import * as api from './api'; const COMMANDS: Record<string, () => Promise<void>> = {  status: async () => console.log(JSON.stringify(await api.fetchStatus(), null, 2)),  gpus: async () => console.log(JSON.stringify(await api.fetchGPUs(), null, 2)),  recipes: async () => console.log(JSON.stringify(await api.fetchRecipes(), null, 2)),  config: async () => console.log(JSON.stringify(await api.fetchConfig(), null, 2)),  metrics: async () => console.log(JSON.stringify(await api.fetchLifetimeMetrics(), null, 2)),  evict: async () => {    const ok = await api.evictModel();    console.log(JSON.stringify({ success: ok }));    process.exit(ok ? 0 : 1);  },  launch: async () => {    const id = process.argv[3];    if (!id) { console.error('Usage: vllm-studio launch <recipe-id>'); process.exit(1); }    const ok = await api.launchRecipe(id);    console.log(JSON.stringify({ success: ok, recipe_id: id }));    process.exit(ok ? 0 : 1);  },  help: async () => {    console.log(`vllm-studio - Model lifecycle management CLI Commands:  status    Show current model status  gpus      List GPUs with memory/utilization  recipes   List available model recipes  config    Show system configuration  metrics   Show lifetime metrics  launch    Launch recipe: vllm-studio launch <id>  evict     Stop running model  help      Show this help Environment:  VLLM_STUDIO_URL  Controller URL (default: http://localhost:8080) Run without arguments for interactive TUI mode.`);  },}; export async function runHeadless(): Promise<void> {  const cmd = process.argv[2] || 'help';  const handler = COMMANDS[cmd];  if (!handler) {    console.error(`Unknown command: ${cmd}\nRun 'vllm-studio help' for usage.`);    process.exit(1);  }  await handler();}