> ## 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 Providers

> Retrieves all available AI providers with their capabilities (Language, Embeddings, Image) and models

## Response

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

<ResponseField name="modelsProviders" type="array">
  Array of AI model providers

  <Expandable title="properties">
    <ResponseField name="name" type="string">
      Provider name
    </ResponseField>

    <ResponseField name="capabilities" type="array">
      Array of capabilities (Language, Embeddings, Image)
    </ResponseField>

    <ResponseField name="models" type="array">
      Array of available models from this provider
    </ResponseField>
  </Expandable>
</ResponseField>

<ResponseField name="vectorstoresProviders" type="array">
  Array of vector store providers
</ResponseField>

<RequestExample>
  ```bash cURL theme={null}
  curl --request GET \
    --url https://api.yourapp.com/api/ai/providers
  ```

  ```javascript JavaScript theme={null}
  const response = await fetch('https://api.yourapp.com/api/ai/providers', {
    method: 'GET'
  });

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

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

  url = "https://api.yourapp.com/api/ai/providers"
  response = requests.get(url)
  data = response.json()
  ```
</RequestExample>

<ResponseExample>
  ```json Success Response theme={null}
  {
    "success": true,
    "modelsProviders": [
      {
        "name": "OpenAI",
        "capabilities": ["Language", "Embeddings", "Image"],
        "models": [
          {
            "id": "gpt-4o",
            "name": "GPT-4 Optimized",
            "type": "Language"
          },
          {
            "id": "text-embedding-3-large",
            "name": "Text Embedding 3 Large",
            "type": "Embeddings"
          },
          {
            "id": "dall-e-3",
            "name": "DALL-E 3",
            "type": "Image"
          }
        ]
      },
      {
        "name": "Anthropic",
        "capabilities": ["Language"],
        "models": [
          {
            "id": "claude-3-5-sonnet-20241022",
            "name": "Claude 3.5 Sonnet",
            "type": "Language"
          }
        ]
      }
    ],
    "vectorstoresProviders": [
      {
        "name": "Pinecone",
        "type": "vectorstore"
      },
      {
        "name": "Chroma",
        "type": "vectorstore"
      }
    ]
  }
  ```
</ResponseExample>