Class ComputeTokensRequest.Builder (3.50.0)

Version 3.50.0

• 3.52.0 (latest)
• 3.50.0
• 3.49.0
• 3.48.0
• 3.47.0
• 3.46.0
• 3.45.0
• 3.44.0
• 3.43.0
• 3.42.0
• 3.41.0
• 3.40.0
• 3.38.0
• 3.37.0
• 3.36.0
• 3.35.0
• 3.34.0
• 3.33.0
• 3.32.0
• 3.31.0
• 3.30.0
• 3.29.0
• 3.28.0
• 3.25.0
• 3.24.0
• 3.23.0
• 3.22.0
• 3.21.0
• 3.20.0
• 3.19.0
• 3.18.0
• 3.17.0
• 3.16.0
• 3.15.0
• 3.14.0
• 3.13.0
• 3.12.0
• 3.11.0
• 3.10.0
• 3.9.0
• 3.8.0
• 3.7.0
• 3.6.0
• 3.5.0
• 3.4.2
• 3.3.0
• 3.2.0
• 3.0.0
• 2.9.8
• 2.8.9
• 2.7.4
• 2.5.3
• 2.4.0

public static final class ComputeTokensRequest.Builder extends GeneratedMessageV3.Builder<ComputeTokensRequest.Builder> implements ComputeTokensRequestOrBuilder

Request message for ComputeTokens RPC call.

Protobuf type google.cloud.aiplatform.v1.ComputeTokensRequest

Inheritance

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

Implements

ComputeTokensRequestOrBuilder

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 ComputeTokensRequest.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
ComputeTokensRequest.Builder

addAllInstances(Iterable<? extends Value> values)

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

Optional. The instances that are the input to token computing API call. Schema is identical to the prediction schema of the text model, even for the non-text models, like chat models, or Codey models.

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

Parameter
Name	Description
values	Iterable<? extends com.google.protobuf.Value>

Returns
Type	Description
ComputeTokensRequest.Builder

addContents(Content value)

public ComputeTokensRequest.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
ComputeTokensRequest.Builder

addContents(Content.Builder builderForValue)

public ComputeTokensRequest.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
ComputeTokensRequest.Builder

addContents(int index, Content value)

public ComputeTokensRequest.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
ComputeTokensRequest.Builder

addContents(int index, Content.Builder builderForValue)

public ComputeTokensRequest.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
ComputeTokensRequest.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 ComputeTokensRequest.Builder addInstances(Value value)

Optional. The instances that are the input to token computing API call. Schema is identical to the prediction schema of the text model, even for the non-text models, like chat models, or Codey models.

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

Parameter
Name	Description
value	Value

Returns
Type	Description
ComputeTokensRequest.Builder

addInstances(Value.Builder builderForValue)

public ComputeTokensRequest.Builder addInstances(Value.Builder builderForValue)

Optional. The instances that are the input to token computing API call. Schema is identical to the prediction schema of the text model, even for the non-text models, like chat models, or Codey models.

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

Parameter
Name	Description
builderForValue	Builder

Returns
Type	Description
ComputeTokensRequest.Builder

addInstances(int index, Value value)

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

Optional. The instances that are the input to token computing API call. Schema is identical to the prediction schema of the text model, even for the non-text models, like chat models, or Codey models.

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

Parameters
Name	Description
index	int
value	Value

Returns
Type	Description
ComputeTokensRequest.Builder

addInstances(int index, Value.Builder builderForValue)

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

Optional. The instances that are the input to token computing API call. Schema is identical to the prediction schema of the text model, even for the non-text models, like chat models, or Codey models.

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

Parameters
Name	Description
index	int
builderForValue	Builder

Returns
Type	Description
ComputeTokensRequest.Builder

addInstancesBuilder()

public Value.Builder addInstancesBuilder()

Optional. The instances that are the input to token computing API call. Schema is identical to the prediction schema of the text model, even for the non-text models, like chat models, or Codey models.

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 computing API call. Schema is identical to the prediction schema of the text model, even for the non-text models, like chat models, or Codey models.

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 ComputeTokensRequest.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
ComputeTokensRequest.Builder

Overrides

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

build()

public ComputeTokensRequest build()

Returns
Type	Description
ComputeTokensRequest

buildPartial()

public ComputeTokensRequest buildPartial()

Returns
Type	Description
ComputeTokensRequest

clear()

public ComputeTokensRequest.Builder clear()

Returns
Type	Description
ComputeTokensRequest.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearContents()

public ComputeTokensRequest.Builder clearContents()

Optional. Input content.

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

Returns
Type	Description
ComputeTokensRequest.Builder

clearEndpoint()

public ComputeTokensRequest.Builder clearEndpoint()

Required. The name of the Endpoint requested to get lists of tokens and token ids.

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

Returns
Type	Description
ComputeTokensRequest.Builder	This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

public ComputeTokensRequest.Builder clearField(Descriptors.FieldDescriptor field)

Parameter
Name	Description
field	FieldDescriptor

Returns
Type	Description
ComputeTokensRequest.Builder

Overrides

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

clearInstances()

public ComputeTokensRequest.Builder clearInstances()

Optional. The instances that are the input to token computing API call. Schema is identical to the prediction schema of the text model, even for the non-text models, like chat models, or Codey models.

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

Returns
Type	Description
ComputeTokensRequest.Builder

clearModel()

public ComputeTokensRequest.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
ComputeTokensRequest.Builder	This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public ComputeTokensRequest.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter
Name	Description
oneof	OneofDescriptor

Returns
Type	Description
ComputeTokensRequest.Builder

Overrides

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

clone()

public ComputeTokensRequest.Builder clone()

Returns
Type	Description
ComputeTokensRequest.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 ComputeTokensRequest getDefaultInstanceForType()

Returns
Type	Description
ComputeTokensRequest

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 get lists of tokens and token ids.

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 get lists of tokens and token ids.

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

Returns
Type	Description
ByteString	The bytes for endpoint.

getInstances(int index)

public Value getInstances(int index)

Optional. The instances that are the input to token computing API call. Schema is identical to the prediction schema of the text model, even for the non-text models, like chat models, or Codey models.

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 computing API call. Schema is identical to the prediction schema of the text model, even for the non-text models, like chat models, or Codey models.

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 computing API call. Schema is identical to the prediction schema of the text model, even for the non-text models, like chat models, or Codey models.

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 computing API call. Schema is identical to the prediction schema of the text model, even for the non-text models, like chat models, or Codey models.

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 computing API call. Schema is identical to the prediction schema of the text model, even for the non-text models, like chat models, or Codey models.

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 computing API call. Schema is identical to the prediction schema of the text model, even for the non-text models, like chat models, or Codey models.

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 computing API call. Schema is identical to the prediction schema of the text model, even for the non-text models, like chat models, or Codey models.

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.

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(ComputeTokensRequest other)

public ComputeTokensRequest.Builder mergeFrom(ComputeTokensRequest other)

Parameter
Name	Description
other	ComputeTokensRequest

Returns
Type	Description
ComputeTokensRequest.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

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

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
ComputeTokensRequest.Builder

Overrides

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

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public ComputeTokensRequest.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
ComputeTokensRequest.Builder

Overrides

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

mergeUnknownFields(UnknownFieldSet unknownFields)

public final ComputeTokensRequest.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
ComputeTokensRequest.Builder

Overrides

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

removeContents(int index)

public ComputeTokensRequest.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
ComputeTokensRequest.Builder

removeInstances(int index)

public ComputeTokensRequest.Builder removeInstances(int index)

Optional. The instances that are the input to token computing API call. Schema is identical to the prediction schema of the text model, even for the non-text models, like chat models, or Codey models.

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

Parameter
Name	Description
index	int

Returns
Type	Description
ComputeTokensRequest.Builder

setContents(int index, Content value)

public ComputeTokensRequest.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
ComputeTokensRequest.Builder

setContents(int index, Content.Builder builderForValue)

public ComputeTokensRequest.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
ComputeTokensRequest.Builder

setEndpoint(String value)

public ComputeTokensRequest.Builder setEndpoint(String value)

Required. The name of the Endpoint requested to get lists of tokens and token ids.

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

Parameter
Name	Description
value	String The endpoint to set.

Returns
Type	Description
ComputeTokensRequest.Builder	This builder for chaining.

setEndpointBytes(ByteString value)

public ComputeTokensRequest.Builder setEndpointBytes(ByteString value)

Required. The name of the Endpoint requested to get lists of tokens and token ids.

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
ComputeTokensRequest.Builder	This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

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

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
ComputeTokensRequest.Builder

Overrides

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

setInstances(int index, Value value)

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

Optional. The instances that are the input to token computing API call. Schema is identical to the prediction schema of the text model, even for the non-text models, like chat models, or Codey models.

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

Parameters
Name	Description
index	int
value	Value

Returns
Type	Description
ComputeTokensRequest.Builder

setInstances(int index, Value.Builder builderForValue)

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

Optional. The instances that are the input to token computing API call. Schema is identical to the prediction schema of the text model, even for the non-text models, like chat models, or Codey models.

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

Parameters
Name	Description
index	int
builderForValue	Builder

Returns
Type	Description
ComputeTokensRequest.Builder

setModel(String value)

public ComputeTokensRequest.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
ComputeTokensRequest.Builder	This builder for chaining.

setModelBytes(ByteString value)

public ComputeTokensRequest.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
ComputeTokensRequest.Builder	This builder for chaining.

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

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

Parameters
Name	Description
field	FieldDescriptor
index	int
value	Object

Returns
Type	Description
ComputeTokensRequest.Builder

Overrides

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

setUnknownFields(UnknownFieldSet unknownFields)

public final ComputeTokensRequest.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
ComputeTokensRequest.Builder

Overrides

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