Class LlmModelSettings.Parameters.Builder (0.89.0)

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public static final class LlmModelSettings.Parameters.Builder extends GeneratedMessageV3.Builder<LlmModelSettings.Parameters.Builder> implements LlmModelSettings.ParametersOrBuilder

Generative model parameters to control the model behavior.

Protobuf type google.cloud.dialogflow.cx.v3beta1.LlmModelSettings.Parameters

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > LlmModelSettings.Parameters.Builder

Implements

LlmModelSettings.ParametersOrBuilder

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

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

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

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
LlmModelSettings.Parameters.Builder

Overrides

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

build()

public LlmModelSettings.Parameters build()

Returns
Type	Description
LlmModelSettings.Parameters

buildPartial()

public LlmModelSettings.Parameters buildPartial()

Returns
Type	Description
LlmModelSettings.Parameters

clear()

public LlmModelSettings.Parameters.Builder clear()

Returns
Type	Description
LlmModelSettings.Parameters.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearField(Descriptors.FieldDescriptor field)

public LlmModelSettings.Parameters.Builder clearField(Descriptors.FieldDescriptor field)

Parameter
Name	Description
field	FieldDescriptor

Returns
Type	Description
LlmModelSettings.Parameters.Builder

Overrides

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

clearInputTokenLimit()

public LlmModelSettings.Parameters.Builder clearInputTokenLimit()

The input token limit. This setting is currently only supported by playbooks.

optional .google.cloud.dialogflow.cx.v3beta1.LlmModelSettings.Parameters.InputTokenLimit input_token_limit = 2;

Returns
Type	Description
LlmModelSettings.Parameters.Builder	This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public LlmModelSettings.Parameters.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter
Name	Description
oneof	OneofDescriptor

Returns
Type	Description
LlmModelSettings.Parameters.Builder

Overrides

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

clearOutputTokenLimit()

public LlmModelSettings.Parameters.Builder clearOutputTokenLimit()

The output token limit. This setting is currently only supported by playbooks. Only one of output_token_limit and max_output_tokens is allowed to be set.

optional .google.cloud.dialogflow.cx.v3beta1.LlmModelSettings.Parameters.OutputTokenLimit output_token_limit = 3;

Returns
Type	Description
LlmModelSettings.Parameters.Builder	This builder for chaining.

clearTemperature()

public LlmModelSettings.Parameters.Builder clearTemperature()

The temperature used for sampling during response generation. Value ranges from 0 to 1. Temperature controls the degree of randomness in token selection. Lower temperature means less randomness, while higher temperature means more randomness. Valid range: [0.0, 1.0]

optional float temperature = 1;

Returns
Type	Description
LlmModelSettings.Parameters.Builder	This builder for chaining.

clone()

public LlmModelSettings.Parameters.Builder clone()

Returns
Type	Description
LlmModelSettings.Parameters.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

getDefaultInstanceForType()

public LlmModelSettings.Parameters getDefaultInstanceForType()

Returns
Type	Description
LlmModelSettings.Parameters

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getInputTokenLimit()

public LlmModelSettings.Parameters.InputTokenLimit getInputTokenLimit()

The input token limit. This setting is currently only supported by playbooks.

optional .google.cloud.dialogflow.cx.v3beta1.LlmModelSettings.Parameters.InputTokenLimit input_token_limit = 2;

Returns
Type	Description
LlmModelSettings.Parameters.InputTokenLimit	The inputTokenLimit.

getInputTokenLimitValue()

public int getInputTokenLimitValue()

The input token limit. This setting is currently only supported by playbooks.

optional .google.cloud.dialogflow.cx.v3beta1.LlmModelSettings.Parameters.InputTokenLimit input_token_limit = 2;

Returns
Type	Description
int	The enum numeric value on the wire for inputTokenLimit.

getOutputTokenLimit()

public LlmModelSettings.Parameters.OutputTokenLimit getOutputTokenLimit()

The output token limit. This setting is currently only supported by playbooks. Only one of output_token_limit and max_output_tokens is allowed to be set.

optional .google.cloud.dialogflow.cx.v3beta1.LlmModelSettings.Parameters.OutputTokenLimit output_token_limit = 3;

Returns
Type	Description
LlmModelSettings.Parameters.OutputTokenLimit	The outputTokenLimit.

getOutputTokenLimitValue()

public int getOutputTokenLimitValue()

The output token limit. This setting is currently only supported by playbooks. Only one of output_token_limit and max_output_tokens is allowed to be set.

optional .google.cloud.dialogflow.cx.v3beta1.LlmModelSettings.Parameters.OutputTokenLimit output_token_limit = 3;

Returns
Type	Description
int	The enum numeric value on the wire for outputTokenLimit.

getTemperature()

public float getTemperature()

The temperature used for sampling during response generation. Value ranges from 0 to 1. Temperature controls the degree of randomness in token selection. Lower temperature means less randomness, while higher temperature means more randomness. Valid range: [0.0, 1.0]

optional float temperature = 1;

Returns
Type	Description
float	The temperature.

hasInputTokenLimit()

public boolean hasInputTokenLimit()

The input token limit. This setting is currently only supported by playbooks.

optional .google.cloud.dialogflow.cx.v3beta1.LlmModelSettings.Parameters.InputTokenLimit input_token_limit = 2;

Returns
Type	Description
boolean	Whether the inputTokenLimit field is set.

hasOutputTokenLimit()

public boolean hasOutputTokenLimit()

The output token limit. This setting is currently only supported by playbooks. Only one of output_token_limit and max_output_tokens is allowed to be set.

optional .google.cloud.dialogflow.cx.v3beta1.LlmModelSettings.Parameters.OutputTokenLimit output_token_limit = 3;

Returns
Type	Description
boolean	Whether the outputTokenLimit field is set.

hasTemperature()

public boolean hasTemperature()

The temperature used for sampling during response generation. Value ranges from 0 to 1. Temperature controls the degree of randomness in token selection. Lower temperature means less randomness, while higher temperature means more randomness. Valid range: [0.0, 1.0]

optional float temperature = 1;

Returns
Type	Description
boolean	Whether the temperature 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(LlmModelSettings.Parameters other)

public LlmModelSettings.Parameters.Builder mergeFrom(LlmModelSettings.Parameters other)

Parameter
Name	Description
other	LlmModelSettings.Parameters

Returns
Type	Description
LlmModelSettings.Parameters.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public LlmModelSettings.Parameters.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
LlmModelSettings.Parameters.Builder

Overrides

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

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public LlmModelSettings.Parameters.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
LlmModelSettings.Parameters.Builder

Overrides

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

mergeUnknownFields(UnknownFieldSet unknownFields)

public final LlmModelSettings.Parameters.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
LlmModelSettings.Parameters.Builder

Overrides

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

setField(Descriptors.FieldDescriptor field, Object value)

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

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
LlmModelSettings.Parameters.Builder

Overrides

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

setInputTokenLimit(LlmModelSettings.Parameters.InputTokenLimit value)

public LlmModelSettings.Parameters.Builder setInputTokenLimit(LlmModelSettings.Parameters.InputTokenLimit value)

The input token limit. This setting is currently only supported by playbooks.

optional .google.cloud.dialogflow.cx.v3beta1.LlmModelSettings.Parameters.InputTokenLimit input_token_limit = 2;

Parameter
Name	Description
value	LlmModelSettings.Parameters.InputTokenLimit The inputTokenLimit to set.

Returns
Type	Description
LlmModelSettings.Parameters.Builder	This builder for chaining.

setInputTokenLimitValue(int value)

public LlmModelSettings.Parameters.Builder setInputTokenLimitValue(int value)

The input token limit. This setting is currently only supported by playbooks.

optional .google.cloud.dialogflow.cx.v3beta1.LlmModelSettings.Parameters.InputTokenLimit input_token_limit = 2;

Parameter
Name	Description
value	int The enum numeric value on the wire for inputTokenLimit to set.

Returns
Type	Description
LlmModelSettings.Parameters.Builder	This builder for chaining.

setOutputTokenLimit(LlmModelSettings.Parameters.OutputTokenLimit value)

public LlmModelSettings.Parameters.Builder setOutputTokenLimit(LlmModelSettings.Parameters.OutputTokenLimit value)

The output token limit. This setting is currently only supported by playbooks. Only one of output_token_limit and max_output_tokens is allowed to be set.

optional .google.cloud.dialogflow.cx.v3beta1.LlmModelSettings.Parameters.OutputTokenLimit output_token_limit = 3;

Parameter
Name	Description
value	LlmModelSettings.Parameters.OutputTokenLimit The outputTokenLimit to set.

Returns
Type	Description
LlmModelSettings.Parameters.Builder	This builder for chaining.

setOutputTokenLimitValue(int value)

public LlmModelSettings.Parameters.Builder setOutputTokenLimitValue(int value)

The output token limit. This setting is currently only supported by playbooks. Only one of output_token_limit and max_output_tokens is allowed to be set.

optional .google.cloud.dialogflow.cx.v3beta1.LlmModelSettings.Parameters.OutputTokenLimit output_token_limit = 3;

Parameter
Name	Description
value	int The enum numeric value on the wire for outputTokenLimit to set.

Returns
Type	Description
LlmModelSettings.Parameters.Builder	This builder for chaining.

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

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

Parameters
Name	Description
field	FieldDescriptor
index	int
value	Object

Returns
Type	Description
LlmModelSettings.Parameters.Builder

Overrides

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

setTemperature(float value)

public LlmModelSettings.Parameters.Builder setTemperature(float value)

The temperature used for sampling during response generation. Value ranges from 0 to 1. Temperature controls the degree of randomness in token selection. Lower temperature means less randomness, while higher temperature means more randomness. Valid range: [0.0, 1.0]

optional float temperature = 1;

Parameter
Name	Description
value	float The temperature to set.

Returns
Type	Description
LlmModelSettings.Parameters.Builder	This builder for chaining.

setUnknownFields(UnknownFieldSet unknownFields)

public final LlmModelSettings.Parameters.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
LlmModelSettings.Parameters.Builder

Overrides

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