Class GenerationConfig.Builder (3.48.0)

Version 3.48.0

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public static final class GenerationConfig.Builder extends GeneratedMessageV3.Builder<GenerationConfig.Builder> implements GenerationConfigOrBuilder

Generation config.

Protobuf type google.cloud.aiplatform.v1beta1.GenerationConfig

Inheritance

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

Implements

GenerationConfigOrBuilder

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

addAllStopSequences(Iterable<String> values)

public GenerationConfig.Builder addAllStopSequences(Iterable<String> values)

Optional. Stop sequences.

repeated string stop_sequences = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
values	Iterable<String> The stopSequences to add.

Returns
Type	Description
GenerationConfig.Builder	This builder for chaining.

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

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

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
GenerationConfig.Builder

Overrides

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

addStopSequences(String value)

public GenerationConfig.Builder addStopSequences(String value)

Optional. Stop sequences.

repeated string stop_sequences = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
value	String The stopSequences to add.

Returns
Type	Description
GenerationConfig.Builder	This builder for chaining.

addStopSequencesBytes(ByteString value)

public GenerationConfig.Builder addStopSequencesBytes(ByteString value)

Optional. Stop sequences.

repeated string stop_sequences = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
value	ByteString The bytes of the stopSequences to add.

Returns
Type	Description
GenerationConfig.Builder	This builder for chaining.

build()

public GenerationConfig build()

Returns
Type	Description
GenerationConfig

buildPartial()

public GenerationConfig buildPartial()

Returns
Type	Description
GenerationConfig

clear()

public GenerationConfig.Builder clear()

Returns
Type	Description
GenerationConfig.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearCandidateCount()

public GenerationConfig.Builder clearCandidateCount()

Optional. Number of candidates to generate.

optional int32 candidate_count = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
GenerationConfig.Builder	This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

public GenerationConfig.Builder clearField(Descriptors.FieldDescriptor field)

Parameter
Name	Description
field	FieldDescriptor

Returns
Type	Description
GenerationConfig.Builder

Overrides

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

clearFrequencyPenalty()

public GenerationConfig.Builder clearFrequencyPenalty()

Optional. Frequency penalties.

optional float frequency_penalty = 9 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
GenerationConfig.Builder	This builder for chaining.

clearMaxOutputTokens()

public GenerationConfig.Builder clearMaxOutputTokens()

Optional. The maximum number of output tokens to generate per message.

optional int32 max_output_tokens = 5 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
GenerationConfig.Builder	This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public GenerationConfig.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter
Name	Description
oneof	OneofDescriptor

Returns
Type	Description
GenerationConfig.Builder

Overrides

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

clearPresencePenalty()

public GenerationConfig.Builder clearPresencePenalty()

Optional. Positive penalties.

optional float presence_penalty = 8 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
GenerationConfig.Builder	This builder for chaining.

clearResponseMimeType()

public GenerationConfig.Builder clearResponseMimeType()

Optional. Output response mimetype of the generated candidate text. Supported mimetype:

• text/plain: (default) Text output.
• application/json: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.

string response_mime_type = 13 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
GenerationConfig.Builder	This builder for chaining.

clearResponseSchema()

public GenerationConfig.Builder clearResponseSchema()

Optional. The Schema object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an OpenAPI 3.0 schema object. If set, a compatible response_mime_type must also be set. Compatible mimetypes: application/json: Schema for JSON response.

optional .google.cloud.aiplatform.v1beta1.Schema response_schema = 16 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
GenerationConfig.Builder

clearStopSequences()

public GenerationConfig.Builder clearStopSequences()

Optional. Stop sequences.

repeated string stop_sequences = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
GenerationConfig.Builder	This builder for chaining.

clearTemperature()

public GenerationConfig.Builder clearTemperature()

Optional. Controls the randomness of predictions.

optional float temperature = 1 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
GenerationConfig.Builder	This builder for chaining.

clearTopK()

public GenerationConfig.Builder clearTopK()

Optional. If specified, top-k sampling will be used.

optional float top_k = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
GenerationConfig.Builder	This builder for chaining.

clearTopP()

public GenerationConfig.Builder clearTopP()

Optional. If specified, nucleus sampling will be used.

optional float top_p = 2 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
GenerationConfig.Builder	This builder for chaining.

clone()

public GenerationConfig.Builder clone()

Returns
Type	Description
GenerationConfig.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

getCandidateCount()

public int getCandidateCount()

Optional. Number of candidates to generate.

optional int32 candidate_count = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
int	The candidateCount.

getDefaultInstanceForType()

public GenerationConfig getDefaultInstanceForType()

Returns
Type	Description
GenerationConfig

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getFrequencyPenalty()

public float getFrequencyPenalty()

Optional. Frequency penalties.

optional float frequency_penalty = 9 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
float	The frequencyPenalty.

getMaxOutputTokens()

public int getMaxOutputTokens()

Optional. The maximum number of output tokens to generate per message.

optional int32 max_output_tokens = 5 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
int	The maxOutputTokens.

getPresencePenalty()

public float getPresencePenalty()

Optional. Positive penalties.

optional float presence_penalty = 8 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
float	The presencePenalty.

getResponseMimeType()

public String getResponseMimeType()

Optional. Output response mimetype of the generated candidate text. Supported mimetype:

• text/plain: (default) Text output.
• application/json: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.

string response_mime_type = 13 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
String	The responseMimeType.

getResponseMimeTypeBytes()

public ByteString getResponseMimeTypeBytes()

Optional. Output response mimetype of the generated candidate text. Supported mimetype:

• text/plain: (default) Text output.
• application/json: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.

string response_mime_type = 13 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
ByteString	The bytes for responseMimeType.

getResponseSchema()

public Schema getResponseSchema()

Optional. The Schema object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an OpenAPI 3.0 schema object. If set, a compatible response_mime_type must also be set. Compatible mimetypes: application/json: Schema for JSON response.

optional .google.cloud.aiplatform.v1beta1.Schema response_schema = 16 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
Schema	The responseSchema.

getResponseSchemaBuilder()

public Schema.Builder getResponseSchemaBuilder()

Optional. The Schema object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an OpenAPI 3.0 schema object. If set, a compatible response_mime_type must also be set. Compatible mimetypes: application/json: Schema for JSON response.

optional .google.cloud.aiplatform.v1beta1.Schema response_schema = 16 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
Schema.Builder

getResponseSchemaOrBuilder()

public SchemaOrBuilder getResponseSchemaOrBuilder()

Optional. The Schema object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an OpenAPI 3.0 schema object. If set, a compatible response_mime_type must also be set. Compatible mimetypes: application/json: Schema for JSON response.

optional .google.cloud.aiplatform.v1beta1.Schema response_schema = 16 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
SchemaOrBuilder

getStopSequences(int index)

public String getStopSequences(int index)

Optional. Stop sequences.

repeated string stop_sequences = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
index	int The index of the element to return.

Returns
Type	Description
String	The stopSequences at the given index.

getStopSequencesBytes(int index)

public ByteString getStopSequencesBytes(int index)

Optional. Stop sequences.

repeated string stop_sequences = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
index	int The index of the value to return.

Returns
Type	Description
ByteString	The bytes of the stopSequences at the given index.

getStopSequencesCount()

public int getStopSequencesCount()

Optional. Stop sequences.

repeated string stop_sequences = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
int	The count of stopSequences.

getStopSequencesList()

public ProtocolStringList getStopSequencesList()

Optional. Stop sequences.

repeated string stop_sequences = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
ProtocolStringList	A list containing the stopSequences.

getTemperature()

public float getTemperature()

Optional. Controls the randomness of predictions.

optional float temperature = 1 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
float	The temperature.

getTopK()

public float getTopK()

Optional. If specified, top-k sampling will be used.

optional float top_k = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
float	The topK.

getTopP()

public float getTopP()

Optional. If specified, nucleus sampling will be used.

optional float top_p = 2 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
float	The topP.

hasCandidateCount()

public boolean hasCandidateCount()

Optional. Number of candidates to generate.

optional int32 candidate_count = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
boolean	Whether the candidateCount field is set.

hasFrequencyPenalty()

public boolean hasFrequencyPenalty()

Optional. Frequency penalties.

optional float frequency_penalty = 9 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
boolean	Whether the frequencyPenalty field is set.

hasMaxOutputTokens()

public boolean hasMaxOutputTokens()

Optional. The maximum number of output tokens to generate per message.

optional int32 max_output_tokens = 5 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
boolean	Whether the maxOutputTokens field is set.

hasPresencePenalty()

public boolean hasPresencePenalty()

Optional. Positive penalties.

optional float presence_penalty = 8 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
boolean	Whether the presencePenalty field is set.

hasResponseSchema()

public boolean hasResponseSchema()

Optional. The Schema object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an OpenAPI 3.0 schema object. If set, a compatible response_mime_type must also be set. Compatible mimetypes: application/json: Schema for JSON response.

optional .google.cloud.aiplatform.v1beta1.Schema response_schema = 16 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
boolean	Whether the responseSchema field is set.

hasTemperature()

public boolean hasTemperature()

Optional. Controls the randomness of predictions.

optional float temperature = 1 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
boolean	Whether the temperature field is set.

hasTopK()

public boolean hasTopK()

Optional. If specified, top-k sampling will be used.

optional float top_k = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
boolean	Whether the topK field is set.

hasTopP()

public boolean hasTopP()

Optional. If specified, nucleus sampling will be used.

optional float top_p = 2 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
boolean	Whether the topP 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(GenerationConfig other)

public GenerationConfig.Builder mergeFrom(GenerationConfig other)

Parameter
Name	Description
other	GenerationConfig

Returns
Type	Description
GenerationConfig.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

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

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
GenerationConfig.Builder

Overrides

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

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public GenerationConfig.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
GenerationConfig.Builder

Overrides

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

mergeResponseSchema(Schema value)

public GenerationConfig.Builder mergeResponseSchema(Schema value)

Optional. The Schema object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an OpenAPI 3.0 schema object. If set, a compatible response_mime_type must also be set. Compatible mimetypes: application/json: Schema for JSON response.

optional .google.cloud.aiplatform.v1beta1.Schema response_schema = 16 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
value	Schema

Returns
Type	Description
GenerationConfig.Builder

mergeUnknownFields(UnknownFieldSet unknownFields)

public final GenerationConfig.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
GenerationConfig.Builder

Overrides

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

setCandidateCount(int value)

public GenerationConfig.Builder setCandidateCount(int value)

Optional. Number of candidates to generate.

optional int32 candidate_count = 4 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
value	int The candidateCount to set.

Returns
Type	Description
GenerationConfig.Builder	This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

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

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
GenerationConfig.Builder

Overrides

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

setFrequencyPenalty(float value)

public GenerationConfig.Builder setFrequencyPenalty(float value)

Optional. Frequency penalties.

optional float frequency_penalty = 9 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
value	float The frequencyPenalty to set.

Returns
Type	Description
GenerationConfig.Builder	This builder for chaining.

setMaxOutputTokens(int value)

public GenerationConfig.Builder setMaxOutputTokens(int value)

Optional. The maximum number of output tokens to generate per message.

optional int32 max_output_tokens = 5 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
value	int The maxOutputTokens to set.

Returns
Type	Description
GenerationConfig.Builder	This builder for chaining.

setPresencePenalty(float value)

public GenerationConfig.Builder setPresencePenalty(float value)

Optional. Positive penalties.

optional float presence_penalty = 8 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
value	float The presencePenalty to set.

Returns
Type	Description
GenerationConfig.Builder	This builder for chaining.

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

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

Parameters
Name	Description
field	FieldDescriptor
index	int
value	Object

Returns
Type	Description
GenerationConfig.Builder

Overrides

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

setResponseMimeType(String value)

public GenerationConfig.Builder setResponseMimeType(String value)

Optional. Output response mimetype of the generated candidate text. Supported mimetype:

• text/plain: (default) Text output.
• application/json: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.

string response_mime_type = 13 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
value	String The responseMimeType to set.

Returns
Type	Description
GenerationConfig.Builder	This builder for chaining.

setResponseMimeTypeBytes(ByteString value)

public GenerationConfig.Builder setResponseMimeTypeBytes(ByteString value)

Optional. Output response mimetype of the generated candidate text. Supported mimetype:

• text/plain: (default) Text output.
• application/json: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.

string response_mime_type = 13 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
value	ByteString The bytes for responseMimeType to set.

Returns
Type	Description
GenerationConfig.Builder	This builder for chaining.

setResponseSchema(Schema value)

public GenerationConfig.Builder setResponseSchema(Schema value)

Optional. The Schema object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an OpenAPI 3.0 schema object. If set, a compatible response_mime_type must also be set. Compatible mimetypes: application/json: Schema for JSON response.

optional .google.cloud.aiplatform.v1beta1.Schema response_schema = 16 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
value	Schema

Returns
Type	Description
GenerationConfig.Builder

setResponseSchema(Schema.Builder builderForValue)

public GenerationConfig.Builder setResponseSchema(Schema.Builder builderForValue)

Optional. The Schema object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an OpenAPI 3.0 schema object. If set, a compatible response_mime_type must also be set. Compatible mimetypes: application/json: Schema for JSON response.

optional .google.cloud.aiplatform.v1beta1.Schema response_schema = 16 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
builderForValue	Schema.Builder

Returns
Type	Description
GenerationConfig.Builder

setStopSequences(int index, String value)

public GenerationConfig.Builder setStopSequences(int index, String value)

Optional. Stop sequences.

repeated string stop_sequences = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameters
Name	Description
index	int The index to set the value at.
value	String The stopSequences to set.

Returns
Type	Description
GenerationConfig.Builder	This builder for chaining.

setTemperature(float value)

public GenerationConfig.Builder setTemperature(float value)

Optional. Controls the randomness of predictions.

optional float temperature = 1 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
value	float The temperature to set.

Returns
Type	Description
GenerationConfig.Builder	This builder for chaining.

setTopK(float value)

public GenerationConfig.Builder setTopK(float value)

Optional. If specified, top-k sampling will be used.

optional float top_k = 3 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
value	float The topK to set.

Returns
Type	Description
GenerationConfig.Builder	This builder for chaining.

setTopP(float value)

public GenerationConfig.Builder setTopP(float value)

Optional. If specified, nucleus sampling will be used.

optional float top_p = 2 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
value	float The topP to set.

Returns
Type	Description
GenerationConfig.Builder	This builder for chaining.

setUnknownFields(UnknownFieldSet unknownFields)

public final GenerationConfig.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
GenerationConfig.Builder

Overrides

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