mirror of
https://github.com/ikechan8370/chatgpt-plugin.git
synced 2025-12-16 21:37:11 +00:00
614 lines
36 KiB
JavaScript
614 lines
36 KiB
JavaScript
var __assign = (this && this.__assign) || function () {
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__assign = Object.assign || function(t) {
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for (var s, i = 1, n = arguments.length; i < n; i++) {
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s = arguments[i];
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for (var p in s) if (Object.prototype.hasOwnProperty.call(s, p))
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t[p] = s[p];
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}
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return t;
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};
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return __assign.apply(this, arguments);
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};
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var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) {
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function adopt(value) { return value instanceof P ? value : new P(function (resolve) { resolve(value); }); }
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return new (P || (P = Promise))(function (resolve, reject) {
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function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } }
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function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } }
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function step(result) { result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected); }
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step((generator = generator.apply(thisArg, _arguments || [])).next());
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});
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};
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var __generator = (this && this.__generator) || function (thisArg, body) {
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var _ = { label: 0, sent: function() { if (t[0] & 1) throw t[1]; return t[1]; }, trys: [], ops: [] }, f, y, t, g;
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return g = { next: verb(0), "throw": verb(1), "return": verb(2) }, typeof Symbol === "function" && (g[Symbol.iterator] = function() { return this; }), g;
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function verb(n) { return function (v) { return step([n, v]); }; }
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function step(op) {
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if (f) throw new TypeError("Generator is already executing.");
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while (g && (g = 0, op[0] && (_ = 0)), _) try {
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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;
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if (y = 0, t) op = [op[0] & 2, t.value];
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switch (op[0]) {
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case 0: case 1: t = op; break;
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case 4: _.label++; return { value: op[1], done: false };
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case 5: _.label++; y = op[1]; op = [0]; continue;
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case 7: op = _.ops.pop(); _.trys.pop(); continue;
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default:
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if (!(t = _.trys, t = t.length > 0 && t[t.length - 1]) && (op[0] === 6 || op[0] === 2)) { _ = 0; continue; }
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if (op[0] === 3 && (!t || (op[1] > t[0] && op[1] < t[3]))) { _.label = op[1]; break; }
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if (op[0] === 6 && _.label < t[1]) { _.label = t[1]; t = op; break; }
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if (t && _.label < t[2]) { _.label = t[2]; _.ops.push(op); break; }
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if (t[2]) _.ops.pop();
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_.trys.pop(); continue;
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}
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op = body.call(thisArg, _);
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} catch (e) { op = [6, e]; y = 0; } finally { f = t = 0; }
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if (op[0] & 5) throw op[1]; return { value: op[0] ? op[1] : void 0, done: true };
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}
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};
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var __spreadArray = (this && this.__spreadArray) || function (to, from, pack) {
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if (pack || arguments.length === 2) for (var i = 0, l = from.length, ar; i < l; i++) {
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if (ar || !(i in from)) {
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if (!ar) ar = Array.prototype.slice.call(from, 0, i);
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ar[i] = from[i];
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}
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}
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return to.concat(ar || Array.prototype.slice.call(from));
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};
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import Keyv from 'keyv';
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import pTimeout from 'p-timeout';
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import QuickLRU from 'quick-lru';
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import { v4 as uuidv4 } from 'uuid';
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import * as tokenizer from './tokenizer.js';
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import * as types from './types.js';
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import globalFetch from 'node-fetch';
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import { fetchSSE } from './fetch-sse.js';
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var CHATGPT_MODEL = 'gpt-3.5-turbo-0613';
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var USER_LABEL_DEFAULT = 'User';
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var ASSISTANT_LABEL_DEFAULT = 'ChatGPT';
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var ChatGPTAPI = /** @class */ (function () {
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/**
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* Creates a new client wrapper around OpenAI's chat completion API, mimicing the official ChatGPT webapp's functionality as closely as possible.
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*
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* @param apiKey - OpenAI API key (required).
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* @param apiOrg - Optional OpenAI API organization (optional).
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* @param apiBaseUrl - Optional override for the OpenAI API base URL.
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* @param debug - Optional enables logging debugging info to stdout.
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* @param completionParams - Param overrides to send to the [OpenAI chat completion API](https://platform.openai.com/docs/api-reference/chat/create). Options like `temperature` and `presence_penalty` can be tweaked to change the personality of the assistant.
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* @param maxModelTokens - Optional override for the maximum number of tokens allowed by the model's context. Defaults to 4096.
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* @param maxResponseTokens - Optional override for the minimum number of tokens allowed for the model's response. Defaults to 1000.
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* @param messageStore - Optional [Keyv](https://github.com/jaredwray/keyv) store to persist chat messages to. If not provided, messages will be lost when the process exits.
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* @param getMessageById - Optional function to retrieve a message by its ID. If not provided, the default implementation will be used (using an in-memory `messageStore`).
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* @param upsertMessage - Optional function to insert or update a message. If not provided, the default implementation will be used (using an in-memory `messageStore`).
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* @param fetch - Optional override for the `fetch` implementation to use. Defaults to the global `fetch` function.
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*/
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function ChatGPTAPI(opts) {
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var apiKey = opts.apiKey, apiOrg = opts.apiOrg, _a = opts.apiBaseUrl, apiBaseUrl = _a === void 0 ? 'https://api.openai.com/v1' : _a, _b = opts.debug, debug = _b === void 0 ? false : _b, messageStore = opts.messageStore, completionParams = opts.completionParams, systemMessage = opts.systemMessage, _c = opts.maxModelTokens, maxModelTokens = _c === void 0 ? 4000 : _c, _d = opts.maxResponseTokens, maxResponseTokens = _d === void 0 ? 1000 : _d, getMessageById = opts.getMessageById, upsertMessage = opts.upsertMessage, _e = opts.fetch, fetch = _e === void 0 ? globalFetch : _e;
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this._apiKey = apiKey;
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this._apiOrg = apiOrg;
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this._apiBaseUrl = apiBaseUrl;
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this._debug = !!debug;
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this._fetch = fetch;
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this._completionParams = __assign({ model: CHATGPT_MODEL, temperature: 0.8, top_p: 1.0, presence_penalty: 1.0 }, completionParams);
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this._systemMessage = systemMessage;
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if (this._systemMessage === undefined) {
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var currentDate = new Date().toISOString().split('T')[0];
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this._systemMessage = "You are ChatGPT, a large language model trained by OpenAI. Answer as concisely as possible.\nKnowledge cutoff: 2021-09-01\nCurrent date: ".concat(currentDate);
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}
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this._maxModelTokens = maxModelTokens;
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this._maxResponseTokens = maxResponseTokens;
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this._getMessageById = getMessageById !== null && getMessageById !== void 0 ? getMessageById : this._defaultGetMessageById;
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this._upsertMessage = upsertMessage !== null && upsertMessage !== void 0 ? upsertMessage : this._defaultUpsertMessage;
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if (messageStore) {
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this._messageStore = messageStore;
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}
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else {
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this._messageStore = new Keyv({
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store: new QuickLRU({ maxSize: 10000 })
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});
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}
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if (!this._apiKey) {
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throw new Error('OpenAI missing required apiKey');
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}
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if (!this._fetch) {
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throw new Error('Invalid environment; fetch is not defined');
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}
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if (typeof this._fetch !== 'function') {
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throw new Error('Invalid "fetch" is not a function');
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}
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}
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/**
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* Sends a message to the OpenAI chat completions endpoint, waits for the response
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* to resolve, and returns the response.
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*
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* If you want your response to have historical context, you must provide a valid `parentMessageId`.
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*
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* If you want to receive a stream of partial responses, use `opts.onProgress`.
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*
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* Set `debug: true` in the `ChatGPTAPI` constructor to log more info on the full prompt sent to the OpenAI chat completions API. You can override the `systemMessage` in `opts` to customize the assistant's instructions.
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*
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* @param message - The prompt message to send
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* @param opts.parentMessageId - Optional ID of the previous message in the conversation (defaults to `undefined`)
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* @param opts.conversationId - Optional ID of the conversation (defaults to `undefined`)
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* @param opts.messageId - Optional ID of the message to send (defaults to a random UUID)
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* @param opts.systemMessage - Optional override for the chat "system message" which acts as instructions to the model (defaults to the ChatGPT system message)
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* @param opts.timeoutMs - Optional timeout in milliseconds (defaults to no timeout)
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* @param opts.onProgress - Optional callback which will be invoked every time the partial response is updated
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* @param opts.abortSignal - Optional callback used to abort the underlying `fetch` call using an [AbortController](https://developer.mozilla.org/en-US/docs/Web/API/AbortController)
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* @param completionParams - Optional overrides to send to the [OpenAI chat completion API](https://platform.openai.com/docs/api-reference/chat/create). Options like `temperature` and `presence_penalty` can be tweaked to change the personality of the assistant.
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*
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* @returns The response from ChatGPT
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*/
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ChatGPTAPI.prototype.sendMessage = function (text, opts, role) {
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if (opts === void 0) { opts = {}; }
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if (role === void 0) { role = 'user'; }
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return __awaiter(this, void 0, void 0, function () {
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var parentMessageId, _a, messageId, timeoutMs, onProgress, _b, stream, completionParams, conversationId, abortSignal, abortController, message, latestQuestion, _c, messages, maxTokens, numTokens, result, responseP;
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var _this = this;
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return __generator(this, function (_d) {
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switch (_d.label) {
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case 0:
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parentMessageId = opts.parentMessageId, _a = opts.messageId, messageId = _a === void 0 ? uuidv4() : _a, timeoutMs = opts.timeoutMs, onProgress = opts.onProgress, _b = opts.stream, stream = _b === void 0 ? onProgress ? true : false : _b, completionParams = opts.completionParams, conversationId = opts.conversationId;
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abortSignal = opts.abortSignal;
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abortController = null;
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if (timeoutMs && !abortSignal) {
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abortController = new AbortController();
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abortSignal = abortController.signal;
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}
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message = {
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role: role,
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id: messageId,
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conversationId: conversationId,
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parentMessageId: parentMessageId,
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text: text,
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name: opts.name
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};
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latestQuestion = message;
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return [4 /*yield*/, this._buildMessages(text, role, opts, completionParams)];
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case 1:
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_c = _d.sent(), messages = _c.messages, maxTokens = _c.maxTokens, numTokens = _c.numTokens;
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console.log("maxTokens: ".concat(maxTokens, ", numTokens: ").concat(numTokens));
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result = {
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role: 'assistant',
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id: uuidv4(),
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conversationId: conversationId,
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parentMessageId: messageId,
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text: '',
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functionCall: undefined,
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conversation: []
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};
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responseP = new Promise(function (resolve, reject) { return __awaiter(_this, void 0, void 0, function () {
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var url, headers, body, res, reason, msg, error, response, message_1, res_1, err_1;
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var _a, _b;
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return __generator(this, function (_c) {
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switch (_c.label) {
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case 0:
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url = "".concat(this._apiBaseUrl, "/chat/completions");
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headers = {
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'Content-Type': 'application/json',
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Authorization: "Bearer ".concat(this._apiKey)
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};
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body = __assign(__assign(__assign({ max_tokens: maxTokens }, this._completionParams), completionParams), { messages: messages, stream: stream });
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if (this._debug) {
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console.log(JSON.stringify(body));
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}
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// Support multiple organizations
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// See https://platform.openai.com/docs/api-reference/authentication
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if (this._apiOrg) {
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headers['OpenAI-Organization'] = this._apiOrg;
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}
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if (this._debug) {
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console.log("sendMessage (".concat(numTokens, " tokens)"), body);
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}
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if (!stream) return [3 /*break*/, 1];
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fetchSSE(url, {
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method: 'POST',
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headers: headers,
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body: JSON.stringify(body),
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signal: abortSignal,
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onMessage: function (data) {
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var _a;
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if (data === '[DONE]') {
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result.text = result.text.trim();
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result.conversation = messages;
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return resolve(result);
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}
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try {
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var response = JSON.parse(data);
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if (response.id) {
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result.id = response.id;
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}
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if ((_a = response.choices) === null || _a === void 0 ? void 0 : _a.length) {
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var delta = response.choices[0].delta;
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if (delta.function_call) {
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if (delta.function_call.name) {
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result.functionCall = {
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name: delta.function_call.name,
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arguments: delta.function_call.arguments
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};
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}
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else {
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result.functionCall.arguments = (result.functionCall.arguments || '') + delta.function_call.arguments;
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}
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}
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else {
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result.delta = delta.content;
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if (delta === null || delta === void 0 ? void 0 : delta.content)
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result.text += delta.content;
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}
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if (delta.role) {
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result.role = delta.role;
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}
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result.detail = response;
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onProgress === null || onProgress === void 0 ? void 0 : onProgress(result);
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}
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}
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catch (err) {
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console.warn('OpenAI stream SEE event unexpected error', err);
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return reject(err);
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}
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}
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}, this._fetch).catch(reject);
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return [3 /*break*/, 7];
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case 1:
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_c.trys.push([1, 6, , 7]);
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return [4 /*yield*/, this._fetch(url, {
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method: 'POST',
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headers: headers,
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body: JSON.stringify(body),
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signal: abortSignal
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})];
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case 2:
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res = _c.sent();
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if (!!res.ok) return [3 /*break*/, 4];
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return [4 /*yield*/, res.text()];
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case 3:
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reason = _c.sent();
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msg = "OpenAI error ".concat(res.status || res.statusText, ": ").concat(reason);
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error = new types.ChatGPTError(msg, { cause: res });
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error.statusCode = res.status;
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error.statusText = res.statusText;
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return [2 /*return*/, reject(error)];
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case 4: return [4 /*yield*/, res.json()];
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case 5:
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response = _c.sent();
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if (this._debug) {
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console.log(response);
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}
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if (response === null || response === void 0 ? void 0 : response.id) {
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result.id = response.id;
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}
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if ((_a = response === null || response === void 0 ? void 0 : response.choices) === null || _a === void 0 ? void 0 : _a.length) {
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message_1 = response.choices[0].message;
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if (message_1.content) {
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result.text = message_1.content;
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}
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else if (message_1.function_call) {
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result.functionCall = message_1.function_call;
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}
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if (message_1.role) {
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result.role = message_1.role;
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}
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}
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else {
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res_1 = response;
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console.error(res_1);
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return [2 /*return*/, reject(new Error("OpenAI error: ".concat(((_b = res_1 === null || res_1 === void 0 ? void 0 : res_1.detail) === null || _b === void 0 ? void 0 : _b.message) || (res_1 === null || res_1 === void 0 ? void 0 : res_1.detail) || 'unknown')))];
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}
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result.detail = response;
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result.conversation = messages;
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return [2 /*return*/, resolve(result)];
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case 6:
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err_1 = _c.sent();
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return [2 /*return*/, reject(err_1)];
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case 7: return [2 /*return*/];
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}
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});
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}); }).then(function (message) { return __awaiter(_this, void 0, void 0, function () {
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var promptTokens, completionTokens, err_2;
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return __generator(this, function (_a) {
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switch (_a.label) {
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case 0:
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if (!(message.detail && !message.detail.usage)) return [3 /*break*/, 4];
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_a.label = 1;
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case 1:
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_a.trys.push([1, 3, , 4]);
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promptTokens = numTokens;
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return [4 /*yield*/, this._getTokenCount(message.text)];
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case 2:
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completionTokens = _a.sent();
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message.detail.usage = {
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prompt_tokens: promptTokens,
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completion_tokens: completionTokens,
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total_tokens: promptTokens + completionTokens,
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estimated: true
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};
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return [3 /*break*/, 4];
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case 3:
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err_2 = _a.sent();
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return [3 /*break*/, 4];
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case 4: return [2 /*return*/, Promise.all([
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this._upsertMessage(latestQuestion),
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this._upsertMessage(message)
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]).then(function () { return message; })];
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}
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});
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}); });
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if (timeoutMs) {
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if (abortController) {
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// This will be called when a timeout occurs in order for us to forcibly
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// ensure that the underlying HTTP request is aborted.
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;
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responseP.cancel = function () {
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abortController.abort();
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};
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}
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return [2 /*return*/, pTimeout(responseP, {
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milliseconds: timeoutMs,
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message: 'OpenAI timed out waiting for response'
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})];
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}
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else {
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return [2 /*return*/, responseP];
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}
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return [2 /*return*/];
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}
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});
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});
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};
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Object.defineProperty(ChatGPTAPI.prototype, "apiKey", {
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get: function () {
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return this._apiKey;
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},
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set: function (apiKey) {
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this._apiKey = apiKey;
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},
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enumerable: false,
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configurable: true
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});
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Object.defineProperty(ChatGPTAPI.prototype, "apiOrg", {
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get: function () {
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return this._apiOrg;
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},
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set: function (apiOrg) {
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this._apiOrg = apiOrg;
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},
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enumerable: false,
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configurable: true
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});
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ChatGPTAPI.prototype._buildMessages = function (text, role, opts, completionParams) {
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var _a, _b;
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return __awaiter(this, void 0, void 0, function () {
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var _c, systemMessage, parentMessageId, userLabel, assistantLabel, maxNumTokens, messages, systemMessageOffset, nextMessages, functionToken, numTokens, _i, _d, func, _e, _f, _g, _h, key, _j, property, _k, _l, field, _m, _o, _p, _q, _r, enumElement, _s, _t, _u, string, _v, prompt_1, nextNumTokensEstimate, _w, _x, m1, _y, isValidPrompt, parentMessage, parentMessageRole, maxTokens;
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return __generator(this, function (_z) {
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switch (_z.label) {
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case 0:
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_c = opts.systemMessage, systemMessage = _c === void 0 ? this._systemMessage : _c;
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parentMessageId = opts.parentMessageId;
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userLabel = USER_LABEL_DEFAULT;
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assistantLabel = ASSISTANT_LABEL_DEFAULT;
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maxNumTokens = this._maxModelTokens - this._maxResponseTokens;
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messages = [];
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if (systemMessage) {
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messages.push({
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role: 'system',
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content: systemMessage
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});
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}
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systemMessageOffset = messages.length;
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nextMessages = text
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? messages.concat([
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{
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role: role,
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content: text,
|
|
name: opts.name
|
|
}
|
|
])
|
|
: messages;
|
|
functionToken = 0;
|
|
numTokens = functionToken;
|
|
if (!completionParams.functions) return [3 /*break*/, 23];
|
|
_i = 0, _d = completionParams.functions;
|
|
_z.label = 1;
|
|
case 1:
|
|
if (!(_i < _d.length)) return [3 /*break*/, 23];
|
|
func = _d[_i];
|
|
_e = functionToken;
|
|
return [4 /*yield*/, this._getTokenCount(func === null || func === void 0 ? void 0 : func.name)];
|
|
case 2:
|
|
functionToken = _e + _z.sent();
|
|
_f = functionToken;
|
|
return [4 /*yield*/, this._getTokenCount(func === null || func === void 0 ? void 0 : func.description)];
|
|
case 3:
|
|
functionToken = _f + _z.sent();
|
|
if (!((_a = func === null || func === void 0 ? void 0 : func.parameters) === null || _a === void 0 ? void 0 : _a.properties)) return [3 /*break*/, 18];
|
|
_g = 0, _h = Object.keys(func.parameters.properties);
|
|
_z.label = 4;
|
|
case 4:
|
|
if (!(_g < _h.length)) return [3 /*break*/, 18];
|
|
key = _h[_g];
|
|
_j = functionToken;
|
|
return [4 /*yield*/, this._getTokenCount(key)];
|
|
case 5:
|
|
functionToken = _j + _z.sent();
|
|
property = func.parameters.properties[key];
|
|
_k = 0, _l = Object.keys(property);
|
|
_z.label = 6;
|
|
case 6:
|
|
if (!(_k < _l.length)) return [3 /*break*/, 17];
|
|
field = _l[_k];
|
|
_m = field;
|
|
switch (_m) {
|
|
case 'type': return [3 /*break*/, 7];
|
|
case 'description': return [3 /*break*/, 9];
|
|
case 'enum': return [3 /*break*/, 11];
|
|
}
|
|
return [3 /*break*/, 16];
|
|
case 7:
|
|
functionToken += 2;
|
|
_o = functionToken;
|
|
return [4 /*yield*/, this._getTokenCount(property === null || property === void 0 ? void 0 : property.type)];
|
|
case 8:
|
|
functionToken = _o + _z.sent();
|
|
return [3 /*break*/, 16];
|
|
case 9:
|
|
functionToken += 2;
|
|
_p = functionToken;
|
|
return [4 /*yield*/, this._getTokenCount(property === null || property === void 0 ? void 0 : property.description)];
|
|
case 10:
|
|
functionToken = _p + _z.sent();
|
|
return [3 /*break*/, 16];
|
|
case 11:
|
|
functionToken -= 3;
|
|
_q = 0, _r = property === null || property === void 0 ? void 0 : property.enum;
|
|
_z.label = 12;
|
|
case 12:
|
|
if (!(_q < _r.length)) return [3 /*break*/, 15];
|
|
enumElement = _r[_q];
|
|
functionToken += 3;
|
|
_s = functionToken;
|
|
return [4 /*yield*/, this._getTokenCount(enumElement)];
|
|
case 13:
|
|
functionToken = _s + _z.sent();
|
|
_z.label = 14;
|
|
case 14:
|
|
_q++;
|
|
return [3 /*break*/, 12];
|
|
case 15: return [3 /*break*/, 16];
|
|
case 16:
|
|
_k++;
|
|
return [3 /*break*/, 6];
|
|
case 17:
|
|
_g++;
|
|
return [3 /*break*/, 4];
|
|
case 18:
|
|
if (!((_b = func === null || func === void 0 ? void 0 : func.parameters) === null || _b === void 0 ? void 0 : _b.required)) return [3 /*break*/, 22];
|
|
_t = 0, _u = func.parameters.required;
|
|
_z.label = 19;
|
|
case 19:
|
|
if (!(_t < _u.length)) return [3 /*break*/, 22];
|
|
string = _u[_t];
|
|
functionToken += 2;
|
|
_v = functionToken;
|
|
return [4 /*yield*/, this._getTokenCount(string)];
|
|
case 20:
|
|
functionToken = _v + _z.sent();
|
|
_z.label = 21;
|
|
case 21:
|
|
_t++;
|
|
return [3 /*break*/, 19];
|
|
case 22:
|
|
_i++;
|
|
return [3 /*break*/, 1];
|
|
case 23:
|
|
prompt_1 = nextMessages
|
|
.reduce(function (prompt, message) {
|
|
switch (message.role) {
|
|
case 'system':
|
|
return prompt.concat(["Instructions:\n".concat(message.content)]);
|
|
case 'user':
|
|
return prompt.concat(["".concat(userLabel, ":\n").concat(message.content)]);
|
|
case 'function':
|
|
// leave befind
|
|
return prompt;
|
|
default:
|
|
return message.content ? prompt.concat(["".concat(assistantLabel, ":\n").concat(message.content)]) : prompt;
|
|
}
|
|
}, [])
|
|
.join('\n\n');
|
|
return [4 /*yield*/, this._getTokenCount(prompt_1)];
|
|
case 24:
|
|
nextNumTokensEstimate = _z.sent();
|
|
_w = 0, _x = nextMessages
|
|
.filter(function (m) { return m.function_call; });
|
|
_z.label = 25;
|
|
case 25:
|
|
if (!(_w < _x.length)) return [3 /*break*/, 28];
|
|
m1 = _x[_w];
|
|
_y = nextNumTokensEstimate;
|
|
return [4 /*yield*/, this._getTokenCount(JSON.stringify(m1.function_call) || '')];
|
|
case 26:
|
|
nextNumTokensEstimate = _y + _z.sent();
|
|
_z.label = 27;
|
|
case 27:
|
|
_w++;
|
|
return [3 /*break*/, 25];
|
|
case 28:
|
|
isValidPrompt = nextNumTokensEstimate + functionToken <= maxNumTokens;
|
|
if (prompt_1 && !isValidPrompt) {
|
|
return [3 /*break*/, 31];
|
|
}
|
|
messages = nextMessages;
|
|
numTokens = nextNumTokensEstimate + functionToken;
|
|
if (!isValidPrompt) {
|
|
return [3 /*break*/, 31];
|
|
}
|
|
if (!parentMessageId) {
|
|
return [3 /*break*/, 31];
|
|
}
|
|
return [4 /*yield*/, this._getMessageById(parentMessageId)];
|
|
case 29:
|
|
parentMessage = _z.sent();
|
|
if (!parentMessage) {
|
|
return [3 /*break*/, 31];
|
|
}
|
|
parentMessageRole = parentMessage.role || 'user';
|
|
nextMessages = nextMessages.slice(0, systemMessageOffset).concat(__spreadArray([
|
|
{
|
|
role: parentMessageRole,
|
|
content: parentMessage.text,
|
|
name: parentMessage.name,
|
|
function_call: parentMessage.functionCall ? parentMessage.functionCall : undefined
|
|
}
|
|
], nextMessages.slice(systemMessageOffset), true));
|
|
parentMessageId = parentMessage.parentMessageId;
|
|
_z.label = 30;
|
|
case 30:
|
|
if (true) return [3 /*break*/, 23];
|
|
_z.label = 31;
|
|
case 31:
|
|
maxTokens = Math.max(1, Math.min(this._maxModelTokens - numTokens, this._maxResponseTokens));
|
|
return [2 /*return*/, { messages: messages, maxTokens: maxTokens, numTokens: numTokens }];
|
|
}
|
|
});
|
|
});
|
|
};
|
|
ChatGPTAPI.prototype._getTokenCount = function (text) {
|
|
return __awaiter(this, void 0, void 0, function () {
|
|
return __generator(this, function (_a) {
|
|
if (!text) {
|
|
return [2 /*return*/, 0];
|
|
}
|
|
// TODO: use a better fix in the tokenizer
|
|
text = text.replace(/<\|endoftext\|>/g, '');
|
|
return [2 /*return*/, tokenizer.encode(text).length];
|
|
});
|
|
});
|
|
};
|
|
ChatGPTAPI.prototype._defaultGetMessageById = function (id) {
|
|
return __awaiter(this, void 0, void 0, function () {
|
|
var res;
|
|
return __generator(this, function (_a) {
|
|
switch (_a.label) {
|
|
case 0: return [4 /*yield*/, this._messageStore.get(id)];
|
|
case 1:
|
|
res = _a.sent();
|
|
return [2 /*return*/, res];
|
|
}
|
|
});
|
|
});
|
|
};
|
|
ChatGPTAPI.prototype._defaultUpsertMessage = function (message) {
|
|
return __awaiter(this, void 0, void 0, function () {
|
|
return __generator(this, function (_a) {
|
|
switch (_a.label) {
|
|
case 0: return [4 /*yield*/, this._messageStore.set(message.id, message)];
|
|
case 1:
|
|
_a.sent();
|
|
return [2 /*return*/];
|
|
}
|
|
});
|
|
});
|
|
};
|
|
return ChatGPTAPI;
|
|
}());
|
|
export { ChatGPTAPI };
|