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

Version latest

• 0.61.0 (latest)
• 0.60.0
• 0.59.0
• 0.58.0
• 0.57.0
• 0.56.0
• 0.55.0
• 0.54.0
• 0.53.0
• 0.52.0
• 0.51.0
• 0.50.0
• 0.49.0
• 0.48.0
• 0.47.0
• 0.46.0
• 0.45.0
• 0.44.0
• 0.43.0
• 0.42.0
• 0.41.0
• 0.40.0
• 0.39.0
• 0.38.0
• 0.37.0
• 0.36.0
• 0.35.0
• 0.34.0
• 0.33.0
• 0.32.0
• 0.31.0
• 0.30.0
• 0.29.0
• 0.28.0
• 0.27.0
• 0.26.0
• 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
• 0.14.0
• 0.13.0
• 0.12.0
• 0.11.0
• 0.10.0
• 0.9.1
• 0.8.0
• 0.7.0
• 0.6.0
• 0.5.0
• 0.4.0
• 0.3.0
• 0.2.0
• 0.1.0

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>) — 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 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}

#generation_config

def generation_config() -> ::Google::Cloud::AIPlatform::V1::GenerationConfig

Returns

• (::Google::Cloud::AIPlatform::V1::GenerationConfig) — Optional. Generation config that the model will use to generate the response.

#generation_config=

def generation_config=(value) -> ::Google::Cloud::AIPlatform::V1::GenerationConfig

Parameter

• value (::Google::Cloud::AIPlatform::V1::GenerationConfig) — Optional. Generation config that the model will use to generate the response.

Returns

• (::Google::Cloud::AIPlatform::V1::GenerationConfig) — Optional. Generation config that the model will use to generate the response.

#instances

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

Returns

• (::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.

#instances=

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

Parameter

• value (::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

• (::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.

#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/*

#system_instruction

def system_instruction() -> ::Google::Cloud::AIPlatform::V1::Content

Returns

• (::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.

#system_instruction=

def system_instruction=(value) -> ::Google::Cloud::AIPlatform::V1::Content

Parameter

• value (::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.

Returns

• (::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

def tools() -> ::Array<::Google::Cloud::AIPlatform::V1::Tool>

Returns

• (::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.

#tools=

def tools=(value) -> ::Array<::Google::Cloud::AIPlatform::V1::Tool>

Parameter

• value (::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.

Returns

• (::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.