Package com.oracle.bmc.generativeaiagentruntime.model

Class ModelParams.Builder

java.lang.Object

com.oracle.bmc.generativeaiagentruntime.model.ModelParams.Builder

Enclosing class:

ModelParams

public static class ModelParams.Builder
extends Object

Constructor Summary

Constructors

Constructor	Description
Builder()

Method Summary

Modifier and Type	Method	Description
ModelParams	build()
ModelParams.Builder	copy(ModelParams model)
ModelParams.Builder	frequencyPenalty(Float frequencyPenalty)	Frequency penalty to reduce repeating tokens.
ModelParams.Builder	maxTokens(Integer maxTokens)	Maximum number of tokens.
ModelParams.Builder	presencePenalty(Float presencePenalty)	Presence penalty to encourage new topics.
ModelParams.Builder	reasoningEffort(String reasoningEffort)	Constrains effort on reasoning for reasoning models.
ModelParams.Builder	seed(Integer seed)	Seed makes best effort to sample tokens deterministically.
ModelParams.Builder	temperature(Float temperature)	Sampling temperature.
ModelParams.Builder	topK(Integer topK)	Top-K sampling parameter.
ModelParams.Builder	topP(Float topP)	Nucleus sampling probability.
ModelParams.Builder	verbosity(String verbosity)	Constrains the verbosity of the model’s response.

Methods inherited from class java.lang.Object

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

Constructor Detail

Builder

public Builder()

Method Detail

maxTokens

public ModelParams.Builder maxTokens(Integer maxTokens)

Maximum number of tokens.

Parameters:

maxTokens - the value to set

Returns:

this builder

temperature

public ModelParams.Builder temperature(Float temperature)

Sampling temperature.

Parameters:

temperature - the value to set

Returns:

this builder

topP

public ModelParams.Builder topP(Float topP)

Nucleus sampling probability.

Parameters:

topP - the value to set

Returns:

this builder

topK

public ModelParams.Builder topK(Integer topK)

Top-K sampling parameter.

Parameters:

topK - the value to set

Returns:

this builder

frequencyPenalty

public ModelParams.Builder frequencyPenalty(Float frequencyPenalty)

Frequency penalty to reduce repeating tokens.

Parameters:

frequencyPenalty - the value to set

Returns:

this builder

presencePenalty

public ModelParams.Builder presencePenalty(Float presencePenalty)

Presence penalty to encourage new topics.

Parameters:

presencePenalty - the value to set

Returns:

this builder

seed

public ModelParams.Builder seed(Integer seed)

Seed makes best effort to sample tokens deterministically.

Parameters:

seed - the value to set

Returns:

this builder

reasoningEffort

public ModelParams.Builder reasoningEffort(String reasoningEffort)

Constrains effort on reasoning for reasoning models.

Parameters:

reasoningEffort - the value to set

Returns:

this builder

verbosity

public ModelParams.Builder verbosity(String verbosity)

Constrains the verbosity of the model’s response.

Parameters:

verbosity - the value to set

Returns:

this builder

build

public ModelParams build()

copy

public ModelParams.Builder copy(ModelParams model)