Copybara import of the project:

-- 3e757d2 by Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com>: feat: add `gpu_partition_size` to `MachineSpec` PiperOrigin-RevId: 794199275 Source-Link: googleapis/googleapis@2282643 Source-Link: googleapis/googleapis-gen@590ada3 Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiNTkwYWRhMzNhZmFhYjllNWJhY2JlOTQ2YzIzNjZmOWI3ZDk0NzExNiJ9 feat: Add API for Gen AI Evaluation in Tuning PiperOrigin-RevId: 794142993 Source-Link: googleapis/googleapis@a6ec087 Source-Link: googleapis/googleapis-gen@e99c46f Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiZTk5YzQ2ZmY1YTA4MmVjNWYzNmMxNDZhOTg0ZDEwYzhmZDk3MDFkYiJ9 feat: expose RecommendSpecs api to vertex python SDK for Custom Weights Model deployment PiperOrigin-RevId: 793835739 Source-Link: googleapis/googleapis@79a8512 Source-Link: googleapis/googleapis-gen@77e2347 Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiNzdlMjM0NzhkYTQ5YTllNjdmNzcxZDFlMzU4OGRiYTkyMWU1N2ViYiJ9 feat: add option EndpointUserId and ModelUserId fields feat: migrate dedicated endpoint to be enabled by default docs: A comment for field `dedicated_endpoint_enabled` in message `.google.cloud.aiplatform.v1.DeployRequest` is changed PiperOrigin-RevId: 793795027 Source-Link: googleapis/googleapis@54236ee Source-Link: googleapis/googleapis-gen@51de9fe Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiNTFkZTlmZWU0M2U1ZjIwZmJjNDFiMTIxMWE2MjU3OTJjYWE1ZjUwMyJ9 feat: Added document_name for vertex ai search as part of retrieved context from grounding chunk PiperOrigin-RevId: 793753394 Source-Link: googleapis/googleapis@6d24fdd Source-Link: googleapis/googleapis-gen@e8c2681 Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiZThjMjY4MWRmNTdiMDAzOWQzNzc0MzdiNzgyNzhmMDc4ZTFiYmUyYiJ9 feat: Add support for CMEK, runtime controls, and PSC-I to Reasoning Engine protos docs: Add psc_interface_config, min/max_instances, resource_limits, container_concurrency to ReasoningEngineSpec docs: Add encryption_spec to ReasoningEngine PiperOrigin-RevId: 792745180 Source-Link: googleapis/googleapis@85f7aec Source-Link: googleapis/googleapis-gen@d68782f Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiZDY4NzgyZjY5YmQ0Mjg5MzdmOWJkYzM4Y2ZjMzI3ZTE0NTdhODViZiJ9 feat: add expiration for TTL for Memory and Sessions feat: add direct_memories_source docs: Update comment for allowed values for config models PiperOrigin-RevId: 792354273 Source-Link: googleapis/googleapis@c5334a8 Source-Link: googleapis/googleapis-gen@15cb757 Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiMTVjYjc1Nzg3NTQ3MjhiZmQ3MjY0ZDE5NGNkMDMzYTBhZWYyYTk2OCJ9 feat: add Grounding with Google Maps tool PiperOrigin-RevId: 792213276 Source-Link: googleapis/googleapis@e58f813 Source-Link: googleapis/googleapis-gen@70b047f Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiNzBiMDQ3ZmIyNWNjZTY1MDc3YmE0MmIxZjgxOTQyMDEzYzg1NzM2MSJ9 docs: A comment for field `monitored_resource_labels` in message `.google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec` is changed PiperOrigin-RevId: 791923596 Source-Link: googleapis/googleapis@b031657 Source-Link: googleapis/googleapis-gen@ec8abe6 Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiZWM4YWJlNjQ0OTljM2U1OWY3OTVjNzk2OTI0ZjA0ZjYzNmM3MTQxMCJ9 feat: add force_delete field to DeleteRagFile 'preview' API request for Vertex RAG PiperOrigin-RevId: 791872264 Source-Link: googleapis/googleapis@f26e82a Source-Link: googleapis/googleapis-gen@51342dc Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiNTEzNDJkYzhiMzk4NTEyYjIwODM3YmZlZTAwZThlY2YyMTNhODA0NiJ9 -- 143b417 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=#5685 from googleapis:owl-bot-copy b8d9246 PiperOrigin-RevId: 794683232

Author: gcf-owl-bot[bot]

google/cloud/aiplatform_v1/__init__.py

@@ -952,6 +952,7 @@
 from .types.tool import FunctionCallingConfig
 from .types.tool import FunctionDeclaration
 from .types.tool import FunctionResponse
+from .types.tool import GoogleMaps
 from .types.tool import GoogleSearchRetrieval
 from .types.tool import RagRetrievalConfig
 from .types.tool import Retrieval
@@ -1485,6 +1486,7 @@
  "GetTrialRequest",
  "GetTuningJobRequest",
  "GoogleDriveSource",
+ "GoogleMaps",
  "GoogleSearchRetrieval",
  "GroundednessInput",
  "GroundednessInstance",

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

@@ -48,6 +48,7 @@
 from google.api_core import operation as gac_operation # type: ignore
 from google.api_core import operation_async # type: ignore
 from google.cloud.aiplatform_v1.services.reasoning_engine_service import pagers
+from google.cloud.aiplatform_v1.types import encryption_spec
 from google.cloud.aiplatform_v1.types import operation as gca_operation
 from google.cloud.aiplatform_v1.types import reasoning_engine
 from google.cloud.aiplatform_v1.types import reasoning_engine as gca_reasoning_engine
@@ -85,6 +86,12 @@ class ReasoningEngineServiceAsyncClient:
  _DEFAULT_ENDPOINT_TEMPLATE = ReasoningEngineServiceClient._DEFAULT_ENDPOINT_TEMPLATE
  _DEFAULT_UNIVERSE = ReasoningEngineServiceClient._DEFAULT_UNIVERSE
 
+ network_attachment_path = staticmethod(
+ ReasoningEngineServiceClient.network_attachment_path
+ )
+ parse_network_attachment_path = staticmethod(
+ ReasoningEngineServiceClient.parse_network_attachment_path
+ )
  reasoning_engine_path = staticmethod(
  ReasoningEngineServiceClient.reasoning_engine_path
  )

google/cloud/aiplatform_v1/services/reasoning_engine_service/client.py

@@ -64,6 +64,7 @@
 from google.api_core import operation as gac_operation # type: ignore
 from google.api_core import operation_async # type: ignore
 from google.cloud.aiplatform_v1.services.reasoning_engine_service import pagers
+from google.cloud.aiplatform_v1.types import encryption_spec
 from google.cloud.aiplatform_v1.types import operation as gca_operation
 from google.cloud.aiplatform_v1.types import reasoning_engine
 from google.cloud.aiplatform_v1.types import reasoning_engine as gca_reasoning_engine
@@ -221,6 +222,28 @@ def transport(self) -> ReasoningEngineServiceTransport:
  """
  return self._transport
 
+ @staticmethod
+ def network_attachment_path(
+ project: str,
+ region: str,
+ networkattachment: str,
+ ) -> str:
+ """Returns a fully-qualified network_attachment string."""
+ return "projects/{project}/regions/{region}/networkAttachments/{networkattachment}".format(
+ project=project,
+ region=region,
+ networkattachment=networkattachment,
+ )
+
+ @staticmethod
+ def parse_network_attachment_path(path: str) -> Dict[str, str]:
+ """Parses a network_attachment path into its component segments."""
+ m = re.match(
+ r"^projects/(?P<project>.+?)/regions/(?P<region>.+?)/networkAttachments/(?P<networkattachment>.+?)$",
+ path,
+ )
+ return m.groupdict() if m else {}
+
  @staticmethod
  def reasoning_engine_path(
  project: str,

google/cloud/aiplatform_v1/types/__init__.py

@@ -1069,6 +1069,7 @@
  FunctionCallingConfig,
  FunctionDeclaration,
  FunctionResponse,
+ GoogleMaps,
  GoogleSearchRetrieval,
  RagRetrievalConfig,
  Retrieval,
@@ -2029,6 +2030,7 @@
  "FunctionCallingConfig",
  "FunctionDeclaration",
  "FunctionResponse",
+ "GoogleMaps",
  "GoogleSearchRetrieval",
  "RagRetrievalConfig",
  "Retrieval",

google/cloud/aiplatform_v1/types/content.py

@@ -199,13 +199,9 @@ class Part(proto.Message):
  thought (bool):
  Indicates if the part is thought from the
  model.
-
- This field is a member of `oneof`_ ``data``.
  thought_signature (bytes):
  An opaque signature for the thought so it can
  be reused in subsequent requests.
-
- This field is a member of `oneof`_ ``data``.
  video_metadata (google.cloud.aiplatform_v1.types.VideoMetadata):
  Optional. Video metadata. The metadata should only be
  specified while the video data is presented in inline_data
@@ -258,12 +254,10 @@ class Part(proto.Message):
  thought: bool = proto.Field(
  proto.BOOL,
  number=10,
- oneof="data",
  )
  thought_signature: bytes = proto.Field(
  proto.BYTES,
  number=11,
- oneof="data",
  )
  video_metadata: "VideoMetadata" = proto.Field(
  proto.MESSAGE,
@@ -1237,6 +1231,10 @@ class GroundingChunk(proto.Message):
  Grounding chunk from context retrieved by the
  retrieval tools.
 
+ This field is a member of `oneof`_ ``chunk_type``.
+ maps (google.cloud.aiplatform_v1.types.GroundingChunk.Maps):
+ Grounding chunk from Google Maps.
+
  This field is a member of `oneof`_ ``chunk_type``.
  """
 
@@ -1291,6 +1289,11 @@ class RetrievedContext(proto.Message):
  Text of the attribution.
 
  This field is a member of `oneof`_ ``_text``.
+ document_name (str):
+ Output only. The full document name for the
+ referenced Vertex AI Search document.
+
+ This field is a member of `oneof`_ ``_document_name``.
  """
 
  rag_chunk: vertex_rag_data.RagChunk = proto.Field(
@@ -1314,6 +1317,57 @@ class RetrievedContext(proto.Message):
  number=3,
  optional=True,
  )
+ document_name: str = proto.Field(
+ proto.STRING,
+ number=6,
+ optional=True,
+ )
+
+ class Maps(proto.Message):
+ r"""Chunk from Google Maps.
+
+ .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
+
+ Attributes:
+ uri (str):
+ URI reference of the chunk.
+
+ This field is a member of `oneof`_ ``_uri``.
+ title (str):
+ Title of the chunk.
+
+ This field is a member of `oneof`_ ``_title``.
+ text (str):
+ Text of the chunk.
+
+ This field is a member of `oneof`_ ``_text``.
+ place_id (str):
+ This Place's resource name, in ``places/{place_id}`` format.
+ Can be used to look up the Place.
+
+ This field is a member of `oneof`_ ``_place_id``.
+ """
+
+ uri: str = proto.Field(
+ proto.STRING,
+ number=1,
+ optional=True,
+ )
+ title: str = proto.Field(
+ proto.STRING,
+ number=2,
+ optional=True,
+ )
+ text: str = proto.Field(
+ proto.STRING,
+ number=3,
+ optional=True,
+ )
+ place_id: str = proto.Field(
+ proto.STRING,
+ number=4,
+ optional=True,
+ )
 
  web: Web = proto.Field(
  proto.MESSAGE,
@@ -1327,6 +1381,12 @@ class RetrievedContext(proto.Message):
  oneof="chunk_type",
  message=RetrievedContext,
  )
+ maps: Maps = proto.Field(
+ proto.MESSAGE,
+ number=3,
+ oneof="chunk_type",
+ message=Maps,
+ )
 
 
 class GroundingSupport(proto.Message):
@@ -1391,6 +1451,14 @@ class GroundingMetadata(proto.Message):
  Optional. Output only. Retrieval metadata.
 
  This field is a member of `oneof`_ ``_retrieval_metadata``.
+ google_maps_widget_context_token (str):
+ Optional. Output only. Resource name of the
+ Google Maps widget context token to be used with
+ the PlacesContextElement widget to render
+ contextual data. This is populated only for
+ Google Maps grounding.
+
+ This field is a member of `oneof`_ ``_google_maps_widget_context_token``.
  """
 
  web_search_queries: MutableSequence[str] = proto.RepeatedField(
@@ -1419,6 +1487,11 @@ class GroundingMetadata(proto.Message):
  optional=True,
  message="RetrievalMetadata",
  )
+ google_maps_widget_context_token: str = proto.Field(
+ proto.STRING,
+ number=8,
+ optional=True,
+ )
 
 
 class SearchEntryPoint(proto.Message):

google/cloud/aiplatform_v1/types/model_garden_service.py

@@ -171,6 +171,16 @@ class ModelConfig(proto.Message):
  Optional. The specification of the container
  that is to be used when deploying. If not set,
  the default container spec will be used.
+ model_user_id (str):
+ Optional. The ID to use for the uploaded Model, which will
+ become the final component of the model resource name. When
+ not provided, Vertex AI will generate a value for this ID.
+ When Model Registry model is provided, this field will be
+ ignored.
+
+ This value may be up to 63 characters, and valid characters
+ are ``[a-z0-9_-]``. The first character cannot be a number
+ or hyphen.
  """
 
  accept_eula: bool = proto.Field(
@@ -194,6 +204,10 @@ class ModelConfig(proto.Message):
  number=5,
  message=gca_model.ModelContainerSpec,
  )
+ model_user_id: str = proto.Field(
+ proto.STRING,
+ number=6,
+ )
 
  class EndpointConfig(proto.Message):
  r"""The endpoint config to use for the deployment.
@@ -204,14 +218,46 @@ class EndpointConfig(proto.Message):
  the endpoint. If not set, a default name will be
  used.
  dedicated_endpoint_enabled (bool):
- Optional. If true, the endpoint will be exposed through a
+ Optional. Deprecated. Use dedicated_endpoint_disabled
+ instead. If true, the endpoint will be exposed through a
  dedicated DNS [Endpoint.dedicated_endpoint_dns]. Your
  request to the dedicated DNS will be isolated from other
  users' traffic and will have better performance and
  reliability. Note: Once you enabled dedicated endpoint, you
  won't be able to send request to the shared DNS
  {region}-aiplatform.googleapis.com. The limitations will be
  removed soon.
+ dedicated_endpoint_disabled (bool):
+ Optional. By default, if dedicated endpoint is enabled, the
+ endpoint will be exposed through a dedicated DNS
+ [Endpoint.dedicated_endpoint_dns]. Your request to the
+ dedicated DNS will be isolated from other users' traffic and
+ will have better performance and reliability. Note: Once you
+ enabled dedicated endpoint, you won't be able to send
+ request to the shared DNS
+ {region}-aiplatform.googleapis.com. The limitations will be
+ removed soon.
+
+ If this field is set to true, the dedicated endpoint will be
+ disabled and the deployed model will be exposed through the
+ shared DNS {region}-aiplatform.googleapis.com.
+ endpoint_user_id (str):
+ Optional. Immutable. The ID to use for endpoint, which will
+ become the final component of the endpoint resource name. If
+ not provided, Vertex AI will generate a value for this ID.
+
+ If the first character is a letter, this value may be up to
+ 63 characters, and valid characters are ``[a-z0-9-]``. The
+ last character must be a letter or number.
+
+ If the first character is a number, this value may be up to
+ 9 characters, and valid characters are ``[0-9]`` with no
+ leading zeros.
+
+ When using HTTP/JSON, this field is populated based on a
+ query string argument, such as ``?endpoint_id=12345``. This
+ is the fallback for fields that are not included in either
+ the URI or the body.
  """
 
  endpoint_display_name: str = proto.Field(
@@ -222,6 +268,14 @@ class EndpointConfig(proto.Message):
  proto.BOOL,
  number=2,
  )
+ dedicated_endpoint_disabled: bool = proto.Field(
+ proto.BOOL,
+ number=4,
+ )
+ endpoint_user_id: str = proto.Field(
+ proto.STRING,
+ number=3,
+ )
 
  class DeployConfig(proto.Message):
  r"""The deploy config to use for the deployment.