chore: Copybara Merge: #4441

Copybara import of the project:

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575acc3 by Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com>:

feat: add new `PscInterfaceConfig` field to `pipeline_job.proto`

PiperOrigin-RevId: 680823763

Source-Link: googleapis/googleapis@8f00dab

Source-Link: googleapis/googleapis-gen@e58485b
Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiZTU4NDg1YjY3MDU1MGI2Yjc4MzUxZWRlNDk2YWQzY2VkMTUwOTUzNCJ9

feat: add psc_automation_configs to DeployIndex v1

PiperOrigin-RevId: 680742448

Source-Link: googleapis/googleapis@ce31830

Source-Link: googleapis/googleapis-gen@5254135
Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiNTI1NDEzNWNkOTA4OWYzNWM5ZjUzN2FiYTU2N2RkMjlhY2NlNTQxMyJ9

feat: add a dynamic retrieval API

PiperOrigin-RevId: 680475495

Source-Link: googleapis/googleapis@a6a6956

Source-Link: googleapis/googleapis-gen@c9ef9e0
Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiYzllZjllMDBmOTBhZTJjNTc0ZjgwMGI2NjZmZTc0ODYyMjBiOWJmMiJ9

fix: annotate PipelineJob and PipelineTaskRerunConfig fields as optional

PiperOrigin-RevId: 679707420

Source-Link: googleapis/googleapis@d6f1848

Source-Link: googleapis/googleapis-gen@f6c16c2
Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiZjZjMTZjMjAwMGIwZGYxNTgxZGFmMjNlNjU1ZjNmYTRlMzNkZmY5OSJ9

feat: add TunedModelRef and RebaseTunedModel Api for Vertex GenAiTuningService
docs: limit comment `SupervisedTuningSpec` for 1p tuning

PiperOrigin-RevId: 676970579

Source-Link: googleapis/googleapis@30009c9

Source-Link: googleapis/googleapis-gen@6d9cc8d
Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiNmQ5Y2M4ZDYwYWZmNjUxYTZjNDhmYjBhOTUxZGQ4YTgzZTA2YTI2NyJ9

feat: add TunedModelRef and RebaseTunedModel Api for Vertex GenAiTuningService
docs: limit comment `SupervisedTuningSpec` for 1p tuning

PiperOrigin-RevId: 676969679

Source-Link: googleapis/googleapis@2a98f79

Source-Link: googleapis/googleapis-gen@eb6e7f5
Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiZWI2ZTdmNTk1YTg2YjM4NWYxZjQ1OTNlNDNjYmUxMDE1YzI5ZWY3OSJ9

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73b1e23 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

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07b715e by Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com>:

feat: add enable_secure_private_service_connect in service attachment

PiperOrigin-RevId: 681172589

Source-Link: googleapis/googleapis@16a1580

Source-Link: googleapis/googleapis-gen@87fb5dc
Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiODdmYjVkYzczOGFkZmE1ZDMxM2E1ODM2ODFlNDc2ZTM0NzBkNjllNSJ9

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09d0085 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=#4441 from googleapis:owl-bot-copy 2fd38f0
PiperOrigin-RevId: 682002210

google/cloud/aiplatform_v1/__init__.py

@@ -436,6 +436,8 @@
 from .types.genai_tuning_service import GetTuningJobRequest
 from .types.genai_tuning_service import ListTuningJobsRequest
 from .types.genai_tuning_service import ListTuningJobsResponse
+from .types.genai_tuning_service import RebaseTunedModelOperationMetadata
+from .types.genai_tuning_service import RebaseTunedModelRequest
 from .types.hyperparameter_tuning_job import HyperparameterTuningJob
 from .types.index import Index
 from .types.index import IndexDatapoint
@@ -789,6 +791,7 @@
 from .types.schedule_service import UpdateScheduleRequest
 from .types.service_networking import PrivateServiceConnectConfig
 from .types.service_networking import PscAutomatedEndpoints
+from .types.service_networking import PSCAutomationConfig
 from .types.specialist_pool import SpecialistPool
 from .types.specialist_pool_service import CreateSpecialistPoolOperationMetadata
 from .types.specialist_pool_service import CreateSpecialistPoolRequest
@@ -881,6 +884,7 @@
 from .types.tuning_job import SupervisedTuningDataStats
 from .types.tuning_job import SupervisedTuningSpec
 from .types.tuning_job import TunedModel
+from .types.tuning_job import TunedModelRef
 from .types.tuning_job import TuningDataStats
 from .types.tuning_job import TuningJob
 from .types.types import BoolArray
@@ -1481,6 +1485,7 @@
     "NotebookRuntimeTemplateRef",
     "NotebookRuntimeType",
     "NotebookServiceClient",
+    "PSCAutomationConfig",
     "PairwiseChoice",
     "PairwiseMetricInput",
     "PairwiseMetricInstance",
@@ -1573,6 +1578,8 @@
     "ReadTensorboardTimeSeriesDataResponse",
     "ReadTensorboardUsageRequest",
     "ReadTensorboardUsageResponse",
+    "RebaseTunedModelOperationMetadata",
+    "RebaseTunedModelRequest",
     "RebootPersistentResourceOperationMetadata",
     "RebootPersistentResourceRequest",
     "RemoveContextChildrenRequest",
@@ -1710,6 +1717,7 @@
     "Trial",
     "TrialContext",
     "TunedModel",
+    "TunedModelRef",
     "TuningDataStats",
     "TuningJob",
     "Type",

google/cloud/aiplatform_v1/gapic_metadata.json

@@ -1445,6 +1445,11 @@
               "methods": [
                 "list_tuning_jobs"
               ]
+            },
+            "RebaseTunedModel": {
+              "methods": [
+                "rebase_tuned_model"
+              ]
             }
           }
         },
@@ -1470,6 +1475,11 @@
               "methods": [
                 "list_tuning_jobs"
               ]
+            },
+            "RebaseTunedModel": {
+              "methods": [
+                "rebase_tuned_model"
+              ]
             }
           }
         },
@@ -1495,6 +1505,11 @@
               "methods": [
                 "list_tuning_jobs"
               ]
+            },
+            "RebaseTunedModel": {
+              "methods": [
+                "rebase_tuned_model"
+              ]
             }
           }
         }

google/cloud/aiplatform_v1/services/gen_ai_tuning_service/async_client.py

@@ -43,6 +43,8 @@
 except AttributeError:  # pragma: NO COVER
     OptionalRetry = Union[retries.AsyncRetry, object, None]  # type: ignore
 
+from google.api_core import operation  # type: ignore
+from google.api_core import operation_async  # type: ignore
 from google.cloud.aiplatform_v1.services.gen_ai_tuning_service import pagers
 from google.cloud.aiplatform_v1.types import encryption_spec
 from google.cloud.aiplatform_v1.types import genai_tuning_service
@@ -78,6 +80,10 @@ class GenAiTuningServiceAsyncClient:
     parse_endpoint_path = staticmethod(GenAiTuningServiceClient.parse_endpoint_path)
     model_path = staticmethod(GenAiTuningServiceClient.model_path)
     parse_model_path = staticmethod(GenAiTuningServiceClient.parse_model_path)
+    pipeline_job_path = staticmethod(GenAiTuningServiceClient.pipeline_job_path)
+    parse_pipeline_job_path = staticmethod(
+        GenAiTuningServiceClient.parse_pipeline_job_path
+    )
     tuning_job_path = staticmethod(GenAiTuningServiceClient.tuning_job_path)
     parse_tuning_job_path = staticmethod(GenAiTuningServiceClient.parse_tuning_job_path)
     common_billing_account_path = staticmethod(
@@ -735,6 +741,148 @@ async def sample_cancel_tuning_job():
             metadata=metadata,
         )
 
+    async def rebase_tuned_model(
+        self,
+        request: Optional[
+            Union[genai_tuning_service.RebaseTunedModelRequest, dict]
+        ] = None,
+        *,
+        parent: Optional[str] = None,
+        tuned_model_ref: Optional[tuning_job.TunedModelRef] = None,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> operation_async.AsyncOperation:
+        r"""Rebase a TunedModel.
+        Creates a LongRunningOperation that takes a legacy Tuned
+        GenAI model Reference and creates a TuningJob based on
+        newly available model.
+
+        .. 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_rebase_tuned_model():
+                # Create a client
+                client = aiplatform_v1.GenAiTuningServiceAsyncClient()
+
+                # Initialize request argument(s)
+                tuned_model_ref = aiplatform_v1.TunedModelRef()
+                tuned_model_ref.tuned_model = "tuned_model_value"
+
+                request = aiplatform_v1.RebaseTunedModelRequest(
+                    parent="parent_value",
+                    tuned_model_ref=tuned_model_ref,
+                )
+
+                # Make the request
+                operation = client.rebase_tuned_model(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.RebaseTunedModelRequest, dict]]):
+                The request object. Request message for
+                [GenAiTuningService.RebaseTunedModel][google.cloud.aiplatform.v1.GenAiTuningService.RebaseTunedModel].
+            parent (:class:`str`):
+                Required. The resource name of the Location into which
+                to rebase the Model. Format:
+                ``projects/{project}/locations/{location}``
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            tuned_model_ref (:class:`google.cloud.aiplatform_v1.types.TunedModelRef`):
+                Required. TunedModel reference to
+                retrieve the legacy model information.
+
+                This corresponds to the ``tuned_model_ref`` 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, 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.TuningJob`
+                Represents a TuningJob that runs with Google owned
+                models.
+
+        """
+        # 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, tuned_model_ref])
+        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, genai_tuning_service.RebaseTunedModelRequest):
+            request = genai_tuning_service.RebaseTunedModelRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+        if tuned_model_ref is not None:
+            request.tuned_model_ref = tuned_model_ref
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[
+            self._client._transport.rebase_tuned_model
+        ]
+
+        # 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),)),
+        )
+
+        # 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,
+            tuning_job.TuningJob,
+            metadata_type=genai_tuning_service.RebaseTunedModelOperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
     async def list_operations(
         self,
         request: Optional[operations_pb2.ListOperationsRequest] = None,