Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::ComputeTokensRequest (v0.49.0)

Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::ComputeTokensRequest.

Request message for ComputeTokens RPC call.

Inherits

  • Object

Extended By

  • Google::Protobuf::MessageExts::ClassMethods

Includes

  • Google::Protobuf::MessageExts

Methods

#contents

def contents() -> ::Array<::Google::Cloud::AIPlatform::V1::Content>
Returns

#contents=

def contents=(value) -> ::Array<::Google::Cloud::AIPlatform::V1::Content>
Parameter
Returns

#endpoint

def endpoint() -> ::String
Returns
  • (::String) — Required. The name of the Endpoint requested to get lists of tokens and token ids.

#endpoint=

def endpoint=(value) -> ::String
Parameter
  • value (::String) — Required. The name of the Endpoint requested to get lists of tokens and token ids.
Returns
  • (::String) — Required. The name of the Endpoint requested to get lists of tokens and token ids.

#instances

def instances() -> ::Array<::Google::Protobuf::Value>
Returns
  • (::Array<::Google::Protobuf::Value>) — Optional. The instances that are the input to token computing API call. Schema is identical to the prediction schema of the text model, even for the non-text models, like chat models, or Codey models.

#instances=

def instances=(value) -> ::Array<::Google::Protobuf::Value>
Parameter
  • value (::Array<::Google::Protobuf::Value>) — Optional. The instances that are the input to token computing API call. Schema is identical to the prediction schema of the text model, even for the non-text models, like chat models, or Codey models.
Returns
  • (::Array<::Google::Protobuf::Value>) — Optional. The instances that are the input to token computing API call. Schema is identical to the prediction schema of the text model, even for the non-text models, like chat models, or Codey models.

#model

def model() -> ::String
Returns
  • (::String) — Optional. The name of the publisher model requested to serve the prediction. Format: projects/{project}/locations/{location}/publishers//models/

#model=

def model=(value) -> ::String
Parameter
  • value (::String) — Optional. The name of the publisher model requested to serve the prediction. Format: projects/{project}/locations/{location}/publishers//models/
Returns
  • (::String) — Optional. The name of the publisher model requested to serve the prediction. Format: projects/{project}/locations/{location}/publishers//models/