> ## Documentation Index
> Fetch the complete documentation index at: https://docs.autocalls.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Get available models

> Retrieve available AI models for assistant configuration

This endpoint returns a list of available AI models that can be used when creating or updating assistants.

### Query Parameters

<ParamField query="type" type="string" default="llm">
  The type of models to retrieve based on engine mode:

  * `llm` - LLM models for **pipeline** mode (default)
  * `multimodal` - Multimodal models for **multimodal** mode
  * `dualplex` - Multimodal models for **dualplex** mode
</ParamField>

### Response fields

<ResponseField name="data" type="array">
  <Expandable title="properties">
    <ResponseField name="id" type="integer">
      The unique identifier of the model
    </ResponseField>

    <ResponseField name="name" type="string">
      The display name of the model
    </ResponseField>

    <ResponseField name="code" type="string">
      The internal code (only for multimodal/dualplex models)
    </ResponseField>
  </Expandable>
</ResponseField>

<ResponseExample>
  ```json LLM Models (type=llm) theme={null}
  [
    {
      "id": 1,
      "name": "GPT-4o-mini"
    },
    {
      "id": 2,
      "name": "GPT-4.1-mini"
    }
  ]
  ```

  ```json Multimodal/Dualplex Models (type=multimodal or type=dualplex) theme={null}
  [
    {
      "id": 1,
      "name": "GPT-4o",
      "code": "gpt-4o-realtime"
    },
    {
      "id": 4,
      "name": "GPT Realtime",
      "code": "gpt-realtime"
    }
  ]
  ```
</ResponseExample>

### Notes

* If no `type` parameter is provided, LLM models are returned by default
* Use `llm_model_id` field when creating **pipeline** assistants
* Use `multimodal_model_id` field when creating **multimodal** or **dualplex** assistants