> ## Documentation Index
> Fetch the complete documentation index at: https://docs.ycloud.com/llms.txt
> Use this file to discover all available pages before exploring further.
# Example 1: AI auto-reply
This example demonstrates how to implement a basic automated reply workflow using n8n, a large language model and a YCloud node:
When the YCloud platform receives an inbound message, it triggers an n8n workflow via a webhook. The workflow calls upon the large language model to generate a reply, and then sends the message back to the user via the YCloud node.
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### Overall Process
### Webhook Event
1. Create a Webhook endpoint
1. Use the n8n Webhook Node to create a new listener
2. Select POST as the HTTP method
3. In the Options, set the Response Code to 200 and ensure that ‘Immediately’ is selected
Add your endpoint details to the YCloud platform and select the Webhook events you wish to monitor
### Parse the return value and verify the signature
#### Parse the return value
Parsing the headers in the webhook response using N8N’s built-in ‘code’ node
Select JavaScript for parsing
```javascript theme={"theme":{"light":"github-light","dark":"github-dark"}}
function parseSignatureHeader(signatureHeader) {
const result = {};
for (const part of (signatureHeader || '').split(',')) {
const [key, value] = part.split('=');
if (key && value) {
result[key.trim()] = value.trim();
}
}
return result;
}
const input = $input.first().json;
const headers = input.headers || {};
const body = input.body;
const signatureHeader = headers['ycloud-signature'] ;
const parsed = parseSignatureHeader(signatureHeader);
const timestamp = parsed.t;
const receivedSignature = parsed.s;
const payload =
body === undefined || body === null
? ''
: typeof body === 'string'
? body
: JSON.stringify(body);
const signedPayload = `${timestamp}.${payload}`;
return [
{
json: {
...input,
timestamp,
receivedSignature,
payload,
signedPayload,
signatureHeader,
}
}
];
```
The return values of this node are:
* The original value,
* The timestamp,
* The received signature, the payload, the signed payload, and the signature information in the request header
#### Encrypted data
In the previous step, the data was fully partitioned. In this node, we will use SignedPayload and Secret. We will use the Crypto node to encrypt the data.
Ge Secret from YCloud platform.
#### Compare signatures
Use an if statement to verify the signature information; if it matches, the verification is considered successful.
#### Reply to messages using AI
Once you have subscribed to the `whatsapp.inbound_message.received` and `whatsapp.message.updated` events, you will receive a push notification when a message is received, or a follow-up status update after a message has been sent.
1. Use the `switch` node to configure multiple webhook notification types.
2. When an `inbound_message_received` event is received, a reply can be generated by calling the AI API
3. Use the merge node to retain the collection of webhook push data from the preceding section
4. Sending messages using YCloud nodes
Fill in the relevant details, place the AI-generated text in the Body field, and send.
Please note that the sender and recipient are **reversed** here; this is a reply message.
With that, the complete n8n workflow—Webhook → Large Language Model → Automated Reply—is now configured.
### Save to a data table (optional)
### Monitor subsequent updates to the message sent (optional)
Once step 5 is complete, the data will be pushed via the `whatsapp.message.update` event.
Upon receiving this push, you can use the `datatable - update rows` node to update the data table, thereby tracking the entire message delivery process.
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