Package com.pulumi.aws.bedrock.outputs

Class AgentAgentPromptOverrideConfigurationPromptConfigurationInferenceConfiguration

java.lang.Object

com.pulumi.aws.bedrock.outputs.AgentAgentPromptOverrideConfigurationPromptConfigurationInferenceConfiguration

public final class AgentAgentPromptOverrideConfigurationPromptConfigurationInferenceConfiguration
extends java.lang.Object

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	AgentAgentPromptOverrideConfigurationPromptConfigurationInferenceConfiguration.Builder

Method Summary

Modifier and Type	Method	Description
static AgentAgentPromptOverrideConfigurationPromptConfigurationInferenceConfiguration.Builder	builder()
static AgentAgentPromptOverrideConfigurationPromptConfigurationInferenceConfiguration.Builder	builder(AgentAgentPromptOverrideConfigurationPromptConfigurationInferenceConfiguration defaults)
java.lang.Integer	maxLength()
java.util.List<java.lang.String>	stopSequences()
java.lang.Double	temperature()
java.lang.Integer	topK()
java.lang.Double	topP()

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Detail

maxLength

public java.lang.Integer maxLength()

Returns:

Maximum number of tokens to allow in the generated response.

stopSequences

public java.util.List<java.lang.String> stopSequences()

Returns:

List of stop sequences. A stop sequence is a sequence of characters that causes the model to stop generating the response.

temperature

public java.lang.Double temperature()

Returns:

Likelihood of the model selecting higher-probability options while generating a response. A lower value makes the model more likely to choose higher-probability options, while a higher value makes the model more likely to choose lower-probability options.

topK

public java.lang.Integer topK()

Returns:

Number of top most-likely candidates, between 0 and 500, from which the model chooses the next token in the sequence.

topP

public java.lang.Double topP()

Returns:

Top percentage of the probability distribution of next tokens, between 0 and 1 (denoting 0% and 100%), from which the model chooses the next token in the sequence.

builder

public static AgentAgentPromptOverrideConfigurationPromptConfigurationInferenceConfiguration.Builder builder()

builder

public static AgentAgentPromptOverrideConfigurationPromptConfigurationInferenceConfiguration.Builder builder(AgentAgentPromptOverrideConfigurationPromptConfigurationInferenceConfiguration defaults)