> For the complete documentation index, see [llms.txt](https://as.advancedplugins.net/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://as.advancedplugins.net/supported-plugins/modelengine-support.md).

# ModelEngine support

## How does ModelEngine work with AdvancedSpawners?&#x20;

Adding a custom ModelEngine model to AdvancedSpawners takes a couple of minutes. ModelEngine pets also fully supports settings from AdvnacedSpawners, as well as custom walking speed, custom damage.

## How to create a ModelEngine pet?

It's very simple! Go into `plugins/AddvancedSpawners/customMobs` folder. You will need to create a new mob now - using your text editor.

Create a .amob file with the name of pet you want, e.g. `ModelRobot.amob`, example:

![](https://i.imgur.com/2t0YJnc.png)

When you create the file, open it with your text editor (Notepad++ is recommended).&#x20;

We have a template you can use for ModelEngine pets:

{% code title="ModelRobot.amob" %}

```yaml
settings:
  health: 20
  damage: 1
  nametagheight: 0
  walkingspeed: 1.1
  modelengine: kindletronjr
skins:
parts:
animations:
```

{% endcode %}

To use your own custom ModelEngine model, simply change `settings.modelengine` to the model name you want. In this example we're using one of the demo mobs `kindletronjr`

That's it!


---

# 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:

```
GET https://as.advancedplugins.net/supported-plugins/modelengine-support.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.
