Lindy Webhooks & Events

Overview

Lindy supports webhooks in two directions: Inbound (Webhook Received trigger wakes an agent) and Outbound (HTTP Request action calls your API). This skill covers both patterns, plus the callback pattern for async two-way communication.

Prerequisites

• Lindy account with active agents
• HTTPS endpoint for receiving callbacks (if using outbound/callback patterns)
• Completed lindy-install-auth setup

Webhook Architecture

INBOUND (your system triggers Lindy):
[Your App] --POST--> https://public.lindy.ai/api/v1/webhooks/<id>
                         ↓
                    [Lindy Agent Wakes Up]
                         ↓
                    [Processes with LLM]
                         ↓
                    [Executes Actions]

OUTBOUND (Lindy calls your system):
[Lindy Agent] --HTTP Request action--> https://your-api.com/endpoint
                                            ↓
                                       [Your Handler]

CALLBACK (two-way async):
[Your App] --POST with callbackUrl--> [Lindy Agent]
                                          ↓
[Your App] <--POST to callbackUrl-- [Lindy: Send POST to Callback]

Instructions

Step 1: Create Webhook Received Trigger

1. In your agent, click the trigger node
2. Select Webhook Received
3. Lindy generates a unique URL:

   https://public.lindy.ai/api/v1/webhooks/<unique-id>
   

4. Click Generate Secret — copy immediately (shown only once)
5. Configure follow-up processing mode:
   • Process in workflow: Handle in current workflow
   • Spawn separate task: Each webhook creates a new task
   • Discard follow-ups: Ignore subsequent requests while processing

Step 2: Access Webhook Data in Workflow

Reference incoming webhook data in any subsequent action field:

Step 3: Implement Webhook Sender

// webhook-sender.ts — Trigger Lindy agents from your application
interface LindyWebhookPayload {
  event: string;
  data: Record<string, unknown>;
  callbackUrl?: string;
  metadata?: Record<string, unknown>;
}

async function triggerLindy(payload: LindyWebhookPayload): Promise<void> {
  const response = await fetch(process.env.LINDY_WEBHOOK_URL!, {
    method: 'POST',
    headers: {
      'Authorization': `Bearer ${process.env.LINDY_WEBHOOK_SECRET}`,
      'Content-Type': 'application/json',
    },
    body: JSON.stringify(payload),
  });

  if (!response.ok) {
    throw new Error(`Lindy webhook failed: ${response.status}`);
  }
}

// Usage examples:
await triggerLindy({
  event: 'customer.support_request',
  data: { email: 'user@co.com', subject: 'Billing question', body: '...' },
});

await triggerLindy({
  event: 'lead.qualified',
  data: { name: 'Jane Doe', company: 'Acme', score: 85 },
  callbackUrl: 'https://api.yourapp.com/lindy/callback',
});

Step 4: Implement Callback Receiver

When you include a callbackUrl in your webhook payload, the agent can respond using the Send POST Request to Callback action:

// callback-receiver.ts
import express from 'express';

const app = express();
app.use(express.json());

// Receive Lindy agent results
app.post('/lindy/callback', (req, res) => {
  // Verify authenticity
  const auth = req.headers.authorization;
  if (auth !== `Bearer ${process.env.LINDY_WEBHOOK_SECRET}`) {
    return res.status(401).json({ error: 'Unauthorized' });
  }

  // Respond immediately (Lindy expects a quick response)
  res.json({ received: true });

  // Process async
  handleCallback(req.body);
});

async function handleCallback(data: any) {
  console.log('Lindy callback:', data);

  // Example: Agent analyzed a support ticket
  const { classification, sentiment, draft_response, confidence } = data;

  if (confidence > 0.9) {
    await sendAutoResponse(draft_response);
  } else {
    await escalateToHuman(data);
  }
}

Step 5: Configure HTTP Request Action (Outbound)

For Lindy agents that call your API as an action step:

1. Add action: HTTP Request
2. Configure:
   • Method: POST (or GET, PUT, DELETE)
   • URL: https://api.yourapp.com/endpoint
   • Headers (Set Manually):

     Content-Type: application/json
     Authorization: Bearer {{your_api_key}}
     

   • Body (AI Prompt mode):

     Send the analysis result as JSON with fields:
     classification, sentiment, summary
     Based on: {{previous_step.result}}
     

Step 6: Add Trigger Filters

Prevent unnecessary agent triggers:

Filter: body.event equals "order.created"
  AND body.data.amount greater_than 100

This ensures the agent only processes high-value orders, saving credits.

Event Patterns

Pattern: Webhook + Slack Notification

Webhook Received → Condition (classify event type)
  → "billing" → Search KB → Draft Reply → Send Email + Slack Alert
  → "technical" → Agent Step (investigate) → Create Ticket → Slack Alert
  → "other" → Forward to team inbox

Pattern: Webhook + Callback

Webhook Received (with callbackUrl) → Process Data → Run Code
  → Send POST Request to Callback (returns results to caller)

Pattern: Webhook + Multi-Agent

Webhook Received → Agent Send Message (to Research Lindy)
  → Research Lindy completes → Agent Send Message (to Writer Lindy)
  → Writer Lindy completes → Send Email with final output

Monitoring Triggers

Lindy provides built-in monitoring triggers:

• Task Completed: Fires when an agent completes a task
• Use this to build observability pipelines: Agent completes → log to sheet → alert on failures

Error Handling

Security

• Always use HTTPS for webhook URLs
• Generate and verify webhook secrets on every request
• Rotate secrets every 90 days
• Log all webhook attempts (including rejected ones)
• Rate limit your webhook sender to prevent flooding

Resources

• Webhooks Documentation
• Webhook Triggers Academy
• Calling Any API

Next Steps

Proceed to lindy-performance-tuning for agent optimization.