🦉 Updates from OwlBot post-processor

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

Author: gcf-owl-bot[bot]

google/cloud/aiplatform_v1beta1/__init__.py

@@ -1297,6 +1297,11 @@
 from .types.vertex_rag_data_service import UpdateRagEngineConfigRequest
 from .types.vertex_rag_data_service import UploadRagFileRequest
 from .types.vertex_rag_data_service import UploadRagFileResponse
+from .types.vertex_rag_service import AskContextsRequest
+from .types.vertex_rag_service import AskContextsResponse
+from .types.vertex_rag_service import AsyncRetrieveContextsOperationMetadata
+from .types.vertex_rag_service import AsyncRetrieveContextsRequest
+from .types.vertex_rag_service import AsyncRetrieveContextsResponse
 from .types.vertex_rag_service import AugmentPromptRequest
 from .types.vertex_rag_service import AugmentPromptResponse
 from .types.vertex_rag_service import Claim
@@ -1482,6 +1487,8 @@ def _get_version(dependency_name):
     "AppendEventResponse",
     "Artifact",
     "ArtifactTypeSchema",
+    "AskContextsRequest",
+    "AskContextsResponse",
     "AssembleDataOperationMetadata",
     "AssembleDataRequest",
     "AssembleDataResponse",
@@ -1490,6 +1497,9 @@ def _get_version(dependency_name):
     "AssessDataResponse",
     "AssignNotebookRuntimeOperationMetadata",
     "AssignNotebookRuntimeRequest",
+    "AsyncRetrieveContextsOperationMetadata",
+    "AsyncRetrieveContextsRequest",
+    "AsyncRetrieveContextsResponse",
     "Attribution",
     "AugmentPromptRequest",
     "AugmentPromptResponse",

google/cloud/aiplatform_v1beta1/gapic_metadata.json

@@ -6364,6 +6364,16 @@
         "grpc": {
           "libraryClient": "VertexRagServiceClient",
           "rpcs": {
+            "AskContexts": {
+              "methods": [
+                "ask_contexts"
+              ]
+            },
+            "AsyncRetrieveContexts": {
+              "methods": [
+                "async_retrieve_contexts"
+              ]
+            },
             "AugmentPrompt": {
               "methods": [
                 "augment_prompt"
@@ -6384,6 +6394,16 @@
         "grpc-async": {
           "libraryClient": "VertexRagServiceAsyncClient",
           "rpcs": {
+            "AskContexts": {
+              "methods": [
+                "ask_contexts"
+              ]
+            },
+            "AsyncRetrieveContexts": {
+              "methods": [
+                "async_retrieve_contexts"
+              ]
+            },
             "AugmentPrompt": {
               "methods": [
                 "augment_prompt"
@@ -6404,6 +6424,16 @@
         "rest": {
           "libraryClient": "VertexRagServiceClient",
           "rpcs": {
+            "AskContexts": {
+              "methods": [
+                "ask_contexts"
+              ]
+            },
+            "AsyncRetrieveContexts": {
+              "methods": [
+                "async_retrieve_contexts"
+              ]
+            },
             "AugmentPrompt": {
               "methods": [
                 "augment_prompt"

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

@@ -53,6 +53,8 @@
 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  # type: ignore
+import google.api_core.operation as operation  # type: ignore
+import google.api_core.operation_async as operation_async  # type: ignore
 from .transports.base import VertexRagServiceTransport, DEFAULT_CLIENT_INFO
 from .transports.grpc_asyncio import VertexRagServiceGrpcAsyncIOTransport
 from .client import VertexRagServiceClient
@@ -702,6 +704,273 @@ async def sample_corroborate_content():
         # Done; return the response.
         return response
 
+    async def ask_contexts(
+        self,
+        request: Optional[Union[vertex_rag_service.AskContextsRequest, dict]] = None,
+        *,
+        parent: Optional[str] = None,
+        query: Optional[vertex_rag_service.RagQuery] = None,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, Union[str, bytes]]] = (),
+    ) -> vertex_rag_service.AskContextsResponse:
+        r"""Agentic Retrieval Ask API for RAG.
+
+        .. 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_ask_contexts():
+                # Create a client
+                client = aiplatform_v1beta1.VertexRagServiceAsyncClient()
+
+                # Initialize request argument(s)
+                query = aiplatform_v1beta1.RagQuery()
+                query.text = "text_value"
+
+                request = aiplatform_v1beta1.AskContextsRequest(
+                    parent="parent_value",
+                    query=query,
+                )
+
+                # Make the request
+                response = await client.ask_contexts(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.aiplatform_v1beta1.types.AskContextsRequest, dict]]):
+                The request object. Agentic Retrieval Ask API for RAG. Request message for
+                [VertexRagService.AskContexts][google.cloud.aiplatform.v1beta1.VertexRagService.AskContexts].
+            parent (:class:`str`):
+                Required. The resource name of the Location from which
+                to retrieve RagContexts. The users must have permission
+                to make a call in the project. Format:
+                ``projects/{project}/locations/{location}``.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            query (:class:`google.cloud.aiplatform_v1beta1.types.RagQuery`):
+                Required. Single RAG retrieve query.
+                This corresponds to the ``query`` 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.AskContextsResponse:
+                Response message for
+                   [VertexRagService.AskContexts][google.cloud.aiplatform.v1beta1.VertexRagService.AskContexts].
+
+        """
+        # 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 = [parent, query]
+        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, vertex_rag_service.AskContextsRequest):
+            request = vertex_rag_service.AskContextsRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+        if query is not None:
+            request.query = query
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[
+            self._client._transport.ask_contexts
+        ]
+
+        # 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,
+        )
+
+        # Done; return the response.
+        return response
+
+    async def async_retrieve_contexts(
+        self,
+        request: Optional[
+            Union[vertex_rag_service.AsyncRetrieveContextsRequest, dict]
+        ] = None,
+        *,
+        parent: Optional[str] = None,
+        query: Optional[vertex_rag_service.RagQuery] = 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"""Asynchronous API to retrieves relevant contexts for a
+        query.
+
+        .. 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_async_retrieve_contexts():
+                # Create a client
+                client = aiplatform_v1beta1.VertexRagServiceAsyncClient()
+
+                # Initialize request argument(s)
+                query = aiplatform_v1beta1.RagQuery()
+                query.text = "text_value"
+
+                request = aiplatform_v1beta1.AsyncRetrieveContextsRequest(
+                    parent="parent_value",
+                    query=query,
+                )
+
+                # Make the request
+                operation = client.async_retrieve_contexts(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.AsyncRetrieveContextsRequest, dict]]):
+                The request object. Request message for
+                [VertexRagService.AsyncRetrieveContexts][google.cloud.aiplatform.v1beta1.VertexRagService.AsyncRetrieveContexts].
+            parent (:class:`str`):
+                Required. The resource name of the Location from which
+                to retrieve RagContexts. The users must have permission
+                to make a call in the project. Format:
+                ``projects/{project}/locations/{location}``.
+
+                This corresponds to the ``parent`` field
+                on the ``request`` instance; if ``request`` is provided, this
+                should not be set.
+            query (:class:`google.cloud.aiplatform_v1beta1.types.RagQuery`):
+                Required. Single RAG retrieve query.
+                This corresponds to the ``query`` 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.AsyncRetrieveContextsResponse` Response message for
+                   [VertexRagService.AsyncRetrieveContexts][google.cloud.aiplatform.v1beta1.VertexRagService.AsyncRetrieveContexts].
+
+        """
+        # 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 = [parent, query]
+        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, vertex_rag_service.AsyncRetrieveContextsRequest):
+            request = vertex_rag_service.AsyncRetrieveContextsRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if parent is not None:
+            request.parent = parent
+        if query is not None:
+            request.query = query
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._client._transport._wrapped_methods[
+            self._client._transport.async_retrieve_contexts
+        ]
+
+        # 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,
+            vertex_rag_service.AsyncRetrieveContextsResponse,
+            metadata_type=vertex_rag_service.AsyncRetrieveContextsOperationMetadata,
+        )
+
+        # Done; return the response.
+        return response
+
     async def list_operations(
         self,
         request: Optional[operations_pb2.ListOperationsRequest] = None,