box-node-sdk
Version:
Official SDK for Box Platform APIs
64 lines (63 loc) • 4.09 kB
TypeScript
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;