Namespace Google.Apis.FirebaseML.v2beta.Data

Classes

Date

Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp

GoogleCloudAiplatformV1beta1ApiAuth

The generic reusable api auth config. Deprecated. Please use AuthConfig (google/cloud/aiplatform/master/auth.proto) instead.

GoogleCloudAiplatformV1beta1ApiAuthApiKeyConfig

The API secret.

GoogleCloudAiplatformV1beta1AuthConfig

Auth configuration to run the extension.

GoogleCloudAiplatformV1beta1AuthConfigApiKeyConfig

Config for authentication with API key.

GoogleCloudAiplatformV1beta1AuthConfigGoogleServiceAccountConfig

Config for Google Service Account Authentication.

GoogleCloudAiplatformV1beta1AuthConfigHttpBasicAuthConfig

Config for HTTP Basic Authentication.

GoogleCloudAiplatformV1beta1AuthConfigOauthConfig

Config for user oauth.

GoogleCloudAiplatformV1beta1AuthConfigOidcConfig

Config for user OIDC auth.

GoogleCloudAiplatformV1beta1Blob

Content blob.

GoogleCloudAiplatformV1beta1Candidate

A response candidate generated from the model.

GoogleCloudAiplatformV1beta1Citation

Source attributions for content.

GoogleCloudAiplatformV1beta1CitationMetadata

A collection of source attributions for a piece of content.

GoogleCloudAiplatformV1beta1CodeExecutionResult

Result of executing the [ExecutableCode]. Only generated when using the [CodeExecution] tool, and always follows a part containing the [ExecutableCode].

GoogleCloudAiplatformV1beta1Content

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.

GoogleCloudAiplatformV1beta1CountTokensRequest

Request message for PredictionService.CountTokens.

GoogleCloudAiplatformV1beta1CountTokensResponse

Response message for PredictionService.CountTokens.

GoogleCloudAiplatformV1beta1DynamicRetrievalConfig

Describes the options to customize dynamic retrieval.

GoogleCloudAiplatformV1beta1EnterpriseWebSearch

Tool to search public web data, powered by Vertex AI Search and Sec4 compliance.

GoogleCloudAiplatformV1beta1ExecutableCode

Code generated by the model that is meant to be executed, and the result returned to the model. Generated when using the [CodeExecution] tool, in which the code will be automatically executed, and a corresponding [CodeExecutionResult] will also be generated.

GoogleCloudAiplatformV1beta1ExternalApi

Retrieve from data source powered by external API for grounding. The external API is not owned by Google, but need to follow the pre-defined API spec.

GoogleCloudAiplatformV1beta1ExternalApiElasticSearchParams

The search parameters to use for the ELASTIC_SEARCH spec.

GoogleCloudAiplatformV1beta1ExternalApiSimpleSearchParams

The search parameters to use for SIMPLE_SEARCH spec.

GoogleCloudAiplatformV1beta1FileData

URI based data.

GoogleCloudAiplatformV1beta1FunctionCall

A predicted [FunctionCall] returned from the model that contains a string representing the [FunctionDeclaration.name] and a structured JSON object containing the parameters and their values.

GoogleCloudAiplatformV1beta1FunctionCallingConfig

Function calling config.

GoogleCloudAiplatformV1beta1FunctionDeclaration

Structured representation of a function declaration as defined by the OpenAPI 3.0 specification. Included in this declaration are the function name, description, parameters and response type. This FunctionDeclaration is a representation of a block of code that can be used as a Tool by the model and executed by the client.

GoogleCloudAiplatformV1beta1FunctionResponse

The result output from a [FunctionCall] that contains a string representing the [FunctionDeclaration.name] and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a [FunctionCall] made based on model prediction.

GoogleCloudAiplatformV1beta1GenerateContentRequest

Request message for [PredictionService.GenerateContent].

GoogleCloudAiplatformV1beta1GenerateContentResponse

Response message for [PredictionService.GenerateContent].

GoogleCloudAiplatformV1beta1GenerateContentResponsePromptFeedback

Content filter results for a prompt sent in the request.

GoogleCloudAiplatformV1beta1GenerateContentResponseUsageMetadata

Usage metadata about response(s).

GoogleCloudAiplatformV1beta1GenerationConfig

Generation config.

GoogleCloudAiplatformV1beta1GenerationConfigModelConfig

Config for model selection.

GoogleCloudAiplatformV1beta1GenerationConfigRoutingConfig

The configuration for routing the request to a specific model.

GoogleCloudAiplatformV1beta1GenerationConfigRoutingConfigAutoRoutingMode

When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference.

GoogleCloudAiplatformV1beta1GenerationConfigRoutingConfigManualRoutingMode

When manual routing is set, the specified model will be used directly.

GoogleCloudAiplatformV1beta1GenerationConfigThinkingConfig

Config for thinking features.

GoogleCloudAiplatformV1beta1GoogleSearchRetrieval

Tool to retrieve public web data for grounding, powered by Google.

GoogleCloudAiplatformV1beta1GroundingChunk

Grounding chunk.

GoogleCloudAiplatformV1beta1GroundingChunkRetrievedContext

Chunk from context retrieved by the retrieval tools.

GoogleCloudAiplatformV1beta1GroundingChunkWeb

Chunk from the web.

GoogleCloudAiplatformV1beta1GroundingMetadata

Metadata returned to client when grounding is enabled.

GoogleCloudAiplatformV1beta1GroundingSupport

Grounding support.

GoogleCloudAiplatformV1beta1LogprobsResult

Logprobs Result

GoogleCloudAiplatformV1beta1LogprobsResultCandidate

Candidate for the logprobs token and score.

GoogleCloudAiplatformV1beta1LogprobsResultTopCandidates

Candidates with top log probabilities at each decoding step.

GoogleCloudAiplatformV1beta1ModalityTokenCount

Represents token counting info for a single modality.

GoogleCloudAiplatformV1beta1Part

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 inline_data or file_data field is filled with raw bytes.

GoogleCloudAiplatformV1beta1PrebuiltVoiceConfig

The configuration for the prebuilt speaker to use.

GoogleCloudAiplatformV1beta1RagChunk

A RagChunk includes the content of a chunk of a RagFile, and associated metadata.

GoogleCloudAiplatformV1beta1RagChunkPageSpan

Represents where the chunk starts and ends in the document.

GoogleCloudAiplatformV1beta1RagRetrievalConfig

Specifies the context retrieval config.

GoogleCloudAiplatformV1beta1RagRetrievalConfigFilter

Config for filters.

GoogleCloudAiplatformV1beta1RagRetrievalConfigHybridSearch

Config for Hybrid Search.

GoogleCloudAiplatformV1beta1RagRetrievalConfigRanking

Config for ranking and reranking.

GoogleCloudAiplatformV1beta1RagRetrievalConfigRankingLlmRanker

Config for LlmRanker.

GoogleCloudAiplatformV1beta1RagRetrievalConfigRankingRankService

Config for Rank Service.

GoogleCloudAiplatformV1beta1Retrieval

Defines a retrieval tool that model can call to access external knowledge.

GoogleCloudAiplatformV1beta1RetrievalConfig

Retrieval config.

GoogleCloudAiplatformV1beta1RetrievalMetadata

Metadata related to retrieval in the grounding flow.

GoogleCloudAiplatformV1beta1SafetyRating

Safety rating corresponding to the generated content.

GoogleCloudAiplatformV1beta1SafetySetting

Safety settings.

GoogleCloudAiplatformV1beta1Schema

Schema is used to define the format of input/output data. Represents a select subset of an OpenAPI 3.0 schema object. More fields may be added in the future as needed.

GoogleCloudAiplatformV1beta1SearchEntryPoint

Google search entry point.

GoogleCloudAiplatformV1beta1Segment

Segment of the content.

GoogleCloudAiplatformV1beta1SpeechConfig

The speech generation config.

GoogleCloudAiplatformV1beta1Tool

Tool details that the model may use to generate response. A Tool is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).

GoogleCloudAiplatformV1beta1ToolCodeExecution

Tool that executes code generated by the model, and automatically returns the result to the model. See also [ExecutableCode]and [CodeExecutionResult] which are input and output to this tool.

GoogleCloudAiplatformV1beta1ToolComputerUse

Tool to support computer use.

GoogleCloudAiplatformV1beta1ToolConfig

Tool config. This config is shared for all tools provided in the request.

GoogleCloudAiplatformV1beta1ToolGoogleSearch

GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.

GoogleCloudAiplatformV1beta1VertexAISearch

Retrieve from Vertex AI Search datastore or engine for grounding. datastore and engine are mutually exclusive. See https://cloud.google.com/products/agent-builder

GoogleCloudAiplatformV1beta1VertexAISearchDataStoreSpec

Define data stores within engine to filter on in a search call and configurations for those data stores. For more information, see https://cloud.google.com/generative-ai-app-builder/docs/reference/rpc/google.cloud.discoveryengine.v1#datastorespec

GoogleCloudAiplatformV1beta1VertexRagStore

Retrieve from Vertex RAG Store for grounding.

GoogleCloudAiplatformV1beta1VertexRagStoreRagResource

The definition of the Rag resource.

GoogleCloudAiplatformV1beta1VideoMetadata

Metadata describes the input video content.

GoogleCloudAiplatformV1beta1VoiceConfig

The configuration for the voice to use.

LatLng

An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges.

ModelOperationMetadata

This is returned in the longrunning operations for create/update.