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

# Get All Models

> Retrieves all available AI models categorized by type

## Response

<ResponseField name="success" type="boolean">
  Indicates if the operation was successful
</ResponseField>

<ResponseField name="models" type="object">
  Models categorized by type

  <Expandable title="properties">
    <ResponseField name="llms" type="array">
      Array of language models
    </ResponseField>

    <ResponseField name="embeddings" type="array">
      Array of embedding models
    </ResponseField>

    <ResponseField name="image" type="array">
      Array of image generation models
    </ResponseField>
  </Expandable>
</ResponseField>

<ResponseField name="vectorstores" type="array">
  Array of available vector stores
</ResponseField>

<RequestExample>
  ```bash cURL theme={null}
  curl --request GET \
    --url https://api.yourapp.com/api/ai/models \
    --header 'Authorization: Bearer <token>'
  ```

  ```javascript JavaScript theme={null}
  const response = await fetch('https://api.yourapp.com/api/ai/models', {
    method: 'GET',
    headers: {
      'Authorization': 'Bearer <token>'
    }
  });

  const data = await response.json();
  ```

  ```python Python theme={null}
  import requests

  url = "https://api.yourapp.com/api/ai/models"
  headers = {
      "Authorization": "Bearer <token>"
  }

  response = requests.get(url, headers=headers)
  data = response.json()
  ```
</RequestExample>

<ResponseExample>
  ```json Success Response theme={null}
  {
    "success": true,
    "models": {
      "llms": [
        {
          "id": "gpt-4o",
          "name": "GPT-4 Optimized",
          "provider": "OpenAI",
          "contextWindow": 128000
        },
        {
          "id": "claude-3-5-sonnet-20241022",
          "name": "Claude 3.5 Sonnet",
          "provider": "Anthropic",
          "contextWindow": 200000
        },
        {
          "id": "gemini-2.0-flash-exp",
          "name": "Gemini 2.0 Flash",
          "provider": "Google",
          "contextWindow": 1000000
        }
      ],
      "embeddings": [
        {
          "id": "text-embedding-3-large",
          "name": "Text Embedding 3 Large",
          "provider": "OpenAI",
          "dimensions": 3072
        },
        {
          "id": "text-embedding-3-small",
          "name": "Text Embedding 3 Small",
          "provider": "OpenAI",
          "dimensions": 1536
        }
      ],
      "image": [
        {
          "id": "dall-e-3",
          "name": "DALL-E 3",
          "provider": "OpenAI"
        },
        {
          "id": "google/gemini-2.5-flash-image",
          "name": "Gemini 2.5 Flash Image",
          "provider": "Google"
        }
      ]
    },
    "vectorstores": [
      {
        "id": "pinecone",
        "name": "Pinecone"
      },
      {
        "id": "chroma",
        "name": "Chroma"
      }
    ]
  }
  ```

  ```json Error Response theme={null}
  {
    "success": false,
    "message": "Unauthorized"
  }
  ```
</ResponseExample>