Uses of Class
com.google.genai.JsonSerializable

Packages that use JsonSerializable

Package	Description
com.google.genai
com.google.genai.types

Uses of JsonSerializable in com.google.genai

Classes in com.google.genai with type parameters of type JsonSerializable

Modifier and Type	Class	Description
class	AsyncPager<T extends JsonSerializable>	AsyncPager class for handling paginated results asynchronously.
class	Pager<T extends JsonSerializable>	Pager class for iterating through paginated results.
class	ResponseStream<T extends JsonSerializable>	An iterable of datatype objects.

Uses of JsonSerializable in com.google.genai.types

Subclasses of JsonSerializable in com.google.genai.types

Modifier and Type	Class	Description
class	ActivityEnd	Marks the end of user activity.
class	ActivityStart	Marks the start of user activity.
class	ApiAuth	The generic reusable api auth config.
class	ApiAuthApiKeyConfig	The API secret.
class	ApiKeyConfig	Config for authentication with API key.
class	AudioTranscriptionConfig	The audio transcription configuration in Setup.
class	AuthConfig	Auth configuration to run the extension.
class	AuthConfigGoogleServiceAccountConfig	Config for Google Service Account Authentication.
class	AuthConfigHttpBasicAuthConfig	Config for HTTP Basic Authentication.
class	AuthConfigOauthConfig	Config for user oauth.
class	AuthConfigOidcConfig	Config for user OIDC auth.
class	AutomaticActivityDetection	Configures automatic detection of activity.
class	AutomaticFunctionCallingConfig	The configuration for automatic function calling.
class	BatchJob	Config for batches.create return value.
class	BatchJobDestination	Config for `des` parameter.
class	BatchJobSource	Config for `src` parameter.
class	Blob	Content blob.
class	CachedContent	A resource used in LLM queries for users to explicitly specify what to cache.
class	CachedContentUsageMetadata	Metadata on the usage of the cached content.
class	CancelBatchJobConfig	Optional parameters.
class	CancelBatchJobParameters	Config for batches.cancel parameters.
class	CancelTuningJobConfig	Optional parameters for tunings.cancel method.
class	CancelTuningJobParameters	Parameters for the cancel method.
class	Candidate	A response candidate generated from the model.
class	Checkpoint	Describes the machine learning model version checkpoint.
class	Citation	Source attributions for content.
class	CitationMetadata	Citation information when the model quotes another source.
class	ClientOptions	Client options to be used in the client instantiation.
class	CodeExecutionResult	Result of executing the [ExecutableCode].
class	ComputeTokensConfig	Optional parameters for computing tokens.
class	ComputeTokensParameters	Parameters for computing tokens.
class	ComputeTokensResponse	Response for computing tokens.
class	ComputeTokensResult	Local tokenizer compute tokens result.
class	Content	Contains the multi-part content of a message.
class	ContentEmbedding	The embedding generated from an input content.
class	ContentEmbeddingStatistics	Statistics of the input text associated with the result of content embedding.
class	ContentReferenceImage	A content reference image.
class	ContextWindowCompressionConfig	Enables context window compression -- mechanism managing model context window so it does not exceed given length.
class	ControlReferenceConfig	Configuration for a Control reference image.
class	ControlReferenceImage	A control reference image.
class	CountTokensConfig	Config for the count_tokens method.
class	CountTokensParameters	Parameters for counting tokens.
class	CountTokensResponse	Response for counting tokens.
class	CountTokensResult	Local tokenizer count tokens result.
class	CreateBatchJobConfig	Config for optional parameters.
class	CreateBatchJobParameters	Config for batches.create parameters.
class	CreateCachedContentConfig	Optional configuration for cached content creation.
class	CreateCachedContentParameters	Parameters for caches.create method.
class	CreateFileConfig	Used to override the default configuration.
class	CreateFileParameters	Generates the parameters for the private _create method.
class	CreateFileResponse	Response for the create file method.
class	CreateTuningJobConfig	Supervised fine-tuning job creation request - optional fields.
class	CreateTuningJobParameters	Supervised fine-tuning job creation parameters - optional fields.
class	CreateTuningJobParametersPrivate	Supervised fine-tuning job creation parameters - optional fields.
class	DatasetDistribution	Distribution computed over a tuning dataset.
class	DatasetDistributionDistributionBucket	Dataset bucket used to create a histogram for the distribution given a population of values.
class	DatasetStats	Statistics computed over a tuning dataset.
class	DeleteBatchJobConfig	Optional parameters for models.get method.
class	DeleteBatchJobParameters	Config for batches.delete parameters.
class	DeleteCachedContentConfig	Optional parameters for caches.delete method.
class	DeleteCachedContentParameters	Parameters for caches.delete method.
class	DeleteCachedContentResponse	Empty response for caches.delete method.
class	DeleteFileConfig	Used to override the default configuration.
class	DeleteFileParameters	Generates the parameters for the get method.
class	DeleteFileResponse	Response for the delete file method.
class	DeleteModelConfig	Configuration for deleting a tuned model.
class	DeleteModelParameters	Parameters for deleting a tuned model.
class	DeleteModelResponse	None
class	DeleteResourceJob	The return value of delete operation.
class	DistillationDataStats	Statistics computed for datasets used for distillation.
class	DownloadFileConfig	Used to override the default configuration.
class	DynamicRetrievalConfig	Describes the options to customize dynamic retrieval.
class	EditImageConfig	Configuration for editing an image.
class	EditImageParameters	Parameters for the request to edit an image.
class	EditImageResponse	Response for the request to edit an image.
class	EmbedContentBatch	Parameters for the embed_content method.
class	EmbedContentConfig	Optional parameters for the embed_content method.
class	EmbedContentMetadata	Request-level metadata for the Vertex Embed Content API.
class	EmbedContentParameters	Parameters for the embed_content method.
class	EmbedContentResponse	Response for the embed_content method.
class	EncryptionSpec	Represents a customer-managed encryption key spec that can be applied to a top-level resource.
class	Endpoint	An endpoint where you deploy models.
class	EnterpriseWebSearch	Tool to search public web data, powered by Vertex AI Search and Sec4 compliance.
class	EntityLabel	An entity representing the segmented area.
class	ExecutableCode	Code generated by the model that is meant to be executed, and the result returned to the model.
class	ExternalApi	Retrieve from data source powered by external API for grounding.
class	ExternalApiElasticSearchParams	The search parameters to use for the ELASTIC_SEARCH spec.
class	ExternalApiSimpleSearchParams	The search parameters to use for SIMPLE_SEARCH spec.
class	FetchPredictOperationConfig	None
class	FetchPredictOperationParameters	Parameters for the fetchPredictOperation method.
class	File	A file uploaded to the API.
class	FileData	URI based data.
class	FileStatus	Status of a File that uses a common error model.
class	FunctionCall	A function call.
class	FunctionCallingConfig	Function calling config.
class	FunctionDeclaration	Defines a function that the model can generate JSON inputs for.
class	FunctionResponse	A function response.
class	FunctionResponseBlob	Raw media bytes for function response.
class	FunctionResponseFileData	URI based data for function response.
class	FunctionResponsePart	A datatype containing media that is part of a `FunctionResponse` message.
class	GeminiPreferenceExample	Input example for preference optimization.
class	GeminiPreferenceExampleCompletion	Completion and its preference score.
class	GenerateContentConfig	Optional model configuration parameters.
class	GenerateContentParameters	Config for models.generate_content parameters.
class	GenerateContentResponse	Response message for PredictionService.GenerateContent.
class	GenerateContentResponsePromptFeedback	Content filter results for a prompt sent in the request.
class	GenerateContentResponseUsageMetadata	Usage metadata about response(s).
class	GeneratedImage	An output image.
class	GeneratedImageMask	A generated image mask.
class	GeneratedVideo	A generated video.
class	GenerateImagesConfig	The config for generating an images.
class	GenerateImagesParameters	The parameters for generating images.
class	GenerateImagesResponse	The output images response.
class	GenerateVideosConfig	Configuration for generating videos.
class	GenerateVideosOperation	A video generation operation.
class	GenerateVideosParameters	Class that represents the parameters for generating videos.
class	GenerateVideosResponse	Response with generated videos.
class	GenerateVideosSource	A set of source input(s) for video generation.
class	GenerationConfig	Generation config.
class	GenerationConfigRoutingConfig	The configuration for routing the request to a specific model.
class	GenerationConfigRoutingConfigAutoRoutingMode	When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference.
class	GenerationConfigRoutingConfigManualRoutingMode	When manual routing is set, the specified model will be used directly.
class	GenerationConfigThinkingConfig	Config for thinking features.
class	GetBatchJobConfig	Optional parameters.
class	GetBatchJobParameters	Config for batches.get parameters.
class	GetCachedContentConfig	Optional parameters for caches.get method.
class	GetCachedContentParameters	Parameters for caches.get method.
class	GetFileConfig	Used to override the default configuration.
class	GetFileParameters	Generates the parameters for the get method.
class	GetModelConfig	Optional parameters for models.get method.
class	GetModelParameters	None
class	GetOperationConfig	None
class	GetOperationParameters	Parameters for the GET method.
class	GetTuningJobConfig	Optional parameters for tunings.get method.
class	GetTuningJobParameters	Parameters for the get method.
class	GoogleMaps	Tool to support Google Maps in Model.
class	GoogleRpcStatus	The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs.
class	GoogleSearch	Tool to support Google Search in Model.
class	GoogleSearchRetrieval	Tool to retrieve public web data for grounding, powered by Google.
class	GoogleTypeDate	Represents a whole or partial calendar date, such as a birthday.
class	GroundingChunk	Grounding chunk.
class	GroundingChunkMaps	Chunk from Google Maps.
class	GroundingChunkMapsPlaceAnswerSources	Sources used to generate the place answer.
class	GroundingChunkMapsPlaceAnswerSourcesAuthorAttribution	Author attribution for a photo or review.
class	GroundingChunkMapsPlaceAnswerSourcesReviewSnippet	Encapsulates a review snippet.
class	GroundingChunkRetrievedContext	Chunk from context retrieved by the retrieval tools.
class	GroundingChunkWeb	Chunk from the web.
class	GroundingMetadata	Metadata returned to client when grounding is enabled.
class	GroundingSupport	Grounding support.
class	HttpOptions	HTTP options to be used in each of the requests.
class	HttpResponse	A wrapper class for the http response.
class	Image	An image.
class	InlinedEmbedContentResponse	Config for `inlined_embedding_responses` parameter.
class	InlinedRequest	Config for inlined request.
class	InlinedResponse	Config for `inlined_responses` parameter.
class	Interval	Represents a time interval, encoded as a start time (inclusive) and an end time (exclusive).
class	JobError	Job error.
class	LatLng	An object that represents a latitude/longitude pair.
class	ListBatchJobsConfig	Config for optional parameters.
class	ListBatchJobsParameters	Config for batches.list parameters.
class	ListBatchJobsResponse	Config for batches.list return value.
class	ListCachedContentsConfig	Config for caches.list method.
class	ListCachedContentsParameters	Parameters for caches.list method.
class	ListCachedContentsResponse	None
class	ListFilesConfig	Used to override the default configuration.
class	ListFilesParameters	Generates the parameters for the list method.
class	ListFilesResponse	Response for the list files method.
class	ListModelsConfig	None
class	ListModelsParameters	None
class	ListModelsResponse	None
class	ListTuningJobsConfig	Configuration for the list tuning jobs method.
class	ListTuningJobsParameters	Parameters for the list tuning jobs method.
class	ListTuningJobsResponse	Response for the list tuning jobs method.
class	LiveClientContent	Incremental update of the current conversation delivered from the client.
class	LiveClientMessage	Messages sent by the client in the API call.
class	LiveClientRealtimeInput	User input that is sent in real time.
class	LiveClientSetup	Message contains configuration that will apply for the duration of the streaming session.
class	LiveClientToolResponse	Client generated response to a `ToolCall` received from the server.
class	LiveConnectConfig	Session config for the API connection.
class	LiveConnectParameters	Parameters for connecting to the live API.
class	LiveSendClientContentParameters	Parameters for sending client content to the live API.
class	LiveSendRealtimeInputParameters	Parameters for sending realtime input to the live API.
class	LiveSendToolResponseParameters	Parameters for sending tool responses to the live API.
class	LiveServerContent	Incremental server update generated by the model in response to client messages.
class	LiveServerGoAway	Server will not be able to service client soon.
class	LiveServerMessage	Response message for API call.
class	LiveServerSessionResumptionUpdate	Update of the session resumption state.
class	LiveServerSetupComplete	Sent in response to a `LiveGenerateContentSetup` message from the client.
class	LiveServerToolCall	Request for the client to execute the `function_calls` and return the responses with the matching `id`s.
class	LiveServerToolCallCancellation	Notification for the client that a previously issued `ToolCallMessage` with the specified `id`s should have been not executed and should be cancelled.
class	LogprobsResult	Logprobs Result
class	LogprobsResultCandidate	Candidate for the logprobs token and score.
class	LogprobsResultTopCandidates	Candidates with top log probabilities at each decoding step.
class	MaskReferenceConfig	Configuration for a Mask reference image.
class	MaskReferenceImage	A mask reference image.
class	ModalityTokenCount	Represents token counting info for a single modality.
class	Model	A trained machine learning model.
class	ModelSelectionConfig	Config for model selection.
class	MultiSpeakerVoiceConfig	The configuration for the multi-speaker setup.
class	Part	A datatype containing media content.
class	PartnerModelTuningSpec	Tuning spec for Partner models.
class	PrebuiltVoiceConfig	The configuration for the prebuilt speaker to use.
class	PreferenceOptimizationDataStats	Statistics computed for datasets used for preference optimization.
class	PreTunedModel	A pre-tuned model for continuous tuning.
class	ProactivityConfig	Config for proactivity features.
class	ProductImage	An image of the product.
class	RagChunk	A RagChunk includes the content of a chunk of a RagFile, and associated metadata.
class	RagChunkPageSpan	Represents where the chunk starts and ends in the document.
class	RagRetrievalConfig	Specifies the context retrieval config.
class	RagRetrievalConfigFilter	Config for filters.
class	RagRetrievalConfigHybridSearch	Config for Hybrid Search.
class	RagRetrievalConfigRanking	Config for ranking and reranking.
class	RagRetrievalConfigRankingLlmRanker	Config for LlmRanker.
class	RagRetrievalConfigRankingRankService	Config for Rank Service.
class	RawReferenceImage	A raw reference image.
class	RealtimeInputConfig	Marks the end of user activity.
class	RecontextImageConfig	Configuration for recontextualizing an image.
class	RecontextImageParameters	The parameters for recontextualizing an image.
class	RecontextImageResponse	The output images response.
class	RecontextImageSource	A set of source input(s) for image recontextualization.
class	ReferenceImageAPI	Private class that represents a Reference image that is sent to API.
class	ReplayFile	Represents a recorded session.
class	ReplayInteraction	Represents a single interaction, request and response in a replay.
class	ReplayRequest	Represents a single request in a replay.
class	ReplayResponse	Represents a single response in a replay.
class	Retrieval	Defines a retrieval tool that model can call to access external knowledge.
class	RetrievalConfig	Retrieval config.
class	RetrievalMetadata	Metadata related to retrieval in the grounding flow.
class	SafetyAttributes	Safety attributes of a GeneratedImage or the user-provided prompt.
class	SafetyRating	Safety rating corresponding to the generated content.
class	SafetySetting	Safety settings.
class	Schema	Schema is used to define the format of input/output data.
class	ScribbleImage	An image mask representing a brush scribble.
class	SearchEntryPoint	Google search entry point.
class	Segment	Segment of the content.
class	SegmentImageConfig	Configuration for segmenting an image.
class	SegmentImageParameters	The parameters for segmenting an image.
class	SegmentImageResponse	The output images response.
class	SegmentImageSource	A set of source input(s) for image segmentation.
class	SessionResumptionConfig	Configuration of session resumption mechanism.
class	SingleEmbedContentResponse	Config for `response` parameter.
class	SlidingWindow	Context window will be truncated by keeping only suffix of it.
class	SpeakerVoiceConfig	The configuration for the speaker to use.
class	SpeechConfig	The speech generation configuration.
class	StyleReferenceConfig	Configuration for a Style reference image.
class	StyleReferenceImage	A style reference image.
class	SubjectReferenceConfig	Configuration for a Subject reference image.
class	SubjectReferenceImage	A subject reference image.
class	SupervisedHyperParameters	Hyperparameters for SFT.
class	SupervisedTuningDatasetDistribution	Dataset distribution for Supervised Tuning.
class	SupervisedTuningDatasetDistributionDatasetBucket	Dataset bucket used to create a histogram for the distribution given a population of values.
class	SupervisedTuningDataStats	Tuning data statistics for Supervised Tuning.
class	SupervisedTuningSpec	Tuning Spec for Supervised Tuning for first party models.
class	TestTableFile	None
class	TestTableItem	None
class	ThinkingConfig	The thinking features configuration.
class	TokensInfo	Tokens info with a list of tokens and the corresponding list of token ids.
class	Tool	Tool details of a tool that the model may use to generate a response.
class	ToolCodeExecution	Tool that executes code generated by the model, and automatically returns the result to the model.
class	ToolComputerUse	Tool to support computer use.
class	ToolConfig	Tool config.
class	Transcription	Audio transcription in Server Conent.
class	TunedModel	None
class	TunedModelCheckpoint	TunedModelCheckpoint for the Tuned Model of a Tuning Job.
class	TunedModelInfo	A tuned machine learning model.
class	TuningDataset	Supervised fine-tuning training dataset.
class	TuningDataStats	The tuning data statistic values for TuningJob.
class	TuningExample	None
class	TuningJob	A tuning job.
class	TuningOperation	A long-running operation.
class	TuningValidationDataset	None
class	UpdateCachedContentConfig	Optional parameters for caches.update method.
class	UpdateCachedContentParameters	None
class	UpdateModelConfig	Configuration for updating a tuned model.
class	UpdateModelParameters	Configuration for updating a tuned model.
class	UploadFileConfig	Used to override the default configuration.
class	UpscaleImageAPIConfig	Internal API config for UpscaleImage.
class	UpscaleImageAPIParameters	API parameters for UpscaleImage.
class	UpscaleImageConfig	Configuration for upscaling an image.
class	UpscaleImageParameters	User-facing config UpscaleImageParameters.
class	UpscaleImageResponse	None
class	UrlContext	Tool to support URL context retrieval.
class	UrlContextMetadata	Metadata related to url context retrieval tool.
class	UrlMetadata	Context for a single url retrieval.
class	UsageMetadata	Usage metadata about response(s).
class	VertexAISearch	Retrieve from Vertex AI Search datastore or engine for grounding.
class	VertexAISearchDataStoreSpec	Define data stores within engine to filter on in a search call and configurations for those data stores.
class	VertexRagStore	Retrieve from Vertex RAG Store for grounding.
class	VertexRagStoreRagResource	The definition of the Rag resource.
class	Video	A generated video.
class	VideoGenerationMask	A mask for video generation.
class	VideoGenerationReferenceImage	A reference image for video generation.
class	VideoMetadata	Describes how the video in the Part should be used by the model.
class	VoiceConfig	The configuration for the voice to use.