OptionalcommentUser-provided description.
OptionalconfigDestinations, routing, rate limits, and payload logging configuration.
Required on Create. On Update, provide this field when update_mask
contains config or one of its subpaths.
OptionalcreatedCreator identity.
OptionalcreateTime the model service was created.
OptionaleffectiveOwner of the model service.
OptionaletagOptimistic concurrency token returned on every read. To make an Update or
Delete conditional, pass the last-read value in that request's etag
field. In REST responses, this value is a base64 string; URL-encode it when
setting the etag query parameter.
OptionalmetastoreMetastore hosting the model service.
OptionalnameResource name of the model service.
Format: model-services/{catalog}.{schema}.{model_service}.
Each {...} component is capped at 255 characters individually.
Server-derived on Create from parent +
model_service_id; required and immutable on Update/Get/Delete.
OptionalsupportedAPI types supported across this service's destinations, such as
openai/v1/chat/completions, openai/v1/embeddings, and
mlflow/v1/chat/completions. Derived from the backing models and providers
at read time.
OptionalupdatedIdentity of the last updater.
OptionalupdateTime the model service was last modified.
A governed AI Gateway endpoint in Unity Catalog that routes inference requests to one or more destinations, such as a foundation model
or an external model reached through a model provider service. Applies
centralized access control, rate limits, and auditing to its traffic.