box-node-sdk/lib-esm/schemas/aiLlmEndpointParamsAws.js

Official SDK for Box Platform APIs

"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
exports.AiLlmEndpointParamsAws = void 0;
exports.serializeAiLlmEndpointParamsAwsTypeField = serializeAiLlmEndpointParamsAwsTypeField;
exports.deserializeAiLlmEndpointParamsAwsTypeField = deserializeAiLlmEndpointParamsAwsTypeField;
exports.serializeAiLlmEndpointParamsAws = serializeAiLlmEndpointParamsAws;
exports.deserializeAiLlmEndpointParamsAws = deserializeAiLlmEndpointParamsAws;
exports.serializeAiLlmEndpointParamsAwsInput = serializeAiLlmEndpointParamsAwsInput;
exports.deserializeAiLlmEndpointParamsAwsInput = deserializeAiLlmEndpointParamsAwsInput;
const errors_1 = require("../box/errors");
const json_1 = require("../serialization/json");
const json_2 = require("../serialization/json");
class AiLlmEndpointParamsAws {
    /**
     * The type of the AI LLM endpoint params object for AWS.
     * This parameter is **required**. */
    type = 'aws_params';
    /**
     * What sampling temperature to use, between 0 and 1. 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;
    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.rawData !== undefined) {
            this.rawData = fields.rawData;
        }
    }
}
exports.AiLlmEndpointParamsAws = AiLlmEndpointParamsAws;
function serializeAiLlmEndpointParamsAwsTypeField(val) {
    return val;
}
function deserializeAiLlmEndpointParamsAwsTypeField(val) {
    if (val == 'aws_params') {
        return val;
    }
    throw new errors_1.BoxSdkError({
        message: "Can't deserialize AiLlmEndpointParamsAwsTypeField",
    });
}
function serializeAiLlmEndpointParamsAws(val) {
    return {
        ['type']: serializeAiLlmEndpointParamsAwsTypeField(val.type),
        ['temperature']: val.temperature,
        ['top_p']: val.topP,
    };
}
function deserializeAiLlmEndpointParamsAws(val) {
    if (!(0, json_2.sdIsMap)(val)) {
        throw new errors_1.BoxSdkError({
            message: 'Expecting a map for "AiLlmEndpointParamsAws"',
        });
    }
    if (val.type == void 0) {
        throw new errors_1.BoxSdkError({
            message: 'Expecting "type" of type "AiLlmEndpointParamsAws" to be defined',
        });
    }
    const type = deserializeAiLlmEndpointParamsAwsTypeField(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 "AiLlmEndpointParamsAws"',
        });
    }
    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 "AiLlmEndpointParamsAws"',
        });
    }
    const topP = val.top_p == void 0 ? void 0 : val.top_p;
    return {
        type: type,
        temperature: temperature,
        topP: topP,
    };
}
function serializeAiLlmEndpointParamsAwsInput(val) {
    return {
        ['type']: val.type == void 0
            ? val.type
            : serializeAiLlmEndpointParamsAwsTypeField(val.type),
        ['temperature']: val.temperature,
        ['top_p']: val.topP,
    };
}
function deserializeAiLlmEndpointParamsAwsInput(val) {
    if (!(0, json_2.sdIsMap)(val)) {
        throw new errors_1.BoxSdkError({
            message: 'Expecting a map for "AiLlmEndpointParamsAwsInput"',
        });
    }
    const type = val.type == void 0
        ? void 0
        : deserializeAiLlmEndpointParamsAwsTypeField(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 "AiLlmEndpointParamsAwsInput"',
        });
    }
    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 "AiLlmEndpointParamsAwsInput"',
        });
    }
    const topP = val.top_p == void 0 ? void 0 : val.top_p;
    return {
        type: type,
        temperature: temperature,
        topP: topP,
    };
}
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