Interface CountTokensRequestOrBuilder (3.52.0)

public interface CountTokensRequestOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getContents(int index)

public abstract Content getContents(int index)

Optional. Input content.

repeated .google.cloud.aiplatform.v1beta1.Content contents = 4 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
index int
Returns
Type Description
Content

getContentsCount()

public abstract int getContentsCount()

Optional. Input content.

repeated .google.cloud.aiplatform.v1beta1.Content contents = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
int

getContentsList()

public abstract List<Content> getContentsList()

Optional. Input content.

repeated .google.cloud.aiplatform.v1beta1.Content contents = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
List<Content>

getContentsOrBuilder(int index)

public abstract ContentOrBuilder getContentsOrBuilder(int index)

Optional. Input content.

repeated .google.cloud.aiplatform.v1beta1.Content contents = 4 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
index int
Returns
Type Description
ContentOrBuilder

getContentsOrBuilderList()

public abstract List<? extends ContentOrBuilder> getContentsOrBuilderList()

Optional. Input content.

repeated .google.cloud.aiplatform.v1beta1.Content contents = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
List<? extends com.google.cloud.aiplatform.v1beta1.ContentOrBuilder>

getEndpoint()

public abstract String getEndpoint()

Required. The name of the Endpoint requested to perform token counting. Format: projects/{project}/locations/{location}/endpoints/{endpoint}

string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Returns
Type Description
String

The endpoint.

getEndpointBytes()

public abstract ByteString getEndpointBytes()

Required. The name of the Endpoint requested to perform token counting. Format: projects/{project}/locations/{location}/endpoints/{endpoint}

string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Returns
Type Description
ByteString

The bytes for endpoint.

getGenerationConfig()

public abstract GenerationConfig getGenerationConfig()

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

optional .google.cloud.aiplatform.v1beta1.GenerationConfig generation_config = 7 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
GenerationConfig

The generationConfig.

getGenerationConfigOrBuilder()

public abstract GenerationConfigOrBuilder getGenerationConfigOrBuilder()

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

optional .google.cloud.aiplatform.v1beta1.GenerationConfig generation_config = 7 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
GenerationConfigOrBuilder

getInstances(int index)

public abstract Value getInstances(int index)

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

repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
index int
Returns
Type Description
Value

getInstancesCount()

public abstract int getInstancesCount()

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

repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
int

getInstancesList()

public abstract List<Value> getInstancesList()

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

repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
List<Value>

getInstancesOrBuilder(int index)

public abstract ValueOrBuilder getInstancesOrBuilder(int index)

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

repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
index int
Returns
Type Description
ValueOrBuilder

getInstancesOrBuilderList()

public abstract List<? extends ValueOrBuilder> getInstancesOrBuilderList()

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

repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
List<? extends com.google.protobuf.ValueOrBuilder>

getModel()

public abstract String getModel()

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

string model = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
String

The model.

getModelBytes()

public abstract ByteString getModelBytes()

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

string model = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
ByteString

The bytes for model.

getSystemInstruction()

public abstract Content 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.

optional .google.cloud.aiplatform.v1beta1.Content system_instruction = 5 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
Content

The systemInstruction.

getSystemInstructionOrBuilder()

public abstract ContentOrBuilder getSystemInstructionOrBuilder()

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.

optional .google.cloud.aiplatform.v1beta1.Content system_instruction = 5 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
ContentOrBuilder

getTools(int index)

public abstract Tool getTools(int index)

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.

repeated .google.cloud.aiplatform.v1beta1.Tool tools = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
index int
Returns
Type Description
Tool

getToolsCount()

public abstract int getToolsCount()

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.

repeated .google.cloud.aiplatform.v1beta1.Tool tools = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
int

getToolsList()

public abstract List<Tool> getToolsList()

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.

repeated .google.cloud.aiplatform.v1beta1.Tool tools = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
List<Tool>

getToolsOrBuilder(int index)

public abstract ToolOrBuilder getToolsOrBuilder(int index)

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.

repeated .google.cloud.aiplatform.v1beta1.Tool tools = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
index int
Returns
Type Description
ToolOrBuilder

getToolsOrBuilderList()

public abstract List<? extends ToolOrBuilder> getToolsOrBuilderList()

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.

repeated .google.cloud.aiplatform.v1beta1.Tool tools = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
List<? extends com.google.cloud.aiplatform.v1beta1.ToolOrBuilder>

hasGenerationConfig()

public abstract boolean hasGenerationConfig()

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

optional .google.cloud.aiplatform.v1beta1.GenerationConfig generation_config = 7 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
boolean

Whether the generationConfig field is set.

hasSystemInstruction()

public abstract boolean hasSystemInstruction()

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.

optional .google.cloud.aiplatform.v1beta1.Content system_instruction = 5 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
boolean

Whether the systemInstruction field is set.