> For the complete documentation index, see [llms.txt](https://docs.wobby.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.wobby.ai/ai-analysts/creating-an-agent/models.md).

# Models

The Models tab lets you configure which semantic layer models, dimensions, and measures your agent can access.

### Why Configure Model Access?

Not every agent needs access to all your data. By configuring model access, you can:

* **Focus the agent** - Limit access to relevant models for the agent's purpose
* **Improve accuracy** - Fewer options means less confusion for the agent
* **Enforce governance** - Prevent agents from accessing sensitive data

### Configuring Access

#### Enable/Disable Models

Each model in your semantic layer appears as a card. Toggle the model on or off to control whether the agent can use it.

#### Dimension & Measure Access

Within each enabled model, you can further restrict access to specific dimensions and measures:

1. Expand a model card
2. Toggle individual dimensions on/off
3. Toggle individual measures on/off

The agent will only see and use the enabled components when answering questions.

### No Models Available?

If you see "No models available", you need to create models in your semantic layer first:

1. Go to **Models** in the left sidebar
2. Create models from your connected data sources
3. Return here to configure agent access

### Best Practices

* Start with minimal access and expand as needed
* Disable models that aren't relevant to this agent's purpose
* For sensitive measures (e.g., salary data), create a separate agent with restricted access
* Review model access when you add new models to your semantic layer


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# 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.wobby.ai/ai-analysts/creating-an-agent/models.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.

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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.