executing-plans
executing-plans
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available
lindy-install-authInstall and configure Lindy AI SDK/CLI authentication. Use when setting up a new Lindy integration, configuring API keys, or initializing Lindy in your project. Trigger with phrases like "install lindy", "setup lindy", "lindy auth", "configure lindy API key".
Independent GitHub snapshot · Automated classification · Original documentation governs
Set up Lindy AI SDK and configure authentication credentials for AI agent automation.
# Node.js
npm install @lindy-ai/sdk
# Python
pip install lindy-sdk
# Set environment variable
export LINDY_API_KEY="your-api-key"
# Or create .env file
echo 'LINDY_API_KEY=your-api-key' >> .env
import { Lindy } from '@lindy-ai/sdk';
const lindy = new Lindy({ apiKey: process.env.LINDY_API_KEY });
const agents = await lindy.agents.list();
console.log(agents.length > 0 ? 'Connected!' : 'No agents yet');
| Error | Cause | Solution |
|---|---|---|
| Invalid API Key | Incorrect or expired key | Verify key in Lindy dashboard |
| Rate Limited | Exceeded quota | Check quota at https://app.lindy.ai |
| Network Error | Firewall blocking | Ensure outbound HTTPS allowed |
| Module Not Found | Installation failed | Run npm install or pip install again |
import { Lindy } from '@lindy-ai/sdk';
const lindy = new Lindy({
apiKey: process.env.LINDY_API_KEY,
});
// Verify connection
const me = await lindy.users.me();
console.log(`Connected as: ${me.email}`);
from lindy import Lindy
client = Lindy(api_key=os.environ.get('LINDY_API_KEY'))
# Verify connection
me = client.users.me()
print(f"Connected as: {me.email}")
After successful auth, proceed to lindy-hello-world for your first AI agent.