lindy-hello-world

# Lindy Hello World ## Overview Minimal working example demonstrating core Lindy AI agent functionality. ## Prerequisites - Completed `lindy-install-auth` setup - Valid API credentials configured - Development environment ready ## Instructions ### Step 1: Create Entry File Create a new file for your hello world example. ### Step 2: Import and Initialize Client ```typescript import { Lindy } from '@lindy-ai/sdk'; const lindy = new Lindy({ apiKey: process.env.LINDY_API_KEY, }); ``` ### Step 3: Create Your First Agent ```typescript async function main() { // Create a simple AI agent const agent = await lindy.agents.create({ name: 'Hello World Agent', description: 'My first Lindy agent', instructions: 'You are a helpful assistant that greets users.', }); console.log(`Created agent: ${agent.id}`); // Run the agent with a simple task const result = await lindy.agents.run(agent.id, { input: 'Say hello to the world!', }); console.log(`Agent response: ${result.output}`); } main().catch(console.error); ``` ## Output - Working code file with Lindy client initialization - Created AI agent in your Lindy workspace - Console output showing: ``` Created agent: agt_abc123 Agent response: Hello, World! I'm your new Lindy AI assistant. ``` ## Error Handling | Error | Cause | Solution | |-------|-------|----------| | Import Error | SDK not installed | Verify with `npm list @lindy-ai/sdk` | | Auth Error | Invalid credentials | Check environment variable is set | | Timeout | Network issues | Increase timeout or check connectivity | | Rate Limit | Too many requests | Wait and retry with exponential backoff | ## Examples ### TypeScript Example ```typescript import { Lindy } from '@lindy-ai/sdk'; const lindy = new Lindy({ apiKey: process.env.LINDY_API_KEY, }); async function main() { const agent = await lindy.agents.create({ name: 'Greeting Agent', instructions: 'Greet users warmly and helpfully.', }); const result = await lindy.agents.run(agent.id, { input: 'Hello!', }); console.log(result.output); } main().catch(console.error); ``` ### Python Example ```python from lindy import Lindy client = Lindy() agent = client.agents.create( name="Greeting Agent", instructions="Greet users warmly and helpfully." ) result = client.agents.run(agent.id, input="Hello!") print(result.output) ``` ## Resources - [Lindy Getting Started](https://docs.lindy.ai/getting-started) - [Lindy API Reference](https://docs.lindy.ai/api) - [Lindy Examples](https://docs.lindy.ai/examples) ## Next Steps Proceed to `lindy-local-dev-loop` for development workflow setup.