WeLe Agentic AI: LangGraph multi-agent CRM assistant with voice

2026-08-28 02:16:03 +05:30
commit 105e58e02a
69 changed files with 11501 additions and 0 deletions
@@ -0,0 +1,24 @@
+import { getModel } from '../src/orchestration/llm.js';
+import { tool } from '@langchain/core/tools';
+import { z } from 'zod';
+
+const ping = tool(async ({ n }) => `pong-${n * 2}`, {
+  name: 'double',
+  description: 'Doubles a number.',
+  schema: z.object({ n: z.number().describe('number to double') }),
+});
+
+for (const tier of ['agent', 'supervisor']) {
+  try {
+    const llm = getModel(tier, { maxTokens: 1024, effort: 'low' });
+    const r = await llm.invoke([{ role: 'user', content: 'Reply with exactly: OK' }]);
+    console.log(`[${tier}] text ->`, JSON.stringify(r.content).slice(0, 120));
+
+    const bound = getModel(tier, { maxTokens: 1024, effort: 'low' }).bindTools([ping]);
+    const t = await bound.invoke([{ role: 'user', content: 'Use the double tool on 21.' }]);
+    console.log(`[${tier}] toolCalls ->`, JSON.stringify(t.tool_calls));
+  } catch (e) {
+    console.error(`[${tier}] ERROR`, e.status || '', e.message?.slice(0, 300));
+  }
+}
+process.exit(0);