Create a minimal working Lindy AI agent example.Use when starting a new Lindy integration, testing your setup,or learning basic Lindy API patterns.Trigger with phrases like "lindy hello world", "lindy example","lindy quick start", "simple lindy agent".
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Updated Jan 9, 2026, 12:57 AM
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---
name: lindy-hello-world
description: |
Create a minimal working Lindy AI agent example.
Use when starting a new Lindy integration, testing your setup,
or learning basic Lindy API patterns.
Trigger with phrases like "lindy hello world", "lindy example",
"lindy quick start", "simple lindy agent".
allowed-tools: Read, Write, Edit
version: 1.0.0
license: MIT
author: Jeremy Longshore <[email protected]>
---
# 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.