> For the complete documentation index, see [llms.txt](https://docs.gallabox.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.gallabox.com/whatsapp-flows/sending-a-whatsapp-form/send-whatsapp-form-in-a-bot.md).

# Send WhatsApp Form in a Bot

### **Overview**

Gallabox Bots allow for seamless integration of interactive elements such as **Ask Card** and **Send Card** to facilitate WhatsApp Forms sharing. By selecting between *Ask Form Card* for input-requiring interactions and *Send Form Card* for information dissemination without user input, you can tailor the experience to your customer's needs.

### Ask Form Card

The "Ask Form" card simplifies the process of gathering and managing user data within the Gallabox platform. This feature allows users to seamlessly collect information from users through customizable forms.

Read more about the usage of Ask Form Card [here](/bots/ask-questions/ask-form.md).

<figure><img src="/files/mMtar6o2GgfgooeaYhFZ" alt=""><figcaption></figcaption></figure>

### Send Form Card

The "Send Form" feature in Gallabox enables users to transmit customizable forms via messaging platforms. This feature is useful for sending forms to users without requiring input from them, streamlining communication and data collection processes.

Read more about the usage of Send Form Card [here](/bots/send-card.md).

<figure><img src="/files/grskm1Gw9pcLeFz5zWJg" alt=""><figcaption></figcaption></figure>


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# Agent Instructions
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## 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, and the optional `goal` query parameter:

```
GET https://docs.gallabox.com/whatsapp-flows/sending-a-whatsapp-form/send-whatsapp-form-in-a-bot.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
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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.
