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/** * @flow * @author Box */ export type AiLlmEndpointParamsOpenAiTypeField = 'openai_params'; export interface AiLlmEndpointParamsOpenAi { /** * The type of the AI LLM endpoint params object for OpenAI. */ +type: AiLlmEndpointParamsOpenAiTypeField; /** * What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. We generally recommend altering this or `top_p` but not both. */ +temperature?: number; /** * 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 temperature but not both. */ +top_p?: number; /** * Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim. */ +frequency_penalty?: number; /** * Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics. */ +presence_penalty?: number; /** * Up to 4 sequences where the API will stop generating further tokens. */ +stop?: string; }