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/*
 * Copyright 2019-2024 Amazon.com, Inc. or its affiliates. All Rights Reserved.
 * 
 * Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with
 * the License. A copy of the License is located at
 * 
 * http://aws.amazon.com/apache2.0
 * 
 * or in the "license" file accompanying this file. This file is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
 * CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions
 * and limitations under the License.
 */
package com.amazonaws.services.bedrockagent.model;

import java.io.Serializable;
import javax.annotation.Generated;
import com.amazonaws.protocol.StructuredPojo;
import com.amazonaws.protocol.ProtocolMarshaller;

/**
 * 

* Contains inference configurations related to model inference for a prompt. For more information, see Inference parameters. *

* * @see AWS API Documentation */ @Generated("com.amazonaws:aws-java-sdk-code-generator") public class PromptModelInferenceConfiguration implements Serializable, Cloneable, StructuredPojo { /** *

* The maximum number of tokens to return in the response. *

*/ private Integer maxTokens; /** *

* A list of strings that define sequences after which the model will stop generating. *

*/ private java.util.List stopSequences; /** *

* Controls the randomness of the response. Choose a lower value for more predictable outputs and a higher value for * more surprising outputs. *

*/ private Float temperature; /** *

* The number of most-likely candidates that the model considers for the next token during generation. *

*/ private Integer topK; /** *

* The percentage of most-likely candidates that the model considers for the next token. *

*/ private Float topP; /** *

* The maximum number of tokens to return in the response. *

* * @param maxTokens * The maximum number of tokens to return in the response. */ public void setMaxTokens(Integer maxTokens) { this.maxTokens = maxTokens; } /** *

* The maximum number of tokens to return in the response. *

* * @return The maximum number of tokens to return in the response. */ public Integer getMaxTokens() { return this.maxTokens; } /** *

* The maximum number of tokens to return in the response. *

* * @param maxTokens * The maximum number of tokens to return in the response. * @return Returns a reference to this object so that method calls can be chained together. */ public PromptModelInferenceConfiguration withMaxTokens(Integer maxTokens) { setMaxTokens(maxTokens); return this; } /** *

* A list of strings that define sequences after which the model will stop generating. *

* * @return A list of strings that define sequences after which the model will stop generating. */ public java.util.List getStopSequences() { return stopSequences; } /** *

* A list of strings that define sequences after which the model will stop generating. *

* * @param stopSequences * A list of strings that define sequences after which the model will stop generating. */ public void setStopSequences(java.util.Collection stopSequences) { if (stopSequences == null) { this.stopSequences = null; return; } this.stopSequences = new java.util.ArrayList(stopSequences); } /** *

* A list of strings that define sequences after which the model will stop generating. *

*

* NOTE: This method appends the values to the existing list (if any). Use * {@link #setStopSequences(java.util.Collection)} or {@link #withStopSequences(java.util.Collection)} if you want * to override the existing values. *

* * @param stopSequences * A list of strings that define sequences after which the model will stop generating. * @return Returns a reference to this object so that method calls can be chained together. */ public PromptModelInferenceConfiguration withStopSequences(String... stopSequences) { if (this.stopSequences == null) { setStopSequences(new java.util.ArrayList(stopSequences.length)); } for (String ele : stopSequences) { this.stopSequences.add(ele); } return this; } /** *

* A list of strings that define sequences after which the model will stop generating. *

* * @param stopSequences * A list of strings that define sequences after which the model will stop generating. * @return Returns a reference to this object so that method calls can be chained together. */ public PromptModelInferenceConfiguration withStopSequences(java.util.Collection stopSequences) { setStopSequences(stopSequences); return this; } /** *

* Controls the randomness of the response. Choose a lower value for more predictable outputs and a higher value for * more surprising outputs. *

* * @param temperature * Controls the randomness of the response. Choose a lower value for more predictable outputs and a higher * value for more surprising outputs. */ public void setTemperature(Float temperature) { this.temperature = temperature; } /** *

* Controls the randomness of the response. Choose a lower value for more predictable outputs and a higher value for * more surprising outputs. *

* * @return Controls the randomness of the response. Choose a lower value for more predictable outputs and a higher * value for more surprising outputs. */ public Float getTemperature() { return this.temperature; } /** *

* Controls the randomness of the response. Choose a lower value for more predictable outputs and a higher value for * more surprising outputs. *

* * @param temperature * Controls the randomness of the response. Choose a lower value for more predictable outputs and a higher * value for more surprising outputs. * @return Returns a reference to this object so that method calls can be chained together. */ public PromptModelInferenceConfiguration withTemperature(Float temperature) { setTemperature(temperature); return this; } /** *

* The number of most-likely candidates that the model considers for the next token during generation. *

* * @param topK * The number of most-likely candidates that the model considers for the next token during generation. */ public void setTopK(Integer topK) { this.topK = topK; } /** *

* The number of most-likely candidates that the model considers for the next token during generation. *

* * @return The number of most-likely candidates that the model considers for the next token during generation. */ public Integer getTopK() { return this.topK; } /** *

* The number of most-likely candidates that the model considers for the next token during generation. *

* * @param topK * The number of most-likely candidates that the model considers for the next token during generation. * @return Returns a reference to this object so that method calls can be chained together. */ public PromptModelInferenceConfiguration withTopK(Integer topK) { setTopK(topK); return this; } /** *

* The percentage of most-likely candidates that the model considers for the next token. *

* * @param topP * The percentage of most-likely candidates that the model considers for the next token. */ public void setTopP(Float topP) { this.topP = topP; } /** *

* The percentage of most-likely candidates that the model considers for the next token. *

* * @return The percentage of most-likely candidates that the model considers for the next token. */ public Float getTopP() { return this.topP; } /** *

* The percentage of most-likely candidates that the model considers for the next token. *

* * @param topP * The percentage of most-likely candidates that the model considers for the next token. * @return Returns a reference to this object so that method calls can be chained together. */ public PromptModelInferenceConfiguration withTopP(Float topP) { setTopP(topP); return this; } /** * Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be * redacted from this string using a placeholder value. * * @return A string representation of this object. * * @see java.lang.Object#toString() */ @Override public String toString() { StringBuilder sb = new StringBuilder(); sb.append("{"); if (getMaxTokens() != null) sb.append("MaxTokens: ").append(getMaxTokens()).append(","); if (getStopSequences() != null) sb.append("StopSequences: ").append(getStopSequences()).append(","); if (getTemperature() != null) sb.append("Temperature: ").append(getTemperature()).append(","); if (getTopK() != null) sb.append("TopK: ").append(getTopK()).append(","); if (getTopP() != null) sb.append("TopP: ").append(getTopP()); sb.append("}"); return sb.toString(); } @Override public boolean equals(Object obj) { if (this == obj) return true; if (obj == null) return false; if (obj instanceof PromptModelInferenceConfiguration == false) return false; PromptModelInferenceConfiguration other = (PromptModelInferenceConfiguration) obj; if (other.getMaxTokens() == null ^ this.getMaxTokens() == null) return false; if (other.getMaxTokens() != null && other.getMaxTokens().equals(this.getMaxTokens()) == false) return false; if (other.getStopSequences() == null ^ this.getStopSequences() == null) return false; if (other.getStopSequences() != null && other.getStopSequences().equals(this.getStopSequences()) == false) return false; if (other.getTemperature() == null ^ this.getTemperature() == null) return false; if (other.getTemperature() != null && other.getTemperature().equals(this.getTemperature()) == false) return false; if (other.getTopK() == null ^ this.getTopK() == null) return false; if (other.getTopK() != null && other.getTopK().equals(this.getTopK()) == false) return false; if (other.getTopP() == null ^ this.getTopP() == null) return false; if (other.getTopP() != null && other.getTopP().equals(this.getTopP()) == false) return false; return true; } @Override public int hashCode() { final int prime = 31; int hashCode = 1; hashCode = prime * hashCode + ((getMaxTokens() == null) ? 0 : getMaxTokens().hashCode()); hashCode = prime * hashCode + ((getStopSequences() == null) ? 0 : getStopSequences().hashCode()); hashCode = prime * hashCode + ((getTemperature() == null) ? 0 : getTemperature().hashCode()); hashCode = prime * hashCode + ((getTopK() == null) ? 0 : getTopK().hashCode()); hashCode = prime * hashCode + ((getTopP() == null) ? 0 : getTopP().hashCode()); return hashCode; } @Override public PromptModelInferenceConfiguration clone() { try { return (PromptModelInferenceConfiguration) super.clone(); } catch (CloneNotSupportedException e) { throw new IllegalStateException("Got a CloneNotSupportedException from Object.clone() " + "even though we're Cloneable!", e); } } @com.amazonaws.annotation.SdkInternalApi @Override public void marshall(ProtocolMarshaller protocolMarshaller) { com.amazonaws.services.bedrockagent.model.transform.PromptModelInferenceConfigurationMarshaller.getInstance().marshall(this, protocolMarshaller); } }




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