diff --git a/CHANGELOG.md b/CHANGELOG.md
index c43825a61d..85a58089e9 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,6 +1,19 @@
 # Changelog
 
 
+## [1.23.0](https://github.com/googleapis/python-aiplatform/compare/v1.22.1...v1.23.0) (2023-03-15)
+
+
+### Features
+
+* Implement Model.copy functionality. ([94dd82f](https://github.com/googleapis/python-aiplatform/commit/94dd82fd2df04e50ede441145684e78b16c4e3e1))
+* Update the v1 service definition to add the fraction_leaf_nodes_to_search_override field which replaces leaf_nodes_to_search_percent_override. ([badd386](https://github.com/googleapis/python-aiplatform/commit/badd3863605f5b63ea107d6af09c71999852f846))
+
+
+### Documentation
+
+* Added missing comma in README ([8cb4377](https://github.com/googleapis/python-aiplatform/commit/8cb43770b33cd9b2070565bf409364d372f139b8))
+
 ## [1.22.1](https://github.com/googleapis/python-aiplatform/compare/v1.22.0...v1.22.1) (2023-02-28)
 
 
diff --git a/README.rst b/README.rst
index 7ebab90d30..fbef44c2b3 100644
--- a/README.rst
+++ b/README.rst
@@ -399,7 +399,7 @@ To deploy a model to a created endpoint:
 
   endpoint.deploy(model,
                   min_replica_count=1,
-                  max_replica_count=5
+                  max_replica_count=5,
                   machine_type='n1-standard-4',
                   accelerator_type='NVIDIA_TESLA_K80',
                   accelerator_count=1)
diff --git a/aiplatform-v1beta1-py.tar.gz b/aiplatform-v1beta1-py.tar.gz
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/docs/aiplatform_v1beta1/match_service.rst b/docs/aiplatform_v1beta1/match_service.rst
new file mode 100644
index 0000000000..92d626895f
--- /dev/null
+++ b/docs/aiplatform_v1beta1/match_service.rst
@@ -0,0 +1,6 @@
+MatchService
+------------------------------
+
+.. automodule:: google.cloud.aiplatform_v1beta1.services.match_service
+    :members:
+    :inherited-members:
diff --git a/docs/aiplatform_v1beta1/services.rst b/docs/aiplatform_v1beta1/services.rst
index 4d4f000af1..3a884eedd1 100644
--- a/docs/aiplatform_v1beta1/services.rst
+++ b/docs/aiplatform_v1beta1/services.rst
@@ -11,6 +11,7 @@ Services for Google Cloud Aiplatform v1beta1 API
     index_endpoint_service
     index_service
     job_service
+    match_service
     metadata_service
     migration_service
     model_service
diff --git a/google/cloud/aiplatform/matching_engine/_protos/match_service.proto b/google/cloud/aiplatform/matching_engine/_protos/match_service.proto
index f37fde1fb6..528f2cf653 100644
--- a/google/cloud/aiplatform/matching_engine/_protos/match_service.proto
+++ b/google/cloud/aiplatform/matching_engine/_protos/match_service.proto
@@ -54,12 +54,15 @@ message MatchRequest {
   // config is used; if set, this value must be > 0.
   int32 approx_num_neighbors = 6;
 
+  // TO BE DEPRECATED. Use [fraction_leaf_nodes_to_search_override] instead.
+  int32 leaf_nodes_to_search_percent_override = 7;
+
   // The fraction of the number of leaves to search, set at query time allows
   // user to tune search performance. This value increase result in both search
   // accuracy and latency increase. The value should be between 0.0 and 1.0. If
   // not set or set to 0.0, query uses the default value specified in
-  // NearestNeighborSearchConfig.TreeAHConfig.leaf_nodes_to_search_percent.
-  int32 leaf_nodes_to_search_percent_override = 7;
+  // NearestNeighborSearchConfig.TreeAHConfig.fraction_leaf_nodes_to_search.
+  double fraction_leaf_nodes_to_search_override = 9;
 
   // If set to true, besides the doc id, query result will also include the
   // embedding. Set this value may impact the query performance (e.g, increase
@@ -182,4 +185,4 @@ message Namespace {
   // query will match datapoints that are red or blue, but if those points are
   // also purple, then they will be excluded even if they are red/blue.
   repeated string deny_tokens = 3;
-}
+}
\ No newline at end of file
diff --git a/google/cloud/aiplatform/models.py b/google/cloud/aiplatform/models.py
index 60bb798166..608beecd4d 100644
--- a/google/cloud/aiplatform/models.py
+++ b/google/cloud/aiplatform/models.py
@@ -4656,6 +4656,125 @@ def upload_tensorflow_saved_model(
             upload_request_timeout=upload_request_timeout,
         )
 
+    # TODO(b/273499620): Add async support.
+    def copy(
+        self,
+        destination_location: str,
+        destination_model_id: Optional[str] = None,
+        destination_parent_model: Optional[str] = None,
+        encryption_spec_key_name: Optional[str] = None,
+        copy_request_timeout: Optional[float] = None,
+    ) -> "Model":
+        """Copys a model and returns a Model representing the copied Model
+        resource. This method is a blocking call.
+
+        Example usage:
+            copied_model = my_model.copy(
+                destination_location="us-central1"
+            )
+
+        Args:
+            destination_location (str):
+                The destination location to copy the model to.
+            destination_model_id (str):
+                Optional. The ID to use for the copied Model, which will
+                become the final component of the model resource name.
+                This value may be up to 63 characters, and valid characters
+                are `[a-z0-9_-]`. The first character cannot be a number or hyphen.
+
+                Only set this field when copying as a new model. If this field is not set,
+                a numeric model id will be generated.
+            destination_parent_model (str):
+                Optional. The resource name or model ID of an existing model that the
+                newly-copied model will be a version of.
+
+                Only set this field when copying as a new version of an existing model.
+            encryption_spec_key_name (Optional[str]):
+                Optional. The Cloud KMS resource identifier of the customer
+                managed encryption key used to protect the model. Has the
+                form:
+                ``projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key``.
+                The key needs to be in the same region as where the compute
+                resource is created.
+
+                If set, this Model and all sub-resources of this Model will be secured by this key.
+
+                Overrides encryption_spec_key_name set in aiplatform.init.
+            copy_request_timeout (float):
+                Optional. The timeout for the copy request in seconds.
+
+        Returns:
+            model (aiplatform.Model):
+                Instantiated representation of the copied model resource.
+
+        Raises:
+            ValueError: If both `destination_model_id` and `destination_parent_model` are set.
+        """
+        if destination_model_id is not None and destination_parent_model is not None:
+            raise ValueError(
+                "`destination_model_id` and `destination_parent_model` can not be set together."
+            )
+
+        parent = initializer.global_config.common_location_path(
+            initializer.global_config.project, destination_location
+        )
+
+        source_model = self.versioned_resource_name
+
+        destination_parent_model = ModelRegistry._get_true_version_parent(
+            parent_model=destination_parent_model,
+            project=initializer.global_config.project,
+            location=destination_location,
+        )
+
+        encryption_spec = initializer.global_config.get_encryption_spec(
+            encryption_spec_key_name=encryption_spec_key_name,
+        )
+
+        if destination_model_id is not None:
+            request = gca_model_service_compat.CopyModelRequest(
+                parent=parent,
+                source_model=source_model,
+                model_id=destination_model_id,
+                encryption_spec=encryption_spec,
+            )
+        else:
+            request = gca_model_service_compat.CopyModelRequest(
+                parent=parent,
+                source_model=source_model,
+                parent_model=destination_parent_model,
+                encryption_spec=encryption_spec,
+            )
+
+        api_client = initializer.global_config.create_client(
+            client_class=utils.ModelClientWithOverride,
+            location_override=destination_location,
+            credentials=initializer.global_config.credentials,
+        )
+
+        _LOGGER.log_action_start_against_resource("Copying", "", self)
+
+        lro = api_client.copy_model(
+            request=request,
+            timeout=copy_request_timeout,
+        )
+
+        _LOGGER.log_action_started_against_resource_with_lro(
+            "Copy", "", self.__class__, lro
+        )
+
+        model_copy_response = lro.result(timeout=None)
+
+        this_model = models.Model(
+            model_copy_response.model,
+            version=model_copy_response.model_version_id,
+            location=destination_location,
+        )
+
+        _LOGGER.log_action_completed_against_resource("", "copied", this_model)
+
+        return this_model
+
     def list_model_evaluations(
         self,
     ) -> List["model_evaluation.ModelEvaluation"]:
diff --git a/google/cloud/aiplatform/v1/schema/predict/instance_v1/types/image_classification.py b/google/cloud/aiplatform/v1/schema/predict/instance_v1/types/image_classification.py
index 76eff71187..011dc846cc 100644
--- a/google/cloud/aiplatform/v1/schema/predict/instance_v1/types/image_classification.py
+++ b/google/cloud/aiplatform/v1/schema/predict/instance_v1/types/image_classification.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1/schema/predict/instance_v1/types/image_object_detection.py b/google/cloud/aiplatform/v1/schema/predict/instance_v1/types/image_object_detection.py
index 60e9a26565..36413beee0 100644
--- a/google/cloud/aiplatform/v1/schema/predict/instance_v1/types/image_object_detection.py
+++ b/google/cloud/aiplatform/v1/schema/predict/instance_v1/types/image_object_detection.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1/schema/predict/instance_v1/types/image_segmentation.py b/google/cloud/aiplatform/v1/schema/predict/instance_v1/types/image_segmentation.py
index 8293836727..8d27de92dd 100644
--- a/google/cloud/aiplatform/v1/schema/predict/instance_v1/types/image_segmentation.py
+++ b/google/cloud/aiplatform/v1/schema/predict/instance_v1/types/image_segmentation.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1/schema/predict/instance_v1/types/text_classification.py b/google/cloud/aiplatform/v1/schema/predict/instance_v1/types/text_classification.py
index 3d4d73311b..4a27d3da77 100644
--- a/google/cloud/aiplatform/v1/schema/predict/instance_v1/types/text_classification.py
+++ b/google/cloud/aiplatform/v1/schema/predict/instance_v1/types/text_classification.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1/schema/predict/instance_v1/types/text_extraction.py b/google/cloud/aiplatform/v1/schema/predict/instance_v1/types/text_extraction.py
index 8d56d702a4..238dec1bb3 100644
--- a/google/cloud/aiplatform/v1/schema/predict/instance_v1/types/text_extraction.py
+++ b/google/cloud/aiplatform/v1/schema/predict/instance_v1/types/text_extraction.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1/schema/predict/instance_v1/types/text_sentiment.py b/google/cloud/aiplatform/v1/schema/predict/instance_v1/types/text_sentiment.py
index 9be5f3122e..377688fe12 100644
--- a/google/cloud/aiplatform/v1/schema/predict/instance_v1/types/text_sentiment.py
+++ b/google/cloud/aiplatform/v1/schema/predict/instance_v1/types/text_sentiment.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1/schema/predict/instance_v1/types/video_action_recognition.py b/google/cloud/aiplatform/v1/schema/predict/instance_v1/types/video_action_recognition.py
index 7e537f8ebd..6019e68288 100644
--- a/google/cloud/aiplatform/v1/schema/predict/instance_v1/types/video_action_recognition.py
+++ b/google/cloud/aiplatform/v1/schema/predict/instance_v1/types/video_action_recognition.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1/schema/predict/instance_v1/types/video_classification.py b/google/cloud/aiplatform/v1/schema/predict/instance_v1/types/video_classification.py
index d0c7bbc784..985fc4a1b9 100644
--- a/google/cloud/aiplatform/v1/schema/predict/instance_v1/types/video_classification.py
+++ b/google/cloud/aiplatform/v1/schema/predict/instance_v1/types/video_classification.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1/schema/predict/instance_v1/types/video_object_tracking.py b/google/cloud/aiplatform/v1/schema/predict/instance_v1/types/video_object_tracking.py
index ecae0ddf43..860862d48c 100644
--- a/google/cloud/aiplatform/v1/schema/predict/instance_v1/types/video_object_tracking.py
+++ b/google/cloud/aiplatform/v1/schema/predict/instance_v1/types/video_object_tracking.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1/schema/predict/params_v1/types/image_classification.py b/google/cloud/aiplatform/v1/schema/predict/params_v1/types/image_classification.py
index c29e9077cc..4c27b36b3c 100644
--- a/google/cloud/aiplatform/v1/schema/predict/params_v1/types/image_classification.py
+++ b/google/cloud/aiplatform/v1/schema/predict/params_v1/types/image_classification.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1/schema/predict/params_v1/types/image_object_detection.py b/google/cloud/aiplatform/v1/schema/predict/params_v1/types/image_object_detection.py
index 7df76ef4ce..5d35aee92a 100644
--- a/google/cloud/aiplatform/v1/schema/predict/params_v1/types/image_object_detection.py
+++ b/google/cloud/aiplatform/v1/schema/predict/params_v1/types/image_object_detection.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1/schema/predict/params_v1/types/image_segmentation.py b/google/cloud/aiplatform/v1/schema/predict/params_v1/types/image_segmentation.py
index 7255f3a0ee..cfacf7315c 100644
--- a/google/cloud/aiplatform/v1/schema/predict/params_v1/types/image_segmentation.py
+++ b/google/cloud/aiplatform/v1/schema/predict/params_v1/types/image_segmentation.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1/schema/predict/params_v1/types/video_action_recognition.py b/google/cloud/aiplatform/v1/schema/predict/params_v1/types/video_action_recognition.py
index 08fc4e3c69..37d9782b30 100644
--- a/google/cloud/aiplatform/v1/schema/predict/params_v1/types/video_action_recognition.py
+++ b/google/cloud/aiplatform/v1/schema/predict/params_v1/types/video_action_recognition.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1/schema/predict/params_v1/types/video_classification.py b/google/cloud/aiplatform/v1/schema/predict/params_v1/types/video_classification.py
index a4b60f722d..4841e1f81d 100644
--- a/google/cloud/aiplatform/v1/schema/predict/params_v1/types/video_classification.py
+++ b/google/cloud/aiplatform/v1/schema/predict/params_v1/types/video_classification.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1/schema/predict/params_v1/types/video_object_tracking.py b/google/cloud/aiplatform/v1/schema/predict/params_v1/types/video_object_tracking.py
index a62e4b7173..aeb143a64e 100644
--- a/google/cloud/aiplatform/v1/schema/predict/params_v1/types/video_object_tracking.py
+++ b/google/cloud/aiplatform/v1/schema/predict/params_v1/types/video_object_tracking.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1/schema/predict/prediction_v1/types/classification.py b/google/cloud/aiplatform/v1/schema/predict/prediction_v1/types/classification.py
index 6ae4718522..8e51a20c24 100644
--- a/google/cloud/aiplatform/v1/schema/predict/prediction_v1/types/classification.py
+++ b/google/cloud/aiplatform/v1/schema/predict/prediction_v1/types/classification.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1/schema/predict/prediction_v1/types/image_object_detection.py b/google/cloud/aiplatform/v1/schema/predict/prediction_v1/types/image_object_detection.py
index 66e701eac7..ff8ec1c228 100644
--- a/google/cloud/aiplatform/v1/schema/predict/prediction_v1/types/image_object_detection.py
+++ b/google/cloud/aiplatform/v1/schema/predict/prediction_v1/types/image_object_detection.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1/schema/predict/prediction_v1/types/image_segmentation.py b/google/cloud/aiplatform/v1/schema/predict/prediction_v1/types/image_segmentation.py
index 5178405162..4d95784633 100644
--- a/google/cloud/aiplatform/v1/schema/predict/prediction_v1/types/image_segmentation.py
+++ b/google/cloud/aiplatform/v1/schema/predict/prediction_v1/types/image_segmentation.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1/schema/predict/prediction_v1/types/tabular_classification.py b/google/cloud/aiplatform/v1/schema/predict/prediction_v1/types/tabular_classification.py
index 89a477240a..24f271ea63 100644
--- a/google/cloud/aiplatform/v1/schema/predict/prediction_v1/types/tabular_classification.py
+++ b/google/cloud/aiplatform/v1/schema/predict/prediction_v1/types/tabular_classification.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1/schema/predict/prediction_v1/types/tabular_regression.py b/google/cloud/aiplatform/v1/schema/predict/prediction_v1/types/tabular_regression.py
index 63f4cb7b3c..98ce422a16 100644
--- a/google/cloud/aiplatform/v1/schema/predict/prediction_v1/types/tabular_regression.py
+++ b/google/cloud/aiplatform/v1/schema/predict/prediction_v1/types/tabular_regression.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1/schema/predict/prediction_v1/types/text_extraction.py b/google/cloud/aiplatform/v1/schema/predict/prediction_v1/types/text_extraction.py
index 7d6c435025..f946b132d3 100644
--- a/google/cloud/aiplatform/v1/schema/predict/prediction_v1/types/text_extraction.py
+++ b/google/cloud/aiplatform/v1/schema/predict/prediction_v1/types/text_extraction.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1/schema/predict/prediction_v1/types/text_sentiment.py b/google/cloud/aiplatform/v1/schema/predict/prediction_v1/types/text_sentiment.py
index b157693ecb..a67bee5840 100644
--- a/google/cloud/aiplatform/v1/schema/predict/prediction_v1/types/text_sentiment.py
+++ b/google/cloud/aiplatform/v1/schema/predict/prediction_v1/types/text_sentiment.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1/schema/predict/prediction_v1/types/video_action_recognition.py b/google/cloud/aiplatform/v1/schema/predict/prediction_v1/types/video_action_recognition.py
index 8bb84abcbd..09801490d6 100644
--- a/google/cloud/aiplatform/v1/schema/predict/prediction_v1/types/video_action_recognition.py
+++ b/google/cloud/aiplatform/v1/schema/predict/prediction_v1/types/video_action_recognition.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1/schema/predict/prediction_v1/types/video_classification.py b/google/cloud/aiplatform/v1/schema/predict/prediction_v1/types/video_classification.py
index e1f1ce2c4c..e2911a90b4 100644
--- a/google/cloud/aiplatform/v1/schema/predict/prediction_v1/types/video_classification.py
+++ b/google/cloud/aiplatform/v1/schema/predict/prediction_v1/types/video_classification.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1/schema/predict/prediction_v1/types/video_object_tracking.py b/google/cloud/aiplatform/v1/schema/predict/prediction_v1/types/video_object_tracking.py
index 2f9a273b62..fe3ce14c74 100644
--- a/google/cloud/aiplatform/v1/schema/predict/prediction_v1/types/video_object_tracking.py
+++ b/google/cloud/aiplatform/v1/schema/predict/prediction_v1/types/video_object_tracking.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/automl_image_classification.py b/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/automl_image_classification.py
index 2010ffd007..1bfc6289ca 100644
--- a/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/automl_image_classification.py
+++ b/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/automl_image_classification.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/automl_image_object_detection.py b/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/automl_image_object_detection.py
index 0a27b0c1d4..bf33b0d3c8 100644
--- a/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/automl_image_object_detection.py
+++ b/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/automl_image_object_detection.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/automl_image_segmentation.py b/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/automl_image_segmentation.py
index 13085a3266..bc43b93706 100644
--- a/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/automl_image_segmentation.py
+++ b/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/automl_image_segmentation.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/automl_tables.py b/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/automl_tables.py
index ec3e5ff59f..85217184ef 100644
--- a/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/automl_tables.py
+++ b/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/automl_tables.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/automl_text_classification.py b/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/automl_text_classification.py
index 9b58bb2d96..0c7bb88d44 100644
--- a/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/automl_text_classification.py
+++ b/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/automl_text_classification.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/automl_text_extraction.py b/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/automl_text_extraction.py
index 9cc323f896..c0ea675bdc 100644
--- a/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/automl_text_extraction.py
+++ b/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/automl_text_extraction.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/automl_text_sentiment.py b/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/automl_text_sentiment.py
index 7469b70a8e..b35c74bd54 100644
--- a/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/automl_text_sentiment.py
+++ b/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/automl_text_sentiment.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/automl_video_action_recognition.py b/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/automl_video_action_recognition.py
index f205988f83..05ea6d1fef 100644
--- a/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/automl_video_action_recognition.py
+++ b/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/automl_video_action_recognition.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/automl_video_classification.py b/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/automl_video_classification.py
index 75f71302be..761bbba297 100644
--- a/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/automl_video_classification.py
+++ b/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/automl_video_classification.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/automl_video_object_tracking.py b/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/automl_video_object_tracking.py
index a76bd92e14..dbd68ffbf3 100644
--- a/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/automl_video_object_tracking.py
+++ b/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/automl_video_object_tracking.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/export_evaluated_data_items_config.py b/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/export_evaluated_data_items_config.py
index c8eae448bb..6e28f920bb 100644
--- a/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/export_evaluated_data_items_config.py
+++ b/google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/export_evaluated_data_items_config.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1beta1/schema/predict/instance_v1beta1/types/image_classification.py b/google/cloud/aiplatform/v1beta1/schema/predict/instance_v1beta1/types/image_classification.py
index 32e165668b..2229caa8a4 100644
--- a/google/cloud/aiplatform/v1beta1/schema/predict/instance_v1beta1/types/image_classification.py
+++ b/google/cloud/aiplatform/v1beta1/schema/predict/instance_v1beta1/types/image_classification.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1beta1/schema/predict/instance_v1beta1/types/image_object_detection.py b/google/cloud/aiplatform/v1beta1/schema/predict/instance_v1beta1/types/image_object_detection.py
index c0a0dd91f2..0abbca887c 100644
--- a/google/cloud/aiplatform/v1beta1/schema/predict/instance_v1beta1/types/image_object_detection.py
+++ b/google/cloud/aiplatform/v1beta1/schema/predict/instance_v1beta1/types/image_object_detection.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1beta1/schema/predict/instance_v1beta1/types/image_segmentation.py b/google/cloud/aiplatform/v1beta1/schema/predict/instance_v1beta1/types/image_segmentation.py
index da6da2ae62..86d35b0eea 100644
--- a/google/cloud/aiplatform/v1beta1/schema/predict/instance_v1beta1/types/image_segmentation.py
+++ b/google/cloud/aiplatform/v1beta1/schema/predict/instance_v1beta1/types/image_segmentation.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1beta1/schema/predict/instance_v1beta1/types/text_classification.py b/google/cloud/aiplatform/v1beta1/schema/predict/instance_v1beta1/types/text_classification.py
index 4c8774e14d..ee5b7d76a9 100644
--- a/google/cloud/aiplatform/v1beta1/schema/predict/instance_v1beta1/types/text_classification.py
+++ b/google/cloud/aiplatform/v1beta1/schema/predict/instance_v1beta1/types/text_classification.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1beta1/schema/predict/instance_v1beta1/types/text_extraction.py b/google/cloud/aiplatform/v1beta1/schema/predict/instance_v1beta1/types/text_extraction.py
index ca55f2767f..691f749b6f 100644
--- a/google/cloud/aiplatform/v1beta1/schema/predict/instance_v1beta1/types/text_extraction.py
+++ b/google/cloud/aiplatform/v1beta1/schema/predict/instance_v1beta1/types/text_extraction.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1beta1/schema/predict/instance_v1beta1/types/text_sentiment.py b/google/cloud/aiplatform/v1beta1/schema/predict/instance_v1beta1/types/text_sentiment.py
index b2b555fc68..3d99b91c54 100644
--- a/google/cloud/aiplatform/v1beta1/schema/predict/instance_v1beta1/types/text_sentiment.py
+++ b/google/cloud/aiplatform/v1beta1/schema/predict/instance_v1beta1/types/text_sentiment.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1beta1/schema/predict/instance_v1beta1/types/video_action_recognition.py b/google/cloud/aiplatform/v1beta1/schema/predict/instance_v1beta1/types/video_action_recognition.py
index d397986fd3..dc83f0f98b 100644
--- a/google/cloud/aiplatform/v1beta1/schema/predict/instance_v1beta1/types/video_action_recognition.py
+++ b/google/cloud/aiplatform/v1beta1/schema/predict/instance_v1beta1/types/video_action_recognition.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1beta1/schema/predict/instance_v1beta1/types/video_classification.py b/google/cloud/aiplatform/v1beta1/schema/predict/instance_v1beta1/types/video_classification.py
index c09e9981e1..be49b7cc88 100644
--- a/google/cloud/aiplatform/v1beta1/schema/predict/instance_v1beta1/types/video_classification.py
+++ b/google/cloud/aiplatform/v1beta1/schema/predict/instance_v1beta1/types/video_classification.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1beta1/schema/predict/instance_v1beta1/types/video_object_tracking.py b/google/cloud/aiplatform/v1beta1/schema/predict/instance_v1beta1/types/video_object_tracking.py
index 6a9ac1575c..e00baec081 100644
--- a/google/cloud/aiplatform/v1beta1/schema/predict/instance_v1beta1/types/video_object_tracking.py
+++ b/google/cloud/aiplatform/v1beta1/schema/predict/instance_v1beta1/types/video_object_tracking.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1beta1/schema/predict/params_v1beta1/types/image_classification.py b/google/cloud/aiplatform/v1beta1/schema/predict/params_v1beta1/types/image_classification.py
index 127d3e2f98..5e91886944 100644
--- a/google/cloud/aiplatform/v1beta1/schema/predict/params_v1beta1/types/image_classification.py
+++ b/google/cloud/aiplatform/v1beta1/schema/predict/params_v1beta1/types/image_classification.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1beta1/schema/predict/params_v1beta1/types/image_object_detection.py b/google/cloud/aiplatform/v1beta1/schema/predict/params_v1beta1/types/image_object_detection.py
index 2698e0e33c..554b0024a4 100644
--- a/google/cloud/aiplatform/v1beta1/schema/predict/params_v1beta1/types/image_object_detection.py
+++ b/google/cloud/aiplatform/v1beta1/schema/predict/params_v1beta1/types/image_object_detection.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1beta1/schema/predict/params_v1beta1/types/image_segmentation.py b/google/cloud/aiplatform/v1beta1/schema/predict/params_v1beta1/types/image_segmentation.py
index 9dd3cfbc13..847c72e50f 100644
--- a/google/cloud/aiplatform/v1beta1/schema/predict/params_v1beta1/types/image_segmentation.py
+++ b/google/cloud/aiplatform/v1beta1/schema/predict/params_v1beta1/types/image_segmentation.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1beta1/schema/predict/params_v1beta1/types/video_action_recognition.py b/google/cloud/aiplatform/v1beta1/schema/predict/params_v1beta1/types/video_action_recognition.py
index de76e587b8..7fff2f4ee1 100644
--- a/google/cloud/aiplatform/v1beta1/schema/predict/params_v1beta1/types/video_action_recognition.py
+++ b/google/cloud/aiplatform/v1beta1/schema/predict/params_v1beta1/types/video_action_recognition.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1beta1/schema/predict/params_v1beta1/types/video_classification.py b/google/cloud/aiplatform/v1beta1/schema/predict/params_v1beta1/types/video_classification.py
index 2dcee6aee3..8e1a50137f 100644
--- a/google/cloud/aiplatform/v1beta1/schema/predict/params_v1beta1/types/video_classification.py
+++ b/google/cloud/aiplatform/v1beta1/schema/predict/params_v1beta1/types/video_classification.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1beta1/schema/predict/params_v1beta1/types/video_object_tracking.py b/google/cloud/aiplatform/v1beta1/schema/predict/params_v1beta1/types/video_object_tracking.py
index fef5cd3e45..71e663f37f 100644
--- a/google/cloud/aiplatform/v1beta1/schema/predict/params_v1beta1/types/video_object_tracking.py
+++ b/google/cloud/aiplatform/v1beta1/schema/predict/params_v1beta1/types/video_object_tracking.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/classification.py b/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/classification.py
index 03c3ff7a80..4cfccb8c08 100644
--- a/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/classification.py
+++ b/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/classification.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/image_object_detection.py b/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/image_object_detection.py
index 817b40baea..ca97b6f60a 100644
--- a/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/image_object_detection.py
+++ b/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/image_object_detection.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/image_segmentation.py b/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/image_segmentation.py
index b78ddece7e..0745195821 100644
--- a/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/image_segmentation.py
+++ b/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/image_segmentation.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/tabular_classification.py b/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/tabular_classification.py
index b7a888a25f..fd5277b776 100644
--- a/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/tabular_classification.py
+++ b/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/tabular_classification.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/tabular_regression.py b/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/tabular_regression.py
index 398220724d..2a76180f74 100644
--- a/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/tabular_regression.py
+++ b/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/tabular_regression.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/text_extraction.py b/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/text_extraction.py
index db9cdfe82f..70a6062dc4 100644
--- a/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/text_extraction.py
+++ b/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/text_extraction.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/text_sentiment.py b/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/text_sentiment.py
index 022a5478b2..9f0c9fc6a0 100644
--- a/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/text_sentiment.py
+++ b/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/text_sentiment.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/time_series_forecasting.py b/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/time_series_forecasting.py
index e97ef4d48f..6a398ee934 100644
--- a/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/time_series_forecasting.py
+++ b/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/time_series_forecasting.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/video_action_recognition.py b/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/video_action_recognition.py
index a1565d9ad8..7bb1891f9e 100644
--- a/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/video_action_recognition.py
+++ b/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/video_action_recognition.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/video_classification.py b/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/video_classification.py
index b0a7c2461a..73402db169 100644
--- a/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/video_classification.py
+++ b/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/video_classification.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/video_object_tracking.py b/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/video_object_tracking.py
index 2130a64273..1b974b83d6 100644
--- a/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/video_object_tracking.py
+++ b/google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/video_object_tracking.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_image_classification.py b/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_image_classification.py
index 04978fafdf..61ac2252d5 100644
--- a/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_image_classification.py
+++ b/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_image_classification.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_image_object_detection.py b/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_image_object_detection.py
index 519e092f8d..95842713f1 100644
--- a/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_image_object_detection.py
+++ b/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_image_object_detection.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_image_segmentation.py b/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_image_segmentation.py
index 024687ccf0..afe32194dc 100644
--- a/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_image_segmentation.py
+++ b/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_image_segmentation.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_tables.py b/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_tables.py
index 7b99d5e151..98c5fa96c1 100644
--- a/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_tables.py
+++ b/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_tables.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_text_classification.py b/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_text_classification.py
index 7ca43085b8..71683423db 100644
--- a/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_text_classification.py
+++ b/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_text_classification.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_text_extraction.py b/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_text_extraction.py
index 802a3ba2fe..d6649d9d90 100644
--- a/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_text_extraction.py
+++ b/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_text_extraction.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_text_sentiment.py b/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_text_sentiment.py
index fee13bab82..d42f8d3915 100644
--- a/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_text_sentiment.py
+++ b/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_text_sentiment.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_time_series_forecasting.py b/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_time_series_forecasting.py
index f14ce1d88d..5592b711bb 100644
--- a/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_time_series_forecasting.py
+++ b/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_time_series_forecasting.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_video_action_recognition.py b/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_video_action_recognition.py
index 823e26b353..03116e4d61 100644
--- a/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_video_action_recognition.py
+++ b/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_video_action_recognition.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_video_classification.py b/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_video_classification.py
index 79a77c924f..991938de7c 100644
--- a/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_video_classification.py
+++ b/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_video_classification.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_video_object_tracking.py b/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_video_object_tracking.py
index 1b1f9e1e5b..f0e666d8f7 100644
--- a/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_video_object_tracking.py
+++ b/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_video_object_tracking.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/export_evaluated_data_items_config.py b/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/export_evaluated_data_items_config.py
index 90f143c914..02c960c135 100644
--- a/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/export_evaluated_data_items_config.py
+++ b/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/export_evaluated_data_items_config.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform/version.py b/google/cloud/aiplatform/version.py
index 4124347bb8..a424d68e54 100644
--- a/google/cloud/aiplatform/version.py
+++ b/google/cloud/aiplatform/version.py
@@ -15,4 +15,4 @@
 # limitations under the License.
 #
 
-__version__ = "1.22.1"
+__version__ = "1.23.0"
diff --git a/google/cloud/aiplatform_v1/__init__.py b/google/cloud/aiplatform_v1/__init__.py
index 5df106428e..9ac01c979e 100644
--- a/google/cloud/aiplatform_v1/__init__.py
+++ b/google/cloud/aiplatform_v1/__init__.py
@@ -73,6 +73,7 @@
 from .types.data_labeling_job import TrainingConfig
 from .types.dataset import Dataset
 from .types.dataset import ExportDataConfig
+from .types.dataset import ExportFractionSplit
 from .types.dataset import ImportDataConfig
 from .types.dataset_service import CreateDatasetOperationMetadata
 from .types.dataset_service import CreateDatasetRequest
@@ -119,6 +120,9 @@
 from .types.endpoint_service import UpdateEndpointRequest
 from .types.entity_type import EntityType
 from .types.env_var import EnvVar
+from .types.evaluated_annotation import ErrorAnalysisAnnotation
+from .types.evaluated_annotation import EvaluatedAnnotation
+from .types.evaluated_annotation import EvaluatedAnnotationExplanation
 from .types.event import Event
 from .types.execution import Execution
 from .types.explanation import Attribution
@@ -167,7 +171,11 @@
 from .types.featurestore_service import DeleteEntityTypeRequest
 from .types.featurestore_service import DeleteFeatureRequest
 from .types.featurestore_service import DeleteFeaturestoreRequest
+from .types.featurestore_service import DeleteFeatureValuesOperationMetadata
+from .types.featurestore_service import DeleteFeatureValuesRequest
+from .types.featurestore_service import DeleteFeatureValuesResponse
 from .types.featurestore_service import DestinationFeatureSetting
+from .types.featurestore_service import EntityIdSelector
 from .types.featurestore_service import ExportFeatureValuesOperationMetadata
 from .types.featurestore_service import ExportFeatureValuesRequest
 from .types.featurestore_service import ExportFeatureValuesResponse
@@ -375,6 +383,8 @@
 from .types.model_monitoring import ModelMonitoringObjectiveConfig
 from .types.model_monitoring import SamplingStrategy
 from .types.model_monitoring import ThresholdConfig
+from .types.model_service import BatchImportEvaluatedAnnotationsRequest
+from .types.model_service import BatchImportEvaluatedAnnotationsResponse
 from .types.model_service import BatchImportModelEvaluationSlicesRequest
 from .types.model_service import BatchImportModelEvaluationSlicesResponse
 from .types.model_service import CopyModelOperationMetadata
@@ -579,6 +589,8 @@
     "BatchCreateTensorboardTimeSeriesRequest",
     "BatchCreateTensorboardTimeSeriesResponse",
     "BatchDedicatedResources",
+    "BatchImportEvaluatedAnnotationsRequest",
+    "BatchImportEvaluatedAnnotationsResponse",
     "BatchImportModelEvaluationSlicesRequest",
     "BatchImportModelEvaluationSlicesResponse",
     "BatchMigrateResourcesOperationMetadata",
@@ -669,6 +681,9 @@
     "DeleteEntityTypeRequest",
     "DeleteExecutionRequest",
     "DeleteFeatureRequest",
+    "DeleteFeatureValuesOperationMetadata",
+    "DeleteFeatureValuesRequest",
+    "DeleteFeatureValuesResponse",
     "DeleteFeaturestoreRequest",
     "DeleteHyperparameterTuningJobRequest",
     "DeleteIndexEndpointRequest",
@@ -706,8 +721,12 @@
     "EncryptionSpec",
     "Endpoint",
     "EndpointServiceClient",
+    "EntityIdSelector",
     "EntityType",
     "EnvVar",
+    "ErrorAnalysisAnnotation",
+    "EvaluatedAnnotation",
+    "EvaluatedAnnotationExplanation",
     "Event",
     "ExamplesOverride",
     "ExamplesRestrictionsNamespace",
@@ -727,6 +746,7 @@
     "ExportFeatureValuesOperationMetadata",
     "ExportFeatureValuesRequest",
     "ExportFeatureValuesResponse",
+    "ExportFractionSplit",
     "ExportModelOperationMetadata",
     "ExportModelRequest",
     "ExportModelResponse",
diff --git a/google/cloud/aiplatform_v1/gapic_metadata.json b/google/cloud/aiplatform_v1/gapic_metadata.json
index 553e3e9553..3f995cf513 100644
--- a/google/cloud/aiplatform_v1/gapic_metadata.json
+++ b/google/cloud/aiplatform_v1/gapic_metadata.json
@@ -307,6 +307,11 @@
                 "delete_feature"
               ]
             },
+            "DeleteFeatureValues": {
+              "methods": [
+                "delete_feature_values"
+              ]
+            },
             "DeleteFeaturestore": {
               "methods": [
                 "delete_featurestore"
@@ -412,6 +417,11 @@
                 "delete_feature"
               ]
             },
+            "DeleteFeatureValues": {
+              "methods": [
+                "delete_feature_values"
+              ]
+            },
             "DeleteFeaturestore": {
               "methods": [
                 "delete_featurestore"
@@ -1396,6 +1406,11 @@
         "grpc": {
           "libraryClient": "ModelServiceClient",
           "rpcs": {
+            "BatchImportEvaluatedAnnotations": {
+              "methods": [
+                "batch_import_evaluated_annotations"
+              ]
+            },
             "BatchImportModelEvaluationSlices": {
               "methods": [
                 "batch_import_model_evaluation_slices"
@@ -1481,6 +1496,11 @@
         "grpc-async": {
           "libraryClient": "ModelServiceAsyncClient",
           "rpcs": {
+            "BatchImportEvaluatedAnnotations": {
+              "methods": [
+                "batch_import_evaluated_annotations"
+              ]
+            },
             "BatchImportModelEvaluationSlices": {
               "methods": [
                 "batch_import_model_evaluation_slices"
diff --git a/google/cloud/aiplatform_v1/services/featurestore_service/async_client.py b/google/cloud/aiplatform_v1/services/featurestore_service/async_client.py
index af331a1a41..2a816c9392 100644
--- a/google/cloud/aiplatform_v1/services/featurestore_service/async_client.py
+++ b/google/cloud/aiplatform_v1/services/featurestore_service/async_client.py
@@ -2750,6 +2750,142 @@ async def sample_export_feature_values():
         # Done; return the response.
         return response
 
+    async def delete_feature_values(
+        self,
+        request: Optional[
+            Union[featurestore_service.DeleteFeatureValuesRequest, dict]
+        ] = None,
+        *,
+        entity_type: Optional[str] = None,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> operation_async.AsyncOperation:
+        r"""Delete Feature values from Featurestore.
+        The progress of the deletion is tracked by the returned
+        operation. The deleted feature values are guaranteed to
+        be invisible to subsequent read operations after the
+        operation is marked as successfully done.
+        If a delete feature values operation fails, the feature
+        values returned from reads and exports may be
+        inconsistent. If consistency is required, the caller
+        must retry the same delete request again and wait till
+        the new operation returned is marked as successfully
+        done.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import aiplatform_v1
+
+            async def sample_delete_feature_values():
+                # Create a client
+                client = aiplatform_v1.FeaturestoreServiceAsyncClient()
+
+                # Initialize request argument(s)
+                select_entity = aiplatform_v1.SelectEntity()
+                select_entity.entity_id_selector.csv_source.gcs_source.uris = ['uris_value1', 'uris_value2']
+
+                request = aiplatform_v1.DeleteFeatureValuesRequest(
+                    select_entity=select_entity,
+                    entity_type="entity_type_value",
+                )
+
+                # Make the request
+                operation = client.delete_feature_values(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = (await operation).result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.aiplatform_v1.types.DeleteFeatureValuesRequest, dict]]):
+                The request object. Request message for
+                [FeaturestoreService.DeleteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeatureValues].
+            entity_type (:class:`str`):
+                Required. The resource name of the EntityType grouping
+                the Features for which values are being deleted from.
+                Format:
+                ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}``
+
+                This corresponds to the ``entity_type`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation_async.AsyncOperation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.DeleteFeatureValuesResponse` Response message for
+                   [FeaturestoreService.DeleteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeatureValues].
+
+        """
+        # Create or coerce a protobuf request object.
+        # Quick check: If we got a request object, we should *not* have
+        # gotten any keyword arguments that map to the request.
+        has_flattened_params = any([entity_type])
+        if request is not None and has_flattened_params:
+            raise ValueError(
+                "If the `request` argument is set, then none of "
+                "the individual field arguments should be set."
+            )
+
+        request = featurestore_service.DeleteFeatureValuesRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if entity_type is not None:
+            request.entity_type = entity_type
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = gapic_v1.method_async.wrap_method(
+            self._client._transport.delete_feature_values,
+            default_timeout=None,
+            client_info=DEFAULT_CLIENT_INFO,
+        )
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("entity_type", request.entity_type),)
+            ),
+        )
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = operation_async.from_gapic(
+            response,
+            self._client._transport.operations_client,
+            featurestore_service.DeleteFeatureValuesResponse,
+            metadata_type=featurestore_service.DeleteFeatureValuesOperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
     async def search_features(
         self,
         request: Optional[
diff --git a/google/cloud/aiplatform_v1/services/featurestore_service/client.py b/google/cloud/aiplatform_v1/services/featurestore_service/client.py
index b8bec36141..373c36a9b2 100644
--- a/google/cloud/aiplatform_v1/services/featurestore_service/client.py
+++ b/google/cloud/aiplatform_v1/services/featurestore_service/client.py
@@ -3020,6 +3020,142 @@ def sample_export_feature_values():
         # Done; return the response.
         return response
 
+    def delete_feature_values(
+        self,
+        request: Optional[
+            Union[featurestore_service.DeleteFeatureValuesRequest, dict]
+        ] = None,
+        *,
+        entity_type: Optional[str] = None,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> gac_operation.Operation:
+        r"""Delete Feature values from Featurestore.
+        The progress of the deletion is tracked by the returned
+        operation. The deleted feature values are guaranteed to
+        be invisible to subsequent read operations after the
+        operation is marked as successfully done.
+        If a delete feature values operation fails, the feature
+        values returned from reads and exports may be
+        inconsistent. If consistency is required, the caller
+        must retry the same delete request again and wait till
+        the new operation returned is marked as successfully
+        done.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import aiplatform_v1
+
+            def sample_delete_feature_values():
+                # Create a client
+                client = aiplatform_v1.FeaturestoreServiceClient()
+
+                # Initialize request argument(s)
+                select_entity = aiplatform_v1.SelectEntity()
+                select_entity.entity_id_selector.csv_source.gcs_source.uris = ['uris_value1', 'uris_value2']
+
+                request = aiplatform_v1.DeleteFeatureValuesRequest(
+                    select_entity=select_entity,
+                    entity_type="entity_type_value",
+                )
+
+                # Make the request
+                operation = client.delete_feature_values(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = operation.result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.aiplatform_v1.types.DeleteFeatureValuesRequest, dict]):
+                The request object. Request message for
+                [FeaturestoreService.DeleteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeatureValues].
+            entity_type (str):
+                Required. The resource name of the EntityType grouping
+                the Features for which values are being deleted from.
+                Format:
+                ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}``
+
+                This corresponds to the ``entity_type`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.api_core.operation.Operation:
+                An object representing a long-running operation.
+
+                The result type for the operation will be :class:`google.cloud.aiplatform_v1.types.DeleteFeatureValuesResponse` Response message for
+                   [FeaturestoreService.DeleteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeatureValues].
+
+        """
+        # Create or coerce a protobuf request object.
+        # Quick check: If we got a request object, we should *not* have
+        # gotten any keyword arguments that map to the request.
+        has_flattened_params = any([entity_type])
+        if request is not None and has_flattened_params:
+            raise ValueError(
+                "If the `request` argument is set, then none of "
+                "the individual field arguments should be set."
+            )
+
+        # Minor optimization to avoid making a copy if the user passes
+        # in a featurestore_service.DeleteFeatureValuesRequest.
+        # There's no risk of modifying the input as we've already verified
+        # there are no flattened fields.
+        if not isinstance(request, featurestore_service.DeleteFeatureValuesRequest):
+            request = featurestore_service.DeleteFeatureValuesRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if entity_type is not None:
+                request.entity_type = entity_type
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.delete_feature_values]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("entity_type", request.entity_type),)
+            ),
+        )
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Wrap the response in an operation future.
+        response = gac_operation.from_gapic(
+            response,
+            self._transport.operations_client,
+            featurestore_service.DeleteFeatureValuesResponse,
+            metadata_type=featurestore_service.DeleteFeatureValuesOperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
     def search_features(
         self,
         request: Optional[
diff --git a/google/cloud/aiplatform_v1/services/featurestore_service/transports/base.py b/google/cloud/aiplatform_v1/services/featurestore_service/transports/base.py
index dc2e225d47..b7338a5150 100644
--- a/google/cloud/aiplatform_v1/services/featurestore_service/transports/base.py
+++ b/google/cloud/aiplatform_v1/services/featurestore_service/transports/base.py
@@ -229,6 +229,11 @@ def _prep_wrapped_messages(self, client_info):
                 default_timeout=None,
                 client_info=client_info,
             ),
+            self.delete_feature_values: gapic_v1.method.wrap_method(
+                self.delete_feature_values,
+                default_timeout=None,
+                client_info=client_info,
+            ),
             self.search_features: gapic_v1.method.wrap_method(
                 self.search_features,
                 default_timeout=None,
@@ -430,6 +435,15 @@ def export_feature_values(
     ]:
         raise NotImplementedError()
 
+    @property
+    def delete_feature_values(
+        self,
+    ) -> Callable[
+        [featurestore_service.DeleteFeatureValuesRequest],
+        Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
+    ]:
+        raise NotImplementedError()
+
     @property
     def search_features(
         self,
diff --git a/google/cloud/aiplatform_v1/services/featurestore_service/transports/grpc.py b/google/cloud/aiplatform_v1/services/featurestore_service/transports/grpc.py
index 0467c55426..b33cf3627a 100644
--- a/google/cloud/aiplatform_v1/services/featurestore_service/transports/grpc.py
+++ b/google/cloud/aiplatform_v1/services/featurestore_service/transports/grpc.py
@@ -816,6 +816,44 @@ def export_feature_values(
             )
         return self._stubs["export_feature_values"]
 
+    @property
+    def delete_feature_values(
+        self,
+    ) -> Callable[
+        [featurestore_service.DeleteFeatureValuesRequest], operations_pb2.Operation
+    ]:
+        r"""Return a callable for the delete feature values method over gRPC.
+
+        Delete Feature values from Featurestore.
+        The progress of the deletion is tracked by the returned
+        operation. The deleted feature values are guaranteed to
+        be invisible to subsequent read operations after the
+        operation is marked as successfully done.
+        If a delete feature values operation fails, the feature
+        values returned from reads and exports may be
+        inconsistent. If consistency is required, the caller
+        must retry the same delete request again and wait till
+        the new operation returned is marked as successfully
+        done.
+
+        Returns:
+            Callable[[~.DeleteFeatureValuesRequest],
+                    ~.Operation]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "delete_feature_values" not in self._stubs:
+            self._stubs["delete_feature_values"] = self.grpc_channel.unary_unary(
+                "/google.cloud.aiplatform.v1.FeaturestoreService/DeleteFeatureValues",
+                request_serializer=featurestore_service.DeleteFeatureValuesRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs["delete_feature_values"]
+
     @property
     def search_features(
         self,
diff --git a/google/cloud/aiplatform_v1/services/featurestore_service/transports/grpc_asyncio.py b/google/cloud/aiplatform_v1/services/featurestore_service/transports/grpc_asyncio.py
index 971db16daf..9119a41568 100644
--- a/google/cloud/aiplatform_v1/services/featurestore_service/transports/grpc_asyncio.py
+++ b/google/cloud/aiplatform_v1/services/featurestore_service/transports/grpc_asyncio.py
@@ -836,6 +836,45 @@ def export_feature_values(
             )
         return self._stubs["export_feature_values"]
 
+    @property
+    def delete_feature_values(
+        self,
+    ) -> Callable[
+        [featurestore_service.DeleteFeatureValuesRequest],
+        Awaitable[operations_pb2.Operation],
+    ]:
+        r"""Return a callable for the delete feature values method over gRPC.
+
+        Delete Feature values from Featurestore.
+        The progress of the deletion is tracked by the returned
+        operation. The deleted feature values are guaranteed to
+        be invisible to subsequent read operations after the
+        operation is marked as successfully done.
+        If a delete feature values operation fails, the feature
+        values returned from reads and exports may be
+        inconsistent. If consistency is required, the caller
+        must retry the same delete request again and wait till
+        the new operation returned is marked as successfully
+        done.
+
+        Returns:
+            Callable[[~.DeleteFeatureValuesRequest],
+                    Awaitable[~.Operation]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "delete_feature_values" not in self._stubs:
+            self._stubs["delete_feature_values"] = self.grpc_channel.unary_unary(
+                "/google.cloud.aiplatform.v1.FeaturestoreService/DeleteFeatureValues",
+                request_serializer=featurestore_service.DeleteFeatureValuesRequest.serialize,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs["delete_feature_values"]
+
     @property
     def search_features(
         self,
diff --git a/google/cloud/aiplatform_v1/services/model_service/async_client.py b/google/cloud/aiplatform_v1/services/model_service/async_client.py
index 75ef1f62b7..11c1959539 100644
--- a/google/cloud/aiplatform_v1/services/model_service/async_client.py
+++ b/google/cloud/aiplatform_v1/services/model_service/async_client.py
@@ -47,6 +47,7 @@
 from google.cloud.aiplatform_v1.services.model_service import pagers
 from google.cloud.aiplatform_v1.types import deployed_model_ref
 from google.cloud.aiplatform_v1.types import encryption_spec
+from google.cloud.aiplatform_v1.types import evaluated_annotation
 from google.cloud.aiplatform_v1.types import explanation
 from google.cloud.aiplatform_v1.types import model
 from google.cloud.aiplatform_v1.types import model as gca_model
@@ -997,8 +998,9 @@ async def delete_model_version(
         r"""Deletes a Model version.
 
         Model version can only be deleted if there are no
-        [DeployedModels][] created from it. Deleting the only version in
-        the Model is not allowed. Use
+        [DeployedModels][google.cloud.aiplatform.v1.DeployedModel]
+        created from it. Deleting the only version in the Model is not
+        allowed. Use
         [DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel]
         for deleting the Model instead.
 
@@ -1749,6 +1751,124 @@ async def sample_batch_import_model_evaluation_slices():
         # Done; return the response.
         return response
 
+    async def batch_import_evaluated_annotations(
+        self,
+        request: Optional[
+            Union[model_service.BatchImportEvaluatedAnnotationsRequest, dict]
+        ] = None,
+        *,
+        parent: Optional[str] = None,
+        evaluated_annotations: Optional[
+            MutableSequence[evaluated_annotation.EvaluatedAnnotation]
+        ] = None,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> model_service.BatchImportEvaluatedAnnotationsResponse:
+        r"""Imports a list of externally generated
+        EvaluatedAnnotations.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import aiplatform_v1
+
+            async def sample_batch_import_evaluated_annotations():
+                # Create a client
+                client = aiplatform_v1.ModelServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = aiplatform_v1.BatchImportEvaluatedAnnotationsRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                response = await client.batch_import_evaluated_annotations(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.aiplatform_v1.types.BatchImportEvaluatedAnnotationsRequest, dict]]):
+                The request object. Request message for
+                [ModelService.BatchImportEvaluatedAnnotations][google.cloud.aiplatform.v1.ModelService.BatchImportEvaluatedAnnotations]
+            parent (:class:`str`):
+                Required. The name of the parent ModelEvaluationSlice
+                resource. Format:
+                ``projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}``
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            evaluated_annotations (:class:`MutableSequence[google.cloud.aiplatform_v1.types.EvaluatedAnnotation]`):
+                Required. Evaluated annotations
+                resource to be imported.
+
+                This corresponds to the ``evaluated_annotations`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.aiplatform_v1.types.BatchImportEvaluatedAnnotationsResponse:
+                Response message for
+                   [ModelService.BatchImportEvaluatedAnnotations][google.cloud.aiplatform.v1.ModelService.BatchImportEvaluatedAnnotations]
+
+        """
+        # Create or coerce a protobuf request object.
+        # Quick check: If we got a request object, we should *not* have
+        # gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent, evaluated_annotations])
+        if request is not None and has_flattened_params:
+            raise ValueError(
+                "If the `request` argument is set, then none of "
+                "the individual field arguments should be set."
+            )
+
+        request = model_service.BatchImportEvaluatedAnnotationsRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+        if evaluated_annotations:
+            request.evaluated_annotations.extend(evaluated_annotations)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = gapic_v1.method_async.wrap_method(
+            self._client._transport.batch_import_evaluated_annotations,
+            default_timeout=None,
+            client_info=DEFAULT_CLIENT_INFO,
+        )
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
+        )
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
     async def get_model_evaluation(
         self,
         request: Optional[Union[model_service.GetModelEvaluationRequest, dict]] = None,
diff --git a/google/cloud/aiplatform_v1/services/model_service/client.py b/google/cloud/aiplatform_v1/services/model_service/client.py
index 86e18c4962..3bffbb9c9b 100644
--- a/google/cloud/aiplatform_v1/services/model_service/client.py
+++ b/google/cloud/aiplatform_v1/services/model_service/client.py
@@ -51,6 +51,7 @@
 from google.cloud.aiplatform_v1.services.model_service import pagers
 from google.cloud.aiplatform_v1.types import deployed_model_ref
 from google.cloud.aiplatform_v1.types import encryption_spec
+from google.cloud.aiplatform_v1.types import evaluated_annotation
 from google.cloud.aiplatform_v1.types import explanation
 from google.cloud.aiplatform_v1.types import model
 from google.cloud.aiplatform_v1.types import model as gca_model
@@ -1304,8 +1305,9 @@ def delete_model_version(
         r"""Deletes a Model version.
 
         Model version can only be deleted if there are no
-        [DeployedModels][] created from it. Deleting the only version in
-        the Model is not allowed. Use
+        [DeployedModels][google.cloud.aiplatform.v1.DeployedModel]
+        created from it. Deleting the only version in the Model is not
+        allowed. Use
         [DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel]
         for deleting the Model instead.
 
@@ -2060,6 +2062,128 @@ def sample_batch_import_model_evaluation_slices():
         # Done; return the response.
         return response
 
+    def batch_import_evaluated_annotations(
+        self,
+        request: Optional[
+            Union[model_service.BatchImportEvaluatedAnnotationsRequest, dict]
+        ] = None,
+        *,
+        parent: Optional[str] = None,
+        evaluated_annotations: Optional[
+            MutableSequence[evaluated_annotation.EvaluatedAnnotation]
+        ] = None,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> model_service.BatchImportEvaluatedAnnotationsResponse:
+        r"""Imports a list of externally generated
+        EvaluatedAnnotations.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import aiplatform_v1
+
+            def sample_batch_import_evaluated_annotations():
+                # Create a client
+                client = aiplatform_v1.ModelServiceClient()
+
+                # Initialize request argument(s)
+                request = aiplatform_v1.BatchImportEvaluatedAnnotationsRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                response = client.batch_import_evaluated_annotations(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.aiplatform_v1.types.BatchImportEvaluatedAnnotationsRequest, dict]):
+                The request object. Request message for
+                [ModelService.BatchImportEvaluatedAnnotations][google.cloud.aiplatform.v1.ModelService.BatchImportEvaluatedAnnotations]
+            parent (str):
+                Required. The name of the parent ModelEvaluationSlice
+                resource. Format:
+                ``projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}``
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            evaluated_annotations (MutableSequence[google.cloud.aiplatform_v1.types.EvaluatedAnnotation]):
+                Required. Evaluated annotations
+                resource to be imported.
+
+                This corresponds to the ``evaluated_annotations`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.aiplatform_v1.types.BatchImportEvaluatedAnnotationsResponse:
+                Response message for
+                   [ModelService.BatchImportEvaluatedAnnotations][google.cloud.aiplatform.v1.ModelService.BatchImportEvaluatedAnnotations]
+
+        """
+        # Create or coerce a protobuf request object.
+        # Quick check: If we got a request object, we should *not* have
+        # gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent, evaluated_annotations])
+        if request is not None and has_flattened_params:
+            raise ValueError(
+                "If the `request` argument is set, then none of "
+                "the individual field arguments should be set."
+            )
+
+        # Minor optimization to avoid making a copy if the user passes
+        # in a model_service.BatchImportEvaluatedAnnotationsRequest.
+        # There's no risk of modifying the input as we've already verified
+        # there are no flattened fields.
+        if not isinstance(
+            request, model_service.BatchImportEvaluatedAnnotationsRequest
+        ):
+            request = model_service.BatchImportEvaluatedAnnotationsRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+            if evaluated_annotations is not None:
+                request.evaluated_annotations = evaluated_annotations
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[
+            self._transport.batch_import_evaluated_annotations
+        ]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
+        )
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
     def get_model_evaluation(
         self,
         request: Optional[Union[model_service.GetModelEvaluationRequest, dict]] = None,
diff --git a/google/cloud/aiplatform_v1/services/model_service/transports/base.py b/google/cloud/aiplatform_v1/services/model_service/transports/base.py
index 0e3819fafb..5271839a10 100644
--- a/google/cloud/aiplatform_v1/services/model_service/transports/base.py
+++ b/google/cloud/aiplatform_v1/services/model_service/transports/base.py
@@ -194,6 +194,11 @@ def _prep_wrapped_messages(self, client_info):
                 default_timeout=None,
                 client_info=client_info,
             ),
+            self.batch_import_evaluated_annotations: gapic_v1.method.wrap_method(
+                self.batch_import_evaluated_annotations,
+                default_timeout=None,
+                client_info=client_info,
+            ),
             self.get_model_evaluation: gapic_v1.method.wrap_method(
                 self.get_model_evaluation,
                 default_timeout=None,
@@ -349,6 +354,18 @@ def batch_import_model_evaluation_slices(
     ]:
         raise NotImplementedError()
 
+    @property
+    def batch_import_evaluated_annotations(
+        self,
+    ) -> Callable[
+        [model_service.BatchImportEvaluatedAnnotationsRequest],
+        Union[
+            model_service.BatchImportEvaluatedAnnotationsResponse,
+            Awaitable[model_service.BatchImportEvaluatedAnnotationsResponse],
+        ],
+    ]:
+        raise NotImplementedError()
+
     @property
     def get_model_evaluation(
         self,
diff --git a/google/cloud/aiplatform_v1/services/model_service/transports/grpc.py b/google/cloud/aiplatform_v1/services/model_service/transports/grpc.py
index ad254c8e5a..fb3a90e1d5 100644
--- a/google/cloud/aiplatform_v1/services/model_service/transports/grpc.py
+++ b/google/cloud/aiplatform_v1/services/model_service/transports/grpc.py
@@ -428,8 +428,9 @@ def delete_model_version(
         Deletes a Model version.
 
         Model version can only be deleted if there are no
-        [DeployedModels][] created from it. Deleting the only version in
-        the Model is not allowed. Use
+        [DeployedModels][google.cloud.aiplatform.v1.DeployedModel]
+        created from it. Deleting the only version in the Model is not
+        allowed. Use
         [DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel]
         for deleting the Model instead.
 
@@ -599,6 +600,39 @@ def batch_import_model_evaluation_slices(
             )
         return self._stubs["batch_import_model_evaluation_slices"]
 
+    @property
+    def batch_import_evaluated_annotations(
+        self,
+    ) -> Callable[
+        [model_service.BatchImportEvaluatedAnnotationsRequest],
+        model_service.BatchImportEvaluatedAnnotationsResponse,
+    ]:
+        r"""Return a callable for the batch import evaluated
+        annotations method over gRPC.
+
+        Imports a list of externally generated
+        EvaluatedAnnotations.
+
+        Returns:
+            Callable[[~.BatchImportEvaluatedAnnotationsRequest],
+                    ~.BatchImportEvaluatedAnnotationsResponse]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "batch_import_evaluated_annotations" not in self._stubs:
+            self._stubs[
+                "batch_import_evaluated_annotations"
+            ] = self.grpc_channel.unary_unary(
+                "/google.cloud.aiplatform.v1.ModelService/BatchImportEvaluatedAnnotations",
+                request_serializer=model_service.BatchImportEvaluatedAnnotationsRequest.serialize,
+                response_deserializer=model_service.BatchImportEvaluatedAnnotationsResponse.deserialize,
+            )
+        return self._stubs["batch_import_evaluated_annotations"]
+
     @property
     def get_model_evaluation(
         self,
diff --git a/google/cloud/aiplatform_v1/services/model_service/transports/grpc_asyncio.py b/google/cloud/aiplatform_v1/services/model_service/transports/grpc_asyncio.py
index 90dcbf837e..97e31df113 100644
--- a/google/cloud/aiplatform_v1/services/model_service/transports/grpc_asyncio.py
+++ b/google/cloud/aiplatform_v1/services/model_service/transports/grpc_asyncio.py
@@ -443,8 +443,9 @@ def delete_model_version(
         Deletes a Model version.
 
         Model version can only be deleted if there are no
-        [DeployedModels][] created from it. Deleting the only version in
-        the Model is not allowed. Use
+        [DeployedModels][google.cloud.aiplatform.v1.DeployedModel]
+        created from it. Deleting the only version in the Model is not
+        allowed. Use
         [DeleteModel][google.cloud.aiplatform.v1.ModelService.DeleteModel]
         for deleting the Model instead.
 
@@ -618,6 +619,39 @@ def batch_import_model_evaluation_slices(
             )
         return self._stubs["batch_import_model_evaluation_slices"]
 
+    @property
+    def batch_import_evaluated_annotations(
+        self,
+    ) -> Callable[
+        [model_service.BatchImportEvaluatedAnnotationsRequest],
+        Awaitable[model_service.BatchImportEvaluatedAnnotationsResponse],
+    ]:
+        r"""Return a callable for the batch import evaluated
+        annotations method over gRPC.
+
+        Imports a list of externally generated
+        EvaluatedAnnotations.
+
+        Returns:
+            Callable[[~.BatchImportEvaluatedAnnotationsRequest],
+                    Awaitable[~.BatchImportEvaluatedAnnotationsResponse]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "batch_import_evaluated_annotations" not in self._stubs:
+            self._stubs[
+                "batch_import_evaluated_annotations"
+            ] = self.grpc_channel.unary_unary(
+                "/google.cloud.aiplatform.v1.ModelService/BatchImportEvaluatedAnnotations",
+                request_serializer=model_service.BatchImportEvaluatedAnnotationsRequest.serialize,
+                response_deserializer=model_service.BatchImportEvaluatedAnnotationsResponse.deserialize,
+            )
+        return self._stubs["batch_import_evaluated_annotations"]
+
     @property
     def get_model_evaluation(
         self,
diff --git a/google/cloud/aiplatform_v1/services/tensorboard_service/async_client.py b/google/cloud/aiplatform_v1/services/tensorboard_service/async_client.py
index 8ca88bccfb..4486a7e69a 100644
--- a/google/cloud/aiplatform_v1/services/tensorboard_service/async_client.py
+++ b/google/cloud/aiplatform_v1/services/tensorboard_service/async_client.py
@@ -559,7 +559,7 @@ async def sample_read_tensorboard_usage():
         Returns:
             google.cloud.aiplatform_v1.types.ReadTensorboardUsageResponse:
                 Response message for
-                [TensorboardService.GetTensorboardUsage][].
+                   [TensorboardService.ReadTensorboardUsage][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardUsage].
 
         """
         # Create or coerce a protobuf request object.
diff --git a/google/cloud/aiplatform_v1/services/tensorboard_service/client.py b/google/cloud/aiplatform_v1/services/tensorboard_service/client.py
index 678921dee7..31e7c55fe4 100644
--- a/google/cloud/aiplatform_v1/services/tensorboard_service/client.py
+++ b/google/cloud/aiplatform_v1/services/tensorboard_service/client.py
@@ -846,7 +846,7 @@ def sample_read_tensorboard_usage():
         Returns:
             google.cloud.aiplatform_v1.types.ReadTensorboardUsageResponse:
                 Response message for
-                [TensorboardService.GetTensorboardUsage][].
+                   [TensorboardService.ReadTensorboardUsage][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardUsage].
 
         """
         # Create or coerce a protobuf request object.
diff --git a/google/cloud/aiplatform_v1/services/vizier_service/async_client.py b/google/cloud/aiplatform_v1/services/vizier_service/async_client.py
index a15b3bd4d7..8eb07b8643 100644
--- a/google/cloud/aiplatform_v1/services/vizier_service/async_client.py
+++ b/google/cloud/aiplatform_v1/services/vizier_service/async_client.py
@@ -1472,7 +1472,7 @@ async def check_trial_early_stopping_state(
         r"""Checks whether a Trial should stop or not. Returns a
         long-running operation. When the operation is successful, it
         will contain a
-        [CheckTrialEarlyStoppingStateResponse][google.cloud.ml.v1.CheckTrialEarlyStoppingStateResponse].
+        [CheckTrialEarlyStoppingStateResponse][google.cloud.aiplatform.v1.CheckTrialEarlyStoppingStateResponse].
 
         .. code-block:: python
 
diff --git a/google/cloud/aiplatform_v1/services/vizier_service/client.py b/google/cloud/aiplatform_v1/services/vizier_service/client.py
index aa8e224be4..8929cb1258 100644
--- a/google/cloud/aiplatform_v1/services/vizier_service/client.py
+++ b/google/cloud/aiplatform_v1/services/vizier_service/client.py
@@ -1742,7 +1742,7 @@ def check_trial_early_stopping_state(
         r"""Checks whether a Trial should stop or not. Returns a
         long-running operation. When the operation is successful, it
         will contain a
-        [CheckTrialEarlyStoppingStateResponse][google.cloud.ml.v1.CheckTrialEarlyStoppingStateResponse].
+        [CheckTrialEarlyStoppingStateResponse][google.cloud.aiplatform.v1.CheckTrialEarlyStoppingStateResponse].
 
         .. code-block:: python
 
diff --git a/google/cloud/aiplatform_v1/services/vizier_service/transports/grpc.py b/google/cloud/aiplatform_v1/services/vizier_service/transports/grpc.py
index d9db24df5a..90868deeaf 100644
--- a/google/cloud/aiplatform_v1/services/vizier_service/transports/grpc.py
+++ b/google/cloud/aiplatform_v1/services/vizier_service/transports/grpc.py
@@ -589,7 +589,7 @@ def check_trial_early_stopping_state(
         Checks whether a Trial should stop or not. Returns a
         long-running operation. When the operation is successful, it
         will contain a
-        [CheckTrialEarlyStoppingStateResponse][google.cloud.ml.v1.CheckTrialEarlyStoppingStateResponse].
+        [CheckTrialEarlyStoppingStateResponse][google.cloud.aiplatform.v1.CheckTrialEarlyStoppingStateResponse].
 
         Returns:
             Callable[[~.CheckTrialEarlyStoppingStateRequest],
diff --git a/google/cloud/aiplatform_v1/services/vizier_service/transports/grpc_asyncio.py b/google/cloud/aiplatform_v1/services/vizier_service/transports/grpc_asyncio.py
index b39f59baac..acb4c0a707 100644
--- a/google/cloud/aiplatform_v1/services/vizier_service/transports/grpc_asyncio.py
+++ b/google/cloud/aiplatform_v1/services/vizier_service/transports/grpc_asyncio.py
@@ -602,7 +602,7 @@ def check_trial_early_stopping_state(
         Checks whether a Trial should stop or not. Returns a
         long-running operation. When the operation is successful, it
         will contain a
-        [CheckTrialEarlyStoppingStateResponse][google.cloud.ml.v1.CheckTrialEarlyStoppingStateResponse].
+        [CheckTrialEarlyStoppingStateResponse][google.cloud.aiplatform.v1.CheckTrialEarlyStoppingStateResponse].
 
         Returns:
             Callable[[~.CheckTrialEarlyStoppingStateRequest],
diff --git a/google/cloud/aiplatform_v1/types/__init__.py b/google/cloud/aiplatform_v1/types/__init__.py
index 4ba5e6c516..ad54a6e047 100644
--- a/google/cloud/aiplatform_v1/types/__init__.py
+++ b/google/cloud/aiplatform_v1/types/__init__.py
@@ -51,6 +51,7 @@
 from .dataset import (
     Dataset,
     ExportDataConfig,
+    ExportFractionSplit,
     ImportDataConfig,
 )
 from .dataset_service import (
@@ -114,6 +115,11 @@
 from .env_var import (
     EnvVar,
 )
+from .evaluated_annotation import (
+    ErrorAnalysisAnnotation,
+    EvaluatedAnnotation,
+    EvaluatedAnnotationExplanation,
+)
 from .event import (
     Event,
 )
@@ -183,7 +189,11 @@
     DeleteEntityTypeRequest,
     DeleteFeatureRequest,
     DeleteFeaturestoreRequest,
+    DeleteFeatureValuesOperationMetadata,
+    DeleteFeatureValuesRequest,
+    DeleteFeatureValuesResponse,
     DestinationFeatureSetting,
+    EntityIdSelector,
     ExportFeatureValuesOperationMetadata,
     ExportFeatureValuesRequest,
     ExportFeatureValuesResponse,
@@ -424,6 +434,8 @@
     ThresholdConfig,
 )
 from .model_service import (
+    BatchImportEvaluatedAnnotationsRequest,
+    BatchImportEvaluatedAnnotationsResponse,
     BatchImportModelEvaluationSlicesRequest,
     BatchImportModelEvaluationSlicesResponse,
     CopyModelOperationMetadata,
@@ -652,6 +664,7 @@
     "TrainingConfig",
     "Dataset",
     "ExportDataConfig",
+    "ExportFractionSplit",
     "ImportDataConfig",
     "CreateDatasetOperationMetadata",
     "CreateDatasetRequest",
@@ -698,6 +711,9 @@
     "UpdateEndpointRequest",
     "EntityType",
     "EnvVar",
+    "ErrorAnalysisAnnotation",
+    "EvaluatedAnnotation",
+    "EvaluatedAnnotationExplanation",
     "Event",
     "Execution",
     "Attribution",
@@ -746,7 +762,11 @@
     "DeleteEntityTypeRequest",
     "DeleteFeatureRequest",
     "DeleteFeaturestoreRequest",
+    "DeleteFeatureValuesOperationMetadata",
+    "DeleteFeatureValuesRequest",
+    "DeleteFeatureValuesResponse",
     "DestinationFeatureSetting",
+    "EntityIdSelector",
     "ExportFeatureValuesOperationMetadata",
     "ExportFeatureValuesRequest",
     "ExportFeatureValuesResponse",
@@ -946,6 +966,8 @@
     "ModelMonitoringObjectiveConfig",
     "SamplingStrategy",
     "ThresholdConfig",
+    "BatchImportEvaluatedAnnotationsRequest",
+    "BatchImportEvaluatedAnnotationsResponse",
     "BatchImportModelEvaluationSlicesRequest",
     "BatchImportModelEvaluationSlicesResponse",
     "CopyModelOperationMetadata",
diff --git a/google/cloud/aiplatform_v1/types/accelerator_type.py b/google/cloud/aiplatform_v1/types/accelerator_type.py
index 4bfc5add7e..7d265d6234 100644
--- a/google/cloud/aiplatform_v1/types/accelerator_type.py
+++ b/google/cloud/aiplatform_v1/types/accelerator_type.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
@@ -28,6 +30,7 @@
 
 class AcceleratorType(proto.Enum):
     r"""Represents a hardware accelerator type.
+    NEXT ID: 11.
 
     Values:
         ACCELERATOR_TYPE_UNSPECIFIED (0):
@@ -49,6 +52,8 @@ class AcceleratorType(proto.Enum):
             TPU v2.
         TPU_V3 (7):
             TPU v3.
+        TPU_V4_POD (10):
+            TPU v4.
     """
     ACCELERATOR_TYPE_UNSPECIFIED = 0
     NVIDIA_TESLA_K80 = 1
@@ -59,6 +64,7 @@ class AcceleratorType(proto.Enum):
     NVIDIA_TESLA_A100 = 8
     TPU_V2 = 6
     TPU_V3 = 7
+    TPU_V4_POD = 10
 
 
 __all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/google/cloud/aiplatform_v1/types/annotation.py b/google/cloud/aiplatform_v1/types/annotation.py
index d240aec77a..ef17e859fe 100644
--- a/google/cloud/aiplatform_v1/types/annotation.py
+++ b/google/cloud/aiplatform_v1/types/annotation.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/annotation_spec.py b/google/cloud/aiplatform_v1/types/annotation_spec.py
index f8174e63bc..5e885a9f95 100644
--- a/google/cloud/aiplatform_v1/types/annotation_spec.py
+++ b/google/cloud/aiplatform_v1/types/annotation_spec.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/artifact.py b/google/cloud/aiplatform_v1/types/artifact.py
index 99ea296cff..25bcf4a001 100644
--- a/google/cloud/aiplatform_v1/types/artifact.py
+++ b/google/cloud/aiplatform_v1/types/artifact.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/batch_prediction_job.py b/google/cloud/aiplatform_v1/types/batch_prediction_job.py
index b024037935..61fe141c9c 100644
--- a/google/cloud/aiplatform_v1/types/batch_prediction_job.py
+++ b/google/cloud/aiplatform_v1/types/batch_prediction_job.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
@@ -66,8 +68,12 @@ class BatchPredictionJob(proto.Message):
             unmanaged_container_model must be set.
 
             The model resource name may contain version id or version
-            alias to specify the version, if no version is specified,
-            the default version will be used.
+            alias to specify the version. Example:
+            ``projects/{project}/locations/{location}/models/{model}@2``
+            or
+            ``projects/{project}/locations/{location}/models/{model}@golden``
+            if no version is specified, the default version will be
+            deployed.
         model_version_id (str):
             Output only. The version ID of the Model that
             produces the predictions via this job.
@@ -217,6 +223,16 @@ class BatchPredictionJob(proto.Message):
             BatchPredictionJob. If this is set, then all
             resources created by the BatchPredictionJob will
             be encrypted with the provided encryption key.
+        disable_container_logging (bool):
+            For custom-trained Models and AutoML Tabular Models, the
+            container of the DeployedModel instances will send
+            ``stderr`` and ``stdout`` streams to Stackdriver Logging by
+            default. Please note that the logs incur cost, which are
+            subject to `Cloud Logging
+            pricing <https://cloud.google.com/stackdriver/pricing>`__.
+
+            User can disable container logging by setting this flag to
+            true.
     """
 
     class InputConfig(proto.Message):
@@ -662,6 +678,10 @@ class OutputInfo(proto.Message):
         number=24,
         message=gca_encryption_spec.EncryptionSpec,
     )
+    disable_container_logging: bool = proto.Field(
+        proto.BOOL,
+        number=34,
+    )
 
 
 __all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/google/cloud/aiplatform_v1/types/completion_stats.py b/google/cloud/aiplatform_v1/types/completion_stats.py
index ba2446431b..329f5748ae 100644
--- a/google/cloud/aiplatform_v1/types/completion_stats.py
+++ b/google/cloud/aiplatform_v1/types/completion_stats.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/context.py b/google/cloud/aiplatform_v1/types/context.py
index ae7c662aaa..aa986f8232 100644
--- a/google/cloud/aiplatform_v1/types/context.py
+++ b/google/cloud/aiplatform_v1/types/context.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/custom_job.py b/google/cloud/aiplatform_v1/types/custom_job.py
index 98f0a22960..98504c7d83 100644
--- a/google/cloud/aiplatform_v1/types/custom_job.py
+++ b/google/cloud/aiplatform_v1/types/custom_job.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/data_item.py b/google/cloud/aiplatform_v1/types/data_item.py
index 39c6f904c8..1248e29c7f 100644
--- a/google/cloud/aiplatform_v1/types/data_item.py
+++ b/google/cloud/aiplatform_v1/types/data_item.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/data_labeling_job.py b/google/cloud/aiplatform_v1/types/data_labeling_job.py
index fc75602ab2..dc6f9e59ea 100644
--- a/google/cloud/aiplatform_v1/types/data_labeling_job.py
+++ b/google/cloud/aiplatform_v1/types/data_labeling_job.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/dataset.py b/google/cloud/aiplatform_v1/types/dataset.py
index 2252f27fab..fb6a08776c 100644
--- a/google/cloud/aiplatform_v1/types/dataset.py
+++ b/google/cloud/aiplatform_v1/types/dataset.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
@@ -30,6 +32,7 @@
         "Dataset",
         "ImportDataConfig",
         "ExportDataConfig",
+        "ExportFractionSplit",
     },
 )
 
@@ -257,6 +260,11 @@ class ExportDataConfig(proto.Message):
             describe the output format.
 
             This field is a member of `oneof`_ ``destination``.
+        fraction_split (google.cloud.aiplatform_v1.types.ExportFractionSplit):
+            Split based on fractions defining the size of
+            each set.
+
+            This field is a member of `oneof`_ ``split``.
         annotations_filter (str):
             A filter on Annotations of the Dataset. Only Annotations on
             to-be-exported DataItems(specified by [data_items_filter][])
@@ -271,10 +279,51 @@ class ExportDataConfig(proto.Message):
         oneof="destination",
         message=io.GcsDestination,
     )
+    fraction_split: "ExportFractionSplit" = proto.Field(
+        proto.MESSAGE,
+        number=5,
+        oneof="split",
+        message="ExportFractionSplit",
+    )
     annotations_filter: str = proto.Field(
         proto.STRING,
         number=2,
     )
 
 
+class ExportFractionSplit(proto.Message):
+    r"""Assigns the input data to training, validation, and test sets as per
+    the given fractions. Any of ``training_fraction``,
+    ``validation_fraction`` and ``test_fraction`` may optionally be
+    provided, they must sum to up to 1. If the provided ones sum to less
+    than 1, the remainder is assigned to sets as decided by Vertex AI.
+    If none of the fractions are set, by default roughly 80% of data is
+    used for training, 10% for validation, and 10% for test.
+
+    Attributes:
+        training_fraction (float):
+            The fraction of the input data that is to be
+            used to train the Model.
+        validation_fraction (float):
+            The fraction of the input data that is to be
+            used to validate the Model.
+        test_fraction (float):
+            The fraction of the input data that is to be
+            used to evaluate the Model.
+    """
+
+    training_fraction: float = proto.Field(
+        proto.DOUBLE,
+        number=1,
+    )
+    validation_fraction: float = proto.Field(
+        proto.DOUBLE,
+        number=2,
+    )
+    test_fraction: float = proto.Field(
+        proto.DOUBLE,
+        number=3,
+    )
+
+
 __all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/google/cloud/aiplatform_v1/types/dataset_service.py b/google/cloud/aiplatform_v1/types/dataset_service.py
index ce6955e098..72f8b35d69 100644
--- a/google/cloud/aiplatform_v1/types/dataset_service.py
+++ b/google/cloud/aiplatform_v1/types/dataset_service.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/deployed_index_ref.py b/google/cloud/aiplatform_v1/types/deployed_index_ref.py
index 44e3629ab5..bebe37550b 100644
--- a/google/cloud/aiplatform_v1/types/deployed_index_ref.py
+++ b/google/cloud/aiplatform_v1/types/deployed_index_ref.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/deployed_model_ref.py b/google/cloud/aiplatform_v1/types/deployed_model_ref.py
index cc57776db5..9ae31fe04a 100644
--- a/google/cloud/aiplatform_v1/types/deployed_model_ref.py
+++ b/google/cloud/aiplatform_v1/types/deployed_model_ref.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/encryption_spec.py b/google/cloud/aiplatform_v1/types/encryption_spec.py
index 7902ad0b06..8c9fbadff6 100644
--- a/google/cloud/aiplatform_v1/types/encryption_spec.py
+++ b/google/cloud/aiplatform_v1/types/encryption_spec.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/endpoint.py b/google/cloud/aiplatform_v1/types/endpoint.py
index d69010af3e..34d2c26420 100644
--- a/google/cloud/aiplatform_v1/types/endpoint.py
+++ b/google/cloud/aiplatform_v1/types/endpoint.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
@@ -225,15 +227,17 @@ class DeployedModel(proto.Message):
             This value should be 1-10 characters, and valid characters
             are /[0-9]/.
         model (str):
-            Required. The resource name of the Model that
-            this is the deployment of. Note that the Model
-            may be in a different location than the
-            DeployedModel's Endpoint.
-
-            The resource name may contain version id or
-            version alias to specify the version, if no
-            version is specified, the default version will
-            be deployed.
+            Required. The resource name of the Model that this is the
+            deployment of. Note that the Model may be in a different
+            location than the DeployedModel's Endpoint.
+
+            The resource name may contain version id or version alias to
+            specify the version. Example:
+            ``projects/{project}/locations/{location}/models/{model}@2``
+            or
+            ``projects/{project}/locations/{location}/models/{model}@golden``
+            if no version is specified, the default version will be
+            deployed.
         model_version_id (str):
             Output only. The version ID of the model that
             is deployed.
diff --git a/google/cloud/aiplatform_v1/types/endpoint_service.py b/google/cloud/aiplatform_v1/types/endpoint_service.py
index be55554ed2..0dc0a48694 100644
--- a/google/cloud/aiplatform_v1/types/endpoint_service.py
+++ b/google/cloud/aiplatform_v1/types/endpoint_service.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/entity_type.py b/google/cloud/aiplatform_v1/types/entity_type.py
index ea1ff7f374..dbfe1b3738 100644
--- a/google/cloud/aiplatform_v1/types/entity_type.py
+++ b/google/cloud/aiplatform_v1/types/entity_type.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/env_var.py b/google/cloud/aiplatform_v1/types/env_var.py
index 9d7ac0e7bf..5dea45e5f9 100644
--- a/google/cloud/aiplatform_v1/types/env_var.py
+++ b/google/cloud/aiplatform_v1/types/env_var.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/evaluated_annotation.py b/google/cloud/aiplatform_v1/types/evaluated_annotation.py
new file mode 100644
index 0000000000..830d7eca51
--- /dev/null
+++ b/google/cloud/aiplatform_v1/types/evaluated_annotation.py
@@ -0,0 +1,288 @@
+# -*- coding: utf-8 -*-
+# Copyright 2022 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from __future__ import annotations
+
+from typing import MutableMapping, MutableSequence
+
+import proto  # type: ignore
+
+from google.cloud.aiplatform_v1.types import explanation as gca_explanation
+from google.protobuf import struct_pb2  # type: ignore
+
+
+__protobuf__ = proto.module(
+    package="google.cloud.aiplatform.v1",
+    manifest={
+        "EvaluatedAnnotation",
+        "EvaluatedAnnotationExplanation",
+        "ErrorAnalysisAnnotation",
+    },
+)
+
+
+class EvaluatedAnnotation(proto.Message):
+    r"""True positive, false positive, or false negative.
+
+    EvaluatedAnnotation is only available under ModelEvaluationSlice
+    with slice of ``annotationSpec`` dimension.
+
+    Attributes:
+        type_ (google.cloud.aiplatform_v1.types.EvaluatedAnnotation.EvaluatedAnnotationType):
+            Output only. Type of the EvaluatedAnnotation.
+        predictions (MutableSequence[google.protobuf.struct_pb2.Value]):
+            Output only. The model predicted annotations.
+
+            For true positive, there is one and only one prediction,
+            which matches the only one ground truth annotation in
+            [ground_truths][google.cloud.aiplatform.v1.EvaluatedAnnotation.ground_truths].
+
+            For false positive, there is one and only one prediction,
+            which doesn't match any ground truth annotation of the
+            corresponding
+            [data_item_view_id][EvaluatedAnnotation.data_item_view_id].
+
+            For false negative, there are zero or more predictions which
+            are similar to the only ground truth annotation in
+            [ground_truths][google.cloud.aiplatform.v1.EvaluatedAnnotation.ground_truths]
+            but not enough for a match.
+
+            The schema of the prediction is stored in
+            [ModelEvaluation.annotation_schema_uri][google.cloud.aiplatform.v1.ModelEvaluation.annotation_schema_uri]
+        ground_truths (MutableSequence[google.protobuf.struct_pb2.Value]):
+            Output only. The ground truth Annotations, i.e. the
+            Annotations that exist in the test data the Model is
+            evaluated on.
+
+            For true positive, there is one and only one ground truth
+            annotation, which matches the only prediction in
+            [predictions][google.cloud.aiplatform.v1.EvaluatedAnnotation.predictions].
+
+            For false positive, there are zero or more ground truth
+            annotations that are similar to the only prediction in
+            [predictions][google.cloud.aiplatform.v1.EvaluatedAnnotation.predictions],
+            but not enough for a match.
+
+            For false negative, there is one and only one ground truth
+            annotation, which doesn't match any predictions created by
+            the model.
+
+            The schema of the ground truth is stored in
+            [ModelEvaluation.annotation_schema_uri][google.cloud.aiplatform.v1.ModelEvaluation.annotation_schema_uri]
+        data_item_payload (google.protobuf.struct_pb2.Value):
+            Output only. The data item payload that the
+            Model predicted this EvaluatedAnnotation on.
+        evaluated_data_item_view_id (str):
+            Output only. ID of the EvaluatedDataItemView under the same
+            ancestor ModelEvaluation. The EvaluatedDataItemView consists
+            of all ground truths and predictions on
+            [data_item_payload][google.cloud.aiplatform.v1.EvaluatedAnnotation.data_item_payload].
+
+            Can be passed in
+            [GetEvaluatedDataItemView's][ModelService.GetEvaluatedDataItemView][]
+            [id][GetEvaluatedDataItemViewRequest.id].
+        explanations (MutableSequence[google.cloud.aiplatform_v1.types.EvaluatedAnnotationExplanation]):
+            Explanations of
+            [predictions][google.cloud.aiplatform.v1.EvaluatedAnnotation.predictions].
+            Each element of the explanations indicates the explanation
+            for one explanation Method.
+
+            The attributions list in the
+            [EvaluatedAnnotationExplanation.explanation][google.cloud.aiplatform.v1.EvaluatedAnnotationExplanation.explanation]
+            object corresponds to the
+            [predictions][google.cloud.aiplatform.v1.EvaluatedAnnotation.predictions]
+            list. For example, the second element in the attributions
+            list explains the second element in the predictions list.
+        error_analysis_annotations (MutableSequence[google.cloud.aiplatform_v1.types.ErrorAnalysisAnnotation]):
+            Annotations of model error analysis results.
+    """
+
+    class EvaluatedAnnotationType(proto.Enum):
+        r"""Describes the type of the EvaluatedAnnotation. The type is
+        determined
+
+        Values:
+            EVALUATED_ANNOTATION_TYPE_UNSPECIFIED (0):
+                Invalid value.
+            TRUE_POSITIVE (1):
+                The EvaluatedAnnotation is a true positive.
+                It has a prediction created by the Model and a
+                ground truth Annotation which the prediction
+                matches.
+            FALSE_POSITIVE (2):
+                The EvaluatedAnnotation is false positive. It
+                has a prediction created by the Model which does
+                not match any ground truth annotation.
+            FALSE_NEGATIVE (3):
+                The EvaluatedAnnotation is false negative. It
+                has a ground truth annotation which is not
+                matched by any of the model created predictions.
+        """
+        EVALUATED_ANNOTATION_TYPE_UNSPECIFIED = 0
+        TRUE_POSITIVE = 1
+        FALSE_POSITIVE = 2
+        FALSE_NEGATIVE = 3
+
+    type_: EvaluatedAnnotationType = proto.Field(
+        proto.ENUM,
+        number=1,
+        enum=EvaluatedAnnotationType,
+    )
+    predictions: MutableSequence[struct_pb2.Value] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=2,
+        message=struct_pb2.Value,
+    )
+    ground_truths: MutableSequence[struct_pb2.Value] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=3,
+        message=struct_pb2.Value,
+    )
+    data_item_payload: struct_pb2.Value = proto.Field(
+        proto.MESSAGE,
+        number=5,
+        message=struct_pb2.Value,
+    )
+    evaluated_data_item_view_id: str = proto.Field(
+        proto.STRING,
+        number=6,
+    )
+    explanations: MutableSequence[
+        "EvaluatedAnnotationExplanation"
+    ] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=8,
+        message="EvaluatedAnnotationExplanation",
+    )
+    error_analysis_annotations: MutableSequence[
+        "ErrorAnalysisAnnotation"
+    ] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=9,
+        message="ErrorAnalysisAnnotation",
+    )
+
+
+class EvaluatedAnnotationExplanation(proto.Message):
+    r"""Explanation result of the prediction produced by the Model.
+
+    Attributes:
+        explanation_type (str):
+            Explanation type.
+
+            For AutoML Image Classification models, possible values are:
+
+            -  ``image-integrated-gradients``
+            -  ``image-xrai``
+        explanation (google.cloud.aiplatform_v1.types.Explanation):
+            Explanation attribution response details.
+    """
+
+    explanation_type: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    explanation: gca_explanation.Explanation = proto.Field(
+        proto.MESSAGE,
+        number=2,
+        message=gca_explanation.Explanation,
+    )
+
+
+class ErrorAnalysisAnnotation(proto.Message):
+    r"""Model error analysis for each annotation.
+
+    Attributes:
+        attributed_items (MutableSequence[google.cloud.aiplatform_v1.types.ErrorAnalysisAnnotation.AttributedItem]):
+            Attributed items for a given annotation,
+            typically representing neighbors from the
+            training sets constrained by the query type.
+        query_type (google.cloud.aiplatform_v1.types.ErrorAnalysisAnnotation.QueryType):
+            The query type used for finding the
+            attributed items.
+        outlier_score (float):
+            The outlier score of this annotated item.
+            Usually defined as the min of all distances from
+            attributed items.
+        outlier_threshold (float):
+            The threshold used to determine if this
+            annotation is an outlier or not.
+    """
+
+    class QueryType(proto.Enum):
+        r"""The query type used for finding the attributed items.
+
+        Values:
+            QUERY_TYPE_UNSPECIFIED (0):
+                Unspecified query type for model error
+                analysis.
+            ALL_SIMILAR (1):
+                Query similar samples across all classes in
+                the dataset.
+            SAME_CLASS_SIMILAR (2):
+                Query similar samples from the same class of
+                the input sample.
+            SAME_CLASS_DISSIMILAR (3):
+                Query dissimilar samples from the same class
+                of the input sample.
+        """
+        QUERY_TYPE_UNSPECIFIED = 0
+        ALL_SIMILAR = 1
+        SAME_CLASS_SIMILAR = 2
+        SAME_CLASS_DISSIMILAR = 3
+
+    class AttributedItem(proto.Message):
+        r"""Attributed items for a given annotation, typically
+        representing neighbors from the training sets constrained by the
+        query type.
+
+        Attributes:
+            annotation_resource_name (str):
+                The unique ID for each annotation. Used by FE
+                to allocate the annotation in DB.
+            distance (float):
+                The distance of this item to the annotation.
+        """
+
+        annotation_resource_name: str = proto.Field(
+            proto.STRING,
+            number=1,
+        )
+        distance: float = proto.Field(
+            proto.DOUBLE,
+            number=2,
+        )
+
+    attributed_items: MutableSequence[AttributedItem] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=1,
+        message=AttributedItem,
+    )
+    query_type: QueryType = proto.Field(
+        proto.ENUM,
+        number=2,
+        enum=QueryType,
+    )
+    outlier_score: float = proto.Field(
+        proto.DOUBLE,
+        number=3,
+    )
+    outlier_threshold: float = proto.Field(
+        proto.DOUBLE,
+        number=4,
+    )
+
+
+__all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/google/cloud/aiplatform_v1/types/event.py b/google/cloud/aiplatform_v1/types/event.py
index 050ffd9cf5..80b1ef0162 100644
--- a/google/cloud/aiplatform_v1/types/event.py
+++ b/google/cloud/aiplatform_v1/types/event.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/execution.py b/google/cloud/aiplatform_v1/types/execution.py
index 6c6b69c115..4701e1990d 100644
--- a/google/cloud/aiplatform_v1/types/execution.py
+++ b/google/cloud/aiplatform_v1/types/execution.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/explanation.py b/google/cloud/aiplatform_v1/types/explanation.py
index 7007be2468..7a79588727 100644
--- a/google/cloud/aiplatform_v1/types/explanation.py
+++ b/google/cloud/aiplatform_v1/types/explanation.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/explanation_metadata.py b/google/cloud/aiplatform_v1/types/explanation_metadata.py
index ca65906ac0..1a8d31bca1 100644
--- a/google/cloud/aiplatform_v1/types/explanation_metadata.py
+++ b/google/cloud/aiplatform_v1/types/explanation_metadata.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/feature.py b/google/cloud/aiplatform_v1/types/feature.py
index 98f7f7fccd..9b94f786e2 100644
--- a/google/cloud/aiplatform_v1/types/feature.py
+++ b/google/cloud/aiplatform_v1/types/feature.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/feature_monitoring_stats.py b/google/cloud/aiplatform_v1/types/feature_monitoring_stats.py
index c2985f44ab..2edeee70f0 100644
--- a/google/cloud/aiplatform_v1/types/feature_monitoring_stats.py
+++ b/google/cloud/aiplatform_v1/types/feature_monitoring_stats.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/feature_selector.py b/google/cloud/aiplatform_v1/types/feature_selector.py
index c695ff7739..fee45e7e65 100644
--- a/google/cloud/aiplatform_v1/types/feature_selector.py
+++ b/google/cloud/aiplatform_v1/types/feature_selector.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/featurestore.py b/google/cloud/aiplatform_v1/types/featurestore.py
index 0fad18fa39..92ffe88677 100644
--- a/google/cloud/aiplatform_v1/types/featurestore.py
+++ b/google/cloud/aiplatform_v1/types/featurestore.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
@@ -140,6 +142,17 @@ class Scaling(proto.Message):
                     The maximum number of nodes to scale up to. Must be greater
                     than min_node_count, and less than or equal to 10 times of
                     'min_node_count'.
+                cpu_utilization_target (int):
+                    Optional. The cpu utilization that the
+                    Autoscaler should be trying to achieve. This
+                    number is on a scale from 0 (no utilization) to
+                    100 (total utilization), and is limited between
+                    10 and 80. When a cluster's CPU utilization
+                    exceeds the target that you have set, Bigtable
+                    immediately adds nodes to the cluster. When CPU
+                    utilization is substantially lower than the
+                    target, Bigtable removes nodes. If not set or
+                    set to 0, default to 50.
             """
 
             min_node_count: int = proto.Field(
@@ -150,6 +163,10 @@ class Scaling(proto.Message):
                 proto.INT32,
                 number=2,
             )
+            cpu_utilization_target: int = proto.Field(
+                proto.INT32,
+                number=3,
+            )
 
         fixed_node_count: int = proto.Field(
             proto.INT32,
diff --git a/google/cloud/aiplatform_v1/types/featurestore_monitoring.py b/google/cloud/aiplatform_v1/types/featurestore_monitoring.py
index e8129c2295..f34b81724d 100644
--- a/google/cloud/aiplatform_v1/types/featurestore_monitoring.py
+++ b/google/cloud/aiplatform_v1/types/featurestore_monitoring.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
@@ -70,15 +72,9 @@ class SnapshotAnalysis(proto.Message):
                 the EntityType-level config. Explicitly Disable the snapshot
                 analysis based monitoring.
             monitoring_interval_days (int):
-                Configuration of the snapshot analysis based monitoring
-                pipeline running interval. The value indicates number of
-                days. If both
-                [FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days][google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days]
-                and
-                [FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval][]
-                are set when creating/updating EntityTypes/Features,
-                [FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days][google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days]
-                will be used.
+                Configuration of the snapshot analysis based
+                monitoring pipeline running interval. The value
+                indicates number of days.
             staleness_days (int):
                 Customized export features time window for
                 snapshot analysis. Unit is one day. Default
@@ -102,7 +98,9 @@ class SnapshotAnalysis(proto.Message):
     class ImportFeaturesAnalysis(proto.Message):
         r"""Configuration of the Featurestore's ImportFeature Analysis Based
         Monitoring. This type of analysis generates statistics for values of
-        each Feature imported by every [ImportFeatureValues][] operation.
+        each Feature imported by every
+        [ImportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ImportFeatureValues]
+        operation.
 
         Attributes:
             state (google.cloud.aiplatform_v1.types.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.State):
@@ -148,7 +146,9 @@ class State(proto.Enum):
 
         class Baseline(proto.Enum):
             r"""Defines the baseline to do anomaly detection for feature values
-            imported by each [ImportFeatureValues][] operation.
+            imported by each
+            [ImportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ImportFeatureValues]
+            operation.
 
             Values:
                 BASELINE_UNSPECIFIED (0):
diff --git a/google/cloud/aiplatform_v1/types/featurestore_online_service.py b/google/cloud/aiplatform_v1/types/featurestore_online_service.py
index 28215f583e..100a4e08f9 100644
--- a/google/cloud/aiplatform_v1/types/featurestore_online_service.py
+++ b/google/cloud/aiplatform_v1/types/featurestore_online_service.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/featurestore_service.py b/google/cloud/aiplatform_v1/types/featurestore_service.py
index 24a9ab0c30..3265420c49 100644
--- a/google/cloud/aiplatform_v1/types/featurestore_service.py
+++ b/google/cloud/aiplatform_v1/types/featurestore_service.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
@@ -25,6 +27,7 @@
 from google.cloud.aiplatform_v1.types import operation
 from google.protobuf import field_mask_pb2  # type: ignore
 from google.protobuf import timestamp_pb2  # type: ignore
+from google.type import interval_pb2  # type: ignore
 
 
 __protobuf__ = proto.module(
@@ -65,9 +68,13 @@
         "ImportFeatureValuesOperationMetadata",
         "ExportFeatureValuesOperationMetadata",
         "BatchReadFeatureValuesOperationMetadata",
+        "DeleteFeatureValuesOperationMetadata",
         "CreateEntityTypeOperationMetadata",
         "CreateFeatureOperationMetadata",
         "BatchCreateFeaturesOperationMetadata",
+        "DeleteFeatureValuesRequest",
+        "DeleteFeatureValuesResponse",
+        "EntityIdSelector",
     },
 )
 
@@ -1655,6 +1662,22 @@ class BatchReadFeatureValuesOperationMetadata(proto.Message):
     )
 
 
+class DeleteFeatureValuesOperationMetadata(proto.Message):
+    r"""Details of operations that delete Feature values.
+
+    Attributes:
+        generic_metadata (google.cloud.aiplatform_v1.types.GenericOperationMetadata):
+            Operation metadata for Featurestore delete
+            Features values.
+    """
+
+    generic_metadata: operation.GenericOperationMetadata = proto.Field(
+        proto.MESSAGE,
+        number=1,
+        message=operation.GenericOperationMetadata,
+    )
+
+
 class CreateEntityTypeOperationMetadata(proto.Message):
     r"""Details of operations that perform create EntityType.
 
@@ -1700,4 +1723,235 @@ class BatchCreateFeaturesOperationMetadata(proto.Message):
     )
 
 
+class DeleteFeatureValuesRequest(proto.Message):
+    r"""Request message for
+    [FeaturestoreService.DeleteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeatureValues].
+
+    This message has `oneof`_ fields (mutually exclusive fields).
+    For each oneof, at most one member field can be set at the same time.
+    Setting any member of the oneof automatically clears all other
+    members.
+
+    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
+    Attributes:
+        select_entity (google.cloud.aiplatform_v1.types.DeleteFeatureValuesRequest.SelectEntity):
+            Select feature values to be deleted by
+            specifying entities.
+
+            This field is a member of `oneof`_ ``DeleteOption``.
+        select_time_range_and_feature (google.cloud.aiplatform_v1.types.DeleteFeatureValuesRequest.SelectTimeRangeAndFeature):
+            Select feature values to be deleted by
+            specifying time range and features.
+
+            This field is a member of `oneof`_ ``DeleteOption``.
+        entity_type (str):
+            Required. The resource name of the EntityType grouping the
+            Features for which values are being deleted from. Format:
+            ``projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}``
+    """
+
+    class SelectEntity(proto.Message):
+        r"""Message to select entity.
+        If an entity id is selected, all the feature values
+        corresponding to the entity id will be deleted, including the
+        entityId.
+
+        Attributes:
+            entity_id_selector (google.cloud.aiplatform_v1.types.EntityIdSelector):
+                Required. Selectors choosing feature values
+                of which entity id to be deleted from the
+                EntityType.
+        """
+
+        entity_id_selector: "EntityIdSelector" = proto.Field(
+            proto.MESSAGE,
+            number=1,
+            message="EntityIdSelector",
+        )
+
+    class SelectTimeRangeAndFeature(proto.Message):
+        r"""Message to select time range and feature.
+        Values of the selected feature generated within an inclusive
+        time range will be deleted. Using this option permanently
+        deletes the feature values from the specified feature IDs within
+        the specified time range. This might include data from the
+        online storage. If you want to retain any deleted historical
+        data in the online storage, you must re-ingest it.
+
+        Attributes:
+            time_range (google.type.interval_pb2.Interval):
+                Required. Select feature generated within a
+                half-inclusive time range. The time range is
+                lower inclusive and upper exclusive.
+            feature_selector (google.cloud.aiplatform_v1.types.FeatureSelector):
+                Required. Selectors choosing which feature
+                values to be deleted from the EntityType.
+            skip_online_storage_delete (bool):
+                If set, data will not be deleted from online
+                storage. When time range is older than the data
+                in online storage, setting this to be true will
+                make the deletion have no impact on online
+                serving.
+        """
+
+        time_range: interval_pb2.Interval = proto.Field(
+            proto.MESSAGE,
+            number=1,
+            message=interval_pb2.Interval,
+        )
+        feature_selector: gca_feature_selector.FeatureSelector = proto.Field(
+            proto.MESSAGE,
+            number=2,
+            message=gca_feature_selector.FeatureSelector,
+        )
+        skip_online_storage_delete: bool = proto.Field(
+            proto.BOOL,
+            number=3,
+        )
+
+    select_entity: SelectEntity = proto.Field(
+        proto.MESSAGE,
+        number=2,
+        oneof="DeleteOption",
+        message=SelectEntity,
+    )
+    select_time_range_and_feature: SelectTimeRangeAndFeature = proto.Field(
+        proto.MESSAGE,
+        number=3,
+        oneof="DeleteOption",
+        message=SelectTimeRangeAndFeature,
+    )
+    entity_type: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+
+
+class DeleteFeatureValuesResponse(proto.Message):
+    r"""Response message for
+    [FeaturestoreService.DeleteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeatureValues].
+
+    This message has `oneof`_ fields (mutually exclusive fields).
+    For each oneof, at most one member field can be set at the same time.
+    Setting any member of the oneof automatically clears all other
+    members.
+
+    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
+    Attributes:
+        select_entity (google.cloud.aiplatform_v1.types.DeleteFeatureValuesResponse.SelectEntity):
+            Response for request specifying the entities
+            to delete
+
+            This field is a member of `oneof`_ ``response``.
+        select_time_range_and_feature (google.cloud.aiplatform_v1.types.DeleteFeatureValuesResponse.SelectTimeRangeAndFeature):
+            Response for request specifying time range
+            and feature
+
+            This field is a member of `oneof`_ ``response``.
+    """
+
+    class SelectEntity(proto.Message):
+        r"""Response message if the request uses the SelectEntity option.
+
+        Attributes:
+            offline_storage_deleted_entity_row_count (int):
+                The count of deleted entity rows in the
+                offline storage. Each row corresponds to the
+                combination of an entity ID and a timestamp. One
+                entity ID can have multiple rows in the offline
+                storage.
+            online_storage_deleted_entity_count (int):
+                The count of deleted entities in the online
+                storage. Each entity ID corresponds to one
+                entity.
+        """
+
+        offline_storage_deleted_entity_row_count: int = proto.Field(
+            proto.INT64,
+            number=1,
+        )
+        online_storage_deleted_entity_count: int = proto.Field(
+            proto.INT64,
+            number=2,
+        )
+
+    class SelectTimeRangeAndFeature(proto.Message):
+        r"""Response message if the request uses the
+        SelectTimeRangeAndFeature option.
+
+        Attributes:
+            impacted_feature_count (int):
+                The count of the features or columns
+                impacted. This is the same as the feature count
+                in the request.
+            offline_storage_modified_entity_row_count (int):
+                The count of modified entity rows in the
+                offline storage. Each row corresponds to the
+                combination of an entity ID and a timestamp. One
+                entity ID can have multiple rows in the offline
+                storage. Within each row, only the features
+                specified in the request are deleted.
+            online_storage_modified_entity_count (int):
+                The count of modified entities in the online
+                storage. Each entity ID corresponds to one
+                entity. Within each entity, only the features
+                specified in the request are deleted.
+        """
+
+        impacted_feature_count: int = proto.Field(
+            proto.INT64,
+            number=1,
+        )
+        offline_storage_modified_entity_row_count: int = proto.Field(
+            proto.INT64,
+            number=2,
+        )
+        online_storage_modified_entity_count: int = proto.Field(
+            proto.INT64,
+            number=3,
+        )
+
+    select_entity: SelectEntity = proto.Field(
+        proto.MESSAGE,
+        number=1,
+        oneof="response",
+        message=SelectEntity,
+    )
+    select_time_range_and_feature: SelectTimeRangeAndFeature = proto.Field(
+        proto.MESSAGE,
+        number=2,
+        oneof="response",
+        message=SelectTimeRangeAndFeature,
+    )
+
+
+class EntityIdSelector(proto.Message):
+    r"""Selector for entityId. Getting ids from the given source.
+
+    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
+    Attributes:
+        csv_source (google.cloud.aiplatform_v1.types.CsvSource):
+            Source of Csv
+
+            This field is a member of `oneof`_ ``EntityIdsSource``.
+        entity_id_field (str):
+            Source column that holds entity IDs. If not provided, entity
+            IDs are extracted from the column named ``entity_id``.
+    """
+
+    csv_source: io.CsvSource = proto.Field(
+        proto.MESSAGE,
+        number=3,
+        oneof="EntityIdsSource",
+        message=io.CsvSource,
+    )
+    entity_id_field: str = proto.Field(
+        proto.STRING,
+        number=5,
+    )
+
+
 __all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/google/cloud/aiplatform_v1/types/hyperparameter_tuning_job.py b/google/cloud/aiplatform_v1/types/hyperparameter_tuning_job.py
index ee08f46cea..2d75d0754b 100644
--- a/google/cloud/aiplatform_v1/types/hyperparameter_tuning_job.py
+++ b/google/cloud/aiplatform_v1/types/hyperparameter_tuning_job.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/index.py b/google/cloud/aiplatform_v1/types/index.py
index f346ee79ca..adc54c4863 100644
--- a/google/cloud/aiplatform_v1/types/index.py
+++ b/google/cloud/aiplatform_v1/types/index.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/index_endpoint.py b/google/cloud/aiplatform_v1/types/index_endpoint.py
index 37ca8585e8..fcf248d06f 100644
--- a/google/cloud/aiplatform_v1/types/index_endpoint.py
+++ b/google/cloud/aiplatform_v1/types/index_endpoint.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/index_endpoint_service.py b/google/cloud/aiplatform_v1/types/index_endpoint_service.py
index 89547d2abb..6066b8d372 100644
--- a/google/cloud/aiplatform_v1/types/index_endpoint_service.py
+++ b/google/cloud/aiplatform_v1/types/index_endpoint_service.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/index_service.py b/google/cloud/aiplatform_v1/types/index_service.py
index 1883f12f09..96d8e2873d 100644
--- a/google/cloud/aiplatform_v1/types/index_service.py
+++ b/google/cloud/aiplatform_v1/types/index_service.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/io.py b/google/cloud/aiplatform_v1/types/io.py
index 2423fba8a8..fa63f02e66 100644
--- a/google/cloud/aiplatform_v1/types/io.py
+++ b/google/cloud/aiplatform_v1/types/io.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/job_service.py b/google/cloud/aiplatform_v1/types/job_service.py
index b1de3ef177..73d751b1d4 100644
--- a/google/cloud/aiplatform_v1/types/job_service.py
+++ b/google/cloud/aiplatform_v1/types/job_service.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/job_state.py b/google/cloud/aiplatform_v1/types/job_state.py
index 33f830cf62..094ad7ef48 100644
--- a/google/cloud/aiplatform_v1/types/job_state.py
+++ b/google/cloud/aiplatform_v1/types/job_state.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
@@ -54,12 +56,9 @@ class JobState(proto.Enum):
         JOB_STATE_EXPIRED (9):
             The job has expired.
         JOB_STATE_UPDATING (10):
-            The job is being updated. The job is only able to be updated
-            at RUNNING state; if the update operation succeeds, job goes
-            back to RUNNING state; if the update operation fails, the
-            job goes back to RUNNING state with error messages written
-            to [ModelDeploymentMonitoringJob.partial_errors][] field if
-            it is a ModelDeploymentMonitoringJob.
+            The job is being updated. Only jobs in the ``RUNNING`` state
+            can be updated. After updating, the job goes back to the
+            ``RUNNING`` state.
     """
     JOB_STATE_UNSPECIFIED = 0
     JOB_STATE_QUEUED = 1
diff --git a/google/cloud/aiplatform_v1/types/lineage_subgraph.py b/google/cloud/aiplatform_v1/types/lineage_subgraph.py
index cd4b0f30ca..0bdb293b80 100644
--- a/google/cloud/aiplatform_v1/types/lineage_subgraph.py
+++ b/google/cloud/aiplatform_v1/types/lineage_subgraph.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/machine_resources.py b/google/cloud/aiplatform_v1/types/machine_resources.py
index 17aa82abb6..d5531444c9 100644
--- a/google/cloud/aiplatform_v1/types/machine_resources.py
+++ b/google/cloud/aiplatform_v1/types/machine_resources.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/manual_batch_tuning_parameters.py b/google/cloud/aiplatform_v1/types/manual_batch_tuning_parameters.py
index 37acd80ae4..04e29cd1de 100644
--- a/google/cloud/aiplatform_v1/types/manual_batch_tuning_parameters.py
+++ b/google/cloud/aiplatform_v1/types/manual_batch_tuning_parameters.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/metadata_schema.py b/google/cloud/aiplatform_v1/types/metadata_schema.py
index 56e734060a..8f484ed827 100644
--- a/google/cloud/aiplatform_v1/types/metadata_schema.py
+++ b/google/cloud/aiplatform_v1/types/metadata_schema.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/metadata_service.py b/google/cloud/aiplatform_v1/types/metadata_service.py
index 492d370b50..0d12eed034 100644
--- a/google/cloud/aiplatform_v1/types/metadata_service.py
+++ b/google/cloud/aiplatform_v1/types/metadata_service.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/metadata_store.py b/google/cloud/aiplatform_v1/types/metadata_store.py
index 49036dca5b..0436b60bc6 100644
--- a/google/cloud/aiplatform_v1/types/metadata_store.py
+++ b/google/cloud/aiplatform_v1/types/metadata_store.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/migratable_resource.py b/google/cloud/aiplatform_v1/types/migratable_resource.py
index 1d143a06cf..30335b68af 100644
--- a/google/cloud/aiplatform_v1/types/migratable_resource.py
+++ b/google/cloud/aiplatform_v1/types/migratable_resource.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/migration_service.py b/google/cloud/aiplatform_v1/types/migration_service.py
index 28e2de09fb..fd4d7bee76 100644
--- a/google/cloud/aiplatform_v1/types/migration_service.py
+++ b/google/cloud/aiplatform_v1/types/migration_service.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/model.py b/google/cloud/aiplatform_v1/types/model.py
index bdd2b0b5c4..48d16c4da7 100644
--- a/google/cloud/aiplatform_v1/types/model.py
+++ b/google/cloud/aiplatform_v1/types/model.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
@@ -111,11 +113,13 @@ class Model(proto.Message):
             ingested upon
             [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel],
             and all binaries it contains are copied and stored
-            internally by Vertex AI. Not present for AutoML Models.
+            internally by Vertex AI. Not present for AutoML Models or
+            Large Models.
         artifact_uri (str):
             Immutable. The path to the directory
             containing the Model artifact and any of its
-            supporting files. Not present for AutoML Models.
+            supporting files. Not present for AutoML Models
+            or Large Models.
         supported_deployment_resources_types (MutableSequence[google.cloud.aiplatform_v1.types.Model.DeploymentResourcesType]):
             Output only. When this Model is deployed, its prediction
             resources are described by the ``prediction_resources``
@@ -232,11 +236,12 @@ class Model(proto.Message):
             The default explanation specification for this Model.
 
             The Model can be used for [requesting
-            explanation][PredictionService.Explain] after being
+            explanation][google.cloud.aiplatform.v1.PredictionService.Explain]
+            after being
             [deployed][google.cloud.aiplatform.v1.EndpointService.DeployModel]
             if it is populated. The Model can be used for [batch
-            explanation][BatchPredictionJob.generate_explanation] if it
-            is populated.
+            explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation]
+            if it is populated.
 
             All fields of the explanation_spec can be overridden by
             [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
@@ -249,13 +254,14 @@ class Model(proto.Message):
 
             If the default explanation specification is not set for this
             Model, this Model can still be used for [requesting
-            explanation][PredictionService.Explain] by setting
+            explanation][google.cloud.aiplatform.v1.PredictionService.Explain]
+            by setting
             [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
             of
             [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1.DeployModelRequest.deployed_model]
             and for [batch
-            explanation][BatchPredictionJob.generate_explanation] by
-            setting
+            explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation]
+            by setting
             [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
             of
             [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob].
diff --git a/google/cloud/aiplatform_v1/types/model_deployment_monitoring_job.py b/google/cloud/aiplatform_v1/types/model_deployment_monitoring_job.py
index f6908da327..14083a168c 100644
--- a/google/cloud/aiplatform_v1/types/model_deployment_monitoring_job.py
+++ b/google/cloud/aiplatform_v1/types/model_deployment_monitoring_job.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/model_evaluation.py b/google/cloud/aiplatform_v1/types/model_evaluation.py
index 9da0986097..d1b5473324 100644
--- a/google/cloud/aiplatform_v1/types/model_evaluation.py
+++ b/google/cloud/aiplatform_v1/types/model_evaluation.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
@@ -65,8 +67,8 @@ class ModelEvaluation(proto.Message):
         data_item_schema_uri (str):
             Points to a YAML file stored on Google Cloud Storage
             describing [EvaluatedDataItemView.data_item_payload][] and
-            [EvaluatedAnnotation.data_item_payload][]. The schema is
-            defined as an OpenAPI 3.0.2 `Schema
+            [EvaluatedAnnotation.data_item_payload][google.cloud.aiplatform.v1.EvaluatedAnnotation.data_item_payload].
+            The schema is defined as an OpenAPI 3.0.2 `Schema
             Object <https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject>`__.
 
             This field is not populated if there are neither
@@ -76,9 +78,10 @@ class ModelEvaluation(proto.Message):
             Points to a YAML file stored on Google Cloud Storage
             describing [EvaluatedDataItemView.predictions][],
             [EvaluatedDataItemView.ground_truths][],
-            [EvaluatedAnnotation.predictions][], and
-            [EvaluatedAnnotation.ground_truths][]. The schema is defined
-            as an OpenAPI 3.0.2 `Schema
+            [EvaluatedAnnotation.predictions][google.cloud.aiplatform.v1.EvaluatedAnnotation.predictions],
+            and
+            [EvaluatedAnnotation.ground_truths][google.cloud.aiplatform.v1.EvaluatedAnnotation.ground_truths].
+            The schema is defined as an OpenAPI 3.0.2 `Schema
             Object <https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject>`__.
 
             This field is not populated if there are neither
diff --git a/google/cloud/aiplatform_v1/types/model_evaluation_slice.py b/google/cloud/aiplatform_v1/types/model_evaluation_slice.py
index 50c60e0c9d..88776fa3be 100644
--- a/google/cloud/aiplatform_v1/types/model_evaluation_slice.py
+++ b/google/cloud/aiplatform_v1/types/model_evaluation_slice.py
@@ -13,12 +13,16 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
 
+from google.cloud.aiplatform_v1.types import explanation
 from google.protobuf import struct_pb2  # type: ignore
 from google.protobuf import timestamp_pb2  # type: ignore
+from google.protobuf import wrappers_pb2  # type: ignore
 
 
 __protobuf__ = proto.module(
@@ -55,6 +59,12 @@ class ModelEvaluationSlice(proto.Message):
         create_time (google.protobuf.timestamp_pb2.Timestamp):
             Output only. Timestamp when this
             ModelEvaluationSlice was created.
+        model_explanation (google.cloud.aiplatform_v1.types.ModelExplanation):
+            Output only. Aggregated explanation metrics
+            for the Model's prediction output over the data
+            this ModelEvaluation uses. This field is
+            populated only if the Model is evaluated with
+            explanations, and only for tabular Models.
     """
 
     class Slice(proto.Message):
@@ -70,11 +80,203 @@ class Slice(proto.Message):
                    [AnnotationSpec.display_name][google.cloud.aiplatform.v1.AnnotationSpec.display_name]
                    equals to
                    [value][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.value].
+                -  ``slice``: This slice is a user customized slice defined
+                   by its SliceSpec.
             value (str):
                 Output only. The value of the dimension in
                 this slice.
+            slice_spec (google.cloud.aiplatform_v1.types.ModelEvaluationSlice.Slice.SliceSpec):
+                Output only. Specification for how the data
+                was sliced.
         """
 
+        class SliceSpec(proto.Message):
+            r"""Specification for how the data should be sliced.
+
+            Attributes:
+                configs (MutableMapping[str, google.cloud.aiplatform_v1.types.ModelEvaluationSlice.Slice.SliceSpec.SliceConfig]):
+                    Mapping configuration for this SliceSpec.
+                    The key is the name of the feature.
+                    By default, the key will be prefixed by
+                    "instance" as a dictionary prefix for Vertex
+                    Batch Predictions output format.
+            """
+
+            class SliceConfig(proto.Message):
+                r"""Specification message containing the config for this SliceSpec. When
+                ``kind`` is selected as ``value`` and/or ``range``, only a single
+                slice will be computed. When ``all_values`` is present, a separate
+                slice will be computed for each possible label/value for the
+                corresponding key in ``config``. Examples, with feature zip_code
+                with values 12345, 23334, 88888 and feature country with values
+                "US", "Canada", "Mexico" in the dataset:
+
+                Example 1:
+
+                ::
+
+                    {
+                      "zip_code": { "value": { "float_value": 12345.0 } }
+                    }
+
+                A single slice for any data with zip_code 12345 in the dataset.
+
+                Example 2:
+
+                ::
+
+                    {
+                      "zip_code": { "range": { "low": 12345, "high": 20000 } }
+                    }
+
+                A single slice containing data where the zip_codes between 12345 and
+                20000 For this example, data with the zip_code of 12345 will be in
+                this slice.
+
+                Example 3:
+
+                ::
+
+                    {
+                      "zip_code": { "range": { "low": 10000, "high": 20000 } },
+                      "country": { "value": { "string_value": "US" } }
+                    }
+
+                A single slice containing data where the zip_codes between 10000 and
+                20000 has the country "US". For this example, data with the zip_code
+                of 12345 and country "US" will be in this slice.
+
+                Example 4:
+
+                ::
+
+                    { "country": {"all_values": { "value": true } } }
+
+                Three slices are computed, one for each unique country in the
+                dataset.
+
+                Example 5:
+
+                ::
+
+                    {
+                      "country": { "all_values": { "value": true } },
+                      "zip_code": { "value": { "float_value": 12345.0 } }
+                    }
+
+                Three slices are computed, one for each unique country in the
+                dataset where the zip_code is also 12345. For this example, data
+                with zip_code 12345 and country "US" will be in one slice, zip_code
+                12345 and country "Canada" in another slice, and zip_code 12345 and
+                country "Mexico" in another slice, totaling 3 slices.
+
+                This message has `oneof`_ fields (mutually exclusive fields).
+                For each oneof, at most one member field can be set at the same time.
+                Setting any member of the oneof automatically clears all other
+                members.
+
+                .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
+                Attributes:
+                    value (google.cloud.aiplatform_v1.types.ModelEvaluationSlice.Slice.SliceSpec.Value):
+                        A unique specific value for a given feature. Example:
+                        ``{ "value": { "string_value": "12345" } }``
+
+                        This field is a member of `oneof`_ ``kind``.
+                    range_ (google.cloud.aiplatform_v1.types.ModelEvaluationSlice.Slice.SliceSpec.Range):
+                        A range of values for a numerical feature. Example:
+                        ``{"range":{"low":10000.0,"high":50000.0}}`` will capture
+                        12345 and 23334 in the slice.
+
+                        This field is a member of `oneof`_ ``kind``.
+                    all_values (google.protobuf.wrappers_pb2.BoolValue):
+                        If all_values is set to true, then all possible labels of
+                        the keyed feature will have another slice computed. Example:
+                        ``{"all_values":{"value":true}}``
+
+                        This field is a member of `oneof`_ ``kind``.
+                """
+
+                value: "ModelEvaluationSlice.Slice.SliceSpec.Value" = proto.Field(
+                    proto.MESSAGE,
+                    number=1,
+                    oneof="kind",
+                    message="ModelEvaluationSlice.Slice.SliceSpec.Value",
+                )
+                range_: "ModelEvaluationSlice.Slice.SliceSpec.Range" = proto.Field(
+                    proto.MESSAGE,
+                    number=2,
+                    oneof="kind",
+                    message="ModelEvaluationSlice.Slice.SliceSpec.Range",
+                )
+                all_values: wrappers_pb2.BoolValue = proto.Field(
+                    proto.MESSAGE,
+                    number=3,
+                    oneof="kind",
+                    message=wrappers_pb2.BoolValue,
+                )
+
+            class Range(proto.Message):
+                r"""A range of values for slice(s). ``low`` is inclusive, ``high`` is
+                exclusive.
+
+                Attributes:
+                    low (float):
+                        Inclusive low value for the range.
+                    high (float):
+                        Exclusive high value for the range.
+                """
+
+                low: float = proto.Field(
+                    proto.FLOAT,
+                    number=1,
+                )
+                high: float = proto.Field(
+                    proto.FLOAT,
+                    number=2,
+                )
+
+            class Value(proto.Message):
+                r"""Single value that supports strings and floats.
+
+                This message has `oneof`_ fields (mutually exclusive fields).
+                For each oneof, at most one member field can be set at the same time.
+                Setting any member of the oneof automatically clears all other
+                members.
+
+                .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
+                Attributes:
+                    string_value (str):
+                        String type.
+
+                        This field is a member of `oneof`_ ``kind``.
+                    float_value (float):
+                        Float type.
+
+                        This field is a member of `oneof`_ ``kind``.
+                """
+
+                string_value: str = proto.Field(
+                    proto.STRING,
+                    number=1,
+                    oneof="kind",
+                )
+                float_value: float = proto.Field(
+                    proto.FLOAT,
+                    number=2,
+                    oneof="kind",
+                )
+
+            configs: MutableMapping[
+                str, "ModelEvaluationSlice.Slice.SliceSpec.SliceConfig"
+            ] = proto.MapField(
+                proto.STRING,
+                proto.MESSAGE,
+                number=1,
+                message="ModelEvaluationSlice.Slice.SliceSpec.SliceConfig",
+            )
+
         dimension: str = proto.Field(
             proto.STRING,
             number=1,
@@ -83,6 +285,11 @@ class Slice(proto.Message):
             proto.STRING,
             number=2,
         )
+        slice_spec: "ModelEvaluationSlice.Slice.SliceSpec" = proto.Field(
+            proto.MESSAGE,
+            number=3,
+            message="ModelEvaluationSlice.Slice.SliceSpec",
+        )
 
     name: str = proto.Field(
         proto.STRING,
@@ -107,6 +314,11 @@ class Slice(proto.Message):
         number=5,
         message=timestamp_pb2.Timestamp,
     )
+    model_explanation: explanation.ModelExplanation = proto.Field(
+        proto.MESSAGE,
+        number=6,
+        message=explanation.ModelExplanation,
+    )
 
 
 __all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/google/cloud/aiplatform_v1/types/model_monitoring.py b/google/cloud/aiplatform_v1/types/model_monitoring.py
index 78dd807a46..49dcff0f55 100644
--- a/google/cloud/aiplatform_v1/types/model_monitoring.py
+++ b/google/cloud/aiplatform_v1/types/model_monitoring.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/model_service.py b/google/cloud/aiplatform_v1/types/model_service.py
index b7908b507d..f734c409f1 100644
--- a/google/cloud/aiplatform_v1/types/model_service.py
+++ b/google/cloud/aiplatform_v1/types/model_service.py
@@ -13,11 +13,14 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
 
 from google.cloud.aiplatform_v1.types import encryption_spec as gca_encryption_spec
+from google.cloud.aiplatform_v1.types import evaluated_annotation
 from google.cloud.aiplatform_v1.types import io
 from google.cloud.aiplatform_v1.types import model as gca_model
 from google.cloud.aiplatform_v1.types import model_evaluation as gca_model_evaluation
@@ -50,6 +53,8 @@
         "ImportModelEvaluationRequest",
         "BatchImportModelEvaluationSlicesRequest",
         "BatchImportModelEvaluationSlicesResponse",
+        "BatchImportEvaluatedAnnotationsRequest",
+        "BatchImportEvaluatedAnnotationsResponse",
         "GetModelEvaluationRequest",
         "ListModelEvaluationsRequest",
         "ListModelEvaluationsResponse",
@@ -813,6 +818,49 @@ class BatchImportModelEvaluationSlicesResponse(proto.Message):
     )
 
 
+class BatchImportEvaluatedAnnotationsRequest(proto.Message):
+    r"""Request message for
+    [ModelService.BatchImportEvaluatedAnnotations][google.cloud.aiplatform.v1.ModelService.BatchImportEvaluatedAnnotations]
+
+    Attributes:
+        parent (str):
+            Required. The name of the parent ModelEvaluationSlice
+            resource. Format:
+            ``projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}``
+        evaluated_annotations (MutableSequence[google.cloud.aiplatform_v1.types.EvaluatedAnnotation]):
+            Required. Evaluated annotations resource to
+            be imported.
+    """
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    evaluated_annotations: MutableSequence[
+        evaluated_annotation.EvaluatedAnnotation
+    ] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=2,
+        message=evaluated_annotation.EvaluatedAnnotation,
+    )
+
+
+class BatchImportEvaluatedAnnotationsResponse(proto.Message):
+    r"""Response message for
+    [ModelService.BatchImportEvaluatedAnnotations][google.cloud.aiplatform.v1.ModelService.BatchImportEvaluatedAnnotations]
+
+    Attributes:
+        imported_evaluated_annotations_count (int):
+            Output only. Number of EvaluatedAnnotations
+            imported.
+    """
+
+    imported_evaluated_annotations_count: int = proto.Field(
+        proto.INT32,
+        number=1,
+    )
+
+
 class GetModelEvaluationRequest(proto.Message):
     r"""Request message for
     [ModelService.GetModelEvaluation][google.cloud.aiplatform.v1.ModelService.GetModelEvaluation].
diff --git a/google/cloud/aiplatform_v1/types/nas_job.py b/google/cloud/aiplatform_v1/types/nas_job.py
index e329d6e5cc..1cefd742f2 100644
--- a/google/cloud/aiplatform_v1/types/nas_job.py
+++ b/google/cloud/aiplatform_v1/types/nas_job.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/operation.py b/google/cloud/aiplatform_v1/types/operation.py
index 08be90463c..78fab63c3b 100644
--- a/google/cloud/aiplatform_v1/types/operation.py
+++ b/google/cloud/aiplatform_v1/types/operation.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/pipeline_failure_policy.py b/google/cloud/aiplatform_v1/types/pipeline_failure_policy.py
index 1be16c4d84..3181e2a899 100644
--- a/google/cloud/aiplatform_v1/types/pipeline_failure_policy.py
+++ b/google/cloud/aiplatform_v1/types/pipeline_failure_policy.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/pipeline_job.py b/google/cloud/aiplatform_v1/types/pipeline_job.py
index c601da9935..cd26661907 100644
--- a/google/cloud/aiplatform_v1/types/pipeline_job.py
+++ b/google/cloud/aiplatform_v1/types/pipeline_job.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/pipeline_service.py b/google/cloud/aiplatform_v1/types/pipeline_service.py
index 76c1cd1d72..8ba8a1b2ef 100644
--- a/google/cloud/aiplatform_v1/types/pipeline_service.py
+++ b/google/cloud/aiplatform_v1/types/pipeline_service.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/pipeline_state.py b/google/cloud/aiplatform_v1/types/pipeline_state.py
index 67f6c62bb0..75e5950825 100644
--- a/google/cloud/aiplatform_v1/types/pipeline_state.py
+++ b/google/cloud/aiplatform_v1/types/pipeline_state.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/prediction_service.py b/google/cloud/aiplatform_v1/types/prediction_service.py
index 94c314a254..24e6501dbd 100644
--- a/google/cloud/aiplatform_v1/types/prediction_service.py
+++ b/google/cloud/aiplatform_v1/types/prediction_service.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/saved_query.py b/google/cloud/aiplatform_v1/types/saved_query.py
index 12d00cdb3e..d0f0c036e7 100644
--- a/google/cloud/aiplatform_v1/types/saved_query.py
+++ b/google/cloud/aiplatform_v1/types/saved_query.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/service_networking.py b/google/cloud/aiplatform_v1/types/service_networking.py
index 445cc3b34e..f6d484bccb 100644
--- a/google/cloud/aiplatform_v1/types/service_networking.py
+++ b/google/cloud/aiplatform_v1/types/service_networking.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/specialist_pool.py b/google/cloud/aiplatform_v1/types/specialist_pool.py
index 79e8e57952..ed371fe56b 100644
--- a/google/cloud/aiplatform_v1/types/specialist_pool.py
+++ b/google/cloud/aiplatform_v1/types/specialist_pool.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/specialist_pool_service.py b/google/cloud/aiplatform_v1/types/specialist_pool_service.py
index 9bbfb84b05..3bf16abee7 100644
--- a/google/cloud/aiplatform_v1/types/specialist_pool_service.py
+++ b/google/cloud/aiplatform_v1/types/specialist_pool_service.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/study.py b/google/cloud/aiplatform_v1/types/study.py
index 8b7bb413a9..f038d52130 100644
--- a/google/cloud/aiplatform_v1/types/study.py
+++ b/google/cloud/aiplatform_v1/types/study.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/tensorboard.py b/google/cloud/aiplatform_v1/types/tensorboard.py
index 7faeee47a6..c8ce1105fa 100644
--- a/google/cloud/aiplatform_v1/types/tensorboard.py
+++ b/google/cloud/aiplatform_v1/types/tensorboard.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/tensorboard_data.py b/google/cloud/aiplatform_v1/types/tensorboard_data.py
index 76db12e683..cad82c4128 100644
--- a/google/cloud/aiplatform_v1/types/tensorboard_data.py
+++ b/google/cloud/aiplatform_v1/types/tensorboard_data.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/tensorboard_experiment.py b/google/cloud/aiplatform_v1/types/tensorboard_experiment.py
index e727ed5721..20ee6abc85 100644
--- a/google/cloud/aiplatform_v1/types/tensorboard_experiment.py
+++ b/google/cloud/aiplatform_v1/types/tensorboard_experiment.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/tensorboard_run.py b/google/cloud/aiplatform_v1/types/tensorboard_run.py
index 05034a9740..f2ad4331b5 100644
--- a/google/cloud/aiplatform_v1/types/tensorboard_run.py
+++ b/google/cloud/aiplatform_v1/types/tensorboard_run.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/tensorboard_service.py b/google/cloud/aiplatform_v1/types/tensorboard_service.py
index c3fe60e2a6..a159126822 100644
--- a/google/cloud/aiplatform_v1/types/tensorboard_service.py
+++ b/google/cloud/aiplatform_v1/types/tensorboard_service.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
@@ -137,7 +139,8 @@ class ReadTensorboardUsageRequest(proto.Message):
 
 
 class ReadTensorboardUsageResponse(proto.Message):
-    r"""Response message for [TensorboardService.GetTensorboardUsage][].
+    r"""Response message for
+    [TensorboardService.ReadTensorboardUsage][google.cloud.aiplatform.v1.TensorboardService.ReadTensorboardUsage].
 
     Attributes:
         monthly_usage_data (MutableMapping[str, google.cloud.aiplatform_v1.types.ReadTensorboardUsageResponse.PerMonthUsageData]):
diff --git a/google/cloud/aiplatform_v1/types/tensorboard_time_series.py b/google/cloud/aiplatform_v1/types/tensorboard_time_series.py
index c19ad228f3..ae83a3b7fd 100644
--- a/google/cloud/aiplatform_v1/types/tensorboard_time_series.py
+++ b/google/cloud/aiplatform_v1/types/tensorboard_time_series.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/training_pipeline.py b/google/cloud/aiplatform_v1/types/training_pipeline.py
index d35a71bdfe..9e8451ed3a 100644
--- a/google/cloud/aiplatform_v1/types/training_pipeline.py
+++ b/google/cloud/aiplatform_v1/types/training_pipeline.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/types.py b/google/cloud/aiplatform_v1/types/types.py
index 48a05a0b8b..38d2bd6534 100644
--- a/google/cloud/aiplatform_v1/types/types.py
+++ b/google/cloud/aiplatform_v1/types/types.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/unmanaged_container_model.py b/google/cloud/aiplatform_v1/types/unmanaged_container_model.py
index e09693e990..3ca22d4283 100644
--- a/google/cloud/aiplatform_v1/types/unmanaged_container_model.py
+++ b/google/cloud/aiplatform_v1/types/unmanaged_container_model.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/user_action_reference.py b/google/cloud/aiplatform_v1/types/user_action_reference.py
index 92e3bee7f2..3402c1e234 100644
--- a/google/cloud/aiplatform_v1/types/user_action_reference.py
+++ b/google/cloud/aiplatform_v1/types/user_action_reference.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/value.py b/google/cloud/aiplatform_v1/types/value.py
index e143858ef2..8b0c8a9d77 100644
--- a/google/cloud/aiplatform_v1/types/value.py
+++ b/google/cloud/aiplatform_v1/types/value.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1/types/vizier_service.py b/google/cloud/aiplatform_v1/types/vizier_service.py
index 6d6bdd6df1..d49ac6edbb 100644
--- a/google/cloud/aiplatform_v1/types/vizier_service.py
+++ b/google/cloud/aiplatform_v1/types/vizier_service.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/__init__.py b/google/cloud/aiplatform_v1beta1/__init__.py
index e39acefb79..0be82c668c 100644
--- a/google/cloud/aiplatform_v1beta1/__init__.py
+++ b/google/cloud/aiplatform_v1beta1/__init__.py
@@ -42,6 +42,8 @@
 from .services.index_service import IndexServiceAsyncClient
 from .services.job_service import JobServiceClient
 from .services.job_service import JobServiceAsyncClient
+from .services.match_service import MatchServiceClient
+from .services.match_service import MatchServiceAsyncClient
 from .services.metadata_service import MetadataServiceClient
 from .services.metadata_service import MetadataServiceAsyncClient
 from .services.migration_service import MigrationServiceClient
@@ -79,6 +81,7 @@
 from .types.data_labeling_job import TrainingConfig
 from .types.dataset import Dataset
 from .types.dataset import ExportDataConfig
+from .types.dataset import ExportFractionSplit
 from .types.dataset import ImportDataConfig
 from .types.dataset_service import CreateDatasetOperationMetadata
 from .types.dataset_service import CreateDatasetRequest
@@ -139,6 +142,9 @@
 from .types.endpoint_service import UpdateEndpointRequest
 from .types.entity_type import EntityType
 from .types.env_var import EnvVar
+from .types.evaluated_annotation import ErrorAnalysisAnnotation
+from .types.evaluated_annotation import EvaluatedAnnotation
+from .types.evaluated_annotation import EvaluatedAnnotationExplanation
 from .types.event import Event
 from .types.execution import Execution
 from .types.explanation import Attribution
@@ -317,6 +323,10 @@
 from .types.machine_resources import NfsMount
 from .types.machine_resources import ResourcesConsumed
 from .types.manual_batch_tuning_parameters import ManualBatchTuningParameters
+from .types.match_service import FindNeighborsRequest
+from .types.match_service import FindNeighborsResponse
+from .types.match_service import ReadIndexDatapointsRequest
+from .types.match_service import ReadIndexDatapointsResponse
 from .types.metadata_schema import MetadataSchema
 from .types.metadata_service import AddContextArtifactsAndExecutionsRequest
 from .types.metadata_service import AddContextArtifactsAndExecutionsResponse
@@ -402,6 +412,8 @@
 from .types.model_monitoring import ModelMonitoringObjectiveConfig
 from .types.model_monitoring import SamplingStrategy
 from .types.model_monitoring import ThresholdConfig
+from .types.model_service import BatchImportEvaluatedAnnotationsRequest
+from .types.model_service import BatchImportEvaluatedAnnotationsResponse
 from .types.model_service import BatchImportModelEvaluationSlicesRequest
 from .types.model_service import BatchImportModelEvaluationSlicesResponse
 from .types.model_service import CopyModelOperationMetadata
@@ -578,6 +590,7 @@
     "IndexEndpointServiceAsyncClient",
     "IndexServiceAsyncClient",
     "JobServiceAsyncClient",
+    "MatchServiceAsyncClient",
     "MetadataServiceAsyncClient",
     "MigrationServiceAsyncClient",
     "ModelServiceAsyncClient",
@@ -610,6 +623,8 @@
     "BatchCreateTensorboardTimeSeriesRequest",
     "BatchCreateTensorboardTimeSeriesResponse",
     "BatchDedicatedResources",
+    "BatchImportEvaluatedAnnotationsRequest",
+    "BatchImportEvaluatedAnnotationsResponse",
     "BatchImportModelEvaluationSlicesRequest",
     "BatchImportModelEvaluationSlicesResponse",
     "BatchMigrateResourcesOperationMetadata",
@@ -748,6 +763,9 @@
     "EntityIdSelector",
     "EntityType",
     "EnvVar",
+    "ErrorAnalysisAnnotation",
+    "EvaluatedAnnotation",
+    "EvaluatedAnnotationExplanation",
     "Event",
     "Examples",
     "ExamplesOverride",
@@ -768,6 +786,7 @@
     "ExportFeatureValuesOperationMetadata",
     "ExportFeatureValuesRequest",
     "ExportFeatureValuesResponse",
+    "ExportFractionSplit",
     "ExportModelOperationMetadata",
     "ExportModelRequest",
     "ExportModelResponse",
@@ -785,6 +804,8 @@
     "FeaturestoreOnlineServingServiceClient",
     "FeaturestoreServiceClient",
     "FilterSplit",
+    "FindNeighborsRequest",
+    "FindNeighborsResponse",
     "FractionSplit",
     "GcsDestination",
     "GcsSource",
@@ -922,6 +943,7 @@
     "LookupStudyRequest",
     "MachineSpec",
     "ManualBatchTuningParameters",
+    "MatchServiceClient",
     "Measurement",
     "MergeVersionAliasesRequest",
     "MetadataSchema",
@@ -995,6 +1017,8 @@
     "RawPredictRequest",
     "ReadFeatureValuesRequest",
     "ReadFeatureValuesResponse",
+    "ReadIndexDatapointsRequest",
+    "ReadIndexDatapointsResponse",
     "ReadTensorboardBlobDataRequest",
     "ReadTensorboardBlobDataResponse",
     "ReadTensorboardTimeSeriesDataRequest",
diff --git a/google/cloud/aiplatform_v1beta1/gapic_metadata.json b/google/cloud/aiplatform_v1beta1/gapic_metadata.json
index 51bff26159..8150fd58c5 100644
--- a/google/cloud/aiplatform_v1beta1/gapic_metadata.json
+++ b/google/cloud/aiplatform_v1beta1/gapic_metadata.json
@@ -1097,6 +1097,40 @@
         }
       }
     },
+    "MatchService": {
+      "clients": {
+        "grpc": {
+          "libraryClient": "MatchServiceClient",
+          "rpcs": {
+            "FindNeighbors": {
+              "methods": [
+                "find_neighbors"
+              ]
+            },
+            "ReadIndexDatapoints": {
+              "methods": [
+                "read_index_datapoints"
+              ]
+            }
+          }
+        },
+        "grpc-async": {
+          "libraryClient": "MatchServiceAsyncClient",
+          "rpcs": {
+            "FindNeighbors": {
+              "methods": [
+                "find_neighbors"
+              ]
+            },
+            "ReadIndexDatapoints": {
+              "methods": [
+                "read_index_datapoints"
+              ]
+            }
+          }
+        }
+      }
+    },
     "MetadataService": {
       "clients": {
         "grpc": {
@@ -1470,6 +1504,11 @@
         "grpc": {
           "libraryClient": "ModelServiceClient",
           "rpcs": {
+            "BatchImportEvaluatedAnnotations": {
+              "methods": [
+                "batch_import_evaluated_annotations"
+              ]
+            },
             "BatchImportModelEvaluationSlices": {
               "methods": [
                 "batch_import_model_evaluation_slices"
@@ -1560,6 +1599,11 @@
         "grpc-async": {
           "libraryClient": "ModelServiceAsyncClient",
           "rpcs": {
+            "BatchImportEvaluatedAnnotations": {
+              "methods": [
+                "batch_import_evaluated_annotations"
+              ]
+            },
             "BatchImportModelEvaluationSlices": {
               "methods": [
                 "batch_import_model_evaluation_slices"
diff --git a/google/cloud/aiplatform_v1beta1/services/match_service/__init__.py b/google/cloud/aiplatform_v1beta1/services/match_service/__init__.py
new file mode 100644
index 0000000000..1ec438ec3e
--- /dev/null
+++ b/google/cloud/aiplatform_v1beta1/services/match_service/__init__.py
@@ -0,0 +1,22 @@
+# -*- coding: utf-8 -*-
+# Copyright 2022 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from .client import MatchServiceClient
+from .async_client import MatchServiceAsyncClient
+
+__all__ = (
+    "MatchServiceClient",
+    "MatchServiceAsyncClient",
+)
diff --git a/google/cloud/aiplatform_v1beta1/services/match_service/async_client.py b/google/cloud/aiplatform_v1beta1/services/match_service/async_client.py
new file mode 100644
index 0000000000..78953f3df8
--- /dev/null
+++ b/google/cloud/aiplatform_v1beta1/services/match_service/async_client.py
@@ -0,0 +1,1084 @@
+# -*- coding: utf-8 -*-
+# Copyright 2022 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from collections import OrderedDict
+import functools
+import re
+from typing import (
+    Dict,
+    Mapping,
+    MutableMapping,
+    MutableSequence,
+    Optional,
+    Sequence,
+    Tuple,
+    Type,
+    Union,
+)
+
+from google.cloud.aiplatform_v1beta1 import gapic_version as package_version
+
+from google.api_core.client_options import ClientOptions
+from google.api_core import exceptions as core_exceptions
+from google.api_core import gapic_v1
+from google.api_core import retry as retries
+from google.auth import credentials as ga_credentials  # type: ignore
+from google.oauth2 import service_account  # type: ignore
+
+try:
+    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault]
+except AttributeError:  # pragma: NO COVER
+    OptionalRetry = Union[retries.Retry, object]  # type: ignore
+
+from google.cloud.aiplatform_v1beta1.types import index
+from google.cloud.aiplatform_v1beta1.types import match_service
+from google.cloud.location import locations_pb2  # type: ignore
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+from google.iam.v1 import policy_pb2  # type: ignore
+from google.longrunning import operations_pb2
+from .transports.base import MatchServiceTransport, DEFAULT_CLIENT_INFO
+from .transports.grpc_asyncio import MatchServiceGrpcAsyncIOTransport
+from .client import MatchServiceClient
+
+
+class MatchServiceAsyncClient:
+    """MatchService is a Google managed service for efficient vector
+    similarity search at scale.
+    """
+
+    _client: MatchServiceClient
+
+    DEFAULT_ENDPOINT = MatchServiceClient.DEFAULT_ENDPOINT
+    DEFAULT_MTLS_ENDPOINT = MatchServiceClient.DEFAULT_MTLS_ENDPOINT
+
+    index_endpoint_path = staticmethod(MatchServiceClient.index_endpoint_path)
+    parse_index_endpoint_path = staticmethod(
+        MatchServiceClient.parse_index_endpoint_path
+    )
+    common_billing_account_path = staticmethod(
+        MatchServiceClient.common_billing_account_path
+    )
+    parse_common_billing_account_path = staticmethod(
+        MatchServiceClient.parse_common_billing_account_path
+    )
+    common_folder_path = staticmethod(MatchServiceClient.common_folder_path)
+    parse_common_folder_path = staticmethod(MatchServiceClient.parse_common_folder_path)
+    common_organization_path = staticmethod(MatchServiceClient.common_organization_path)
+    parse_common_organization_path = staticmethod(
+        MatchServiceClient.parse_common_organization_path
+    )
+    common_project_path = staticmethod(MatchServiceClient.common_project_path)
+    parse_common_project_path = staticmethod(
+        MatchServiceClient.parse_common_project_path
+    )
+    common_location_path = staticmethod(MatchServiceClient.common_location_path)
+    parse_common_location_path = staticmethod(
+        MatchServiceClient.parse_common_location_path
+    )
+
+    @classmethod
+    def from_service_account_info(cls, info: dict, *args, **kwargs):
+        """Creates an instance of this client using the provided credentials
+            info.
+
+        Args:
+            info (dict): The service account private key info.
+            args: Additional arguments to pass to the constructor.
+            kwargs: Additional arguments to pass to the constructor.
+
+        Returns:
+            MatchServiceAsyncClient: The constructed client.
+        """
+        return MatchServiceClient.from_service_account_info.__func__(MatchServiceAsyncClient, info, *args, **kwargs)  # type: ignore
+
+    @classmethod
+    def from_service_account_file(cls, filename: str, *args, **kwargs):
+        """Creates an instance of this client using the provided credentials
+            file.
+
+        Args:
+            filename (str): The path to the service account private key json
+                file.
+            args: Additional arguments to pass to the constructor.
+            kwargs: Additional arguments to pass to the constructor.
+
+        Returns:
+            MatchServiceAsyncClient: The constructed client.
+        """
+        return MatchServiceClient.from_service_account_file.__func__(MatchServiceAsyncClient, filename, *args, **kwargs)  # type: ignore
+
+    from_service_account_json = from_service_account_file
+
+    @classmethod
+    def get_mtls_endpoint_and_cert_source(
+        cls, client_options: Optional[ClientOptions] = None
+    ):
+        """Return the API endpoint and client cert source for mutual TLS.
+
+        The client cert source is determined in the following order:
+        (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the
+        client cert source is None.
+        (2) if `client_options.client_cert_source` is provided, use the provided one; if the
+        default client cert source exists, use the default one; otherwise the client cert
+        source is None.
+
+        The API endpoint is determined in the following order:
+        (1) if `client_options.api_endpoint` if provided, use the provided one.
+        (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the
+        default mTLS endpoint; if the environment variable is "never", use the default API
+        endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
+        use the default API endpoint.
+
+        More details can be found at https://google.aip.dev/auth/4114.
+
+        Args:
+            client_options (google.api_core.client_options.ClientOptions): Custom options for the
+                client. Only the `api_endpoint` and `client_cert_source` properties may be used
+                in this method.
+
+        Returns:
+            Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the
+                client cert source to use.
+
+        Raises:
+            google.auth.exceptions.MutualTLSChannelError: If any errors happen.
+        """
+        return MatchServiceClient.get_mtls_endpoint_and_cert_source(client_options)  # type: ignore
+
+    @property
+    def transport(self) -> MatchServiceTransport:
+        """Returns the transport used by the client instance.
+
+        Returns:
+            MatchServiceTransport: The transport used by the client instance.
+        """
+        return self._client.transport
+
+    get_transport_class = functools.partial(
+        type(MatchServiceClient).get_transport_class, type(MatchServiceClient)
+    )
+
+    def __init__(
+        self,
+        *,
+        credentials: Optional[ga_credentials.Credentials] = None,
+        transport: Union[str, MatchServiceTransport] = "grpc_asyncio",
+        client_options: Optional[ClientOptions] = None,
+        client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
+    ) -> None:
+        """Instantiates the match service client.
+
+        Args:
+            credentials (Optional[google.auth.credentials.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify the application to the service; if none
+                are specified, the client will attempt to ascertain the
+                credentials from the environment.
+            transport (Union[str, ~.MatchServiceTransport]): The
+                transport to use. If set to None, a transport is chosen
+                automatically.
+            client_options (ClientOptions): Custom options for the client. It
+                won't take effect if a ``transport`` instance is provided.
+                (1) The ``api_endpoint`` property can be used to override the
+                default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT
+                environment variable can also be used to override the endpoint:
+                "always" (always use the default mTLS endpoint), "never" (always
+                use the default regular endpoint) and "auto" (auto switch to the
+                default mTLS endpoint if client certificate is present, this is
+                the default value). However, the ``api_endpoint`` property takes
+                precedence if provided.
+                (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
+                is "true", then the ``client_cert_source`` property can be used
+                to provide client certificate for mutual TLS transport. If
+                not provided, the default SSL client certificate will be used if
+                present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not
+                set, no client certificate will be used.
+
+        Raises:
+            google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport
+                creation failed for any reason.
+        """
+        self._client = MatchServiceClient(
+            credentials=credentials,
+            transport=transport,
+            client_options=client_options,
+            client_info=client_info,
+        )
+
+    async def find_neighbors(
+        self,
+        request: Optional[Union[match_service.FindNeighborsRequest, dict]] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> match_service.FindNeighborsResponse:
+        r"""Finds the nearest neighbors of each vector within the
+        request.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import aiplatform_v1beta1
+
+            async def sample_find_neighbors():
+                # Create a client
+                client = aiplatform_v1beta1.MatchServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = aiplatform_v1beta1.FindNeighborsRequest(
+                    index_endpoint="index_endpoint_value",
+                )
+
+                # Make the request
+                response = await client.find_neighbors(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.aiplatform_v1beta1.types.FindNeighborsRequest, dict]]):
+                The request object. The request message for
+                [MatchService.FindNeighbors][google.cloud.aiplatform.v1beta1.MatchService.FindNeighbors].
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.aiplatform_v1beta1.types.FindNeighborsResponse:
+                The response message for
+                   [MatchService.FindNeighbors][google.cloud.aiplatform.v1beta1.MatchService.FindNeighbors].
+
+        """
+        # Create or coerce a protobuf request object.
+        request = match_service.FindNeighborsRequest(request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = gapic_v1.method_async.wrap_method(
+            self._client._transport.find_neighbors,
+            default_timeout=None,
+            client_info=DEFAULT_CLIENT_INFO,
+        )
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("index_endpoint", request.index_endpoint),)
+            ),
+        )
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def read_index_datapoints(
+        self,
+        request: Optional[Union[match_service.ReadIndexDatapointsRequest, dict]] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> match_service.ReadIndexDatapointsResponse:
+        r"""Reads the datapoints/vectors of the given IDs.
+        A maximum of 1000 datapoints can be retrieved in a
+        batch.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import aiplatform_v1beta1
+
+            async def sample_read_index_datapoints():
+                # Create a client
+                client = aiplatform_v1beta1.MatchServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = aiplatform_v1beta1.ReadIndexDatapointsRequest(
+                    index_endpoint="index_endpoint_value",
+                )
+
+                # Make the request
+                response = await client.read_index_datapoints(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.aiplatform_v1beta1.types.ReadIndexDatapointsRequest, dict]]):
+                The request object. The request message for
+                [MatchService.ReadIndexDatapoints][google.cloud.aiplatform.v1beta1.MatchService.ReadIndexDatapoints].
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.aiplatform_v1beta1.types.ReadIndexDatapointsResponse:
+                The response message for
+                   [MatchService.ReadIndexDatapoints][google.cloud.aiplatform.v1beta1.MatchService.ReadIndexDatapoints].
+
+        """
+        # Create or coerce a protobuf request object.
+        request = match_service.ReadIndexDatapointsRequest(request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = gapic_v1.method_async.wrap_method(
+            self._client._transport.read_index_datapoints,
+            default_timeout=None,
+            client_info=DEFAULT_CLIENT_INFO,
+        )
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("index_endpoint", request.index_endpoint),)
+            ),
+        )
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def list_operations(
+        self,
+        request: Optional[operations_pb2.ListOperationsRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> operations_pb2.ListOperationsResponse:
+        r"""Lists operations that match the specified filter in the request.
+
+        Args:
+            request (:class:`~.operations_pb2.ListOperationsRequest`):
+                The request object. Request message for
+                `ListOperations` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.operations_pb2.ListOperationsResponse:
+                Response message for ``ListOperations`` method.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.ListOperationsRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = gapic_v1.method.wrap_method(
+            self._client._transport.list_operations,
+            default_timeout=None,
+            client_info=DEFAULT_CLIENT_INFO,
+        )
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
+        )
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def get_operation(
+        self,
+        request: Optional[operations_pb2.GetOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> operations_pb2.Operation:
+        r"""Gets the latest state of a long-running operation.
+
+        Args:
+            request (:class:`~.operations_pb2.GetOperationRequest`):
+                The request object. Request message for
+                `GetOperation` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.operations_pb2.Operation:
+                An ``Operation`` object.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.GetOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = gapic_v1.method.wrap_method(
+            self._client._transport.get_operation,
+            default_timeout=None,
+            client_info=DEFAULT_CLIENT_INFO,
+        )
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
+        )
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def delete_operation(
+        self,
+        request: Optional[operations_pb2.DeleteOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> None:
+        r"""Deletes a long-running operation.
+
+        This method indicates that the client is no longer interested
+        in the operation result. It does not cancel the operation.
+        If the server doesn't support this method, it returns
+        `google.rpc.Code.UNIMPLEMENTED`.
+
+        Args:
+            request (:class:`~.operations_pb2.DeleteOperationRequest`):
+                The request object. Request message for
+                `DeleteOperation` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            None
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.DeleteOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = gapic_v1.method.wrap_method(
+            self._client._transport.delete_operation,
+            default_timeout=None,
+            client_info=DEFAULT_CLIENT_INFO,
+        )
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
+        )
+
+        # Send the request.
+        await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+    async def cancel_operation(
+        self,
+        request: Optional[operations_pb2.CancelOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> None:
+        r"""Starts asynchronous cancellation on a long-running operation.
+
+        The server makes a best effort to cancel the operation, but success
+        is not guaranteed.  If the server doesn't support this method, it returns
+        `google.rpc.Code.UNIMPLEMENTED`.
+
+        Args:
+            request (:class:`~.operations_pb2.CancelOperationRequest`):
+                The request object. Request message for
+                `CancelOperation` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            None
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.CancelOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = gapic_v1.method.wrap_method(
+            self._client._transport.cancel_operation,
+            default_timeout=None,
+            client_info=DEFAULT_CLIENT_INFO,
+        )
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
+        )
+
+        # Send the request.
+        await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+    async def wait_operation(
+        self,
+        request: Optional[operations_pb2.WaitOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> operations_pb2.Operation:
+        r"""Waits until the specified long-running operation is done or reaches at most
+        a specified timeout, returning the latest state.
+
+        If the operation is already done, the latest state is immediately returned.
+        If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC
+        timeout is used.  If the server does not support this method, it returns
+        `google.rpc.Code.UNIMPLEMENTED`.
+
+        Args:
+            request (:class:`~.operations_pb2.WaitOperationRequest`):
+                The request object. Request message for
+                `WaitOperation` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.operations_pb2.Operation:
+                An ``Operation`` object.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.WaitOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = gapic_v1.method.wrap_method(
+            self._client._transport.wait_operation,
+            default_timeout=None,
+            client_info=DEFAULT_CLIENT_INFO,
+        )
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
+        )
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def set_iam_policy(
+        self,
+        request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> policy_pb2.Policy:
+        r"""Sets the IAM access control policy on the specified function.
+
+        Replaces any existing policy.
+
+        Args:
+            request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`):
+                The request object. Request message for `SetIamPolicy`
+                method.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.policy_pb2.Policy:
+                Defines an Identity and Access Management (IAM) policy.
+                It is used to specify access control policies for Cloud
+                Platform resources.
+                A ``Policy`` is a collection of ``bindings``. A
+                ``binding`` binds one or more ``members`` to a single
+                ``role``. Members can be user accounts, service
+                accounts, Google groups, and domains (such as G Suite).
+                A ``role`` is a named list of permissions (defined by
+                IAM or configured by users). A ``binding`` can
+                optionally specify a ``condition``, which is a logic
+                expression that further constrains the role binding
+                based on attributes about the request and/or target
+                resource.
+
+                **JSON Example**
+
+                ::
+
+                    {
+                      "bindings": [
+                        {
+                          "role": "roles/resourcemanager.organizationAdmin",
+                          "members": [
+                            "user:mike@example.com",
+                            "group:admins@example.com",
+                            "domain:google.com",
+                            "serviceAccount:my-project-id@appspot.gserviceaccount.com"
+                          ]
+                        },
+                        {
+                          "role": "roles/resourcemanager.organizationViewer",
+                          "members": ["user:eve@example.com"],
+                          "condition": {
+                            "title": "expirable access",
+                            "description": "Does not grant access after Sep 2020",
+                            "expression": "request.time <
+                            timestamp('2020-10-01T00:00:00.000Z')",
+                          }
+                        }
+                      ]
+                    }
+
+                **YAML Example**
+
+                ::
+
+                    bindings:
+                    - members:
+                      - user:mike@example.com
+                      - group:admins@example.com
+                      - domain:google.com
+                      - serviceAccount:my-project-id@appspot.gserviceaccount.com
+                      role: roles/resourcemanager.organizationAdmin
+                    - members:
+                      - user:eve@example.com
+                      role: roles/resourcemanager.organizationViewer
+                      condition:
+                        title: expirable access
+                        description: Does not grant access after Sep 2020
+                        expression: request.time < timestamp('2020-10-01T00:00:00.000Z')
+
+                For a description of IAM and its features, see the `IAM
+                developer's
+                guide <https://cloud.google.com/iam/docs>`__.
+        """
+        # Create or coerce a protobuf request object.
+
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = iam_policy_pb2.SetIamPolicyRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = gapic_v1.method.wrap_method(
+            self._client._transport.set_iam_policy,
+            default_timeout=None,
+            client_info=DEFAULT_CLIENT_INFO,
+        )
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)),
+        )
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def get_iam_policy(
+        self,
+        request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> policy_pb2.Policy:
+        r"""Gets the IAM access control policy for a function.
+
+        Returns an empty policy if the function exists and does not have a
+        policy set.
+
+        Args:
+            request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`):
+                The request object. Request message for `GetIamPolicy`
+                method.
+            retry (google.api_core.retry.Retry): Designation of what errors, if
+                any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.policy_pb2.Policy:
+                Defines an Identity and Access Management (IAM) policy.
+                It is used to specify access control policies for Cloud
+                Platform resources.
+                A ``Policy`` is a collection of ``bindings``. A
+                ``binding`` binds one or more ``members`` to a single
+                ``role``. Members can be user accounts, service
+                accounts, Google groups, and domains (such as G Suite).
+                A ``role`` is a named list of permissions (defined by
+                IAM or configured by users). A ``binding`` can
+                optionally specify a ``condition``, which is a logic
+                expression that further constrains the role binding
+                based on attributes about the request and/or target
+                resource.
+
+                **JSON Example**
+
+                ::
+
+                    {
+                      "bindings": [
+                        {
+                          "role": "roles/resourcemanager.organizationAdmin",
+                          "members": [
+                            "user:mike@example.com",
+                            "group:admins@example.com",
+                            "domain:google.com",
+                            "serviceAccount:my-project-id@appspot.gserviceaccount.com"
+                          ]
+                        },
+                        {
+                          "role": "roles/resourcemanager.organizationViewer",
+                          "members": ["user:eve@example.com"],
+                          "condition": {
+                            "title": "expirable access",
+                            "description": "Does not grant access after Sep 2020",
+                            "expression": "request.time <
+                            timestamp('2020-10-01T00:00:00.000Z')",
+                          }
+                        }
+                      ]
+                    }
+
+                **YAML Example**
+
+                ::
+
+                    bindings:
+                    - members:
+                      - user:mike@example.com
+                      - group:admins@example.com
+                      - domain:google.com
+                      - serviceAccount:my-project-id@appspot.gserviceaccount.com
+                      role: roles/resourcemanager.organizationAdmin
+                    - members:
+                      - user:eve@example.com
+                      role: roles/resourcemanager.organizationViewer
+                      condition:
+                        title: expirable access
+                        description: Does not grant access after Sep 2020
+                        expression: request.time < timestamp('2020-10-01T00:00:00.000Z')
+
+                For a description of IAM and its features, see the `IAM
+                developer's
+                guide <https://cloud.google.com/iam/docs>`__.
+        """
+        # Create or coerce a protobuf request object.
+
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = iam_policy_pb2.GetIamPolicyRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = gapic_v1.method.wrap_method(
+            self._client._transport.get_iam_policy,
+            default_timeout=None,
+            client_info=DEFAULT_CLIENT_INFO,
+        )
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)),
+        )
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def test_iam_permissions(
+        self,
+        request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> iam_policy_pb2.TestIamPermissionsResponse:
+        r"""Tests the specified IAM permissions against the IAM access control
+            policy for a function.
+
+        If the function does not exist, this will return an empty set
+        of permissions, not a NOT_FOUND error.
+
+        Args:
+            request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`):
+                The request object. Request message for
+                `TestIamPermissions` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                 if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.iam_policy_pb2.TestIamPermissionsResponse:
+                Response message for ``TestIamPermissions`` method.
+        """
+        # Create or coerce a protobuf request object.
+
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = iam_policy_pb2.TestIamPermissionsRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = gapic_v1.method.wrap_method(
+            self._client._transport.test_iam_permissions,
+            default_timeout=None,
+            client_info=DEFAULT_CLIENT_INFO,
+        )
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)),
+        )
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def get_location(
+        self,
+        request: Optional[locations_pb2.GetLocationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> locations_pb2.Location:
+        r"""Gets information about a location.
+
+        Args:
+            request (:class:`~.location_pb2.GetLocationRequest`):
+                The request object. Request message for
+                `GetLocation` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                 if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.location_pb2.Location:
+                Location object.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = locations_pb2.GetLocationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = gapic_v1.method.wrap_method(
+            self._client._transport.get_location,
+            default_timeout=None,
+            client_info=DEFAULT_CLIENT_INFO,
+        )
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
+        )
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def list_locations(
+        self,
+        request: Optional[locations_pb2.ListLocationsRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> locations_pb2.ListLocationsResponse:
+        r"""Lists information about the supported locations for this service.
+
+        Args:
+            request (:class:`~.location_pb2.ListLocationsRequest`):
+                The request object. Request message for
+                `ListLocations` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                 if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.location_pb2.ListLocationsResponse:
+                Response message for ``ListLocations`` method.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = locations_pb2.ListLocationsRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = gapic_v1.method.wrap_method(
+            self._client._transport.list_locations,
+            default_timeout=None,
+            client_info=DEFAULT_CLIENT_INFO,
+        )
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
+        )
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def __aenter__(self):
+        return self
+
+    async def __aexit__(self, exc_type, exc, tb):
+        await self.transport.close()
+
+
+DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(
+    gapic_version=package_version.__version__
+)
+
+
+__all__ = ("MatchServiceAsyncClient",)
diff --git a/google/cloud/aiplatform_v1beta1/services/match_service/client.py b/google/cloud/aiplatform_v1beta1/services/match_service/client.py
new file mode 100644
index 0000000000..e7de7c82ad
--- /dev/null
+++ b/google/cloud/aiplatform_v1beta1/services/match_service/client.py
@@ -0,0 +1,1320 @@
+# -*- coding: utf-8 -*-
+# Copyright 2022 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from collections import OrderedDict
+import os
+import re
+from typing import (
+    Dict,
+    Mapping,
+    MutableMapping,
+    MutableSequence,
+    Optional,
+    Sequence,
+    Tuple,
+    Type,
+    Union,
+    cast,
+)
+
+from google.cloud.aiplatform_v1beta1 import gapic_version as package_version
+
+from google.api_core import client_options as client_options_lib
+from google.api_core import exceptions as core_exceptions
+from google.api_core import gapic_v1
+from google.api_core import retry as retries
+from google.auth import credentials as ga_credentials  # type: ignore
+from google.auth.transport import mtls  # type: ignore
+from google.auth.transport.grpc import SslCredentials  # type: ignore
+from google.auth.exceptions import MutualTLSChannelError  # type: ignore
+from google.oauth2 import service_account  # type: ignore
+
+try:
+    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault]
+except AttributeError:  # pragma: NO COVER
+    OptionalRetry = Union[retries.Retry, object]  # type: ignore
+
+from google.cloud.aiplatform_v1beta1.types import index
+from google.cloud.aiplatform_v1beta1.types import match_service
+from google.cloud.location import locations_pb2  # type: ignore
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+from google.iam.v1 import policy_pb2  # type: ignore
+from google.longrunning import operations_pb2
+from .transports.base import MatchServiceTransport, DEFAULT_CLIENT_INFO
+from .transports.grpc import MatchServiceGrpcTransport
+from .transports.grpc_asyncio import MatchServiceGrpcAsyncIOTransport
+
+
+class MatchServiceClientMeta(type):
+    """Metaclass for the MatchService client.
+
+    This provides class-level methods for building and retrieving
+    support objects (e.g. transport) without polluting the client instance
+    objects.
+    """
+
+    _transport_registry = OrderedDict()  # type: Dict[str, Type[MatchServiceTransport]]
+    _transport_registry["grpc"] = MatchServiceGrpcTransport
+    _transport_registry["grpc_asyncio"] = MatchServiceGrpcAsyncIOTransport
+
+    def get_transport_class(
+        cls,
+        label: Optional[str] = None,
+    ) -> Type[MatchServiceTransport]:
+        """Returns an appropriate transport class.
+
+        Args:
+            label: The name of the desired transport. If none is
+                provided, then the first transport in the registry is used.
+
+        Returns:
+            The transport class to use.
+        """
+        # If a specific transport is requested, return that one.
+        if label:
+            return cls._transport_registry[label]
+
+        # No transport is requested; return the default (that is, the first one
+        # in the dictionary).
+        return next(iter(cls._transport_registry.values()))
+
+
+class MatchServiceClient(metaclass=MatchServiceClientMeta):
+    """MatchService is a Google managed service for efficient vector
+    similarity search at scale.
+    """
+
+    @staticmethod
+    def _get_default_mtls_endpoint(api_endpoint):
+        """Converts api endpoint to mTLS endpoint.
+
+        Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to
+        "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively.
+        Args:
+            api_endpoint (Optional[str]): the api endpoint to convert.
+        Returns:
+            str: converted mTLS api endpoint.
+        """
+        if not api_endpoint:
+            return api_endpoint
+
+        mtls_endpoint_re = re.compile(
+            r"(?P<name>[^.]+)(?P<mtls>\.mtls)?(?P<sandbox>\.sandbox)?(?P<googledomain>\.googleapis\.com)?"
+        )
+
+        m = mtls_endpoint_re.match(api_endpoint)
+        name, mtls, sandbox, googledomain = m.groups()
+        if mtls or not googledomain:
+            return api_endpoint
+
+        if sandbox:
+            return api_endpoint.replace(
+                "sandbox.googleapis.com", "mtls.sandbox.googleapis.com"
+            )
+
+        return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com")
+
+    DEFAULT_ENDPOINT = "aiplatform.googleapis.com"
+    DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__(  # type: ignore
+        DEFAULT_ENDPOINT
+    )
+
+    @classmethod
+    def from_service_account_info(cls, info: dict, *args, **kwargs):
+        """Creates an instance of this client using the provided credentials
+            info.
+
+        Args:
+            info (dict): The service account private key info.
+            args: Additional arguments to pass to the constructor.
+            kwargs: Additional arguments to pass to the constructor.
+
+        Returns:
+            MatchServiceClient: The constructed client.
+        """
+        credentials = service_account.Credentials.from_service_account_info(info)
+        kwargs["credentials"] = credentials
+        return cls(*args, **kwargs)
+
+    @classmethod
+    def from_service_account_file(cls, filename: str, *args, **kwargs):
+        """Creates an instance of this client using the provided credentials
+            file.
+
+        Args:
+            filename (str): The path to the service account private key json
+                file.
+            args: Additional arguments to pass to the constructor.
+            kwargs: Additional arguments to pass to the constructor.
+
+        Returns:
+            MatchServiceClient: The constructed client.
+        """
+        credentials = service_account.Credentials.from_service_account_file(filename)
+        kwargs["credentials"] = credentials
+        return cls(*args, **kwargs)
+
+    from_service_account_json = from_service_account_file
+
+    @property
+    def transport(self) -> MatchServiceTransport:
+        """Returns the transport used by the client instance.
+
+        Returns:
+            MatchServiceTransport: The transport used by the client
+                instance.
+        """
+        return self._transport
+
+    @staticmethod
+    def index_endpoint_path(
+        project: str,
+        location: str,
+        index_endpoint: str,
+    ) -> str:
+        """Returns a fully-qualified index_endpoint string."""
+        return "projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}".format(
+            project=project,
+            location=location,
+            index_endpoint=index_endpoint,
+        )
+
+    @staticmethod
+    def parse_index_endpoint_path(path: str) -> Dict[str, str]:
+        """Parses a index_endpoint path into its component segments."""
+        m = re.match(
+            r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/indexEndpoints/(?P<index_endpoint>.+?)$",
+            path,
+        )
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def common_billing_account_path(
+        billing_account: str,
+    ) -> str:
+        """Returns a fully-qualified billing_account string."""
+        return "billingAccounts/{billing_account}".format(
+            billing_account=billing_account,
+        )
+
+    @staticmethod
+    def parse_common_billing_account_path(path: str) -> Dict[str, str]:
+        """Parse a billing_account path into its component segments."""
+        m = re.match(r"^billingAccounts/(?P<billing_account>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def common_folder_path(
+        folder: str,
+    ) -> str:
+        """Returns a fully-qualified folder string."""
+        return "folders/{folder}".format(
+            folder=folder,
+        )
+
+    @staticmethod
+    def parse_common_folder_path(path: str) -> Dict[str, str]:
+        """Parse a folder path into its component segments."""
+        m = re.match(r"^folders/(?P<folder>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def common_organization_path(
+        organization: str,
+    ) -> str:
+        """Returns a fully-qualified organization string."""
+        return "organizations/{organization}".format(
+            organization=organization,
+        )
+
+    @staticmethod
+    def parse_common_organization_path(path: str) -> Dict[str, str]:
+        """Parse a organization path into its component segments."""
+        m = re.match(r"^organizations/(?P<organization>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def common_project_path(
+        project: str,
+    ) -> str:
+        """Returns a fully-qualified project string."""
+        return "projects/{project}".format(
+            project=project,
+        )
+
+    @staticmethod
+    def parse_common_project_path(path: str) -> Dict[str, str]:
+        """Parse a project path into its component segments."""
+        m = re.match(r"^projects/(?P<project>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @staticmethod
+    def common_location_path(
+        project: str,
+        location: str,
+    ) -> str:
+        """Returns a fully-qualified location string."""
+        return "projects/{project}/locations/{location}".format(
+            project=project,
+            location=location,
+        )
+
+    @staticmethod
+    def parse_common_location_path(path: str) -> Dict[str, str]:
+        """Parse a location path into its component segments."""
+        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)$", path)
+        return m.groupdict() if m else {}
+
+    @classmethod
+    def get_mtls_endpoint_and_cert_source(
+        cls, client_options: Optional[client_options_lib.ClientOptions] = None
+    ):
+        """Return the API endpoint and client cert source for mutual TLS.
+
+        The client cert source is determined in the following order:
+        (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the
+        client cert source is None.
+        (2) if `client_options.client_cert_source` is provided, use the provided one; if the
+        default client cert source exists, use the default one; otherwise the client cert
+        source is None.
+
+        The API endpoint is determined in the following order:
+        (1) if `client_options.api_endpoint` if provided, use the provided one.
+        (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the
+        default mTLS endpoint; if the environment variable is "never", use the default API
+        endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
+        use the default API endpoint.
+
+        More details can be found at https://google.aip.dev/auth/4114.
+
+        Args:
+            client_options (google.api_core.client_options.ClientOptions): Custom options for the
+                client. Only the `api_endpoint` and `client_cert_source` properties may be used
+                in this method.
+
+        Returns:
+            Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the
+                client cert source to use.
+
+        Raises:
+            google.auth.exceptions.MutualTLSChannelError: If any errors happen.
+        """
+        if client_options is None:
+            client_options = client_options_lib.ClientOptions()
+        use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false")
+        use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto")
+        if use_client_cert not in ("true", "false"):
+            raise ValueError(
+                "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
+            )
+        if use_mtls_endpoint not in ("auto", "never", "always"):
+            raise MutualTLSChannelError(
+                "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
+            )
+
+        # Figure out the client cert source to use.
+        client_cert_source = None
+        if use_client_cert == "true":
+            if client_options.client_cert_source:
+                client_cert_source = client_options.client_cert_source
+            elif mtls.has_default_client_cert_source():
+                client_cert_source = mtls.default_client_cert_source()
+
+        # Figure out which api endpoint to use.
+        if client_options.api_endpoint is not None:
+            api_endpoint = client_options.api_endpoint
+        elif use_mtls_endpoint == "always" or (
+            use_mtls_endpoint == "auto" and client_cert_source
+        ):
+            api_endpoint = cls.DEFAULT_MTLS_ENDPOINT
+        else:
+            api_endpoint = cls.DEFAULT_ENDPOINT
+
+        return api_endpoint, client_cert_source
+
+    def __init__(
+        self,
+        *,
+        credentials: Optional[ga_credentials.Credentials] = None,
+        transport: Optional[Union[str, MatchServiceTransport]] = None,
+        client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None,
+        client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
+    ) -> None:
+        """Instantiates the match service client.
+
+        Args:
+            credentials (Optional[google.auth.credentials.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify the application to the service; if none
+                are specified, the client will attempt to ascertain the
+                credentials from the environment.
+            transport (Union[str, MatchServiceTransport]): The
+                transport to use. If set to None, a transport is chosen
+                automatically.
+            client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): Custom options for the
+                client. It won't take effect if a ``transport`` instance is provided.
+                (1) The ``api_endpoint`` property can be used to override the
+                default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT
+                environment variable can also be used to override the endpoint:
+                "always" (always use the default mTLS endpoint), "never" (always
+                use the default regular endpoint) and "auto" (auto switch to the
+                default mTLS endpoint if client certificate is present, this is
+                the default value). However, the ``api_endpoint`` property takes
+                precedence if provided.
+                (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
+                is "true", then the ``client_cert_source`` property can be used
+                to provide client certificate for mutual TLS transport. If
+                not provided, the default SSL client certificate will be used if
+                present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not
+                set, no client certificate will be used.
+            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
+                The client info used to send a user-agent string along with
+                API requests. If ``None``, then default info will be used.
+                Generally, you only need to set this if you're developing
+                your own client library.
+
+        Raises:
+            google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport
+                creation failed for any reason.
+        """
+        if isinstance(client_options, dict):
+            client_options = client_options_lib.from_dict(client_options)
+        if client_options is None:
+            client_options = client_options_lib.ClientOptions()
+        client_options = cast(client_options_lib.ClientOptions, client_options)
+
+        api_endpoint, client_cert_source_func = self.get_mtls_endpoint_and_cert_source(
+            client_options
+        )
+
+        api_key_value = getattr(client_options, "api_key", None)
+        if api_key_value and credentials:
+            raise ValueError(
+                "client_options.api_key and credentials are mutually exclusive"
+            )
+
+        # Save or instantiate the transport.
+        # Ordinarily, we provide the transport, but allowing a custom transport
+        # instance provides an extensibility point for unusual situations.
+        if isinstance(transport, MatchServiceTransport):
+            # transport is a MatchServiceTransport instance.
+            if credentials or client_options.credentials_file or api_key_value:
+                raise ValueError(
+                    "When providing a transport instance, "
+                    "provide its credentials directly."
+                )
+            if client_options.scopes:
+                raise ValueError(
+                    "When providing a transport instance, provide its scopes "
+                    "directly."
+                )
+            self._transport = transport
+        else:
+            import google.auth._default  # type: ignore
+
+            if api_key_value and hasattr(
+                google.auth._default, "get_api_key_credentials"
+            ):
+                credentials = google.auth._default.get_api_key_credentials(
+                    api_key_value
+                )
+
+            Transport = type(self).get_transport_class(transport)
+            self._transport = Transport(
+                credentials=credentials,
+                credentials_file=client_options.credentials_file,
+                host=api_endpoint,
+                scopes=client_options.scopes,
+                client_cert_source_for_mtls=client_cert_source_func,
+                quota_project_id=client_options.quota_project_id,
+                client_info=client_info,
+                always_use_jwt_access=True,
+                api_audience=client_options.api_audience,
+            )
+
+    def find_neighbors(
+        self,
+        request: Optional[Union[match_service.FindNeighborsRequest, dict]] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> match_service.FindNeighborsResponse:
+        r"""Finds the nearest neighbors of each vector within the
+        request.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import aiplatform_v1beta1
+
+            def sample_find_neighbors():
+                # Create a client
+                client = aiplatform_v1beta1.MatchServiceClient()
+
+                # Initialize request argument(s)
+                request = aiplatform_v1beta1.FindNeighborsRequest(
+                    index_endpoint="index_endpoint_value",
+                )
+
+                # Make the request
+                response = client.find_neighbors(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.aiplatform_v1beta1.types.FindNeighborsRequest, dict]):
+                The request object. The request message for
+                [MatchService.FindNeighbors][google.cloud.aiplatform.v1beta1.MatchService.FindNeighbors].
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.aiplatform_v1beta1.types.FindNeighborsResponse:
+                The response message for
+                   [MatchService.FindNeighbors][google.cloud.aiplatform.v1beta1.MatchService.FindNeighbors].
+
+        """
+        # Create or coerce a protobuf request object.
+        # Minor optimization to avoid making a copy if the user passes
+        # in a match_service.FindNeighborsRequest.
+        # There's no risk of modifying the input as we've already verified
+        # there are no flattened fields.
+        if not isinstance(request, match_service.FindNeighborsRequest):
+            request = match_service.FindNeighborsRequest(request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.find_neighbors]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("index_endpoint", request.index_endpoint),)
+            ),
+        )
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def read_index_datapoints(
+        self,
+        request: Optional[Union[match_service.ReadIndexDatapointsRequest, dict]] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> match_service.ReadIndexDatapointsResponse:
+        r"""Reads the datapoints/vectors of the given IDs.
+        A maximum of 1000 datapoints can be retrieved in a
+        batch.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import aiplatform_v1beta1
+
+            def sample_read_index_datapoints():
+                # Create a client
+                client = aiplatform_v1beta1.MatchServiceClient()
+
+                # Initialize request argument(s)
+                request = aiplatform_v1beta1.ReadIndexDatapointsRequest(
+                    index_endpoint="index_endpoint_value",
+                )
+
+                # Make the request
+                response = client.read_index_datapoints(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.aiplatform_v1beta1.types.ReadIndexDatapointsRequest, dict]):
+                The request object. The request message for
+                [MatchService.ReadIndexDatapoints][google.cloud.aiplatform.v1beta1.MatchService.ReadIndexDatapoints].
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.aiplatform_v1beta1.types.ReadIndexDatapointsResponse:
+                The response message for
+                   [MatchService.ReadIndexDatapoints][google.cloud.aiplatform.v1beta1.MatchService.ReadIndexDatapoints].
+
+        """
+        # Create or coerce a protobuf request object.
+        # Minor optimization to avoid making a copy if the user passes
+        # in a match_service.ReadIndexDatapointsRequest.
+        # There's no risk of modifying the input as we've already verified
+        # there are no flattened fields.
+        if not isinstance(request, match_service.ReadIndexDatapointsRequest):
+            request = match_service.ReadIndexDatapointsRequest(request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.read_index_datapoints]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata(
+                (("index_endpoint", request.index_endpoint),)
+            ),
+        )
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def __enter__(self) -> "MatchServiceClient":
+        return self
+
+    def __exit__(self, type, value, traceback):
+        """Releases underlying transport's resources.
+
+        .. warning::
+            ONLY use as a context manager if the transport is NOT shared
+            with other clients! Exiting the with block will CLOSE the transport
+            and may cause errors in other clients!
+        """
+        self.transport.close()
+
+    def list_operations(
+        self,
+        request: Optional[operations_pb2.ListOperationsRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> operations_pb2.ListOperationsResponse:
+        r"""Lists operations that match the specified filter in the request.
+
+        Args:
+            request (:class:`~.operations_pb2.ListOperationsRequest`):
+                The request object. Request message for
+                `ListOperations` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.operations_pb2.ListOperationsResponse:
+                Response message for ``ListOperations`` method.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.ListOperationsRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = gapic_v1.method.wrap_method(
+            self._transport.list_operations,
+            default_timeout=None,
+            client_info=DEFAULT_CLIENT_INFO,
+        )
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
+        )
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def get_operation(
+        self,
+        request: Optional[operations_pb2.GetOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> operations_pb2.Operation:
+        r"""Gets the latest state of a long-running operation.
+
+        Args:
+            request (:class:`~.operations_pb2.GetOperationRequest`):
+                The request object. Request message for
+                `GetOperation` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.operations_pb2.Operation:
+                An ``Operation`` object.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.GetOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = gapic_v1.method.wrap_method(
+            self._transport.get_operation,
+            default_timeout=None,
+            client_info=DEFAULT_CLIENT_INFO,
+        )
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
+        )
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def delete_operation(
+        self,
+        request: Optional[operations_pb2.DeleteOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> None:
+        r"""Deletes a long-running operation.
+
+        This method indicates that the client is no longer interested
+        in the operation result. It does not cancel the operation.
+        If the server doesn't support this method, it returns
+        `google.rpc.Code.UNIMPLEMENTED`.
+
+        Args:
+            request (:class:`~.operations_pb2.DeleteOperationRequest`):
+                The request object. Request message for
+                `DeleteOperation` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            None
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.DeleteOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = gapic_v1.method.wrap_method(
+            self._transport.delete_operation,
+            default_timeout=None,
+            client_info=DEFAULT_CLIENT_INFO,
+        )
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
+        )
+
+        # Send the request.
+        rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+    def cancel_operation(
+        self,
+        request: Optional[operations_pb2.CancelOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> None:
+        r"""Starts asynchronous cancellation on a long-running operation.
+
+        The server makes a best effort to cancel the operation, but success
+        is not guaranteed.  If the server doesn't support this method, it returns
+        `google.rpc.Code.UNIMPLEMENTED`.
+
+        Args:
+            request (:class:`~.operations_pb2.CancelOperationRequest`):
+                The request object. Request message for
+                `CancelOperation` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            None
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.CancelOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = gapic_v1.method.wrap_method(
+            self._transport.cancel_operation,
+            default_timeout=None,
+            client_info=DEFAULT_CLIENT_INFO,
+        )
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
+        )
+
+        # Send the request.
+        rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+    def wait_operation(
+        self,
+        request: Optional[operations_pb2.WaitOperationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> operations_pb2.Operation:
+        r"""Waits until the specified long-running operation is done or reaches at most
+        a specified timeout, returning the latest state.
+
+        If the operation is already done, the latest state is immediately returned.
+        If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC
+        timeout is used.  If the server does not support this method, it returns
+        `google.rpc.Code.UNIMPLEMENTED`.
+
+        Args:
+            request (:class:`~.operations_pb2.WaitOperationRequest`):
+                The request object. Request message for
+                `WaitOperation` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                    if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.operations_pb2.Operation:
+                An ``Operation`` object.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = operations_pb2.WaitOperationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = gapic_v1.method.wrap_method(
+            self._transport.wait_operation,
+            default_timeout=None,
+            client_info=DEFAULT_CLIENT_INFO,
+        )
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
+        )
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def set_iam_policy(
+        self,
+        request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> policy_pb2.Policy:
+        r"""Sets the IAM access control policy on the specified function.
+
+        Replaces any existing policy.
+
+        Args:
+            request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`):
+                The request object. Request message for `SetIamPolicy`
+                method.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.policy_pb2.Policy:
+                Defines an Identity and Access Management (IAM) policy.
+                It is used to specify access control policies for Cloud
+                Platform resources.
+                A ``Policy`` is a collection of ``bindings``. A
+                ``binding`` binds one or more ``members`` to a single
+                ``role``. Members can be user accounts, service
+                accounts, Google groups, and domains (such as G Suite).
+                A ``role`` is a named list of permissions (defined by
+                IAM or configured by users). A ``binding`` can
+                optionally specify a ``condition``, which is a logic
+                expression that further constrains the role binding
+                based on attributes about the request and/or target
+                resource.
+
+                **JSON Example**
+
+                ::
+
+                    {
+                      "bindings": [
+                        {
+                          "role": "roles/resourcemanager.organizationAdmin",
+                          "members": [
+                            "user:mike@example.com",
+                            "group:admins@example.com",
+                            "domain:google.com",
+                            "serviceAccount:my-project-id@appspot.gserviceaccount.com"
+                          ]
+                        },
+                        {
+                          "role": "roles/resourcemanager.organizationViewer",
+                          "members": ["user:eve@example.com"],
+                          "condition": {
+                            "title": "expirable access",
+                            "description": "Does not grant access after Sep 2020",
+                            "expression": "request.time <
+                            timestamp('2020-10-01T00:00:00.000Z')",
+                          }
+                        }
+                      ]
+                    }
+
+                **YAML Example**
+
+                ::
+
+                    bindings:
+                    - members:
+                      - user:mike@example.com
+                      - group:admins@example.com
+                      - domain:google.com
+                      - serviceAccount:my-project-id@appspot.gserviceaccount.com
+                      role: roles/resourcemanager.organizationAdmin
+                    - members:
+                      - user:eve@example.com
+                      role: roles/resourcemanager.organizationViewer
+                      condition:
+                        title: expirable access
+                        description: Does not grant access after Sep 2020
+                        expression: request.time < timestamp('2020-10-01T00:00:00.000Z')
+
+                For a description of IAM and its features, see the `IAM
+                developer's
+                guide <https://cloud.google.com/iam/docs>`__.
+        """
+        # Create or coerce a protobuf request object.
+
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = iam_policy_pb2.SetIamPolicyRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = gapic_v1.method.wrap_method(
+            self._transport.set_iam_policy,
+            default_timeout=None,
+            client_info=DEFAULT_CLIENT_INFO,
+        )
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)),
+        )
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def get_iam_policy(
+        self,
+        request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> policy_pb2.Policy:
+        r"""Gets the IAM access control policy for a function.
+
+        Returns an empty policy if the function exists and does not have a
+        policy set.
+
+        Args:
+            request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`):
+                The request object. Request message for `GetIamPolicy`
+                method.
+            retry (google.api_core.retry.Retry): Designation of what errors, if
+                any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.policy_pb2.Policy:
+                Defines an Identity and Access Management (IAM) policy.
+                It is used to specify access control policies for Cloud
+                Platform resources.
+                A ``Policy`` is a collection of ``bindings``. A
+                ``binding`` binds one or more ``members`` to a single
+                ``role``. Members can be user accounts, service
+                accounts, Google groups, and domains (such as G Suite).
+                A ``role`` is a named list of permissions (defined by
+                IAM or configured by users). A ``binding`` can
+                optionally specify a ``condition``, which is a logic
+                expression that further constrains the role binding
+                based on attributes about the request and/or target
+                resource.
+
+                **JSON Example**
+
+                ::
+
+                    {
+                      "bindings": [
+                        {
+                          "role": "roles/resourcemanager.organizationAdmin",
+                          "members": [
+                            "user:mike@example.com",
+                            "group:admins@example.com",
+                            "domain:google.com",
+                            "serviceAccount:my-project-id@appspot.gserviceaccount.com"
+                          ]
+                        },
+                        {
+                          "role": "roles/resourcemanager.organizationViewer",
+                          "members": ["user:eve@example.com"],
+                          "condition": {
+                            "title": "expirable access",
+                            "description": "Does not grant access after Sep 2020",
+                            "expression": "request.time <
+                            timestamp('2020-10-01T00:00:00.000Z')",
+                          }
+                        }
+                      ]
+                    }
+
+                **YAML Example**
+
+                ::
+
+                    bindings:
+                    - members:
+                      - user:mike@example.com
+                      - group:admins@example.com
+                      - domain:google.com
+                      - serviceAccount:my-project-id@appspot.gserviceaccount.com
+                      role: roles/resourcemanager.organizationAdmin
+                    - members:
+                      - user:eve@example.com
+                      role: roles/resourcemanager.organizationViewer
+                      condition:
+                        title: expirable access
+                        description: Does not grant access after Sep 2020
+                        expression: request.time < timestamp('2020-10-01T00:00:00.000Z')
+
+                For a description of IAM and its features, see the `IAM
+                developer's
+                guide <https://cloud.google.com/iam/docs>`__.
+        """
+        # Create or coerce a protobuf request object.
+
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = iam_policy_pb2.GetIamPolicyRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = gapic_v1.method.wrap_method(
+            self._transport.get_iam_policy,
+            default_timeout=None,
+            client_info=DEFAULT_CLIENT_INFO,
+        )
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)),
+        )
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def test_iam_permissions(
+        self,
+        request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> iam_policy_pb2.TestIamPermissionsResponse:
+        r"""Tests the specified IAM permissions against the IAM access control
+            policy for a function.
+
+        If the function does not exist, this will return an empty set
+        of permissions, not a NOT_FOUND error.
+
+        Args:
+            request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`):
+                The request object. Request message for
+                `TestIamPermissions` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                 if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.iam_policy_pb2.TestIamPermissionsResponse:
+                Response message for ``TestIamPermissions`` method.
+        """
+        # Create or coerce a protobuf request object.
+
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = iam_policy_pb2.TestIamPermissionsRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = gapic_v1.method.wrap_method(
+            self._transport.test_iam_permissions,
+            default_timeout=None,
+            client_info=DEFAULT_CLIENT_INFO,
+        )
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)),
+        )
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def get_location(
+        self,
+        request: Optional[locations_pb2.GetLocationRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> locations_pb2.Location:
+        r"""Gets information about a location.
+
+        Args:
+            request (:class:`~.location_pb2.GetLocationRequest`):
+                The request object. Request message for
+                `GetLocation` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                 if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.location_pb2.Location:
+                Location object.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = locations_pb2.GetLocationRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = gapic_v1.method.wrap_method(
+            self._transport.get_location,
+            default_timeout=None,
+            client_info=DEFAULT_CLIENT_INFO,
+        )
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
+        )
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    def list_locations(
+        self,
+        request: Optional[locations_pb2.ListLocationsRequest] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> locations_pb2.ListLocationsResponse:
+        r"""Lists information about the supported locations for this service.
+
+        Args:
+            request (:class:`~.location_pb2.ListLocationsRequest`):
+                The request object. Request message for
+                `ListLocations` method.
+            retry (google.api_core.retry.Retry): Designation of what errors,
+                 if any, should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+        Returns:
+            ~.location_pb2.ListLocationsResponse:
+                Response message for ``ListLocations`` method.
+        """
+        # Create or coerce a protobuf request object.
+        # The request isn't a proto-plus wrapped type,
+        # so it must be constructed via keyword expansion.
+        if isinstance(request, dict):
+            request = locations_pb2.ListLocationsRequest(**request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = gapic_v1.method.wrap_method(
+            self._transport.list_locations,
+            default_timeout=None,
+            client_info=DEFAULT_CLIENT_INFO,
+        )
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
+        )
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
+
+DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(
+    gapic_version=package_version.__version__
+)
+
+
+__all__ = ("MatchServiceClient",)
diff --git a/google/cloud/aiplatform_v1beta1/services/match_service/transports/__init__.py b/google/cloud/aiplatform_v1beta1/services/match_service/transports/__init__.py
new file mode 100644
index 0000000000..78cb8f5d68
--- /dev/null
+++ b/google/cloud/aiplatform_v1beta1/services/match_service/transports/__init__.py
@@ -0,0 +1,33 @@
+# -*- coding: utf-8 -*-
+# Copyright 2022 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from collections import OrderedDict
+from typing import Dict, Type
+
+from .base import MatchServiceTransport
+from .grpc import MatchServiceGrpcTransport
+from .grpc_asyncio import MatchServiceGrpcAsyncIOTransport
+
+
+# Compile a registry of transports.
+_transport_registry = OrderedDict()  # type: Dict[str, Type[MatchServiceTransport]]
+_transport_registry["grpc"] = MatchServiceGrpcTransport
+_transport_registry["grpc_asyncio"] = MatchServiceGrpcAsyncIOTransport
+
+__all__ = (
+    "MatchServiceTransport",
+    "MatchServiceGrpcTransport",
+    "MatchServiceGrpcAsyncIOTransport",
+)
diff --git a/google/cloud/aiplatform_v1beta1/services/match_service/transports/base.py b/google/cloud/aiplatform_v1beta1/services/match_service/transports/base.py
new file mode 100644
index 0000000000..f8dcb74813
--- /dev/null
+++ b/google/cloud/aiplatform_v1beta1/services/match_service/transports/base.py
@@ -0,0 +1,273 @@
+# -*- coding: utf-8 -*-
+# Copyright 2022 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+import abc
+from typing import Awaitable, Callable, Dict, Optional, Sequence, Union
+
+from google.cloud.aiplatform_v1beta1 import gapic_version as package_version
+
+import google.auth  # type: ignore
+import google.api_core
+from google.api_core import exceptions as core_exceptions
+from google.api_core import gapic_v1
+from google.api_core import retry as retries
+from google.auth import credentials as ga_credentials  # type: ignore
+from google.oauth2 import service_account  # type: ignore
+
+from google.cloud.aiplatform_v1beta1.types import match_service
+from google.cloud.location import locations_pb2  # type: ignore
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+from google.iam.v1 import policy_pb2  # type: ignore
+from google.longrunning import operations_pb2
+
+DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(
+    gapic_version=package_version.__version__
+)
+
+
+class MatchServiceTransport(abc.ABC):
+    """Abstract transport class for MatchService."""
+
+    AUTH_SCOPES = ("https://www.googleapis.com/auth/cloud-platform",)
+
+    DEFAULT_HOST: str = "aiplatform.googleapis.com"
+
+    def __init__(
+        self,
+        *,
+        host: str = DEFAULT_HOST,
+        credentials: Optional[ga_credentials.Credentials] = None,
+        credentials_file: Optional[str] = None,
+        scopes: Optional[Sequence[str]] = None,
+        quota_project_id: Optional[str] = None,
+        client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
+        always_use_jwt_access: Optional[bool] = False,
+        api_audience: Optional[str] = None,
+        **kwargs,
+    ) -> None:
+        """Instantiate the transport.
+
+        Args:
+            host (Optional[str]):
+                 The hostname to connect to.
+            credentials (Optional[google.auth.credentials.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify the application to the service; if none
+                are specified, the client will attempt to ascertain the
+                credentials from the environment.
+            credentials_file (Optional[str]): A file with credentials that can
+                be loaded with :func:`google.auth.load_credentials_from_file`.
+                This argument is mutually exclusive with credentials.
+            scopes (Optional[Sequence[str]]): A list of scopes.
+            quota_project_id (Optional[str]): An optional project to use for billing
+                and quota.
+            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
+                The client info used to send a user-agent string along with
+                API requests. If ``None``, then default info will be used.
+                Generally, you only need to set this if you're developing
+                your own client library.
+            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
+                be used for service account credentials.
+        """
+
+        scopes_kwargs = {"scopes": scopes, "default_scopes": self.AUTH_SCOPES}
+
+        # Save the scopes.
+        self._scopes = scopes
+
+        # If no credentials are provided, then determine the appropriate
+        # defaults.
+        if credentials and credentials_file:
+            raise core_exceptions.DuplicateCredentialArgs(
+                "'credentials_file' and 'credentials' are mutually exclusive"
+            )
+
+        if credentials_file is not None:
+            credentials, _ = google.auth.load_credentials_from_file(
+                credentials_file, **scopes_kwargs, quota_project_id=quota_project_id
+            )
+        elif credentials is None:
+            credentials, _ = google.auth.default(
+                **scopes_kwargs, quota_project_id=quota_project_id
+            )
+            # Don't apply audience if the credentials file passed from user.
+            if hasattr(credentials, "with_gdch_audience"):
+                credentials = credentials.with_gdch_audience(
+                    api_audience if api_audience else host
+                )
+
+        # If the credentials are service account credentials, then always try to use self signed JWT.
+        if (
+            always_use_jwt_access
+            and isinstance(credentials, service_account.Credentials)
+            and hasattr(service_account.Credentials, "with_always_use_jwt_access")
+        ):
+            credentials = credentials.with_always_use_jwt_access(True)
+
+        # Save the credentials.
+        self._credentials = credentials
+
+        # Save the hostname. Default to port 443 (HTTPS) if none is specified.
+        if ":" not in host:
+            host += ":443"
+        self._host = host
+
+    def _prep_wrapped_messages(self, client_info):
+        # Precompute the wrapped methods.
+        self._wrapped_methods = {
+            self.find_neighbors: gapic_v1.method.wrap_method(
+                self.find_neighbors,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+            self.read_index_datapoints: gapic_v1.method.wrap_method(
+                self.read_index_datapoints,
+                default_timeout=None,
+                client_info=client_info,
+            ),
+        }
+
+    def close(self):
+        """Closes resources associated with the transport.
+
+        .. warning::
+             Only call this method if the transport is NOT shared
+             with other clients - this may cause errors in other clients!
+        """
+        raise NotImplementedError()
+
+    @property
+    def find_neighbors(
+        self,
+    ) -> Callable[
+        [match_service.FindNeighborsRequest],
+        Union[
+            match_service.FindNeighborsResponse,
+            Awaitable[match_service.FindNeighborsResponse],
+        ],
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def read_index_datapoints(
+        self,
+    ) -> Callable[
+        [match_service.ReadIndexDatapointsRequest],
+        Union[
+            match_service.ReadIndexDatapointsResponse,
+            Awaitable[match_service.ReadIndexDatapointsResponse],
+        ],
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def list_operations(
+        self,
+    ) -> Callable[
+        [operations_pb2.ListOperationsRequest],
+        Union[
+            operations_pb2.ListOperationsResponse,
+            Awaitable[operations_pb2.ListOperationsResponse],
+        ],
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def get_operation(
+        self,
+    ) -> Callable[
+        [operations_pb2.GetOperationRequest],
+        Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def cancel_operation(
+        self,
+    ) -> Callable[[operations_pb2.CancelOperationRequest], None,]:
+        raise NotImplementedError()
+
+    @property
+    def delete_operation(
+        self,
+    ) -> Callable[[operations_pb2.DeleteOperationRequest], None,]:
+        raise NotImplementedError()
+
+    @property
+    def wait_operation(
+        self,
+    ) -> Callable[
+        [operations_pb2.WaitOperationRequest],
+        Union[operations_pb2.Operation, Awaitable[operations_pb2.Operation]],
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def set_iam_policy(
+        self,
+    ) -> Callable[
+        [iam_policy_pb2.SetIamPolicyRequest],
+        Union[policy_pb2.Policy, Awaitable[policy_pb2.Policy]],
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def get_iam_policy(
+        self,
+    ) -> Callable[
+        [iam_policy_pb2.GetIamPolicyRequest],
+        Union[policy_pb2.Policy, Awaitable[policy_pb2.Policy]],
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def test_iam_permissions(
+        self,
+    ) -> Callable[
+        [iam_policy_pb2.TestIamPermissionsRequest],
+        Union[
+            iam_policy_pb2.TestIamPermissionsResponse,
+            Awaitable[iam_policy_pb2.TestIamPermissionsResponse],
+        ],
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def get_location(
+        self,
+    ) -> Callable[
+        [locations_pb2.GetLocationRequest],
+        Union[locations_pb2.Location, Awaitable[locations_pb2.Location]],
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def list_locations(
+        self,
+    ) -> Callable[
+        [locations_pb2.ListLocationsRequest],
+        Union[
+            locations_pb2.ListLocationsResponse,
+            Awaitable[locations_pb2.ListLocationsResponse],
+        ],
+    ]:
+        raise NotImplementedError()
+
+    @property
+    def kind(self) -> str:
+        raise NotImplementedError()
+
+
+__all__ = ("MatchServiceTransport",)
diff --git a/google/cloud/aiplatform_v1beta1/services/match_service/transports/grpc.py b/google/cloud/aiplatform_v1beta1/services/match_service/transports/grpc.py
new file mode 100644
index 0000000000..92d146576c
--- /dev/null
+++ b/google/cloud/aiplatform_v1beta1/services/match_service/transports/grpc.py
@@ -0,0 +1,508 @@
+# -*- coding: utf-8 -*-
+# Copyright 2022 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+import warnings
+from typing import Callable, Dict, Optional, Sequence, Tuple, Union
+
+from google.api_core import grpc_helpers
+from google.api_core import gapic_v1
+import google.auth  # type: ignore
+from google.auth import credentials as ga_credentials  # type: ignore
+from google.auth.transport.grpc import SslCredentials  # type: ignore
+
+import grpc  # type: ignore
+
+from google.cloud.aiplatform_v1beta1.types import match_service
+from google.cloud.location import locations_pb2  # type: ignore
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+from google.iam.v1 import policy_pb2  # type: ignore
+from google.longrunning import operations_pb2
+from .base import MatchServiceTransport, DEFAULT_CLIENT_INFO
+
+
+class MatchServiceGrpcTransport(MatchServiceTransport):
+    """gRPC backend transport for MatchService.
+
+    MatchService is a Google managed service for efficient vector
+    similarity search at scale.
+
+    This class defines the same methods as the primary client, so the
+    primary client can load the underlying transport implementation
+    and call it.
+
+    It sends protocol buffers over the wire using gRPC (which is built on
+    top of HTTP/2); the ``grpcio`` package must be installed.
+    """
+
+    _stubs: Dict[str, Callable]
+
+    def __init__(
+        self,
+        *,
+        host: str = "aiplatform.googleapis.com",
+        credentials: Optional[ga_credentials.Credentials] = None,
+        credentials_file: Optional[str] = None,
+        scopes: Optional[Sequence[str]] = None,
+        channel: Optional[grpc.Channel] = None,
+        api_mtls_endpoint: Optional[str] = None,
+        client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
+        ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None,
+        client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
+        quota_project_id: Optional[str] = None,
+        client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
+        always_use_jwt_access: Optional[bool] = False,
+        api_audience: Optional[str] = None,
+    ) -> None:
+        """Instantiate the transport.
+
+        Args:
+            host (Optional[str]):
+                 The hostname to connect to.
+            credentials (Optional[google.auth.credentials.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify the application to the service; if none
+                are specified, the client will attempt to ascertain the
+                credentials from the environment.
+                This argument is ignored if ``channel`` is provided.
+            credentials_file (Optional[str]): A file with credentials that can
+                be loaded with :func:`google.auth.load_credentials_from_file`.
+                This argument is ignored if ``channel`` is provided.
+            scopes (Optional(Sequence[str])): A list of scopes. This argument is
+                ignored if ``channel`` is provided.
+            channel (Optional[grpc.Channel]): A ``Channel`` instance through
+                which to make calls.
+            api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint.
+                If provided, it overrides the ``host`` argument and tries to create
+                a mutual TLS channel with client SSL credentials from
+                ``client_cert_source`` or application default SSL credentials.
+            client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]):
+                Deprecated. A callback to provide client SSL certificate bytes and
+                private key bytes, both in PEM format. It is ignored if
+                ``api_mtls_endpoint`` is None.
+            ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials
+                for the grpc channel. It is ignored if ``channel`` is provided.
+            client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]):
+                A callback to provide client certificate bytes and private key bytes,
+                both in PEM format. It is used to configure a mutual TLS channel. It is
+                ignored if ``channel`` or ``ssl_channel_credentials`` is provided.
+            quota_project_id (Optional[str]): An optional project to use for billing
+                and quota.
+            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
+                The client info used to send a user-agent string along with
+                API requests. If ``None``, then default info will be used.
+                Generally, you only need to set this if you're developing
+                your own client library.
+            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
+                be used for service account credentials.
+
+        Raises:
+          google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport
+              creation failed for any reason.
+          google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
+              and ``credentials_file`` are passed.
+        """
+        self._grpc_channel = None
+        self._ssl_channel_credentials = ssl_channel_credentials
+        self._stubs: Dict[str, Callable] = {}
+
+        if api_mtls_endpoint:
+            warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning)
+        if client_cert_source:
+            warnings.warn("client_cert_source is deprecated", DeprecationWarning)
+
+        if channel:
+            # Ignore credentials if a channel was passed.
+            credentials = False
+            # If a channel was explicitly provided, set it.
+            self._grpc_channel = channel
+            self._ssl_channel_credentials = None
+
+        else:
+            if api_mtls_endpoint:
+                host = api_mtls_endpoint
+
+                # Create SSL credentials with client_cert_source or application
+                # default SSL credentials.
+                if client_cert_source:
+                    cert, key = client_cert_source()
+                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
+                        certificate_chain=cert, private_key=key
+                    )
+                else:
+                    self._ssl_channel_credentials = SslCredentials().ssl_credentials
+
+            else:
+                if client_cert_source_for_mtls and not ssl_channel_credentials:
+                    cert, key = client_cert_source_for_mtls()
+                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
+                        certificate_chain=cert, private_key=key
+                    )
+
+        # The base transport sets the host, credentials and scopes
+        super().__init__(
+            host=host,
+            credentials=credentials,
+            credentials_file=credentials_file,
+            scopes=scopes,
+            quota_project_id=quota_project_id,
+            client_info=client_info,
+            always_use_jwt_access=always_use_jwt_access,
+            api_audience=api_audience,
+        )
+
+        if not self._grpc_channel:
+            self._grpc_channel = type(self).create_channel(
+                self._host,
+                # use the credentials which are saved
+                credentials=self._credentials,
+                # Set ``credentials_file`` to ``None`` here as
+                # the credentials that we saved earlier should be used.
+                credentials_file=None,
+                scopes=self._scopes,
+                ssl_credentials=self._ssl_channel_credentials,
+                quota_project_id=quota_project_id,
+                options=[
+                    ("grpc.max_send_message_length", -1),
+                    ("grpc.max_receive_message_length", -1),
+                ],
+            )
+
+        # Wrap messages. This must be done after self._grpc_channel exists
+        self._prep_wrapped_messages(client_info)
+
+    @classmethod
+    def create_channel(
+        cls,
+        host: str = "aiplatform.googleapis.com",
+        credentials: Optional[ga_credentials.Credentials] = None,
+        credentials_file: Optional[str] = None,
+        scopes: Optional[Sequence[str]] = None,
+        quota_project_id: Optional[str] = None,
+        **kwargs,
+    ) -> grpc.Channel:
+        """Create and return a gRPC channel object.
+        Args:
+            host (Optional[str]): The host for the channel to use.
+            credentials (Optional[~.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify this application to the service. If
+                none are specified, the client will attempt to ascertain
+                the credentials from the environment.
+            credentials_file (Optional[str]): A file with credentials that can
+                be loaded with :func:`google.auth.load_credentials_from_file`.
+                This argument is mutually exclusive with credentials.
+            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
+                service. These are only used when credentials are not specified and
+                are passed to :func:`google.auth.default`.
+            quota_project_id (Optional[str]): An optional project to use for billing
+                and quota.
+            kwargs (Optional[dict]): Keyword arguments, which are passed to the
+                channel creation.
+        Returns:
+            grpc.Channel: A gRPC channel object.
+
+        Raises:
+            google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
+              and ``credentials_file`` are passed.
+        """
+
+        return grpc_helpers.create_channel(
+            host,
+            credentials=credentials,
+            credentials_file=credentials_file,
+            quota_project_id=quota_project_id,
+            default_scopes=cls.AUTH_SCOPES,
+            scopes=scopes,
+            default_host=cls.DEFAULT_HOST,
+            **kwargs,
+        )
+
+    @property
+    def grpc_channel(self) -> grpc.Channel:
+        """Return the channel designed to connect to this service."""
+        return self._grpc_channel
+
+    @property
+    def find_neighbors(
+        self,
+    ) -> Callable[
+        [match_service.FindNeighborsRequest], match_service.FindNeighborsResponse
+    ]:
+        r"""Return a callable for the find neighbors method over gRPC.
+
+        Finds the nearest neighbors of each vector within the
+        request.
+
+        Returns:
+            Callable[[~.FindNeighborsRequest],
+                    ~.FindNeighborsResponse]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "find_neighbors" not in self._stubs:
+            self._stubs["find_neighbors"] = self.grpc_channel.unary_unary(
+                "/google.cloud.aiplatform.v1beta1.MatchService/FindNeighbors",
+                request_serializer=match_service.FindNeighborsRequest.serialize,
+                response_deserializer=match_service.FindNeighborsResponse.deserialize,
+            )
+        return self._stubs["find_neighbors"]
+
+    @property
+    def read_index_datapoints(
+        self,
+    ) -> Callable[
+        [match_service.ReadIndexDatapointsRequest],
+        match_service.ReadIndexDatapointsResponse,
+    ]:
+        r"""Return a callable for the read index datapoints method over gRPC.
+
+        Reads the datapoints/vectors of the given IDs.
+        A maximum of 1000 datapoints can be retrieved in a
+        batch.
+
+        Returns:
+            Callable[[~.ReadIndexDatapointsRequest],
+                    ~.ReadIndexDatapointsResponse]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "read_index_datapoints" not in self._stubs:
+            self._stubs["read_index_datapoints"] = self.grpc_channel.unary_unary(
+                "/google.cloud.aiplatform.v1beta1.MatchService/ReadIndexDatapoints",
+                request_serializer=match_service.ReadIndexDatapointsRequest.serialize,
+                response_deserializer=match_service.ReadIndexDatapointsResponse.deserialize,
+            )
+        return self._stubs["read_index_datapoints"]
+
+    def close(self):
+        self.grpc_channel.close()
+
+    @property
+    def delete_operation(
+        self,
+    ) -> Callable[[operations_pb2.DeleteOperationRequest], None]:
+        r"""Return a callable for the delete_operation method over gRPC."""
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "delete_operation" not in self._stubs:
+            self._stubs["delete_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/DeleteOperation",
+                request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString,
+                response_deserializer=None,
+            )
+        return self._stubs["delete_operation"]
+
+    @property
+    def cancel_operation(
+        self,
+    ) -> Callable[[operations_pb2.CancelOperationRequest], None]:
+        r"""Return a callable for the cancel_operation method over gRPC."""
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "cancel_operation" not in self._stubs:
+            self._stubs["cancel_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/CancelOperation",
+                request_serializer=operations_pb2.CancelOperationRequest.SerializeToString,
+                response_deserializer=None,
+            )
+        return self._stubs["cancel_operation"]
+
+    @property
+    def wait_operation(
+        self,
+    ) -> Callable[[operations_pb2.WaitOperationRequest], None]:
+        r"""Return a callable for the wait_operation method over gRPC."""
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "delete_operation" not in self._stubs:
+            self._stubs["wait_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/WaitOperation",
+                request_serializer=operations_pb2.WaitOperationRequest.SerializeToString,
+                response_deserializer=None,
+            )
+        return self._stubs["wait_operation"]
+
+    @property
+    def get_operation(
+        self,
+    ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]:
+        r"""Return a callable for the get_operation method over gRPC."""
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "get_operation" not in self._stubs:
+            self._stubs["get_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/GetOperation",
+                request_serializer=operations_pb2.GetOperationRequest.SerializeToString,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs["get_operation"]
+
+    @property
+    def list_operations(
+        self,
+    ) -> Callable[
+        [operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse
+    ]:
+        r"""Return a callable for the list_operations method over gRPC."""
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "list_operations" not in self._stubs:
+            self._stubs["list_operations"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/ListOperations",
+                request_serializer=operations_pb2.ListOperationsRequest.SerializeToString,
+                response_deserializer=operations_pb2.ListOperationsResponse.FromString,
+            )
+        return self._stubs["list_operations"]
+
+    @property
+    def list_locations(
+        self,
+    ) -> Callable[
+        [locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse
+    ]:
+        r"""Return a callable for the list locations method over gRPC."""
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "list_locations" not in self._stubs:
+            self._stubs["list_locations"] = self.grpc_channel.unary_unary(
+                "/google.cloud.location.Locations/ListLocations",
+                request_serializer=locations_pb2.ListLocationsRequest.SerializeToString,
+                response_deserializer=locations_pb2.ListLocationsResponse.FromString,
+            )
+        return self._stubs["list_locations"]
+
+    @property
+    def get_location(
+        self,
+    ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]:
+        r"""Return a callable for the list locations method over gRPC."""
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "get_location" not in self._stubs:
+            self._stubs["get_location"] = self.grpc_channel.unary_unary(
+                "/google.cloud.location.Locations/GetLocation",
+                request_serializer=locations_pb2.GetLocationRequest.SerializeToString,
+                response_deserializer=locations_pb2.Location.FromString,
+            )
+        return self._stubs["get_location"]
+
+    @property
+    def set_iam_policy(
+        self,
+    ) -> Callable[[iam_policy_pb2.SetIamPolicyRequest], policy_pb2.Policy]:
+        r"""Return a callable for the set iam policy method over gRPC.
+        Sets the IAM access control policy on the specified
+        function. Replaces any existing policy.
+        Returns:
+            Callable[[~.SetIamPolicyRequest],
+                    ~.Policy]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "set_iam_policy" not in self._stubs:
+            self._stubs["set_iam_policy"] = self.grpc_channel.unary_unary(
+                "/google.iam.v1.IAMPolicy/SetIamPolicy",
+                request_serializer=iam_policy_pb2.SetIamPolicyRequest.SerializeToString,
+                response_deserializer=policy_pb2.Policy.FromString,
+            )
+        return self._stubs["set_iam_policy"]
+
+    @property
+    def get_iam_policy(
+        self,
+    ) -> Callable[[iam_policy_pb2.GetIamPolicyRequest], policy_pb2.Policy]:
+        r"""Return a callable for the get iam policy method over gRPC.
+        Gets the IAM access control policy for a function.
+        Returns an empty policy if the function exists and does
+        not have a policy set.
+        Returns:
+            Callable[[~.GetIamPolicyRequest],
+                    ~.Policy]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "get_iam_policy" not in self._stubs:
+            self._stubs["get_iam_policy"] = self.grpc_channel.unary_unary(
+                "/google.iam.v1.IAMPolicy/GetIamPolicy",
+                request_serializer=iam_policy_pb2.GetIamPolicyRequest.SerializeToString,
+                response_deserializer=policy_pb2.Policy.FromString,
+            )
+        return self._stubs["get_iam_policy"]
+
+    @property
+    def test_iam_permissions(
+        self,
+    ) -> Callable[
+        [iam_policy_pb2.TestIamPermissionsRequest],
+        iam_policy_pb2.TestIamPermissionsResponse,
+    ]:
+        r"""Return a callable for the test iam permissions method over gRPC.
+        Tests the specified permissions against the IAM access control
+        policy for a function. If the function does not exist, this will
+        return an empty set of permissions, not a NOT_FOUND error.
+        Returns:
+            Callable[[~.TestIamPermissionsRequest],
+                    ~.TestIamPermissionsResponse]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "test_iam_permissions" not in self._stubs:
+            self._stubs["test_iam_permissions"] = self.grpc_channel.unary_unary(
+                "/google.iam.v1.IAMPolicy/TestIamPermissions",
+                request_serializer=iam_policy_pb2.TestIamPermissionsRequest.SerializeToString,
+                response_deserializer=iam_policy_pb2.TestIamPermissionsResponse.FromString,
+            )
+        return self._stubs["test_iam_permissions"]
+
+    @property
+    def kind(self) -> str:
+        return "grpc"
+
+
+__all__ = ("MatchServiceGrpcTransport",)
diff --git a/google/cloud/aiplatform_v1beta1/services/match_service/transports/grpc_asyncio.py b/google/cloud/aiplatform_v1beta1/services/match_service/transports/grpc_asyncio.py
new file mode 100644
index 0000000000..85fd2bfab7
--- /dev/null
+++ b/google/cloud/aiplatform_v1beta1/services/match_service/transports/grpc_asyncio.py
@@ -0,0 +1,508 @@
+# -*- coding: utf-8 -*-
+# Copyright 2022 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+import warnings
+from typing import Awaitable, Callable, Dict, Optional, Sequence, Tuple, Union
+
+from google.api_core import gapic_v1
+from google.api_core import grpc_helpers_async
+from google.auth import credentials as ga_credentials  # type: ignore
+from google.auth.transport.grpc import SslCredentials  # type: ignore
+
+import grpc  # type: ignore
+from grpc.experimental import aio  # type: ignore
+
+from google.cloud.aiplatform_v1beta1.types import match_service
+from google.cloud.location import locations_pb2  # type: ignore
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+from google.iam.v1 import policy_pb2  # type: ignore
+from google.longrunning import operations_pb2
+from .base import MatchServiceTransport, DEFAULT_CLIENT_INFO
+from .grpc import MatchServiceGrpcTransport
+
+
+class MatchServiceGrpcAsyncIOTransport(MatchServiceTransport):
+    """gRPC AsyncIO backend transport for MatchService.
+
+    MatchService is a Google managed service for efficient vector
+    similarity search at scale.
+
+    This class defines the same methods as the primary client, so the
+    primary client can load the underlying transport implementation
+    and call it.
+
+    It sends protocol buffers over the wire using gRPC (which is built on
+    top of HTTP/2); the ``grpcio`` package must be installed.
+    """
+
+    _grpc_channel: aio.Channel
+    _stubs: Dict[str, Callable] = {}
+
+    @classmethod
+    def create_channel(
+        cls,
+        host: str = "aiplatform.googleapis.com",
+        credentials: Optional[ga_credentials.Credentials] = None,
+        credentials_file: Optional[str] = None,
+        scopes: Optional[Sequence[str]] = None,
+        quota_project_id: Optional[str] = None,
+        **kwargs,
+    ) -> aio.Channel:
+        """Create and return a gRPC AsyncIO channel object.
+        Args:
+            host (Optional[str]): The host for the channel to use.
+            credentials (Optional[~.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify this application to the service. If
+                none are specified, the client will attempt to ascertain
+                the credentials from the environment.
+            credentials_file (Optional[str]): A file with credentials that can
+                be loaded with :func:`google.auth.load_credentials_from_file`.
+                This argument is ignored if ``channel`` is provided.
+            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
+                service. These are only used when credentials are not specified and
+                are passed to :func:`google.auth.default`.
+            quota_project_id (Optional[str]): An optional project to use for billing
+                and quota.
+            kwargs (Optional[dict]): Keyword arguments, which are passed to the
+                channel creation.
+        Returns:
+            aio.Channel: A gRPC AsyncIO channel object.
+        """
+
+        return grpc_helpers_async.create_channel(
+            host,
+            credentials=credentials,
+            credentials_file=credentials_file,
+            quota_project_id=quota_project_id,
+            default_scopes=cls.AUTH_SCOPES,
+            scopes=scopes,
+            default_host=cls.DEFAULT_HOST,
+            **kwargs,
+        )
+
+    def __init__(
+        self,
+        *,
+        host: str = "aiplatform.googleapis.com",
+        credentials: Optional[ga_credentials.Credentials] = None,
+        credentials_file: Optional[str] = None,
+        scopes: Optional[Sequence[str]] = None,
+        channel: Optional[aio.Channel] = None,
+        api_mtls_endpoint: Optional[str] = None,
+        client_cert_source: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
+        ssl_channel_credentials: Optional[grpc.ChannelCredentials] = None,
+        client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None,
+        quota_project_id: Optional[str] = None,
+        client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
+        always_use_jwt_access: Optional[bool] = False,
+        api_audience: Optional[str] = None,
+    ) -> None:
+        """Instantiate the transport.
+
+        Args:
+            host (Optional[str]):
+                 The hostname to connect to.
+            credentials (Optional[google.auth.credentials.Credentials]): The
+                authorization credentials to attach to requests. These
+                credentials identify the application to the service; if none
+                are specified, the client will attempt to ascertain the
+                credentials from the environment.
+                This argument is ignored if ``channel`` is provided.
+            credentials_file (Optional[str]): A file with credentials that can
+                be loaded with :func:`google.auth.load_credentials_from_file`.
+                This argument is ignored if ``channel`` is provided.
+            scopes (Optional[Sequence[str]]): A optional list of scopes needed for this
+                service. These are only used when credentials are not specified and
+                are passed to :func:`google.auth.default`.
+            channel (Optional[aio.Channel]): A ``Channel`` instance through
+                which to make calls.
+            api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint.
+                If provided, it overrides the ``host`` argument and tries to create
+                a mutual TLS channel with client SSL credentials from
+                ``client_cert_source`` or application default SSL credentials.
+            client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]):
+                Deprecated. A callback to provide client SSL certificate bytes and
+                private key bytes, both in PEM format. It is ignored if
+                ``api_mtls_endpoint`` is None.
+            ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials
+                for the grpc channel. It is ignored if ``channel`` is provided.
+            client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]):
+                A callback to provide client certificate bytes and private key bytes,
+                both in PEM format. It is used to configure a mutual TLS channel. It is
+                ignored if ``channel`` or ``ssl_channel_credentials`` is provided.
+            quota_project_id (Optional[str]): An optional project to use for billing
+                and quota.
+            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
+                The client info used to send a user-agent string along with
+                API requests. If ``None``, then default info will be used.
+                Generally, you only need to set this if you're developing
+                your own client library.
+            always_use_jwt_access (Optional[bool]): Whether self signed JWT should
+                be used for service account credentials.
+
+        Raises:
+            google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport
+              creation failed for any reason.
+          google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials``
+              and ``credentials_file`` are passed.
+        """
+        self._grpc_channel = None
+        self._ssl_channel_credentials = ssl_channel_credentials
+        self._stubs: Dict[str, Callable] = {}
+
+        if api_mtls_endpoint:
+            warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning)
+        if client_cert_source:
+            warnings.warn("client_cert_source is deprecated", DeprecationWarning)
+
+        if channel:
+            # Ignore credentials if a channel was passed.
+            credentials = False
+            # If a channel was explicitly provided, set it.
+            self._grpc_channel = channel
+            self._ssl_channel_credentials = None
+        else:
+            if api_mtls_endpoint:
+                host = api_mtls_endpoint
+
+                # Create SSL credentials with client_cert_source or application
+                # default SSL credentials.
+                if client_cert_source:
+                    cert, key = client_cert_source()
+                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
+                        certificate_chain=cert, private_key=key
+                    )
+                else:
+                    self._ssl_channel_credentials = SslCredentials().ssl_credentials
+
+            else:
+                if client_cert_source_for_mtls and not ssl_channel_credentials:
+                    cert, key = client_cert_source_for_mtls()
+                    self._ssl_channel_credentials = grpc.ssl_channel_credentials(
+                        certificate_chain=cert, private_key=key
+                    )
+
+        # The base transport sets the host, credentials and scopes
+        super().__init__(
+            host=host,
+            credentials=credentials,
+            credentials_file=credentials_file,
+            scopes=scopes,
+            quota_project_id=quota_project_id,
+            client_info=client_info,
+            always_use_jwt_access=always_use_jwt_access,
+            api_audience=api_audience,
+        )
+
+        if not self._grpc_channel:
+            self._grpc_channel = type(self).create_channel(
+                self._host,
+                # use the credentials which are saved
+                credentials=self._credentials,
+                # Set ``credentials_file`` to ``None`` here as
+                # the credentials that we saved earlier should be used.
+                credentials_file=None,
+                scopes=self._scopes,
+                ssl_credentials=self._ssl_channel_credentials,
+                quota_project_id=quota_project_id,
+                options=[
+                    ("grpc.max_send_message_length", -1),
+                    ("grpc.max_receive_message_length", -1),
+                ],
+            )
+
+        # Wrap messages. This must be done after self._grpc_channel exists
+        self._prep_wrapped_messages(client_info)
+
+    @property
+    def grpc_channel(self) -> aio.Channel:
+        """Create the channel designed to connect to this service.
+
+        This property caches on the instance; repeated calls return
+        the same channel.
+        """
+        # Return the channel from cache.
+        return self._grpc_channel
+
+    @property
+    def find_neighbors(
+        self,
+    ) -> Callable[
+        [match_service.FindNeighborsRequest],
+        Awaitable[match_service.FindNeighborsResponse],
+    ]:
+        r"""Return a callable for the find neighbors method over gRPC.
+
+        Finds the nearest neighbors of each vector within the
+        request.
+
+        Returns:
+            Callable[[~.FindNeighborsRequest],
+                    Awaitable[~.FindNeighborsResponse]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "find_neighbors" not in self._stubs:
+            self._stubs["find_neighbors"] = self.grpc_channel.unary_unary(
+                "/google.cloud.aiplatform.v1beta1.MatchService/FindNeighbors",
+                request_serializer=match_service.FindNeighborsRequest.serialize,
+                response_deserializer=match_service.FindNeighborsResponse.deserialize,
+            )
+        return self._stubs["find_neighbors"]
+
+    @property
+    def read_index_datapoints(
+        self,
+    ) -> Callable[
+        [match_service.ReadIndexDatapointsRequest],
+        Awaitable[match_service.ReadIndexDatapointsResponse],
+    ]:
+        r"""Return a callable for the read index datapoints method over gRPC.
+
+        Reads the datapoints/vectors of the given IDs.
+        A maximum of 1000 datapoints can be retrieved in a
+        batch.
+
+        Returns:
+            Callable[[~.ReadIndexDatapointsRequest],
+                    Awaitable[~.ReadIndexDatapointsResponse]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "read_index_datapoints" not in self._stubs:
+            self._stubs["read_index_datapoints"] = self.grpc_channel.unary_unary(
+                "/google.cloud.aiplatform.v1beta1.MatchService/ReadIndexDatapoints",
+                request_serializer=match_service.ReadIndexDatapointsRequest.serialize,
+                response_deserializer=match_service.ReadIndexDatapointsResponse.deserialize,
+            )
+        return self._stubs["read_index_datapoints"]
+
+    def close(self):
+        return self.grpc_channel.close()
+
+    @property
+    def delete_operation(
+        self,
+    ) -> Callable[[operations_pb2.DeleteOperationRequest], None]:
+        r"""Return a callable for the delete_operation method over gRPC."""
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "delete_operation" not in self._stubs:
+            self._stubs["delete_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/DeleteOperation",
+                request_serializer=operations_pb2.DeleteOperationRequest.SerializeToString,
+                response_deserializer=None,
+            )
+        return self._stubs["delete_operation"]
+
+    @property
+    def cancel_operation(
+        self,
+    ) -> Callable[[operations_pb2.CancelOperationRequest], None]:
+        r"""Return a callable for the cancel_operation method over gRPC."""
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "cancel_operation" not in self._stubs:
+            self._stubs["cancel_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/CancelOperation",
+                request_serializer=operations_pb2.CancelOperationRequest.SerializeToString,
+                response_deserializer=None,
+            )
+        return self._stubs["cancel_operation"]
+
+    @property
+    def wait_operation(
+        self,
+    ) -> Callable[[operations_pb2.WaitOperationRequest], None]:
+        r"""Return a callable for the wait_operation method over gRPC."""
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "delete_operation" not in self._stubs:
+            self._stubs["wait_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/WaitOperation",
+                request_serializer=operations_pb2.WaitOperationRequest.SerializeToString,
+                response_deserializer=None,
+            )
+        return self._stubs["wait_operation"]
+
+    @property
+    def get_operation(
+        self,
+    ) -> Callable[[operations_pb2.GetOperationRequest], operations_pb2.Operation]:
+        r"""Return a callable for the get_operation method over gRPC."""
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "get_operation" not in self._stubs:
+            self._stubs["get_operation"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/GetOperation",
+                request_serializer=operations_pb2.GetOperationRequest.SerializeToString,
+                response_deserializer=operations_pb2.Operation.FromString,
+            )
+        return self._stubs["get_operation"]
+
+    @property
+    def list_operations(
+        self,
+    ) -> Callable[
+        [operations_pb2.ListOperationsRequest], operations_pb2.ListOperationsResponse
+    ]:
+        r"""Return a callable for the list_operations method over gRPC."""
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "list_operations" not in self._stubs:
+            self._stubs["list_operations"] = self.grpc_channel.unary_unary(
+                "/google.longrunning.Operations/ListOperations",
+                request_serializer=operations_pb2.ListOperationsRequest.SerializeToString,
+                response_deserializer=operations_pb2.ListOperationsResponse.FromString,
+            )
+        return self._stubs["list_operations"]
+
+    @property
+    def list_locations(
+        self,
+    ) -> Callable[
+        [locations_pb2.ListLocationsRequest], locations_pb2.ListLocationsResponse
+    ]:
+        r"""Return a callable for the list locations method over gRPC."""
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "list_locations" not in self._stubs:
+            self._stubs["list_locations"] = self.grpc_channel.unary_unary(
+                "/google.cloud.location.Locations/ListLocations",
+                request_serializer=locations_pb2.ListLocationsRequest.SerializeToString,
+                response_deserializer=locations_pb2.ListLocationsResponse.FromString,
+            )
+        return self._stubs["list_locations"]
+
+    @property
+    def get_location(
+        self,
+    ) -> Callable[[locations_pb2.GetLocationRequest], locations_pb2.Location]:
+        r"""Return a callable for the list locations method over gRPC."""
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "get_location" not in self._stubs:
+            self._stubs["get_location"] = self.grpc_channel.unary_unary(
+                "/google.cloud.location.Locations/GetLocation",
+                request_serializer=locations_pb2.GetLocationRequest.SerializeToString,
+                response_deserializer=locations_pb2.Location.FromString,
+            )
+        return self._stubs["get_location"]
+
+    @property
+    def set_iam_policy(
+        self,
+    ) -> Callable[[iam_policy_pb2.SetIamPolicyRequest], policy_pb2.Policy]:
+        r"""Return a callable for the set iam policy method over gRPC.
+        Sets the IAM access control policy on the specified
+        function. Replaces any existing policy.
+        Returns:
+            Callable[[~.SetIamPolicyRequest],
+                    ~.Policy]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "set_iam_policy" not in self._stubs:
+            self._stubs["set_iam_policy"] = self.grpc_channel.unary_unary(
+                "/google.iam.v1.IAMPolicy/SetIamPolicy",
+                request_serializer=iam_policy_pb2.SetIamPolicyRequest.SerializeToString,
+                response_deserializer=policy_pb2.Policy.FromString,
+            )
+        return self._stubs["set_iam_policy"]
+
+    @property
+    def get_iam_policy(
+        self,
+    ) -> Callable[[iam_policy_pb2.GetIamPolicyRequest], policy_pb2.Policy]:
+        r"""Return a callable for the get iam policy method over gRPC.
+        Gets the IAM access control policy for a function.
+        Returns an empty policy if the function exists and does
+        not have a policy set.
+        Returns:
+            Callable[[~.GetIamPolicyRequest],
+                    ~.Policy]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "get_iam_policy" not in self._stubs:
+            self._stubs["get_iam_policy"] = self.grpc_channel.unary_unary(
+                "/google.iam.v1.IAMPolicy/GetIamPolicy",
+                request_serializer=iam_policy_pb2.GetIamPolicyRequest.SerializeToString,
+                response_deserializer=policy_pb2.Policy.FromString,
+            )
+        return self._stubs["get_iam_policy"]
+
+    @property
+    def test_iam_permissions(
+        self,
+    ) -> Callable[
+        [iam_policy_pb2.TestIamPermissionsRequest],
+        iam_policy_pb2.TestIamPermissionsResponse,
+    ]:
+        r"""Return a callable for the test iam permissions method over gRPC.
+        Tests the specified permissions against the IAM access control
+        policy for a function. If the function does not exist, this will
+        return an empty set of permissions, not a NOT_FOUND error.
+        Returns:
+            Callable[[~.TestIamPermissionsRequest],
+                    ~.TestIamPermissionsResponse]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "test_iam_permissions" not in self._stubs:
+            self._stubs["test_iam_permissions"] = self.grpc_channel.unary_unary(
+                "/google.iam.v1.IAMPolicy/TestIamPermissions",
+                request_serializer=iam_policy_pb2.TestIamPermissionsRequest.SerializeToString,
+                response_deserializer=iam_policy_pb2.TestIamPermissionsResponse.FromString,
+            )
+        return self._stubs["test_iam_permissions"]
+
+
+__all__ = ("MatchServiceGrpcAsyncIOTransport",)
diff --git a/google/cloud/aiplatform_v1beta1/services/model_service/async_client.py b/google/cloud/aiplatform_v1beta1/services/model_service/async_client.py
index afb2770c94..ba16e97fbf 100644
--- a/google/cloud/aiplatform_v1beta1/services/model_service/async_client.py
+++ b/google/cloud/aiplatform_v1beta1/services/model_service/async_client.py
@@ -47,6 +47,7 @@
 from google.cloud.aiplatform_v1beta1.services.model_service import pagers
 from google.cloud.aiplatform_v1beta1.types import deployed_model_ref
 from google.cloud.aiplatform_v1beta1.types import encryption_spec
+from google.cloud.aiplatform_v1beta1.types import evaluated_annotation
 from google.cloud.aiplatform_v1beta1.types import explanation
 from google.cloud.aiplatform_v1beta1.types import model
 from google.cloud.aiplatform_v1beta1.types import model as gca_model
@@ -1121,8 +1122,9 @@ async def delete_model_version(
         r"""Deletes a Model version.
 
         Model version can only be deleted if there are no
-        [DeployedModels][] created from it. Deleting the only version in
-        the Model is not allowed. Use
+        [DeployedModels][google.cloud.aiplatform.v1beta1.DeployedModel]
+        created from it. Deleting the only version in the Model is not
+        allowed. Use
         [DeleteModel][google.cloud.aiplatform.v1beta1.ModelService.DeleteModel]
         for deleting the Model instead.
 
@@ -1873,6 +1875,124 @@ async def sample_batch_import_model_evaluation_slices():
         # Done; return the response.
         return response
 
+    async def batch_import_evaluated_annotations(
+        self,
+        request: Optional[
+            Union[model_service.BatchImportEvaluatedAnnotationsRequest, dict]
+        ] = None,
+        *,
+        parent: Optional[str] = None,
+        evaluated_annotations: Optional[
+            MutableSequence[evaluated_annotation.EvaluatedAnnotation]
+        ] = None,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> model_service.BatchImportEvaluatedAnnotationsResponse:
+        r"""Imports a list of externally generated
+        EvaluatedAnnotations.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import aiplatform_v1beta1
+
+            async def sample_batch_import_evaluated_annotations():
+                # Create a client
+                client = aiplatform_v1beta1.ModelServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = aiplatform_v1beta1.BatchImportEvaluatedAnnotationsRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                response = await client.batch_import_evaluated_annotations(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.aiplatform_v1beta1.types.BatchImportEvaluatedAnnotationsRequest, dict]]):
+                The request object. Request message for
+                [ModelService.BatchImportEvaluatedAnnotations][google.cloud.aiplatform.v1beta1.ModelService.BatchImportEvaluatedAnnotations]
+            parent (:class:`str`):
+                Required. The name of the parent ModelEvaluationSlice
+                resource. Format:
+                ``projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}``
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            evaluated_annotations (:class:`MutableSequence[google.cloud.aiplatform_v1beta1.types.EvaluatedAnnotation]`):
+                Required. Evaluated annotations
+                resource to be imported.
+
+                This corresponds to the ``evaluated_annotations`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.aiplatform_v1beta1.types.BatchImportEvaluatedAnnotationsResponse:
+                Response message for
+                   [ModelService.BatchImportEvaluatedAnnotations][google.cloud.aiplatform.v1beta1.ModelService.BatchImportEvaluatedAnnotations]
+
+        """
+        # Create or coerce a protobuf request object.
+        # Quick check: If we got a request object, we should *not* have
+        # gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent, evaluated_annotations])
+        if request is not None and has_flattened_params:
+            raise ValueError(
+                "If the `request` argument is set, then none of "
+                "the individual field arguments should be set."
+            )
+
+        request = model_service.BatchImportEvaluatedAnnotationsRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+        if evaluated_annotations:
+            request.evaluated_annotations.extend(evaluated_annotations)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = gapic_v1.method_async.wrap_method(
+            self._client._transport.batch_import_evaluated_annotations,
+            default_timeout=None,
+            client_info=DEFAULT_CLIENT_INFO,
+        )
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
+        )
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
     async def get_model_evaluation(
         self,
         request: Optional[Union[model_service.GetModelEvaluationRequest, dict]] = None,
diff --git a/google/cloud/aiplatform_v1beta1/services/model_service/client.py b/google/cloud/aiplatform_v1beta1/services/model_service/client.py
index d37a238815..87d4f78cd1 100644
--- a/google/cloud/aiplatform_v1beta1/services/model_service/client.py
+++ b/google/cloud/aiplatform_v1beta1/services/model_service/client.py
@@ -51,6 +51,7 @@
 from google.cloud.aiplatform_v1beta1.services.model_service import pagers
 from google.cloud.aiplatform_v1beta1.types import deployed_model_ref
 from google.cloud.aiplatform_v1beta1.types import encryption_spec
+from google.cloud.aiplatform_v1beta1.types import evaluated_annotation
 from google.cloud.aiplatform_v1beta1.types import explanation
 from google.cloud.aiplatform_v1beta1.types import model
 from google.cloud.aiplatform_v1beta1.types import model as gca_model
@@ -1430,8 +1431,9 @@ def delete_model_version(
         r"""Deletes a Model version.
 
         Model version can only be deleted if there are no
-        [DeployedModels][] created from it. Deleting the only version in
-        the Model is not allowed. Use
+        [DeployedModels][google.cloud.aiplatform.v1beta1.DeployedModel]
+        created from it. Deleting the only version in the Model is not
+        allowed. Use
         [DeleteModel][google.cloud.aiplatform.v1beta1.ModelService.DeleteModel]
         for deleting the Model instead.
 
@@ -2186,6 +2188,128 @@ def sample_batch_import_model_evaluation_slices():
         # Done; return the response.
         return response
 
+    def batch_import_evaluated_annotations(
+        self,
+        request: Optional[
+            Union[model_service.BatchImportEvaluatedAnnotationsRequest, dict]
+        ] = None,
+        *,
+        parent: Optional[str] = None,
+        evaluated_annotations: Optional[
+            MutableSequence[evaluated_annotation.EvaluatedAnnotation]
+        ] = None,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> model_service.BatchImportEvaluatedAnnotationsResponse:
+        r"""Imports a list of externally generated
+        EvaluatedAnnotations.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import aiplatform_v1beta1
+
+            def sample_batch_import_evaluated_annotations():
+                # Create a client
+                client = aiplatform_v1beta1.ModelServiceClient()
+
+                # Initialize request argument(s)
+                request = aiplatform_v1beta1.BatchImportEvaluatedAnnotationsRequest(
+                    parent="parent_value",
+                )
+
+                # Make the request
+                response = client.batch_import_evaluated_annotations(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.aiplatform_v1beta1.types.BatchImportEvaluatedAnnotationsRequest, dict]):
+                The request object. Request message for
+                [ModelService.BatchImportEvaluatedAnnotations][google.cloud.aiplatform.v1beta1.ModelService.BatchImportEvaluatedAnnotations]
+            parent (str):
+                Required. The name of the parent ModelEvaluationSlice
+                resource. Format:
+                ``projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}``
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            evaluated_annotations (MutableSequence[google.cloud.aiplatform_v1beta1.types.EvaluatedAnnotation]):
+                Required. Evaluated annotations
+                resource to be imported.
+
+                This corresponds to the ``evaluated_annotations`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry.Retry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, str]]): Strings which should be
+                sent along with the request as metadata.
+
+        Returns:
+            google.cloud.aiplatform_v1beta1.types.BatchImportEvaluatedAnnotationsResponse:
+                Response message for
+                   [ModelService.BatchImportEvaluatedAnnotations][google.cloud.aiplatform.v1beta1.ModelService.BatchImportEvaluatedAnnotations]
+
+        """
+        # Create or coerce a protobuf request object.
+        # Quick check: If we got a request object, we should *not* have
+        # gotten any keyword arguments that map to the request.
+        has_flattened_params = any([parent, evaluated_annotations])
+        if request is not None and has_flattened_params:
+            raise ValueError(
+                "If the `request` argument is set, then none of "
+                "the individual field arguments should be set."
+            )
+
+        # Minor optimization to avoid making a copy if the user passes
+        # in a model_service.BatchImportEvaluatedAnnotationsRequest.
+        # There's no risk of modifying the input as we've already verified
+        # there are no flattened fields.
+        if not isinstance(
+            request, model_service.BatchImportEvaluatedAnnotationsRequest
+        ):
+            request = model_service.BatchImportEvaluatedAnnotationsRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if parent is not None:
+                request.parent = parent
+            if evaluated_annotations is not None:
+                request.evaluated_annotations = evaluated_annotations
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[
+            self._transport.batch_import_evaluated_annotations
+        ]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
+        )
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
     def get_model_evaluation(
         self,
         request: Optional[Union[model_service.GetModelEvaluationRequest, dict]] = None,
diff --git a/google/cloud/aiplatform_v1beta1/services/model_service/transports/base.py b/google/cloud/aiplatform_v1beta1/services/model_service/transports/base.py
index 1e3d5ff4cd..bd45b6812b 100644
--- a/google/cloud/aiplatform_v1beta1/services/model_service/transports/base.py
+++ b/google/cloud/aiplatform_v1beta1/services/model_service/transports/base.py
@@ -201,6 +201,11 @@ def _prep_wrapped_messages(self, client_info):
                 default_timeout=None,
                 client_info=client_info,
             ),
+            self.batch_import_evaluated_annotations: gapic_v1.method.wrap_method(
+                self.batch_import_evaluated_annotations,
+                default_timeout=None,
+                client_info=client_info,
+            ),
             self.get_model_evaluation: gapic_v1.method.wrap_method(
                 self.get_model_evaluation,
                 default_timeout=5.0,
@@ -365,6 +370,18 @@ def batch_import_model_evaluation_slices(
     ]:
         raise NotImplementedError()
 
+    @property
+    def batch_import_evaluated_annotations(
+        self,
+    ) -> Callable[
+        [model_service.BatchImportEvaluatedAnnotationsRequest],
+        Union[
+            model_service.BatchImportEvaluatedAnnotationsResponse,
+            Awaitable[model_service.BatchImportEvaluatedAnnotationsResponse],
+        ],
+    ]:
+        raise NotImplementedError()
+
     @property
     def get_model_evaluation(
         self,
diff --git a/google/cloud/aiplatform_v1beta1/services/model_service/transports/grpc.py b/google/cloud/aiplatform_v1beta1/services/model_service/transports/grpc.py
index 14da53f383..0690c76c83 100644
--- a/google/cloud/aiplatform_v1beta1/services/model_service/transports/grpc.py
+++ b/google/cloud/aiplatform_v1beta1/services/model_service/transports/grpc.py
@@ -460,8 +460,9 @@ def delete_model_version(
         Deletes a Model version.
 
         Model version can only be deleted if there are no
-        [DeployedModels][] created from it. Deleting the only version in
-        the Model is not allowed. Use
+        [DeployedModels][google.cloud.aiplatform.v1beta1.DeployedModel]
+        created from it. Deleting the only version in the Model is not
+        allowed. Use
         [DeleteModel][google.cloud.aiplatform.v1beta1.ModelService.DeleteModel]
         for deleting the Model instead.
 
@@ -631,6 +632,39 @@ def batch_import_model_evaluation_slices(
             )
         return self._stubs["batch_import_model_evaluation_slices"]
 
+    @property
+    def batch_import_evaluated_annotations(
+        self,
+    ) -> Callable[
+        [model_service.BatchImportEvaluatedAnnotationsRequest],
+        model_service.BatchImportEvaluatedAnnotationsResponse,
+    ]:
+        r"""Return a callable for the batch import evaluated
+        annotations method over gRPC.
+
+        Imports a list of externally generated
+        EvaluatedAnnotations.
+
+        Returns:
+            Callable[[~.BatchImportEvaluatedAnnotationsRequest],
+                    ~.BatchImportEvaluatedAnnotationsResponse]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "batch_import_evaluated_annotations" not in self._stubs:
+            self._stubs[
+                "batch_import_evaluated_annotations"
+            ] = self.grpc_channel.unary_unary(
+                "/google.cloud.aiplatform.v1beta1.ModelService/BatchImportEvaluatedAnnotations",
+                request_serializer=model_service.BatchImportEvaluatedAnnotationsRequest.serialize,
+                response_deserializer=model_service.BatchImportEvaluatedAnnotationsResponse.deserialize,
+            )
+        return self._stubs["batch_import_evaluated_annotations"]
+
     @property
     def get_model_evaluation(
         self,
diff --git a/google/cloud/aiplatform_v1beta1/services/model_service/transports/grpc_asyncio.py b/google/cloud/aiplatform_v1beta1/services/model_service/transports/grpc_asyncio.py
index 1ffb3be706..f86ce8a30a 100644
--- a/google/cloud/aiplatform_v1beta1/services/model_service/transports/grpc_asyncio.py
+++ b/google/cloud/aiplatform_v1beta1/services/model_service/transports/grpc_asyncio.py
@@ -476,8 +476,9 @@ def delete_model_version(
         Deletes a Model version.
 
         Model version can only be deleted if there are no
-        [DeployedModels][] created from it. Deleting the only version in
-        the Model is not allowed. Use
+        [DeployedModels][google.cloud.aiplatform.v1beta1.DeployedModel]
+        created from it. Deleting the only version in the Model is not
+        allowed. Use
         [DeleteModel][google.cloud.aiplatform.v1beta1.ModelService.DeleteModel]
         for deleting the Model instead.
 
@@ -651,6 +652,39 @@ def batch_import_model_evaluation_slices(
             )
         return self._stubs["batch_import_model_evaluation_slices"]
 
+    @property
+    def batch_import_evaluated_annotations(
+        self,
+    ) -> Callable[
+        [model_service.BatchImportEvaluatedAnnotationsRequest],
+        Awaitable[model_service.BatchImportEvaluatedAnnotationsResponse],
+    ]:
+        r"""Return a callable for the batch import evaluated
+        annotations method over gRPC.
+
+        Imports a list of externally generated
+        EvaluatedAnnotations.
+
+        Returns:
+            Callable[[~.BatchImportEvaluatedAnnotationsRequest],
+                    Awaitable[~.BatchImportEvaluatedAnnotationsResponse]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "batch_import_evaluated_annotations" not in self._stubs:
+            self._stubs[
+                "batch_import_evaluated_annotations"
+            ] = self.grpc_channel.unary_unary(
+                "/google.cloud.aiplatform.v1beta1.ModelService/BatchImportEvaluatedAnnotations",
+                request_serializer=model_service.BatchImportEvaluatedAnnotationsRequest.serialize,
+                response_deserializer=model_service.BatchImportEvaluatedAnnotationsResponse.deserialize,
+            )
+        return self._stubs["batch_import_evaluated_annotations"]
+
     @property
     def get_model_evaluation(
         self,
diff --git a/google/cloud/aiplatform_v1beta1/services/tensorboard_service/async_client.py b/google/cloud/aiplatform_v1beta1/services/tensorboard_service/async_client.py
index d654457c65..9b7b3e7fe8 100644
--- a/google/cloud/aiplatform_v1beta1/services/tensorboard_service/async_client.py
+++ b/google/cloud/aiplatform_v1beta1/services/tensorboard_service/async_client.py
@@ -559,7 +559,7 @@ async def sample_read_tensorboard_usage():
         Returns:
             google.cloud.aiplatform_v1beta1.types.ReadTensorboardUsageResponse:
                 Response message for
-                [TensorboardService.GetTensorboardUsage][].
+                   [TensorboardService.ReadTensorboardUsage][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardUsage].
 
         """
         # Create or coerce a protobuf request object.
diff --git a/google/cloud/aiplatform_v1beta1/services/tensorboard_service/client.py b/google/cloud/aiplatform_v1beta1/services/tensorboard_service/client.py
index de0e41350f..db0403eb0a 100644
--- a/google/cloud/aiplatform_v1beta1/services/tensorboard_service/client.py
+++ b/google/cloud/aiplatform_v1beta1/services/tensorboard_service/client.py
@@ -846,7 +846,7 @@ def sample_read_tensorboard_usage():
         Returns:
             google.cloud.aiplatform_v1beta1.types.ReadTensorboardUsageResponse:
                 Response message for
-                [TensorboardService.GetTensorboardUsage][].
+                   [TensorboardService.ReadTensorboardUsage][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardUsage].
 
         """
         # Create or coerce a protobuf request object.
diff --git a/google/cloud/aiplatform_v1beta1/services/vizier_service/async_client.py b/google/cloud/aiplatform_v1beta1/services/vizier_service/async_client.py
index fbab9274e6..6aa3577f21 100644
--- a/google/cloud/aiplatform_v1beta1/services/vizier_service/async_client.py
+++ b/google/cloud/aiplatform_v1beta1/services/vizier_service/async_client.py
@@ -1472,7 +1472,7 @@ async def check_trial_early_stopping_state(
         r"""Checks whether a Trial should stop or not. Returns a
         long-running operation. When the operation is successful, it
         will contain a
-        [CheckTrialEarlyStoppingStateResponse][google.cloud.ml.v1.CheckTrialEarlyStoppingStateResponse].
+        [CheckTrialEarlyStoppingStateResponse][google.cloud.aiplatform.v1beta1.CheckTrialEarlyStoppingStateResponse].
 
         .. code-block:: python
 
diff --git a/google/cloud/aiplatform_v1beta1/services/vizier_service/client.py b/google/cloud/aiplatform_v1beta1/services/vizier_service/client.py
index 45462254e1..e96603853d 100644
--- a/google/cloud/aiplatform_v1beta1/services/vizier_service/client.py
+++ b/google/cloud/aiplatform_v1beta1/services/vizier_service/client.py
@@ -1742,7 +1742,7 @@ def check_trial_early_stopping_state(
         r"""Checks whether a Trial should stop or not. Returns a
         long-running operation. When the operation is successful, it
         will contain a
-        [CheckTrialEarlyStoppingStateResponse][google.cloud.ml.v1.CheckTrialEarlyStoppingStateResponse].
+        [CheckTrialEarlyStoppingStateResponse][google.cloud.aiplatform.v1beta1.CheckTrialEarlyStoppingStateResponse].
 
         .. code-block:: python
 
diff --git a/google/cloud/aiplatform_v1beta1/services/vizier_service/transports/grpc.py b/google/cloud/aiplatform_v1beta1/services/vizier_service/transports/grpc.py
index 1c7d454697..11045f55ba 100644
--- a/google/cloud/aiplatform_v1beta1/services/vizier_service/transports/grpc.py
+++ b/google/cloud/aiplatform_v1beta1/services/vizier_service/transports/grpc.py
@@ -589,7 +589,7 @@ def check_trial_early_stopping_state(
         Checks whether a Trial should stop or not. Returns a
         long-running operation. When the operation is successful, it
         will contain a
-        [CheckTrialEarlyStoppingStateResponse][google.cloud.ml.v1.CheckTrialEarlyStoppingStateResponse].
+        [CheckTrialEarlyStoppingStateResponse][google.cloud.aiplatform.v1beta1.CheckTrialEarlyStoppingStateResponse].
 
         Returns:
             Callable[[~.CheckTrialEarlyStoppingStateRequest],
diff --git a/google/cloud/aiplatform_v1beta1/services/vizier_service/transports/grpc_asyncio.py b/google/cloud/aiplatform_v1beta1/services/vizier_service/transports/grpc_asyncio.py
index d667355ad8..167e32f411 100644
--- a/google/cloud/aiplatform_v1beta1/services/vizier_service/transports/grpc_asyncio.py
+++ b/google/cloud/aiplatform_v1beta1/services/vizier_service/transports/grpc_asyncio.py
@@ -602,7 +602,7 @@ def check_trial_early_stopping_state(
         Checks whether a Trial should stop or not. Returns a
         long-running operation. When the operation is successful, it
         will contain a
-        [CheckTrialEarlyStoppingStateResponse][google.cloud.ml.v1.CheckTrialEarlyStoppingStateResponse].
+        [CheckTrialEarlyStoppingStateResponse][google.cloud.aiplatform.v1beta1.CheckTrialEarlyStoppingStateResponse].
 
         Returns:
             Callable[[~.CheckTrialEarlyStoppingStateRequest],
diff --git a/google/cloud/aiplatform_v1beta1/types/__init__.py b/google/cloud/aiplatform_v1beta1/types/__init__.py
index 974d60e100..f3748a665c 100644
--- a/google/cloud/aiplatform_v1beta1/types/__init__.py
+++ b/google/cloud/aiplatform_v1beta1/types/__init__.py
@@ -51,6 +51,7 @@
 from .dataset import (
     Dataset,
     ExportDataConfig,
+    ExportFractionSplit,
     ImportDataConfig,
 )
 from .dataset_service import (
@@ -128,6 +129,11 @@
 from .env_var import (
     EnvVar,
 )
+from .evaluated_annotation import (
+    ErrorAnalysisAnnotation,
+    EvaluatedAnnotation,
+    EvaluatedAnnotationExplanation,
+)
 from .event import (
     Event,
 )
@@ -347,6 +353,12 @@
 from .manual_batch_tuning_parameters import (
     ManualBatchTuningParameters,
 )
+from .match_service import (
+    FindNeighborsRequest,
+    FindNeighborsResponse,
+    ReadIndexDatapointsRequest,
+    ReadIndexDatapointsResponse,
+)
 from .metadata_schema import (
     MetadataSchema,
 )
@@ -445,6 +457,8 @@
     ThresholdConfig,
 )
 from .model_service import (
+    BatchImportEvaluatedAnnotationsRequest,
+    BatchImportEvaluatedAnnotationsResponse,
     BatchImportModelEvaluationSlicesRequest,
     BatchImportModelEvaluationSlicesResponse,
     CopyModelOperationMetadata,
@@ -676,6 +690,7 @@
     "TrainingConfig",
     "Dataset",
     "ExportDataConfig",
+    "ExportFractionSplit",
     "ImportDataConfig",
     "CreateDatasetOperationMetadata",
     "CreateDatasetRequest",
@@ -732,6 +747,9 @@
     "UpdateEndpointRequest",
     "EntityType",
     "EnvVar",
+    "ErrorAnalysisAnnotation",
+    "EvaluatedAnnotation",
+    "EvaluatedAnnotationExplanation",
     "Event",
     "Execution",
     "Attribution",
@@ -910,6 +928,10 @@
     "NfsMount",
     "ResourcesConsumed",
     "ManualBatchTuningParameters",
+    "FindNeighborsRequest",
+    "FindNeighborsResponse",
+    "ReadIndexDatapointsRequest",
+    "ReadIndexDatapointsResponse",
     "MetadataSchema",
     "AddContextArtifactsAndExecutionsRequest",
     "AddContextArtifactsAndExecutionsResponse",
@@ -987,6 +1009,8 @@
     "ModelMonitoringObjectiveConfig",
     "SamplingStrategy",
     "ThresholdConfig",
+    "BatchImportEvaluatedAnnotationsRequest",
+    "BatchImportEvaluatedAnnotationsResponse",
     "BatchImportModelEvaluationSlicesRequest",
     "BatchImportModelEvaluationSlicesResponse",
     "CopyModelOperationMetadata",
diff --git a/google/cloud/aiplatform_v1beta1/types/accelerator_type.py b/google/cloud/aiplatform_v1beta1/types/accelerator_type.py
index dc64b26be9..7e375edad6 100644
--- a/google/cloud/aiplatform_v1beta1/types/accelerator_type.py
+++ b/google/cloud/aiplatform_v1beta1/types/accelerator_type.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
@@ -28,6 +30,7 @@
 
 class AcceleratorType(proto.Enum):
     r"""Represents a hardware accelerator type.
+    NEXT ID: 11.
 
     Values:
         ACCELERATOR_TYPE_UNSPECIFIED (0):
@@ -51,6 +54,8 @@ class AcceleratorType(proto.Enum):
             TPU v2.
         TPU_V3 (7):
             TPU v3.
+        TPU_V4_POD (10):
+            TPU v4.
     """
     ACCELERATOR_TYPE_UNSPECIFIED = 0
     NVIDIA_TESLA_K80 = 1
@@ -62,6 +67,7 @@ class AcceleratorType(proto.Enum):
     NVIDIA_A100_80GB = 9
     TPU_V2 = 6
     TPU_V3 = 7
+    TPU_V4_POD = 10
 
 
 __all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/google/cloud/aiplatform_v1beta1/types/annotation.py b/google/cloud/aiplatform_v1beta1/types/annotation.py
index 6e75a81c6b..cec1875b7a 100644
--- a/google/cloud/aiplatform_v1beta1/types/annotation.py
+++ b/google/cloud/aiplatform_v1beta1/types/annotation.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/annotation_spec.py b/google/cloud/aiplatform_v1beta1/types/annotation_spec.py
index 7a265915e0..bf128dfe6b 100644
--- a/google/cloud/aiplatform_v1beta1/types/annotation_spec.py
+++ b/google/cloud/aiplatform_v1beta1/types/annotation_spec.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/artifact.py b/google/cloud/aiplatform_v1beta1/types/artifact.py
index 20a236b911..03554fe61a 100644
--- a/google/cloud/aiplatform_v1beta1/types/artifact.py
+++ b/google/cloud/aiplatform_v1beta1/types/artifact.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/batch_prediction_job.py b/google/cloud/aiplatform_v1beta1/types/batch_prediction_job.py
index 71e366f42e..fbb96e5647 100644
--- a/google/cloud/aiplatform_v1beta1/types/batch_prediction_job.py
+++ b/google/cloud/aiplatform_v1beta1/types/batch_prediction_job.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
@@ -70,8 +72,12 @@ class BatchPredictionJob(proto.Message):
             unmanaged_container_model must be set.
 
             The model resource name may contain version id or version
-            alias to specify the version, if no version is specified,
-            the default version will be used.
+            alias to specify the version. Example:
+            ``projects/{project}/locations/{location}/models/{model}@2``
+            or
+            ``projects/{project}/locations/{location}/models/{model}@golden``
+            if no version is specified, the default version will be
+            deployed.
         model_version_id (str):
             Output only. The version ID of the Model that
             produces the predictions via this job.
@@ -233,6 +239,16 @@ class BatchPredictionJob(proto.Message):
         model_monitoring_status (google.rpc.status_pb2.Status):
             Output only. The running status of the model
             monitoring pipeline.
+        disable_container_logging (bool):
+            For custom-trained Models and AutoML Tabular Models, the
+            container of the DeployedModel instances will send
+            ``stderr`` and ``stdout`` streams to Stackdriver Logging by
+            default. Please note that the logs incur cost, which are
+            subject to `Cloud Logging
+            pricing <https://cloud.google.com/stackdriver/pricing>`__.
+
+            User can disable container logging by setting this flag to
+            true.
     """
 
     class InputConfig(proto.Message):
@@ -695,6 +711,10 @@ class OutputInfo(proto.Message):
         number=32,
         message=status_pb2.Status,
     )
+    disable_container_logging: bool = proto.Field(
+        proto.BOOL,
+        number=34,
+    )
 
 
 __all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/google/cloud/aiplatform_v1beta1/types/completion_stats.py b/google/cloud/aiplatform_v1beta1/types/completion_stats.py
index 1666c680d4..9425bbd85b 100644
--- a/google/cloud/aiplatform_v1beta1/types/completion_stats.py
+++ b/google/cloud/aiplatform_v1beta1/types/completion_stats.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/context.py b/google/cloud/aiplatform_v1beta1/types/context.py
index ae3556c712..1e173cb281 100644
--- a/google/cloud/aiplatform_v1beta1/types/context.py
+++ b/google/cloud/aiplatform_v1beta1/types/context.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/custom_job.py b/google/cloud/aiplatform_v1beta1/types/custom_job.py
index 116587390b..d74757647d 100644
--- a/google/cloud/aiplatform_v1beta1/types/custom_job.py
+++ b/google/cloud/aiplatform_v1beta1/types/custom_job.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/data_item.py b/google/cloud/aiplatform_v1beta1/types/data_item.py
index 98dacc277b..24c2aa1ddf 100644
--- a/google/cloud/aiplatform_v1beta1/types/data_item.py
+++ b/google/cloud/aiplatform_v1beta1/types/data_item.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/data_labeling_job.py b/google/cloud/aiplatform_v1beta1/types/data_labeling_job.py
index 246d2d3998..3a03a3878e 100644
--- a/google/cloud/aiplatform_v1beta1/types/data_labeling_job.py
+++ b/google/cloud/aiplatform_v1beta1/types/data_labeling_job.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/dataset.py b/google/cloud/aiplatform_v1beta1/types/dataset.py
index a3386bd28b..7daa228cd3 100644
--- a/google/cloud/aiplatform_v1beta1/types/dataset.py
+++ b/google/cloud/aiplatform_v1beta1/types/dataset.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
@@ -30,6 +32,7 @@
         "Dataset",
         "ImportDataConfig",
         "ExportDataConfig",
+        "ExportFractionSplit",
     },
 )
 
@@ -257,6 +260,11 @@ class ExportDataConfig(proto.Message):
             describe the output format.
 
             This field is a member of `oneof`_ ``destination``.
+        fraction_split (google.cloud.aiplatform_v1beta1.types.ExportFractionSplit):
+            Split based on fractions defining the size of
+            each set.
+
+            This field is a member of `oneof`_ ``split``.
         annotations_filter (str):
             A filter on Annotations of the Dataset. Only Annotations on
             to-be-exported DataItems(specified by [data_items_filter][])
@@ -271,10 +279,51 @@ class ExportDataConfig(proto.Message):
         oneof="destination",
         message=io.GcsDestination,
     )
+    fraction_split: "ExportFractionSplit" = proto.Field(
+        proto.MESSAGE,
+        number=5,
+        oneof="split",
+        message="ExportFractionSplit",
+    )
     annotations_filter: str = proto.Field(
         proto.STRING,
         number=2,
     )
 
 
+class ExportFractionSplit(proto.Message):
+    r"""Assigns the input data to training, validation, and test sets as per
+    the given fractions. Any of ``training_fraction``,
+    ``validation_fraction`` and ``test_fraction`` may optionally be
+    provided, they must sum to up to 1. If the provided ones sum to less
+    than 1, the remainder is assigned to sets as decided by Vertex AI.
+    If none of the fractions are set, by default roughly 80% of data is
+    used for training, 10% for validation, and 10% for test.
+
+    Attributes:
+        training_fraction (float):
+            The fraction of the input data that is to be
+            used to train the Model.
+        validation_fraction (float):
+            The fraction of the input data that is to be
+            used to validate the Model.
+        test_fraction (float):
+            The fraction of the input data that is to be
+            used to evaluate the Model.
+    """
+
+    training_fraction: float = proto.Field(
+        proto.DOUBLE,
+        number=1,
+    )
+    validation_fraction: float = proto.Field(
+        proto.DOUBLE,
+        number=2,
+    )
+    test_fraction: float = proto.Field(
+        proto.DOUBLE,
+        number=3,
+    )
+
+
 __all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/google/cloud/aiplatform_v1beta1/types/dataset_service.py b/google/cloud/aiplatform_v1beta1/types/dataset_service.py
index a79fa74397..2a9de16ace 100644
--- a/google/cloud/aiplatform_v1beta1/types/dataset_service.py
+++ b/google/cloud/aiplatform_v1beta1/types/dataset_service.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/deployed_index_ref.py b/google/cloud/aiplatform_v1beta1/types/deployed_index_ref.py
index 4d7be5f0b6..be614742af 100644
--- a/google/cloud/aiplatform_v1beta1/types/deployed_index_ref.py
+++ b/google/cloud/aiplatform_v1beta1/types/deployed_index_ref.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/deployed_model_ref.py b/google/cloud/aiplatform_v1beta1/types/deployed_model_ref.py
index 2bc51fa1db..b70162b92d 100644
--- a/google/cloud/aiplatform_v1beta1/types/deployed_model_ref.py
+++ b/google/cloud/aiplatform_v1beta1/types/deployed_model_ref.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/deployment_resource_pool.py b/google/cloud/aiplatform_v1beta1/types/deployment_resource_pool.py
index 992695df40..b54abb28f8 100644
--- a/google/cloud/aiplatform_v1beta1/types/deployment_resource_pool.py
+++ b/google/cloud/aiplatform_v1beta1/types/deployment_resource_pool.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/deployment_resource_pool_service.py b/google/cloud/aiplatform_v1beta1/types/deployment_resource_pool_service.py
index 464a2b66b9..e79e689944 100644
--- a/google/cloud/aiplatform_v1beta1/types/deployment_resource_pool_service.py
+++ b/google/cloud/aiplatform_v1beta1/types/deployment_resource_pool_service.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/encryption_spec.py b/google/cloud/aiplatform_v1beta1/types/encryption_spec.py
index 0ee6f1c287..347b1bdfaf 100644
--- a/google/cloud/aiplatform_v1beta1/types/encryption_spec.py
+++ b/google/cloud/aiplatform_v1beta1/types/encryption_spec.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/endpoint.py b/google/cloud/aiplatform_v1beta1/types/endpoint.py
index ec9d6a33f9..41a0da28ce 100644
--- a/google/cloud/aiplatform_v1beta1/types/endpoint.py
+++ b/google/cloud/aiplatform_v1beta1/types/endpoint.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
@@ -233,15 +235,17 @@ class DeployedModel(proto.Message):
             This value should be 1-10 characters, and valid characters
             are /[0-9]/.
         model (str):
-            Required. The resource name of the Model that
-            this is the deployment of. Note that the Model
-            may be in a different location than the
-            DeployedModel's Endpoint.
-
-            The resource name may contain version id or
-            version alias to specify the version, if no
-            version is specified, the default version will
-            be deployed.
+            Required. The resource name of the Model that this is the
+            deployment of. Note that the Model may be in a different
+            location than the DeployedModel's Endpoint.
+
+            The resource name may contain version id or version alias to
+            specify the version. Example:
+            ``projects/{project}/locations/{location}/models/{model}@2``
+            or
+            ``projects/{project}/locations/{location}/models/{model}@golden``
+            if no version is specified, the default version will be
+            deployed.
         model_version_id (str):
             Output only. The version ID of the model that
             is deployed.
diff --git a/google/cloud/aiplatform_v1beta1/types/endpoint_service.py b/google/cloud/aiplatform_v1beta1/types/endpoint_service.py
index ca54690421..b46155dd22 100644
--- a/google/cloud/aiplatform_v1beta1/types/endpoint_service.py
+++ b/google/cloud/aiplatform_v1beta1/types/endpoint_service.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/entity_type.py b/google/cloud/aiplatform_v1beta1/types/entity_type.py
index 62c85388ca..d06cac673b 100644
--- a/google/cloud/aiplatform_v1beta1/types/entity_type.py
+++ b/google/cloud/aiplatform_v1beta1/types/entity_type.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/env_var.py b/google/cloud/aiplatform_v1beta1/types/env_var.py
index d765d866bf..e531a5d658 100644
--- a/google/cloud/aiplatform_v1beta1/types/env_var.py
+++ b/google/cloud/aiplatform_v1beta1/types/env_var.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/evaluated_annotation.py b/google/cloud/aiplatform_v1beta1/types/evaluated_annotation.py
new file mode 100644
index 0000000000..958668a070
--- /dev/null
+++ b/google/cloud/aiplatform_v1beta1/types/evaluated_annotation.py
@@ -0,0 +1,288 @@
+# -*- coding: utf-8 -*-
+# Copyright 2022 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from __future__ import annotations
+
+from typing import MutableMapping, MutableSequence
+
+import proto  # type: ignore
+
+from google.cloud.aiplatform_v1beta1.types import explanation as gca_explanation
+from google.protobuf import struct_pb2  # type: ignore
+
+
+__protobuf__ = proto.module(
+    package="google.cloud.aiplatform.v1beta1",
+    manifest={
+        "EvaluatedAnnotation",
+        "EvaluatedAnnotationExplanation",
+        "ErrorAnalysisAnnotation",
+    },
+)
+
+
+class EvaluatedAnnotation(proto.Message):
+    r"""True positive, false positive, or false negative.
+
+    EvaluatedAnnotation is only available under ModelEvaluationSlice
+    with slice of ``annotationSpec`` dimension.
+
+    Attributes:
+        type_ (google.cloud.aiplatform_v1beta1.types.EvaluatedAnnotation.EvaluatedAnnotationType):
+            Output only. Type of the EvaluatedAnnotation.
+        predictions (MutableSequence[google.protobuf.struct_pb2.Value]):
+            Output only. The model predicted annotations.
+
+            For true positive, there is one and only one prediction,
+            which matches the only one ground truth annotation in
+            [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths].
+
+            For false positive, there is one and only one prediction,
+            which doesn't match any ground truth annotation of the
+            corresponding
+            [data_item_view_id][EvaluatedAnnotation.data_item_view_id].
+
+            For false negative, there are zero or more predictions which
+            are similar to the only ground truth annotation in
+            [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths]
+            but not enough for a match.
+
+            The schema of the prediction is stored in
+            [ModelEvaluation.annotation_schema_uri][]
+        ground_truths (MutableSequence[google.protobuf.struct_pb2.Value]):
+            Output only. The ground truth Annotations, i.e. the
+            Annotations that exist in the test data the Model is
+            evaluated on.
+
+            For true positive, there is one and only one ground truth
+            annotation, which matches the only prediction in
+            [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].
+
+            For false positive, there are zero or more ground truth
+            annotations that are similar to the only prediction in
+            [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions],
+            but not enough for a match.
+
+            For false negative, there is one and only one ground truth
+            annotation, which doesn't match any predictions created by
+            the model.
+
+            The schema of the ground truth is stored in
+            [ModelEvaluation.annotation_schema_uri][]
+        data_item_payload (google.protobuf.struct_pb2.Value):
+            Output only. The data item payload that the
+            Model predicted this EvaluatedAnnotation on.
+        evaluated_data_item_view_id (str):
+            Output only. ID of the EvaluatedDataItemView under the same
+            ancestor ModelEvaluation. The EvaluatedDataItemView consists
+            of all ground truths and predictions on
+            [data_item_payload][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.data_item_payload].
+
+            Can be passed in
+            [GetEvaluatedDataItemView's][ModelService.GetEvaluatedDataItemView][]
+            [id][GetEvaluatedDataItemViewRequest.id].
+        explanations (MutableSequence[google.cloud.aiplatform_v1beta1.types.EvaluatedAnnotationExplanation]):
+            Explanations of
+            [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].
+            Each element of the explanations indicates the explanation
+            for one explanation Method.
+
+            The attributions list in the
+            [EvaluatedAnnotationExplanation.explanation][google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation.explanation]
+            object corresponds to the
+            [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions]
+            list. For example, the second element in the attributions
+            list explains the second element in the predictions list.
+        error_analysis_annotations (MutableSequence[google.cloud.aiplatform_v1beta1.types.ErrorAnalysisAnnotation]):
+            Annotations of model error analysis results.
+    """
+
+    class EvaluatedAnnotationType(proto.Enum):
+        r"""Describes the type of the EvaluatedAnnotation. The type is
+        determined
+
+        Values:
+            EVALUATED_ANNOTATION_TYPE_UNSPECIFIED (0):
+                Invalid value.
+            TRUE_POSITIVE (1):
+                The EvaluatedAnnotation is a true positive.
+                It has a prediction created by the Model and a
+                ground truth Annotation which the prediction
+                matches.
+            FALSE_POSITIVE (2):
+                The EvaluatedAnnotation is false positive. It
+                has a prediction created by the Model which does
+                not match any ground truth annotation.
+            FALSE_NEGATIVE (3):
+                The EvaluatedAnnotation is false negative. It
+                has a ground truth annotation which is not
+                matched by any of the model created predictions.
+        """
+        EVALUATED_ANNOTATION_TYPE_UNSPECIFIED = 0
+        TRUE_POSITIVE = 1
+        FALSE_POSITIVE = 2
+        FALSE_NEGATIVE = 3
+
+    type_: EvaluatedAnnotationType = proto.Field(
+        proto.ENUM,
+        number=1,
+        enum=EvaluatedAnnotationType,
+    )
+    predictions: MutableSequence[struct_pb2.Value] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=2,
+        message=struct_pb2.Value,
+    )
+    ground_truths: MutableSequence[struct_pb2.Value] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=3,
+        message=struct_pb2.Value,
+    )
+    data_item_payload: struct_pb2.Value = proto.Field(
+        proto.MESSAGE,
+        number=5,
+        message=struct_pb2.Value,
+    )
+    evaluated_data_item_view_id: str = proto.Field(
+        proto.STRING,
+        number=6,
+    )
+    explanations: MutableSequence[
+        "EvaluatedAnnotationExplanation"
+    ] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=8,
+        message="EvaluatedAnnotationExplanation",
+    )
+    error_analysis_annotations: MutableSequence[
+        "ErrorAnalysisAnnotation"
+    ] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=9,
+        message="ErrorAnalysisAnnotation",
+    )
+
+
+class EvaluatedAnnotationExplanation(proto.Message):
+    r"""Explanation result of the prediction produced by the Model.
+
+    Attributes:
+        explanation_type (str):
+            Explanation type.
+
+            For AutoML Image Classification models, possible values are:
+
+            -  ``image-integrated-gradients``
+            -  ``image-xrai``
+        explanation (google.cloud.aiplatform_v1beta1.types.Explanation):
+            Explanation attribution response details.
+    """
+
+    explanation_type: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    explanation: gca_explanation.Explanation = proto.Field(
+        proto.MESSAGE,
+        number=2,
+        message=gca_explanation.Explanation,
+    )
+
+
+class ErrorAnalysisAnnotation(proto.Message):
+    r"""Model error analysis for each annotation.
+
+    Attributes:
+        attributed_items (MutableSequence[google.cloud.aiplatform_v1beta1.types.ErrorAnalysisAnnotation.AttributedItem]):
+            Attributed items for a given annotation,
+            typically representing neighbors from the
+            training sets constrained by the query type.
+        query_type (google.cloud.aiplatform_v1beta1.types.ErrorAnalysisAnnotation.QueryType):
+            The query type used for finding the
+            attributed items.
+        outlier_score (float):
+            The outlier score of this annotated item.
+            Usually defined as the min of all distances from
+            attributed items.
+        outlier_threshold (float):
+            The threshold used to determine if this
+            annotation is an outlier or not.
+    """
+
+    class QueryType(proto.Enum):
+        r"""The query type used for finding the attributed items.
+
+        Values:
+            QUERY_TYPE_UNSPECIFIED (0):
+                Unspecified query type for model error
+                analysis.
+            ALL_SIMILAR (1):
+                Query similar samples across all classes in
+                the dataset.
+            SAME_CLASS_SIMILAR (2):
+                Query similar samples from the same class of
+                the input sample.
+            SAME_CLASS_DISSIMILAR (3):
+                Query dissimilar samples from the same class
+                of the input sample.
+        """
+        QUERY_TYPE_UNSPECIFIED = 0
+        ALL_SIMILAR = 1
+        SAME_CLASS_SIMILAR = 2
+        SAME_CLASS_DISSIMILAR = 3
+
+    class AttributedItem(proto.Message):
+        r"""Attributed items for a given annotation, typically
+        representing neighbors from the training sets constrained by the
+        query type.
+
+        Attributes:
+            annotation_resource_name (str):
+                The unique ID for each annotation. Used by FE
+                to allocate the annotation in DB.
+            distance (float):
+                The distance of this item to the annotation.
+        """
+
+        annotation_resource_name: str = proto.Field(
+            proto.STRING,
+            number=1,
+        )
+        distance: float = proto.Field(
+            proto.DOUBLE,
+            number=2,
+        )
+
+    attributed_items: MutableSequence[AttributedItem] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=1,
+        message=AttributedItem,
+    )
+    query_type: QueryType = proto.Field(
+        proto.ENUM,
+        number=2,
+        enum=QueryType,
+    )
+    outlier_score: float = proto.Field(
+        proto.DOUBLE,
+        number=3,
+    )
+    outlier_threshold: float = proto.Field(
+        proto.DOUBLE,
+        number=4,
+    )
+
+
+__all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/google/cloud/aiplatform_v1beta1/types/event.py b/google/cloud/aiplatform_v1beta1/types/event.py
index c04c51cfc5..d4ab727b75 100644
--- a/google/cloud/aiplatform_v1beta1/types/event.py
+++ b/google/cloud/aiplatform_v1beta1/types/event.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/execution.py b/google/cloud/aiplatform_v1beta1/types/execution.py
index f3ad14d5bf..6b2d53da36 100644
--- a/google/cloud/aiplatform_v1beta1/types/execution.py
+++ b/google/cloud/aiplatform_v1beta1/types/execution.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/explanation.py b/google/cloud/aiplatform_v1beta1/types/explanation.py
index 19b12ca37b..cc683f8c80 100644
--- a/google/cloud/aiplatform_v1beta1/types/explanation.py
+++ b/google/cloud/aiplatform_v1beta1/types/explanation.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/explanation_metadata.py b/google/cloud/aiplatform_v1beta1/types/explanation_metadata.py
index 441dffbda9..b253225876 100644
--- a/google/cloud/aiplatform_v1beta1/types/explanation_metadata.py
+++ b/google/cloud/aiplatform_v1beta1/types/explanation_metadata.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/feature.py b/google/cloud/aiplatform_v1beta1/types/feature.py
index d5ee95a8a3..735e9e2168 100644
--- a/google/cloud/aiplatform_v1beta1/types/feature.py
+++ b/google/cloud/aiplatform_v1beta1/types/feature.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/feature_monitoring_stats.py b/google/cloud/aiplatform_v1beta1/types/feature_monitoring_stats.py
index a76b2fa61e..79a9b014c4 100644
--- a/google/cloud/aiplatform_v1beta1/types/feature_monitoring_stats.py
+++ b/google/cloud/aiplatform_v1beta1/types/feature_monitoring_stats.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/feature_selector.py b/google/cloud/aiplatform_v1beta1/types/feature_selector.py
index 01c05f8b31..c822d827f5 100644
--- a/google/cloud/aiplatform_v1beta1/types/feature_selector.py
+++ b/google/cloud/aiplatform_v1beta1/types/feature_selector.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/featurestore.py b/google/cloud/aiplatform_v1beta1/types/featurestore.py
index b8602b0e7b..ac1bd67cf6 100644
--- a/google/cloud/aiplatform_v1beta1/types/featurestore.py
+++ b/google/cloud/aiplatform_v1beta1/types/featurestore.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
@@ -149,6 +151,17 @@ class Scaling(proto.Message):
                     The maximum number of nodes to scale up to. Must be greater
                     than min_node_count, and less than or equal to 10 times of
                     'min_node_count'.
+                cpu_utilization_target (int):
+                    Optional. The cpu utilization that the
+                    Autoscaler should be trying to achieve. This
+                    number is on a scale from 0 (no utilization) to
+                    100 (total utilization), and is limited between
+                    10 and 80. When a cluster's CPU utilization
+                    exceeds the target that you have set, Bigtable
+                    immediately adds nodes to the cluster. When CPU
+                    utilization is substantially lower than the
+                    target, Bigtable removes nodes. If not set or
+                    set to 0, default to 50.
             """
 
             min_node_count: int = proto.Field(
@@ -159,6 +172,10 @@ class Scaling(proto.Message):
                 proto.INT32,
                 number=2,
             )
+            cpu_utilization_target: int = proto.Field(
+                proto.INT32,
+                number=3,
+            )
 
         fixed_node_count: int = proto.Field(
             proto.INT32,
diff --git a/google/cloud/aiplatform_v1beta1/types/featurestore_monitoring.py b/google/cloud/aiplatform_v1beta1/types/featurestore_monitoring.py
index 008ad0ca3d..d0f9ff85f0 100644
--- a/google/cloud/aiplatform_v1beta1/types/featurestore_monitoring.py
+++ b/google/cloud/aiplatform_v1beta1/types/featurestore_monitoring.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
@@ -72,19 +74,18 @@ class SnapshotAnalysis(proto.Message):
                 the EntityType-level config. Explicitly Disable the snapshot
                 analysis based monitoring.
             monitoring_interval (google.protobuf.duration_pb2.Duration):
-                Configuration of the snapshot analysis based
-                monitoring pipeline running interval. The value
-                is rolled up to full day.
-            monitoring_interval_days (int):
                 Configuration of the snapshot analysis based monitoring
-                pipeline running interval. The value indicates number of
-                days. If both
-                [FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days][google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days]
-                and
-                [FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval][google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval]
-                are set when creating/updating EntityTypes/Features,
-                [FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days][google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days]
+                pipeline running interval. The value is rolled up to full
+                day. If both
+                [monitoring_interval_days][google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days]
+                and the deprecated ``monitoring_interval`` field are set
+                when creating/updating EntityTypes/Features,
+                [monitoring_interval_days][google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis.monitoring_interval_days]
                 will be used.
+            monitoring_interval_days (int):
+                Configuration of the snapshot analysis based
+                monitoring pipeline running interval. The value
+                indicates number of days.
             staleness_days (int):
                 Customized export features time window for
                 snapshot analysis. Unit is one day. Default
@@ -113,7 +114,9 @@ class SnapshotAnalysis(proto.Message):
     class ImportFeaturesAnalysis(proto.Message):
         r"""Configuration of the Featurestore's ImportFeature Analysis Based
         Monitoring. This type of analysis generates statistics for values of
-        each Feature imported by every [ImportFeatureValues][] operation.
+        each Feature imported by every
+        [ImportFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.ImportFeatureValues]
+        operation.
 
         Attributes:
             state (google.cloud.aiplatform_v1beta1.types.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.State):
@@ -159,7 +162,9 @@ class State(proto.Enum):
 
         class Baseline(proto.Enum):
             r"""Defines the baseline to do anomaly detection for feature values
-            imported by each [ImportFeatureValues][] operation.
+            imported by each
+            [ImportFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.ImportFeatureValues]
+            operation.
 
             Values:
                 BASELINE_UNSPECIFIED (0):
diff --git a/google/cloud/aiplatform_v1beta1/types/featurestore_online_service.py b/google/cloud/aiplatform_v1beta1/types/featurestore_online_service.py
index ee0e38dd22..f9a9a77395 100644
--- a/google/cloud/aiplatform_v1beta1/types/featurestore_online_service.py
+++ b/google/cloud/aiplatform_v1beta1/types/featurestore_online_service.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/featurestore_service.py b/google/cloud/aiplatform_v1beta1/types/featurestore_service.py
index 153dc89bf5..28f48c09eb 100644
--- a/google/cloud/aiplatform_v1beta1/types/featurestore_service.py
+++ b/google/cloud/aiplatform_v1beta1/types/featurestore_service.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
@@ -1832,8 +1834,100 @@ class DeleteFeatureValuesResponse(proto.Message):
     r"""Response message for
     [FeaturestoreService.DeleteFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeatureValues].
 
+    This message has `oneof`_ fields (mutually exclusive fields).
+    For each oneof, at most one member field can be set at the same time.
+    Setting any member of the oneof automatically clears all other
+    members.
+
+    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
+    Attributes:
+        select_entity (google.cloud.aiplatform_v1beta1.types.DeleteFeatureValuesResponse.SelectEntity):
+            Response for request specifying the entities
+            to delete
+
+            This field is a member of `oneof`_ ``response``.
+        select_time_range_and_feature (google.cloud.aiplatform_v1beta1.types.DeleteFeatureValuesResponse.SelectTimeRangeAndFeature):
+            Response for request specifying time range
+            and feature
+
+            This field is a member of `oneof`_ ``response``.
     """
 
+    class SelectEntity(proto.Message):
+        r"""Response message if the request uses the SelectEntity option.
+
+        Attributes:
+            offline_storage_deleted_entity_row_count (int):
+                The count of deleted entity rows in the
+                offline storage. Each row corresponds to the
+                combination of an entity ID and a timestamp. One
+                entity ID can have multiple rows in the offline
+                storage.
+            online_storage_deleted_entity_count (int):
+                The count of deleted entities in the online
+                storage. Each entity ID corresponds to one
+                entity.
+        """
+
+        offline_storage_deleted_entity_row_count: int = proto.Field(
+            proto.INT64,
+            number=1,
+        )
+        online_storage_deleted_entity_count: int = proto.Field(
+            proto.INT64,
+            number=2,
+        )
+
+    class SelectTimeRangeAndFeature(proto.Message):
+        r"""Response message if the request uses the
+        SelectTimeRangeAndFeature option.
+
+        Attributes:
+            impacted_feature_count (int):
+                The count of the features or columns
+                impacted. This is the same as the feature count
+                in the request.
+            offline_storage_modified_entity_row_count (int):
+                The count of modified entity rows in the
+                offline storage. Each row corresponds to the
+                combination of an entity ID and a timestamp. One
+                entity ID can have multiple rows in the offline
+                storage. Within each row, only the features
+                specified in the request are deleted.
+            online_storage_modified_entity_count (int):
+                The count of modified entities in the online
+                storage. Each entity ID corresponds to one
+                entity. Within each entity, only the features
+                specified in the request are deleted.
+        """
+
+        impacted_feature_count: int = proto.Field(
+            proto.INT64,
+            number=1,
+        )
+        offline_storage_modified_entity_row_count: int = proto.Field(
+            proto.INT64,
+            number=2,
+        )
+        online_storage_modified_entity_count: int = proto.Field(
+            proto.INT64,
+            number=3,
+        )
+
+    select_entity: SelectEntity = proto.Field(
+        proto.MESSAGE,
+        number=1,
+        oneof="response",
+        message=SelectEntity,
+    )
+    select_time_range_and_feature: SelectTimeRangeAndFeature = proto.Field(
+        proto.MESSAGE,
+        number=2,
+        oneof="response",
+        message=SelectTimeRangeAndFeature,
+    )
+
 
 class EntityIdSelector(proto.Message):
     r"""Selector for entityId. Getting ids from the given source.
diff --git a/google/cloud/aiplatform_v1beta1/types/hyperparameter_tuning_job.py b/google/cloud/aiplatform_v1beta1/types/hyperparameter_tuning_job.py
index 4695e73d13..b175a504a2 100644
--- a/google/cloud/aiplatform_v1beta1/types/hyperparameter_tuning_job.py
+++ b/google/cloud/aiplatform_v1beta1/types/hyperparameter_tuning_job.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/index.py b/google/cloud/aiplatform_v1beta1/types/index.py
index 2c00cc54ac..1225b9f659 100644
--- a/google/cloud/aiplatform_v1beta1/types/index.py
+++ b/google/cloud/aiplatform_v1beta1/types/index.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/index_endpoint.py b/google/cloud/aiplatform_v1beta1/types/index_endpoint.py
index 0388ecf913..086f499207 100644
--- a/google/cloud/aiplatform_v1beta1/types/index_endpoint.py
+++ b/google/cloud/aiplatform_v1beta1/types/index_endpoint.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/index_endpoint_service.py b/google/cloud/aiplatform_v1beta1/types/index_endpoint_service.py
index 05104da897..44188a179d 100644
--- a/google/cloud/aiplatform_v1beta1/types/index_endpoint_service.py
+++ b/google/cloud/aiplatform_v1beta1/types/index_endpoint_service.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/index_service.py b/google/cloud/aiplatform_v1beta1/types/index_service.py
index 89e8dd9bb6..e7590f8fca 100644
--- a/google/cloud/aiplatform_v1beta1/types/index_service.py
+++ b/google/cloud/aiplatform_v1beta1/types/index_service.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/io.py b/google/cloud/aiplatform_v1beta1/types/io.py
index 2be365f055..599d44d3a8 100644
--- a/google/cloud/aiplatform_v1beta1/types/io.py
+++ b/google/cloud/aiplatform_v1beta1/types/io.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/job_service.py b/google/cloud/aiplatform_v1beta1/types/job_service.py
index 9c2bfd1e81..141eb49c0a 100644
--- a/google/cloud/aiplatform_v1beta1/types/job_service.py
+++ b/google/cloud/aiplatform_v1beta1/types/job_service.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/job_state.py b/google/cloud/aiplatform_v1beta1/types/job_state.py
index 7f3a30a23e..3eda389097 100644
--- a/google/cloud/aiplatform_v1beta1/types/job_state.py
+++ b/google/cloud/aiplatform_v1beta1/types/job_state.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
@@ -54,12 +56,9 @@ class JobState(proto.Enum):
         JOB_STATE_EXPIRED (9):
             The job has expired.
         JOB_STATE_UPDATING (10):
-            The job is being updated. The job is only able to be updated
-            at RUNNING state; if the update operation succeeds, job goes
-            back to RUNNING state; if the update operation fails, the
-            job goes back to RUNNING state with error messages written
-            to [ModelDeploymentMonitoringJob.partial_errors][] field if
-            it is a ModelDeploymentMonitoringJob.
+            The job is being updated. Only jobs in the ``RUNNING`` state
+            can be updated. After updating, the job goes back to the
+            ``RUNNING`` state.
     """
     JOB_STATE_UNSPECIFIED = 0
     JOB_STATE_QUEUED = 1
diff --git a/google/cloud/aiplatform_v1beta1/types/lineage_subgraph.py b/google/cloud/aiplatform_v1beta1/types/lineage_subgraph.py
index 4e6168edb9..6a1a4cebd8 100644
--- a/google/cloud/aiplatform_v1beta1/types/lineage_subgraph.py
+++ b/google/cloud/aiplatform_v1beta1/types/lineage_subgraph.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/machine_resources.py b/google/cloud/aiplatform_v1beta1/types/machine_resources.py
index f87de78dec..442f3d45ef 100644
--- a/google/cloud/aiplatform_v1beta1/types/machine_resources.py
+++ b/google/cloud/aiplatform_v1beta1/types/machine_resources.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/manual_batch_tuning_parameters.py b/google/cloud/aiplatform_v1beta1/types/manual_batch_tuning_parameters.py
index 1e43200d61..011915af84 100644
--- a/google/cloud/aiplatform_v1beta1/types/manual_batch_tuning_parameters.py
+++ b/google/cloud/aiplatform_v1beta1/types/manual_batch_tuning_parameters.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/match_service.py b/google/cloud/aiplatform_v1beta1/types/match_service.py
new file mode 100644
index 0000000000..255e2edf6c
--- /dev/null
+++ b/google/cloud/aiplatform_v1beta1/types/match_service.py
@@ -0,0 +1,247 @@
+# -*- coding: utf-8 -*-
+# Copyright 2022 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from __future__ import annotations
+
+from typing import MutableMapping, MutableSequence
+
+import proto  # type: ignore
+
+from google.cloud.aiplatform_v1beta1.types import index
+
+
+__protobuf__ = proto.module(
+    package="google.cloud.aiplatform.v1beta1",
+    manifest={
+        "FindNeighborsRequest",
+        "FindNeighborsResponse",
+        "ReadIndexDatapointsRequest",
+        "ReadIndexDatapointsResponse",
+    },
+)
+
+
+class FindNeighborsRequest(proto.Message):
+    r"""The request message for
+    [MatchService.FindNeighbors][google.cloud.aiplatform.v1beta1.MatchService.FindNeighbors].
+
+    Attributes:
+        index_endpoint (str):
+            Required. The name of the index endpoint. Format:
+            ``projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}``
+        deployed_index_id (str):
+            The ID of the DeploydIndex that will serve the request. This
+            request is sent to a specific IndexEndpoint, as per the
+            IndexEndpoint.network. That IndexEndpoint also has
+            IndexEndpoint.deployed_indexes, and each such index has a
+            DeployedIndex.id field. The value of the field below must
+            equal one of the DeployedIndex.id fields of the
+            IndexEndpoint that is being called for this request.
+        queries (MutableSequence[google.cloud.aiplatform_v1beta1.types.FindNeighborsRequest.Query]):
+            The list of queries.
+        return_full_datapoint (bool):
+            If set to true, the full datapoints
+            (including all vector values and restricts) of
+            the nearest neighbors are returned. Note that
+            returning full datapoint will significantly
+            increase the latency and cost of the query.
+    """
+
+    class Query(proto.Message):
+        r"""A query to find a number of the nearest neighbors (most
+        similar vectors) of a vector.
+
+        Attributes:
+            datapoint (google.cloud.aiplatform_v1beta1.types.IndexDatapoint):
+                Required. The datapoint/vector whose nearest
+                neighbors should be searched for.
+            neighbor_count (int):
+                The number of nearest neighbors to be
+                retrieved from database for each query. If not
+                set, will use the default from the service
+                configuration
+                (https://cloud.google.com/vertex-ai/docs/matching-engine/configuring-indexes#nearest-neighbor-search-config).
+            per_crowding_attribute_neighbor_count (int):
+                Crowding is a constraint on a neighbor list produced by
+                nearest neighbor search requiring that no more than some
+                value k' of the k neighbors returned have the same value of
+                crowding_attribute. It's used for improving result
+                diversity. This field is the maximum number of matches with
+                the same crowding tag.
+            approximate_neighbor_count (int):
+                The number of neighbors to find via
+                approximate search before exact reordering is
+                performed. If not set, the default value from
+                scam config is used; if set, this value must be
+                > 0.
+            fraction_leaf_nodes_to_search_override (float):
+                The fraction of the number of leaves to search, set at query
+                time allows user to tune search performance. This value
+                increase result in both search accuracy and latency
+                increase. The value should be between 0.0 and 1.0. If not
+                set or set to 0.0, query uses the default value specified in
+                NearestNeighborSearchConfig.TreeAHConfig.fraction_leaf_nodes_to_search.
+        """
+
+        datapoint: index.IndexDatapoint = proto.Field(
+            proto.MESSAGE,
+            number=1,
+            message=index.IndexDatapoint,
+        )
+        neighbor_count: int = proto.Field(
+            proto.INT32,
+            number=2,
+        )
+        per_crowding_attribute_neighbor_count: int = proto.Field(
+            proto.INT32,
+            number=3,
+        )
+        approximate_neighbor_count: int = proto.Field(
+            proto.INT32,
+            number=4,
+        )
+        fraction_leaf_nodes_to_search_override: float = proto.Field(
+            proto.DOUBLE,
+            number=5,
+        )
+
+    index_endpoint: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    deployed_index_id: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    queries: MutableSequence[Query] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=3,
+        message=Query,
+    )
+    return_full_datapoint: bool = proto.Field(
+        proto.BOOL,
+        number=4,
+    )
+
+
+class FindNeighborsResponse(proto.Message):
+    r"""The response message for
+    [MatchService.FindNeighbors][google.cloud.aiplatform.v1beta1.MatchService.FindNeighbors].
+
+    Attributes:
+        nearest_neighbors (MutableSequence[google.cloud.aiplatform_v1beta1.types.FindNeighborsResponse.NearestNeighbors]):
+            The nearest neighbors of the query
+            datapoints.
+    """
+
+    class Neighbor(proto.Message):
+        r"""A neighbor of the query vector.
+
+        Attributes:
+            datapoint (google.cloud.aiplatform_v1beta1.types.IndexDatapoint):
+                The datapoint of the neighbor. Note that full datapoints are
+                returned only when "return_full_datapoint" is set to true.
+                Otherwise, only the "datapoint_id" and "crowding_tag" fields
+                are populated.
+            distance (float):
+                The distance between the neighbor and the
+                query vector.
+        """
+
+        datapoint: index.IndexDatapoint = proto.Field(
+            proto.MESSAGE,
+            number=1,
+            message=index.IndexDatapoint,
+        )
+        distance: float = proto.Field(
+            proto.DOUBLE,
+            number=2,
+        )
+
+    class NearestNeighbors(proto.Message):
+        r"""Nearest neighbors for one query.
+
+        Attributes:
+            id (str):
+                The ID of the query datapoint.
+            neighbors (MutableSequence[google.cloud.aiplatform_v1beta1.types.FindNeighborsResponse.Neighbor]):
+                All its neighbors.
+        """
+
+        id: str = proto.Field(
+            proto.STRING,
+            number=1,
+        )
+        neighbors: MutableSequence[
+            "FindNeighborsResponse.Neighbor"
+        ] = proto.RepeatedField(
+            proto.MESSAGE,
+            number=2,
+            message="FindNeighborsResponse.Neighbor",
+        )
+
+    nearest_neighbors: MutableSequence[NearestNeighbors] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=1,
+        message=NearestNeighbors,
+    )
+
+
+class ReadIndexDatapointsRequest(proto.Message):
+    r"""The request message for
+    [MatchService.ReadIndexDatapoints][google.cloud.aiplatform.v1beta1.MatchService.ReadIndexDatapoints].
+
+    Attributes:
+        index_endpoint (str):
+            Required. The name of the index endpoint. Format:
+            ``projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}``
+        deployed_index_id (str):
+            The ID of the DeploydIndex that will serve
+            the request.
+        ids (MutableSequence[str]):
+            IDs of the datapoints to be searched for.
+    """
+
+    index_endpoint: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    deployed_index_id: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    ids: MutableSequence[str] = proto.RepeatedField(
+        proto.STRING,
+        number=3,
+    )
+
+
+class ReadIndexDatapointsResponse(proto.Message):
+    r"""The response message for
+    [MatchService.ReadIndexDatapoints][google.cloud.aiplatform.v1beta1.MatchService.ReadIndexDatapoints].
+
+    Attributes:
+        datapoints (MutableSequence[google.cloud.aiplatform_v1beta1.types.IndexDatapoint]):
+            The result list of datapoints.
+    """
+
+    datapoints: MutableSequence[index.IndexDatapoint] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=1,
+        message=index.IndexDatapoint,
+    )
+
+
+__all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/google/cloud/aiplatform_v1beta1/types/metadata_schema.py b/google/cloud/aiplatform_v1beta1/types/metadata_schema.py
index 6b7f1b7d45..9e13f49b5d 100644
--- a/google/cloud/aiplatform_v1beta1/types/metadata_schema.py
+++ b/google/cloud/aiplatform_v1beta1/types/metadata_schema.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/metadata_service.py b/google/cloud/aiplatform_v1beta1/types/metadata_service.py
index 571f941188..4f8a0f74c9 100644
--- a/google/cloud/aiplatform_v1beta1/types/metadata_service.py
+++ b/google/cloud/aiplatform_v1beta1/types/metadata_service.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/metadata_store.py b/google/cloud/aiplatform_v1beta1/types/metadata_store.py
index e269d88d11..1923e2e1b9 100644
--- a/google/cloud/aiplatform_v1beta1/types/metadata_store.py
+++ b/google/cloud/aiplatform_v1beta1/types/metadata_store.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/migratable_resource.py b/google/cloud/aiplatform_v1beta1/types/migratable_resource.py
index 368e14346f..d463facc79 100644
--- a/google/cloud/aiplatform_v1beta1/types/migratable_resource.py
+++ b/google/cloud/aiplatform_v1beta1/types/migratable_resource.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/migration_service.py b/google/cloud/aiplatform_v1beta1/types/migration_service.py
index 0e2d63a04b..967183ec9f 100644
--- a/google/cloud/aiplatform_v1beta1/types/migration_service.py
+++ b/google/cloud/aiplatform_v1beta1/types/migration_service.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/model.py b/google/cloud/aiplatform_v1beta1/types/model.py
index 312f19916a..97a47808b5 100644
--- a/google/cloud/aiplatform_v1beta1/types/model.py
+++ b/google/cloud/aiplatform_v1beta1/types/model.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
@@ -111,11 +113,13 @@ class Model(proto.Message):
             ingested upon
             [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel],
             and all binaries it contains are copied and stored
-            internally by Vertex AI. Not present for AutoML Models.
+            internally by Vertex AI. Not present for AutoML Models or
+            Large Models.
         artifact_uri (str):
             Immutable. The path to the directory
             containing the Model artifact and any of its
-            supporting files. Not present for AutoML Models.
+            supporting files. Not present for AutoML Models
+            or Large Models.
         supported_deployment_resources_types (MutableSequence[google.cloud.aiplatform_v1beta1.types.Model.DeploymentResourcesType]):
             Output only. When this Model is deployed, its prediction
             resources are described by the ``prediction_resources``
@@ -232,11 +236,12 @@ class Model(proto.Message):
             The default explanation specification for this Model.
 
             The Model can be used for [requesting
-            explanation][PredictionService.Explain] after being
+            explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
+            after being
             [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]
             if it is populated. The Model can be used for [batch
-            explanation][BatchPredictionJob.generate_explanation] if it
-            is populated.
+            explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation]
+            if it is populated.
 
             All fields of the explanation_spec can be overridden by
             [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
@@ -249,13 +254,14 @@ class Model(proto.Message):
 
             If the default explanation specification is not set for this
             Model, this Model can still be used for [requesting
-            explanation][PredictionService.Explain] by setting
+            explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
+            by setting
             [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec]
             of
             [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model]
             and for [batch
-            explanation][BatchPredictionJob.generate_explanation] by
-            setting
+            explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation]
+            by setting
             [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
             of
             [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
@@ -291,6 +297,9 @@ class Model(proto.Message):
             created in MetadataStore when creating the Model. The
             Artifact resource name pattern is
             ``projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}``.
+        large_model_reference (google.cloud.aiplatform_v1beta1.types.Model.LargeModelReference):
+            Optional. Used to specify the large model
+            reference. Only present for Large Models.
     """
 
     class DeploymentResourcesType(proto.Enum):
@@ -401,6 +410,21 @@ class OriginalModelInfo(proto.Message):
             number=1,
         )
 
+    class LargeModelReference(proto.Message):
+        r"""Contains information about the Large Model.
+
+        Attributes:
+            name (str):
+                Required. The unique name of the large
+                Foundation or pre-built model. Like
+                "chat-panda", "text-panda".
+        """
+
+        name: str = proto.Field(
+            proto.STRING,
+            number=1,
+        )
+
     name: str = proto.Field(
         proto.STRING,
         number=1,
@@ -532,6 +556,11 @@ class OriginalModelInfo(proto.Message):
         proto.STRING,
         number=44,
     )
+    large_model_reference: LargeModelReference = proto.Field(
+        proto.MESSAGE,
+        number=45,
+        message=LargeModelReference,
+    )
 
 
 class PredictSchemata(proto.Message):
diff --git a/google/cloud/aiplatform_v1beta1/types/model_deployment_monitoring_job.py b/google/cloud/aiplatform_v1beta1/types/model_deployment_monitoring_job.py
index 5e74b672e3..104f9cfed8 100644
--- a/google/cloud/aiplatform_v1beta1/types/model_deployment_monitoring_job.py
+++ b/google/cloud/aiplatform_v1beta1/types/model_deployment_monitoring_job.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/model_evaluation.py b/google/cloud/aiplatform_v1beta1/types/model_evaluation.py
index e9c1e6fc8f..01ff79be9a 100644
--- a/google/cloud/aiplatform_v1beta1/types/model_evaluation.py
+++ b/google/cloud/aiplatform_v1beta1/types/model_evaluation.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/model_evaluation_slice.py b/google/cloud/aiplatform_v1beta1/types/model_evaluation_slice.py
index 2b6b19bd64..3e1ba895dc 100644
--- a/google/cloud/aiplatform_v1beta1/types/model_evaluation_slice.py
+++ b/google/cloud/aiplatform_v1beta1/types/model_evaluation_slice.py
@@ -13,12 +13,16 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
 
+from google.cloud.aiplatform_v1beta1.types import explanation
 from google.protobuf import struct_pb2  # type: ignore
 from google.protobuf import timestamp_pb2  # type: ignore
+from google.protobuf import wrappers_pb2  # type: ignore
 
 
 __protobuf__ = proto.module(
@@ -55,6 +59,12 @@ class ModelEvaluationSlice(proto.Message):
         create_time (google.protobuf.timestamp_pb2.Timestamp):
             Output only. Timestamp when this
             ModelEvaluationSlice was created.
+        model_explanation (google.cloud.aiplatform_v1beta1.types.ModelExplanation):
+            Output only. Aggregated explanation metrics
+            for the Model's prediction output over the data
+            this ModelEvaluation uses. This field is
+            populated only if the Model is evaluated with
+            explanations, and only for tabular Models.
     """
 
     class Slice(proto.Message):
@@ -70,11 +80,203 @@ class Slice(proto.Message):
                    [AnnotationSpec.display_name][google.cloud.aiplatform.v1beta1.AnnotationSpec.display_name]
                    equals to
                    [value][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.value].
+                -  ``slice``: This slice is a user customized slice defined
+                   by its SliceSpec.
             value (str):
                 Output only. The value of the dimension in
                 this slice.
+            slice_spec (google.cloud.aiplatform_v1beta1.types.ModelEvaluationSlice.Slice.SliceSpec):
+                Output only. Specification for how the data
+                was sliced.
         """
 
+        class SliceSpec(proto.Message):
+            r"""Specification for how the data should be sliced.
+
+            Attributes:
+                configs (MutableMapping[str, google.cloud.aiplatform_v1beta1.types.ModelEvaluationSlice.Slice.SliceSpec.SliceConfig]):
+                    Mapping configuration for this SliceSpec.
+                    The key is the name of the feature.
+                    By default, the key will be prefixed by
+                    "instance" as a dictionary prefix for Vertex
+                    Batch Predictions output format.
+            """
+
+            class SliceConfig(proto.Message):
+                r"""Specification message containing the config for this SliceSpec. When
+                ``kind`` is selected as ``value`` and/or ``range``, only a single
+                slice will be computed. When ``all_values`` is present, a separate
+                slice will be computed for each possible label/value for the
+                corresponding key in ``config``. Examples, with feature zip_code
+                with values 12345, 23334, 88888 and feature country with values
+                "US", "Canada", "Mexico" in the dataset:
+
+                Example 1:
+
+                ::
+
+                    {
+                      "zip_code": { "value": { "float_value": 12345.0 } }
+                    }
+
+                A single slice for any data with zip_code 12345 in the dataset.
+
+                Example 2:
+
+                ::
+
+                    {
+                      "zip_code": { "range": { "low": 12345, "high": 20000 } }
+                    }
+
+                A single slice containing data where the zip_codes between 12345 and
+                20000 For this example, data with the zip_code of 12345 will be in
+                this slice.
+
+                Example 3:
+
+                ::
+
+                    {
+                      "zip_code": { "range": { "low": 10000, "high": 20000 } },
+                      "country": { "value": { "string_value": "US" } }
+                    }
+
+                A single slice containing data where the zip_codes between 10000 and
+                20000 has the country "US". For this example, data with the zip_code
+                of 12345 and country "US" will be in this slice.
+
+                Example 4:
+
+                ::
+
+                    { "country": {"all_values": { "value": true } } }
+
+                Three slices are computed, one for each unique country in the
+                dataset.
+
+                Example 5:
+
+                ::
+
+                    {
+                      "country": { "all_values": { "value": true } },
+                      "zip_code": { "value": { "float_value": 12345.0 } }
+                    }
+
+                Three slices are computed, one for each unique country in the
+                dataset where the zip_code is also 12345. For this example, data
+                with zip_code 12345 and country "US" will be in one slice, zip_code
+                12345 and country "Canada" in another slice, and zip_code 12345 and
+                country "Mexico" in another slice, totaling 3 slices.
+
+                This message has `oneof`_ fields (mutually exclusive fields).
+                For each oneof, at most one member field can be set at the same time.
+                Setting any member of the oneof automatically clears all other
+                members.
+
+                .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
+                Attributes:
+                    value (google.cloud.aiplatform_v1beta1.types.ModelEvaluationSlice.Slice.SliceSpec.Value):
+                        A unique specific value for a given feature. Example:
+                        ``{ "value": { "string_value": "12345" } }``
+
+                        This field is a member of `oneof`_ ``kind``.
+                    range_ (google.cloud.aiplatform_v1beta1.types.ModelEvaluationSlice.Slice.SliceSpec.Range):
+                        A range of values for a numerical feature. Example:
+                        ``{"range":{"low":10000.0,"high":50000.0}}`` will capture
+                        12345 and 23334 in the slice.
+
+                        This field is a member of `oneof`_ ``kind``.
+                    all_values (google.protobuf.wrappers_pb2.BoolValue):
+                        If all_values is set to true, then all possible labels of
+                        the keyed feature will have another slice computed. Example:
+                        ``{"all_values":{"value":true}}``
+
+                        This field is a member of `oneof`_ ``kind``.
+                """
+
+                value: "ModelEvaluationSlice.Slice.SliceSpec.Value" = proto.Field(
+                    proto.MESSAGE,
+                    number=1,
+                    oneof="kind",
+                    message="ModelEvaluationSlice.Slice.SliceSpec.Value",
+                )
+                range_: "ModelEvaluationSlice.Slice.SliceSpec.Range" = proto.Field(
+                    proto.MESSAGE,
+                    number=2,
+                    oneof="kind",
+                    message="ModelEvaluationSlice.Slice.SliceSpec.Range",
+                )
+                all_values: wrappers_pb2.BoolValue = proto.Field(
+                    proto.MESSAGE,
+                    number=3,
+                    oneof="kind",
+                    message=wrappers_pb2.BoolValue,
+                )
+
+            class Range(proto.Message):
+                r"""A range of values for slice(s). ``low`` is inclusive, ``high`` is
+                exclusive.
+
+                Attributes:
+                    low (float):
+                        Inclusive low value for the range.
+                    high (float):
+                        Exclusive high value for the range.
+                """
+
+                low: float = proto.Field(
+                    proto.FLOAT,
+                    number=1,
+                )
+                high: float = proto.Field(
+                    proto.FLOAT,
+                    number=2,
+                )
+
+            class Value(proto.Message):
+                r"""Single value that supports strings and floats.
+
+                This message has `oneof`_ fields (mutually exclusive fields).
+                For each oneof, at most one member field can be set at the same time.
+                Setting any member of the oneof automatically clears all other
+                members.
+
+                .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
+                Attributes:
+                    string_value (str):
+                        String type.
+
+                        This field is a member of `oneof`_ ``kind``.
+                    float_value (float):
+                        Float type.
+
+                        This field is a member of `oneof`_ ``kind``.
+                """
+
+                string_value: str = proto.Field(
+                    proto.STRING,
+                    number=1,
+                    oneof="kind",
+                )
+                float_value: float = proto.Field(
+                    proto.FLOAT,
+                    number=2,
+                    oneof="kind",
+                )
+
+            configs: MutableMapping[
+                str, "ModelEvaluationSlice.Slice.SliceSpec.SliceConfig"
+            ] = proto.MapField(
+                proto.STRING,
+                proto.MESSAGE,
+                number=1,
+                message="ModelEvaluationSlice.Slice.SliceSpec.SliceConfig",
+            )
+
         dimension: str = proto.Field(
             proto.STRING,
             number=1,
@@ -83,6 +285,11 @@ class Slice(proto.Message):
             proto.STRING,
             number=2,
         )
+        slice_spec: "ModelEvaluationSlice.Slice.SliceSpec" = proto.Field(
+            proto.MESSAGE,
+            number=3,
+            message="ModelEvaluationSlice.Slice.SliceSpec",
+        )
 
     name: str = proto.Field(
         proto.STRING,
@@ -107,6 +314,11 @@ class Slice(proto.Message):
         number=5,
         message=timestamp_pb2.Timestamp,
     )
+    model_explanation: explanation.ModelExplanation = proto.Field(
+        proto.MESSAGE,
+        number=6,
+        message=explanation.ModelExplanation,
+    )
 
 
 __all__ = tuple(sorted(__protobuf__.manifest))
diff --git a/google/cloud/aiplatform_v1beta1/types/model_monitoring.py b/google/cloud/aiplatform_v1beta1/types/model_monitoring.py
index 695aea1862..d47e2eb6e0 100644
--- a/google/cloud/aiplatform_v1beta1/types/model_monitoring.py
+++ b/google/cloud/aiplatform_v1beta1/types/model_monitoring.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/model_service.py b/google/cloud/aiplatform_v1beta1/types/model_service.py
index 3afc4aa915..19d1dbf1a0 100644
--- a/google/cloud/aiplatform_v1beta1/types/model_service.py
+++ b/google/cloud/aiplatform_v1beta1/types/model_service.py
@@ -13,11 +13,14 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
 
 from google.cloud.aiplatform_v1beta1.types import encryption_spec as gca_encryption_spec
+from google.cloud.aiplatform_v1beta1.types import evaluated_annotation
 from google.cloud.aiplatform_v1beta1.types import explanation
 from google.cloud.aiplatform_v1beta1.types import io
 from google.cloud.aiplatform_v1beta1.types import model as gca_model
@@ -56,6 +59,8 @@
         "ImportModelEvaluationRequest",
         "BatchImportModelEvaluationSlicesRequest",
         "BatchImportModelEvaluationSlicesResponse",
+        "BatchImportEvaluatedAnnotationsRequest",
+        "BatchImportEvaluatedAnnotationsResponse",
         "GetModelEvaluationRequest",
         "ListModelEvaluationsRequest",
         "ListModelEvaluationsResponse",
@@ -853,6 +858,49 @@ class BatchImportModelEvaluationSlicesResponse(proto.Message):
     )
 
 
+class BatchImportEvaluatedAnnotationsRequest(proto.Message):
+    r"""Request message for
+    [ModelService.BatchImportEvaluatedAnnotations][google.cloud.aiplatform.v1beta1.ModelService.BatchImportEvaluatedAnnotations]
+
+    Attributes:
+        parent (str):
+            Required. The name of the parent ModelEvaluationSlice
+            resource. Format:
+            ``projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}``
+        evaluated_annotations (MutableSequence[google.cloud.aiplatform_v1beta1.types.EvaluatedAnnotation]):
+            Required. Evaluated annotations resource to
+            be imported.
+    """
+
+    parent: str = proto.Field(
+        proto.STRING,
+        number=1,
+    )
+    evaluated_annotations: MutableSequence[
+        evaluated_annotation.EvaluatedAnnotation
+    ] = proto.RepeatedField(
+        proto.MESSAGE,
+        number=2,
+        message=evaluated_annotation.EvaluatedAnnotation,
+    )
+
+
+class BatchImportEvaluatedAnnotationsResponse(proto.Message):
+    r"""Response message for
+    [ModelService.BatchImportEvaluatedAnnotations][google.cloud.aiplatform.v1beta1.ModelService.BatchImportEvaluatedAnnotations]
+
+    Attributes:
+        imported_evaluated_annotations_count (int):
+            Output only. Number of EvaluatedAnnotations
+            imported.
+    """
+
+    imported_evaluated_annotations_count: int = proto.Field(
+        proto.INT32,
+        number=1,
+    )
+
+
 class GetModelEvaluationRequest(proto.Message):
     r"""Request message for
     [ModelService.GetModelEvaluation][google.cloud.aiplatform.v1beta1.ModelService.GetModelEvaluation].
diff --git a/google/cloud/aiplatform_v1beta1/types/nas_job.py b/google/cloud/aiplatform_v1beta1/types/nas_job.py
index 0aaafd8463..1669c8cede 100644
--- a/google/cloud/aiplatform_v1beta1/types/nas_job.py
+++ b/google/cloud/aiplatform_v1beta1/types/nas_job.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/operation.py b/google/cloud/aiplatform_v1beta1/types/operation.py
index 0904ea8c8d..442a2fa727 100644
--- a/google/cloud/aiplatform_v1beta1/types/operation.py
+++ b/google/cloud/aiplatform_v1beta1/types/operation.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/pipeline_failure_policy.py b/google/cloud/aiplatform_v1beta1/types/pipeline_failure_policy.py
index 384a61020c..e1ab82ebab 100644
--- a/google/cloud/aiplatform_v1beta1/types/pipeline_failure_policy.py
+++ b/google/cloud/aiplatform_v1beta1/types/pipeline_failure_policy.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/pipeline_job.py b/google/cloud/aiplatform_v1beta1/types/pipeline_job.py
index c35915352e..8e63e29840 100644
--- a/google/cloud/aiplatform_v1beta1/types/pipeline_job.py
+++ b/google/cloud/aiplatform_v1beta1/types/pipeline_job.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/pipeline_service.py b/google/cloud/aiplatform_v1beta1/types/pipeline_service.py
index da94db2dce..049c1c9d38 100644
--- a/google/cloud/aiplatform_v1beta1/types/pipeline_service.py
+++ b/google/cloud/aiplatform_v1beta1/types/pipeline_service.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/pipeline_state.py b/google/cloud/aiplatform_v1beta1/types/pipeline_state.py
index e0ee6b6f9c..4c11f882a9 100644
--- a/google/cloud/aiplatform_v1beta1/types/pipeline_state.py
+++ b/google/cloud/aiplatform_v1beta1/types/pipeline_state.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/prediction_service.py b/google/cloud/aiplatform_v1beta1/types/prediction_service.py
index 15f0e202b6..a47b8b8152 100644
--- a/google/cloud/aiplatform_v1beta1/types/prediction_service.py
+++ b/google/cloud/aiplatform_v1beta1/types/prediction_service.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/saved_query.py b/google/cloud/aiplatform_v1beta1/types/saved_query.py
index 00065e0397..c028061c32 100644
--- a/google/cloud/aiplatform_v1beta1/types/saved_query.py
+++ b/google/cloud/aiplatform_v1beta1/types/saved_query.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/service_networking.py b/google/cloud/aiplatform_v1beta1/types/service_networking.py
index 8ab6737268..338cd13149 100644
--- a/google/cloud/aiplatform_v1beta1/types/service_networking.py
+++ b/google/cloud/aiplatform_v1beta1/types/service_networking.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/specialist_pool.py b/google/cloud/aiplatform_v1beta1/types/specialist_pool.py
index c7a92d928f..3e18e032ad 100644
--- a/google/cloud/aiplatform_v1beta1/types/specialist_pool.py
+++ b/google/cloud/aiplatform_v1beta1/types/specialist_pool.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/specialist_pool_service.py b/google/cloud/aiplatform_v1beta1/types/specialist_pool_service.py
index b26703f7b6..5ce280ae83 100644
--- a/google/cloud/aiplatform_v1beta1/types/specialist_pool_service.py
+++ b/google/cloud/aiplatform_v1beta1/types/specialist_pool_service.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/study.py b/google/cloud/aiplatform_v1beta1/types/study.py
index 7d27ec9275..9dab18fc8b 100644
--- a/google/cloud/aiplatform_v1beta1/types/study.py
+++ b/google/cloud/aiplatform_v1beta1/types/study.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/tensorboard.py b/google/cloud/aiplatform_v1beta1/types/tensorboard.py
index 15c763eb3b..52809838d3 100644
--- a/google/cloud/aiplatform_v1beta1/types/tensorboard.py
+++ b/google/cloud/aiplatform_v1beta1/types/tensorboard.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/tensorboard_data.py b/google/cloud/aiplatform_v1beta1/types/tensorboard_data.py
index 4fcbaa717d..ac3df5a625 100644
--- a/google/cloud/aiplatform_v1beta1/types/tensorboard_data.py
+++ b/google/cloud/aiplatform_v1beta1/types/tensorboard_data.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/tensorboard_experiment.py b/google/cloud/aiplatform_v1beta1/types/tensorboard_experiment.py
index 8e9ef5ff69..b845b79ca0 100644
--- a/google/cloud/aiplatform_v1beta1/types/tensorboard_experiment.py
+++ b/google/cloud/aiplatform_v1beta1/types/tensorboard_experiment.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/tensorboard_run.py b/google/cloud/aiplatform_v1beta1/types/tensorboard_run.py
index e28520c763..dd9a3ee54f 100644
--- a/google/cloud/aiplatform_v1beta1/types/tensorboard_run.py
+++ b/google/cloud/aiplatform_v1beta1/types/tensorboard_run.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/tensorboard_service.py b/google/cloud/aiplatform_v1beta1/types/tensorboard_service.py
index 35deb10494..3bf710c683 100644
--- a/google/cloud/aiplatform_v1beta1/types/tensorboard_service.py
+++ b/google/cloud/aiplatform_v1beta1/types/tensorboard_service.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
@@ -137,7 +139,8 @@ class ReadTensorboardUsageRequest(proto.Message):
 
 
 class ReadTensorboardUsageResponse(proto.Message):
-    r"""Response message for [TensorboardService.GetTensorboardUsage][].
+    r"""Response message for
+    [TensorboardService.ReadTensorboardUsage][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardUsage].
 
     Attributes:
         monthly_usage_data (MutableMapping[str, google.cloud.aiplatform_v1beta1.types.ReadTensorboardUsageResponse.PerMonthUsageData]):
diff --git a/google/cloud/aiplatform_v1beta1/types/tensorboard_time_series.py b/google/cloud/aiplatform_v1beta1/types/tensorboard_time_series.py
index 7c91875b59..0f46a34eb2 100644
--- a/google/cloud/aiplatform_v1beta1/types/tensorboard_time_series.py
+++ b/google/cloud/aiplatform_v1beta1/types/tensorboard_time_series.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/training_pipeline.py b/google/cloud/aiplatform_v1beta1/types/training_pipeline.py
index 63b26fb0d3..1c6797074b 100644
--- a/google/cloud/aiplatform_v1beta1/types/training_pipeline.py
+++ b/google/cloud/aiplatform_v1beta1/types/training_pipeline.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/types.py b/google/cloud/aiplatform_v1beta1/types/types.py
index 04921cf241..bd9f58d35f 100644
--- a/google/cloud/aiplatform_v1beta1/types/types.py
+++ b/google/cloud/aiplatform_v1beta1/types/types.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/unmanaged_container_model.py b/google/cloud/aiplatform_v1beta1/types/unmanaged_container_model.py
index 591880bfae..15cfe28f2c 100644
--- a/google/cloud/aiplatform_v1beta1/types/unmanaged_container_model.py
+++ b/google/cloud/aiplatform_v1beta1/types/unmanaged_container_model.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/user_action_reference.py b/google/cloud/aiplatform_v1beta1/types/user_action_reference.py
index 1a5dcb0f7e..5b8cb24caf 100644
--- a/google/cloud/aiplatform_v1beta1/types/user_action_reference.py
+++ b/google/cloud/aiplatform_v1beta1/types/user_action_reference.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/value.py b/google/cloud/aiplatform_v1beta1/types/value.py
index 8502a22973..671f3fa052 100644
--- a/google/cloud/aiplatform_v1beta1/types/value.py
+++ b/google/cloud/aiplatform_v1beta1/types/value.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/google/cloud/aiplatform_v1beta1/types/vizier_service.py b/google/cloud/aiplatform_v1beta1/types/vizier_service.py
index f4c2c0fa9e..9d41a14392 100644
--- a/google/cloud/aiplatform_v1beta1/types/vizier_service.py
+++ b/google/cloud/aiplatform_v1beta1/types/vizier_service.py
@@ -13,6 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+from __future__ import annotations
+
 from typing import MutableMapping, MutableSequence
 
 import proto  # type: ignore
diff --git a/samples/generated_samples/aiplatform_v1_generated_featurestore_service_delete_feature_values_async.py b/samples/generated_samples/aiplatform_v1_generated_featurestore_service_delete_feature_values_async.py
new file mode 100644
index 0000000000..8372be4676
--- /dev/null
+++ b/samples/generated_samples/aiplatform_v1_generated_featurestore_service_delete_feature_values_async.py
@@ -0,0 +1,60 @@
+# -*- coding: utf-8 -*-
+# Copyright 2022 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for DeleteFeatureValues
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-aiplatform
+
+
+# [START aiplatform_v1_generated_FeaturestoreService_DeleteFeatureValues_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import aiplatform_v1
+
+
+async def sample_delete_feature_values():
+    # Create a client
+    client = aiplatform_v1.FeaturestoreServiceAsyncClient()
+
+    # Initialize request argument(s)
+    select_entity = aiplatform_v1.SelectEntity()
+    select_entity.entity_id_selector.csv_source.gcs_source.uris = ['uris_value1', 'uris_value2']
+
+    request = aiplatform_v1.DeleteFeatureValuesRequest(
+        select_entity=select_entity,
+        entity_type="entity_type_value",
+    )
+
+    # Make the request
+    operation = client.delete_feature_values(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = (await operation).result()
+
+    # Handle the response
+    print(response)
+
+# [END aiplatform_v1_generated_FeaturestoreService_DeleteFeatureValues_async]
diff --git a/samples/generated_samples/aiplatform_v1_generated_featurestore_service_delete_feature_values_sync.py b/samples/generated_samples/aiplatform_v1_generated_featurestore_service_delete_feature_values_sync.py
new file mode 100644
index 0000000000..d9f6d1bbfe
--- /dev/null
+++ b/samples/generated_samples/aiplatform_v1_generated_featurestore_service_delete_feature_values_sync.py
@@ -0,0 +1,60 @@
+# -*- coding: utf-8 -*-
+# Copyright 2022 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for DeleteFeatureValues
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-aiplatform
+
+
+# [START aiplatform_v1_generated_FeaturestoreService_DeleteFeatureValues_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import aiplatform_v1
+
+
+def sample_delete_feature_values():
+    # Create a client
+    client = aiplatform_v1.FeaturestoreServiceClient()
+
+    # Initialize request argument(s)
+    select_entity = aiplatform_v1.SelectEntity()
+    select_entity.entity_id_selector.csv_source.gcs_source.uris = ['uris_value1', 'uris_value2']
+
+    request = aiplatform_v1.DeleteFeatureValuesRequest(
+        select_entity=select_entity,
+        entity_type="entity_type_value",
+    )
+
+    # Make the request
+    operation = client.delete_feature_values(request=request)
+
+    print("Waiting for operation to complete...")
+
+    response = operation.result()
+
+    # Handle the response
+    print(response)
+
+# [END aiplatform_v1_generated_FeaturestoreService_DeleteFeatureValues_sync]
diff --git a/samples/generated_samples/aiplatform_v1_generated_model_service_batch_import_evaluated_annotations_async.py b/samples/generated_samples/aiplatform_v1_generated_model_service_batch_import_evaluated_annotations_async.py
new file mode 100644
index 0000000000..6fd70a92a7
--- /dev/null
+++ b/samples/generated_samples/aiplatform_v1_generated_model_service_batch_import_evaluated_annotations_async.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2022 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for BatchImportEvaluatedAnnotations
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-aiplatform
+
+
+# [START aiplatform_v1_generated_ModelService_BatchImportEvaluatedAnnotations_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import aiplatform_v1
+
+
+async def sample_batch_import_evaluated_annotations():
+    # Create a client
+    client = aiplatform_v1.ModelServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = aiplatform_v1.BatchImportEvaluatedAnnotationsRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    response = await client.batch_import_evaluated_annotations(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END aiplatform_v1_generated_ModelService_BatchImportEvaluatedAnnotations_async]
diff --git a/samples/generated_samples/aiplatform_v1_generated_model_service_batch_import_evaluated_annotations_sync.py b/samples/generated_samples/aiplatform_v1_generated_model_service_batch_import_evaluated_annotations_sync.py
new file mode 100644
index 0000000000..4c5648c7bb
--- /dev/null
+++ b/samples/generated_samples/aiplatform_v1_generated_model_service_batch_import_evaluated_annotations_sync.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2022 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for BatchImportEvaluatedAnnotations
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-aiplatform
+
+
+# [START aiplatform_v1_generated_ModelService_BatchImportEvaluatedAnnotations_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import aiplatform_v1
+
+
+def sample_batch_import_evaluated_annotations():
+    # Create a client
+    client = aiplatform_v1.ModelServiceClient()
+
+    # Initialize request argument(s)
+    request = aiplatform_v1.BatchImportEvaluatedAnnotationsRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    response = client.batch_import_evaluated_annotations(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END aiplatform_v1_generated_ModelService_BatchImportEvaluatedAnnotations_sync]
diff --git a/samples/generated_samples/aiplatform_v1beta1_generated_match_service_find_neighbors_async.py b/samples/generated_samples/aiplatform_v1beta1_generated_match_service_find_neighbors_async.py
new file mode 100644
index 0000000000..6aed7b4a3a
--- /dev/null
+++ b/samples/generated_samples/aiplatform_v1beta1_generated_match_service_find_neighbors_async.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2022 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for FindNeighbors
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-aiplatform
+
+
+# [START aiplatform_v1beta1_generated_MatchService_FindNeighbors_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import aiplatform_v1beta1
+
+
+async def sample_find_neighbors():
+    # Create a client
+    client = aiplatform_v1beta1.MatchServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = aiplatform_v1beta1.FindNeighborsRequest(
+        index_endpoint="index_endpoint_value",
+    )
+
+    # Make the request
+    response = await client.find_neighbors(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END aiplatform_v1beta1_generated_MatchService_FindNeighbors_async]
diff --git a/samples/generated_samples/aiplatform_v1beta1_generated_match_service_find_neighbors_sync.py b/samples/generated_samples/aiplatform_v1beta1_generated_match_service_find_neighbors_sync.py
new file mode 100644
index 0000000000..15d6f6676f
--- /dev/null
+++ b/samples/generated_samples/aiplatform_v1beta1_generated_match_service_find_neighbors_sync.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2022 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for FindNeighbors
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-aiplatform
+
+
+# [START aiplatform_v1beta1_generated_MatchService_FindNeighbors_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import aiplatform_v1beta1
+
+
+def sample_find_neighbors():
+    # Create a client
+    client = aiplatform_v1beta1.MatchServiceClient()
+
+    # Initialize request argument(s)
+    request = aiplatform_v1beta1.FindNeighborsRequest(
+        index_endpoint="index_endpoint_value",
+    )
+
+    # Make the request
+    response = client.find_neighbors(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END aiplatform_v1beta1_generated_MatchService_FindNeighbors_sync]
diff --git a/samples/generated_samples/aiplatform_v1beta1_generated_match_service_read_index_datapoints_async.py b/samples/generated_samples/aiplatform_v1beta1_generated_match_service_read_index_datapoints_async.py
new file mode 100644
index 0000000000..a06f880caa
--- /dev/null
+++ b/samples/generated_samples/aiplatform_v1beta1_generated_match_service_read_index_datapoints_async.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2022 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ReadIndexDatapoints
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-aiplatform
+
+
+# [START aiplatform_v1beta1_generated_MatchService_ReadIndexDatapoints_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import aiplatform_v1beta1
+
+
+async def sample_read_index_datapoints():
+    # Create a client
+    client = aiplatform_v1beta1.MatchServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = aiplatform_v1beta1.ReadIndexDatapointsRequest(
+        index_endpoint="index_endpoint_value",
+    )
+
+    # Make the request
+    response = await client.read_index_datapoints(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END aiplatform_v1beta1_generated_MatchService_ReadIndexDatapoints_async]
diff --git a/samples/generated_samples/aiplatform_v1beta1_generated_match_service_read_index_datapoints_sync.py b/samples/generated_samples/aiplatform_v1beta1_generated_match_service_read_index_datapoints_sync.py
new file mode 100644
index 0000000000..9886783f8c
--- /dev/null
+++ b/samples/generated_samples/aiplatform_v1beta1_generated_match_service_read_index_datapoints_sync.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2022 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for ReadIndexDatapoints
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-aiplatform
+
+
+# [START aiplatform_v1beta1_generated_MatchService_ReadIndexDatapoints_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import aiplatform_v1beta1
+
+
+def sample_read_index_datapoints():
+    # Create a client
+    client = aiplatform_v1beta1.MatchServiceClient()
+
+    # Initialize request argument(s)
+    request = aiplatform_v1beta1.ReadIndexDatapointsRequest(
+        index_endpoint="index_endpoint_value",
+    )
+
+    # Make the request
+    response = client.read_index_datapoints(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END aiplatform_v1beta1_generated_MatchService_ReadIndexDatapoints_sync]
diff --git a/samples/generated_samples/aiplatform_v1beta1_generated_model_service_batch_import_evaluated_annotations_async.py b/samples/generated_samples/aiplatform_v1beta1_generated_model_service_batch_import_evaluated_annotations_async.py
new file mode 100644
index 0000000000..5723afdbe4
--- /dev/null
+++ b/samples/generated_samples/aiplatform_v1beta1_generated_model_service_batch_import_evaluated_annotations_async.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2022 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for BatchImportEvaluatedAnnotations
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-aiplatform
+
+
+# [START aiplatform_v1beta1_generated_ModelService_BatchImportEvaluatedAnnotations_async]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import aiplatform_v1beta1
+
+
+async def sample_batch_import_evaluated_annotations():
+    # Create a client
+    client = aiplatform_v1beta1.ModelServiceAsyncClient()
+
+    # Initialize request argument(s)
+    request = aiplatform_v1beta1.BatchImportEvaluatedAnnotationsRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    response = await client.batch_import_evaluated_annotations(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END aiplatform_v1beta1_generated_ModelService_BatchImportEvaluatedAnnotations_async]
diff --git a/samples/generated_samples/aiplatform_v1beta1_generated_model_service_batch_import_evaluated_annotations_sync.py b/samples/generated_samples/aiplatform_v1beta1_generated_model_service_batch_import_evaluated_annotations_sync.py
new file mode 100644
index 0000000000..0d4e00410b
--- /dev/null
+++ b/samples/generated_samples/aiplatform_v1beta1_generated_model_service_batch_import_evaluated_annotations_sync.py
@@ -0,0 +1,52 @@
+# -*- coding: utf-8 -*-
+# Copyright 2022 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# Generated code. DO NOT EDIT!
+#
+# Snippet for BatchImportEvaluatedAnnotations
+# NOTE: This snippet has been automatically generated for illustrative purposes only.
+# It may require modifications to work in your environment.
+
+# To install the latest published package dependency, execute the following:
+#   python3 -m pip install google-cloud-aiplatform
+
+
+# [START aiplatform_v1beta1_generated_ModelService_BatchImportEvaluatedAnnotations_sync]
+# This snippet has been automatically generated and should be regarded as a
+# code template only.
+# It will require modifications to work:
+# - It may require correct/in-range values for request initialization.
+# - It may require specifying regional endpoints when creating the service
+#   client as shown in:
+#   https://googleapis.dev/python/google-api-core/latest/client_options.html
+from google.cloud import aiplatform_v1beta1
+
+
+def sample_batch_import_evaluated_annotations():
+    # Create a client
+    client = aiplatform_v1beta1.ModelServiceClient()
+
+    # Initialize request argument(s)
+    request = aiplatform_v1beta1.BatchImportEvaluatedAnnotationsRequest(
+        parent="parent_value",
+    )
+
+    # Make the request
+    response = client.batch_import_evaluated_annotations(request=request)
+
+    # Handle the response
+    print(response)
+
+# [END aiplatform_v1beta1_generated_ModelService_BatchImportEvaluatedAnnotations_sync]
diff --git a/samples/generated_samples/snippet_metadata_google.cloud.aiplatform.v1.json b/samples/generated_samples/snippet_metadata_google.cloud.aiplatform.v1.json
index 811da7759b..a1b733c2b2 100644
--- a/samples/generated_samples/snippet_metadata_google.cloud.aiplatform.v1.json
+++ b/samples/generated_samples/snippet_metadata_google.cloud.aiplatform.v1.json
@@ -4671,6 +4671,167 @@
       ],
       "title": "aiplatform_v1_generated_featurestore_service_delete_entity_type_sync.py"
     },
+    {
+      "canonical": true,
+      "clientMethod": {
+        "async": true,
+        "client": {
+          "fullName": "google.cloud.aiplatform_v1.FeaturestoreServiceAsyncClient",
+          "shortName": "FeaturestoreServiceAsyncClient"
+        },
+        "fullName": "google.cloud.aiplatform_v1.FeaturestoreServiceAsyncClient.delete_feature_values",
+        "method": {
+          "fullName": "google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeatureValues",
+          "service": {
+            "fullName": "google.cloud.aiplatform.v1.FeaturestoreService",
+            "shortName": "FeaturestoreService"
+          },
+          "shortName": "DeleteFeatureValues"
+        },
+        "parameters": [
+          {
+            "name": "request",
+            "type": "google.cloud.aiplatform_v1.types.DeleteFeatureValuesRequest"
+          },
+          {
+            "name": "entity_type",
+            "type": "str"
+          },
+          {
+            "name": "retry",
+            "type": "google.api_core.retry.Retry"
+          },
+          {
+            "name": "timeout",
+            "type": "float"
+          },
+          {
+            "name": "metadata",
+            "type": "Sequence[Tuple[str, str]"
+          }
+        ],
+        "resultType": "google.api_core.operation_async.AsyncOperation",
+        "shortName": "delete_feature_values"
+      },
+      "description": "Sample for DeleteFeatureValues",
+      "file": "aiplatform_v1_generated_featurestore_service_delete_feature_values_async.py",
+      "language": "PYTHON",
+      "origin": "API_DEFINITION",
+      "regionTag": "aiplatform_v1_generated_FeaturestoreService_DeleteFeatureValues_async",
+      "segments": [
+        {
+          "end": 59,
+          "start": 27,
+          "type": "FULL"
+        },
+        {
+          "end": 59,
+          "start": 27,
+          "type": "SHORT"
+        },
+        {
+          "end": 40,
+          "start": 38,
+          "type": "CLIENT_INITIALIZATION"
+        },
+        {
+          "end": 49,
+          "start": 41,
+          "type": "REQUEST_INITIALIZATION"
+        },
+        {
+          "end": 56,
+          "start": 50,
+          "type": "REQUEST_EXECUTION"
+        },
+        {
+          "end": 60,
+          "start": 57,
+          "type": "RESPONSE_HANDLING"
+        }
+      ],
+      "title": "aiplatform_v1_generated_featurestore_service_delete_feature_values_async.py"
+    },
+    {
+      "canonical": true,
+      "clientMethod": {
+        "client": {
+          "fullName": "google.cloud.aiplatform_v1.FeaturestoreServiceClient",
+          "shortName": "FeaturestoreServiceClient"
+        },
+        "fullName": "google.cloud.aiplatform_v1.FeaturestoreServiceClient.delete_feature_values",
+        "method": {
+          "fullName": "google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeatureValues",
+          "service": {
+            "fullName": "google.cloud.aiplatform.v1.FeaturestoreService",
+            "shortName": "FeaturestoreService"
+          },
+          "shortName": "DeleteFeatureValues"
+        },
+        "parameters": [
+          {
+            "name": "request",
+            "type": "google.cloud.aiplatform_v1.types.DeleteFeatureValuesRequest"
+          },
+          {
+            "name": "entity_type",
+            "type": "str"
+          },
+          {
+            "name": "retry",
+            "type": "google.api_core.retry.Retry"
+          },
+          {
+            "name": "timeout",
+            "type": "float"
+          },
+          {
+            "name": "metadata",
+            "type": "Sequence[Tuple[str, str]"
+          }
+        ],
+        "resultType": "google.api_core.operation.Operation",
+        "shortName": "delete_feature_values"
+      },
+      "description": "Sample for DeleteFeatureValues",
+      "file": "aiplatform_v1_generated_featurestore_service_delete_feature_values_sync.py",
+      "language": "PYTHON",
+      "origin": "API_DEFINITION",
+      "regionTag": "aiplatform_v1_generated_FeaturestoreService_DeleteFeatureValues_sync",
+      "segments": [
+        {
+          "end": 59,
+          "start": 27,
+          "type": "FULL"
+        },
+        {
+          "end": 59,
+          "start": 27,
+          "type": "SHORT"
+        },
+        {
+          "end": 40,
+          "start": 38,
+          "type": "CLIENT_INITIALIZATION"
+        },
+        {
+          "end": 49,
+          "start": 41,
+          "type": "REQUEST_INITIALIZATION"
+        },
+        {
+          "end": 56,
+          "start": 50,
+          "type": "REQUEST_EXECUTION"
+        },
+        {
+          "end": 60,
+          "start": 57,
+          "type": "RESPONSE_HANDLING"
+        }
+      ],
+      "title": "aiplatform_v1_generated_featurestore_service_delete_feature_values_sync.py"
+    },
     {
       "canonical": true,
       "clientMethod": {
@@ -20703,6 +20864,175 @@
       ],
       "title": "aiplatform_v1_generated_migration_service_search_migratable_resources_sync.py"
     },
+    {
+      "canonical": true,
+      "clientMethod": {
+        "async": true,
+        "client": {
+          "fullName": "google.cloud.aiplatform_v1.ModelServiceAsyncClient",
+          "shortName": "ModelServiceAsyncClient"
+        },
+        "fullName": "google.cloud.aiplatform_v1.ModelServiceAsyncClient.batch_import_evaluated_annotations",
+        "method": {
+          "fullName": "google.cloud.aiplatform.v1.ModelService.BatchImportEvaluatedAnnotations",
+          "service": {
+            "fullName": "google.cloud.aiplatform.v1.ModelService",
+            "shortName": "ModelService"
+          },
+          "shortName": "BatchImportEvaluatedAnnotations"
+        },
+        "parameters": [
+          {
+            "name": "request",
+            "type": "google.cloud.aiplatform_v1.types.BatchImportEvaluatedAnnotationsRequest"
+          },
+          {
+            "name": "parent",
+            "type": "str"
+          },
+          {
+            "name": "evaluated_annotations",
+            "type": "MutableSequence[google.cloud.aiplatform_v1.types.EvaluatedAnnotation]"
+          },
+          {
+            "name": "retry",
+            "type": "google.api_core.retry.Retry"
+          },
+          {
+            "name": "timeout",
+            "type": "float"
+          },
+          {
+            "name": "metadata",
+            "type": "Sequence[Tuple[str, str]"
+          }
+        ],
+        "resultType": "google.cloud.aiplatform_v1.types.BatchImportEvaluatedAnnotationsResponse",
+        "shortName": "batch_import_evaluated_annotations"
+      },
+      "description": "Sample for BatchImportEvaluatedAnnotations",
+      "file": "aiplatform_v1_generated_model_service_batch_import_evaluated_annotations_async.py",
+      "language": "PYTHON",
+      "origin": "API_DEFINITION",
+      "regionTag": "aiplatform_v1_generated_ModelService_BatchImportEvaluatedAnnotations_async",
+      "segments": [
+        {
+          "end": 51,
+          "start": 27,
+          "type": "FULL"
+        },
+        {
+          "end": 51,
+          "start": 27,
+          "type": "SHORT"
+        },
+        {
+          "end": 40,
+          "start": 38,
+          "type": "CLIENT_INITIALIZATION"
+        },
+        {
+          "end": 45,
+          "start": 41,
+          "type": "REQUEST_INITIALIZATION"
+        },
+        {
+          "end": 48,
+          "start": 46,
+          "type": "REQUEST_EXECUTION"
+        },
+        {
+          "end": 52,
+          "start": 49,
+          "type": "RESPONSE_HANDLING"
+        }
+      ],
+      "title": "aiplatform_v1_generated_model_service_batch_import_evaluated_annotations_async.py"
+    },
+    {
+      "canonical": true,
+      "clientMethod": {
+        "client": {
+          "fullName": "google.cloud.aiplatform_v1.ModelServiceClient",
+          "shortName": "ModelServiceClient"
+        },
+        "fullName": "google.cloud.aiplatform_v1.ModelServiceClient.batch_import_evaluated_annotations",
+        "method": {
+          "fullName": "google.cloud.aiplatform.v1.ModelService.BatchImportEvaluatedAnnotations",
+          "service": {
+            "fullName": "google.cloud.aiplatform.v1.ModelService",
+            "shortName": "ModelService"
+          },
+          "shortName": "BatchImportEvaluatedAnnotations"
+        },
+        "parameters": [
+          {
+            "name": "request",
+            "type": "google.cloud.aiplatform_v1.types.BatchImportEvaluatedAnnotationsRequest"
+          },
+          {
+            "name": "parent",
+            "type": "str"
+          },
+          {
+            "name": "evaluated_annotations",
+            "type": "MutableSequence[google.cloud.aiplatform_v1.types.EvaluatedAnnotation]"
+          },
+          {
+            "name": "retry",
+            "type": "google.api_core.retry.Retry"
+          },
+          {
+            "name": "timeout",
+            "type": "float"
+          },
+          {
+            "name": "metadata",
+            "type": "Sequence[Tuple[str, str]"
+          }
+        ],
+        "resultType": "google.cloud.aiplatform_v1.types.BatchImportEvaluatedAnnotationsResponse",
+        "shortName": "batch_import_evaluated_annotations"
+      },
+      "description": "Sample for BatchImportEvaluatedAnnotations",
+      "file": "aiplatform_v1_generated_model_service_batch_import_evaluated_annotations_sync.py",
+      "language": "PYTHON",
+      "origin": "API_DEFINITION",
+      "regionTag": "aiplatform_v1_generated_ModelService_BatchImportEvaluatedAnnotations_sync",
+      "segments": [
+        {
+          "end": 51,
+          "start": 27,
+          "type": "FULL"
+        },
+        {
+          "end": 51,
+          "start": 27,
+          "type": "SHORT"
+        },
+        {
+          "end": 40,
+          "start": 38,
+          "type": "CLIENT_INITIALIZATION"
+        },
+        {
+          "end": 45,
+          "start": 41,
+          "type": "REQUEST_INITIALIZATION"
+        },
+        {
+          "end": 48,
+          "start": 46,
+          "type": "REQUEST_EXECUTION"
+        },
+        {
+          "end": 52,
+          "start": 49,
+          "type": "RESPONSE_HANDLING"
+        }
+      ],
+      "title": "aiplatform_v1_generated_model_service_batch_import_evaluated_annotations_sync.py"
+    },
     {
       "canonical": true,
       "clientMethod": {
diff --git a/samples/generated_samples/snippet_metadata_google.cloud.aiplatform.v1beta1.json b/samples/generated_samples/snippet_metadata_google.cloud.aiplatform.v1beta1.json
index 3fd87bb3f4..843ead912d 100644
--- a/samples/generated_samples/snippet_metadata_google.cloud.aiplatform.v1beta1.json
+++ b/samples/generated_samples/snippet_metadata_google.cloud.aiplatform.v1beta1.json
@@ -16059,6 +16059,312 @@
       ],
       "title": "aiplatform_v1beta1_generated_job_service_update_model_deployment_monitoring_job_sync.py"
     },
+    {
+      "canonical": true,
+      "clientMethod": {
+        "async": true,
+        "client": {
+          "fullName": "google.cloud.aiplatform_v1beta1.MatchServiceAsyncClient",
+          "shortName": "MatchServiceAsyncClient"
+        },
+        "fullName": "google.cloud.aiplatform_v1beta1.MatchServiceAsyncClient.find_neighbors",
+        "method": {
+          "fullName": "google.cloud.aiplatform.v1beta1.MatchService.FindNeighbors",
+          "service": {
+            "fullName": "google.cloud.aiplatform.v1beta1.MatchService",
+            "shortName": "MatchService"
+          },
+          "shortName": "FindNeighbors"
+        },
+        "parameters": [
+          {
+            "name": "request",
+            "type": "google.cloud.aiplatform_v1beta1.types.FindNeighborsRequest"
+          },
+          {
+            "name": "retry",
+            "type": "google.api_core.retry.Retry"
+          },
+          {
+            "name": "timeout",
+            "type": "float"
+          },
+          {
+            "name": "metadata",
+            "type": "Sequence[Tuple[str, str]"
+          }
+        ],
+        "resultType": "google.cloud.aiplatform_v1beta1.types.FindNeighborsResponse",
+        "shortName": "find_neighbors"
+      },
+      "description": "Sample for FindNeighbors",
+      "file": "aiplatform_v1beta1_generated_match_service_find_neighbors_async.py",
+      "language": "PYTHON",
+      "origin": "API_DEFINITION",
+      "regionTag": "aiplatform_v1beta1_generated_MatchService_FindNeighbors_async",
+      "segments": [
+        {
+          "end": 51,
+          "start": 27,
+          "type": "FULL"
+        },
+        {
+          "end": 51,
+          "start": 27,
+          "type": "SHORT"
+        },
+        {
+          "end": 40,
+          "start": 38,
+          "type": "CLIENT_INITIALIZATION"
+        },
+        {
+          "end": 45,
+          "start": 41,
+          "type": "REQUEST_INITIALIZATION"
+        },
+        {
+          "end": 48,
+          "start": 46,
+          "type": "REQUEST_EXECUTION"
+        },
+        {
+          "end": 52,
+          "start": 49,
+          "type": "RESPONSE_HANDLING"
+        }
+      ],
+      "title": "aiplatform_v1beta1_generated_match_service_find_neighbors_async.py"
+    },
+    {
+      "canonical": true,
+      "clientMethod": {
+        "client": {
+          "fullName": "google.cloud.aiplatform_v1beta1.MatchServiceClient",
+          "shortName": "MatchServiceClient"
+        },
+        "fullName": "google.cloud.aiplatform_v1beta1.MatchServiceClient.find_neighbors",
+        "method": {
+          "fullName": "google.cloud.aiplatform.v1beta1.MatchService.FindNeighbors",
+          "service": {
+            "fullName": "google.cloud.aiplatform.v1beta1.MatchService",
+            "shortName": "MatchService"
+          },
+          "shortName": "FindNeighbors"
+        },
+        "parameters": [
+          {
+            "name": "request",
+            "type": "google.cloud.aiplatform_v1beta1.types.FindNeighborsRequest"
+          },
+          {
+            "name": "retry",
+            "type": "google.api_core.retry.Retry"
+          },
+          {
+            "name": "timeout",
+            "type": "float"
+          },
+          {
+            "name": "metadata",
+            "type": "Sequence[Tuple[str, str]"
+          }
+        ],
+        "resultType": "google.cloud.aiplatform_v1beta1.types.FindNeighborsResponse",
+        "shortName": "find_neighbors"
+      },
+      "description": "Sample for FindNeighbors",
+      "file": "aiplatform_v1beta1_generated_match_service_find_neighbors_sync.py",
+      "language": "PYTHON",
+      "origin": "API_DEFINITION",
+      "regionTag": "aiplatform_v1beta1_generated_MatchService_FindNeighbors_sync",
+      "segments": [
+        {
+          "end": 51,
+          "start": 27,
+          "type": "FULL"
+        },
+        {
+          "end": 51,
+          "start": 27,
+          "type": "SHORT"
+        },
+        {
+          "end": 40,
+          "start": 38,
+          "type": "CLIENT_INITIALIZATION"
+        },
+        {
+          "end": 45,
+          "start": 41,
+          "type": "REQUEST_INITIALIZATION"
+        },
+        {
+          "end": 48,
+          "start": 46,
+          "type": "REQUEST_EXECUTION"
+        },
+        {
+          "end": 52,
+          "start": 49,
+          "type": "RESPONSE_HANDLING"
+        }
+      ],
+      "title": "aiplatform_v1beta1_generated_match_service_find_neighbors_sync.py"
+    },
+    {
+      "canonical": true,
+      "clientMethod": {
+        "async": true,
+        "client": {
+          "fullName": "google.cloud.aiplatform_v1beta1.MatchServiceAsyncClient",
+          "shortName": "MatchServiceAsyncClient"
+        },
+        "fullName": "google.cloud.aiplatform_v1beta1.MatchServiceAsyncClient.read_index_datapoints",
+        "method": {
+          "fullName": "google.cloud.aiplatform.v1beta1.MatchService.ReadIndexDatapoints",
+          "service": {
+            "fullName": "google.cloud.aiplatform.v1beta1.MatchService",
+            "shortName": "MatchService"
+          },
+          "shortName": "ReadIndexDatapoints"
+        },
+        "parameters": [
+          {
+            "name": "request",
+            "type": "google.cloud.aiplatform_v1beta1.types.ReadIndexDatapointsRequest"
+          },
+          {
+            "name": "retry",
+            "type": "google.api_core.retry.Retry"
+          },
+          {
+            "name": "timeout",
+            "type": "float"
+          },
+          {
+            "name": "metadata",
+            "type": "Sequence[Tuple[str, str]"
+          }
+        ],
+        "resultType": "google.cloud.aiplatform_v1beta1.types.ReadIndexDatapointsResponse",
+        "shortName": "read_index_datapoints"
+      },
+      "description": "Sample for ReadIndexDatapoints",
+      "file": "aiplatform_v1beta1_generated_match_service_read_index_datapoints_async.py",
+      "language": "PYTHON",
+      "origin": "API_DEFINITION",
+      "regionTag": "aiplatform_v1beta1_generated_MatchService_ReadIndexDatapoints_async",
+      "segments": [
+        {
+          "end": 51,
+          "start": 27,
+          "type": "FULL"
+        },
+        {
+          "end": 51,
+          "start": 27,
+          "type": "SHORT"
+        },
+        {
+          "end": 40,
+          "start": 38,
+          "type": "CLIENT_INITIALIZATION"
+        },
+        {
+          "end": 45,
+          "start": 41,
+          "type": "REQUEST_INITIALIZATION"
+        },
+        {
+          "end": 48,
+          "start": 46,
+          "type": "REQUEST_EXECUTION"
+        },
+        {
+          "end": 52,
+          "start": 49,
+          "type": "RESPONSE_HANDLING"
+        }
+      ],
+      "title": "aiplatform_v1beta1_generated_match_service_read_index_datapoints_async.py"
+    },
+    {
+      "canonical": true,
+      "clientMethod": {
+        "client": {
+          "fullName": "google.cloud.aiplatform_v1beta1.MatchServiceClient",
+          "shortName": "MatchServiceClient"
+        },
+        "fullName": "google.cloud.aiplatform_v1beta1.MatchServiceClient.read_index_datapoints",
+        "method": {
+          "fullName": "google.cloud.aiplatform.v1beta1.MatchService.ReadIndexDatapoints",
+          "service": {
+            "fullName": "google.cloud.aiplatform.v1beta1.MatchService",
+            "shortName": "MatchService"
+          },
+          "shortName": "ReadIndexDatapoints"
+        },
+        "parameters": [
+          {
+            "name": "request",
+            "type": "google.cloud.aiplatform_v1beta1.types.ReadIndexDatapointsRequest"
+          },
+          {
+            "name": "retry",
+            "type": "google.api_core.retry.Retry"
+          },
+          {
+            "name": "timeout",
+            "type": "float"
+          },
+          {
+            "name": "metadata",
+            "type": "Sequence[Tuple[str, str]"
+          }
+        ],
+        "resultType": "google.cloud.aiplatform_v1beta1.types.ReadIndexDatapointsResponse",
+        "shortName": "read_index_datapoints"
+      },
+      "description": "Sample for ReadIndexDatapoints",
+      "file": "aiplatform_v1beta1_generated_match_service_read_index_datapoints_sync.py",
+      "language": "PYTHON",
+      "origin": "API_DEFINITION",
+      "regionTag": "aiplatform_v1beta1_generated_MatchService_ReadIndexDatapoints_sync",
+      "segments": [
+        {
+          "end": 51,
+          "start": 27,
+          "type": "FULL"
+        },
+        {
+          "end": 51,
+          "start": 27,
+          "type": "SHORT"
+        },
+        {
+          "end": 40,
+          "start": 38,
+          "type": "CLIENT_INITIALIZATION"
+        },
+        {
+          "end": 45,
+          "start": 41,
+          "type": "REQUEST_INITIALIZATION"
+        },
+        {
+          "end": 48,
+          "start": 46,
+          "type": "REQUEST_EXECUTION"
+        },
+        {
+          "end": 52,
+          "start": 49,
+          "type": "RESPONSE_HANDLING"
+        }
+      ],
+      "title": "aiplatform_v1beta1_generated_match_service_read_index_datapoints_sync.py"
+    },
     {
       "canonical": true,
       "clientMethod": {
@@ -21685,6 +21991,175 @@
       ],
       "title": "aiplatform_v1beta1_generated_migration_service_search_migratable_resources_sync.py"
     },
+    {
+      "canonical": true,
+      "clientMethod": {
+        "async": true,
+        "client": {
+          "fullName": "google.cloud.aiplatform_v1beta1.ModelServiceAsyncClient",
+          "shortName": "ModelServiceAsyncClient"
+        },
+        "fullName": "google.cloud.aiplatform_v1beta1.ModelServiceAsyncClient.batch_import_evaluated_annotations",
+        "method": {
+          "fullName": "google.cloud.aiplatform.v1beta1.ModelService.BatchImportEvaluatedAnnotations",
+          "service": {
+            "fullName": "google.cloud.aiplatform.v1beta1.ModelService",
+            "shortName": "ModelService"
+          },
+          "shortName": "BatchImportEvaluatedAnnotations"
+        },
+        "parameters": [
+          {
+            "name": "request",
+            "type": "google.cloud.aiplatform_v1beta1.types.BatchImportEvaluatedAnnotationsRequest"
+          },
+          {
+            "name": "parent",
+            "type": "str"
+          },
+          {
+            "name": "evaluated_annotations",
+            "type": "MutableSequence[google.cloud.aiplatform_v1beta1.types.EvaluatedAnnotation]"
+          },
+          {
+            "name": "retry",
+            "type": "google.api_core.retry.Retry"
+          },
+          {
+            "name": "timeout",
+            "type": "float"
+          },
+          {
+            "name": "metadata",
+            "type": "Sequence[Tuple[str, str]"
+          }
+        ],
+        "resultType": "google.cloud.aiplatform_v1beta1.types.BatchImportEvaluatedAnnotationsResponse",
+        "shortName": "batch_import_evaluated_annotations"
+      },
+      "description": "Sample for BatchImportEvaluatedAnnotations",
+      "file": "aiplatform_v1beta1_generated_model_service_batch_import_evaluated_annotations_async.py",
+      "language": "PYTHON",
+      "origin": "API_DEFINITION",
+      "regionTag": "aiplatform_v1beta1_generated_ModelService_BatchImportEvaluatedAnnotations_async",
+      "segments": [
+        {
+          "end": 51,
+          "start": 27,
+          "type": "FULL"
+        },
+        {
+          "end": 51,
+          "start": 27,
+          "type": "SHORT"
+        },
+        {
+          "end": 40,
+          "start": 38,
+          "type": "CLIENT_INITIALIZATION"
+        },
+        {
+          "end": 45,
+          "start": 41,
+          "type": "REQUEST_INITIALIZATION"
+        },
+        {
+          "end": 48,
+          "start": 46,
+          "type": "REQUEST_EXECUTION"
+        },
+        {
+          "end": 52,
+          "start": 49,
+          "type": "RESPONSE_HANDLING"
+        }
+      ],
+      "title": "aiplatform_v1beta1_generated_model_service_batch_import_evaluated_annotations_async.py"
+    },
+    {
+      "canonical": true,
+      "clientMethod": {
+        "client": {
+          "fullName": "google.cloud.aiplatform_v1beta1.ModelServiceClient",
+          "shortName": "ModelServiceClient"
+        },
+        "fullName": "google.cloud.aiplatform_v1beta1.ModelServiceClient.batch_import_evaluated_annotations",
+        "method": {
+          "fullName": "google.cloud.aiplatform.v1beta1.ModelService.BatchImportEvaluatedAnnotations",
+          "service": {
+            "fullName": "google.cloud.aiplatform.v1beta1.ModelService",
+            "shortName": "ModelService"
+          },
+          "shortName": "BatchImportEvaluatedAnnotations"
+        },
+        "parameters": [
+          {
+            "name": "request",
+            "type": "google.cloud.aiplatform_v1beta1.types.BatchImportEvaluatedAnnotationsRequest"
+          },
+          {
+            "name": "parent",
+            "type": "str"
+          },
+          {
+            "name": "evaluated_annotations",
+            "type": "MutableSequence[google.cloud.aiplatform_v1beta1.types.EvaluatedAnnotation]"
+          },
+          {
+            "name": "retry",
+            "type": "google.api_core.retry.Retry"
+          },
+          {
+            "name": "timeout",
+            "type": "float"
+          },
+          {
+            "name": "metadata",
+            "type": "Sequence[Tuple[str, str]"
+          }
+        ],
+        "resultType": "google.cloud.aiplatform_v1beta1.types.BatchImportEvaluatedAnnotationsResponse",
+        "shortName": "batch_import_evaluated_annotations"
+      },
+      "description": "Sample for BatchImportEvaluatedAnnotations",
+      "file": "aiplatform_v1beta1_generated_model_service_batch_import_evaluated_annotations_sync.py",
+      "language": "PYTHON",
+      "origin": "API_DEFINITION",
+      "regionTag": "aiplatform_v1beta1_generated_ModelService_BatchImportEvaluatedAnnotations_sync",
+      "segments": [
+        {
+          "end": 51,
+          "start": 27,
+          "type": "FULL"
+        },
+        {
+          "end": 51,
+          "start": 27,
+          "type": "SHORT"
+        },
+        {
+          "end": 40,
+          "start": 38,
+          "type": "CLIENT_INITIALIZATION"
+        },
+        {
+          "end": 45,
+          "start": 41,
+          "type": "REQUEST_INITIALIZATION"
+        },
+        {
+          "end": 48,
+          "start": 46,
+          "type": "REQUEST_EXECUTION"
+        },
+        {
+          "end": 52,
+          "start": 49,
+          "type": "RESPONSE_HANDLING"
+        }
+      ],
+      "title": "aiplatform_v1beta1_generated_model_service_batch_import_evaluated_annotations_sync.py"
+    },
     {
       "canonical": true,
       "clientMethod": {
diff --git a/samples/snippets/feature_store_service/create_featurestore_sample.py b/samples/snippets/feature_store_service/create_featurestore_sample.py
index efd57cc8cb..4f89987412 100644
--- a/samples/snippets/feature_store_service/create_featurestore_sample.py
+++ b/samples/snippets/feature_store_service/create_featurestore_sample.py
@@ -26,7 +26,7 @@ def create_featurestore_sample(
     fixed_node_count: int = 1,
     location: str = "us-central1",
     api_endpoint: str = "us-central1-aiplatform.googleapis.com",
-    timeout: int = 300,
+    timeout: int = 1200,
 ):
     # The AI Platform services require regional API endpoints, which need to be
     # in the same region or multi-region overlap with the Feature Store location.
diff --git a/samples/snippets/feature_store_service/delete_featurestore_sample.py b/samples/snippets/feature_store_service/delete_featurestore_sample.py
index b893ff44f3..a19a519b44 100644
--- a/samples/snippets/feature_store_service/delete_featurestore_sample.py
+++ b/samples/snippets/feature_store_service/delete_featurestore_sample.py
@@ -25,7 +25,7 @@ def delete_featurestore_sample(
     featurestore_id: str,
     location: str = "us-central1",
     api_endpoint: str = "us-central1-aiplatform.googleapis.com",
-    timeout: int = 300,
+    timeout: int = 1200,
 ):
     # The AI Platform services require regional API endpoints, which need to be
     # in the same region or multi-region overlap with the Feature Store location.
diff --git a/setup.py b/setup.py
index 97839526ef..38b9b542ab 100644
--- a/setup.py
+++ b/setup.py
@@ -33,6 +33,12 @@
     exec(fp.read(), version)
 version = version["__version__"]
 
+packages = [
+    package
+    for package in setuptools.PEP420PackageFinder.find()
+    if package.startswith("google")
+]
+
 tensorboard_extra_require = ["tensorflow >=2.3.0, <3.0.0dev"]
 metadata_extra_require = ["pandas >= 1.0.0", "numpy>=1.15.0"]
 xai_extra_require = ["tensorflow >=2.3.0, <3.0.0dev"]
@@ -114,11 +120,7 @@
     version=version,
     description=description,
     long_description=readme,
-    packages=[
-        package
-        for package in setuptools.PEP420PackageFinder.find()
-        if package.startswith("google")
-    ],
+    packages=packages,
     entry_points={
         "console_scripts": [
             "tb-gcp-uploader=google.cloud.aiplatform.tensorboard.uploader_main:run_main"
diff --git a/tests/unit/aiplatform/test_models.py b/tests/unit/aiplatform/test_models.py
index 7df01ecd82..a11a44917d 100644
--- a/tests/unit/aiplatform/test_models.py
+++ b/tests/unit/aiplatform/test_models.py
@@ -72,6 +72,7 @@
 _TEST_PARENT = f"projects/{_TEST_PROJECT}/locations/{_TEST_LOCATION}"
 _TEST_MODEL_NAME = "123"
 _TEST_MODEL_NAME_ALT = "456"
+_TEST_MODEL_ID = "my-model"
 _TEST_MODEL_PARENT = (
     f"projects/{_TEST_PROJECT}/locations/{_TEST_LOCATION}/models/{_TEST_MODEL_NAME}"
 )
@@ -581,6 +582,19 @@ def delete_model_mock():
         yield delete_model_mock
 
 
+@pytest.fixture
+def copy_model_mock():
+    with mock.patch.object(
+        model_service_client.ModelServiceClient, "copy_model"
+    ) as copy_model_mock:
+        mock_lro = mock.Mock(ga_operation.Operation)
+        mock_lro.result.return_value = gca_model_service.CopyModelResponse(
+            model=_TEST_MODEL_RESOURCE_NAME_CUSTOM_LOCATION
+        )
+        copy_model_mock.return_value = mock_lro
+        yield copy_model_mock
+
+
 @pytest.fixture
 def deploy_model_mock():
     with mock.patch.object(
@@ -2419,6 +2433,71 @@ def test_upload_tensorflow_saved_model_uploads_and_gets_model(
         staged_model_file_name = staged_model_file_path.split("/")[-1]
         assert staged_model_file_name in ["saved_model.pb", "saved_model.pbtxt"]
 
+    def test_copy_as_new_model(self, copy_model_mock, get_model_mock):
+
+        test_model = models.Model(_TEST_ID)
+        test_model.copy(destination_location=_TEST_LOCATION_2)
+
+        copy_model_mock.assert_called_once_with(
+            request=gca_model_service.CopyModelRequest(
+                parent=initializer.global_config.common_location_path(
+                    location=_TEST_LOCATION_2
+                ),
+                source_model=_TEST_MODEL_RESOURCE_NAME,
+            ),
+            timeout=None,
+        )
+
+    def test_copy_as_new_version(self, copy_model_mock, get_model_mock):
+        test_model = models.Model(_TEST_ID)
+        test_model.copy(
+            destination_location=_TEST_LOCATION_2,
+            destination_parent_model=_TEST_MODEL_NAME_ALT,
+        )
+
+        copy_model_mock.assert_called_once_with(
+            request=gca_model_service.CopyModelRequest(
+                parent=initializer.global_config.common_location_path(
+                    location=_TEST_LOCATION_2
+                ),
+                source_model=_TEST_MODEL_RESOURCE_NAME,
+                parent_model=model_service_client.ModelServiceClient.model_path(
+                    _TEST_PROJECT, _TEST_LOCATION_2, _TEST_MODEL_NAME_ALT
+                ),
+            ),
+            timeout=None,
+        )
+
+    def test_copy_as_new_model_custom_id(self, copy_model_mock, get_model_mock):
+        test_model = models.Model(_TEST_ID)
+        test_model.copy(
+            destination_location=_TEST_LOCATION_2, destination_model_id=_TEST_MODEL_ID
+        )
+
+        copy_model_mock.assert_called_once_with(
+            request=gca_model_service.CopyModelRequest(
+                parent=initializer.global_config.common_location_path(
+                    location=_TEST_LOCATION_2
+                ),
+                source_model=_TEST_MODEL_RESOURCE_NAME,
+                model_id=_TEST_MODEL_ID,
+            ),
+            timeout=None,
+        )
+
+    def test_copy_with_invalid_params(self, copy_model_mock, get_model_mock):
+        with pytest.raises(ValueError) as e:
+            test_model = models.Model(_TEST_ID)
+            test_model.copy(
+                destination_location=_TEST_LOCATION,
+                destination_model_id=_TEST_MODEL_ID,
+                destination_parent_model=_TEST_MODEL_RESOURCE_NAME,
+            )
+
+        assert e.match(
+            regexp=r"`destination_model_id` and `destination_parent_model` can not be set together."
+        )
+
     @pytest.mark.usefixtures("get_model_mock")
     def test_update(self, update_model_mock, get_model_mock):
 
diff --git a/tests/unit/gapic/aiplatform_v1/test_featurestore_service.py b/tests/unit/gapic/aiplatform_v1/test_featurestore_service.py
index c978b4b1d1..4b2317727f 100644
--- a/tests/unit/gapic/aiplatform_v1/test_featurestore_service.py
+++ b/tests/unit/gapic/aiplatform_v1/test_featurestore_service.py
@@ -71,6 +71,7 @@
 from google.protobuf import empty_pb2  # type: ignore
 from google.protobuf import field_mask_pb2  # type: ignore
 from google.protobuf import timestamp_pb2  # type: ignore
+from google.type import interval_pb2  # type: ignore
 import google.auth
 
 
@@ -6007,6 +6008,247 @@ async def test_export_feature_values_flattened_error_async():
         )
 
 
+@pytest.mark.parametrize(
+    "request_type",
+    [
+        featurestore_service.DeleteFeatureValuesRequest,
+        dict,
+    ],
+)
+def test_delete_feature_values(request_type, transport: str = "grpc"):
+    client = FeaturestoreServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.delete_feature_values), "__call__"
+    ) as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name="operations/spam")
+        response = client.delete_feature_values(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == featurestore_service.DeleteFeatureValuesRequest()
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+def test_delete_feature_values_empty_call():
+    # This test is a coverage failsafe to make sure that totally empty calls,
+    # i.e. request == None and no flattened fields passed, work.
+    client = FeaturestoreServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.delete_feature_values), "__call__"
+    ) as call:
+        client.delete_feature_values()
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == featurestore_service.DeleteFeatureValuesRequest()
+
+
+@pytest.mark.asyncio
+async def test_delete_feature_values_async(
+    transport: str = "grpc_asyncio",
+    request_type=featurestore_service.DeleteFeatureValuesRequest,
+):
+    client = FeaturestoreServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.delete_feature_values), "__call__"
+    ) as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name="operations/spam")
+        )
+        response = await client.delete_feature_values(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == featurestore_service.DeleteFeatureValuesRequest()
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, future.Future)
+
+
+@pytest.mark.asyncio
+async def test_delete_feature_values_async_from_dict():
+    await test_delete_feature_values_async(request_type=dict)
+
+
+def test_delete_feature_values_field_headers():
+    client = FeaturestoreServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = featurestore_service.DeleteFeatureValuesRequest()
+
+    request.entity_type = "entity_type_value"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.delete_feature_values), "__call__"
+    ) as call:
+        call.return_value = operations_pb2.Operation(name="operations/op")
+        client.delete_feature_values(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        "x-goog-request-params",
+        "entity_type=entity_type_value",
+    ) in kw["metadata"]
+
+
+@pytest.mark.asyncio
+async def test_delete_feature_values_field_headers_async():
+    client = FeaturestoreServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = featurestore_service.DeleteFeatureValuesRequest()
+
+    request.entity_type = "entity_type_value"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.delete_feature_values), "__call__"
+    ) as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name="operations/op")
+        )
+        await client.delete_feature_values(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        "x-goog-request-params",
+        "entity_type=entity_type_value",
+    ) in kw["metadata"]
+
+
+def test_delete_feature_values_flattened():
+    client = FeaturestoreServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.delete_feature_values), "__call__"
+    ) as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name="operations/op")
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.delete_feature_values(
+            entity_type="entity_type_value",
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].entity_type
+        mock_val = "entity_type_value"
+        assert arg == mock_val
+
+
+def test_delete_feature_values_flattened_error():
+    client = FeaturestoreServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.delete_feature_values(
+            featurestore_service.DeleteFeatureValuesRequest(),
+            entity_type="entity_type_value",
+        )
+
+
+@pytest.mark.asyncio
+async def test_delete_feature_values_flattened_async():
+    client = FeaturestoreServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.delete_feature_values), "__call__"
+    ) as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation(name="operations/op")
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation(name="operations/spam")
+        )
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.delete_feature_values(
+            entity_type="entity_type_value",
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].entity_type
+        mock_val = "entity_type_value"
+        assert arg == mock_val
+
+
+@pytest.mark.asyncio
+async def test_delete_feature_values_flattened_error_async():
+    client = FeaturestoreServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.delete_feature_values(
+            featurestore_service.DeleteFeatureValuesRequest(),
+            entity_type="entity_type_value",
+        )
+
+
 @pytest.mark.parametrize(
     "request_type",
     [
@@ -6594,6 +6836,7 @@ def test_featurestore_service_base_transport():
         "import_feature_values",
         "batch_read_feature_values",
         "export_feature_values",
+        "delete_feature_values",
         "search_features",
         "set_iam_policy",
         "get_iam_policy",
diff --git a/tests/unit/gapic/aiplatform_v1/test_job_service.py b/tests/unit/gapic/aiplatform_v1/test_job_service.py
index 5357b98532..e409919726 100644
--- a/tests/unit/gapic/aiplatform_v1/test_job_service.py
+++ b/tests/unit/gapic/aiplatform_v1/test_job_service.py
@@ -7153,6 +7153,7 @@ def test_create_batch_prediction_job(request_type, transport: str = "grpc"):
             service_account="service_account_value",
             generate_explanation=True,
             state=job_state.JobState.JOB_STATE_QUEUED,
+            disable_container_logging=True,
         )
         response = client.create_batch_prediction_job(request)
 
@@ -7170,6 +7171,7 @@ def test_create_batch_prediction_job(request_type, transport: str = "grpc"):
     assert response.service_account == "service_account_value"
     assert response.generate_explanation is True
     assert response.state == job_state.JobState.JOB_STATE_QUEUED
+    assert response.disable_container_logging is True
 
 
 def test_create_batch_prediction_job_empty_call():
@@ -7218,6 +7220,7 @@ async def test_create_batch_prediction_job_async(
                 service_account="service_account_value",
                 generate_explanation=True,
                 state=job_state.JobState.JOB_STATE_QUEUED,
+                disable_container_logging=True,
             )
         )
         response = await client.create_batch_prediction_job(request)
@@ -7236,6 +7239,7 @@ async def test_create_batch_prediction_job_async(
     assert response.service_account == "service_account_value"
     assert response.generate_explanation is True
     assert response.state == job_state.JobState.JOB_STATE_QUEUED
+    assert response.disable_container_logging is True
 
 
 @pytest.mark.asyncio
@@ -7442,6 +7446,7 @@ def test_get_batch_prediction_job(request_type, transport: str = "grpc"):
             service_account="service_account_value",
             generate_explanation=True,
             state=job_state.JobState.JOB_STATE_QUEUED,
+            disable_container_logging=True,
         )
         response = client.get_batch_prediction_job(request)
 
@@ -7459,6 +7464,7 @@ def test_get_batch_prediction_job(request_type, transport: str = "grpc"):
     assert response.service_account == "service_account_value"
     assert response.generate_explanation is True
     assert response.state == job_state.JobState.JOB_STATE_QUEUED
+    assert response.disable_container_logging is True
 
 
 def test_get_batch_prediction_job_empty_call():
@@ -7507,6 +7513,7 @@ async def test_get_batch_prediction_job_async(
                 service_account="service_account_value",
                 generate_explanation=True,
                 state=job_state.JobState.JOB_STATE_QUEUED,
+                disable_container_logging=True,
             )
         )
         response = await client.get_batch_prediction_job(request)
@@ -7525,6 +7532,7 @@ async def test_get_batch_prediction_job_async(
     assert response.service_account == "service_account_value"
     assert response.generate_explanation is True
     assert response.state == job_state.JobState.JOB_STATE_QUEUED
+    assert response.disable_container_logging is True
 
 
 @pytest.mark.asyncio
diff --git a/tests/unit/gapic/aiplatform_v1/test_model_service.py b/tests/unit/gapic/aiplatform_v1/test_model_service.py
index 7bdc04fb95..848cf668e9 100644
--- a/tests/unit/gapic/aiplatform_v1/test_model_service.py
+++ b/tests/unit/gapic/aiplatform_v1/test_model_service.py
@@ -48,6 +48,7 @@
 from google.cloud.aiplatform_v1.types import deployed_model_ref
 from google.cloud.aiplatform_v1.types import encryption_spec
 from google.cloud.aiplatform_v1.types import env_var
+from google.cloud.aiplatform_v1.types import evaluated_annotation
 from google.cloud.aiplatform_v1.types import explanation
 from google.cloud.aiplatform_v1.types import explanation_metadata
 from google.cloud.aiplatform_v1.types import io
@@ -68,6 +69,7 @@
 from google.protobuf import field_mask_pb2  # type: ignore
 from google.protobuf import struct_pb2  # type: ignore
 from google.protobuf import timestamp_pb2  # type: ignore
+from google.protobuf import wrappers_pb2  # type: ignore
 import google.auth
 
 
@@ -4224,6 +4226,287 @@ async def test_batch_import_model_evaluation_slices_flattened_error_async():
         )
 
 
+@pytest.mark.parametrize(
+    "request_type",
+    [
+        model_service.BatchImportEvaluatedAnnotationsRequest,
+        dict,
+    ],
+)
+def test_batch_import_evaluated_annotations(request_type, transport: str = "grpc"):
+    client = ModelServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.batch_import_evaluated_annotations), "__call__"
+    ) as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = model_service.BatchImportEvaluatedAnnotationsResponse(
+            imported_evaluated_annotations_count=3859,
+        )
+        response = client.batch_import_evaluated_annotations(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == model_service.BatchImportEvaluatedAnnotationsRequest()
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, model_service.BatchImportEvaluatedAnnotationsResponse)
+    assert response.imported_evaluated_annotations_count == 3859
+
+
+def test_batch_import_evaluated_annotations_empty_call():
+    # This test is a coverage failsafe to make sure that totally empty calls,
+    # i.e. request == None and no flattened fields passed, work.
+    client = ModelServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.batch_import_evaluated_annotations), "__call__"
+    ) as call:
+        client.batch_import_evaluated_annotations()
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == model_service.BatchImportEvaluatedAnnotationsRequest()
+
+
+@pytest.mark.asyncio
+async def test_batch_import_evaluated_annotations_async(
+    transport: str = "grpc_asyncio",
+    request_type=model_service.BatchImportEvaluatedAnnotationsRequest,
+):
+    client = ModelServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.batch_import_evaluated_annotations), "__call__"
+    ) as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            model_service.BatchImportEvaluatedAnnotationsResponse(
+                imported_evaluated_annotations_count=3859,
+            )
+        )
+        response = await client.batch_import_evaluated_annotations(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == model_service.BatchImportEvaluatedAnnotationsRequest()
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, model_service.BatchImportEvaluatedAnnotationsResponse)
+    assert response.imported_evaluated_annotations_count == 3859
+
+
+@pytest.mark.asyncio
+async def test_batch_import_evaluated_annotations_async_from_dict():
+    await test_batch_import_evaluated_annotations_async(request_type=dict)
+
+
+def test_batch_import_evaluated_annotations_field_headers():
+    client = ModelServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = model_service.BatchImportEvaluatedAnnotationsRequest()
+
+    request.parent = "parent_value"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.batch_import_evaluated_annotations), "__call__"
+    ) as call:
+        call.return_value = model_service.BatchImportEvaluatedAnnotationsResponse()
+        client.batch_import_evaluated_annotations(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        "x-goog-request-params",
+        "parent=parent_value",
+    ) in kw["metadata"]
+
+
+@pytest.mark.asyncio
+async def test_batch_import_evaluated_annotations_field_headers_async():
+    client = ModelServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = model_service.BatchImportEvaluatedAnnotationsRequest()
+
+    request.parent = "parent_value"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.batch_import_evaluated_annotations), "__call__"
+    ) as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            model_service.BatchImportEvaluatedAnnotationsResponse()
+        )
+        await client.batch_import_evaluated_annotations(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        "x-goog-request-params",
+        "parent=parent_value",
+    ) in kw["metadata"]
+
+
+def test_batch_import_evaluated_annotations_flattened():
+    client = ModelServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.batch_import_evaluated_annotations), "__call__"
+    ) as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = model_service.BatchImportEvaluatedAnnotationsResponse()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.batch_import_evaluated_annotations(
+            parent="parent_value",
+            evaluated_annotations=[
+                evaluated_annotation.EvaluatedAnnotation(
+                    type_=evaluated_annotation.EvaluatedAnnotation.EvaluatedAnnotationType.TRUE_POSITIVE
+                )
+            ],
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = "parent_value"
+        assert arg == mock_val
+        arg = args[0].evaluated_annotations
+        mock_val = [
+            evaluated_annotation.EvaluatedAnnotation(
+                type_=evaluated_annotation.EvaluatedAnnotation.EvaluatedAnnotationType.TRUE_POSITIVE
+            )
+        ]
+        assert arg == mock_val
+
+
+def test_batch_import_evaluated_annotations_flattened_error():
+    client = ModelServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.batch_import_evaluated_annotations(
+            model_service.BatchImportEvaluatedAnnotationsRequest(),
+            parent="parent_value",
+            evaluated_annotations=[
+                evaluated_annotation.EvaluatedAnnotation(
+                    type_=evaluated_annotation.EvaluatedAnnotation.EvaluatedAnnotationType.TRUE_POSITIVE
+                )
+            ],
+        )
+
+
+@pytest.mark.asyncio
+async def test_batch_import_evaluated_annotations_flattened_async():
+    client = ModelServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.batch_import_evaluated_annotations), "__call__"
+    ) as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = model_service.BatchImportEvaluatedAnnotationsResponse()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            model_service.BatchImportEvaluatedAnnotationsResponse()
+        )
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.batch_import_evaluated_annotations(
+            parent="parent_value",
+            evaluated_annotations=[
+                evaluated_annotation.EvaluatedAnnotation(
+                    type_=evaluated_annotation.EvaluatedAnnotation.EvaluatedAnnotationType.TRUE_POSITIVE
+                )
+            ],
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = "parent_value"
+        assert arg == mock_val
+        arg = args[0].evaluated_annotations
+        mock_val = [
+            evaluated_annotation.EvaluatedAnnotation(
+                type_=evaluated_annotation.EvaluatedAnnotation.EvaluatedAnnotationType.TRUE_POSITIVE
+            )
+        ]
+        assert arg == mock_val
+
+
+@pytest.mark.asyncio
+async def test_batch_import_evaluated_annotations_flattened_error_async():
+    client = ModelServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.batch_import_evaluated_annotations(
+            model_service.BatchImportEvaluatedAnnotationsRequest(),
+            parent="parent_value",
+            evaluated_annotations=[
+                evaluated_annotation.EvaluatedAnnotation(
+                    type_=evaluated_annotation.EvaluatedAnnotation.EvaluatedAnnotationType.TRUE_POSITIVE
+                )
+            ],
+        )
+
+
 @pytest.mark.parametrize(
     "request_type",
     [
@@ -5782,6 +6065,7 @@ def test_model_service_base_transport():
         "copy_model",
         "import_model_evaluation",
         "batch_import_model_evaluation_slices",
+        "batch_import_evaluated_annotations",
         "get_model_evaluation",
         "list_model_evaluations",
         "get_model_evaluation_slice",
diff --git a/tests/unit/gapic/aiplatform_v1beta1/test_job_service.py b/tests/unit/gapic/aiplatform_v1beta1/test_job_service.py
index 66f0ac94a1..e3a6c84e8b 100644
--- a/tests/unit/gapic/aiplatform_v1beta1/test_job_service.py
+++ b/tests/unit/gapic/aiplatform_v1beta1/test_job_service.py
@@ -7156,6 +7156,7 @@ def test_create_batch_prediction_job(request_type, transport: str = "grpc"):
             service_account="service_account_value",
             generate_explanation=True,
             state=job_state.JobState.JOB_STATE_QUEUED,
+            disable_container_logging=True,
         )
         response = client.create_batch_prediction_job(request)
 
@@ -7173,6 +7174,7 @@ def test_create_batch_prediction_job(request_type, transport: str = "grpc"):
     assert response.service_account == "service_account_value"
     assert response.generate_explanation is True
     assert response.state == job_state.JobState.JOB_STATE_QUEUED
+    assert response.disable_container_logging is True
 
 
 def test_create_batch_prediction_job_empty_call():
@@ -7221,6 +7223,7 @@ async def test_create_batch_prediction_job_async(
                 service_account="service_account_value",
                 generate_explanation=True,
                 state=job_state.JobState.JOB_STATE_QUEUED,
+                disable_container_logging=True,
             )
         )
         response = await client.create_batch_prediction_job(request)
@@ -7239,6 +7242,7 @@ async def test_create_batch_prediction_job_async(
     assert response.service_account == "service_account_value"
     assert response.generate_explanation is True
     assert response.state == job_state.JobState.JOB_STATE_QUEUED
+    assert response.disable_container_logging is True
 
 
 @pytest.mark.asyncio
@@ -7445,6 +7449,7 @@ def test_get_batch_prediction_job(request_type, transport: str = "grpc"):
             service_account="service_account_value",
             generate_explanation=True,
             state=job_state.JobState.JOB_STATE_QUEUED,
+            disable_container_logging=True,
         )
         response = client.get_batch_prediction_job(request)
 
@@ -7462,6 +7467,7 @@ def test_get_batch_prediction_job(request_type, transport: str = "grpc"):
     assert response.service_account == "service_account_value"
     assert response.generate_explanation is True
     assert response.state == job_state.JobState.JOB_STATE_QUEUED
+    assert response.disable_container_logging is True
 
 
 def test_get_batch_prediction_job_empty_call():
@@ -7510,6 +7516,7 @@ async def test_get_batch_prediction_job_async(
                 service_account="service_account_value",
                 generate_explanation=True,
                 state=job_state.JobState.JOB_STATE_QUEUED,
+                disable_container_logging=True,
             )
         )
         response = await client.get_batch_prediction_job(request)
@@ -7528,6 +7535,7 @@ async def test_get_batch_prediction_job_async(
     assert response.service_account == "service_account_value"
     assert response.generate_explanation is True
     assert response.state == job_state.JobState.JOB_STATE_QUEUED
+    assert response.disable_container_logging is True
 
 
 @pytest.mark.asyncio
diff --git a/tests/unit/gapic/aiplatform_v1beta1/test_match_service.py b/tests/unit/gapic/aiplatform_v1beta1/test_match_service.py
new file mode 100644
index 0000000000..3e31dbe205
--- /dev/null
+++ b/tests/unit/gapic/aiplatform_v1beta1/test_match_service.py
@@ -0,0 +1,3193 @@
+# -*- coding: utf-8 -*-
+# Copyright 2022 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+import os
+
+# try/except added for compatibility with python < 3.8
+try:
+    from unittest import mock
+    from unittest.mock import AsyncMock  # pragma: NO COVER
+except ImportError:  # pragma: NO COVER
+    import mock
+
+import grpc
+from grpc.experimental import aio
+import math
+import pytest
+from proto.marshal.rules.dates import DurationRule, TimestampRule
+from proto.marshal.rules import wrappers
+
+from google.api_core import client_options
+from google.api_core import exceptions as core_exceptions
+from google.api_core import gapic_v1
+from google.api_core import grpc_helpers
+from google.api_core import grpc_helpers_async
+from google.api_core import path_template
+from google.auth import credentials as ga_credentials
+from google.auth.exceptions import MutualTLSChannelError
+from google.cloud.aiplatform_v1beta1.services.match_service import (
+    MatchServiceAsyncClient,
+)
+from google.cloud.aiplatform_v1beta1.services.match_service import MatchServiceClient
+from google.cloud.aiplatform_v1beta1.services.match_service import transports
+from google.cloud.aiplatform_v1beta1.types import index
+from google.cloud.aiplatform_v1beta1.types import match_service
+from google.cloud.location import locations_pb2
+from google.iam.v1 import iam_policy_pb2  # type: ignore
+from google.iam.v1 import options_pb2  # type: ignore
+from google.iam.v1 import policy_pb2  # type: ignore
+from google.longrunning import operations_pb2
+from google.oauth2 import service_account
+import google.auth
+
+
+def client_cert_source_callback():
+    return b"cert bytes", b"key bytes"
+
+
+# If default endpoint is localhost, then default mtls endpoint will be the same.
+# This method modifies the default endpoint so the client can produce a different
+# mtls endpoint for endpoint testing purposes.
+def modify_default_endpoint(client):
+    return (
+        "foo.googleapis.com"
+        if ("localhost" in client.DEFAULT_ENDPOINT)
+        else client.DEFAULT_ENDPOINT
+    )
+
+
+def test__get_default_mtls_endpoint():
+    api_endpoint = "example.googleapis.com"
+    api_mtls_endpoint = "example.mtls.googleapis.com"
+    sandbox_endpoint = "example.sandbox.googleapis.com"
+    sandbox_mtls_endpoint = "example.mtls.sandbox.googleapis.com"
+    non_googleapi = "api.example.com"
+
+    assert MatchServiceClient._get_default_mtls_endpoint(None) is None
+    assert (
+        MatchServiceClient._get_default_mtls_endpoint(api_endpoint) == api_mtls_endpoint
+    )
+    assert (
+        MatchServiceClient._get_default_mtls_endpoint(api_mtls_endpoint)
+        == api_mtls_endpoint
+    )
+    assert (
+        MatchServiceClient._get_default_mtls_endpoint(sandbox_endpoint)
+        == sandbox_mtls_endpoint
+    )
+    assert (
+        MatchServiceClient._get_default_mtls_endpoint(sandbox_mtls_endpoint)
+        == sandbox_mtls_endpoint
+    )
+    assert MatchServiceClient._get_default_mtls_endpoint(non_googleapi) == non_googleapi
+
+
+@pytest.mark.parametrize(
+    "client_class,transport_name",
+    [
+        (MatchServiceClient, "grpc"),
+        (MatchServiceAsyncClient, "grpc_asyncio"),
+    ],
+)
+def test_match_service_client_from_service_account_info(client_class, transport_name):
+    creds = ga_credentials.AnonymousCredentials()
+    with mock.patch.object(
+        service_account.Credentials, "from_service_account_info"
+    ) as factory:
+        factory.return_value = creds
+        info = {"valid": True}
+        client = client_class.from_service_account_info(info, transport=transport_name)
+        assert client.transport._credentials == creds
+        assert isinstance(client, client_class)
+
+        assert client.transport._host == ("aiplatform.googleapis.com:443")
+
+
+@pytest.mark.parametrize(
+    "transport_class,transport_name",
+    [
+        (transports.MatchServiceGrpcTransport, "grpc"),
+        (transports.MatchServiceGrpcAsyncIOTransport, "grpc_asyncio"),
+    ],
+)
+def test_match_service_client_service_account_always_use_jwt(
+    transport_class, transport_name
+):
+    with mock.patch.object(
+        service_account.Credentials, "with_always_use_jwt_access", create=True
+    ) as use_jwt:
+        creds = service_account.Credentials(None, None, None)
+        transport = transport_class(credentials=creds, always_use_jwt_access=True)
+        use_jwt.assert_called_once_with(True)
+
+    with mock.patch.object(
+        service_account.Credentials, "with_always_use_jwt_access", create=True
+    ) as use_jwt:
+        creds = service_account.Credentials(None, None, None)
+        transport = transport_class(credentials=creds, always_use_jwt_access=False)
+        use_jwt.assert_not_called()
+
+
+@pytest.mark.parametrize(
+    "client_class,transport_name",
+    [
+        (MatchServiceClient, "grpc"),
+        (MatchServiceAsyncClient, "grpc_asyncio"),
+    ],
+)
+def test_match_service_client_from_service_account_file(client_class, transport_name):
+    creds = ga_credentials.AnonymousCredentials()
+    with mock.patch.object(
+        service_account.Credentials, "from_service_account_file"
+    ) as factory:
+        factory.return_value = creds
+        client = client_class.from_service_account_file(
+            "dummy/file/path.json", transport=transport_name
+        )
+        assert client.transport._credentials == creds
+        assert isinstance(client, client_class)
+
+        client = client_class.from_service_account_json(
+            "dummy/file/path.json", transport=transport_name
+        )
+        assert client.transport._credentials == creds
+        assert isinstance(client, client_class)
+
+        assert client.transport._host == ("aiplatform.googleapis.com:443")
+
+
+def test_match_service_client_get_transport_class():
+    transport = MatchServiceClient.get_transport_class()
+    available_transports = [
+        transports.MatchServiceGrpcTransport,
+    ]
+    assert transport in available_transports
+
+    transport = MatchServiceClient.get_transport_class("grpc")
+    assert transport == transports.MatchServiceGrpcTransport
+
+
+@pytest.mark.parametrize(
+    "client_class,transport_class,transport_name",
+    [
+        (MatchServiceClient, transports.MatchServiceGrpcTransport, "grpc"),
+        (
+            MatchServiceAsyncClient,
+            transports.MatchServiceGrpcAsyncIOTransport,
+            "grpc_asyncio",
+        ),
+    ],
+)
+@mock.patch.object(
+    MatchServiceClient, "DEFAULT_ENDPOINT", modify_default_endpoint(MatchServiceClient)
+)
+@mock.patch.object(
+    MatchServiceAsyncClient,
+    "DEFAULT_ENDPOINT",
+    modify_default_endpoint(MatchServiceAsyncClient),
+)
+def test_match_service_client_client_options(
+    client_class, transport_class, transport_name
+):
+    # Check that if channel is provided we won't create a new one.
+    with mock.patch.object(MatchServiceClient, "get_transport_class") as gtc:
+        transport = transport_class(credentials=ga_credentials.AnonymousCredentials())
+        client = client_class(transport=transport)
+        gtc.assert_not_called()
+
+    # Check that if channel is provided via str we will create a new one.
+    with mock.patch.object(MatchServiceClient, "get_transport_class") as gtc:
+        client = client_class(transport=transport_name)
+        gtc.assert_called()
+
+    # Check the case api_endpoint is provided.
+    options = client_options.ClientOptions(api_endpoint="squid.clam.whelk")
+    with mock.patch.object(transport_class, "__init__") as patched:
+        patched.return_value = None
+        client = client_class(transport=transport_name, client_options=options)
+        patched.assert_called_once_with(
+            credentials=None,
+            credentials_file=None,
+            host="squid.clam.whelk",
+            scopes=None,
+            client_cert_source_for_mtls=None,
+            quota_project_id=None,
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience=None,
+        )
+
+    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is
+    # "never".
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
+        with mock.patch.object(transport_class, "__init__") as patched:
+            patched.return_value = None
+            client = client_class(transport=transport_name)
+            patched.assert_called_once_with(
+                credentials=None,
+                credentials_file=None,
+                host=client.DEFAULT_ENDPOINT,
+                scopes=None,
+                client_cert_source_for_mtls=None,
+                quota_project_id=None,
+                client_info=transports.base.DEFAULT_CLIENT_INFO,
+                always_use_jwt_access=True,
+                api_audience=None,
+            )
+
+    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is
+    # "always".
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
+        with mock.patch.object(transport_class, "__init__") as patched:
+            patched.return_value = None
+            client = client_class(transport=transport_name)
+            patched.assert_called_once_with(
+                credentials=None,
+                credentials_file=None,
+                host=client.DEFAULT_MTLS_ENDPOINT,
+                scopes=None,
+                client_cert_source_for_mtls=None,
+                quota_project_id=None,
+                client_info=transports.base.DEFAULT_CLIENT_INFO,
+                always_use_jwt_access=True,
+                api_audience=None,
+            )
+
+    # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has
+    # unsupported value.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}):
+        with pytest.raises(MutualTLSChannelError):
+            client = client_class(transport=transport_name)
+
+    # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value.
+    with mock.patch.dict(
+        os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}
+    ):
+        with pytest.raises(ValueError):
+            client = client_class(transport=transport_name)
+
+    # Check the case quota_project_id is provided
+    options = client_options.ClientOptions(quota_project_id="octopus")
+    with mock.patch.object(transport_class, "__init__") as patched:
+        patched.return_value = None
+        client = client_class(client_options=options, transport=transport_name)
+        patched.assert_called_once_with(
+            credentials=None,
+            credentials_file=None,
+            host=client.DEFAULT_ENDPOINT,
+            scopes=None,
+            client_cert_source_for_mtls=None,
+            quota_project_id="octopus",
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience=None,
+        )
+    # Check the case api_endpoint is provided
+    options = client_options.ClientOptions(
+        api_audience="https://language.googleapis.com/"
+    )
+    with mock.patch.object(transport_class, "__init__") as patched:
+        patched.return_value = None
+        client = client_class(client_options=options, transport=transport_name)
+        patched.assert_called_once_with(
+            credentials=None,
+            credentials_file=None,
+            host=client.DEFAULT_ENDPOINT,
+            scopes=None,
+            client_cert_source_for_mtls=None,
+            quota_project_id=None,
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience="https://language.googleapis.com/",
+        )
+
+
+@pytest.mark.parametrize(
+    "client_class,transport_class,transport_name,use_client_cert_env",
+    [
+        (MatchServiceClient, transports.MatchServiceGrpcTransport, "grpc", "true"),
+        (
+            MatchServiceAsyncClient,
+            transports.MatchServiceGrpcAsyncIOTransport,
+            "grpc_asyncio",
+            "true",
+        ),
+        (MatchServiceClient, transports.MatchServiceGrpcTransport, "grpc", "false"),
+        (
+            MatchServiceAsyncClient,
+            transports.MatchServiceGrpcAsyncIOTransport,
+            "grpc_asyncio",
+            "false",
+        ),
+    ],
+)
+@mock.patch.object(
+    MatchServiceClient, "DEFAULT_ENDPOINT", modify_default_endpoint(MatchServiceClient)
+)
+@mock.patch.object(
+    MatchServiceAsyncClient,
+    "DEFAULT_ENDPOINT",
+    modify_default_endpoint(MatchServiceAsyncClient),
+)
+@mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"})
+def test_match_service_client_mtls_env_auto(
+    client_class, transport_class, transport_name, use_client_cert_env
+):
+    # This tests the endpoint autoswitch behavior. Endpoint is autoswitched to the default
+    # mtls endpoint, if GOOGLE_API_USE_CLIENT_CERTIFICATE is "true" and client cert exists.
+
+    # Check the case client_cert_source is provided. Whether client cert is used depends on
+    # GOOGLE_API_USE_CLIENT_CERTIFICATE value.
+    with mock.patch.dict(
+        os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}
+    ):
+        options = client_options.ClientOptions(
+            client_cert_source=client_cert_source_callback
+        )
+        with mock.patch.object(transport_class, "__init__") as patched:
+            patched.return_value = None
+            client = client_class(client_options=options, transport=transport_name)
+
+            if use_client_cert_env == "false":
+                expected_client_cert_source = None
+                expected_host = client.DEFAULT_ENDPOINT
+            else:
+                expected_client_cert_source = client_cert_source_callback
+                expected_host = client.DEFAULT_MTLS_ENDPOINT
+
+            patched.assert_called_once_with(
+                credentials=None,
+                credentials_file=None,
+                host=expected_host,
+                scopes=None,
+                client_cert_source_for_mtls=expected_client_cert_source,
+                quota_project_id=None,
+                client_info=transports.base.DEFAULT_CLIENT_INFO,
+                always_use_jwt_access=True,
+                api_audience=None,
+            )
+
+    # Check the case ADC client cert is provided. Whether client cert is used depends on
+    # GOOGLE_API_USE_CLIENT_CERTIFICATE value.
+    with mock.patch.dict(
+        os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}
+    ):
+        with mock.patch.object(transport_class, "__init__") as patched:
+            with mock.patch(
+                "google.auth.transport.mtls.has_default_client_cert_source",
+                return_value=True,
+            ):
+                with mock.patch(
+                    "google.auth.transport.mtls.default_client_cert_source",
+                    return_value=client_cert_source_callback,
+                ):
+                    if use_client_cert_env == "false":
+                        expected_host = client.DEFAULT_ENDPOINT
+                        expected_client_cert_source = None
+                    else:
+                        expected_host = client.DEFAULT_MTLS_ENDPOINT
+                        expected_client_cert_source = client_cert_source_callback
+
+                    patched.return_value = None
+                    client = client_class(transport=transport_name)
+                    patched.assert_called_once_with(
+                        credentials=None,
+                        credentials_file=None,
+                        host=expected_host,
+                        scopes=None,
+                        client_cert_source_for_mtls=expected_client_cert_source,
+                        quota_project_id=None,
+                        client_info=transports.base.DEFAULT_CLIENT_INFO,
+                        always_use_jwt_access=True,
+                        api_audience=None,
+                    )
+
+    # Check the case client_cert_source and ADC client cert are not provided.
+    with mock.patch.dict(
+        os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}
+    ):
+        with mock.patch.object(transport_class, "__init__") as patched:
+            with mock.patch(
+                "google.auth.transport.mtls.has_default_client_cert_source",
+                return_value=False,
+            ):
+                patched.return_value = None
+                client = client_class(transport=transport_name)
+                patched.assert_called_once_with(
+                    credentials=None,
+                    credentials_file=None,
+                    host=client.DEFAULT_ENDPOINT,
+                    scopes=None,
+                    client_cert_source_for_mtls=None,
+                    quota_project_id=None,
+                    client_info=transports.base.DEFAULT_CLIENT_INFO,
+                    always_use_jwt_access=True,
+                    api_audience=None,
+                )
+
+
+@pytest.mark.parametrize("client_class", [MatchServiceClient, MatchServiceAsyncClient])
+@mock.patch.object(
+    MatchServiceClient, "DEFAULT_ENDPOINT", modify_default_endpoint(MatchServiceClient)
+)
+@mock.patch.object(
+    MatchServiceAsyncClient,
+    "DEFAULT_ENDPOINT",
+    modify_default_endpoint(MatchServiceAsyncClient),
+)
+def test_match_service_client_get_mtls_endpoint_and_cert_source(client_class):
+    mock_client_cert_source = mock.Mock()
+
+    # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "true".
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
+        mock_api_endpoint = "foo"
+        options = client_options.ClientOptions(
+            client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint
+        )
+        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(
+            options
+        )
+        assert api_endpoint == mock_api_endpoint
+        assert cert_source == mock_client_cert_source
+
+    # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "false".
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}):
+        mock_client_cert_source = mock.Mock()
+        mock_api_endpoint = "foo"
+        options = client_options.ClientOptions(
+            client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint
+        )
+        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(
+            options
+        )
+        assert api_endpoint == mock_api_endpoint
+        assert cert_source is None
+
+    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "never".
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}):
+        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
+        assert api_endpoint == client_class.DEFAULT_ENDPOINT
+        assert cert_source is None
+
+    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "always".
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}):
+        api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
+        assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
+        assert cert_source is None
+
+    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert doesn't exist.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
+        with mock.patch(
+            "google.auth.transport.mtls.has_default_client_cert_source",
+            return_value=False,
+        ):
+            api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source()
+            assert api_endpoint == client_class.DEFAULT_ENDPOINT
+            assert cert_source is None
+
+    # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert exists.
+    with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}):
+        with mock.patch(
+            "google.auth.transport.mtls.has_default_client_cert_source",
+            return_value=True,
+        ):
+            with mock.patch(
+                "google.auth.transport.mtls.default_client_cert_source",
+                return_value=mock_client_cert_source,
+            ):
+                (
+                    api_endpoint,
+                    cert_source,
+                ) = client_class.get_mtls_endpoint_and_cert_source()
+                assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT
+                assert cert_source == mock_client_cert_source
+
+
+@pytest.mark.parametrize(
+    "client_class,transport_class,transport_name",
+    [
+        (MatchServiceClient, transports.MatchServiceGrpcTransport, "grpc"),
+        (
+            MatchServiceAsyncClient,
+            transports.MatchServiceGrpcAsyncIOTransport,
+            "grpc_asyncio",
+        ),
+    ],
+)
+def test_match_service_client_client_options_scopes(
+    client_class, transport_class, transport_name
+):
+    # Check the case scopes are provided.
+    options = client_options.ClientOptions(
+        scopes=["1", "2"],
+    )
+    with mock.patch.object(transport_class, "__init__") as patched:
+        patched.return_value = None
+        client = client_class(client_options=options, transport=transport_name)
+        patched.assert_called_once_with(
+            credentials=None,
+            credentials_file=None,
+            host=client.DEFAULT_ENDPOINT,
+            scopes=["1", "2"],
+            client_cert_source_for_mtls=None,
+            quota_project_id=None,
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience=None,
+        )
+
+
+@pytest.mark.parametrize(
+    "client_class,transport_class,transport_name,grpc_helpers",
+    [
+        (
+            MatchServiceClient,
+            transports.MatchServiceGrpcTransport,
+            "grpc",
+            grpc_helpers,
+        ),
+        (
+            MatchServiceAsyncClient,
+            transports.MatchServiceGrpcAsyncIOTransport,
+            "grpc_asyncio",
+            grpc_helpers_async,
+        ),
+    ],
+)
+def test_match_service_client_client_options_credentials_file(
+    client_class, transport_class, transport_name, grpc_helpers
+):
+    # Check the case credentials file is provided.
+    options = client_options.ClientOptions(credentials_file="credentials.json")
+
+    with mock.patch.object(transport_class, "__init__") as patched:
+        patched.return_value = None
+        client = client_class(client_options=options, transport=transport_name)
+        patched.assert_called_once_with(
+            credentials=None,
+            credentials_file="credentials.json",
+            host=client.DEFAULT_ENDPOINT,
+            scopes=None,
+            client_cert_source_for_mtls=None,
+            quota_project_id=None,
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience=None,
+        )
+
+
+def test_match_service_client_client_options_from_dict():
+    with mock.patch(
+        "google.cloud.aiplatform_v1beta1.services.match_service.transports.MatchServiceGrpcTransport.__init__"
+    ) as grpc_transport:
+        grpc_transport.return_value = None
+        client = MatchServiceClient(client_options={"api_endpoint": "squid.clam.whelk"})
+        grpc_transport.assert_called_once_with(
+            credentials=None,
+            credentials_file=None,
+            host="squid.clam.whelk",
+            scopes=None,
+            client_cert_source_for_mtls=None,
+            quota_project_id=None,
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience=None,
+        )
+
+
+@pytest.mark.parametrize(
+    "client_class,transport_class,transport_name,grpc_helpers",
+    [
+        (
+            MatchServiceClient,
+            transports.MatchServiceGrpcTransport,
+            "grpc",
+            grpc_helpers,
+        ),
+        (
+            MatchServiceAsyncClient,
+            transports.MatchServiceGrpcAsyncIOTransport,
+            "grpc_asyncio",
+            grpc_helpers_async,
+        ),
+    ],
+)
+def test_match_service_client_create_channel_credentials_file(
+    client_class, transport_class, transport_name, grpc_helpers
+):
+    # Check the case credentials file is provided.
+    options = client_options.ClientOptions(credentials_file="credentials.json")
+
+    with mock.patch.object(transport_class, "__init__") as patched:
+        patched.return_value = None
+        client = client_class(client_options=options, transport=transport_name)
+        patched.assert_called_once_with(
+            credentials=None,
+            credentials_file="credentials.json",
+            host=client.DEFAULT_ENDPOINT,
+            scopes=None,
+            client_cert_source_for_mtls=None,
+            quota_project_id=None,
+            client_info=transports.base.DEFAULT_CLIENT_INFO,
+            always_use_jwt_access=True,
+            api_audience=None,
+        )
+
+    # test that the credentials from file are saved and used as the credentials.
+    with mock.patch.object(
+        google.auth, "load_credentials_from_file", autospec=True
+    ) as load_creds, mock.patch.object(
+        google.auth, "default", autospec=True
+    ) as adc, mock.patch.object(
+        grpc_helpers, "create_channel"
+    ) as create_channel:
+        creds = ga_credentials.AnonymousCredentials()
+        file_creds = ga_credentials.AnonymousCredentials()
+        load_creds.return_value = (file_creds, None)
+        adc.return_value = (creds, None)
+        client = client_class(client_options=options, transport=transport_name)
+        create_channel.assert_called_with(
+            "aiplatform.googleapis.com:443",
+            credentials=file_creds,
+            credentials_file=None,
+            quota_project_id=None,
+            default_scopes=("https://www.googleapis.com/auth/cloud-platform",),
+            scopes=None,
+            default_host="aiplatform.googleapis.com",
+            ssl_credentials=None,
+            options=[
+                ("grpc.max_send_message_length", -1),
+                ("grpc.max_receive_message_length", -1),
+            ],
+        )
+
+
+@pytest.mark.parametrize(
+    "request_type",
+    [
+        match_service.FindNeighborsRequest,
+        dict,
+    ],
+)
+def test_find_neighbors(request_type, transport: str = "grpc"):
+    client = MatchServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.find_neighbors), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = match_service.FindNeighborsResponse()
+        response = client.find_neighbors(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == match_service.FindNeighborsRequest()
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, match_service.FindNeighborsResponse)
+
+
+def test_find_neighbors_empty_call():
+    # This test is a coverage failsafe to make sure that totally empty calls,
+    # i.e. request == None and no flattened fields passed, work.
+    client = MatchServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.find_neighbors), "__call__") as call:
+        client.find_neighbors()
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == match_service.FindNeighborsRequest()
+
+
+@pytest.mark.asyncio
+async def test_find_neighbors_async(
+    transport: str = "grpc_asyncio", request_type=match_service.FindNeighborsRequest
+):
+    client = MatchServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.find_neighbors), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            match_service.FindNeighborsResponse()
+        )
+        response = await client.find_neighbors(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == match_service.FindNeighborsRequest()
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, match_service.FindNeighborsResponse)
+
+
+@pytest.mark.asyncio
+async def test_find_neighbors_async_from_dict():
+    await test_find_neighbors_async(request_type=dict)
+
+
+def test_find_neighbors_field_headers():
+    client = MatchServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = match_service.FindNeighborsRequest()
+
+    request.index_endpoint = "index_endpoint_value"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.find_neighbors), "__call__") as call:
+        call.return_value = match_service.FindNeighborsResponse()
+        client.find_neighbors(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        "x-goog-request-params",
+        "index_endpoint=index_endpoint_value",
+    ) in kw["metadata"]
+
+
+@pytest.mark.asyncio
+async def test_find_neighbors_field_headers_async():
+    client = MatchServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = match_service.FindNeighborsRequest()
+
+    request.index_endpoint = "index_endpoint_value"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.find_neighbors), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            match_service.FindNeighborsResponse()
+        )
+        await client.find_neighbors(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        "x-goog-request-params",
+        "index_endpoint=index_endpoint_value",
+    ) in kw["metadata"]
+
+
+@pytest.mark.parametrize(
+    "request_type",
+    [
+        match_service.ReadIndexDatapointsRequest,
+        dict,
+    ],
+)
+def test_read_index_datapoints(request_type, transport: str = "grpc"):
+    client = MatchServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.read_index_datapoints), "__call__"
+    ) as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = match_service.ReadIndexDatapointsResponse()
+        response = client.read_index_datapoints(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == match_service.ReadIndexDatapointsRequest()
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, match_service.ReadIndexDatapointsResponse)
+
+
+def test_read_index_datapoints_empty_call():
+    # This test is a coverage failsafe to make sure that totally empty calls,
+    # i.e. request == None and no flattened fields passed, work.
+    client = MatchServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.read_index_datapoints), "__call__"
+    ) as call:
+        client.read_index_datapoints()
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == match_service.ReadIndexDatapointsRequest()
+
+
+@pytest.mark.asyncio
+async def test_read_index_datapoints_async(
+    transport: str = "grpc_asyncio",
+    request_type=match_service.ReadIndexDatapointsRequest,
+):
+    client = MatchServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.read_index_datapoints), "__call__"
+    ) as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            match_service.ReadIndexDatapointsResponse()
+        )
+        response = await client.read_index_datapoints(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == match_service.ReadIndexDatapointsRequest()
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, match_service.ReadIndexDatapointsResponse)
+
+
+@pytest.mark.asyncio
+async def test_read_index_datapoints_async_from_dict():
+    await test_read_index_datapoints_async(request_type=dict)
+
+
+def test_read_index_datapoints_field_headers():
+    client = MatchServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = match_service.ReadIndexDatapointsRequest()
+
+    request.index_endpoint = "index_endpoint_value"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.read_index_datapoints), "__call__"
+    ) as call:
+        call.return_value = match_service.ReadIndexDatapointsResponse()
+        client.read_index_datapoints(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        "x-goog-request-params",
+        "index_endpoint=index_endpoint_value",
+    ) in kw["metadata"]
+
+
+@pytest.mark.asyncio
+async def test_read_index_datapoints_field_headers_async():
+    client = MatchServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = match_service.ReadIndexDatapointsRequest()
+
+    request.index_endpoint = "index_endpoint_value"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.read_index_datapoints), "__call__"
+    ) as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            match_service.ReadIndexDatapointsResponse()
+        )
+        await client.read_index_datapoints(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        "x-goog-request-params",
+        "index_endpoint=index_endpoint_value",
+    ) in kw["metadata"]
+
+
+def test_credentials_transport_error():
+    # It is an error to provide credentials and a transport instance.
+    transport = transports.MatchServiceGrpcTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    with pytest.raises(ValueError):
+        client = MatchServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            transport=transport,
+        )
+
+    # It is an error to provide a credentials file and a transport instance.
+    transport = transports.MatchServiceGrpcTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    with pytest.raises(ValueError):
+        client = MatchServiceClient(
+            client_options={"credentials_file": "credentials.json"},
+            transport=transport,
+        )
+
+    # It is an error to provide an api_key and a transport instance.
+    transport = transports.MatchServiceGrpcTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    options = client_options.ClientOptions()
+    options.api_key = "api_key"
+    with pytest.raises(ValueError):
+        client = MatchServiceClient(
+            client_options=options,
+            transport=transport,
+        )
+
+    # It is an error to provide an api_key and a credential.
+    options = mock.Mock()
+    options.api_key = "api_key"
+    with pytest.raises(ValueError):
+        client = MatchServiceClient(
+            client_options=options, credentials=ga_credentials.AnonymousCredentials()
+        )
+
+    # It is an error to provide scopes and a transport instance.
+    transport = transports.MatchServiceGrpcTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    with pytest.raises(ValueError):
+        client = MatchServiceClient(
+            client_options={"scopes": ["1", "2"]},
+            transport=transport,
+        )
+
+
+def test_transport_instance():
+    # A client may be instantiated with a custom transport instance.
+    transport = transports.MatchServiceGrpcTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    client = MatchServiceClient(transport=transport)
+    assert client.transport is transport
+
+
+def test_transport_get_channel():
+    # A client may be instantiated with a custom transport instance.
+    transport = transports.MatchServiceGrpcTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    channel = transport.grpc_channel
+    assert channel
+
+    transport = transports.MatchServiceGrpcAsyncIOTransport(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    channel = transport.grpc_channel
+    assert channel
+
+
+@pytest.mark.parametrize(
+    "transport_class",
+    [
+        transports.MatchServiceGrpcTransport,
+        transports.MatchServiceGrpcAsyncIOTransport,
+    ],
+)
+def test_transport_adc(transport_class):
+    # Test default credentials are used if not provided.
+    with mock.patch.object(google.auth, "default") as adc:
+        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
+        transport_class()
+        adc.assert_called_once()
+
+
+@pytest.mark.parametrize(
+    "transport_name",
+    [
+        "grpc",
+    ],
+)
+def test_transport_kind(transport_name):
+    transport = MatchServiceClient.get_transport_class(transport_name)(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    assert transport.kind == transport_name
+
+
+def test_transport_grpc_default():
+    # A client should use the gRPC transport by default.
+    client = MatchServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    assert isinstance(
+        client.transport,
+        transports.MatchServiceGrpcTransport,
+    )
+
+
+def test_match_service_base_transport_error():
+    # Passing both a credentials object and credentials_file should raise an error
+    with pytest.raises(core_exceptions.DuplicateCredentialArgs):
+        transport = transports.MatchServiceTransport(
+            credentials=ga_credentials.AnonymousCredentials(),
+            credentials_file="credentials.json",
+        )
+
+
+def test_match_service_base_transport():
+    # Instantiate the base transport.
+    with mock.patch(
+        "google.cloud.aiplatform_v1beta1.services.match_service.transports.MatchServiceTransport.__init__"
+    ) as Transport:
+        Transport.return_value = None
+        transport = transports.MatchServiceTransport(
+            credentials=ga_credentials.AnonymousCredentials(),
+        )
+
+    # Every method on the transport should just blindly
+    # raise NotImplementedError.
+    methods = (
+        "find_neighbors",
+        "read_index_datapoints",
+        "set_iam_policy",
+        "get_iam_policy",
+        "test_iam_permissions",
+        "get_location",
+        "list_locations",
+        "get_operation",
+        "wait_operation",
+        "cancel_operation",
+        "delete_operation",
+        "list_operations",
+    )
+    for method in methods:
+        with pytest.raises(NotImplementedError):
+            getattr(transport, method)(request=object())
+
+    with pytest.raises(NotImplementedError):
+        transport.close()
+
+    # Catch all for all remaining methods and properties
+    remainder = [
+        "kind",
+    ]
+    for r in remainder:
+        with pytest.raises(NotImplementedError):
+            getattr(transport, r)()
+
+
+def test_match_service_base_transport_with_credentials_file():
+    # Instantiate the base transport with a credentials file
+    with mock.patch.object(
+        google.auth, "load_credentials_from_file", autospec=True
+    ) as load_creds, mock.patch(
+        "google.cloud.aiplatform_v1beta1.services.match_service.transports.MatchServiceTransport._prep_wrapped_messages"
+    ) as Transport:
+        Transport.return_value = None
+        load_creds.return_value = (ga_credentials.AnonymousCredentials(), None)
+        transport = transports.MatchServiceTransport(
+            credentials_file="credentials.json",
+            quota_project_id="octopus",
+        )
+        load_creds.assert_called_once_with(
+            "credentials.json",
+            scopes=None,
+            default_scopes=("https://www.googleapis.com/auth/cloud-platform",),
+            quota_project_id="octopus",
+        )
+
+
+def test_match_service_base_transport_with_adc():
+    # Test the default credentials are used if credentials and credentials_file are None.
+    with mock.patch.object(google.auth, "default", autospec=True) as adc, mock.patch(
+        "google.cloud.aiplatform_v1beta1.services.match_service.transports.MatchServiceTransport._prep_wrapped_messages"
+    ) as Transport:
+        Transport.return_value = None
+        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
+        transport = transports.MatchServiceTransport()
+        adc.assert_called_once()
+
+
+def test_match_service_auth_adc():
+    # If no credentials are provided, we should use ADC credentials.
+    with mock.patch.object(google.auth, "default", autospec=True) as adc:
+        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
+        MatchServiceClient()
+        adc.assert_called_once_with(
+            scopes=None,
+            default_scopes=("https://www.googleapis.com/auth/cloud-platform",),
+            quota_project_id=None,
+        )
+
+
+@pytest.mark.parametrize(
+    "transport_class",
+    [
+        transports.MatchServiceGrpcTransport,
+        transports.MatchServiceGrpcAsyncIOTransport,
+    ],
+)
+def test_match_service_transport_auth_adc(transport_class):
+    # If credentials and host are not provided, the transport class should use
+    # ADC credentials.
+    with mock.patch.object(google.auth, "default", autospec=True) as adc:
+        adc.return_value = (ga_credentials.AnonymousCredentials(), None)
+        transport_class(quota_project_id="octopus", scopes=["1", "2"])
+        adc.assert_called_once_with(
+            scopes=["1", "2"],
+            default_scopes=("https://www.googleapis.com/auth/cloud-platform",),
+            quota_project_id="octopus",
+        )
+
+
+@pytest.mark.parametrize(
+    "transport_class",
+    [
+        transports.MatchServiceGrpcTransport,
+        transports.MatchServiceGrpcAsyncIOTransport,
+    ],
+)
+def test_match_service_transport_auth_gdch_credentials(transport_class):
+    host = "https://language.com/"
+    api_audience_tests = [None, "https://language2.com/"]
+    api_audience_expect = [host, "https://language2.com/"]
+    for t, e in zip(api_audience_tests, api_audience_expect):
+        with mock.patch.object(google.auth, "default", autospec=True) as adc:
+            gdch_mock = mock.MagicMock()
+            type(gdch_mock).with_gdch_audience = mock.PropertyMock(
+                return_value=gdch_mock
+            )
+            adc.return_value = (gdch_mock, None)
+            transport_class(host=host, api_audience=t)
+            gdch_mock.with_gdch_audience.assert_called_once_with(e)
+
+
+@pytest.mark.parametrize(
+    "transport_class,grpc_helpers",
+    [
+        (transports.MatchServiceGrpcTransport, grpc_helpers),
+        (transports.MatchServiceGrpcAsyncIOTransport, grpc_helpers_async),
+    ],
+)
+def test_match_service_transport_create_channel(transport_class, grpc_helpers):
+    # If credentials and host are not provided, the transport class should use
+    # ADC credentials.
+    with mock.patch.object(
+        google.auth, "default", autospec=True
+    ) as adc, mock.patch.object(
+        grpc_helpers, "create_channel", autospec=True
+    ) as create_channel:
+        creds = ga_credentials.AnonymousCredentials()
+        adc.return_value = (creds, None)
+        transport_class(quota_project_id="octopus", scopes=["1", "2"])
+
+        create_channel.assert_called_with(
+            "aiplatform.googleapis.com:443",
+            credentials=creds,
+            credentials_file=None,
+            quota_project_id="octopus",
+            default_scopes=("https://www.googleapis.com/auth/cloud-platform",),
+            scopes=["1", "2"],
+            default_host="aiplatform.googleapis.com",
+            ssl_credentials=None,
+            options=[
+                ("grpc.max_send_message_length", -1),
+                ("grpc.max_receive_message_length", -1),
+            ],
+        )
+
+
+@pytest.mark.parametrize(
+    "transport_class",
+    [transports.MatchServiceGrpcTransport, transports.MatchServiceGrpcAsyncIOTransport],
+)
+def test_match_service_grpc_transport_client_cert_source_for_mtls(transport_class):
+    cred = ga_credentials.AnonymousCredentials()
+
+    # Check ssl_channel_credentials is used if provided.
+    with mock.patch.object(transport_class, "create_channel") as mock_create_channel:
+        mock_ssl_channel_creds = mock.Mock()
+        transport_class(
+            host="squid.clam.whelk",
+            credentials=cred,
+            ssl_channel_credentials=mock_ssl_channel_creds,
+        )
+        mock_create_channel.assert_called_once_with(
+            "squid.clam.whelk:443",
+            credentials=cred,
+            credentials_file=None,
+            scopes=None,
+            ssl_credentials=mock_ssl_channel_creds,
+            quota_project_id=None,
+            options=[
+                ("grpc.max_send_message_length", -1),
+                ("grpc.max_receive_message_length", -1),
+            ],
+        )
+
+    # Check if ssl_channel_credentials is not provided, then client_cert_source_for_mtls
+    # is used.
+    with mock.patch.object(transport_class, "create_channel", return_value=mock.Mock()):
+        with mock.patch("grpc.ssl_channel_credentials") as mock_ssl_cred:
+            transport_class(
+                credentials=cred,
+                client_cert_source_for_mtls=client_cert_source_callback,
+            )
+            expected_cert, expected_key = client_cert_source_callback()
+            mock_ssl_cred.assert_called_once_with(
+                certificate_chain=expected_cert, private_key=expected_key
+            )
+
+
+@pytest.mark.parametrize(
+    "transport_name",
+    [
+        "grpc",
+        "grpc_asyncio",
+    ],
+)
+def test_match_service_host_no_port(transport_name):
+    client = MatchServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        client_options=client_options.ClientOptions(
+            api_endpoint="aiplatform.googleapis.com"
+        ),
+        transport=transport_name,
+    )
+    assert client.transport._host == ("aiplatform.googleapis.com:443")
+
+
+@pytest.mark.parametrize(
+    "transport_name",
+    [
+        "grpc",
+        "grpc_asyncio",
+    ],
+)
+def test_match_service_host_with_port(transport_name):
+    client = MatchServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        client_options=client_options.ClientOptions(
+            api_endpoint="aiplatform.googleapis.com:8000"
+        ),
+        transport=transport_name,
+    )
+    assert client.transport._host == ("aiplatform.googleapis.com:8000")
+
+
+def test_match_service_grpc_transport_channel():
+    channel = grpc.secure_channel("http://localhost/", grpc.local_channel_credentials())
+
+    # Check that channel is used if provided.
+    transport = transports.MatchServiceGrpcTransport(
+        host="squid.clam.whelk",
+        channel=channel,
+    )
+    assert transport.grpc_channel == channel
+    assert transport._host == "squid.clam.whelk:443"
+    assert transport._ssl_channel_credentials == None
+
+
+def test_match_service_grpc_asyncio_transport_channel():
+    channel = aio.secure_channel("http://localhost/", grpc.local_channel_credentials())
+
+    # Check that channel is used if provided.
+    transport = transports.MatchServiceGrpcAsyncIOTransport(
+        host="squid.clam.whelk",
+        channel=channel,
+    )
+    assert transport.grpc_channel == channel
+    assert transport._host == "squid.clam.whelk:443"
+    assert transport._ssl_channel_credentials == None
+
+
+# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are
+# removed from grpc/grpc_asyncio transport constructor.
+@pytest.mark.parametrize(
+    "transport_class",
+    [transports.MatchServiceGrpcTransport, transports.MatchServiceGrpcAsyncIOTransport],
+)
+def test_match_service_transport_channel_mtls_with_client_cert_source(transport_class):
+    with mock.patch(
+        "grpc.ssl_channel_credentials", autospec=True
+    ) as grpc_ssl_channel_cred:
+        with mock.patch.object(
+            transport_class, "create_channel"
+        ) as grpc_create_channel:
+            mock_ssl_cred = mock.Mock()
+            grpc_ssl_channel_cred.return_value = mock_ssl_cred
+
+            mock_grpc_channel = mock.Mock()
+            grpc_create_channel.return_value = mock_grpc_channel
+
+            cred = ga_credentials.AnonymousCredentials()
+            with pytest.warns(DeprecationWarning):
+                with mock.patch.object(google.auth, "default") as adc:
+                    adc.return_value = (cred, None)
+                    transport = transport_class(
+                        host="squid.clam.whelk",
+                        api_mtls_endpoint="mtls.squid.clam.whelk",
+                        client_cert_source=client_cert_source_callback,
+                    )
+                    adc.assert_called_once()
+
+            grpc_ssl_channel_cred.assert_called_once_with(
+                certificate_chain=b"cert bytes", private_key=b"key bytes"
+            )
+            grpc_create_channel.assert_called_once_with(
+                "mtls.squid.clam.whelk:443",
+                credentials=cred,
+                credentials_file=None,
+                scopes=None,
+                ssl_credentials=mock_ssl_cred,
+                quota_project_id=None,
+                options=[
+                    ("grpc.max_send_message_length", -1),
+                    ("grpc.max_receive_message_length", -1),
+                ],
+            )
+            assert transport.grpc_channel == mock_grpc_channel
+            assert transport._ssl_channel_credentials == mock_ssl_cred
+
+
+# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are
+# removed from grpc/grpc_asyncio transport constructor.
+@pytest.mark.parametrize(
+    "transport_class",
+    [transports.MatchServiceGrpcTransport, transports.MatchServiceGrpcAsyncIOTransport],
+)
+def test_match_service_transport_channel_mtls_with_adc(transport_class):
+    mock_ssl_cred = mock.Mock()
+    with mock.patch.multiple(
+        "google.auth.transport.grpc.SslCredentials",
+        __init__=mock.Mock(return_value=None),
+        ssl_credentials=mock.PropertyMock(return_value=mock_ssl_cred),
+    ):
+        with mock.patch.object(
+            transport_class, "create_channel"
+        ) as grpc_create_channel:
+            mock_grpc_channel = mock.Mock()
+            grpc_create_channel.return_value = mock_grpc_channel
+            mock_cred = mock.Mock()
+
+            with pytest.warns(DeprecationWarning):
+                transport = transport_class(
+                    host="squid.clam.whelk",
+                    credentials=mock_cred,
+                    api_mtls_endpoint="mtls.squid.clam.whelk",
+                    client_cert_source=None,
+                )
+
+            grpc_create_channel.assert_called_once_with(
+                "mtls.squid.clam.whelk:443",
+                credentials=mock_cred,
+                credentials_file=None,
+                scopes=None,
+                ssl_credentials=mock_ssl_cred,
+                quota_project_id=None,
+                options=[
+                    ("grpc.max_send_message_length", -1),
+                    ("grpc.max_receive_message_length", -1),
+                ],
+            )
+            assert transport.grpc_channel == mock_grpc_channel
+
+
+def test_index_endpoint_path():
+    project = "squid"
+    location = "clam"
+    index_endpoint = "whelk"
+    expected = "projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}".format(
+        project=project,
+        location=location,
+        index_endpoint=index_endpoint,
+    )
+    actual = MatchServiceClient.index_endpoint_path(project, location, index_endpoint)
+    assert expected == actual
+
+
+def test_parse_index_endpoint_path():
+    expected = {
+        "project": "octopus",
+        "location": "oyster",
+        "index_endpoint": "nudibranch",
+    }
+    path = MatchServiceClient.index_endpoint_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = MatchServiceClient.parse_index_endpoint_path(path)
+    assert expected == actual
+
+
+def test_common_billing_account_path():
+    billing_account = "cuttlefish"
+    expected = "billingAccounts/{billing_account}".format(
+        billing_account=billing_account,
+    )
+    actual = MatchServiceClient.common_billing_account_path(billing_account)
+    assert expected == actual
+
+
+def test_parse_common_billing_account_path():
+    expected = {
+        "billing_account": "mussel",
+    }
+    path = MatchServiceClient.common_billing_account_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = MatchServiceClient.parse_common_billing_account_path(path)
+    assert expected == actual
+
+
+def test_common_folder_path():
+    folder = "winkle"
+    expected = "folders/{folder}".format(
+        folder=folder,
+    )
+    actual = MatchServiceClient.common_folder_path(folder)
+    assert expected == actual
+
+
+def test_parse_common_folder_path():
+    expected = {
+        "folder": "nautilus",
+    }
+    path = MatchServiceClient.common_folder_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = MatchServiceClient.parse_common_folder_path(path)
+    assert expected == actual
+
+
+def test_common_organization_path():
+    organization = "scallop"
+    expected = "organizations/{organization}".format(
+        organization=organization,
+    )
+    actual = MatchServiceClient.common_organization_path(organization)
+    assert expected == actual
+
+
+def test_parse_common_organization_path():
+    expected = {
+        "organization": "abalone",
+    }
+    path = MatchServiceClient.common_organization_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = MatchServiceClient.parse_common_organization_path(path)
+    assert expected == actual
+
+
+def test_common_project_path():
+    project = "squid"
+    expected = "projects/{project}".format(
+        project=project,
+    )
+    actual = MatchServiceClient.common_project_path(project)
+    assert expected == actual
+
+
+def test_parse_common_project_path():
+    expected = {
+        "project": "clam",
+    }
+    path = MatchServiceClient.common_project_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = MatchServiceClient.parse_common_project_path(path)
+    assert expected == actual
+
+
+def test_common_location_path():
+    project = "whelk"
+    location = "octopus"
+    expected = "projects/{project}/locations/{location}".format(
+        project=project,
+        location=location,
+    )
+    actual = MatchServiceClient.common_location_path(project, location)
+    assert expected == actual
+
+
+def test_parse_common_location_path():
+    expected = {
+        "project": "oyster",
+        "location": "nudibranch",
+    }
+    path = MatchServiceClient.common_location_path(**expected)
+
+    # Check that the path construction is reversible.
+    actual = MatchServiceClient.parse_common_location_path(path)
+    assert expected == actual
+
+
+def test_client_with_default_client_info():
+    client_info = gapic_v1.client_info.ClientInfo()
+
+    with mock.patch.object(
+        transports.MatchServiceTransport, "_prep_wrapped_messages"
+    ) as prep:
+        client = MatchServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(),
+            client_info=client_info,
+        )
+        prep.assert_called_once_with(client_info)
+
+    with mock.patch.object(
+        transports.MatchServiceTransport, "_prep_wrapped_messages"
+    ) as prep:
+        transport_class = MatchServiceClient.get_transport_class()
+        transport = transport_class(
+            credentials=ga_credentials.AnonymousCredentials(),
+            client_info=client_info,
+        )
+        prep.assert_called_once_with(client_info)
+
+
+@pytest.mark.asyncio
+async def test_transport_close_async():
+    client = MatchServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc_asyncio",
+    )
+    with mock.patch.object(
+        type(getattr(client.transport, "grpc_channel")), "close"
+    ) as close:
+        async with client:
+            close.assert_not_called()
+        close.assert_called_once()
+
+
+def test_delete_operation(transport: str = "grpc"):
+    client = MatchServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.DeleteOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+        response = client.delete_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert response is None
+
+
+@pytest.mark.asyncio
+async def test_delete_operation_async(transport: str = "grpc"):
+    client = MatchServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.DeleteOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
+        response = await client.delete_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert response is None
+
+
+def test_delete_operation_field_headers():
+    client = MatchServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.DeleteOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
+        call.return_value = None
+
+        client.delete_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        "x-goog-request-params",
+        "name=locations",
+    ) in kw["metadata"]
+
+
+@pytest.mark.asyncio
+async def test_delete_operation_field_headers_async():
+    client = MatchServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.DeleteOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
+        await client.delete_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        "x-goog-request-params",
+        "name=locations",
+    ) in kw["metadata"]
+
+
+def test_delete_operation_from_dict():
+    client = MatchServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+
+        response = client.delete_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+@pytest.mark.asyncio
+async def test_delete_operation_from_dict_async():
+    client = MatchServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.delete_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
+        response = await client.delete_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+def test_cancel_operation(transport: str = "grpc"):
+    client = MatchServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.CancelOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+        response = client.cancel_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert response is None
+
+
+@pytest.mark.asyncio
+async def test_cancel_operation_async(transport: str = "grpc"):
+    client = MatchServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.CancelOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
+        response = await client.cancel_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert response is None
+
+
+def test_cancel_operation_field_headers():
+    client = MatchServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.CancelOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
+        call.return_value = None
+
+        client.cancel_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        "x-goog-request-params",
+        "name=locations",
+    ) in kw["metadata"]
+
+
+@pytest.mark.asyncio
+async def test_cancel_operation_field_headers_async():
+    client = MatchServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.CancelOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
+        await client.cancel_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        "x-goog-request-params",
+        "name=locations",
+    ) in kw["metadata"]
+
+
+def test_cancel_operation_from_dict():
+    client = MatchServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = None
+
+        response = client.cancel_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+@pytest.mark.asyncio
+async def test_cancel_operation_from_dict_async():
+    client = MatchServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.cancel_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(None)
+        response = await client.cancel_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+def test_wait_operation(transport: str = "grpc"):
+    client = MatchServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.WaitOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.wait_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation()
+        response = client.wait_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, operations_pb2.Operation)
+
+
+@pytest.mark.asyncio
+async def test_wait_operation(transport: str = "grpc"):
+    client = MatchServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.WaitOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.wait_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation()
+        )
+        response = await client.wait_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, operations_pb2.Operation)
+
+
+def test_wait_operation_field_headers():
+    client = MatchServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.WaitOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.wait_operation), "__call__") as call:
+        call.return_value = operations_pb2.Operation()
+
+        client.wait_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        "x-goog-request-params",
+        "name=locations",
+    ) in kw["metadata"]
+
+
+@pytest.mark.asyncio
+async def test_wait_operation_field_headers_async():
+    client = MatchServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.WaitOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.wait_operation), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation()
+        )
+        await client.wait_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        "x-goog-request-params",
+        "name=locations",
+    ) in kw["metadata"]
+
+
+def test_wait_operation_from_dict():
+    client = MatchServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.wait_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation()
+
+        response = client.wait_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+@pytest.mark.asyncio
+async def test_wait_operation_from_dict_async():
+    client = MatchServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.wait_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation()
+        )
+        response = await client.wait_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+def test_get_operation(transport: str = "grpc"):
+    client = MatchServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.GetOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation()
+        response = client.get_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, operations_pb2.Operation)
+
+
+@pytest.mark.asyncio
+async def test_get_operation_async(transport: str = "grpc"):
+    client = MatchServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.GetOperationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation()
+        )
+        response = await client.get_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, operations_pb2.Operation)
+
+
+def test_get_operation_field_headers():
+    client = MatchServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.GetOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
+        call.return_value = operations_pb2.Operation()
+
+        client.get_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        "x-goog-request-params",
+        "name=locations",
+    ) in kw["metadata"]
+
+
+@pytest.mark.asyncio
+async def test_get_operation_field_headers_async():
+    client = MatchServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.GetOperationRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation()
+        )
+        await client.get_operation(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        "x-goog-request-params",
+        "name=locations",
+    ) in kw["metadata"]
+
+
+def test_get_operation_from_dict():
+    client = MatchServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.Operation()
+
+        response = client.get_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+@pytest.mark.asyncio
+async def test_get_operation_from_dict_async():
+    client = MatchServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_operation), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.Operation()
+        )
+        response = await client.get_operation(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+def test_list_operations(transport: str = "grpc"):
+    client = MatchServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.ListOperationsRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.ListOperationsResponse()
+        response = client.list_operations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, operations_pb2.ListOperationsResponse)
+
+
+@pytest.mark.asyncio
+async def test_list_operations_async(transport: str = "grpc"):
+    client = MatchServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = operations_pb2.ListOperationsRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.ListOperationsResponse()
+        )
+        response = await client.list_operations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, operations_pb2.ListOperationsResponse)
+
+
+def test_list_operations_field_headers():
+    client = MatchServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.ListOperationsRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
+        call.return_value = operations_pb2.ListOperationsResponse()
+
+        client.list_operations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        "x-goog-request-params",
+        "name=locations",
+    ) in kw["metadata"]
+
+
+@pytest.mark.asyncio
+async def test_list_operations_field_headers_async():
+    client = MatchServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = operations_pb2.ListOperationsRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.ListOperationsResponse()
+        )
+        await client.list_operations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        "x-goog-request-params",
+        "name=locations",
+    ) in kw["metadata"]
+
+
+def test_list_operations_from_dict():
+    client = MatchServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = operations_pb2.ListOperationsResponse()
+
+        response = client.list_operations(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+@pytest.mark.asyncio
+async def test_list_operations_from_dict_async():
+    client = MatchServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_operations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            operations_pb2.ListOperationsResponse()
+        )
+        response = await client.list_operations(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+def test_list_locations(transport: str = "grpc"):
+    client = MatchServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = locations_pb2.ListLocationsRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = locations_pb2.ListLocationsResponse()
+        response = client.list_locations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, locations_pb2.ListLocationsResponse)
+
+
+@pytest.mark.asyncio
+async def test_list_locations_async(transport: str = "grpc"):
+    client = MatchServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = locations_pb2.ListLocationsRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            locations_pb2.ListLocationsResponse()
+        )
+        response = await client.list_locations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, locations_pb2.ListLocationsResponse)
+
+
+def test_list_locations_field_headers():
+    client = MatchServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = locations_pb2.ListLocationsRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        call.return_value = locations_pb2.ListLocationsResponse()
+
+        client.list_locations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        "x-goog-request-params",
+        "name=locations",
+    ) in kw["metadata"]
+
+
+@pytest.mark.asyncio
+async def test_list_locations_field_headers_async():
+    client = MatchServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = locations_pb2.ListLocationsRequest()
+    request.name = "locations"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            locations_pb2.ListLocationsResponse()
+        )
+        await client.list_locations(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        "x-goog-request-params",
+        "name=locations",
+    ) in kw["metadata"]
+
+
+def test_list_locations_from_dict():
+    client = MatchServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = locations_pb2.ListLocationsResponse()
+
+        response = client.list_locations(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+@pytest.mark.asyncio
+async def test_list_locations_from_dict_async():
+    client = MatchServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            locations_pb2.ListLocationsResponse()
+        )
+        response = await client.list_locations(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+def test_get_location(transport: str = "grpc"):
+    client = MatchServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = locations_pb2.GetLocationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = locations_pb2.Location()
+        response = client.get_location(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, locations_pb2.Location)
+
+
+@pytest.mark.asyncio
+async def test_get_location_async(transport: str = "grpc_asyncio"):
+    client = MatchServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = locations_pb2.GetLocationRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            locations_pb2.Location()
+        )
+        response = await client.get_location(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, locations_pb2.Location)
+
+
+def test_get_location_field_headers():
+    client = MatchServiceClient(credentials=ga_credentials.AnonymousCredentials())
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = locations_pb2.GetLocationRequest()
+    request.name = "locations/abc"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
+        call.return_value = locations_pb2.Location()
+
+        client.get_location(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        "x-goog-request-params",
+        "name=locations/abc",
+    ) in kw["metadata"]
+
+
+@pytest.mark.asyncio
+async def test_get_location_field_headers_async():
+    client = MatchServiceAsyncClient(credentials=ga_credentials.AnonymousCredentials())
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = locations_pb2.GetLocationRequest()
+    request.name = "locations/abc"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_location), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            locations_pb2.Location()
+        )
+        await client.get_location(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        "x-goog-request-params",
+        "name=locations/abc",
+    ) in kw["metadata"]
+
+
+def test_get_location_from_dict():
+    client = MatchServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = locations_pb2.Location()
+
+        response = client.get_location(
+            request={
+                "name": "locations/abc",
+            }
+        )
+        call.assert_called()
+
+
+@pytest.mark.asyncio
+async def test_get_location_from_dict_async():
+    client = MatchServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.list_locations), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            locations_pb2.Location()
+        )
+        response = await client.get_location(
+            request={
+                "name": "locations",
+            }
+        )
+        call.assert_called()
+
+
+def test_set_iam_policy(transport: str = "grpc"):
+    client = MatchServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = iam_policy_pb2.SetIamPolicyRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.set_iam_policy), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = policy_pb2.Policy(
+            version=774,
+            etag=b"etag_blob",
+        )
+        response = client.set_iam_policy(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, policy_pb2.Policy)
+
+    assert response.version == 774
+
+    assert response.etag == b"etag_blob"
+
+
+@pytest.mark.asyncio
+async def test_set_iam_policy_async(transport: str = "grpc_asyncio"):
+    client = MatchServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = iam_policy_pb2.SetIamPolicyRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.set_iam_policy), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            policy_pb2.Policy(
+                version=774,
+                etag=b"etag_blob",
+            )
+        )
+        response = await client.set_iam_policy(request)
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, policy_pb2.Policy)
+
+    assert response.version == 774
+
+    assert response.etag == b"etag_blob"
+
+
+def test_set_iam_policy_field_headers():
+    client = MatchServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = iam_policy_pb2.SetIamPolicyRequest()
+    request.resource = "resource/value"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.set_iam_policy), "__call__") as call:
+        call.return_value = policy_pb2.Policy()
+
+        client.set_iam_policy(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        "x-goog-request-params",
+        "resource=resource/value",
+    ) in kw["metadata"]
+
+
+@pytest.mark.asyncio
+async def test_set_iam_policy_field_headers_async():
+    client = MatchServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = iam_policy_pb2.SetIamPolicyRequest()
+    request.resource = "resource/value"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.set_iam_policy), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(policy_pb2.Policy())
+
+        await client.set_iam_policy(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        "x-goog-request-params",
+        "resource=resource/value",
+    ) in kw["metadata"]
+
+
+def test_set_iam_policy_from_dict():
+    client = MatchServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.set_iam_policy), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = policy_pb2.Policy()
+
+        response = client.set_iam_policy(
+            request={
+                "resource": "resource_value",
+                "policy": policy_pb2.Policy(version=774),
+            }
+        )
+        call.assert_called()
+
+
+@pytest.mark.asyncio
+async def test_set_iam_policy_from_dict_async():
+    client = MatchServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.set_iam_policy), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(policy_pb2.Policy())
+
+        response = await client.set_iam_policy(
+            request={
+                "resource": "resource_value",
+                "policy": policy_pb2.Policy(version=774),
+            }
+        )
+        call.assert_called()
+
+
+def test_get_iam_policy(transport: str = "grpc"):
+    client = MatchServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = iam_policy_pb2.GetIamPolicyRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_iam_policy), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = policy_pb2.Policy(
+            version=774,
+            etag=b"etag_blob",
+        )
+
+        response = client.get_iam_policy(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, policy_pb2.Policy)
+
+    assert response.version == 774
+
+    assert response.etag == b"etag_blob"
+
+
+@pytest.mark.asyncio
+async def test_get_iam_policy_async(transport: str = "grpc_asyncio"):
+    client = MatchServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = iam_policy_pb2.GetIamPolicyRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_iam_policy), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            policy_pb2.Policy(
+                version=774,
+                etag=b"etag_blob",
+            )
+        )
+
+        response = await client.get_iam_policy(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, policy_pb2.Policy)
+
+    assert response.version == 774
+
+    assert response.etag == b"etag_blob"
+
+
+def test_get_iam_policy_field_headers():
+    client = MatchServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = iam_policy_pb2.GetIamPolicyRequest()
+    request.resource = "resource/value"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_iam_policy), "__call__") as call:
+        call.return_value = policy_pb2.Policy()
+
+        client.get_iam_policy(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        "x-goog-request-params",
+        "resource=resource/value",
+    ) in kw["metadata"]
+
+
+@pytest.mark.asyncio
+async def test_get_iam_policy_field_headers_async():
+    client = MatchServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = iam_policy_pb2.GetIamPolicyRequest()
+    request.resource = "resource/value"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_iam_policy), "__call__") as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(policy_pb2.Policy())
+
+        await client.get_iam_policy(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        "x-goog-request-params",
+        "resource=resource/value",
+    ) in kw["metadata"]
+
+
+def test_get_iam_policy_from_dict():
+    client = MatchServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_iam_policy), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = policy_pb2.Policy()
+
+        response = client.get_iam_policy(
+            request={
+                "resource": "resource_value",
+                "options": options_pb2.GetPolicyOptions(requested_policy_version=2598),
+            }
+        )
+        call.assert_called()
+
+
+@pytest.mark.asyncio
+async def test_get_iam_policy_from_dict_async():
+    client = MatchServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(type(client.transport.get_iam_policy), "__call__") as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(policy_pb2.Policy())
+
+        response = await client.get_iam_policy(
+            request={
+                "resource": "resource_value",
+                "options": options_pb2.GetPolicyOptions(requested_policy_version=2598),
+            }
+        )
+        call.assert_called()
+
+
+def test_test_iam_permissions(transport: str = "grpc"):
+    client = MatchServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = iam_policy_pb2.TestIamPermissionsRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.test_iam_permissions), "__call__"
+    ) as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = iam_policy_pb2.TestIamPermissionsResponse(
+            permissions=["permissions_value"],
+        )
+
+        response = client.test_iam_permissions(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, iam_policy_pb2.TestIamPermissionsResponse)
+
+    assert response.permissions == ["permissions_value"]
+
+
+@pytest.mark.asyncio
+async def test_test_iam_permissions_async(transport: str = "grpc_asyncio"):
+    client = MatchServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = iam_policy_pb2.TestIamPermissionsRequest()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.test_iam_permissions), "__call__"
+    ) as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            iam_policy_pb2.TestIamPermissionsResponse(
+                permissions=["permissions_value"],
+            )
+        )
+
+        response = await client.test_iam_permissions(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+
+        assert args[0] == request
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, iam_policy_pb2.TestIamPermissionsResponse)
+
+    assert response.permissions == ["permissions_value"]
+
+
+def test_test_iam_permissions_field_headers():
+    client = MatchServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = iam_policy_pb2.TestIamPermissionsRequest()
+    request.resource = "resource/value"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.test_iam_permissions), "__call__"
+    ) as call:
+        call.return_value = iam_policy_pb2.TestIamPermissionsResponse()
+
+        client.test_iam_permissions(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        "x-goog-request-params",
+        "resource=resource/value",
+    ) in kw["metadata"]
+
+
+@pytest.mark.asyncio
+async def test_test_iam_permissions_field_headers_async():
+    client = MatchServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = iam_policy_pb2.TestIamPermissionsRequest()
+    request.resource = "resource/value"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.test_iam_permissions), "__call__"
+    ) as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            iam_policy_pb2.TestIamPermissionsResponse()
+        )
+
+        await client.test_iam_permissions(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        "x-goog-request-params",
+        "resource=resource/value",
+    ) in kw["metadata"]
+
+
+def test_test_iam_permissions_from_dict():
+    client = MatchServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.test_iam_permissions), "__call__"
+    ) as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = iam_policy_pb2.TestIamPermissionsResponse()
+
+        response = client.test_iam_permissions(
+            request={
+                "resource": "resource_value",
+                "permissions": ["permissions_value"],
+            }
+        )
+        call.assert_called()
+
+
+@pytest.mark.asyncio
+async def test_test_iam_permissions_from_dict_async():
+    client = MatchServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.test_iam_permissions), "__call__"
+    ) as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            iam_policy_pb2.TestIamPermissionsResponse()
+        )
+
+        response = await client.test_iam_permissions(
+            request={
+                "resource": "resource_value",
+                "permissions": ["permissions_value"],
+            }
+        )
+        call.assert_called()
+
+
+def test_transport_close():
+    transports = {
+        "grpc": "_grpc_channel",
+    }
+
+    for transport, close_name in transports.items():
+        client = MatchServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(), transport=transport
+        )
+        with mock.patch.object(
+            type(getattr(client.transport, close_name)), "close"
+        ) as close:
+            with client:
+                close.assert_not_called()
+            close.assert_called_once()
+
+
+def test_client_ctx():
+    transports = [
+        "grpc",
+    ]
+    for transport in transports:
+        client = MatchServiceClient(
+            credentials=ga_credentials.AnonymousCredentials(), transport=transport
+        )
+        # Test client calls underlying transport.
+        with mock.patch.object(type(client.transport), "close") as close:
+            close.assert_not_called()
+            with client:
+                pass
+            close.assert_called()
+
+
+@pytest.mark.parametrize(
+    "client_class,transport_class",
+    [
+        (MatchServiceClient, transports.MatchServiceGrpcTransport),
+        (MatchServiceAsyncClient, transports.MatchServiceGrpcAsyncIOTransport),
+    ],
+)
+def test_api_key_credentials(client_class, transport_class):
+    with mock.patch.object(
+        google.auth._default, "get_api_key_credentials", create=True
+    ) as get_api_key_credentials:
+        mock_cred = mock.Mock()
+        get_api_key_credentials.return_value = mock_cred
+        options = client_options.ClientOptions()
+        options.api_key = "api_key"
+        with mock.patch.object(transport_class, "__init__") as patched:
+            patched.return_value = None
+            client = client_class(client_options=options)
+            patched.assert_called_once_with(
+                credentials=mock_cred,
+                credentials_file=None,
+                host=client.DEFAULT_ENDPOINT,
+                scopes=None,
+                client_cert_source_for_mtls=None,
+                quota_project_id=None,
+                client_info=transports.base.DEFAULT_CLIENT_INFO,
+                always_use_jwt_access=True,
+                api_audience=None,
+            )
diff --git a/tests/unit/gapic/aiplatform_v1beta1/test_model_service.py b/tests/unit/gapic/aiplatform_v1beta1/test_model_service.py
index 66cc51389f..20e72eea51 100644
--- a/tests/unit/gapic/aiplatform_v1beta1/test_model_service.py
+++ b/tests/unit/gapic/aiplatform_v1beta1/test_model_service.py
@@ -50,6 +50,7 @@
 from google.cloud.aiplatform_v1beta1.types import deployed_model_ref
 from google.cloud.aiplatform_v1beta1.types import encryption_spec
 from google.cloud.aiplatform_v1beta1.types import env_var
+from google.cloud.aiplatform_v1beta1.types import evaluated_annotation
 from google.cloud.aiplatform_v1beta1.types import explanation
 from google.cloud.aiplatform_v1beta1.types import explanation_metadata
 from google.cloud.aiplatform_v1beta1.types import io
@@ -72,6 +73,7 @@
 from google.protobuf import field_mask_pb2  # type: ignore
 from google.protobuf import struct_pb2  # type: ignore
 from google.protobuf import timestamp_pb2  # type: ignore
+from google.protobuf import wrappers_pb2  # type: ignore
 import google.auth
 
 
@@ -4461,6 +4463,287 @@ async def test_batch_import_model_evaluation_slices_flattened_error_async():
         )
 
 
+@pytest.mark.parametrize(
+    "request_type",
+    [
+        model_service.BatchImportEvaluatedAnnotationsRequest,
+        dict,
+    ],
+)
+def test_batch_import_evaluated_annotations(request_type, transport: str = "grpc"):
+    client = ModelServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.batch_import_evaluated_annotations), "__call__"
+    ) as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = model_service.BatchImportEvaluatedAnnotationsResponse(
+            imported_evaluated_annotations_count=3859,
+        )
+        response = client.batch_import_evaluated_annotations(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == model_service.BatchImportEvaluatedAnnotationsRequest()
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, model_service.BatchImportEvaluatedAnnotationsResponse)
+    assert response.imported_evaluated_annotations_count == 3859
+
+
+def test_batch_import_evaluated_annotations_empty_call():
+    # This test is a coverage failsafe to make sure that totally empty calls,
+    # i.e. request == None and no flattened fields passed, work.
+    client = ModelServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport="grpc",
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.batch_import_evaluated_annotations), "__call__"
+    ) as call:
+        client.batch_import_evaluated_annotations()
+        call.assert_called()
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == model_service.BatchImportEvaluatedAnnotationsRequest()
+
+
+@pytest.mark.asyncio
+async def test_batch_import_evaluated_annotations_async(
+    transport: str = "grpc_asyncio",
+    request_type=model_service.BatchImportEvaluatedAnnotationsRequest,
+):
+    client = ModelServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+        transport=transport,
+    )
+
+    # Everything is optional in proto3 as far as the runtime is concerned,
+    # and we are mocking out the actual API, so just send an empty request.
+    request = request_type()
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.batch_import_evaluated_annotations), "__call__"
+    ) as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            model_service.BatchImportEvaluatedAnnotationsResponse(
+                imported_evaluated_annotations_count=3859,
+            )
+        )
+        response = await client.batch_import_evaluated_annotations(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == model_service.BatchImportEvaluatedAnnotationsRequest()
+
+    # Establish that the response is the type that we expect.
+    assert isinstance(response, model_service.BatchImportEvaluatedAnnotationsResponse)
+    assert response.imported_evaluated_annotations_count == 3859
+
+
+@pytest.mark.asyncio
+async def test_batch_import_evaluated_annotations_async_from_dict():
+    await test_batch_import_evaluated_annotations_async(request_type=dict)
+
+
+def test_batch_import_evaluated_annotations_field_headers():
+    client = ModelServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = model_service.BatchImportEvaluatedAnnotationsRequest()
+
+    request.parent = "parent_value"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.batch_import_evaluated_annotations), "__call__"
+    ) as call:
+        call.return_value = model_service.BatchImportEvaluatedAnnotationsResponse()
+        client.batch_import_evaluated_annotations(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        "x-goog-request-params",
+        "parent=parent_value",
+    ) in kw["metadata"]
+
+
+@pytest.mark.asyncio
+async def test_batch_import_evaluated_annotations_field_headers_async():
+    client = ModelServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Any value that is part of the HTTP/1.1 URI should be sent as
+    # a field header. Set these to a non-empty value.
+    request = model_service.BatchImportEvaluatedAnnotationsRequest()
+
+    request.parent = "parent_value"
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.batch_import_evaluated_annotations), "__call__"
+    ) as call:
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            model_service.BatchImportEvaluatedAnnotationsResponse()
+        )
+        await client.batch_import_evaluated_annotations(request)
+
+        # Establish that the underlying gRPC stub method was called.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        assert args[0] == request
+
+    # Establish that the field header was sent.
+    _, _, kw = call.mock_calls[0]
+    assert (
+        "x-goog-request-params",
+        "parent=parent_value",
+    ) in kw["metadata"]
+
+
+def test_batch_import_evaluated_annotations_flattened():
+    client = ModelServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.batch_import_evaluated_annotations), "__call__"
+    ) as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = model_service.BatchImportEvaluatedAnnotationsResponse()
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        client.batch_import_evaluated_annotations(
+            parent="parent_value",
+            evaluated_annotations=[
+                evaluated_annotation.EvaluatedAnnotation(
+                    type_=evaluated_annotation.EvaluatedAnnotation.EvaluatedAnnotationType.TRUE_POSITIVE
+                )
+            ],
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls) == 1
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = "parent_value"
+        assert arg == mock_val
+        arg = args[0].evaluated_annotations
+        mock_val = [
+            evaluated_annotation.EvaluatedAnnotation(
+                type_=evaluated_annotation.EvaluatedAnnotation.EvaluatedAnnotationType.TRUE_POSITIVE
+            )
+        ]
+        assert arg == mock_val
+
+
+def test_batch_import_evaluated_annotations_flattened_error():
+    client = ModelServiceClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        client.batch_import_evaluated_annotations(
+            model_service.BatchImportEvaluatedAnnotationsRequest(),
+            parent="parent_value",
+            evaluated_annotations=[
+                evaluated_annotation.EvaluatedAnnotation(
+                    type_=evaluated_annotation.EvaluatedAnnotation.EvaluatedAnnotationType.TRUE_POSITIVE
+                )
+            ],
+        )
+
+
+@pytest.mark.asyncio
+async def test_batch_import_evaluated_annotations_flattened_async():
+    client = ModelServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Mock the actual call within the gRPC stub, and fake the request.
+    with mock.patch.object(
+        type(client.transport.batch_import_evaluated_annotations), "__call__"
+    ) as call:
+        # Designate an appropriate return value for the call.
+        call.return_value = model_service.BatchImportEvaluatedAnnotationsResponse()
+
+        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
+            model_service.BatchImportEvaluatedAnnotationsResponse()
+        )
+        # Call the method with a truthy value for each flattened field,
+        # using the keyword arguments to the method.
+        response = await client.batch_import_evaluated_annotations(
+            parent="parent_value",
+            evaluated_annotations=[
+                evaluated_annotation.EvaluatedAnnotation(
+                    type_=evaluated_annotation.EvaluatedAnnotation.EvaluatedAnnotationType.TRUE_POSITIVE
+                )
+            ],
+        )
+
+        # Establish that the underlying call was made with the expected
+        # request object values.
+        assert len(call.mock_calls)
+        _, args, _ = call.mock_calls[0]
+        arg = args[0].parent
+        mock_val = "parent_value"
+        assert arg == mock_val
+        arg = args[0].evaluated_annotations
+        mock_val = [
+            evaluated_annotation.EvaluatedAnnotation(
+                type_=evaluated_annotation.EvaluatedAnnotation.EvaluatedAnnotationType.TRUE_POSITIVE
+            )
+        ]
+        assert arg == mock_val
+
+
+@pytest.mark.asyncio
+async def test_batch_import_evaluated_annotations_flattened_error_async():
+    client = ModelServiceAsyncClient(
+        credentials=ga_credentials.AnonymousCredentials(),
+    )
+
+    # Attempting to call a method with both a request object and flattened
+    # fields is an error.
+    with pytest.raises(ValueError):
+        await client.batch_import_evaluated_annotations(
+            model_service.BatchImportEvaluatedAnnotationsRequest(),
+            parent="parent_value",
+            evaluated_annotations=[
+                evaluated_annotation.EvaluatedAnnotation(
+                    type_=evaluated_annotation.EvaluatedAnnotation.EvaluatedAnnotationType.TRUE_POSITIVE
+                )
+            ],
+        )
+
+
 @pytest.mark.parametrize(
     "request_type",
     [
@@ -6012,6 +6295,7 @@ def test_model_service_base_transport():
         "copy_model",
         "import_model_evaluation",
         "batch_import_model_evaluation_slices",
+        "batch_import_evaluated_annotations",
         "get_model_evaluation",
         "list_model_evaluations",
         "get_model_evaluation_slice",