// CRITICALimport { config as loadEnvironment } from "dotenv";import { z } from "zod";import { existsSync } from "node:fs";import { basename, resolve } from "node:path"; /** * Runtime configuration for the controller. */export interface Config {  host: string;  port: number;  api_key?: string;  inference_port: number;  data_dir: string;  db_path: string;  models_dir: string;  sglang_python?: string;  tabby_api_dir?: string;} /** * Load the closest .env file from current or parent directories. * @returns The loaded .env path or undefined. */export const loadDotEnvironment = (): string | undefined => {  const candidates = [    resolve(process.cwd(), ".env"),    resolve(process.cwd(), "..", ".env"),    resolve(process.cwd(), "..", "..", ".env"),  ];   const envPath = candidates.find((pathValue) => existsSync(pathValue));  if (envPath) {    loadEnvironment({ path: envPath });  }  return envPath;}; /** * Create a validated runtime configuration from environment variables. * @returns Validated configuration object. */export const createConfig = (): Config => {  loadDotEnvironment();   const cwd = process.cwd();  const localDataDirectory = resolve(cwd, "data");  const parentDataDirectory = resolve(cwd, "..", "data");  const defaultDataDirectory =    basename(cwd) === "controller" && existsSync(parentDataDirectory)      ? parentDataDirectory      : localDataDirectory;  const defaultDatabasePath = resolve(defaultDataDirectory, "controller.db");   const schema = z.object({    VLLM_STUDIO_HOST: z.string().default("0.0.0.0"),    VLLM_STUDIO_PORT: z.coerce.number().int().positive().default(8080),    VLLM_STUDIO_API_KEY: z.string().optional(),    VLLM_STUDIO_INFERENCE_PORT: z.coerce.number().int().positive().default(8000),    VLLM_STUDIO_DATA_DIR: z.string().default(defaultDataDirectory),    VLLM_STUDIO_DB_PATH: z.string().default(defaultDatabasePath),    VLLM_STUDIO_MODELS_DIR: z.string().default("/models"),    VLLM_STUDIO_SGLANG_PYTHON: z.string().optional(),    VLLM_STUDIO_TABBY_API_DIR: z.string().optional(),  });   const parsed = schema.parse(process.env);   const config: Config = {    host: parsed.VLLM_STUDIO_HOST,    port: parsed.VLLM_STUDIO_PORT,    inference_port: parsed.VLLM_STUDIO_INFERENCE_PORT,    data_dir: resolve(parsed.VLLM_STUDIO_DATA_DIR),    db_path: resolve(parsed.VLLM_STUDIO_DB_PATH),    models_dir: resolve(parsed.VLLM_STUDIO_MODELS_DIR),  };   if (parsed.VLLM_STUDIO_API_KEY) {    config.api_key = parsed.VLLM_STUDIO_API_KEY;  }  if (parsed.VLLM_STUDIO_SGLANG_PYTHON) {    config.sglang_python = parsed.VLLM_STUDIO_SGLANG_PYTHON;  }  if (parsed.VLLM_STUDIO_TABBY_API_DIR) {    config.tabby_api_dir = parsed.VLLM_STUDIO_TABBY_API_DIR;  }   return config;};