WeLe Agentic AI with Docker deployment

src/server.js

@@ -17,6 +17,7 @@ import { ensureDir, sweep } from './output/artifactStore.js';
 import crmApi from './tools/http/crmApi.js';
 import { describeChains } from './orchestration/llm.js';
 import { attachVoice } from './gateway/voice.js';
+import { warmup as warmSpeech, speechStatus } from './speech/index.js';
 
 const app = express();
 
@@ -40,6 +41,7 @@ app.get('/health', async (_req, res) => {
     redis: redisOk ? redisMode() : 'unavailable',
     crm_api: crm.reachable ? 'reachable' : `unreachable (${crm.error || crm.status})`,
     models: describeChains(),
+    speech: speechStatus(),
     uptime_s: Math.round(process.uptime()),
   });
 });
@@ -83,6 +85,11 @@ async function start() {
   // second origin and the CRM token works unchanged.
   attachVoice(server);
 
+  // Speech models load lazily on the first voice turn (~10 s). Set
+  // SPEECH_WARMUP=true to pay that at boot instead — worth it in production,
+  // wasteful in development where most restarts never use voice.
+  if (process.env.SPEECH_WARMUP === 'true') warmSpeech(['ta', 'en']);
+
   const shutdown = (sig) => {
     logger.info(`${sig} — shutting down`);
     server.close(() => process.exit(0));