# WhatsApp

The Aisera Gen AI platform supports adding a WhatsApp channel to your application/bot.

**To add the WhatsApp channel to your Tenant:**

1. Navigate to **Settings > Channels**.
2. Click the **+ New Channel** button in the upper-right corner of the window.
3. Start to type `WhatsApp` in the **Search** field, and you will see the WhatsApp icon.\
   \
   ![](/files/yQLjcufL2uasOkd41Qxg)\ <br>
4. Select the **WhatsApp icon** and choose **Next**.
5. Fill in the information for these required fields:
   1. Channel Name
   2. Phone number ID
   3. Access Token
   4. Phone number
   5. WhatsApp Business Account ID
   6. App ID
   7. End chat phrase

&#x20;             The WhatsApp Admin can collect this information for you using\
&#x20;             the [WhatsApp API](https://developers.facebook.com/docs/whatsapp/cloud-api/get-started).

6. Click the OK button.

After the WhatsApp channel exists on your tenant, you can associate the WhatsApp channel with your applications/bot.

**To associate a WhatsApp channel with your application/bot:**

1. Navigate to **Settings > AiseraGPT**.
2. Choose the application/bot that you want to associate with the WhatsApp channel.
3. Double-click to open the application/bot to the **AiseraGPT Details** window.
4. Scroll down the window until you see the **+ Add Channel** button.\
   ![](/files/AZWxaBc7AKyCiDeG7LNJ)
5. Click the **+ Add Channel** button.
6. Type part of your WhatsApp channel name into the **Search** field or choose from the list of channel names in your tenant that appear in a pull-down list.
7. Click **OK**.

The WhatsApp channel supports attachments and Live Agent connection.

<br>


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.aisera.com/aisera-platform/channels/whatsapp.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
