openrouter-compliance-review
Review OpenRouter integration for regulatory compliance (SOC2, GDPR,
lindy-hello-world
Create your first Lindy AI agent with a real trigger and action.
Full skill instructions
Build a minimal Lindy AI agent: Webhook Received trigger -> LLM processing -> Slack notification. Demonstrates the three core building blocks every Lindy agent uses: Trigger, Agent Step (prompt + model + skills), and Action.
lindy-install-auth setupClick "New Agent" at
In the prompt field ("How can I help you?"), type:
When I send a webhook, summarize the message and post it to Slack
Agent Builder auto-generates the workflow with trigger + action nodes
Click the trigger node at the top of the workflow canvas
Select Webhook Received
Copy the generated URL:
https://public.lindy.ai/api/v1/webhooks/<unique-id>
Click Generate Secret — copy immediately (shown once)
Channel: #general (or test channel)
Message field mode: AI Prompt
Instruction:
Summarize the webhook payload in one sentence.
Payload: {{webhook_received.request.body}}
Open Settings > Prompt:
You are a webhook summarizer. When you receive a webhook payload,
extract the key information and create a concise one-sentence summary.
Be factual and specific. Do not add opinions or speculation.
curl -X POST "https://public.lindy.ai/api/v1/webhooks/YOUR_ID" \
-H "Authorization: Bearer YOUR_SECRET" \
-H "Content-Type: application/json" \
-d '{
"event": "order.created",
"customer": "Jane Doe",
"amount": 149.99,
"items": ["Widget Pro", "Adapter Cable"]
}'
Expected Slack message:
Jane Doe placed a $149.99 order for Widget Pro and Adapter Cable.
Navigate to the Tasks tab in your agent view. Confirm status shows Completed. Click into the task to see each step's input/output for debugging.
| Component | Purpose | Hello World Value |
|---|---|---|
| Prompt | Core behavioral instructions | "Summarize webhook payloads" |
| Model | AI engine powering decisions | Default (GPT-4 / Claude / Gemini) |
| Skills | Available actions & tools | Slack Send Channel Message |
| Exit Conditions | When the task is "done" | Message sent successfully |
| Variable | Contents |
|---|---|
{{webhook_received.request.body}} | Full JSON payload |
{{webhook_received.request.headers}} | HTTP request headers |
{{webhook_received.request.query}} | URL query parameters |
| Mode | Behavior | Credit Cost |
|---|---|---|
| Auto | Agent determines value from context | Standard |
| AI Prompt | Natural language instructions generate content | Standard |
| Set Manually | Exact value, no AI processing | Lower |
Replace the Slack action with Gmail Send Email:
"Summary: {{webhook_received.request.body.event}}""Summarize this event: {{webhook_received.request.body}}"| Issue | Cause | Solution |
|---|---|---|
| Webhook returns 401 | Missing Authorization header | Add Bearer <secret> header |
| Slack message not sent | Channel not authorized | Re-authorize Slack in Lindy |
| Task shows "Failed" | Action misconfigured | Check field references in step config |
| No task created | Agent not active | Publish/activate the agent |
| Empty summary | Payload not reaching LLM | Verify {{webhook_received.request.body}} reference |
~1-3 credits per invocation on basic models. Free tier (400 credits/month) supports ~130-400 test runs per month.
Proceed to lindy-core-workflow-a for a full multi-step agent workflow.
Review OpenRouter integration for regulatory compliance (SOC2, GDPR,
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