juicebox-performance-tuning

name	juicebox-performance-tuning
description	Optimize Juicebox API performance. Use when improving response times, reducing latency, or optimizing Juicebox integration throughput. Trigger with phrases like "juicebox performance", "optimize juicebox", "juicebox speed", "juicebox latency".
allowed-tools	Read, Write, Edit, Bash(gh:*), Bash(curl:*)
version	1.0.0
license	MIT
author	Jeremy Longshore <[e-mail]>

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

// 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

// 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;

  constructor(
    private processBatch: (items: T[]) => Promise<R[]>,
    private options: { maxSize: number; maxWait: number }
  ) {}

  async add(item: T): Promise<R> {
    return new Promise((resolve, reject) => {
      this.queue.push({ item, resolve, reject });

      if (this.queue.length >= this.options.maxSize) {
        .();
      }   (!.) {
        . = ( .(), ..);
      }
    });
  }

    (): <> {
     (.) {
      (.);
      . = ;
    }

     (.. === ) ;

     batch = ..(, ..);
     items = batch.( b.);

     {
       results =  .(items);
      batch.( b.(results[i]));
    }  (error) {
      batch.( b.(error  ));
    }
  }
}


 enrichmentBatcher =  <, >(
   (profileIds) => {
     client..(profileIds);
  },
  { : , :  }
);


 profile =  enrichmentBatcher.(profileId);

Step 3: Connection Pooling

// lib/connection-pool.ts
import { JuiceboxClient } from '@juicebox/sdk';

class ClientPool {
  private clients: JuiceboxClient[] = [];
  private currentIndex = 0;

  constructor(size: number, apiKey: string) {
    for (let i = 0; i < size; i++) {
      this.clients.push(new JuiceboxClient({
        apiKey,
        keepAlive: true,
        timeout: 30000
      }));
    }
  }

  getClient(): JuiceboxClient {
    const client = this.clients[this.currentIndex];
    this.currentIndex = (this.currentIndex + 1) % this.clients.length;
    return client;
  }
}

const pool = new ClientPool(5, process.env.!);

Step 4: Query Optimization

// lib/query-optimizer.ts
export function optimizeSearchQuery(params: SearchParams): SearchParams {
  return {
    ...params,
    // Only request needed fields
    fields: params.fields || ['id', 'name', 'title', 'company'],
    // Use reasonable page size
    limit: Math.min(params.limit || 20, 100),
    // Disable expensive features if not needed
    includeScores: params.includeScores ?? false,
    includeHighlights: params.includeHighlights ?? false
  };
}

// Pagination optimization
async function* streamResults(query: string) {
  let cursor: string | undefined;

  do {
    const results = await client.search.people({
      query,
      limit: 100,
      cursor,
      fields: ['id', 'name', ] 
    });

     ( profile  results.) {
       profile;
    }

    cursor = results.;
  }  (cursor);
}

Step 5: Monitor Performance

// lib/performance-monitor.ts
import { metrics } from './metrics';

export function wrapWithMetrics<T extends (...args: any[]) => Promise<any>>(
  name: string,
  fn: T
): T {
  return (async (...args: Parameters<T>) => {
    const start = Date.now();
    try {
      const result = await fn(...args);
      metrics.histogram(`juicebox.${name}.duration`, Date.now() - start);
      metrics.increment(`juicebox.${name}.success`);
      return result;
    } catch (error) {
      metrics.increment(`juicebox.${name}.error`);
      throw error;
    }
  }) as T;
}

// Dashboard query
const performanceQuery = `
  SELECT
    date_trunc('hour', timestamp) as hour,
    avg(duration_ms) as avg_latency,
    percentile_cont(0.95) within group (order by duration_ms) as p95,
    count(*) as requests
  FROM juicebox_metrics
  WHERE timestamp > now() - interval '24 hours'
  GROUP BY 1
  ORDER BY 1
`;

Performance Benchmarks

Operation	Target	Optimization
Search (cold)	< 500ms	Query optimization
Search (cached)	< 50ms	Redis cache
Profile fetch	< 200ms	Batch requests
Bulk enrichment	< 2s/100	Connection pool

Output

• Response caching layer
• Request batching system
• Connection pool
• Performance monitoring

Resources

• Performance Guide
• Best Practices

Next Steps

After performance tuning, see juicebox-cost-tuning for cost optimization.