Module google_api_proto::google::ai::generativelanguage::v1beta3

Modules

• content_filter
  Nested message and enum types in ContentFilter.
• dataset
  Nested message and enum types in Dataset.
• discuss_service_client
  Generated client implementations.
• model_service_client
  Generated client implementations.
• permission
  Nested message and enum types in Permission.
• permission_service_client
  Generated client implementations.
• safety_rating
  Nested message and enum types in SafetyRating.
• safety_setting
  Nested message and enum types in SafetySetting.
• text_service_client
  Generated client implementations.
• tuned_model
  Nested message and enum types in TunedModel.
• tuning_example
  Nested message and enum types in TuningExample.

Structs

• BatchEmbedTextRequest
  Batch request to get a text embedding from the model.
• BatchEmbedTextResponse
  The response to a EmbedTextRequest.
• CitationMetadata
  A collection of source attributions for a piece of content.
• CitationSource
  A citation to a source for a portion of a specific response.
• ContentFilter
  Content filtering metadata associated with processing a single request.
• CountMessageTokensRequest
  Counts the number of tokens in the prompt sent to a model.
• CountMessageTokensResponse
  A response from CountMessageTokens.
• CountTextTokensRequest
  Counts the number of tokens in the prompt sent to a model.
• CountTextTokensResponse
  A response from CountTextTokens.
• CreatePermissionRequest
  Request to create a Permission.
• CreateTunedModelMetadata
  Metadata about the state and progress of creating a tuned model returned from the long-running operation
• CreateTunedModelRequest
  Request to create a TunedModel.
• Dataset
  Dataset for training or validation.
• DeletePermissionRequest
  Request to delete the Permission.
• DeleteTunedModelRequest
  Request to delete a TunedModel.
• EmbedTextRequest
  Request to get a text embedding from the model.
• EmbedTextResponse
  The response to a EmbedTextRequest.
• Embedding
  A list of floats representing the embedding.
• Example
  An input/output example used to instruct the Model.
• GenerateMessageRequest
  Request to generate a message response from the model.
• GenerateMessageResponse
  The response from the model.
• GenerateTextRequest
  Request to generate a text completion response from the model.
• GenerateTextResponse
  The response from the model, including candidate completions.
• GetModelRequest
  Request for getting information about a specific Model.
• GetPermissionRequest
  Request for getting information about a specific Permission.
• GetTunedModelRequest
  Request for getting information about a specific Model.
• Hyperparameters
  Hyperparameters controlling the tuning process.
• ListModelsRequest
  Request for listing all Models.
• ListModelsResponse
  Response from ListModel containing a paginated list of Models.
• ListPermissionsRequest
  Request for listing permissions.
• ListPermissionsResponse
  Response from ListPermissions containing a paginated list of permissions.
• ListTunedModelsRequest
  Request for listing TunedModels.
• ListTunedModelsResponse
  Response from ListTunedModels containing a paginated list of Models.
• Message
  The base unit of structured text.
• MessagePrompt
  All of the structured input text passed to the model as a prompt.
• Model
  Information about a Generative Language Model.
• Permission
  Permission resource grants user, group or the rest of the world access to the PaLM API resource (e.g. a tuned model, file).
• SafetyFeedback
  Safety feedback for an entire request.
• SafetyRating
  Safety rating for a piece of content.
• SafetySetting
  Safety setting, affecting the safety-blocking behavior.
• TextCompletion
  Output text returned from a model.
• TextPrompt
  Text given to the model as a prompt.
• TransferOwnershipRequest
  Request to transfer the ownership of the tuned model.
• TransferOwnershipResponse
  Response from TransferOwnership.
• TunedModel
  A fine-tuned model created using ModelService.CreateTunedModel.
• TunedModelSource
  Tuned model as a source for training a new model.
• TuningExample
  A single example for tuning.
• TuningExamples
  A set of tuning examples. Can be training or validatation data.
• TuningSnapshot
  Record for a single tuning step.
• TuningTask
  Tuning tasks that create tuned models.
• UpdatePermissionRequest
  Request to update the Permission.
• UpdateTunedModelRequest
  Request to update a TunedModel.

Enums

• HarmCategory
  The category of a rating.