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

GoogleCloudAiplatformV1beta1Blob

Content blob. It's preferred to send as text directly rather than raw bytes.

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]. 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.

GoogleCloudAiplatformV1beta1ExecutableCode

Code generated by the model that is meant to be executed, and the result returned to the model. Generated when using the [FunctionDeclaration] tool and [FunctionCallingConfig] mode is set to [Mode.CODE].

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.

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.

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.

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.

GoogleCloudAiplatformV1beta1Retrieval

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

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.

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).