Google Cloud Ai Platform V1 Client - Class ComputeTokensRequest (0.39.0)

Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class ComputeTokensRequest.

Request message for ComputeTokens RPC call.

Generated from protobuf message google.cloud.aiplatform.v1.ComputeTokensRequest

Namespace

Google \ Cloud \ AIPlatform \ V1

Methods

__construct

Constructor.

Parameters
Name
Description
data
array

Optional. Data for populating the Message object.

↳ endpoint
string

Required. The name of the Endpoint requested to get lists of tokens and token ids.

↳ instances
array< Google\Protobuf\Value >

Required. 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.

getEndpoint

Required. The name of the Endpoint requested to get lists of tokens and token ids.

Returns
Type
Description
string

setEndpoint

Required. The name of the Endpoint requested to get lists of tokens and token ids.

Parameter
Name
Description
var
string
Returns
Type
Description
$this

getInstances

Required. 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
Type
Description

setInstances

Required. 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.

Parameter
Name
Description
var
Returns
Type
Description
$this

static::build

Parameters
Name
Description
endpoint
string

Required. The name of the Endpoint requested to get lists of tokens and token ids. Please see Google\Cloud\AIPlatform\V1\LlmUtilityServiceClient::endpointName() for help formatting this field.

instances
array< Google\Protobuf\Value >

Required. 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.

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