googleai_dart library

Classes

BatchEmbedContentsRequest: Batch request to get embeddings from the model for a list of prompts.
BatchEmbedContentsResponse: The response to a BatchEmbedContentsRequest.
Blob: Raw media bytes. Text should not be sent as raw bytes, use the 'text' field.
CancelOperationRequest: The request message for Operations.CancelOperation.
Candidate: A response candidate generated from the model.
CitationMetadata: A collection of source attributions for a piece of content.
CitationSource: A citation to a source for a portion of a specific response.
Content: The base structured datatype containing multi-part content of a message. A Content includes a role field designating the producer of the Content and a parts field containing multi-part data that contains the content of the message turn.
ContentEmbedding: A list of floats representing an embedding.
CountTokensRequest: Counts the number of tokens in the prompt sent to a model. Models may tokenize text differently, so each model may return a different token_count.
CountTokensResponse: A response from CountTokens. It returns the model's token_count for the prompt.
CreateTunedModelMetadata: Metadata about the state and progress of creating a tuned model returned from the long-running operation.
EmbedContentRequest: Request containing the Content for the model to embed.
EmbedContentResponse: The response to an EmbedContentRequest.
Empty: A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }
GenerateContentRequest: Request to generate a completion from the model.
GenerateContentResponse: Response from the model supporting multiple candidates. Note on safety ratings and content filtering. They are reported for both prompt in GenerateContentResponse.prompt_feedback and for each candidate in finish_reason and in safety_ratings. The API contract is that: - either all requested candidates are returned or no candidates at all - no candidates are returned only if there was something wrong with the prompt (see prompt_feedback) - feedback on each candidate is reported on finish_reason and safety_ratings.
GenerationConfig: Configuration options for model generation and outputs. Not all parameters may be configurable for every model.
GoogleAIClient: Client for Google AI API (Gemini API).
ListModelsResponse: Response from ListModel containing a paginated list of Models.
ListOperationsResponse: The response message for Operations.ListOperations.
Model: Information about a Generative Language Model.
Operation: This resource represents a long-running operation that is the result of a network API call.
Part: A datatype containing media that is part of a multi-part Content message. A Part consists of data which has an associated datatype. A Part can only contain one of the accepted types in Part.data. A Part must have a fixed IANA MIME type identifying the type and subtype of the media if the inline_data field is filled with raw bytes.
PromptFeedback: A set of the feedback metadata the prompt specified in GenerateContentRequest.content.
SafetyRating: Safety rating for a piece of content. The safety rating contains the category of harm and the harm probability level in that category for a piece of content. Content is classified for safety across a number of harm categories and the probability of the harm classification is included here.
SafetySetting: Safety setting, affecting the safety-blocking behavior. Passing a safety setting for a category changes the allowed proability that content is blocked.
Status: The Status type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by gRPC. Each Status message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the API Design Guide.
TuningSnapshot: Record for a single tuning step.

Enums

CandidateFinishReason: Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating the tokens.
EmbedContentRequestTaskType: Optional. Optional task type for which the embeddings will be used. Can only be set for models/embedding-001 or newer models.
PromptFeedbackBlockReason: Optional. If set, the prompt was blocked and no candidates are returned. Rephrase your prompt.
SafetyRatingCategory: Required. The category for this rating.
SafetyRatingProbability: Required. The probability of harm for this content.
SafetySettingCategory: Required. The category for this setting.
SafetySettingThreshold: Required. Controls the probability threshold at which harm is blocked.

Exceptions / Errors

GoogleAIClientException: HTTP exception handler for GoogleAIClient

googleai_dart library

Classes

Enums

Exceptions / Errors

googleai_dart package

googleai_dart library