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package com.launchableinc.openai.edit;

import com.fasterxml.jackson.annotation.JsonProperty;
import lombok.*;

/**
 * Given a prompt and an instruction, OpenAi will return an edited version of the prompt
 * 

* https://beta.openai.com/docs/api-reference/edits/create */ @Builder @NoArgsConstructor @AllArgsConstructor @Data public class EditRequest { /** * The name of the model to use. Required if using the new v1/edits endpoint. */ String model; /** * The input text to use as a starting point for the edit. */ String input; /** * The instruction that tells the model how to edit the prompt. For example, "Fix the spelling * mistakes" */ @NonNull String instruction; /** * How many edits to generate for the input and instruction. */ Integer n; /** * What sampling temperature to use. Higher values means the model will take more risks. Try 0.9 * for more creative applications, and 0 (argmax sampling) for ones with a well-defined answer. *

* We generally recommend altering this or {@link EditRequest#topP} but not both. */ Double temperature; /** * An alternative to sampling with temperature, called nucleus sampling, where the model considers * the results of the tokens with top_p probability mass.So 0.1 means only the tokens comprising * the top 10% probability mass are considered. *

* We generally recommend altering this or {@link EditRequest#temperature} but not both. */ @JsonProperty("top_p") Double topP; }





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