Copybara import of the project:

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255d3de by Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com>:

feat: add Gen AI logging public preview API

PiperOrigin-RevId: 743220774

Source-Link: googleapis/googleapis@3b446a9

Source-Link: googleapis/googleapis-gen@52443a8
Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiNTI0NDNhOGRmZDc0MGZmZDU4OTY1YzI3ZjExMzI4NGQyNGZmYTU2ZiJ9

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32983cd by Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com>:

🦉 Updates from OwlBot post-processor

See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md

COPYBARA_INTEGRATE_REVIEW=#5139 from googleapis:owl-bot-copy ee83524
PiperOrigin-RevId: 743328858

Author: gcf-owl-bot[bot]

google/cloud/aiplatform_v1beta1/__init__.py

@@ -223,19 +223,23 @@
 from .types.endpoint import FasterDeploymentConfig
 from .types.endpoint import PredictRequestResponseLoggingConfig
 from .types.endpoint import PrivateEndpoints
+from .types.endpoint import PublisherModelConfig
 from .types.endpoint import RolloutOptions
 from .types.endpoint_service import CreateEndpointOperationMetadata
 from .types.endpoint_service import CreateEndpointRequest
 from .types.endpoint_service import DeleteEndpointRequest
 from .types.endpoint_service import DeployModelOperationMetadata
 from .types.endpoint_service import DeployModelRequest
 from .types.endpoint_service import DeployModelResponse
+from .types.endpoint_service import FetchPublisherModelConfigRequest
 from .types.endpoint_service import GetEndpointRequest
 from .types.endpoint_service import ListEndpointsRequest
 from .types.endpoint_service import ListEndpointsResponse
 from .types.endpoint_service import MutateDeployedModelOperationMetadata
 from .types.endpoint_service import MutateDeployedModelRequest
 from .types.endpoint_service import MutateDeployedModelResponse
+from .types.endpoint_service import SetPublisherModelConfigOperationMetadata
+from .types.endpoint_service import SetPublisherModelConfigRequest
 from .types.endpoint_service import UndeployModelOperationMetadata
 from .types.endpoint_service import UndeployModelRequest
 from .types.endpoint_service import UndeployModelResponse
@@ -1661,6 +1665,7 @@
     "FetchExamplesResponse",
     "FetchFeatureValuesRequest",
     "FetchFeatureValuesResponse",
+    "FetchPublisherModelConfigRequest",
     "FileData",
     "FileStatus",
     "FilterSplit",
@@ -2051,6 +2056,7 @@
     "PscAutomatedEndpoints",
     "PscInterfaceConfig",
     "PublisherModel",
+    "PublisherModelConfig",
     "PublisherModelView",
     "PurgeArtifactsMetadata",
     "PurgeArtifactsRequest",
@@ -2197,6 +2203,8 @@
     "Session",
     "SessionEvent",
     "SessionServiceClient",
+    "SetPublisherModelConfigOperationMetadata",
+    "SetPublisherModelConfigRequest",
     "SharePointSources",
     "ShieldedVmConfig",
     "SlackSource",

google/cloud/aiplatform_v1beta1/gapic_metadata.json

@@ -468,6 +468,11 @@
                 "deploy_model"
               ]
             },
+            "FetchPublisherModelConfig": {
+              "methods": [
+                "fetch_publisher_model_config"
+              ]
+            },
             "GetEndpoint": {
               "methods": [
                 "get_endpoint"
@@ -483,6 +488,11 @@
                 "mutate_deployed_model"
               ]
             },
+            "SetPublisherModelConfig": {
+              "methods": [
+                "set_publisher_model_config"
+              ]
+            },
             "UndeployModel": {
               "methods": [
                 "undeploy_model"
@@ -518,6 +528,11 @@
                 "deploy_model"
               ]
             },
+            "FetchPublisherModelConfig": {
+              "methods": [
+                "fetch_publisher_model_config"
+              ]
+            },
             "GetEndpoint": {
               "methods": [
                 "get_endpoint"
@@ -533,6 +548,11 @@
                 "mutate_deployed_model"
               ]
             },
+            "SetPublisherModelConfig": {
+              "methods": [
+                "set_publisher_model_config"
+              ]
+            },
             "UndeployModel": {
               "methods": [
                 "undeploy_model"
@@ -568,6 +588,11 @@
                 "deploy_model"
               ]
             },
+            "FetchPublisherModelConfig": {
+              "methods": [
+                "fetch_publisher_model_config"
+              ]
+            },
             "GetEndpoint": {
               "methods": [
                 "get_endpoint"
@@ -583,6 +608,11 @@
                 "mutate_deployed_model"
               ]
             },
+            "SetPublisherModelConfig": {
+              "methods": [
+                "set_publisher_model_config"
+              ]
+            },
             "UndeployModel": {
               "methods": [
                 "undeploy_model"

google/cloud/aiplatform_v1beta1/services/endpoint_service/async_client.py

@@ -1613,6 +1613,259 @@ async def sample_mutate_deployed_model():
         # Done; return the response.
         return response
 
+    async def set_publisher_model_config(
+        self,
+        request: Optional[
+            Union[endpoint_service.SetPublisherModelConfigRequest, dict]
+        ] = None,
+        *,
+        name: Optional[str] = None,
+        publisher_model_config: Optional[endpoint.PublisherModelConfig] = None,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, Union[str, bytes]]] = (),
+    ) -> operation_async.AsyncOperation:
+        r"""Sets (creates or updates) configs of publisher
+        models. For example, sets the request/response logging
+        config.
+
+        .. 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_set_publisher_model_config():
+                # Create a client
+                client = aiplatform_v1beta1.EndpointServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = aiplatform_v1beta1.SetPublisherModelConfigRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                operation = client.set_publisher_model_config(request=request)
+
+                print("Waiting for operation to complete...")
+
+                response = (await operation).result()
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.aiplatform_v1beta1.types.SetPublisherModelConfigRequest, dict]]):
+                The request object. Request message for
+                [EndpointService.SetPublisherModelConfig][google.cloud.aiplatform.v1beta1.EndpointService.SetPublisherModelConfig].
+            name (:class:`str`):
+                Required. The name of the publisher model, in the format
+                of
+                ``projects/{project}/locations/{location}/publishers/{publisher}/models/{model}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            publisher_model_config (:class:`google.cloud.aiplatform_v1beta1.types.PublisherModelConfig`):
+                Required. The publisher model config.
+                This corresponds to the ``publisher_model_config`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be
+                sent along with the request as metadata. Normally, each value must be of type `str`,
+                but for metadata keys ending with the suffix `-bin`, the corresponding values must
+                be of type `bytes`.
+
+        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_v1beta1.types.PublisherModelConfig`
+                This message contains configs of a publisher model.
+
+        """
+        # 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.
+        flattened_params = [name, publisher_model_config]
+        has_flattened_params = (
+            len([param for param in flattened_params if param is not None]) > 0
+        )
+        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."
+            )
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, endpoint_service.SetPublisherModelConfigRequest):
+            request = endpoint_service.SetPublisherModelConfigRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+        if publisher_model_config is not None:
+            request.publisher_model_config = publisher_model_config
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[
+            self._client._transport.set_publisher_model_config
+        ]
+
+        # 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),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # 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,
+            endpoint.PublisherModelConfig,
+            metadata_type=endpoint_service.SetPublisherModelConfigOperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def fetch_publisher_model_config(
+        self,
+        request: Optional[
+            Union[endpoint_service.FetchPublisherModelConfigRequest, dict]
+        ] = None,
+        *,
+        name: Optional[str] = None,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, Union[str, bytes]]] = (),
+    ) -> endpoint.PublisherModelConfig:
+        r"""Fetches the configs of publisher models.
+
+        .. 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_fetch_publisher_model_config():
+                # Create a client
+                client = aiplatform_v1beta1.EndpointServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = aiplatform_v1beta1.FetchPublisherModelConfigRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = await client.fetch_publisher_model_config(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.aiplatform_v1beta1.types.FetchPublisherModelConfigRequest, dict]]):
+                The request object. Request message for
+                [EndpointService.FetchPublisherModelConfig][google.cloud.aiplatform.v1beta1.EndpointService.FetchPublisherModelConfig].
+            name (:class:`str`):
+                Required. The name of the publisher model, in the format
+                of
+                ``projects/{project}/locations/{location}/publishers/{publisher}/models/{model}``.
+
+                This corresponds to the ``name`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
+                should be retried.
+            timeout (float): The timeout for this request.
+            metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be
+                sent along with the request as metadata. Normally, each value must be of type `str`,
+                but for metadata keys ending with the suffix `-bin`, the corresponding values must
+                be of type `bytes`.
+
+        Returns:
+            google.cloud.aiplatform_v1beta1.types.PublisherModelConfig:
+                This message contains configs of a
+                publisher model.
+
+        """
+        # 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.
+        flattened_params = [name]
+        has_flattened_params = (
+            len([param for param in flattened_params if param is not None]) > 0
+        )
+        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."
+            )
+
+        # - Use the request object if provided (there's no risk of modifying the input as
+        #   there are no flattened fields), or create one.
+        if not isinstance(request, endpoint_service.FetchPublisherModelConfigRequest):
+            request = endpoint_service.FetchPublisherModelConfigRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[
+            self._client._transport.fetch_publisher_model_config
+        ]
+
+        # 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),)),
+        )
+
+        # Validate the universe domain.
+        self._client._validate_universe_domain()
+
+        # 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,