diff --git a/google/genai/caches.py b/google/genai/caches.py
index 22516aa5..aa9542fb 100644
--- a/google/genai/caches.py
+++ b/google/genai/caches.py
@@ -39,9 +39,6 @@ def _Part_to_mldev(
   if getv(from_object, ['video_metadata']) is not None:
     raise ValueError('video_metadata parameter is not supported in Gemini API.')
 
-  if getv(from_object, ['thought']) is not None:
-    setv(to_object, ['thought'], getv(from_object, ['thought']))
-
   if getv(from_object, ['code_execution_result']) is not None:
     setv(
         to_object,
@@ -71,6 +68,9 @@ def _Part_to_mldev(
   if getv(from_object, ['text']) is not None:
     setv(to_object, ['text'], getv(from_object, ['text']))
 
+  if getv(from_object, ['thought']) is not None:
+    setv(to_object, ['thought'], getv(from_object, ['thought']))
+
   return to_object
 
 
@@ -261,9 +261,6 @@ def _Tool_to_mldev(
         ],
     )
 
-  if getv(from_object, ['retrieval']) is not None:
-    raise ValueError('retrieval parameter is not supported in Gemini API.')
-
   if getv(from_object, ['google_search']) is not None:
     setv(
         to_object,
@@ -273,6 +270,9 @@ def _Tool_to_mldev(
         ),
     )
 
+  if getv(from_object, ['retrieval']) is not None:
+    raise ValueError('retrieval parameter is not supported in Gemini API.')
+
   if getv(from_object, ['google_search_retrieval']) is not None:
     setv(
         to_object,
@@ -287,6 +287,13 @@ def _Tool_to_mldev(
   if getv(from_object, ['code_execution']) is not None:
     setv(to_object, ['codeExecution'], getv(from_object, ['code_execution']))
 
+  if getv(from_object, ['enterprise_web_search']) is not None:
+    setv(
+        to_object,
+        ['enterpriseWebSearch'],
+        getv(from_object, ['enterprise_web_search']),
+    )
+
   return to_object
 
 
@@ -326,6 +333,11 @@ def _ToolConfig_to_mldev(
         ),
     )
 
+  if getv(from_object, ['retrieval_config']) is not None:
+    setv(
+        to_object, ['retrievalConfig'], getv(from_object, ['retrieval_config'])
+    )
+
   return to_object
 
 
@@ -543,9 +555,6 @@ def _Part_to_vertex(
   if getv(from_object, ['video_metadata']) is not None:
     setv(to_object, ['videoMetadata'], getv(from_object, ['video_metadata']))
 
-  if getv(from_object, ['thought']) is not None:
-    setv(to_object, ['thought'], getv(from_object, ['thought']))
-
   if getv(from_object, ['code_execution_result']) is not None:
     setv(
         to_object,
@@ -575,6 +584,9 @@ def _Part_to_vertex(
   if getv(from_object, ['text']) is not None:
     setv(to_object, ['text'], getv(from_object, ['text']))
 
+  if getv(from_object, ['thought']) is not None:
+    setv(to_object, ['thought'], getv(from_object, ['thought']))
+
   return to_object
 
 
@@ -771,9 +783,6 @@ def _Tool_to_vertex(
         ],
     )
 
-  if getv(from_object, ['retrieval']) is not None:
-    setv(to_object, ['retrieval'], getv(from_object, ['retrieval']))
-
   if getv(from_object, ['google_search']) is not None:
     setv(
         to_object,
@@ -783,6 +792,9 @@ def _Tool_to_vertex(
         ),
     )
 
+  if getv(from_object, ['retrieval']) is not None:
+    setv(to_object, ['retrieval'], getv(from_object, ['retrieval']))
+
   if getv(from_object, ['google_search_retrieval']) is not None:
     setv(
         to_object,
@@ -797,6 +809,13 @@ def _Tool_to_vertex(
   if getv(from_object, ['code_execution']) is not None:
     setv(to_object, ['codeExecution'], getv(from_object, ['code_execution']))
 
+  if getv(from_object, ['enterprise_web_search']) is not None:
+    setv(
+        to_object,
+        ['enterpriseWebSearch'],
+        getv(from_object, ['enterprise_web_search']),
+    )
+
   return to_object
 
 
@@ -836,6 +855,11 @@ def _ToolConfig_to_vertex(
         ),
     )
 
+  if getv(from_object, ['retrieval_config']) is not None:
+    setv(
+        to_object, ['retrievalConfig'], getv(from_object, ['retrieval_config'])
+    )
+
   return to_object
 
 
diff --git a/google/genai/models.py b/google/genai/models.py
index fbb34604..bfd4344c 100644
--- a/google/genai/models.py
+++ b/google/genai/models.py
@@ -40,9 +40,6 @@ def _Part_to_mldev(
   if getv(from_object, ['video_metadata']) is not None:
     raise ValueError('video_metadata parameter is not supported in Gemini API.')
 
-  if getv(from_object, ['thought']) is not None:
-    setv(to_object, ['thought'], getv(from_object, ['thought']))
-
   if getv(from_object, ['code_execution_result']) is not None:
     setv(
         to_object,
@@ -72,6 +69,9 @@ def _Part_to_mldev(
   if getv(from_object, ['text']) is not None:
     setv(to_object, ['text'], getv(from_object, ['text']))
 
+  if getv(from_object, ['thought']) is not None:
+    setv(to_object, ['thought'], getv(from_object, ['thought']))
+
   return to_object
 
 
@@ -280,9 +280,6 @@ def _Tool_to_mldev(
         ],
     )
 
-  if getv(from_object, ['retrieval']) is not None:
-    raise ValueError('retrieval parameter is not supported in Gemini API.')
-
   if getv(from_object, ['google_search']) is not None:
     setv(
         to_object,
@@ -292,6 +289,9 @@ def _Tool_to_mldev(
         ),
     )
 
+  if getv(from_object, ['retrieval']) is not None:
+    raise ValueError('retrieval parameter is not supported in Gemini API.')
+
   if getv(from_object, ['google_search_retrieval']) is not None:
     setv(
         to_object,
@@ -306,6 +306,13 @@ def _Tool_to_mldev(
   if getv(from_object, ['code_execution']) is not None:
     setv(to_object, ['codeExecution'], getv(from_object, ['code_execution']))
 
+  if getv(from_object, ['enterprise_web_search']) is not None:
+    setv(
+        to_object,
+        ['enterpriseWebSearch'],
+        getv(from_object, ['enterprise_web_search']),
+    )
+
   return to_object
 
 
@@ -345,34 +352,9 @@ def _ToolConfig_to_mldev(
         ),
     )
 
-  return to_object
-
-
-def _PrebuiltVoiceConfig_to_mldev(
-    api_client: BaseApiClient,
-    from_object: Union[dict, object],
-    parent_object: Optional[dict] = None,
-) -> dict:
-  to_object: dict[str, Any] = {}
-  if getv(from_object, ['voice_name']) is not None:
-    setv(to_object, ['voiceName'], getv(from_object, ['voice_name']))
-
-  return to_object
-
-
-def _VoiceConfig_to_mldev(
-    api_client: BaseApiClient,
-    from_object: Union[dict, object],
-    parent_object: Optional[dict] = None,
-) -> dict:
-  to_object: dict[str, Any] = {}
-  if getv(from_object, ['prebuilt_voice_config']) is not None:
+  if getv(from_object, ['retrieval_config']) is not None:
     setv(
-        to_object,
-        ['prebuiltVoiceConfig'],
-        _PrebuiltVoiceConfig_to_mldev(
-            api_client, getv(from_object, ['prebuilt_voice_config']), to_object
-        ),
+        to_object, ['retrievalConfig'], getv(from_object, ['retrieval_config'])
     )
 
   return to_object
@@ -384,18 +366,12 @@ def _SpeechConfig_to_mldev(
     parent_object: Optional[dict] = None,
 ) -> dict:
   to_object: dict[str, Any] = {}
-  if getv(from_object, ['voice_config']) is not None:
-    setv(
-        to_object,
-        ['voiceConfig'],
-        _VoiceConfig_to_mldev(
-            api_client, getv(from_object, ['voice_config']), to_object
-        ),
-    )
-
   if getv(from_object, ['language_code']) is not None:
     setv(to_object, ['languageCode'], getv(from_object, ['language_code']))
 
+  if getv(from_object, ['voice_config']) is not None:
+    setv(to_object, ['voiceConfig'], getv(from_object, ['voice_config']))
+
   return to_object
 
 
@@ -1137,9 +1113,6 @@ def _Part_to_vertex(
   if getv(from_object, ['video_metadata']) is not None:
     setv(to_object, ['videoMetadata'], getv(from_object, ['video_metadata']))
 
-  if getv(from_object, ['thought']) is not None:
-    setv(to_object, ['thought'], getv(from_object, ['thought']))
-
   if getv(from_object, ['code_execution_result']) is not None:
     setv(
         to_object,
@@ -1169,6 +1142,9 @@ def _Part_to_vertex(
   if getv(from_object, ['text']) is not None:
     setv(to_object, ['text'], getv(from_object, ['text']))
 
+  if getv(from_object, ['thought']) is not None:
+    setv(to_object, ['thought'], getv(from_object, ['thought']))
+
   return to_object
 
 
@@ -1383,9 +1359,6 @@ def _Tool_to_vertex(
         ],
     )
 
-  if getv(from_object, ['retrieval']) is not None:
-    setv(to_object, ['retrieval'], getv(from_object, ['retrieval']))
-
   if getv(from_object, ['google_search']) is not None:
     setv(
         to_object,
@@ -1395,6 +1368,9 @@ def _Tool_to_vertex(
         ),
     )
 
+  if getv(from_object, ['retrieval']) is not None:
+    setv(to_object, ['retrieval'], getv(from_object, ['retrieval']))
+
   if getv(from_object, ['google_search_retrieval']) is not None:
     setv(
         to_object,
@@ -1409,6 +1385,13 @@ def _Tool_to_vertex(
   if getv(from_object, ['code_execution']) is not None:
     setv(to_object, ['codeExecution'], getv(from_object, ['code_execution']))
 
+  if getv(from_object, ['enterprise_web_search']) is not None:
+    setv(
+        to_object,
+        ['enterpriseWebSearch'],
+        getv(from_object, ['enterprise_web_search']),
+    )
+
   return to_object
 
 
@@ -1448,34 +1431,9 @@ def _ToolConfig_to_vertex(
         ),
     )
 
-  return to_object
-
-
-def _PrebuiltVoiceConfig_to_vertex(
-    api_client: BaseApiClient,
-    from_object: Union[dict, object],
-    parent_object: Optional[dict] = None,
-) -> dict:
-  to_object: dict[str, Any] = {}
-  if getv(from_object, ['voice_name']) is not None:
-    setv(to_object, ['voiceName'], getv(from_object, ['voice_name']))
-
-  return to_object
-
-
-def _VoiceConfig_to_vertex(
-    api_client: BaseApiClient,
-    from_object: Union[dict, object],
-    parent_object: Optional[dict] = None,
-) -> dict:
-  to_object: dict[str, Any] = {}
-  if getv(from_object, ['prebuilt_voice_config']) is not None:
+  if getv(from_object, ['retrieval_config']) is not None:
     setv(
-        to_object,
-        ['prebuiltVoiceConfig'],
-        _PrebuiltVoiceConfig_to_vertex(
-            api_client, getv(from_object, ['prebuilt_voice_config']), to_object
-        ),
+        to_object, ['retrievalConfig'], getv(from_object, ['retrieval_config'])
     )
 
   return to_object
@@ -1487,18 +1445,12 @@ def _SpeechConfig_to_vertex(
     parent_object: Optional[dict] = None,
 ) -> dict:
   to_object: dict[str, Any] = {}
-  if getv(from_object, ['voice_config']) is not None:
-    setv(
-        to_object,
-        ['voiceConfig'],
-        _VoiceConfig_to_vertex(
-            api_client, getv(from_object, ['voice_config']), to_object
-        ),
-    )
-
   if getv(from_object, ['language_code']) is not None:
     setv(to_object, ['languageCode'], getv(from_object, ['language_code']))
 
+  if getv(from_object, ['voice_config']) is not None:
+    setv(to_object, ['voiceConfig'], getv(from_object, ['voice_config']))
+
   return to_object
 
 
@@ -2682,9 +2634,6 @@ def _Part_from_mldev(
 ) -> dict:
   to_object: dict[str, Any] = {}
 
-  if getv(from_object, ['thought']) is not None:
-    setv(to_object, ['thought'], getv(from_object, ['thought']))
-
   if getv(from_object, ['codeExecutionResult']) is not None:
     setv(
         to_object,
@@ -2714,6 +2663,9 @@ def _Part_from_mldev(
   if getv(from_object, ['text']) is not None:
     setv(to_object, ['text'], getv(from_object, ['text']))
 
+  if getv(from_object, ['thought']) is not None:
+    setv(to_object, ['thought'], getv(from_object, ['thought']))
+
   return to_object
 
 
@@ -3250,9 +3202,6 @@ def _Part_from_vertex(
   if getv(from_object, ['videoMetadata']) is not None:
     setv(to_object, ['video_metadata'], getv(from_object, ['videoMetadata']))
 
-  if getv(from_object, ['thought']) is not None:
-    setv(to_object, ['thought'], getv(from_object, ['thought']))
-
   if getv(from_object, ['codeExecutionResult']) is not None:
     setv(
         to_object,
@@ -3282,6 +3231,9 @@ def _Part_from_vertex(
   if getv(from_object, ['text']) is not None:
     setv(to_object, ['text'], getv(from_object, ['text']))
 
+  if getv(from_object, ['thought']) is not None:
+    setv(to_object, ['thought'], getv(from_object, ['thought']))
+
   return to_object
 
 
diff --git a/google/genai/tunings.py b/google/genai/tunings.py
index 9dcf43e8..8033e654 100644
--- a/google/genai/tunings.py
+++ b/google/genai/tunings.py
@@ -495,6 +495,9 @@ def _TuningJob_from_mldev(
   if getv(from_object, ['pipelineJob']) is not None:
     setv(to_object, ['pipeline_job'], getv(from_object, ['pipelineJob']))
 
+  if getv(from_object, ['serviceAccount']) is not None:
+    setv(to_object, ['service_account'], getv(from_object, ['serviceAccount']))
+
   if getv(from_object, ['tunedModelDisplayName']) is not None:
     setv(
         to_object,
@@ -647,6 +650,9 @@ def _TuningJob_from_vertex(
   if getv(from_object, ['pipelineJob']) is not None:
     setv(to_object, ['pipeline_job'], getv(from_object, ['pipelineJob']))
 
+  if getv(from_object, ['serviceAccount']) is not None:
+    setv(to_object, ['service_account'], getv(from_object, ['serviceAccount']))
+
   if getv(from_object, ['tunedModelDisplayName']) is not None:
     setv(
         to_object,
diff --git a/google/genai/types.py b/google/genai/types.py
index 1ec871e1..b2eb1588 100644
--- a/google/genai/types.py
+++ b/google/genai/types.py
@@ -471,6 +471,10 @@ class ExecutableCodeDict(TypedDict, total=False):
 class FileData(_common.BaseModel):
   """URI based data."""
 
+  display_name: Optional[str] = Field(
+      default=None,
+      description="""Optional. Display name of the file data. Used to provide a label or filename to distinguish file datas. This field is only returned in PromptMessage for prompt management. It is not currently used in the Gemini GenerateContent calls.""",
+  )
   file_uri: Optional[str] = Field(
       default=None, description="""Required. URI."""
   )
@@ -483,6 +487,9 @@ class FileData(_common.BaseModel):
 class FileDataDict(TypedDict, total=False):
   """URI based data."""
 
+  display_name: Optional[str]
+  """Optional. Display name of the file data. Used to provide a label or filename to distinguish file datas. This field is only returned in PromptMessage for prompt management. It is not currently used in the Gemini GenerateContent calls."""
+
   file_uri: Optional[str]
   """Required. URI."""
 
@@ -496,15 +503,14 @@ class FileDataDict(TypedDict, total=False):
 class FunctionCall(_common.BaseModel):
   """A function call."""
 
-  id: Optional[str] = Field(
-      default=None,
-      description="""The unique id of the function call. If populated, the client to execute the
-   `function_call` and return the response with the matching `id`.""",
-  )
   args: Optional[dict[str, Any]] = Field(
       default=None,
       description="""Optional. Required. The function parameters and values in JSON object format. See [FunctionDeclaration.parameters] for parameter details.""",
   )
+  id: Optional[str] = Field(
+      default=None,
+      description="""Optional. The unique id of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`.""",
+  )
   name: Optional[str] = Field(
       default=None,
       description="""Required. The name of the function to call. Matches [FunctionDeclaration.name].""",
@@ -514,13 +520,12 @@ class FunctionCall(_common.BaseModel):
 class FunctionCallDict(TypedDict, total=False):
   """A function call."""
 
-  id: Optional[str]
-  """The unique id of the function call. If populated, the client to execute the
-   `function_call` and return the response with the matching `id`."""
-
   args: Optional[dict[str, Any]]
   """Optional. Required. The function parameters and values in JSON object format. See [FunctionDeclaration.parameters] for parameter details."""
 
+  id: Optional[str]
+  """Optional. The unique id of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`."""
+
   name: Optional[str]
   """Required. The name of the function to call. Matches [FunctionDeclaration.name]."""
 
@@ -533,8 +538,7 @@ class FunctionResponse(_common.BaseModel):
 
   id: Optional[str] = Field(
       default=None,
-      description="""The id of the function call this response is for. Populated by the client
-   to match the corresponding function call `id`.""",
+      description="""Optional. The id of the function call this response is for. Populated by the client to match the corresponding function call `id`.""",
   )
   name: Optional[str] = Field(
       default=None,
@@ -550,8 +554,7 @@ class FunctionResponseDict(TypedDict, total=False):
   """A function response."""
 
   id: Optional[str]
-  """The id of the function call this response is for. Populated by the client
-   to match the corresponding function call `id`."""
+  """Optional. The id of the function call this response is for. Populated by the client to match the corresponding function call `id`."""
 
   name: Optional[str]
   """Required. The name of the function to call. Matches [FunctionDeclaration.name] and [FunctionCall.name]."""
@@ -569,6 +572,10 @@ class Blob(_common.BaseModel):
   data: Optional[bytes] = Field(
       default=None, description="""Required. Raw bytes."""
   )
+  display_name: Optional[str] = Field(
+      default=None,
+      description="""Optional. Display name of the blob. Used to provide a label or filename to distinguish blobs. This field is only returned in PromptMessage for prompt management. It is not currently used in the Gemini GenerateContent calls.""",
+  )
   mime_type: Optional[str] = Field(
       default=None,
       description="""Required. The IANA standard MIME type of the source data.""",
@@ -581,6 +588,9 @@ class BlobDict(TypedDict, total=False):
   data: Optional[bytes]
   """Required. Raw bytes."""
 
+  display_name: Optional[str]
+  """Optional. Display name of the blob. Used to provide a label or filename to distinguish blobs. This field is only returned in PromptMessage for prompt management. It is not currently used in the Gemini GenerateContent calls."""
+
   mime_type: Optional[str]
   """Required. The IANA standard MIME type of the source data."""
 
@@ -599,10 +609,6 @@ class Part(_common.BaseModel):
   video_metadata: Optional[VideoMetadata] = Field(
       default=None, description="""Metadata for a given video."""
   )
-  thought: Optional[bool] = Field(
-      default=None,
-      description="""Indicates if the part is thought from the model.""",
-  )
   code_execution_result: Optional[CodeExecutionResult] = Field(
       default=None,
       description="""Optional. Result of executing the [ExecutableCode].""",
@@ -628,6 +634,10 @@ class Part(_common.BaseModel):
   text: Optional[str] = Field(
       default=None, description="""Optional. Text part (can be code)."""
   )
+  thought: Optional[bool] = Field(
+      default=None,
+      description="""Output only. Indicates if the part is thought from the model.""",
+  )
 
   @classmethod
   def from_uri(cls, *, file_uri: str, mime_type: str) -> 'Part':
@@ -682,9 +692,6 @@ class PartDict(TypedDict, total=False):
   video_metadata: Optional[VideoMetadataDict]
   """Metadata for a given video."""
 
-  thought: Optional[bool]
-  """Indicates if the part is thought from the model."""
-
   code_execution_result: Optional[CodeExecutionResultDict]
   """Optional. Result of executing the [ExecutableCode]."""
 
@@ -706,6 +713,9 @@ class PartDict(TypedDict, total=False):
   text: Optional[str]
   """Optional. Text part (can be code)."""
 
+  thought: Optional[bool]
+  """Output only. Indicates if the part is thought from the model."""
+
 
 PartOrDict = Union[Part, PartDict]
 
@@ -1783,6 +1793,21 @@ class ToolCodeExecutionDict(TypedDict, total=False):
 ToolCodeExecutionOrDict = Union[ToolCodeExecution, ToolCodeExecutionDict]
 
 
+class EnterpriseWebSearch(_common.BaseModel):
+  """Tool to search public web data, powered by Vertex AI Search and Sec4 compliance."""
+
+  pass
+
+
+class EnterpriseWebSearchDict(TypedDict, total=False):
+  """Tool to search public web data, powered by Vertex AI Search and Sec4 compliance."""
+
+  pass
+
+
+EnterpriseWebSearchOrDict = Union[EnterpriseWebSearch, EnterpriseWebSearchDict]
+
+
 class Tool(_common.BaseModel):
   """Tool details of a tool that the model may use to generate a response."""
 
@@ -1790,22 +1815,26 @@ class Tool(_common.BaseModel):
       default=None,
       description="""List of function declarations that the tool supports.""",
   )
-  retrieval: Optional[Retrieval] = Field(
-      default=None,
-      description="""Optional. Retrieval tool type. System will always execute the provided retrieval tool(s) to get external knowledge to answer the prompt. Retrieval results are presented to the model for generation.""",
-  )
   google_search: Optional[GoogleSearch] = Field(
       default=None,
       description="""Optional. Google Search tool type. Specialized retrieval tool
       that is powered by Google Search.""",
   )
+  retrieval: Optional[Retrieval] = Field(
+      default=None,
+      description="""Optional. Retrieval tool type. System will always execute the provided retrieval tool(s) to get external knowledge to answer the prompt. Retrieval results are presented to the model for generation.""",
+  )
   google_search_retrieval: Optional[GoogleSearchRetrieval] = Field(
       default=None,
       description="""Optional. GoogleSearchRetrieval tool type. Specialized retrieval tool that is powered by Google search.""",
   )
   code_execution: Optional[ToolCodeExecution] = Field(
       default=None,
-      description="""Optional. CodeExecution tool type. Enables the model to execute code as part of generation. This field is only used by the Gemini Developer API services.""",
+      description="""Optional. CodeExecution tool type. Enables the model to execute code as part of generation.""",
+  )
+  enterprise_web_search: Optional[EnterpriseWebSearch] = Field(
+      default=None,
+      description="""Optional. Tool to support searching public web data, powered by Vertex AI Search and Sec4 compliance.""",
   )
 
 
@@ -1815,18 +1844,21 @@ class ToolDict(TypedDict, total=False):
   function_declarations: Optional[list[FunctionDeclarationDict]]
   """List of function declarations that the tool supports."""
 
-  retrieval: Optional[RetrievalDict]
-  """Optional. Retrieval tool type. System will always execute the provided retrieval tool(s) to get external knowledge to answer the prompt. Retrieval results are presented to the model for generation."""
-
   google_search: Optional[GoogleSearchDict]
   """Optional. Google Search tool type. Specialized retrieval tool
       that is powered by Google Search."""
 
+  retrieval: Optional[RetrievalDict]
+  """Optional. Retrieval tool type. System will always execute the provided retrieval tool(s) to get external knowledge to answer the prompt. Retrieval results are presented to the model for generation."""
+
   google_search_retrieval: Optional[GoogleSearchRetrievalDict]
   """Optional. GoogleSearchRetrieval tool type. Specialized retrieval tool that is powered by Google search."""
 
   code_execution: Optional[ToolCodeExecutionDict]
-  """Optional. CodeExecution tool type. Enables the model to execute code as part of generation. This field is only used by the Gemini Developer API services."""
+  """Optional. CodeExecution tool type. Enables the model to execute code as part of generation."""
+
+  enterprise_web_search: Optional[EnterpriseWebSearchDict]
+  """Optional. Tool to support searching public web data, powered by Vertex AI Search and Sec4 compliance."""
 
 
 ToolOrDict = Union[Tool, ToolDict]
@@ -1866,6 +1898,66 @@ class FunctionCallingConfigDict(TypedDict, total=False):
 ]
 
 
+class GoogleTypeLatLng(_common.BaseModel):
+  """An object that represents a latitude/longitude pair.
+
+  This is expressed as a pair of doubles to represent degrees latitude and
+  degrees longitude. Unless specified otherwise, this object must conform to the
+  WGS84 standard. Values must be within normalized ranges.
+  """
+
+  latitude: Optional[float] = Field(
+      default=None,
+      description="""The latitude in degrees. It must be in the range [-90.0, +90.0].""",
+  )
+  longitude: Optional[float] = Field(
+      default=None,
+      description="""The longitude in degrees. It must be in the range [-180.0, +180.0].""",
+  )
+
+
+class GoogleTypeLatLngDict(TypedDict, total=False):
+  """An object that represents a latitude/longitude pair.
+
+  This is expressed as a pair of doubles to represent degrees latitude and
+  degrees longitude. Unless specified otherwise, this object must conform to the
+  WGS84 standard. Values must be within normalized ranges.
+  """
+
+  latitude: Optional[float]
+  """The latitude in degrees. It must be in the range [-90.0, +90.0]."""
+
+  longitude: Optional[float]
+  """The longitude in degrees. It must be in the range [-180.0, +180.0]."""
+
+
+GoogleTypeLatLngOrDict = Union[GoogleTypeLatLng, GoogleTypeLatLngDict]
+
+
+class RetrievalConfig(_common.BaseModel):
+  """Retrieval config."""
+
+  language_code: Optional[str] = Field(
+      default=None, description="""The language code of the user."""
+  )
+  lat_lng: Optional[GoogleTypeLatLng] = Field(
+      default=None, description="""The location of the user."""
+  )
+
+
+class RetrievalConfigDict(TypedDict, total=False):
+  """Retrieval config."""
+
+  language_code: Optional[str]
+  """The language code of the user."""
+
+  lat_lng: Optional[GoogleTypeLatLngDict]
+  """The location of the user."""
+
+
+RetrievalConfigOrDict = Union[RetrievalConfig, RetrievalConfigDict]
+
+
 class ToolConfig(_common.BaseModel):
   """Tool config.
 
@@ -1875,6 +1967,9 @@ class ToolConfig(_common.BaseModel):
   function_calling_config: Optional[FunctionCallingConfig] = Field(
       default=None, description="""Optional. Function calling config."""
   )
+  retrieval_config: Optional[RetrievalConfig] = Field(
+      default=None, description="""Optional. Retrieval config."""
+  )
 
 
 class ToolConfigDict(TypedDict, total=False):
@@ -1886,6 +1981,9 @@ class ToolConfigDict(TypedDict, total=False):
   function_calling_config: Optional[FunctionCallingConfigDict]
   """Optional. Function calling config."""
 
+  retrieval_config: Optional[RetrievalConfigDict]
+  """Optional. Retrieval config."""
+
 
 ToolConfigOrDict = Union[ToolConfig, ToolConfigDict]
 
@@ -1894,9 +1992,7 @@ class PrebuiltVoiceConfig(_common.BaseModel):
   """The configuration for the prebuilt speaker to use."""
 
   voice_name: Optional[str] = Field(
-      default=None,
-      description="""The name of the prebuilt voice to use.
-      """,
+      default=None, description="""The name of the preset voice to use."""
   )
 
 
@@ -1904,8 +2000,7 @@ class PrebuiltVoiceConfigDict(TypedDict, total=False):
   """The configuration for the prebuilt speaker to use."""
 
   voice_name: Optional[str]
-  """The name of the prebuilt voice to use.
-      """
+  """The name of the preset voice to use."""
 
 
 PrebuiltVoiceConfigOrDict = Union[PrebuiltVoiceConfig, PrebuiltVoiceConfigDict]
@@ -1916,8 +2011,7 @@ class VoiceConfig(_common.BaseModel):
 
   prebuilt_voice_config: Optional[PrebuiltVoiceConfig] = Field(
       default=None,
-      description="""The configuration for the speaker to use.
-      """,
+      description="""The configuration for the prebuilt voice to use.""",
   )
 
 
@@ -1925,8 +2019,7 @@ class VoiceConfigDict(TypedDict, total=False):
   """The configuration for the voice to use."""
 
   prebuilt_voice_config: Optional[PrebuiltVoiceConfigDict]
-  """The configuration for the speaker to use.
-      """
+  """The configuration for the prebuilt voice to use."""
 
 
 VoiceConfigOrDict = Union[VoiceConfig, VoiceConfigDict]
@@ -1935,31 +2028,28 @@ class VoiceConfigDict(TypedDict, total=False):
 class SpeechConfig(_common.BaseModel):
   """The speech generation configuration."""
 
-  voice_config: Optional[VoiceConfig] = Field(
-      default=None,
-      description="""The configuration for the speaker to use.
-      """,
-  )
   language_code: Optional[str] = Field(
       default=None,
       description="""Language code (ISO 639. e.g. en-US) for the speech synthesization.
       Only available for Live API.
       """,
   )
+  voice_config: Optional[VoiceConfig] = Field(
+      default=None, description="""The configuration for the speaker to use."""
+  )
 
 
 class SpeechConfigDict(TypedDict, total=False):
   """The speech generation configuration."""
 
-  voice_config: Optional[VoiceConfigDict]
-  """The configuration for the speaker to use.
-      """
-
   language_code: Optional[str]
   """Language code (ISO 639. e.g. en-US) for the speech synthesization.
       Only available for Live API.
       """
 
+  voice_config: Optional[VoiceConfigDict]
+  """The configuration for the speaker to use."""
+
 
 SpeechConfigOrDict = Union[SpeechConfig, SpeechConfigDict]
 
@@ -5323,6 +5413,9 @@ class GenerationConfig(_common.BaseModel):
       default=None,
       description="""Optional. Output response mimetype of the generated candidate text. Supported mimetype: - `text/plain`: (default) Text output. - `application/json`: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.""",
   )
+  response_modalities: Optional[list[Modality]] = Field(
+      default=None, description="""Optional. The modalities of the response."""
+  )
   response_schema: Optional[Schema] = Field(
       default=None,
       description="""Optional. The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). If set, a compatible response_mime_type must also be set. Compatible mimetypes: `application/json`: Schema for JSON response.""",
@@ -5331,6 +5424,9 @@ class GenerationConfig(_common.BaseModel):
       default=None, description="""Optional. Routing configuration."""
   )
   seed: Optional[int] = Field(default=None, description="""Optional. Seed.""")
+  speech_config: Optional[SpeechConfig] = Field(
+      default=None, description="""Optional. The speech generation config."""
+  )
   stop_sequences: Optional[list[str]] = Field(
       default=None, description="""Optional. Stop sequences."""
   )
@@ -5378,6 +5474,9 @@ class GenerationConfigDict(TypedDict, total=False):
   response_mime_type: Optional[str]
   """Optional. Output response mimetype of the generated candidate text. Supported mimetype: - `text/plain`: (default) Text output. - `application/json`: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature."""
 
+  response_modalities: Optional[list[Modality]]
+  """Optional. The modalities of the response."""
+
   response_schema: Optional[SchemaDict]
   """Optional. The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). If set, a compatible response_mime_type must also be set. Compatible mimetypes: `application/json`: Schema for JSON response."""
 
@@ -5387,6 +5486,9 @@ class GenerationConfigDict(TypedDict, total=False):
   seed: Optional[int]
   """Optional. Seed."""
 
+  speech_config: Optional[SpeechConfigDict]
+  """Optional. The speech generation config."""
+
   stop_sequences: Optional[list[str]]
   """Optional. Stop sequences."""
 
@@ -6430,6 +6532,10 @@ class SupervisedTuningDatasetDistributionDict(TypedDict, total=False):
 class SupervisedTuningDataStats(_common.BaseModel):
   """Tuning data statistics for Supervised Tuning."""
 
+  dropped_example_reasons: Optional[list[str]] = Field(
+      default=None,
+      description="""Output only. For each index in `truncated_example_indices`, the user-facing reason why the example was dropped. Must not include example itself.""",
+  )
   total_billable_character_count: Optional[int] = Field(
       default=None,
       description="""Output only. Number of billable characters in the tuning dataset.""",
@@ -6440,7 +6546,7 @@ class SupervisedTuningDataStats(_common.BaseModel):
   )
   total_truncated_example_count: Optional[int] = Field(
       default=None,
-      description="""The number of examples in the dataset that have been truncated by any amount.""",
+      description="""Output only. The number of examples in the dataset that have been dropped. An example can be dropped for reasons including: too many tokens, contains an invalid image, contains too many images, etc.""",
   )
   total_tuning_character_count: Optional[int] = Field(
       default=None,
@@ -6448,7 +6554,7 @@ class SupervisedTuningDataStats(_common.BaseModel):
   )
   truncated_example_indices: Optional[list[int]] = Field(
       default=None,
-      description="""A partial sample of the indices (starting from 1) of the truncated examples.""",
+      description="""Output only. A partial sample of the indices (starting from 1) of the dropped examples.""",
   )
   tuning_dataset_example_count: Optional[int] = Field(
       default=None,
@@ -6485,6 +6591,9 @@ class SupervisedTuningDataStats(_common.BaseModel):
 class SupervisedTuningDataStatsDict(TypedDict, total=False):
   """Tuning data statistics for Supervised Tuning."""
 
+  dropped_example_reasons: Optional[list[str]]
+  """Output only. For each index in `truncated_example_indices`, the user-facing reason why the example was dropped. Must not include example itself."""
+
   total_billable_character_count: Optional[int]
   """Output only. Number of billable characters in the tuning dataset."""
 
@@ -6492,13 +6601,13 @@ class SupervisedTuningDataStatsDict(TypedDict, total=False):
   """Output only. Number of billable tokens in the tuning dataset."""
 
   total_truncated_example_count: Optional[int]
-  """The number of examples in the dataset that have been truncated by any amount."""
+  """Output only. The number of examples in the dataset that have been dropped. An example can be dropped for reasons including: too many tokens, contains an invalid image, contains too many images, etc."""
 
   total_tuning_character_count: Optional[int]
   """Output only. Number of tuning characters in the tuning dataset."""
 
   truncated_example_indices: Optional[list[int]]
-  """A partial sample of the indices (starting from 1) of the truncated examples."""
+  """Output only. A partial sample of the indices (starting from 1) of the dropped examples."""
 
   tuning_dataset_example_count: Optional[int]
   """Output only. Number of examples in the tuning dataset."""
@@ -6655,15 +6764,15 @@ class DistillationSpec(_common.BaseModel):
   )
   pipeline_root_directory: Optional[str] = Field(
       default=None,
-      description="""Required. A path in a Cloud Storage bucket, which will be treated as the root output directory of the distillation pipeline. It is used by the system to generate the paths of output artifacts.""",
+      description="""Deprecated. A path in a Cloud Storage bucket, which will be treated as the root output directory of the distillation pipeline. It is used by the system to generate the paths of output artifacts.""",
   )
   student_model: Optional[str] = Field(
       default=None,
-      description="""The student model that is being tuned, e.g., "google/gemma-2b-1.1-it".""",
+      description="""The student model that is being tuned, e.g., "google/gemma-2b-1.1-it". Deprecated. Use base_model instead.""",
   )
   training_dataset_uri: Optional[str] = Field(
       default=None,
-      description="""Required. Cloud Storage path to file containing training dataset for tuning. The dataset must be formatted as a JSONL file.""",
+      description="""Deprecated. Cloud Storage path to file containing training dataset for tuning. The dataset must be formatted as a JSONL file.""",
   )
   tuned_teacher_model_source: Optional[str] = Field(
       default=None,
@@ -6685,13 +6794,13 @@ class DistillationSpecDict(TypedDict, total=False):
   """Optional. Hyperparameters for Distillation."""
 
   pipeline_root_directory: Optional[str]
-  """Required. A path in a Cloud Storage bucket, which will be treated as the root output directory of the distillation pipeline. It is used by the system to generate the paths of output artifacts."""
+  """Deprecated. A path in a Cloud Storage bucket, which will be treated as the root output directory of the distillation pipeline. It is used by the system to generate the paths of output artifacts."""
 
   student_model: Optional[str]
-  """The student model that is being tuned, e.g., "google/gemma-2b-1.1-it"."""
+  """The student model that is being tuned, e.g., "google/gemma-2b-1.1-it". Deprecated. Use base_model instead."""
 
   training_dataset_uri: Optional[str]
-  """Required. Cloud Storage path to file containing training dataset for tuning. The dataset must be formatted as a JSONL file."""
+  """Deprecated. Cloud Storage path to file containing training dataset for tuning. The dataset must be formatted as a JSONL file."""
 
   tuned_teacher_model_source: Optional[str]
   """The resource name of the Tuned teacher model. Format: `projects/{project}/locations/{location}/models/{model}`."""
@@ -6776,6 +6885,10 @@ class TuningJob(_common.BaseModel):
       default=None,
       description="""Output only. The resource name of the PipelineJob associated with the TuningJob. Format: `projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}`.""",
   )
+  service_account: Optional[str] = Field(
+      default=None,
+      description="""The service account that the tuningJob workload runs as. If not specified, the Vertex AI Secure Fine-Tuned Service Agent in the project will be used. See https://cloud.google.com/iam/docs/service-agents#vertex-ai-secure-fine-tuning-service-agent Users starting the pipeline must have the `iam.serviceAccounts.actAs` permission on this service account.""",
+  )
   tuned_model_display_name: Optional[str] = Field(
       default=None,
       description="""Optional. The display name of the TunedModel. The name can be up to 128 characters long and can consist of any UTF-8 characters.""",
@@ -6849,6 +6962,9 @@ class TuningJobDict(TypedDict, total=False):
   pipeline_job: Optional[str]
   """Output only. The resource name of the PipelineJob associated with the TuningJob. Format: `projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}`."""
 
+  service_account: Optional[str]
+  """The service account that the tuningJob workload runs as. If not specified, the Vertex AI Secure Fine-Tuned Service Agent in the project will be used. See https://cloud.google.com/iam/docs/service-agents#vertex-ai-secure-fine-tuning-service-agent Users starting the pipeline must have the `iam.serviceAccounts.actAs` permission on this service account."""
+
   tuned_model_display_name: Optional[str]
   """Optional. The display name of the TunedModel. The name can be up to 128 characters long and can consist of any UTF-8 characters."""