🦉 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_v1/types/content.py

@@ -1977,6 +1977,11 @@ class GroundingMetadata(proto.Message):
             following-up web searches.
 
             This field is a member of `oneof`_ ``_search_entry_point``.
+        retrieval_queries (MutableSequence[str]):
+            Optional. The queries that were executed by
+            the retrieval tools. This field is populated
+            only when the grounding source is a retrieval
+            tool, such as Vertex AI Search.
         grounding_chunks (MutableSequence[google.cloud.aiplatform_v1.types.GroundingChunk]):
             List of supporting references retrieved from
             specified grounding source.
@@ -2035,6 +2040,10 @@ class SourceFlaggingUri(proto.Message):
         optional=True,
         message="SearchEntryPoint",
     )
+    retrieval_queries: MutableSequence[str] = proto.RepeatedField(
+        proto.STRING,
+        number=3,
+    )
     grounding_chunks: MutableSequence["GroundingChunk"] = proto.RepeatedField(
         proto.MESSAGE,
         number=5,

google/cloud/aiplatform_v1/types/reasoning_engine.py

@@ -85,8 +85,35 @@ class ReasoningEngineSpec(proto.Message):
             develop the agent. Currently supported values:
             "google-adk", "langchain", "langgraph", "ag2",
             "llama-index", "custom".
+        identity_type (google.cloud.aiplatform_v1.types.ReasoningEngineSpec.IdentityType):
+            Optional. The identity type to use for the Reasoning Engine.
+            If not specified, the ``service_account`` field will be used
+            if set, otherwise the default Vertex AI Reasoning Engine
+            Service Agent in the project will be used.
     """
 
+    class IdentityType(proto.Enum):
+        r"""The identity type to use for the Reasoning Engine.
+
+        Values:
+            IDENTITY_TYPE_UNSPECIFIED (0):
+                Default value. Use a custom service account if the
+                ``service_account`` field is set, otherwise use the default
+                Vertex AI Reasoning Engine Service Agent in the project.
+                Same behavior as SERVICE_ACCOUNT.
+            SERVICE_ACCOUNT (2):
+                Use a custom service account if the ``service_account``
+                field is set, otherwise use the default Vertex AI Reasoning
+                Engine Service Agent in the project.
+            AGENT_IDENTITY (3):
+                Use Agent Identity. The ``service_account`` field must not
+                be set.
+        """
+
+        IDENTITY_TYPE_UNSPECIFIED = 0
+        SERVICE_ACCOUNT = 2
+        AGENT_IDENTITY = 3
+
     class PackageSpec(proto.Message):
         r"""User-provided package specification, containing pickled
         object and package requirements.
@@ -453,6 +480,11 @@ class ContainerSpec(proto.Message):
         proto.STRING,
         number=5,
     )
+    identity_type: IdentityType = proto.Field(
+        proto.ENUM,
+        number=12,
+        enum=IdentityType,
+    )
 
 
 class ReasoningEngine(proto.Message):

google/cloud/aiplatform_v1beta1/types/reasoning_engine.py

@@ -87,8 +87,35 @@ class ReasoningEngineSpec(proto.Message):
             develop the agent. Currently supported values:
             "google-adk", "langchain", "langgraph", "ag2",
             "llama-index", "custom".
+        identity_type (google.cloud.aiplatform_v1beta1.types.ReasoningEngineSpec.IdentityType):
+            Optional. The identity type to use for the Reasoning Engine.
+            If not specified, the ``service_account`` field will be used
+            if set, otherwise the default Vertex AI Reasoning Engine
+            Service Agent in the project will be used.
     """
 
+    class IdentityType(proto.Enum):
+        r"""The identity type to use for the Reasoning Engine.
+
+        Values:
+            IDENTITY_TYPE_UNSPECIFIED (0):
+                Default value. Use a custom service account if the
+                ``service_account`` field is set, otherwise use the default
+                Vertex AI Reasoning Engine Service Agent in the project.
+                Same behavior as SERVICE_ACCOUNT.
+            SERVICE_ACCOUNT (2):
+                Use a custom service account if the ``service_account``
+                field is set, otherwise use the default Vertex AI Reasoning
+                Engine Service Agent in the project.
+            AGENT_IDENTITY (3):
+                Use Agent Identity. The ``service_account`` field must not
+                be set.
+        """
+
+        IDENTITY_TYPE_UNSPECIFIED = 0
+        SERVICE_ACCOUNT = 2
+        AGENT_IDENTITY = 3
+
     class PackageSpec(proto.Message):
         r"""User-provided package specification, containing pickled
         object and package requirements.
@@ -455,6 +482,11 @@ class ContainerSpec(proto.Message):
         proto.STRING,
         number=5,
     )
+    identity_type: IdentityType = proto.Field(
+        proto.ENUM,
+        number=12,
+        enum=IdentityType,
+    )
 
 
 class ReasoningEngine(proto.Message):