# Models

The **Models** menu allows you to register the AI models available in your Azure resource within Power Omni. Registering a model here makes it eligible to be used by your Agents and enables automated cost control and auditing.

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### Overview of Registered Models

The main table displays the models that have already been configured, providing crucial financial information:

<table><thead><tr><th width="251">Field</th><th>Purpose</th></tr></thead><tbody><tr><td>Name</td><td>Identification name of the model (Ex: gpt-4o).</td></tr><tr><td>Project</td><td>The Project (Azure) to which this model is linked.</td></tr><tr><td>Input Cost (USD)</td><td>The token cost for data input (the user’s question and the provided context). This is the most common part of consumption.</td></tr><tr><td>Output Cost (USD)</td><td>The token cost for data output (the response generated by the AI).</td></tr></tbody></table>

### How to Register a New Model

To make a new AI model available for use in Power Omni, click the **Create Model** button in the upper-right corner:

<table><thead><tr><th width="188">Field</th><th>Description</th></tr></thead><tbody><tr><td>AI Models</td><td>Select from the dropdown list the AI model you want to register.</td></tr><tr><td>Name</td><td>Define a short name without spaces for the model (maximum 64 characters). This is the name that will appear in Agent selection lists.</td></tr><tr><td>Project</td><td>Link this model to one of the Projects (Azure) you have already registered. The model cost will be billed through this Azure account.</td></tr></tbody></table>

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### Control and Optimization

By registering models with different cost structures, you can optimize your expenses. For example, use a model with lower Input Cost for internal-use Agents with a high volume of questions.
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# Agent Instructions: 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.poweromni.ai/en/administration-and-configuration/artifacts/models.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.