chore: Use both Gemini and Vertex discovery docs in the generator

google/genai/_live_converters.py

@@ -226,6 +226,11 @@ def _GenerationConfig_to_vertex(
   if getv(from_object, ['top_p']) is not None:
     setv(to_object, ['topP'], getv(from_object, ['top_p']))
 
+  if getv(from_object, ['enable_enhanced_civic_answers']) is not None:
+    raise ValueError(
+        'enable_enhanced_civic_answers parameter is not supported in Vertex AI.'
+    )
+
   return to_object
 
 

google/genai/models.py

@@ -2398,6 +2398,11 @@ def _GenerationConfig_to_vertex(
   if getv(from_object, ['top_p']) is not None:
     setv(to_object, ['topP'], getv(from_object, ['top_p']))
 
+  if getv(from_object, ['enable_enhanced_civic_answers']) is not None:
+    raise ValueError(
+        'enable_enhanced_civic_answers parameter is not supported in Vertex AI.'
+    )
+
   return to_object
 
 

google/genai/tests/live/test_live.py

@@ -720,7 +720,11 @@ async def test_bidi_setup_to_api_speech_config(vertexai):
   result = await get_connect_message(
       mock_api_client(vertexai=vertexai), model='test_model', config=config_dict
   )
-  assert result == expected_result
+  assert types.LiveClientMessage._from_response(
+      response=result, kwargs=None
+  ) == types.LiveClientMessage._from_response(
+      response=expected_result, kwargs=None
+  )
   # Config is a LiveConnectConfig
   config = types.LiveConnectConfig(
       speech_config=types.SpeechConfig(
@@ -745,7 +749,11 @@ async def test_bidi_setup_to_api_speech_config(vertexai):
       mock_api_client(vertexai=vertexai),
       model='test_model', config=config
   )
-  assert result == expected_result
+  assert types.LiveClientMessage._from_response(
+      response=result, kwargs=None
+  ) == types.LiveClientMessage._from_response(
+      response=expected_result, kwargs=None
+  )
 
 
 @pytest.mark.parametrize('vertexai', [True, False])

google/genai/tests/operations/test_get.py

@@ -1,4 +1,4 @@
-# Copyright 2025 Google LLC
+ # Copyright 2025 Google LLC
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.

google/genai/tunings.py

@@ -551,36 +551,6 @@ def _TuningJob_from_mldev(
         _TunedModel_from_mldev(getv(from_object, ['_self']), to_object),
     )
 
-  if getv(from_object, ['customBaseModel']) is not None:
-    setv(
-        to_object, ['custom_base_model'], getv(from_object, ['customBaseModel'])
-    )
-
-  if getv(from_object, ['experiment']) is not None:
-    setv(to_object, ['experiment'], getv(from_object, ['experiment']))
-
-  if getv(from_object, ['labels']) is not None:
-    setv(to_object, ['labels'], getv(from_object, ['labels']))
-
-  if getv(from_object, ['outputUri']) is not None:
-    setv(to_object, ['output_uri'], getv(from_object, ['outputUri']))
-
-  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,
-        ['tuned_model_display_name'],
-        getv(from_object, ['tunedModelDisplayName']),
-    )
-
-  if getv(from_object, ['veoTuningSpec']) is not None:
-    setv(to_object, ['veo_tuning_spec'], getv(from_object, ['veoTuningSpec']))
-
   return to_object
 
 

google/genai/types.py

@@ -118,6 +118,19 @@ class Language(_common.CaseInSensitiveEnum):
   """Python >= 3.10, with numpy and simpy available."""
 
 
+class FunctionResponseScheduling(_common.CaseInSensitiveEnum):
+  """Specifies how the response should be scheduled in the conversation."""
+
+  SCHEDULING_UNSPECIFIED = 'SCHEDULING_UNSPECIFIED'
+  """This value is unused."""
+  SILENT = 'SILENT'
+  """Only add the result to the conversation context, do not interrupt or trigger generation."""
+  WHEN_IDLE = 'WHEN_IDLE'
+  """Add the result to the conversation context, and prompt to generate output without interrupting ongoing generation."""
+  INTERRUPT = 'INTERRUPT'
+  """Add the result to the conversation context, interrupt ongoing generation and prompt to generate output."""
+
+
 class Type(_common.CaseInSensitiveEnum):
   """Optional. The type of the data."""
 
@@ -144,14 +157,14 @@ class HarmCategory(_common.CaseInSensitiveEnum):
 
   HARM_CATEGORY_UNSPECIFIED = 'HARM_CATEGORY_UNSPECIFIED'
   """The harm category is unspecified."""
-  HARM_CATEGORY_HATE_SPEECH = 'HARM_CATEGORY_HATE_SPEECH'
-  """The harm category is hate speech."""
-  HARM_CATEGORY_DANGEROUS_CONTENT = 'HARM_CATEGORY_DANGEROUS_CONTENT'
-  """The harm category is dangerous content."""
   HARM_CATEGORY_HARASSMENT = 'HARM_CATEGORY_HARASSMENT'
   """The harm category is harassment."""
+  HARM_CATEGORY_HATE_SPEECH = 'HARM_CATEGORY_HATE_SPEECH'
+  """The harm category is hate speech."""
   HARM_CATEGORY_SEXUALLY_EXPLICIT = 'HARM_CATEGORY_SEXUALLY_EXPLICIT'
   """The harm category is sexually explicit content."""
+  HARM_CATEGORY_DANGEROUS_CONTENT = 'HARM_CATEGORY_DANGEROUS_CONTENT'
+  """The harm category is dangerous content."""
   HARM_CATEGORY_CIVIC_INTEGRITY = 'HARM_CATEGORY_CIVIC_INTEGRITY'
   """Deprecated: Election filter is not longer supported. The harm category is civic integrity."""
   HARM_CATEGORY_IMAGE_HATE = 'HARM_CATEGORY_IMAGE_HATE'
@@ -702,19 +715,6 @@ class MediaModality(_common.CaseInSensitiveEnum):
   """Document, e.g. PDF."""
 
 
-class FunctionResponseScheduling(_common.CaseInSensitiveEnum):
-  """Specifies how the response should be scheduled in the conversation."""
-
-  SCHEDULING_UNSPECIFIED = 'SCHEDULING_UNSPECIFIED'
-  """This value is unused."""
-  SILENT = 'SILENT'
-  """Only add the result to the conversation context, do not interrupt or trigger generation."""
-  WHEN_IDLE = 'WHEN_IDLE'
-  """Add the result to the conversation context, and prompt to generate output without interrupting ongoing generation."""
-  INTERRUPT = 'INTERRUPT'
-  """Add the result to the conversation context, interrupt ongoing generation and prompt to generate output."""
-
-
 class StartSensitivity(_common.CaseInSensitiveEnum):
   """Start of speech sensitivity."""
 
@@ -2672,8 +2672,7 @@ class GoogleSearch(_common.BaseModel):
   )
   exclude_domains: Optional[list[str]] = Field(
       default=None,
-      description="""Optional. List of domains to be excluded from the search results.
-      The default limit is 2000 domains.""",
+      description="""Optional. List of domains to be excluded from the search results. The default limit is 2000 domains. Example: ["amazon.com", "facebook.com"].""",
   )
 
 
@@ -2686,8 +2685,7 @@ class GoogleSearchDict(TypedDict, total=False):
       """
 
   exclude_domains: Optional[list[str]]
-  """Optional. List of domains to be excluded from the search results.
-      The default limit is 2000 domains."""
+  """Optional. List of domains to be excluded from the search results. The default limit is 2000 domains. Example: ["amazon.com", "facebook.com"]."""
 
 
 GoogleSearchOrDict = Union[GoogleSearch, GoogleSearchDict]
@@ -8304,34 +8302,6 @@ class DeleteModelResponseDict(TypedDict, total=False):
 DeleteModelResponseOrDict = Union[DeleteModelResponse, DeleteModelResponseDict]
 
 
-class GenerationConfigThinkingConfig(_common.BaseModel):
-  """Config for thinking features."""
-
-  include_thoughts: Optional[bool] = Field(
-      default=None,
-      description="""Optional. Indicates whether to include thoughts in the response. If true, thoughts are returned only when available.""",
-  )
-  thinking_budget: Optional[int] = Field(
-      default=None,
-      description="""Optional. Indicates the thinking budget in tokens.""",
-  )
-
-
-class GenerationConfigThinkingConfigDict(TypedDict, total=False):
-  """Config for thinking features."""
-
-  include_thoughts: Optional[bool]
-  """Optional. Indicates whether to include thoughts in the response. If true, thoughts are returned only when available."""
-
-  thinking_budget: Optional[int]
-  """Optional. Indicates the thinking budget in tokens."""
-
-
-GenerationConfigThinkingConfigOrDict = Union[
-    GenerationConfigThinkingConfig, GenerationConfigThinkingConfigDict
-]
-
-
 class GenerationConfig(_common.BaseModel):
   """Generation config."""
 
@@ -8400,7 +8370,7 @@ class GenerationConfig(_common.BaseModel):
       default=None,
       description="""Optional. Controls the randomness of predictions.""",
   )
-  thinking_config: Optional[GenerationConfigThinkingConfig] = Field(
+  thinking_config: Optional[ThinkingConfig] = Field(
       default=None,
       description="""Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking.""",
   )
@@ -8412,6 +8382,10 @@ class GenerationConfig(_common.BaseModel):
       default=None,
       description="""Optional. If specified, nucleus sampling will be used.""",
   )
+  enable_enhanced_civic_answers: Optional[bool] = Field(
+      default=None,
+      description="""Optional. Enables enhanced civic answers. It may not be available for all models.""",
+  )
 
 
 class GenerationConfigDict(TypedDict, total=False):
@@ -8474,7 +8448,7 @@ class GenerationConfigDict(TypedDict, total=False):
   temperature: Optional[float]
   """Optional. Controls the randomness of predictions."""
 
-  thinking_config: Optional[GenerationConfigThinkingConfigDict]
+  thinking_config: Optional[ThinkingConfigDict]
   """Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking."""
 
   top_k: Optional[float]
@@ -8483,6 +8457,9 @@ class GenerationConfigDict(TypedDict, total=False):
   top_p: Optional[float]
   """Optional. If specified, nucleus sampling will be used."""
 
+  enable_enhanced_civic_answers: Optional[bool]
+  """Optional. Enables enhanced civic answers. It may not be available for all models."""
+
 
 GenerationConfigOrDict = Union[GenerationConfig, GenerationConfigDict]
 
@@ -9335,14 +9312,22 @@ class TunedModelCheckpointDict(TypedDict, total=False):
 
 
 class TunedModel(_common.BaseModel):
+  """TunedModel for the Tuned Model of a Tuning Job."""
 
   model: Optional[str] = Field(
       default=None,
-      description="""Output only. The resource name of the TunedModel. Format: `projects/{project}/locations/{location}/models/{model}@{version_id}` When tuning from a base model, the version_id will be 1. For continuous tuning, the version id will be incremented by 1 from the last version id in the parent model. E.g., `projects/{project}/locations/{location}/models/{model}@{last_version_id + 1}`""",
+      description="""Output only. The resource name of the TunedModel.
+      Format: `projects/{project}/locations/{location}/models/{model}@{version_id}`
+      When tuning from a base model, the version_id will be 1.
+      For continuous tuning, the version id will be incremented by 1 from the
+      last version id in the parent model. E.g., `projects/{project}/locations/{location}/models/{model}@{last_version_id + 1}`
+      """,
   )
   endpoint: Optional[str] = Field(
       default=None,
-      description="""Output only. A resource name of an Endpoint. Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`.""",
+      description="""Output only. A resource name of an Endpoint.
+      Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`.
+      """,
   )
   checkpoints: Optional[list[TunedModelCheckpoint]] = Field(
       default=None,
@@ -9353,12 +9338,20 @@ class TunedModel(_common.BaseModel):
 
 
 class TunedModelDict(TypedDict, total=False):
+  """TunedModel for the Tuned Model of a Tuning Job."""
 
   model: Optional[str]
-  """Output only. The resource name of the TunedModel. Format: `projects/{project}/locations/{location}/models/{model}@{version_id}` When tuning from a base model, the version_id will be 1. For continuous tuning, the version id will be incremented by 1 from the last version id in the parent model. E.g., `projects/{project}/locations/{location}/models/{model}@{last_version_id + 1}`"""
+  """Output only. The resource name of the TunedModel.
+      Format: `projects/{project}/locations/{location}/models/{model}@{version_id}`
+      When tuning from a base model, the version_id will be 1.
+      For continuous tuning, the version id will be incremented by 1 from the
+      last version id in the parent model. E.g., `projects/{project}/locations/{location}/models/{model}@{last_version_id + 1}`
+      """
 
   endpoint: Optional[str]
-  """Output only. A resource name of an Endpoint. Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`."""
+  """Output only. A resource name of an Endpoint.
+      Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`.
+      """
 
   checkpoints: Optional[list[TunedModelCheckpointDict]]
   """The checkpoints associated with this TunedModel.
@@ -10829,22 +10822,24 @@ class _CancelTuningJobParametersDict(TypedDict, total=False):
 
 
 class TuningExample(_common.BaseModel):
+  """A single example for tuning."""
 
-  text_input: Optional[str] = Field(
-      default=None, description="""Text model input."""
-  )
   output: Optional[str] = Field(
-      default=None, description="""The expected model output."""
+      default=None, description="""Required. The expected model output."""
+  )
+  text_input: Optional[str] = Field(
+      default=None, description="""Optional. Text model input."""
   )
 
 
 class TuningExampleDict(TypedDict, total=False):
-
-  text_input: Optional[str]
-  """Text model input."""
+  """A single example for tuning."""
 
   output: Optional[str]
-  """The expected model output."""
+  """Required. The expected model output."""
+
+  text_input: Optional[str]
+  """Optional. Text model input."""
 
 
 TuningExampleOrDict = Union[TuningExample, TuningExampleDict]
@@ -11656,10 +11651,11 @@ class ListFilesResponse(_common.BaseModel):
       default=None, description="""Used to retain the full HTTP response."""
   )
   next_page_token: Optional[str] = Field(
-      default=None, description="""A token to retrieve next page of results."""
+      default=None,
+      description="""A token that can be sent as a `page_token` into a subsequent `ListFiles` call.""",
   )
   files: Optional[list[File]] = Field(
-      default=None, description="""The list of files."""
+      default=None, description="""The list of `File`s."""
   )
 
 
@@ -11670,10 +11666,10 @@ class ListFilesResponseDict(TypedDict, total=False):
   """Used to retain the full HTTP response."""
 
   next_page_token: Optional[str]
-  """A token to retrieve next page of results."""
+  """A token that can be sent as a `page_token` into a subsequent `ListFiles` call."""
 
   files: Optional[list[FileDict]]
-  """The list of files."""
+  """The list of `File`s."""
 
 
 ListFilesResponseOrDict = Union[ListFilesResponse, ListFilesResponseDict]
@@ -12351,6 +12347,25 @@ def done(self) -> bool:
     return self.state.name in JOB_STATES_ENDED
 
 
+class GenerationConfigThinkingConfig(ThinkingConfig):
+  """Config for thinking feature.
+
+  This class will be deprecated. Please use `ThinkingConfig` instead.
+  """
+
+
+class GenerationConfigThinkingConfigDict(ThinkingConfigDict):
+  """Config for thinking feature.
+
+  This class will be deprecated. Please use `ThinkingConfig` instead.
+  """
+
+
+GenerationConfigThinkingConfigOrDict = Union[
+    GenerationConfigThinkingConfig, GenerationConfigThinkingConfigDict
+]
+
+
 class BatchJobDict(TypedDict, total=False):
   """Config for batches.create return value."""