()) {
// Process one at a time, memory efficient
}
Step 5: Request Optimization
// Only request needed fields
const presentation = await gamma.presentations.get(id, {
fields: ['id', 'title', 'url', 'updatedAt'], // Skip large fields
});
// Avoid redundant API calls
const createOptions = {
title: 'My Presentation',
prompt: 'AI content',
returnImmediately: true, // Don't wait for generation
};
const { id, statusUrl } = await gamma.presentations.create(createOptions);
// Poll status separately if needed
const status = await gamma.presentations.status(id);
Step 6: Connection Pooling
import http from 'http';
import https from 'https';
// Reuse connections
const httpAgent = new http.Agent({
keepAlive: true,
maxSockets: 25,
maxFreeSockets: 10,
timeout: 60000,
});
const httpsAgent = new https.Agent({
keepAlive: true,
maxSockets: 25,
maxFreeSockets: 10,
timeout: 60000,
});
const gamma = new GammaClient({
apiKey: process.env.GAMMA_API_KEY,
httpAgent,
httpsAgent,
});
Performance Metrics
Monitoring Setup
import { performance } from 'perf_hooks';
async function timedRequest<T>(name: string, fn: () => Promise<T>): Promise<T> {
const start = performance.now();
try {
const result = await fn();
const duration = performance.now() - start;
console.log(`[PERF] ${name}: ${duration.toFixed(2)}ms`);
metrics.recordLatency(name, duration);
return result;
} catch (err) {
const duration = performance.now() - start;
console.log(`[PERF] ${name} FAILED: ${duration.toFixed(2)}ms`);
throw err;
}
}
// Usage
const presentation = await timedRequest('gamma.get', () =>
gamma.presentations.get(id)
);
Performance Targets
| Operation | Target | Action if Exceeded |
|---|---|---|
| Simple GET | < 200ms | Check network, use caching |
| List (100 items) | < 500ms | Reduce page size |
| Create presentation | < 5s | Use async pattern |
| Export PDF | < 30s | Use webhook notification |
Resources
Next Steps
Proceed to gamma-cost-tuning for cost optimization.