Class CountTokensRequest.Builder (3.52.0)

public static final class CountTokensRequest.Builder extends GeneratedMessageV3.Builder<CountTokensRequest.Builder> implements CountTokensRequestOrBuilder

Request message for [PredictionService.CountTokens][].

Protobuf type google.cloud.aiplatform.v1.CountTokensRequest

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > CountTokensRequest.Builder

Implements

CountTokensRequestOrBuilder

Inherited Members

AbstractMessage.Builder.findInitializationErrors()

AbstractMessage.Builder.getInitializationErrorString()

AbstractMessage.Builder.internalMergeFrom(AbstractMessageLite)

AbstractMessage.Builder.mergeFrom(byte[])

AbstractMessage.Builder.mergeFrom(byte[],ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(byte[],int,int)

AbstractMessage.Builder.mergeFrom(byte[],int,int,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(ByteString)

AbstractMessage.Builder.mergeFrom(ByteString,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(CodedInputStream)

AbstractMessage.Builder.mergeFrom(CodedInputStream,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(Message)

AbstractMessage.Builder.mergeFrom(InputStream)

AbstractMessage.Builder.mergeFrom(InputStream,ExtensionRegistryLite)

AbstractMessage.Builder.newUninitializedMessageException(Message)

AbstractMessage.Builder.toString()

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,Collection<? super T>)

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,List<? super T>)

AbstractMessageLite.Builder.internalMergeFrom(MessageType)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream,ExtensionRegistryLite)

AbstractMessageLite.Builder.mergeFrom(MessageLite)

AbstractMessageLite.Builder.newUninitializedMessageException(MessageLite)

GeneratedMessageV3.Builder.addRepeatedField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.clear()

GeneratedMessageV3.Builder.clearField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.clearOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.clone()

GeneratedMessageV3.Builder.getAllFields()

GeneratedMessageV3.Builder.getDescriptorForType()

GeneratedMessageV3.Builder.getField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getFieldBuilder(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.getParentForChildren()

GeneratedMessageV3.Builder.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldBuilder(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldCount(Descriptors.FieldDescriptor)

com.google.protobuf.GeneratedMessageV3.Builder.getUnknownFieldSetBuilder()

GeneratedMessageV3.Builder.getUnknownFields()

GeneratedMessageV3.Builder.hasField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.internalGetFieldAccessorTable()

GeneratedMessageV3.Builder.internalGetMapField(int)

com.google.protobuf.GeneratedMessageV3.Builder.internalGetMapFieldReflection(int)

GeneratedMessageV3.Builder.internalGetMutableMapField(int)

com.google.protobuf.GeneratedMessageV3.Builder.internalGetMutableMapFieldReflection(int)

GeneratedMessageV3.Builder.isClean()

GeneratedMessageV3.Builder.isInitialized()

GeneratedMessageV3.Builder.markClean()

GeneratedMessageV3.Builder.mergeUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownVarintField(int,int)

GeneratedMessageV3.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.onBuilt()

GeneratedMessageV3.Builder.onChanged()

com.google.protobuf.GeneratedMessageV3.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)

GeneratedMessageV3.Builder.setField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.setRepeatedField(Descriptors.FieldDescriptor,int,Object)

com.google.protobuf.GeneratedMessageV3.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)

GeneratedMessageV3.Builder.setUnknownFields(UnknownFieldSet)

GeneratedMessageV3.Builder.setUnknownFieldsProto3(UnknownFieldSet)

Object.equals(Object)

Object.finalize()

Object.getClass()

Object.hashCode()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns
Type	Description
`Descriptor`

Methods

addAllContents(Iterable<? extends Content> values)

public CountTokensRequest.Builder addAllContents(Iterable<? extends Content> values)

Optional. Input content.

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

Parameter
Name	Description
`values`	`Iterable<? extends com.google.cloud.aiplatform.v1.Content>`

Returns
Type	Description
`CountTokensRequest.Builder`

addAllInstances(Iterable<? extends Value> values)

public CountTokensRequest.Builder addAllInstances(Iterable<? extends Value> values)

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
`values`	`Iterable<? extends com.google.protobuf.Value>`

Returns
Type	Description
`CountTokensRequest.Builder`

addAllTools(Iterable<? extends Tool> values)

public CountTokensRequest.Builder addAllTools(Iterable<? extends Tool> values)

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
`values`	`Iterable<? extends com.google.cloud.aiplatform.v1.Tool>`

Returns
Type	Description
`CountTokensRequest.Builder`

addContents(Content value)

public CountTokensRequest.Builder addContents(Content value)

Optional. Input content.

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

Parameter
Name	Description
`value`	`Content`

Returns
Type	Description
`CountTokensRequest.Builder`

addContents(Content.Builder builderForValue)

public CountTokensRequest.Builder addContents(Content.Builder builderForValue)

Optional. Input content.

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

Parameter
Name	Description
`builderForValue`	`Content.Builder`

Returns
Type	Description
`CountTokensRequest.Builder`

addContents(int index, Content value)

public CountTokensRequest.Builder addContents(int index, Content value)

Optional. Input content.

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

Parameters
Name	Description
`index`	`int`
`value`	`Content`

Returns
Type	Description
`CountTokensRequest.Builder`

addContents(int index, Content.Builder builderForValue)

public CountTokensRequest.Builder addContents(int index, Content.Builder builderForValue)

Optional. Input content.

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

Parameters
Name	Description
`index`	`int`
`builderForValue`	`Content.Builder`

Returns
Type	Description
`CountTokensRequest.Builder`

addContentsBuilder()

public Content.Builder addContentsBuilder()

Optional. Input content.

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

Returns
Type	Description
`Content.Builder`

addContentsBuilder(int index)

public Content.Builder addContentsBuilder(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.Builder`

addInstances(Value value)

public CountTokensRequest.Builder addInstances(Value value)

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
`value`	`Value`

Returns
Type	Description
`CountTokensRequest.Builder`

addInstances(Value.Builder builderForValue)

public CountTokensRequest.Builder addInstances(Value.Builder builderForValue)

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
`builderForValue`	`Builder`

Returns
Type	Description
`CountTokensRequest.Builder`

addInstances(int index, Value value)

public CountTokensRequest.Builder addInstances(int index, Value value)

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];

Parameters
Name	Description
`index`	`int`
`value`	`Value`

Returns
Type	Description
`CountTokensRequest.Builder`

addInstances(int index, Value.Builder builderForValue)

public CountTokensRequest.Builder addInstances(int index, Value.Builder builderForValue)

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];

Parameters
Name	Description
`index`	`int`
`builderForValue`	`Builder`

Returns
Type	Description
`CountTokensRequest.Builder`

addInstancesBuilder()

public Value.Builder addInstancesBuilder()

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
`Builder`

addInstancesBuilder(int index)

public Value.Builder addInstancesBuilder(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
`Builder`

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public CountTokensRequest.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
`field`	`FieldDescriptor`
`value`	`Object`

Returns
Type	Description
`CountTokensRequest.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.addRepeatedField(Descriptors.FieldDescriptor field, Object value)

addTools(Tool value)

public CountTokensRequest.Builder addTools(Tool value)

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
`value`	`Tool`

Returns
Type	Description
`CountTokensRequest.Builder`

addTools(Tool.Builder builderForValue)

public CountTokensRequest.Builder addTools(Tool.Builder builderForValue)

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
`builderForValue`	`Tool.Builder`

Returns
Type	Description
`CountTokensRequest.Builder`

addTools(int index, Tool value)

public CountTokensRequest.Builder addTools(int index, Tool value)

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];

Parameters
Name	Description
`index`	`int`
`value`	`Tool`

Returns
Type	Description
`CountTokensRequest.Builder`

addTools(int index, Tool.Builder builderForValue)

public CountTokensRequest.Builder addTools(int index, Tool.Builder builderForValue)

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];

Parameters
Name	Description
`index`	`int`
`builderForValue`	`Tool.Builder`

Returns
Type	Description
`CountTokensRequest.Builder`

addToolsBuilder()

public Tool.Builder addToolsBuilder()

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
`Tool.Builder`

addToolsBuilder(int index)

public Tool.Builder addToolsBuilder(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.Builder`

build()

public CountTokensRequest build()

Returns
Type	Description
`CountTokensRequest`

buildPartial()

public CountTokensRequest buildPartial()

Returns
Type	Description
`CountTokensRequest`

clear()

public CountTokensRequest.Builder clear()

Returns
Type	Description
`CountTokensRequest.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearContents()

public CountTokensRequest.Builder clearContents()

Optional. Input content.

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

Returns
Type	Description
`CountTokensRequest.Builder`

clearEndpoint()

public CountTokensRequest.Builder clearEndpoint()

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
`CountTokensRequest.Builder`	This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

public CountTokensRequest.Builder clearField(Descriptors.FieldDescriptor field)

Parameter
Name	Description
`field`	`FieldDescriptor`

Returns
Type	Description
`CountTokensRequest.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearField(Descriptors.FieldDescriptor field)

clearGenerationConfig()

public CountTokensRequest.Builder clearGenerationConfig()

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

optional .google.cloud.aiplatform.v1.GenerationConfig generation_config = 7 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
`CountTokensRequest.Builder`

clearInstances()

public CountTokensRequest.Builder clearInstances()

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
`CountTokensRequest.Builder`

clearModel()

public CountTokensRequest.Builder clearModel()

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
`CountTokensRequest.Builder`	This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public CountTokensRequest.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter
Name	Description
`oneof`	`OneofDescriptor`

Returns
Type	Description
`CountTokensRequest.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearOneof(Descriptors.OneofDescriptor oneof)

clearSystemInstruction()

public CountTokensRequest.Builder clearSystemInstruction()

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
`CountTokensRequest.Builder`

clearTools()

public CountTokensRequest.Builder clearTools()

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
`CountTokensRequest.Builder`

clone()

public CountTokensRequest.Builder clone()

Returns
Type	Description
`CountTokensRequest.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

getContents(int index)

public 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`

getContentsBuilder(int index)

public Content.Builder getContentsBuilder(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.Builder`

getContentsBuilderList()

public List<Content.Builder> getContentsBuilderList()

Optional. Input content.

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

Returns
Type	Description
`List<Builder>`

getContentsCount()

public int getContentsCount()

Optional. Input content.

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

Returns
Type	Description
`int`

getContentsList()

public 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 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 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>`

getDefaultInstanceForType()

public CountTokensRequest getDefaultInstanceForType()

Returns
Type	Description
`CountTokensRequest`

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
`Descriptor`

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getEndpoint()

public 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 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 GenerationConfig getGenerationConfig()

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

optional .google.cloud.aiplatform.v1.GenerationConfig generation_config = 7 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
`GenerationConfig`	The generationConfig.

getGenerationConfigBuilder()

public GenerationConfig.Builder getGenerationConfigBuilder()

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

optional .google.cloud.aiplatform.v1.GenerationConfig generation_config = 7 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
`GenerationConfig.Builder`

getGenerationConfigOrBuilder()

public GenerationConfigOrBuilder getGenerationConfigOrBuilder()

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

optional .google.cloud.aiplatform.v1.GenerationConfig generation_config = 7 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
`GenerationConfigOrBuilder`

getInstances(int index)

public 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`

getInstancesBuilder(int index)

public Value.Builder getInstancesBuilder(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
`Builder`

getInstancesBuilderList()

public List<Value.Builder> getInstancesBuilderList()

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<Builder>`

getInstancesCount()

public 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 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 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 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 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 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 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.

getSystemInstructionBuilder()

public Content.Builder getSystemInstructionBuilder()

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.Builder`

getSystemInstructionOrBuilder()

public 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 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`

getToolsBuilder(int index)

public Tool.Builder getToolsBuilder(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.Builder`

getToolsBuilderList()

public List<Tool.Builder> getToolsBuilderList()

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<Builder>`

getToolsCount()

public 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 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 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 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>`

hasGenerationConfig()

public boolean hasGenerationConfig()

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

optional .google.cloud.aiplatform.v1.GenerationConfig generation_config = 7 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
`boolean`	Whether the generationConfig field is set.

hasSystemInstruction()

public 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.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
`FieldAccessorTable`

Overrides

GeneratedMessageV3.Builder<BuilderType>.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
`boolean`

Overrides

GeneratedMessageV3.Builder<BuilderType>.isInitialized()

mergeFrom(CountTokensRequest other)

public CountTokensRequest.Builder mergeFrom(CountTokensRequest other)

Parameter
Name	Description
`other`	`CountTokensRequest`

Returns
Type	Description
`CountTokensRequest.Builder`

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public CountTokensRequest.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
`input`	`CodedInputStream`
`extensionRegistry`	`ExtensionRegistryLite`

Returns
Type	Description
`CountTokensRequest.Builder`

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Exceptions
Type	Description
`IOException`

mergeFrom(Message other)

public CountTokensRequest.Builder mergeFrom(Message other)

Parameter
Name	Description
`other`	`Message`

Returns
Type	Description
`CountTokensRequest.Builder`

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(Message other)

mergeGenerationConfig(GenerationConfig value)

public CountTokensRequest.Builder mergeGenerationConfig(GenerationConfig value)

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

optional .google.cloud.aiplatform.v1.GenerationConfig generation_config = 7 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
`value`	`GenerationConfig`

Returns
Type	Description
`CountTokensRequest.Builder`

mergeSystemInstruction(Content value)

public CountTokensRequest.Builder mergeSystemInstruction(Content value)

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];

Parameter
Name	Description
`value`	`Content`

Returns
Type	Description
`CountTokensRequest.Builder`

mergeUnknownFields(UnknownFieldSet unknownFields)

public final CountTokensRequest.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
`unknownFields`	`UnknownFieldSet`

Returns
Type	Description
`CountTokensRequest.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.mergeUnknownFields(UnknownFieldSet unknownFields)

removeContents(int index)

public CountTokensRequest.Builder removeContents(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
`CountTokensRequest.Builder`

removeInstances(int index)

public CountTokensRequest.Builder removeInstances(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
`CountTokensRequest.Builder`

removeTools(int index)

public CountTokensRequest.Builder removeTools(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
`CountTokensRequest.Builder`

setContents(int index, Content value)

public CountTokensRequest.Builder setContents(int index, Content value)

Optional. Input content.

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

Parameters
Name	Description
`index`	`int`
`value`	`Content`

Returns
Type	Description
`CountTokensRequest.Builder`

setContents(int index, Content.Builder builderForValue)

public CountTokensRequest.Builder setContents(int index, Content.Builder builderForValue)

Optional. Input content.

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

Parameters
Name	Description
`index`	`int`
`builderForValue`	`Content.Builder`

Returns
Type	Description
`CountTokensRequest.Builder`

setEndpoint(String value)

public CountTokensRequest.Builder setEndpoint(String value)

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) = { ... }

Parameter
Name	Description
`value`	`String` The endpoint to set.

Returns
Type	Description
`CountTokensRequest.Builder`	This builder for chaining.

setEndpointBytes(ByteString value)

public CountTokensRequest.Builder setEndpointBytes(ByteString value)

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) = { ... }

Parameter
Name	Description
`value`	`ByteString` The bytes for endpoint to set.

Returns
Type	Description
`CountTokensRequest.Builder`	This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

public CountTokensRequest.Builder setField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
`field`	`FieldDescriptor`
`value`	`Object`

Returns
Type	Description
`CountTokensRequest.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.setField(Descriptors.FieldDescriptor field, Object value)

setGenerationConfig(GenerationConfig value)

public CountTokensRequest.Builder setGenerationConfig(GenerationConfig value)

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

optional .google.cloud.aiplatform.v1.GenerationConfig generation_config = 7 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
`value`	`GenerationConfig`

Returns
Type	Description
`CountTokensRequest.Builder`

setGenerationConfig(GenerationConfig.Builder builderForValue)

public CountTokensRequest.Builder setGenerationConfig(GenerationConfig.Builder builderForValue)

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

optional .google.cloud.aiplatform.v1.GenerationConfig generation_config = 7 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
`builderForValue`	`GenerationConfig.Builder`

Returns
Type	Description
`CountTokensRequest.Builder`

setInstances(int index, Value value)

public CountTokensRequest.Builder setInstances(int index, Value value)

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];

Parameters
Name	Description
`index`	`int`
`value`	`Value`

Returns
Type	Description
`CountTokensRequest.Builder`

setInstances(int index, Value.Builder builderForValue)

public CountTokensRequest.Builder setInstances(int index, Value.Builder builderForValue)

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];

Parameters
Name	Description
`index`	`int`
`builderForValue`	`Builder`

Returns
Type	Description
`CountTokensRequest.Builder`

setModel(String value)

public CountTokensRequest.Builder setModel(String value)

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];

Parameter
Name	Description
`value`	`String` The model to set.

Returns
Type	Description
`CountTokensRequest.Builder`	This builder for chaining.

setModelBytes(ByteString value)

public CountTokensRequest.Builder setModelBytes(ByteString value)

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];

Parameter
Name	Description
`value`	`ByteString` The bytes for model to set.

Returns
Type	Description
`CountTokensRequest.Builder`	This builder for chaining.

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public CountTokensRequest.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

Parameters
Name	Description
`field`	`FieldDescriptor`
`index`	`int`
`value`	`Object`

Returns
Type	Description
`CountTokensRequest.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

setSystemInstruction(Content value)

public CountTokensRequest.Builder setSystemInstruction(Content value)

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];

Parameter
Name	Description
`value`	`Content`

Returns
Type	Description
`CountTokensRequest.Builder`

setSystemInstruction(Content.Builder builderForValue)

public CountTokensRequest.Builder setSystemInstruction(Content.Builder builderForValue)

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];

Parameter
Name	Description
`builderForValue`	`Content.Builder`

Returns
Type	Description
`CountTokensRequest.Builder`

setTools(int index, Tool value)

public CountTokensRequest.Builder setTools(int index, Tool value)

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];

Parameters
Name	Description
`index`	`int`
`value`	`Tool`

Returns
Type	Description
`CountTokensRequest.Builder`

setTools(int index, Tool.Builder builderForValue)

public CountTokensRequest.Builder setTools(int index, Tool.Builder builderForValue)

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];

Parameters
Name	Description
`index`	`int`
`builderForValue`	`Tool.Builder`

Returns
Type	Description
`CountTokensRequest.Builder`

setUnknownFields(UnknownFieldSet unknownFields)

public final CountTokensRequest.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
`unknownFields`	`UnknownFieldSet`

Returns
Type	Description
`CountTokensRequest.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.setUnknownFields(UnknownFieldSet unknownFields)