Why Use This This skill provides specialized capabilities for jeremylongshore's codebase.
Use Cases Developing new features in the jeremylongshore repository Refactoring existing code to follow jeremylongshore standards Understanding and working with jeremylongshore's codebase structure
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Updated At Apr 3, 2026, 03:47 AM
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License MIT
---
name: lindy-webhooks-events
description: |
Configure Lindy AI webhook triggers, callback patterns, and event handling.
Use when setting up webhook triggers, implementing callback receivers,
or building event-driven Lindy integrations.
Trigger with phrases like "lindy webhook", "lindy events",
"lindy callback", "lindy webhook trigger".
allowed-tools: Read, Write, Edit, Bash(curl:*)
version: 1.0.0
license: MIT
author: Jeremy Longshore <[email protected] >
compatible-with: claude-code, codex, openclaw
tags: [saas, lindy, webhooks]
---
# 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:
| Variable | Description | Example |
|----------|-------------|---------|
| `{{webhook_received.request.body}}` | Full JSON payload | `{"event": "order.created", ...}` |
| `{{webhook_received.request.body.event}}` | Specific field | `"order.created"` |
| `{{webhook_received.request.headers}}` | All HTTP headers | `{"content-type": "application/json"}` |
| `{{webhook_received.request.query}}` | URL query params | `{"source": "stripe"}` |
### Step 3: Implement Webhook Sender
```typescript
// 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: '[email protected] ', 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:
```typescript
// 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
| Issue | Cause | Solution |
|-------|-------|----------|
| 401 on webhook send | Wrong or missing Bearer token | Verify secret matches Generate Secret value |
| Webhook URL returns 404 | Agent deleted or URL changed | Re-copy URL from agent trigger settings |
| Callback not received | callbackUrl unreachable | Ensure HTTPS, public endpoint, no firewall |
| Duplicate processing | Webhook retried | Implement idempotency with event IDs |
| Payload too large | Body exceeds limit | Reduce payload size, send references not data |
## 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](https://docs.lindy.ai/skills/by-lindy/webhooks)
- [Webhook Triggers Academy](https://www.lindy.ai/academy-lessons/webhook-triggers)
- [Calling Any API](https://www.lindy.ai/academy-lessons/calling-any-api)
## Next Steps
Proceed to `lindy-performance-tuning` for agent optimization.