View Source GoogleApi.AIPlatform.V1.Model.CloudAiNlLlmProtoServiceMessageMetadata (google_api_ai_platform v0.6.0)

Attributes

factualityDebugMetadata (type: GoogleApi.AIPlatform.V1.Model.LearningGenaiRootPerRequestProcessorDebugMetadataFactualityDebugMetadata.t, default: nil) - Factuality-related debug metadata.
inputFilterInfo (type: GoogleApi.AIPlatform.V1.Model.LearningServingLlmMessageMetadata.t, default: nil) - Filter metadata of the input messages.
modelRoutingDecision (type: GoogleApi.AIPlatform.V1.Model.LearningGenaiRootRoutingDecision.t, default: nil) - This score is generated by the router model to decide which model to use
outputFilterInfo (type: list(GoogleApi.AIPlatform.V1.Model.LearningServingLlmMessageMetadata.t), default: nil) - Filter metadata of the output messages.

Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Types

t()

@type t() :: %GoogleApi.AIPlatform.V1.Model.CloudAiNlLlmProtoServiceMessageMetadata{
  factualityDebugMetadata:
    GoogleApi.AIPlatform.V1.Model.LearningGenaiRootPerRequestProcessorDebugMetadataFactualityDebugMetadata.t()
    | nil,
  inputFilterInfo:
    GoogleApi.AIPlatform.V1.Model.LearningServingLlmMessageMetadata.t() | nil,
  modelRoutingDecision:
    GoogleApi.AIPlatform.V1.Model.LearningGenaiRootRoutingDecision.t() | nil,
  outputFilterInfo:
    [GoogleApi.AIPlatform.V1.Model.LearningServingLlmMessageMetadata.t()] | nil
}

Functions

decode(value, options)

@spec decode(struct(), keyword()) :: struct()

Unwrap a decoded JSON object into its complex fields.