Google Cloud Ai Platform V1 Client - Class CountTokensRequest (1.35.0)

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<Content>` Optional. Input content.
`↳ system_instruction`	`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<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`	`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<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
`Content\|null`

hasSystemInstruction

clearSystemInstruction

setSystemInstruction