Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::CountTokensRequest (v0.40.0)

Version 0.40.0

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

Request message for [PredictionService.CountTokens][].

Inherits

• Object

Extended By

• Google::Protobuf::MessageExts::ClassMethods

Includes

• Google::Protobuf::MessageExts

Methods

#contents

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

Returns

• (::Array<::Google::Cloud::AIPlatform::V1::Content>) — Required. Input content.

#contents=

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

Parameter

• value (::Array<::Google::Cloud::AIPlatform::V1::Content>) — Required. Input content.

Returns

• (::Array<::Google::Cloud::AIPlatform::V1::Content>) — Required. Input content.

#endpoint

def endpoint() -> ::String

Returns

• (::String) — Required. The name of the Endpoint requested to perform token counting. Format: projects/{project}/locations/{location}/endpoints/{endpoint}

#endpoint=

def endpoint=(value) -> ::String

Parameter

• value (::String) — Required. The name of the Endpoint requested to perform token counting. Format: projects/{project}/locations/{location}/endpoints/{endpoint}

Returns

• (::String) — Required. The name of the Endpoint requested to perform token counting. Format: projects/{project}/locations/{location}/endpoints/{endpoint}

#instances

def instances() -> ::Array<::Google::Protobuf::Value>

Returns

• (::Array<::Google::Protobuf::Value>) — Required. The instances that are the input to token counting call. Schema is identical to the prediction schema of the underlying model.

#instances=

def instances=(value) -> ::Array<::Google::Protobuf::Value>

Parameter

• value (::Array<::Google::Protobuf::Value>) — Required. The instances that are the input to token counting call. Schema is identical to the prediction schema of the underlying model.

Returns

• (::Array<::Google::Protobuf::Value>) — Required. The instances that are the input to token counting call. Schema is identical to the prediction schema of the underlying model.

#model

def model() -> ::String

Returns

• (::String) — Required. 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) — Required. The name of the publisher model requested to serve the prediction. Format: projects/{project}/locations/{location}/publishers/*/models/*

Returns

• (::String) — Required. The name of the publisher model requested to serve the prediction. Format: projects/{project}/locations/{location}/publishers/*/models/*