box-node-sdk
Version:
Official SDK for Box Platform APIs
199 lines • 8.59 kB
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
exports.AiLlmEndpointParamsOpenAi = void 0;
exports.serializeAiLlmEndpointParamsOpenAiTypeField = serializeAiLlmEndpointParamsOpenAiTypeField;
exports.deserializeAiLlmEndpointParamsOpenAiTypeField = deserializeAiLlmEndpointParamsOpenAiTypeField;
exports.serializeAiLlmEndpointParamsOpenAi = serializeAiLlmEndpointParamsOpenAi;
exports.deserializeAiLlmEndpointParamsOpenAi = deserializeAiLlmEndpointParamsOpenAi;
exports.serializeAiLlmEndpointParamsOpenAiInput = serializeAiLlmEndpointParamsOpenAiInput;
exports.deserializeAiLlmEndpointParamsOpenAiInput = deserializeAiLlmEndpointParamsOpenAiInput;
const errors_1 = require("../box/errors");
const json_1 = require("../serialization/json");
const json_2 = require("../serialization/json");
const json_3 = require("../serialization/json");
class AiLlmEndpointParamsOpenAi {
/**
* The type of the AI LLM endpoint params object for OpenAI.
* This parameter is **required**. */
type = 'openai_params';
/**
* 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;
/**
* 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. */
topP;
/**
* 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. */
frequencyPenalty;
/**
* 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. */
presencePenalty;
/**
* Up to 4 sequences where the API will stop generating further tokens. */
stop;
rawData;
constructor(fields) {
if (fields.type !== undefined) {
this.type = fields.type;
}
if (fields.temperature !== undefined) {
this.temperature = fields.temperature;
}
if (fields.topP !== undefined) {
this.topP = fields.topP;
}
if (fields.frequencyPenalty !== undefined) {
this.frequencyPenalty = fields.frequencyPenalty;
}
if (fields.presencePenalty !== undefined) {
this.presencePenalty = fields.presencePenalty;
}
if (fields.stop !== undefined) {
this.stop = fields.stop;
}
if (fields.rawData !== undefined) {
this.rawData = fields.rawData;
}
}
}
exports.AiLlmEndpointParamsOpenAi = AiLlmEndpointParamsOpenAi;
function serializeAiLlmEndpointParamsOpenAiTypeField(val) {
return val;
}
function deserializeAiLlmEndpointParamsOpenAiTypeField(val) {
if (val == 'openai_params') {
return val;
}
throw new errors_1.BoxSdkError({
message: "Can't deserialize AiLlmEndpointParamsOpenAiTypeField",
});
}
function serializeAiLlmEndpointParamsOpenAi(val) {
return {
['type']: serializeAiLlmEndpointParamsOpenAiTypeField(val.type),
['temperature']: val.temperature,
['top_p']: val.topP,
['frequency_penalty']: val.frequencyPenalty,
['presence_penalty']: val.presencePenalty,
['stop']: val.stop,
};
}
function deserializeAiLlmEndpointParamsOpenAi(val) {
if (!(0, json_3.sdIsMap)(val)) {
throw new errors_1.BoxSdkError({
message: 'Expecting a map for "AiLlmEndpointParamsOpenAi"',
});
}
if (val.type == void 0) {
throw new errors_1.BoxSdkError({
message: 'Expecting "type" of type "AiLlmEndpointParamsOpenAi" to be defined',
});
}
const type = deserializeAiLlmEndpointParamsOpenAiTypeField(val.type);
if (!(val.temperature == void 0) && !(0, json_1.sdIsNumber)(val.temperature)) {
throw new errors_1.BoxSdkError({
message: 'Expecting number for "temperature" of type "AiLlmEndpointParamsOpenAi"',
});
}
const temperature = val.temperature == void 0 ? void 0 : val.temperature;
if (!(val.top_p == void 0) && !(0, json_1.sdIsNumber)(val.top_p)) {
throw new errors_1.BoxSdkError({
message: 'Expecting number for "top_p" of type "AiLlmEndpointParamsOpenAi"',
});
}
const topP = val.top_p == void 0 ? void 0 : val.top_p;
if (!(val.frequency_penalty == void 0) &&
!(0, json_1.sdIsNumber)(val.frequency_penalty)) {
throw new errors_1.BoxSdkError({
message: 'Expecting number for "frequency_penalty" of type "AiLlmEndpointParamsOpenAi"',
});
}
const frequencyPenalty = val.frequency_penalty == void 0 ? void 0 : val.frequency_penalty;
if (!(val.presence_penalty == void 0) && !(0, json_1.sdIsNumber)(val.presence_penalty)) {
throw new errors_1.BoxSdkError({
message: 'Expecting number for "presence_penalty" of type "AiLlmEndpointParamsOpenAi"',
});
}
const presencePenalty = val.presence_penalty == void 0 ? void 0 : val.presence_penalty;
if (!(val.stop == void 0) && !(0, json_2.sdIsString)(val.stop)) {
throw new errors_1.BoxSdkError({
message: 'Expecting string for "stop" of type "AiLlmEndpointParamsOpenAi"',
});
}
const stop = val.stop == void 0 ? void 0 : val.stop;
return {
type: type,
temperature: temperature,
topP: topP,
frequencyPenalty: frequencyPenalty,
presencePenalty: presencePenalty,
stop: stop,
};
}
function serializeAiLlmEndpointParamsOpenAiInput(val) {
return {
['type']: val.type == void 0
? val.type
: serializeAiLlmEndpointParamsOpenAiTypeField(val.type),
['temperature']: val.temperature,
['top_p']: val.topP,
['frequency_penalty']: val.frequencyPenalty,
['presence_penalty']: val.presencePenalty,
['stop']: val.stop,
};
}
function deserializeAiLlmEndpointParamsOpenAiInput(val) {
if (!(0, json_3.sdIsMap)(val)) {
throw new errors_1.BoxSdkError({
message: 'Expecting a map for "AiLlmEndpointParamsOpenAiInput"',
});
}
const type = val.type == void 0
? void 0
: deserializeAiLlmEndpointParamsOpenAiTypeField(val.type);
if (!(val.temperature == void 0) && !(0, json_1.sdIsNumber)(val.temperature)) {
throw new errors_1.BoxSdkError({
message: 'Expecting number for "temperature" of type "AiLlmEndpointParamsOpenAiInput"',
});
}
const temperature = val.temperature == void 0 ? void 0 : val.temperature;
if (!(val.top_p == void 0) && !(0, json_1.sdIsNumber)(val.top_p)) {
throw new errors_1.BoxSdkError({
message: 'Expecting number for "top_p" of type "AiLlmEndpointParamsOpenAiInput"',
});
}
const topP = val.top_p == void 0 ? void 0 : val.top_p;
if (!(val.frequency_penalty == void 0) &&
!(0, json_1.sdIsNumber)(val.frequency_penalty)) {
throw new errors_1.BoxSdkError({
message: 'Expecting number for "frequency_penalty" of type "AiLlmEndpointParamsOpenAiInput"',
});
}
const frequencyPenalty = val.frequency_penalty == void 0 ? void 0 : val.frequency_penalty;
if (!(val.presence_penalty == void 0) && !(0, json_1.sdIsNumber)(val.presence_penalty)) {
throw new errors_1.BoxSdkError({
message: 'Expecting number for "presence_penalty" of type "AiLlmEndpointParamsOpenAiInput"',
});
}
const presencePenalty = val.presence_penalty == void 0 ? void 0 : val.presence_penalty;
if (!(val.stop == void 0) && !(0, json_2.sdIsString)(val.stop)) {
throw new errors_1.BoxSdkError({
message: 'Expecting string for "stop" of type "AiLlmEndpointParamsOpenAiInput"',
});
}
const stop = val.stop == void 0 ? void 0 : val.stop;
return {
type: type,
temperature: temperature,
topP: topP,
frequencyPenalty: frequencyPenalty,
presencePenalty: presencePenalty,
stop: stop,
};
}
//# sourceMappingURL=aiLlmEndpointParamsOpenAi.js.map