List ML Model Services

List all ML model services with optional filtering and pagination

GET /v1/services/mlmodelServices

GET /v1/services/mlmodelServices

Python

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]}")

Response

{
  "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
  }
}

List ML Model Services

List all ML model services with optional filtering and pagination.

Query Parameters

limit · integer · default: "10"

Maximum number of results to return (max: 1000000).

before · string

Cursor for backward pagination.

after · string

Cursor for forward pagination.

fields · string

Comma-separated list of fields to include: owners, tags, domains.

include · string · default: "non-deleted"

Include all, deleted, or non-deleted entities.

GET /v1/services/mlmodelServices

Python

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]}")

Response

{
  "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
  }
}

---

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

data · array

Array of ML model service objects.

Show properties

id · string

Unique identifier for the ML model service (UUID format).

name · string

ML model service name.

fullyQualifiedName · string

Fully qualified name of the service.

displayName · string

Human-readable display name.

serviceType · string

Type of ML model service (e.g., Mlflow, Sklearn, SageMaker, CustomMlModel).

connection · object

Connection configuration for the service.

owners · array

List of owners. Only included when fields contains owners.

tags · array

Classification tags. Only included when fields contains tags.

domains · array

Domain assignments. Only included when fields contains domains.

paging · object

Pagination information.

Show properties

total · integer

Total count of ML model services matching the query.

after · string

Cursor for the next page of results. Null if this is the last page.

before · string

Cursor for the previous page of results. Null if this is the first page.

---

Error Handling

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