ReddRadar
Agent skill
exa-performance-tuning
Optimize Exa API performance with caching, batching, and connection pooling. Use when experiencing slow API responses, implementing caching strategies, or optimizing request throughput for Exa integrations. Trigger with phrases like "exa performance", "optimize exa", "exa latency", "exa caching", "exa slow", "exa batch".
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/exa-performance-tuning
SKILL.md
Exa Performance Tuning
Overview
Optimize Exa API performance with caching, batching, and connection pooling.
Prerequisites
- Exa SDK installed
- Understanding of async patterns
- Redis or in-memory cache available (optional)
- Performance monitoring in place
Latency Benchmarks
| Operation | P50 | P95 | P99 |
|---|---|---|---|
| Read | 50ms | 150ms | 300ms |
| Write | 100ms | 250ms | 500ms |
| List | 75ms | 200ms | 400ms |
Caching Strategy
Response Caching
import { LRUCache } from 'lru-cache';
const cache = new LRUCache<string, any>({
max: 1000,
ttl: 60000, // 1 minute
updateAgeOnGet: true,
});
async function cachedExaRequest<T>(
key: string,
fetcher: () => Promise<T>,
ttl?: number
): Promise<T> {
const cached = cache.get(key);
if (cached) return cached as T;
const result = await fetcher();
cache.set(key, result, { ttl });
return result;
}
Redis Caching (Distributed)
import Redis from 'ioredis';
const redis = new Redis(process.env.REDIS_URL);
async function cachedWithRedis<T>(
key: string,
fetcher: () => Promise<T>,
ttlSeconds = 60
): Promise<T> {
const cached = await redis.get(key);
if (cached) return JSON.parse(cached);
const result = await fetcher();
await redis.setex(key, ttlSeconds, JSON.stringify(result));
return result;
}
Request Batching
import DataLoader from 'dataloader';
const exaLoader = new DataLoader<string, any>(
async (ids) => {
// Batch fetch from Exa
const results = await exaClient.batchGet(ids);
return ids.map(id => results.find(r => r.id === id) || null);
},
{
maxBatchSize: 100,
batchScheduleFn: callback => setTimeout(callback, 10),
}
);
// Usage - automatically batched
const [item1, item2, item3] = await Promise.all([
exaLoader.load('id-1'),
exaLoader.load('id-2'),
exaLoader.load('id-3'),
]);
Connection Optimization
import { Agent } from 'https';
// Keep-alive connection pooling
const agent = new Agent({
keepAlive: true,
maxSockets: 10,
maxFreeSockets: 5,
timeout: 30000,
});
const client = new ExaClient({
apiKey: process.env.EXA_API_KEY!,
httpAgent: agent,
});
Pagination Optimization
async function* paginatedExaList<T>(
fetcher: (cursor?: string) => Promise<{ data: T[]; nextCursor?: string }>
): AsyncGenerator<T> {
let cursor: string | undefined;
do {
const { data, nextCursor } = await fetcher(cursor);
for (const item of data) {
yield item;
}
cursor = nextCursor;
} while (cursor);
}
// Usage
for await (const item of paginatedExaList(cursor =>
exaClient.list({ cursor, limit: 100 })
)) {
await process(item);
}
Performance Monitoring
async function measuredExaCall<T>(
operation: string,
fn: () => Promise<T>
): Promise<T> {
const start = performance.now();
try {
const result = await fn();
const duration = performance.now() - start;
console.log({ operation, duration, status: 'success' });
return result;
} catch (error) {
const duration = performance.now() - start;
console.error({ operation, duration, status: 'error', error });
throw error;
}
}
Instructions
Step 1: Establish Baseline
Measure current latency for critical Exa operations.
Step 2: Implement Caching
Add response caching for frequently accessed data.
Step 3: Enable Batching
Use DataLoader or similar for automatic request batching.
Step 4: Optimize Connections
Configure connection pooling with keep-alive.
Output
- Reduced API latency
- Caching layer implemented
- Request batching enabled
- Connection pooling configured
Error Handling
| Issue | Cause | Solution |
|---|---|---|
| Cache miss storm | TTL expired | Use stale-while-revalidate |
| Batch timeout | Too many items | Reduce batch size |
| Connection exhausted | No pooling | Configure max sockets |
| Memory pressure | Cache too large | Set max cache entries |
Examples
Quick Performance Wrapper
const withPerformance = <T>(name: string, fn: () => Promise<T>) =>
measuredExaCall(name, () =>
cachedExaRequest(`cache:${name}`, fn)
);
Resources
Next Steps
For cost optimization, see exa-cost-tuning.
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