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

2026-08-28 02:16:03 +05:30
commit 105e58e02a
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+/* What does ONE supervisor request actually cost in input tokens? */
+import dotenv from 'dotenv';
+dotenv.config();
+import { supervisorPrompt } from '../src/orchestration/supervisor.js';
+import { delegationToolsFor, agentMenuFor, writeToolsFor } from '../src/agents/factory.js';
+import { artifactTools } from '../src/tools/artifacts/index.js';
+import { connectMongo } from '../src/data/mongo.js';
+import { toJsonSchema } from '@langchain/core/utils/json_schema';
+
+await connectMongo();
+
+const user = { id: '6a00cefe524bebd27037a968', name: 'Thulasiraman S', role: 'admin', permissions: [] };
+
+const system = supervisorPrompt({
+  user, agentMenu: agentMenuFor(user), now: new Date(),
+  channel: 'crm_chat', writeTools: writeToolsFor(user),
+});
+
+const tools = [...delegationToolsFor(user), ...artifactTools, ...writeToolsFor(user)];
+const apiTools = tools.map((t) => ({
+  name: t.name,
+  description: t.description,
+  input_schema: toJsonSchema(t.schema),
+}));
+
+// count_tokens needs credit, so estimate locally.
+// ~3.6 chars/token is a good approximation for English prose + JSON schemas.
+const CHARS_PER_TOKEN = 3.6;
+const est = (str) => Math.round(str.length / CHARS_PER_TOKEN);
+
+const toolsJson = JSON.stringify(apiTools);
+const perCall = est(system) + est(toolsJson) + 20;
+
+console.log(`system prompt : ${system.length.toLocaleString()} chars → ~${est(system).toLocaleString()} tokens`);
+console.log(`tool schemas  : ${toolsJson.length.toLocaleString()} chars → ~${est(toolsJson).toLocaleString()} tokens`);
+
+console.log(`tool count    : ${tools.length}`);
+console.log(`\nINPUT TOKENS PER SUPERVISOR CALL: ${perCall.toLocaleString()}`);
+
+// Opus 5: $5 / MTok input, $25 / MTok output
+const IN = 5 / 1e6;
+const OUT = 25 / 1e6;
+console.log(`\nOpus 5 input cost, one call: $${(perCall * IN).toFixed(4)}`);
+
+console.log('\n─ A ReAct loop re-sends the whole prompt every iteration ─');
+for (const iters of [3, 6, 10, 20]) {
+  // Input grows each iteration as tool calls + results accumulate; ~1.5k/iter is conservative.
+  let total = 0;
+  for (let i = 0; i < iters; i++) total += perCall + i * 1500;
+  console.log(`  ${String(iters).padStart(2)} iterations → ${total.toLocaleString().padStart(9)} input tokens = $${(total * IN).toFixed(3)}`);
+}
+
+console.log('\n─ Plus sub-agents: each runs its OWN loop with its own prompt+tools ─');
+console.log('  (measured separately below)');
+process.exit(0);