Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::ComputeTokensRequest (v0.61.0)

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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

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

#contents=

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

Parameter

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

Returns

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

#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/