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

# List ML Model Services

> List all ML model services with optional filtering and pagination

# List ML Model Services

List all ML model services with optional filtering and pagination.

## Query Parameters

<ParamField query="limit" type="integer" default="10">
  Maximum number of results to return (max: 1000000).
</ParamField>

<ParamField query="before" type="string">
  Cursor for backward pagination.
</ParamField>

<ParamField query="after" type="string">
  Cursor for forward pagination.
</ParamField>

<ParamField query="fields" type="string">
  Comma-separated list of fields to include: `owners`, `tags`, `domains`.
</ParamField>

<ParamField query="include" type="string" default="non-deleted">
  Include `all`, `deleted`, or `non-deleted` entities.
</ParamField>

<RequestExample dropdown>
  ```python GET /v1/services/mlmodelServices theme={null}
  from metadata.sdk import configure
  from metadata.sdk.entities import MlModelServices

  configure(
      host="https://your-company.open-metadata.org/api",
      jwt_token="your-jwt-token"
  )

  # List first page
  services = MlModelServices.list(limit=50)
  for svc in services.data:
      print(f"{svc.fullyQualifiedName} ({svc.serviceType})")

  # List all with auto-pagination
  for svc in MlModelServices.list_all():
      print(f"{svc.fullyQualifiedName}")

  # List with fields
  services = MlModelServices.list(
      fields=["owners", "tags", "domains"],
      limit=50
  )

  for svc in services.data:
      print(f"{svc.fullyQualifiedName}")
      if svc.owners:
          print(f"  Owners: {[o.name for o in svc.owners]}")
  ```

  ```java GET /v1/services/mlmodelServices theme={null}
  import static org.openmetadata.sdk.fluent.MlModelServices.*;

  // List first page
  var result = MlModelServices.list()
      .limit(50)
      .execute();

  for (var svc : result.getData()) {
      System.out.println(svc.getFullyQualifiedName());
  }

  // List with fields
  var result = MlModelServices.list()
      .fields("owners", "tags", "domains")
      .limit(50)
      .execute();

  for (var svc : result.getData()) {
      System.out.println(svc.getFullyQualifiedName());
  }
  ```

  ```bash GET /v1/services/mlmodelServices theme={null}
  # List all
  curl "{base_url}/api/v1/services/mlmodelServices?limit=50" \
    -H "Authorization: Bearer {access_token}"

  # With fields
  curl "{base_url}/api/v1/services/mlmodelServices?fields=owners,tags,domains&limit=50" \
    -H "Authorization: Bearer {access_token}"
  ```
</RequestExample>

<ResponseExample>
  ```json Response theme={null}
  {
    "data": [
      {
        "id": "ca22d46e-81b9-4e48-85b5-0adc44980da9",
        "name": "mlflow_svc",
        "fullyQualifiedName": "mlflow_svc",
        "serviceType": "Mlflow",
        "version": 0.1,
        "updatedAt": 1769982621618,
        "updatedBy": "admin",
        "href": "http://localhost:8585/api/v1/services/mlmodelServices/ca22d46e-81b9-4e48-85b5-0adc44980da9",
        "connection": {
          "config": {
            "type": "Mlflow",
            "trackingUri": "http://localhost:8088",
            "registryUri": "http://localhost:8088",
            "supportsMetadataExtraction": true
          }
        },
        "owners": [],
        "tags": [],
        "deleted": false,
        "domains": []
      }
    ],
    "paging": {
      "after": "...",
      "total": 3
    }
  }
  ```
</ResponseExample>

***

## Returns

Returns a paginated list of ML model service objects. By default, only basic fields are included. Use the `fields` parameter to request additional data.

## Response

<ResponseField name="data" type="array">
  Array of ML model service objects.

  <Expandable title="properties">
    <ResponseField name="id" type="string">
      Unique identifier for the ML model service (UUID format).
    </ResponseField>

    <ResponseField name="name" type="string">
      ML model service name.
    </ResponseField>

    <ResponseField name="fullyQualifiedName" type="string">
      Fully qualified name of the service.
    </ResponseField>

    <ResponseField name="displayName" type="string">
      Human-readable display name.
    </ResponseField>

    <ResponseField name="serviceType" type="string">
      Type of ML model service (e.g., Mlflow, Sklearn, SageMaker, CustomMlModel).
    </ResponseField>

    <ResponseField name="connection" type="object">
      Connection configuration for the service.
    </ResponseField>

    <ResponseField name="owners" type="array" optional>
      List of owners. Only included when `fields` contains `owners`.
    </ResponseField>

    <ResponseField name="tags" type="array" optional>
      Classification tags. Only included when `fields` contains `tags`.
    </ResponseField>

    <ResponseField name="domains" type="array" optional>
      Domain assignments. Only included when `fields` contains `domains`.
    </ResponseField>
  </Expandable>
</ResponseField>

<ResponseField name="paging" type="object">
  Pagination information.

  <Expandable title="properties">
    <ResponseField name="total" type="integer">
      Total count of ML model services matching the query.
    </ResponseField>

    <ResponseField name="after" type="string" optional>
      Cursor for the next page of results. Null if this is the last page.
    </ResponseField>

    <ResponseField name="before" type="string" optional>
      Cursor for the previous page of results. Null if this is the first page.
    </ResponseField>
  </Expandable>
</ResponseField>

***

## Error Handling

| Code  | Error Type     | Description                                     |
| ----- | -------------- | ----------------------------------------------- |
| `401` | `UNAUTHORIZED` | Invalid or missing authentication token         |
| `403` | `FORBIDDEN`    | User lacks permission to list ML model services |