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Version 0.65.0keyboard_arrow_down
public static final class Generator . ModelParameter extends GeneratedMessageV3 implements Generator . ModelParameterOrBuilder Parameters to be passed to the LLM. If not set, default values will be used.
Protobuf type google.cloud.dialogflow.cx.v3beta1.Generator.ModelParameter
Inherited Members com.google.protobuf.GeneratedMessageV3.<ListT>makeMutableCopy(ListT)
com.google.protobuf.GeneratedMessageV3.<ListT>makeMutableCopy(ListT,int)
com.google.protobuf.GeneratedMessageV3.<T>emptyList(java.lang.Class<T>)
com.google.protobuf.GeneratedMessageV3.internalGetMapFieldReflection(int)
Static Fields MAX_DECODE_STEPS_FIELD_NUMBER
public static final int MAX_DECODE_STEPS_FIELD_NUMBER Field Value Type Description int
TEMPERATURE_FIELD_NUMBER
public static final int TEMPERATURE_FIELD_NUMBER Field Value Type Description int
TOP_K_FIELD_NUMBER
public static final int TOP_K_FIELD_NUMBER Field Value Type Description int
TOP_P_FIELD_NUMBER
public static final int TOP_P_FIELD_NUMBER Field Value Type Description int
Static Methods getDefaultInstance()
public static Generator . ModelParameter getDefaultInstance () getDescriptor()
public static final Descriptors . Descriptor getDescriptor () newBuilder()
public static Generator . ModelParameter . Builder newBuilder () newBuilder(Generator.ModelParameter )
public static Generator . ModelParameter . Builder newBuilder ( Generator . ModelParameter )
public static Generator . ModelParameter parseDelimitedFrom ( InputStream input )
public static Generator . ModelParameter parseDelimitedFrom ( InputStream input , ExtensionRegistryLite extensionRegistry ) parseFrom(byte[] data)
public static Generator . ModelParameter parseFrom ( byte [] data ) Parameter Name Description databyte []
parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
public static Generator . ModelParameter parseFrom ( byte [] data , ExtensionRegistryLite extensionRegistry ) parseFrom(ByteString data)
public static Generator . ModelParameter parseFrom ( ByteString data ) parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static Generator . ModelParameter parseFrom ( ByteString data , ExtensionRegistryLite extensionRegistry )
public static Generator . ModelParameter parseFrom ( CodedInputStream input )
public static Generator . ModelParameter parseFrom ( CodedInputStream input , ExtensionRegistryLite extensionRegistry )
public static Generator . ModelParameter parseFrom ( InputStream input )
public static Generator . ModelParameter parseFrom ( InputStream input , ExtensionRegistryLite extensionRegistry ) parseFrom(ByteBuffer data)
public static Generator . ModelParameter parseFrom ( ByteBuffer data ) parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
public static Generator . ModelParameter parseFrom ( ByteBuffer data , ExtensionRegistryLite extensionRegistry ) parser()
public static Parser<Generator . ModelParameter > parser () Methods equals(Object obj)
public boolean equals ( Object obj ) Parameter Name Description objObject
Overrides getDefaultInstanceForType()
public Generator . ModelParameter getDefaultInstanceForType () getMaxDecodeSteps()
public int getMaxDecodeSteps () The maximum number of tokens to generate.
optional int32 max_decode_steps = 2;
Returns Type Description int The maxDecodeSteps.
getParserForType()
public Parser<Generator . ModelParameter > getParserForType () Overrides getSerializedSize()
public int getSerializedSize () Returns Type Description int
Overrides getTemperature()
public float getTemperature () The temperature used for sampling. Temperature sampling occurs after both topP and topK have been applied. Valid range: [0.0, 1.0] Low temperature = less random. High temperature = more random.
optional float temperature = 1;
Returns Type Description float The temperature.
getTopK() If set, the sampling process in each step is limited to the top_k tokens with highest probabilities. Valid range: [1, 40] or 1000+. Small topK = less random. Large topK = more random.
optional int32 top_k = 4;
Returns Type Description int The topK.
getTopP() If set, only the tokens comprising the top top_p probability mass are considered. If both top_p and top_k are set, top_p will be used for further refining candidates selected with top_k. Valid range: (0.0, 1.0]. Small topP = less random. Large topP = more random.
optional float top_p = 3;
Returns Type Description float The topP.
hasMaxDecodeSteps()
public boolean hasMaxDecodeSteps () The maximum number of tokens to generate.
optional int32 max_decode_steps = 2;
Returns Type Description boolean Whether the maxDecodeSteps field is set.
hasTemperature()
public boolean hasTemperature () The temperature used for sampling. Temperature sampling occurs after both topP and topK have been applied. Valid range: [0.0, 1.0] Low temperature = less random. High temperature = more random.
optional float temperature = 1;
Returns Type Description boolean Whether the temperature field is set.
hasTopK() If set, the sampling process in each step is limited to the top_k tokens with highest probabilities. Valid range: [1, 40] or 1000+. Small topK = less random. Large topK = more random.
optional int32 top_k = 4;
Returns Type Description boolean Whether the topK field is set.
hasTopP() If set, only the tokens comprising the top top_p probability mass are considered. If both top_p and top_k are set, top_p will be used for further refining candidates selected with top_k. Valid range: (0.0, 1.0]. Small topP = less random. Large topP = more random.
optional float top_p = 3;
Returns Type Description boolean Whether the topP field is set.
hashCode() Returns Type Description int
Overrides internalGetFieldAccessorTable()
protected GeneratedMessageV3 . FieldAccessorTable internalGetFieldAccessorTable () Overrides isInitialized()
public final boolean isInitialized () Overrides newBuilderForType()
public Generator . ModelParameter . Builder newBuilderForType () newBuilderForType(GeneratedMessageV3.BuilderParent parent)
protected Generator . ModelParameter . Builder newBuilderForType ( GeneratedMessageV3 . BuilderParent parent ) Overrides newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
protected Object newInstance ( GeneratedMessageV3 . UnusedPrivateParameter unused ) Overrides toBuilder()
public Generator . ModelParameter . Builder toBuilder () writeTo(CodedOutputStream output)
public void writeTo ( CodedOutputStream output ) Overrides Send feedback
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Last updated 2025-06-05 UTC.
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