> For the complete documentation index, see [llms.txt](https://docs.nyaru.xyz/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.nyaru.xyz/moderation/purge/includes.md).

# Includes

## Usage

```
@Nyaru purge [count] includes <search arguments>
```

## Examples

* Purge messages containing text `Lumi is dumb` in last **25** messages

> @Nyaru purge 25 includes Lumi is dumb

The above example will fetch last **25** messages in the channel and check if the message content or message text **contains** your search arguments, i.e., `Lumi is dumb`, filter them and then **purges** it.

{% hint style="danger" %}
**Search arguments are case sensitive!** This means `Lumi is dumb` is NOT same as `LUMI is DuMb`. Learn more about case senstivity [here](https://en.wikipedia.org/wiki/Case_sensitivity).
{% endhint %}

Take a look at the other example,&#x20;

* Purge **all** messages *containing* text `Meowryy`

> @Nyaru purge includes Meowryy

{% hint style="warning" %}
If you don't provide count, bot will index last **100** messages and filter them by default.
{% endhint %}

As of the above example, bot will search the text `Meowryy` in last **100** messages of the channel and **purge** them.

Looks awesome? There's **much more**.


---

# 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.nyaru.xyz/moderation/purge/includes.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.
