Namespace Glitch9.AIDevKit.Google

Classes

AttributionSourceId

Identifier for the source contributing to this attribution.

BatchEmbedContentsRequest

Generates multiple embeddings from the model given input text in a synchronous call.

BatchEmbedContentsResponse

Response from calling {@link GenerativeModel.batchEmbedContents}.

CachedContent

Content that has been preprocessed and can be used in subsequent request to ModelService. Cached content can be only used with model it was created for.

Candidate

A response candidate generated from the model.

A Chunk is a subpart of a Document that is treated as an independent unit for the purposes of vector representation and storage. A Corpus can have a maximum of 1 million Chunks. Patch request has 'updateMask' query parameter: the list of fields to update. Currently, this only supports updating customMetadata and data.

ChunkBatchRequest<T>

ChunkData

Extracted data that represents the Chunk content.

CitationMetadata

Citation metadata that may be found on a {@link GenerateContentCandidate}.

CitationSource

A single citation source.

Condition

Filter condition applicable to a single key.

Content

The base structured datatype containing multi-part content of a message. It's a ChatMessage in a demonic form.

ContentEmbedding

A single content embedding.

ContentFilter

Content filtering metadata associated with processing a single request. ContentFilter contains a reason and an optional supporting string. The reason may be unspecified.

ContentPart

A datatype containing media that is part of a multi-part Content message.

A ContentPart consists of data which has an associated datatype.A ContentPart can only contain one of the accepted types in ContentPart.Data.

A ContentPart must have a fixed IANA MIME type identifying the type and subtype of the media if the InlineData field is filled with raw bytes.

CorporaQueryRequest

CorporaQueryResponse

Response from corpora.query containing a list of relevant chunks.

Corpus

A Corpus is a collection of Documents. A project can create up to 5 corpora.

CountTokensRequest

Params for calling {@link GenerativeModel.countTokens}

CountTokensResponse

Response from calling {@link GenerativeModel.countTokens}.

CreateChunkRequest

Request to create a Chunk.

CustomMetadataConverter

CustomMetadataValue

Dataset

Dataset for training or validation.

DeleteChunkRequest

Request to delete a Chunk.

Document

A Document is a collection of Chunks. A Corpus can have a maximum of 10,000 Documents.

EmbedContentRequest

Generates an embedding from the model given an input Content.

EmbedContentResponse

The response to an EmbedContentRequest.

File

A file uploaded to the API.

FileData

URI based data.

FileDataDict

FileDataType

FileResponse

FluentAPIExtensions

FunctionCallConverter

FunctionCallingConfig

Configuration for specifying function calling behavior.

FunctionExtensions

FunctionLibrary

GenerateAnswerRequest

Generates a response from the model given an input GenerateContentRequest. Input capabilities differ between models, including tuned models. See the model guide and tuning guide for details.

GenerateAnswerResponse

Response from the model for a grounded answer. If successful, the response body contains data with the following structure:

GenerateContentRequest

Generates a response from the model given an input GenerateContentRequest. Input capabilities differ between models, including tuned models.See the model guide and tuning guide for details.

GenerateContentRequest.Builder

GenerateContentResponse

Individual response from {@link GenerativeModel.generateContent} and {@link GenerativeModel.generateContentStream}. generateContentStream() will return one in each chunk until the stream is done.

GenerateImagesRequestConverter

GenerateMediaConfig

GenerateMediaRequest

Generate image(s) from a prompt using the Imagen 3 model, or generate a video from a prompt using the Veo model. Both Imagen 3 and Veo models are only available on the google paid tier.

GenerateMediaRequest.Builder

GenerateTextRequest

Generates a response from the model given an input message.

GenerateTextResponse

The response from the model, including candidate completions.

GeneratedImageBlob

GenerationConfig

Configuration options for model generation and outputs. Not all parameters may be configurable for every model.

GenerativeAI

GenerativeAIClientSettingsFactory

GenerativeAIRequest

GenerativeAIRequest.GenerativeAIRequestBuilder<TBuilder, TRequest>

GenerativeAISettings

GoogleModel

GoogleModelData

GroundingAttribution

Attribution for a source that contributed to an answer.

GroundingPassage

Passage included inline with a grounding configuration.

GroundingPassageId

Identifier for a part within a GroundingPassageId.

GroundingPassages

A repeated list of passages.

Hyperparameters

MetadataFilter

User provided filter to limit retrieval based on Chunk or Document level metadata values. Example (genre = drama OR genre = action): key = "document.custom_metadata.genre" conditions = [{stringValue = "drama", operation = EQUAL}, {stringValue = "action", operation = EQUAL}]

ModalityConverter

Permission

Permission resource grants user, group or the rest of the world access to the PaLM API resource (e.g. TunedModel or Corpus).

A role is a collection of permitted operations that allows users to perform specific actions on PaLM API resources. To make them available to users, groups, or service accounts, you assign roles. When you assign a role, you grant permissions that the role contains.

There are three concentric roles. Each role is a superset of the previous role's permitted operations:

- reader can use the resource (e.g. tuned model, corpus) for inference

- writer has reader's permissions and additionally can edit and share

- owner has writer's permissions and additionally can delete

PrebuiltVoiceConfig

PredictionResponse

RelevantChunk

The information for a chunk relevant to a query.

RequestExtensions

ResponseExtensions

SemanticRetrieverChunk

Identifier for a Chunk retrieved via Semantic Retriever specified in the GenerateAnswerRequest using SemanticRetrieverConfig.

SemanticRetrieverConfig

Configuration for retrieving grounding content from a Corpus or Document created using the Semantic Retriever API.

SpeechConfig

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.

Interfaces

IChunkRequest

Interface for all Chunk requests.

Namespace Glitch9.AIDevKit.Google

Classes

Interfaces

Enums