juicebox-performance-tuning

# Juicebox Performance Tuning

## Overview
Optimize Juicebox API integration for maximum performance and minimal latency.

## Prerequisites
- Working Juicebox integration
- Performance monitoring in place
- Baseline metrics established

## Instructions

### Step 1: Implement Response Caching
```typescript
// lib/juicebox-cache.ts
import { Redis } from 'ioredis';

const redis = new Redis(process.env.REDIS_URL);

interface CacheOptions {
  ttl: number; // seconds
  prefix?: string;
}

export class JuiceboxCache {
  constructor(private options: CacheOptions = { ttl: 300 }) {}

  private getKey(type: string, params: any): string {
    const hash = crypto
      .createHash('md5')
      .update(JSON.stringify(params))
      .digest('hex');
    return `${this.options.prefix || 'jb'}:${type}:${hash}`;
  }

  async get<T>(type: string, params: any): Promise<T | null> {
    const key = this.getKey(type, params);
    const cached = await redis.get(key);
    return cached ? JSON.parse(cached) : null;
  }

  async set<T>(type: string, params: any, data: T): Promise<void> {
    const key = this.getKey(type, params);
    await redis.setex(key, this.options.ttl, JSON.stringify(data));
  }

  async invalidate(type: string, params: any): Promise<void> {
    const key = this.getKey(type, params);
    await redis.del(key);
  }
}

// Usage
const cache = new JuiceboxCache({ ttl: 300 });

async function searchWithCache(query: string, options: SearchOptions) {
  const cached = await cache.get('search', { query, ...options });
  if (cached) return cached;

  const results = await client.search.people({ query, ...options });
  await cache.set('search', { query, ...options }, results);
  return results;
}
```

### Step 2: Optimize Request Batching
```typescript
// lib/batch-processor.ts
export class BatchProcessor<T, R> {
  private queue: Array<{
    item: T;
    resolve: (result: R) => void;
    reject: (error: Error) => void;
  }> = [];
  private timeout: NodeJS.Timeout | null = null;

  co