1.54.0

1.54.0

New Features

• Registry: log_model(..., options={"case_sensitive": True}) and
  options={"max_batch_size": N} apply those settings to all methods. Per-method
  method_options still override the global values.

• Feature Store: create_online_service accepts a size kwarg naming the size to provision the Online
  Service at, one of "XS", "S", "M", "L", "XL", "2XL", "3XL" (case-insensitive). When
  omitted, the server-side default applies; accounts that cap the available size provision at their
  cap. get_online_service_status() now reports the provisioned size, which is None for services
  created before sizes were recorded.

• Experiment Tracking: Source provenance now also records the id of the enclosing ML job when a run is created from
  inside one.

Bug Fixes

• Feature Store: Feature View metadata tags carrying unknown keys (including a legacy refresh_mode)
  no longer fail to deserialize; unknown keys are ignored on read and the tag still does not persist
  refresh_mode.
• Registry: Fixed ModelVersion.load() failing with ValueError: ... is not a valid SQL identifier
  when the model's owner role is a quoted identifier.
• Feature Store: Fixed FeatureStore.update_feature_view() failing with SQL compilation error: invalid value 'ADAPTIVE' for property 'REFRESH_MODE' when enabling online storage for an existing
  feature view.

Behavior Changes

Deprecations