> For the complete documentation index, see [llms.txt](https://docs.varbase.vardot.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.varbase.vardot.com/10.0.x/developers/understanding-varbase/optional-components/varbase-ai/varbase-ai-agents-recipe.md).

# Varbase AI Agents recipe

Provides an AI-powered chatbot for streamlined administration and allows managing multiple agents with distinct functionalities.

Utilizing the [**AI Agents**](https://www.drupal.org/project/ai_agents)**,** [**AI Assistant API**](https://git.drupalcode.org/project/ai/-/tree/1.0.x/modules/ai_assistant_api)**,** [**AI Chatbot**](https://git.drupalcode.org/project/ai/-/tree/1.0.x/modules/ai_chatbot) modules, and inspired by the outstanding work from the [**Drupal CMS AI**](https://www.drupal.org/project/drupal_cms_ai) **recipe.** Optimized for the Varbase standard and flavor.

## Drupal Recipe <a href="#varbase-ai-module" id="varbase-ai-module"></a>

{% hint style="info" %}
GitHub: [https://github.com/Vardot/varbase\_ai\_agents ](https://github.com/Vardot/varbase_ai_agents)

Drupal.org: <https://www.drupal.org/project/varbase_ai_agents>

After building a project using the `varbase-project` template, you can see the code of the recipe in:
{% endhint %}

```
project_directory
|-- docroot
    |-- recipes
        |-- contrib
            |-- varbase_ai_agents
```

## Add the Recipe Using Composer

```
composer require drupal/varbase_ai_agents:~1.0.0
```

## Change directory to `/web` or `/docroot`&#x20;

## Apply the Recipe with Drush&#x20;

```
drush recipe recipes/contrib/varbase_ai_agents
```


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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.varbase.vardot.com/10.0.x/developers/understanding-varbase/optional-components/varbase-ai/varbase-ai-agents-recipe.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.