Google Cloud Ai Platform V1 Client - Class CountTokensRequest (1.11.0)

Version latest

• 1.11.0 (latest)
• 1.10.0
• 1.9.0
• 1.8.0
• 1.7.0
• 1.6.0
• 1.5.0
• 1.4.0
• 1.3.0
• 1.2.0
• 1.1.0
• 1.0.0
• 0.39.0
• 0.38.0
• 0.37.1
• 0.32.0
• 0.31.0
• 0.30.0
• 0.29.0
• 0.28.0
• 0.27.0
• 0.26.2
• 0.25.0
• 0.24.0
• 0.23.0
• 0.22.0
• 0.21.0
• 0.20.0
• 0.19.0
• 0.18.0
• 0.17.0
• 0.16.0
• 0.15.0
• 0.13.0
• 0.12.0
• 0.11.1
• 0.10.0

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

Request message for PredictionService.CountTokens.

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

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 perform token counting. Format: projects/{project}/locations/{location}/endpoints/{endpoint}
↳ model	string Optional. The name of the publisher model requested to serve the prediction. Format: projects/{project}/locations/{location}/publishers/*/models/*
↳ instances	array<Google\Protobuf\Value> Optional. The instances that are the input to token counting call. Schema is identical to the prediction schema of the underlying model.
↳ contents	array<Google\Cloud\AIPlatform\V1\Content> Optional. Input content.
↳ system_instruction	Google\Cloud\AIPlatform\V1\Content Optional. The user provided system instructions for the model. Note: only text should be used in parts and content in each part will be in a separate paragraph.
↳ tools	array<Google\Cloud\AIPlatform\V1\Tool> Optional. A list of Tools the model may use to generate the next response. A Tool is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model.
↳ generation_config	Google\Cloud\AIPlatform\V1\GenerationConfig Optional. Generation config that the model will use to generate the response.

getEndpoint

Required. The name of the Endpoint requested to perform token counting.

Format: projects/{project}/locations/{location}/endpoints/{endpoint}

Returns
Type	Description
string

setEndpoint

Required. The name of the Endpoint requested to perform token counting.

Format: projects/{project}/locations/{location}/endpoints/{endpoint}

Parameter
Name	Description
var	string

Returns
Type	Description
$this

getModel

Optional. The name of the publisher model requested to serve the prediction. Format: projects/{project}/locations/{location}/publishers/*/models/*

Returns
Type	Description
string

setModel

Optional. The name of the publisher model requested to serve the prediction. Format: projects/{project}/locations/{location}/publishers/*/models/*

Parameter
Name	Description
var	string

Returns
Type	Description
$this

getInstances

Optional. The instances that are the input to token counting call.

Schema is identical to the prediction schema of the underlying model.

Returns
Type	Description
Google\Protobuf\Internal\RepeatedField

setInstances

Optional. The instances that are the input to token counting call.

Schema is identical to the prediction schema of the underlying model.

Parameter
Name	Description
var	array<Google\Protobuf\Value>

Returns
Type	Description
$this

getContents

Optional. Input content.

Returns
Type	Description
Google\Protobuf\Internal\RepeatedField

setContents

Optional. Input content.

Parameter
Name	Description
var	array<Google\Cloud\AIPlatform\V1\Content>

Returns
Type	Description
$this

getSystemInstruction

Optional. The user provided system instructions for the model.

Note: only text should be used in parts and content in each part will be in a separate paragraph.

Returns
Type	Description
Google\Cloud\AIPlatform\V1\Content|null

hasSystemInstruction

clearSystemInstruction

setSystemInstruction

Optional. The user provided system instructions for the model.

Note: only text should be used in parts and content in each part will be in a separate paragraph.

Parameter
Name	Description
var	Google\Cloud\AIPlatform\V1\Content

Returns
Type	Description
$this

getTools

Optional. A list of Tools the model may use to generate the next response.

A Tool is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model.

Returns
Type	Description
Google\Protobuf\Internal\RepeatedField

setTools

Optional. A list of Tools the model may use to generate the next response.

A Tool is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model.

Parameter
Name	Description
var	array<Google\Cloud\AIPlatform\V1\Tool>

Returns
Type	Description
$this

getGenerationConfig

Optional. Generation config that the model will use to generate the response.

Returns
Type	Description
Google\Cloud\AIPlatform\V1\GenerationConfig|null

hasGenerationConfig

clearGenerationConfig

setGenerationConfig

Optional. Generation config that the model will use to generate the response.

Parameter
Name	Description
var	Google\Cloud\AIPlatform\V1\GenerationConfig

Returns
Type	Description
$this

static::build

Parameters
Name	Description
endpoint	string Required. The name of the Endpoint requested to perform token counting. Format: projects/{project}/locations/{location}/endpoints/{endpoint} Please see Google\Cloud\AIPlatform\V1\LlmUtilityServiceClient::endpointName() for help formatting this field.
instances	array<Google\Protobuf\Value> Optional. The instances that are the input to token counting call. Schema is identical to the prediction schema of the underlying model.

Returns
Type	Description
Google\Cloud\AIPlatform\V1\CountTokensRequest