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