@@ -1960,7 +1960,7 @@ libraries:
     tag_format: '{id}-v{version}'
   - id: google-cloud-geminidataanalytics
     version: 0.5.0
-    last_generated_commit: 3322511885371d2b2253f209ccc3aa60d4100cfd
+    last_generated_commit: cf0434f4bd20618db60ddd16a1e7db2c0dfb9158
     apis:
       - path: google/cloud/geminidataanalytics/v1beta
         service_config: geminidataanalytics_v1beta.yaml
 
@@ -35,6 +35,7 @@
     ChartOptions,
     Context,
     ConversationOptions,
+    DatasourceOptions,
     ExampleQuery,
     GlossaryTerm,
 )
@@ -75,6 +76,7 @@
     ChartQuery,
     ChartResult,
     ChatRequest,
+    ClientManagedResourceContext,
     ConversationReference,
     DataAgentContext,
     DataMessage,
@@ -119,6 +121,7 @@
     "ChartOptions",
     "Context",
     "ConversationOptions",
+    "DatasourceOptions",
     "ExampleQuery",
     "GlossaryTerm",
     "Conversation",
@@ -149,6 +152,7 @@
     "ChartQuery",
     "ChartResult",
     "ChatRequest",
+    "ClientManagedResourceContext",
     "ConversationReference",
     "DataAgentContext",
     "DataMessage",
 
@@ -31,6 +31,7 @@
     ChartOptions,
     Context,
     ConversationOptions,
+    DatasourceOptions,
     ExampleQuery,
     GlossaryTerm,
 )
@@ -66,6 +67,7 @@
     ChartQuery,
     ChartResult,
     ChatRequest,
+    ClientManagedResourceContext,
     ConversationReference,
     DataAgentContext,
     DataMessage,
@@ -117,6 +119,7 @@
     "ChartQuery",
     "ChartResult",
     "ChatRequest",
+    "ClientManagedResourceContext",
     "Context",
     "Conversation",
     "ConversationOptions",
@@ -135,6 +138,7 @@
     "DataQuery",
     "DataResult",
     "Datasource",
+    "DatasourceOptions",
     "DatasourceReferences",
     "DeleteConversationRequest",
     "DeleteDataAgentRequest",
 
@@ -18,6 +18,7 @@
     ChartOptions,
     Context,
     ConversationOptions,
+    DatasourceOptions,
     ExampleQuery,
     GlossaryTerm,
 )
@@ -53,6 +54,7 @@
     ChartQuery,
     ChartResult,
     ChatRequest,
+    ClientManagedResourceContext,
     ConversationReference,
     DataAgentContext,
     DataMessage,
@@ -93,6 +95,7 @@
     "ChartOptions",
     "Context",
     "ConversationOptions",
+    "DatasourceOptions",
     "ExampleQuery",
     "GlossaryTerm",
     "Conversation",
@@ -123,6 +126,7 @@
     "ChartQuery",
     "ChartResult",
     "ChatRequest",
+    "ClientManagedResourceContext",
     "ConversationReference",
     "DataAgentContext",
     "DataMessage",
 
@@ -17,9 +17,10 @@
 
 from typing import MutableMapping, MutableSequence
 
+from google.protobuf import wrappers_pb2  # type: ignore
 import proto  # type: ignore
 
-from google.cloud.geminidataanalytics_v1alpha.types import datasource
+from google.cloud.geminidataanalytics_v1alpha.types import datasource as gcg_datasource
 
 __protobuf__ = proto.module(
     package="google.cloud.geminidataanalytics.v1alpha",
@@ -28,6 +29,7 @@
         "ExampleQuery",
         "GlossaryTerm",
         "ConversationOptions",
+        "DatasourceOptions",
         "ChartOptions",
         "AnalysisOptions",
     },
@@ -163,10 +165,10 @@ class SchemaPaths(proto.Message):
         proto.STRING,
         number=1,
     )
-    datasource_references: datasource.DatasourceReferences = proto.Field(
+    datasource_references: gcg_datasource.DatasourceReferences = proto.Field(
         proto.MESSAGE,
         number=7,
-        message=datasource.DatasourceReferences,
+        message=gcg_datasource.DatasourceReferences,
     )
     options: "ConversationOptions" = proto.Field(
         proto.MESSAGE,
@@ -265,6 +267,8 @@ class ConversationOptions(proto.Message):
             Optional. Options for chart generation.
         analysis (google.cloud.geminidataanalytics_v1alpha.types.AnalysisOptions):
             Optional. Options for analysis.
+        datasource (google.cloud.geminidataanalytics_v1alpha.types.DatasourceOptions):
+            Optional. Options for datasources.
     """
 
     chart: "ChartOptions" = proto.Field(
@@ -277,6 +281,31 @@ class ConversationOptions(proto.Message):
         number=2,
         message="AnalysisOptions",
     )
+    datasource: "DatasourceOptions" = proto.Field(
+        proto.MESSAGE,
+        number=3,
+        message="DatasourceOptions",
+    )
+
+
+class DatasourceOptions(proto.Message):
+    r"""Options for datasources configurations.
+
+    Attributes:
+        big_query_max_billed_bytes (google.protobuf.wrappers_pb2.Int64Value):
+            Optional. This option applies to datasources
+            that require BigQuery queries only. Limits the
+            bytes billed for each BQ query job. Queries that
+            will have bytes billed beyond this limit will
+            fail (without incurring a charge). If
+            unspecified, no limit will be applied.
+    """
+
+    big_query_max_billed_bytes: wrappers_pb2.Int64Value = proto.Field(
+        proto.MESSAGE,
+        number=1,
+        message=wrappers_pb2.Int64Value,
+    )
 
 
 class ChartOptions(proto.Message):
 
@@ -36,6 +36,7 @@
         "ChatRequest",
         "DataAgentContext",
         "ConversationReference",
+        "ClientManagedResourceContext",
         "Message",
         "UserMessage",
         "SystemMessage",
@@ -184,6 +185,14 @@ class ChatRequest(proto.Message):
             this to chat with an Agent statelessly, without
             managed conversation persistence.
 
+            This field is a member of `oneof`_ ``context_provider``.
+        client_managed_resource_context (google.cloud.geminidataanalytics_v1alpha.types.ClientManagedResourceContext):
+            Optional. Context with client managed
+            resources. Some clients may not use GDA managed
+            resources including conversations and agents,
+            instead they create and manage their own
+            conversations and agents resources.
+
             This field is a member of `oneof`_ ``context_provider``.
         project (str):
             Optional. The Google Cloud project to be used
@@ -213,6 +222,12 @@ class ChatRequest(proto.Message):
         oneof="context_provider",
         message="DataAgentContext",
     )
+    client_managed_resource_context: "ClientManagedResourceContext" = proto.Field(
+        proto.MESSAGE,
+        number=105,
+        oneof="context_provider",
+        message="ClientManagedResourceContext",
+    )
     project: str = proto.Field(
         proto.STRING,
         number=1,
@@ -305,6 +320,39 @@ class ConversationReference(proto.Message):
     )
 
 
+class ClientManagedResourceContext(proto.Message):
+    r"""Context with client managed resources.
+    Some clients may not use GDA managed resources including
+    conversations and agents, instead they create and manage their
+    own conversations and agents resources.
+
+    Attributes:
+        inline_context (google.cloud.geminidataanalytics_v1alpha.types.Context):
+            Required. Context for the chat request. Use
+            this to chat without GDA API managed
+            conversation and agent persistence by passing
+            all context inline.
+        conversation_id (str):
+            Optional. The client managed conversation id.
+        agent_id (str):
+            Optional. The client managed agent id.
+    """
+
+    inline_context: context.Context = proto.Field(
+        proto.MESSAGE,
+        number=1,
+        message=context.Context,
+    )
+    conversation_id: str = proto.Field(
+        proto.STRING,
+        number=2,
+    )
+    agent_id: str = proto.Field(
+        proto.STRING,
+        number=3,
+    )
+
+
 class Message(proto.Message):
     r"""A message from an interaction between the user and the
     system.
@@ -502,10 +550,17 @@ class TextType(proto.Enum):
             THOUGHT (2):
                 The text is a thinking plan generated by the
                 thinking tool.
+            PROGRESS (3):
+                The text is an informational message about the agent's
+                progress, such as a tool being invoked. This is distinct
+                from the agent's internal thought process (``THOUGHT``) and
+                the final answer to the user (``FINAL_RESPONSE``). These
+                messages provide insight into the agent's actions.
         """
         TEXT_TYPE_UNSPECIFIED = 0
         FINAL_RESPONSE = 1
         THOUGHT = 2
+        PROGRESS = 3
 
     parts: MutableSequence[str] = proto.RepeatedField(
         proto.STRING,
@@ -1112,7 +1167,21 @@ class ChartResult(proto.Message):
 
 
 class ErrorMessage(proto.Message):
-    r"""An error message.
+    r"""An error message from a tool call. This message is used to represent
+    an error that occurred while an agent was trying to use a tool. It's
+    important to note that not all errors are terminal. Many are
+    recoverable, and the agent may use the information from this error
+    message to self-correct and retry the tool call or try a different
+    approach.
+
+    For example, if a data query fails, the agent might receive an
+    ``ErrorMessage``, analyze it, and then generate a corrected query.
+
+    Clients should be cautious about interpreting this message as a
+    definitive failure. It can be part of the agent's normal, iterative
+    process of completing a task. Surfacing these errors directly to
+    end-users without context (e.g., as a "hard failure") may be
+    misleading.
 
     Attributes:
         text (str):
 
@@ -17,6 +17,7 @@
 
 from typing import MutableMapping, MutableSequence
 
+from google.protobuf import struct_pb2  # type: ignore
 import proto  # type: ignore
 
 from google.cloud.geminidataanalytics_v1alpha.types import (
@@ -318,6 +319,14 @@ class Datasource(proto.Message):
             This field is a member of `oneof`_ ``reference``.
         schema (google.cloud.geminidataanalytics_v1alpha.types.Schema):
             Optional. The schema of the datasource.
+        struct_schema (google.protobuf.struct_pb2.Struct):
+            Optional. A struct representation of the schema. This is
+            populated for datasources with schemas that cannot be fully
+            represented by the strongly-typed ``schema`` field.
+
+            For Looker datasources, this maps to the LookmlModelExplore
+            type:
+            https://cloud.google.com/looker/docs/reference/looker-api/latest/types/LookmlModelExplore
     """
 
     bigquery_table_reference: "BigQueryTableReference" = proto.Field(
@@ -342,6 +351,11 @@ class Datasource(proto.Message):
         number=7,
         message="Schema",
     )
+    struct_schema: struct_pb2.Struct = proto.Field(
+        proto.MESSAGE,
+        number=10,
+        message=struct_pb2.Struct,
+    )
 
 
 class Schema(proto.Message):
 
@@ -31,11 +31,14 @@
     ChartOptions,
     Context,
     ConversationOptions,
+    DatasourceOptions,
     ExampleQuery,
+    GlossaryTerm,
 )
 from .types.conversation import (
     Conversation,
     CreateConversationRequest,
+    DeleteConversationRequest,
     GetConversationRequest,
     ListConversationsRequest,
     ListConversationsResponse,
@@ -64,12 +67,14 @@
     ChartQuery,
     ChartResult,
     ChatRequest,
+    ClientManagedResourceContext,
     ConversationReference,
     DataAgentContext,
     DataMessage,
     DataQuery,
     DataResult,
     ErrorMessage,
+    ExampleQueries,
     ListMessagesRequest,
     ListMessagesResponse,
     LookerQuery,
@@ -114,6 +119,7 @@
     "ChartQuery",
     "ChartResult",
     "ChatRequest",
+    "ClientManagedResourceContext",
     "Context",
     "Conversation",
     "ConversationOptions",
@@ -132,13 +138,17 @@
     "DataQuery",
     "DataResult",
     "Datasource",
+    "DatasourceOptions",
     "DatasourceReferences",
+    "DeleteConversationRequest",
     "DeleteDataAgentRequest",
     "ErrorMessage",
+    "ExampleQueries",
     "ExampleQuery",
     "Field",
     "GetConversationRequest",
     "GetDataAgentRequest",
+    "GlossaryTerm",
     "ListAccessibleDataAgentsRequest",
     "ListAccessibleDataAgentsResponse",
     "ListConversationsRequest",