Class GoogleCloudAiplatformV1beta1CountTokensRequest

Request message for PredictionService.CountTokens.

Inheritance

object

GoogleCloudAiplatformV1beta1CountTokensRequest

Implements

IDirectResponseSchema

Inherited Members

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Namespace: Google.Apis.FirebaseML.v2beta.Data

Assembly: Google.Apis.FirebaseML.v2beta.dll

Syntax

public class GoogleCloudAiplatformV1beta1CountTokensRequest : IDirectResponseSchema

Properties

Contents

Optional. Input content.

Declaration

[JsonProperty("contents")]
public virtual IList<GoogleCloudAiplatformV1beta1Content> Contents { get; set; }

Property Value

Type	Description
IList<GoogleCloudAiplatformV1beta1Content>

ETag

The ETag of the item.

Declaration

public virtual string ETag { get; set; }

Property Value

Type	Description
string

GenerationConfig

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

Declaration

[JsonProperty("generationConfig")]
public virtual GoogleCloudAiplatformV1beta1GenerationConfig GenerationConfig { get; set; }

Property Value

Type	Description
GoogleCloudAiplatformV1beta1GenerationConfig

Instances

Optional. The instances that are the input to token counting call. Schema is identical to the prediction schema of the underlying model.

Declaration

[JsonProperty("instances")]
public virtual IList<object> Instances { get; set; }

Property Value

Type	Description
IList<object>

Model

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

Declaration

[JsonProperty("model")]
public virtual string Model { get; set; }

Property Value

Type	Description
string

SystemInstruction

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.

Declaration

[JsonProperty("systemInstruction")]
public virtual GoogleCloudAiplatformV1beta1Content SystemInstruction { get; set; }

Property Value

Type	Description
GoogleCloudAiplatformV1beta1Content

Tools

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.

Declaration

[JsonProperty("tools")]
public virtual IList<GoogleCloudAiplatformV1beta1Tool> Tools { get; set; }

Property Value

Type	Description
IList<GoogleCloudAiplatformV1beta1Tool>

Implements

IDirectResponseSchema