Package com.google.cloud.dialogflow.cx.v3beta1

Class LlmModelSettings.Parameters.Builder

java.lang.Object
com.google.protobuf.AbstractMessageLite.Builder
com.google.protobuf.AbstractMessage.Builder<BuilderT>
com.google.protobuf.GeneratedMessage.Builder<LlmModelSettings.Parameters.Builder>
com.google.cloud.dialogflow.cx.v3beta1.LlmModelSettings.Parameters.Builder
All Implemented Interfaces:
LlmModelSettings.ParametersOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable
Enclosing class:
LlmModelSettings.Parameters
public static final class LlmModelSettings.Parameters.Builder extends com.google.protobuf.GeneratedMessage.Builder<LlmModelSettings.Parameters.Builder> implements LlmModelSettings.ParametersOrBuilder
 Generative model parameters to control the model behavior.
Protobuf type google.cloud.dialogflow.cx.v3beta1.LlmModelSettings.Parameters

  • Method Details

    • getDescriptor

      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

    • internalGetFieldAccessorTable

      protected com.google.protobuf.GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()
      Specified by:
      internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessage.Builder<LlmModelSettings.Parameters.Builder>

    • clear

      public LlmModelSettings.Parameters.Builder clear()
      Specified by:
      clear in interface com.google.protobuf.Message.Builder
      Specified by:
      clear in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      clear in class com.google.protobuf.GeneratedMessage.Builder<LlmModelSettings.Parameters.Builder>

    • getDescriptorForType

      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
      Specified by:
      getDescriptorForType in interface com.google.protobuf.Message.Builder
      Specified by:
      getDescriptorForType in interface com.google.protobuf.MessageOrBuilder
      Overrides:
      getDescriptorForType in class com.google.protobuf.GeneratedMessage.Builder<LlmModelSettings.Parameters.Builder>

    • getDefaultInstanceForType

      public LlmModelSettings.Parameters getDefaultInstanceForType()
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

    • build

      public LlmModelSettings.Parameters build()
      Specified by:
      build in interface com.google.protobuf.Message.Builder
      Specified by:
      build in interface com.google.protobuf.MessageLite.Builder

    • buildPartial

      public LlmModelSettings.Parameters buildPartial()
      Specified by:
      buildPartial in interface com.google.protobuf.Message.Builder
      Specified by:
      buildPartial in interface com.google.protobuf.MessageLite.Builder

    • mergeFrom

      public LlmModelSettings.Parameters.Builder mergeFrom(com.google.protobuf.Message other)
      Specified by:
      mergeFrom in interface com.google.protobuf.Message.Builder
      Overrides:
      mergeFrom in class com.google.protobuf.AbstractMessage.Builder<LlmModelSettings.Parameters.Builder>

    • mergeFrom

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

    • isInitialized

      public final boolean isInitialized()
      Specified by:
      isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
      Overrides:
      isInitialized in class com.google.protobuf.GeneratedMessage.Builder<LlmModelSettings.Parameters.Builder>

    • mergeFrom

      public LlmModelSettings.Parameters.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Specified by:
      mergeFrom in interface com.google.protobuf.Message.Builder
      Specified by:
      mergeFrom in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      mergeFrom in class com.google.protobuf.AbstractMessage.Builder<LlmModelSettings.Parameters.Builder>
      Throws:
      IOException

    • 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;
      Specified by:
      hasTemperature in interface LlmModelSettings.ParametersOrBuilder
      Returns:
      Whether the temperature field is set.

    • 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;
      Specified by:
      getTemperature in interface LlmModelSettings.ParametersOrBuilder
      Returns:
      The temperature.

    • setTemperature

      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;
      Parameters:
      value - The temperature to set.
      Returns:
      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:
      This builder for chaining.

    • 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;
      Specified by:
      hasInputTokenLimit in interface LlmModelSettings.ParametersOrBuilder
      Returns:
      Whether the inputTokenLimit field is set.

    • 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;
      Specified by:
      getInputTokenLimitValue in interface LlmModelSettings.ParametersOrBuilder
      Returns:
      The enum numeric value on the wire for inputTokenLimit.

    • setInputTokenLimitValue

      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;
      Parameters:
      value - The enum numeric value on the wire for inputTokenLimit to set.
      Returns:
      This builder for chaining.

    • 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;
      Specified by:
      getInputTokenLimit in interface LlmModelSettings.ParametersOrBuilder
      Returns:
      The inputTokenLimit.

    • setInputTokenLimit

      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;
      Parameters:
      value - The inputTokenLimit to set.
      Returns:
      This builder for chaining.

    • 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:
      This builder for chaining.

    • 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;
      Specified by:
      hasOutputTokenLimit in interface LlmModelSettings.ParametersOrBuilder
      Returns:
      Whether the outputTokenLimit field is set.

    • 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;
      Specified by:
      getOutputTokenLimitValue in interface LlmModelSettings.ParametersOrBuilder
      Returns:
      The enum numeric value on the wire for outputTokenLimit.

    • setOutputTokenLimitValue

      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;
      Parameters:
      value - The enum numeric value on the wire for outputTokenLimit to set.
      Returns:
      This builder for chaining.

    • 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;
      Specified by:
      getOutputTokenLimit in interface LlmModelSettings.ParametersOrBuilder
      Returns:
      The outputTokenLimit.

    • setOutputTokenLimit

      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;
      Parameters:
      value - The outputTokenLimit to set.
      Returns:
      This builder for chaining.

    • 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:
      This builder for chaining.