lindy-performance-tuning

# Lindy Performance Tuning

## Overview
Optimize Lindy AI agent performance for faster response times and higher throughput.

## Prerequisites
- Production Lindy integration
- Baseline performance metrics
- Access to monitoring tools

## Instructions

### Step 1: Measure Baseline Performance
```typescript
import { Lindy } from '@lindy-ai/sdk';

interface PerformanceMetrics {
  avgLatency: number;
  p95Latency: number;
  p99Latency: number;
  throughput: number;
  errorRate: number;
}

async function measureBaseline(agentId: string, iterations = 100): Promise<PerformanceMetrics> {
  const lindy = new Lindy({ apiKey: process.env.LINDY_API_KEY });
  const latencies: number[] = [];
  let errors = 0;

  const start = Date.now();

  for (let i = 0; i < iterations; i++) {
    const runStart = Date.now();
    try {
      await lindy.agents.run(agentId, { input: 'Benchmark test' });
      latencies.push(Date.now() - runStart);
    } catch (e) {
      errors++;
    }
  }

  const totalTime = (Date.now() - start) / 1000;
  latencies.sort((a, b) => a - b);

  return {
    avgLatency: latencies.reduce((a, b) => a + b, 0) / latencies.length,
    p95Latency: latencies[Math.floor(latencies.length * 0.95)],
    p99Latency: latencies[Math.floor(latencies.length * 0.99)],
    throughput: iterations / totalTime,
    errorRate: errors / iterations,
  };
}
```

### Step 2: Optimize Agent Instructions
```typescript
// BEFORE: Verbose instructions (slow)
const slowAgent = {
  instructions: `
    You are a helpful assistant that should carefully consider
    each request and provide detailed, comprehensive responses.
    Think step by step about each query. Consider all possibilities.
    Provide examples and explanations for everything.
  `,
};

// AFTER: Concise instructions (fast)
const fastAgent = {
  instructions: `
    Be concise. Answer directly. Skip pleasantries.
    Format: [Answer] (1-2 sentences)
  `,
  config: {
    maxTokens: 100, // Limit response length
  },
};
```

### Step