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GET
https://sandbox.getcollate.io/api
/
v1
/
services
/
mlmodelServices
/
{id}
/
versions
GET /v1/services/mlmodelServices/{id}/versions
from metadata.sdk import configure
from metadata.sdk.entities import MlModelServices

configure(
    host="https://your-company.getcollate.io/api",
    jwt_token="your-jwt-token"
)

# List all versions
versions = MlModelServices.get_versions("ca22d46e-81b9-4e48-85b5-0adc44980da9")
for v in versions:
    print(f"Version {v.version}: {v.description}")

# Get a specific version
svc_v1 = MlModelServices.get_specific_version(
    "ca22d46e-81b9-4e48-85b5-0adc44980da9",
    "0.1"
)
print(f"Original description: {svc_v1.description}")

{
  "entityType": "mlmodelService",
  "versions": [
    "{\"id\":\"ca22d46e-81b9-4e48-85b5-0adc44980da9\",\"name\":\"mlflow_svc\",\"fullyQualifiedName\":\"mlflow_svc\",\"version\":0.2,\"description\":\"Updated: Production MLflow tracking server\",\"serviceType\":\"Mlflow\"}",
    "{\"id\":\"ca22d46e-81b9-4e48-85b5-0adc44980da9\",\"name\":\"mlflow_svc\",\"fullyQualifiedName\":\"mlflow_svc\",\"version\":0.1,\"serviceType\":\"Mlflow\"}"
  ]
}

​
ML Model Service Versions

Every change to an ML model service entity creates a new version. Use these endpoints to view the version history and retrieve specific versions.

​
List Versions

​
id
string
required
UUID of the ML model service.

​
Get Specific Version

Use GET /v1/services/mlmodelServices/{id}/versions/{version} to retrieve a specific version.
​
id
string
required
UUID of the ML model service.
​
version
string
required
Version number to retrieve (e.g., 0.2).
GET /v1/services/mlmodelServices/{id}/versions
from metadata.sdk import configure
from metadata.sdk.entities import MlModelServices

configure(
    host="https://your-company.getcollate.io/api",
    jwt_token="your-jwt-token"
)

# List all versions
versions = MlModelServices.get_versions("ca22d46e-81b9-4e48-85b5-0adc44980da9")
for v in versions:
    print(f"Version {v.version}: {v.description}")

# Get a specific version
svc_v1 = MlModelServices.get_specific_version(
    "ca22d46e-81b9-4e48-85b5-0adc44980da9",
    "0.1"
)
print(f"Original description: {svc_v1.description}")

{
  "entityType": "mlmodelService",
  "versions": [
    "{\"id\":\"ca22d46e-81b9-4e48-85b5-0adc44980da9\",\"name\":\"mlflow_svc\",\"fullyQualifiedName\":\"mlflow_svc\",\"version\":0.2,\"description\":\"Updated: Production MLflow tracking server\",\"serviceType\":\"Mlflow\"}",
    "{\"id\":\"ca22d46e-81b9-4e48-85b5-0adc44980da9\",\"name\":\"mlflow_svc\",\"fullyQualifiedName\":\"mlflow_svc\",\"version\":0.1,\"serviceType\":\"Mlflow\"}"
  ]
}

​
Returns

List versions returns an object with entityType and a versions array of serialized entity snapshots (newest first). Get specific version returns the full ML model service object as it existed at that version.

​
Error Handling

CodeError TypeDescription
401UNAUTHORIZEDInvalid or missing authentication token
404NOT_FOUNDML model service or version does not exist