Interface CountTokensRequestOrBuilder (3.50.0)

Version 3.50.0

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public interface CountTokensRequestOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getContents(int index)

public abstract Content getContents(int index)

Optional. Input content.

repeated .google.cloud.aiplatform.v1.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.v1.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.v1.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.v1.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.v1.Content contents = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
List<? extends com.google.cloud.aiplatform.v1.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.

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.v1.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.v1.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.v1.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.v1.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.v1.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.v1.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.v1.Tool tools = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
List<? extends com.google.cloud.aiplatform.v1.ToolOrBuilder>

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.v1.Content system_instruction = 5 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
boolean	Whether the systemInstruction field is set.