feat: generate libraries

cloud-sdk-librarian-robot · cloud-sdk-librarian-robot · commit 064889391a72 · 2026-03-09T14:34:52.000Z
diff --git a/.librarian/state.yaml b/.librarian/state.yaml
@@ -3354,7 +3354,7 @@ libraries:
     tag_format: '{id}-v{version}'
   - id: google-cloud-vectorsearch
     version: 0.6.0
-    last_generated_commit: 5c9602dbb5ac6856c07daf83be1fbd001a972ef3
+    last_generated_commit: 8f70147e819ed25cc75c73c4037ce64f9cbb68db
     apis:
       - path: google/cloud/vectorsearch/v1beta
         service_config: vectorsearch_v1beta.yaml
diff --git a/packages/google-cloud-vectorsearch/google/cloud/vectorsearch_v1/types/data_object_search_service.py b/packages/google-cloud-vectorsearch/google/cloud/vectorsearch_v1/types/data_object_search_service.py
@@ -119,48 +119,14 @@ class SearchHint(proto.Message):
     class IndexHint(proto.Message):
         r"""Message to specify the index to use for the search.
 
-        .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
-
         Attributes:
-            dense_scann_params (google.cloud.vectorsearch_v1.types.SearchHint.IndexHint.DenseScannParams):
-                Optional. Dense ScaNN parameters.
-
-                This field is a member of `oneof`_ ``params``.
             name (str):
                 Required. The resource name of the index to use for the
                 search. The index must be in the same project, location, and
                 collection. Format:
                 ``projects/{project}/locations/{location}/collections/{collection}/indexes/{index}``
         """
 
-        class DenseScannParams(proto.Message):
-            r"""Parameters for dense ScaNN.
-
-            Attributes:
-                search_leaves_pct (int):
-                    Optional. Dense ANN param overrides to control recall and
-                    latency. The percentage of leaves to search, in the range
-                    [0, 100].
-                initial_candidate_count (int):
-                    Optional. The number of initial candidates.
-                    Must be a positive integer (> 0).
-            """
-
-            search_leaves_pct: int = proto.Field(
-                proto.INT32,
-                number=1,
-            )
-            initial_candidate_count: int = proto.Field(
-                proto.INT32,
-                number=2,
-            )
-
-        dense_scann_params: "SearchHint.IndexHint.DenseScannParams" = proto.Field(
-            proto.MESSAGE,
-            number=2,
-            oneof="params",
-            message="SearchHint.IndexHint.DenseScannParams",
-        )
         name: str = proto.Field(
             proto.STRING,
             number=1,
diff --git a/packages/google-cloud-vectorsearch/google/cloud/vectorsearch_v1/types/vectorsearch_service.py b/packages/google-cloud-vectorsearch/google/cloud/vectorsearch_v1/types/vectorsearch_service.py
@@ -934,12 +934,15 @@ class AutoscalingSpec(proto.Message):
         Attributes:
             min_replica_count (int):
                 Optional. The minimum number of replicas. If not set or set
-                to ``0``, defaults to ``2``. Must be >= ``2`` and <=
+                to ``0``, defaults to ``2``. Must be >= ``1`` and <=
                 ``1000``.
             max_replica_count (int):
-                Optional. The maximum number of replicas. If not set or set
-                to ``0``, defaults to the greater of ``min_replica_count``
-                and ``5``. Must be >= ``min_replica_count`` and <= ``1000``.
+                Optional. The maximum number of replicas. Must be >=
+                ``min_replica_count`` and <= ``1000``. For the v1beta
+                version, if not set or set to ``0``, defaults to the greater
+                of ``min_replica_count`` and ``5``. For all other versions,
+                if not set or set to ``0``, defaults to the greater of
+                ``min_replica_count`` and ``2``.
         """
 
         min_replica_count: int = proto.Field(
