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auto-gpt-ts

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my take of Auto-GPT in typescript

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"use strict"; var __createBinding = (this && this.__createBinding) || (Object.create ? (function(o, m, k, k2) { if (k2 === undefined) k2 = k; var desc = Object.getOwnPropertyDescriptor(m, k); if (!desc || ("get" in desc ? !m.__esModule : desc.writable || desc.configurable)) { desc = { enumerable: true, get: function() { return m[k]; } }; } Object.defineProperty(o, k2, desc); }) : (function(o, m, k, k2) { if (k2 === undefined) k2 = k; o[k2] = m[k]; })); var __setModuleDefault = (this && this.__setModuleDefault) || (Object.create ? (function(o, v) { Object.defineProperty(o, "default", { enumerable: true, value: v }); }) : function(o, v) { o["default"] = v; }); var __importStar = (this && this.__importStar) || function (mod) { if (mod && mod.__esModule) return mod; var result = {}; if (mod != null) for (var k in mod) if (k !== "default" && Object.prototype.hasOwnProperty.call(mod, k)) __createBinding(result, mod, k); __setModuleDefault(result, mod); return result; }; 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 __importDefault = (this && this.__importDefault) || function (mod) { return (mod && mod.__esModule) ? mod : { "default": mod }; }; Object.defineProperty(exports, "__esModule", { value: true }); exports.runAutoGpt = void 0; const logging_1 = require("./logging"); const agent_1 = require("./agent/agent"); const config_1 = require("./config/config"); const configurator_1 = require("./configurator"); const prompt_generator_1 = require("./prompt/prompt-generator"); const chalk_1 = __importDefault(require("chalk")); const Path = __importStar(require("path")); const fs = __importStar(require("fs")); const workspace_1 = require("./workspace/workspace"); const command_1 = require("./commands/command"); const prompt_base_1 = require("./prompt/prompt-base"); const memory_1 = require("./memory"); const logger = (0, logging_1.getLogger)("run-auto-gpt"); function runAutoGpt(continuous, continuousLimit, aiSettings, skipReprompt, speak, debug, gpt3only, gpt4only, memoryType, browserName, allowDownloads, skipNews, workspaceDirectory) { return __awaiter(this, void 0, void 0, function* () { const cfg = new config_1.Config(); const commandRegistry = yield importCommands(cfg); // TODO: fill in llm values here (0, configurator_1.createConfig)(continuous, continuousLimit, aiSettings, skipReprompt, speak, debug, gpt3only, gpt4only, memoryType, browserName, allowDownloads, skipNews); (0, config_1.checkOpenaiApiKey)(); if (!workspaceDirectory) { workspaceDirectory = Path.resolve(__dirname, "..", "auto_gpt_workspace"); } else { workspaceDirectory = Path.resolve(workspaceDirectory); } if (!fs.existsSync(workspaceDirectory)) { fs.mkdirSync(workspaceDirectory); } // TODO: pass in the ai_settings file and the env file and have them cloned into // the workspace directory so we can bind them to the agent. workspaceDirectory = workspace_1.Workspace.makeWorkspace(workspaceDirectory); cfg.workspacePath = workspaceDirectory; // HACK: doing this here to collect some globals that depend on the workspace. const fileLoggerPath = Path.resolve(workspaceDirectory, "file_logger.txt"); if (!fs.existsSync(fileLoggerPath)) { fs.writeFileSync(fileLoggerPath, "File Operation Logger "); } cfg.fileLoggerPath = fileLoggerPath; // logger.debug(`config: `, cfg) const aiName = ""; const aiConfig = yield (0, prompt_base_1.constructMainAiConfig)(); aiConfig.commandRegistry = commandRegistry; // Initialize variables const fullMessageHistory = []; let nextActionCount = 0; // Initialize memory and make sure it is empty. // this is particularly important for indexing and referencing pinecone memory const memory = (0, memory_1.getMemory)(); logger.info("Using memory of type: " + chalk_1.default.green(memory.constructor.name)); const systemPrompt = aiConfig.constructFullPrompt(); if (cfg.debugMode) { logger.info("Prompt: " + chalk_1.default.green(systemPrompt)); } const agent = new agent_1.Agent(aiName, memory, fullMessageHistory, nextActionCount, aiConfig, systemPrompt, prompt_generator_1.DEFAULT_TRIGGERING_PROMPT, workspaceDirectory); yield agent.startInteractionLoop(); }); } exports.runAutoGpt = runAutoGpt; const importCommands = (cfg) => __awaiter(void 0, void 0, void 0, function* () { const commandRegistry = new command_1.CommandRegistry(); const commandCategories = [ "./analyze-code", // "./audio-text", "./run-code", "./file-operations", "./git-operations", "./google-search", "./improve-code", "./browse-web", "./task-status", "./opts", ]; logger.debug(`The following command categories are disabled: ${cfg.disabledCommandCategories}`); const enabled_categories = commandCategories.filter((x) => !cfg.disabledCommandCategories.includes(x)); logger.debug(`The following command categories are enabled: ${enabled_categories}`); for (const command_category of enabled_categories) { yield commandRegistry.importCommands(command_category); } return commandRegistry; }); //# sourceMappingURL=main.js.map