Lindy Local Dev Loop

Overview

Configure efficient local development workflow for Lindy AI agent development.

Prerequisites

• Completed lindy-install-auth setup
• Node.js 18+ with npm/pnpm
• Code editor with TypeScript support

Instructions

Step 1: Set Up Project Structure

mkdir lindy-agents && cd lindy-agents
npm init -y
npm install @lindy-ai/sdk typescript ts-node dotenv
npm install -D @types/node nodemon

Step 2: Configure TypeScript

// tsconfig.json
{
  "compilerOptions": {
    "target": "ES2022",
    "module": "NodeNext",
    "moduleResolution": "NodeNext",
    "outDir": "./dist",
    "strict": true,
    "esModuleInterop": true
  },
  "include": ["src/**/*"]
}

Step 3: Create Development Script

// package.json scripts
{
  "scripts": {
    "dev": "nodemon --exec ts-node src/index.ts",
    "build": "tsc",
    "start": "node dist/index.js",
    "test:agent": "ts-node src/test-agent.ts"
  }
}

Step 4: Create Agent Test Harness

// src/test-agent.ts
import 'dotenv/config';
import { Lindy } from '@lindy-ai/sdk';

const lindy = new Lindy({ apiKey: process.env.LINDY_API_KEY });

async function testAgent(agentId: string, input: string) {
  console.log(`Testing agent ${agentId} with: "${input}"`);
  const start = Date.now();

  const result = await lindy.agents.run(agentId, { input });

  console.log(`Response (${Date.now() - start}ms): ${result.output}`);
  return result;
}

// Run test
testAgent(process.argv[2], process.argv[3] || 'Hello!');

Output

• Configured development environment
• Hot reload enabled for agent code
• Test harness for rapid iteration
• TypeScript support with type checking

Error Handling

Examples

Watch Mode Development

# Start development with hot reload
npm run dev

# Test specific agent
npm run test:agent agt_abc123 "Test input"

Environment Setup

# .env file
LINDY_API_KEY=your-api-key
LINDY_ENVIRONMENT=development

Resources

• Lindy SDK Reference
• TypeScript Best Practices

Next Steps

Proceed to lindy-sdk-patterns for SDK best practices.