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@dasheck0/openai-api

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A tiny client module for the openAI API

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"use strict"; var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) { function adopt(value) { return value instanceof P ? value : new P(function (resolve) { resolve(value); }); } return new (P || (P = Promise))(function (resolve, reject) { function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } } function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } } function step(result) { result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected); } step((generator = generator.apply(thisArg, _arguments || [])).next()); }); }; var __generator = (this && this.__generator) || function (thisArg, body) { var _ = { label: 0, sent: function() { if (t[0] & 1) throw t[1]; return t[1]; }, trys: [], ops: [] }, f, y, t, g; return g = { next: verb(0), "throw": verb(1), "return": verb(2) }, typeof Symbol === "function" && (g[Symbol.iterator] = function() { return this; }), g; function verb(n) { return function (v) { return step([n, v]); }; } function step(op) { if (f) throw new TypeError("Generator is already executing."); while (_) try { if (f = 1, y && (t = op[0] & 2 ? y["return"] : op[0] ? y["throw"] || ((t = y["return"]) && t.call(y), 0) : y.next) && !(t = t.call(y, op[1])).done) return t; if (y = 0, t) op = [op[0] & 2, t.value]; switch (op[0]) { case 0: case 1: t = op; break; case 4: _.label++; return { value: op[1], done: false }; case 5: _.label++; y = op[1]; op = [0]; continue; case 7: op = _.ops.pop(); _.trys.pop(); continue; default: if (!(t = _.trys, t = t.length > 0 && t[t.length - 1]) && (op[0] === 6 || op[0] === 2)) { _ = 0; continue; } if (op[0] === 3 && (!t || (op[1] > t[0] && op[1] < t[3]))) { _.label = op[1]; break; } if (op[0] === 6 && _.label < t[1]) { _.label = t[1]; t = op; break; } if (t && _.label < t[2]) { _.label = t[2]; _.ops.push(op); break; } if (t[2]) _.ops.pop(); _.trys.pop(); continue; } op = body.call(thisArg, _); } catch (e) { op = [6, e]; y = 0; } finally { f = t = 0; } if (op[0] & 5) throw op[1]; return { value: op[0] ? op[1] : void 0, done: true }; } }; Object.defineProperty(exports, "__esModule", { value: true }); var config = require("./config"); var axios = require("axios"); var DEFAULT_ENGINE = "davinci"; var OpenAI = /** @class */ (function () { function OpenAI(apiKey) { this.apiKey = apiKey; } OpenAI.prototype._send_request = function (url, method, opts) { if (opts === void 0) { opts = {}; } return __awaiter(this, void 0, void 0, function () { var data; return __generator(this, function (_a) { switch (_a.label) { case 0: return [4 /*yield*/, axios({ url: url, headers: { Authorization: "Bearer ".concat(this.apiKey), "Content-Type": "application/json", }, data: Object.keys(opts).length ? opts : "", method: method, })]; case 1: data = (_a.sent()).data; return [2 /*return*/, data]; } }); }); }; OpenAI.prototype._check_embeddings_engine_name = function (model) { var availableEngineNames = [ "text-similarity-ada-001", "text-similarity-babbage-001", "text-similarity-curie-001", "text-similarity-davinci-001", "text-search-ada-doc-001", "text-search-ada-query-001", "text-search-babbage-doc-001", "text-search-babbage-query-001", "text-search-curie-doc-001", "text-search-curie-query-001", "text-search-davinci-doc-001", "text-search-davinci-query-001", "code-search-ada-code-001", "code-search-ada-text-001", "code-search-babbage-code-001", "code-search-babbage-text-001", ]; if (!availableEngineNames.includes(model)) { throw new Error("Unknown engine name for embeddings. Available engine names are ".concat(availableEngineNames)); } }; OpenAI.prototype.complete = function (opts) { return __awaiter(this, void 0, void 0, function () { var url; return __generator(this, function (_a) { url = config.completionURL(); return [2 /*return*/, this._send_request(url, "post", opts)]; }); }); }; OpenAI.prototype.encode = function () { // This method is no longer supported in Node>=v14. See return Promise.resolve(new Array(2047).fill("")); }; OpenAI.prototype.search = function (opts) { return __awaiter(this, void 0, void 0, function () { var url; return __generator(this, function (_a) { url = config.searchURL(opts.engine_id || DEFAULT_ENGINE); return [2 /*return*/, this._send_request(url, "post", opts)]; }); }); }; OpenAI.prototype.answers = function (opts) { return __awaiter(this, void 0, void 0, function () { var url; return __generator(this, function (_a) { url = config.answersUrl(); return [2 /*return*/, this._send_request(url, "post", opts)]; }); }); }; OpenAI.prototype.classification = function (opts) { return __awaiter(this, void 0, void 0, function () { var url; return __generator(this, function (_a) { url = config.classificationsUrl(); return [2 /*return*/, this._send_request(url, "post", opts)]; }); }); }; OpenAI.prototype.engines = function () { return __awaiter(this, void 0, void 0, function () { var url; return __generator(this, function (_a) { url = config.enginesUrl(); return [2 /*return*/, this._send_request(url, "get")]; }); }); }; OpenAI.prototype.engine = function (engine) { return __awaiter(this, void 0, void 0, function () { var url; return __generator(this, function (_a) { url = config.engineUrl(engine); return [2 /*return*/, this._send_request(url, "get")]; }); }); }; OpenAI.prototype.embeddings = function (opts) { return __awaiter(this, void 0, void 0, function () { var url; return __generator(this, function (_a) { this._check_embeddings_engine_name(opts.model); url = config.embeddingsUrl(opts.model); return [2 /*return*/, this._send_request(url, "post", opts)]; }); }); }; return OpenAI; }()); exports.default = OpenAI;