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box-node-sdk

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Official SDK for Box Platform APIs

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import { SerializedData } from '../serialization/json'; export type AiLlmEndpointParamsOpenAiTypeField = 'openai_params'; export declare class AiLlmEndpointParamsOpenAi { /** * The type of the AI LLM endpoint params object for OpenAI. * This parameter is **required**. */ readonly 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. */ readonly temperature?: number | null; /** * 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. */ readonly topP?: number | null; /** * A 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. */ readonly frequencyPenalty?: number | null; /** * A 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. */ readonly presencePenalty?: number | null; /** * Up to 4 sequences where the API will stop generating further tokens. */ readonly stop?: string | null; readonly rawData?: SerializedData; constructor(fields: Omit<AiLlmEndpointParamsOpenAi, 'type'> & Partial<Pick<AiLlmEndpointParamsOpenAi, 'type'>>); } export interface AiLlmEndpointParamsOpenAiInput { /** * The type of the AI LLM endpoint params object for OpenAI. * This parameter is **required**. */ readonly 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. */ readonly temperature?: number | null; /** * 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. */ readonly topP?: number | null; /** * A 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. */ readonly frequencyPenalty?: number | null; /** * A 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. */ readonly presencePenalty?: number | null; /** * Up to 4 sequences where the API will stop generating further tokens. */ readonly stop?: string | null; readonly rawData?: SerializedData; } export declare function serializeAiLlmEndpointParamsOpenAiTypeField(val: AiLlmEndpointParamsOpenAiTypeField): SerializedData; export declare function deserializeAiLlmEndpointParamsOpenAiTypeField(val: SerializedData): AiLlmEndpointParamsOpenAiTypeField; export declare function serializeAiLlmEndpointParamsOpenAi(val: AiLlmEndpointParamsOpenAi): SerializedData; export declare function deserializeAiLlmEndpointParamsOpenAi(val: SerializedData): AiLlmEndpointParamsOpenAi; export declare function serializeAiLlmEndpointParamsOpenAiInput(val: AiLlmEndpointParamsOpenAiInput): SerializedData; export declare function deserializeAiLlmEndpointParamsOpenAiInput(val: SerializedData): AiLlmEndpointParamsOpenAiInput;