> For the complete documentation index, see [llms.txt](https://docs.xenioo.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.xenioo.com/xenioo-api/globa-platform-api/bots/cloning-and-referencing/reference-clone.md).

# Reference Clone

This endpoint will create a referenced clone of a bot. The source bot will automatically become a [Bot Master](/basic-concepts/chatbot-details/master-and-child.md) and the new bot a referenced clone.

An active [Master Bot](/xenioo-api/globa-platform-api/bots/cloning-and-referencing/reference-clone.md) package is required in order to use this endpoint.

### Request

The following request will create a referenced clone:

```bash
curl --location --request POST 'https://<SERVICE ENDPOINT>/bots/clone/byref' \
--header 'Authorization: Bearer <BOT_AUTH_TOKEN>' \
--header 'Content-Type: application/json' \
```

{% hint style="info" %}
Reference clones chatbots retain by default all of the contents of the original chatbot.&#x20;
{% endhint %}

### Response

If successful, the response will contain both the API Token and the API Secret of the newly created chatbot.

```javascript
{
    "APIKey":"...",
    "APISecret":"...."
}
```

### Response Codes

This endpoint will reply with the following standard HTTP codes.

| Code | Meaning                                                      |
| ---- | ------------------------------------------------------------ |
| 200  | Ok. The request has been successfully fulfilled.             |
| 404  | Not Found. The specified source chatbot have not been found. |


---

# 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:

```
GET https://docs.xenioo.com/xenioo-api/globa-platform-api/bots/cloning-and-referencing/reference-clone.md?ask=<question>
```

The question 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.