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hi
t
Thanks for reaching out, prathamesh. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
Hi — how can I help you today? If you’re reaching out about LiveKit, tell me briefly: • What you’re trying to do (e.g., join/create a room, stream, record, set up authentication), and • Any errors or unexpected behavior you’re seeing (include room ID, SDK/language, and timestamps if possible).
b
I am building voice based realtime ai interviwer using next js. I wants to use livekit with google live api for interviwer. I have setup for next js app already. How can I use livekit session with gemini live api. for backend I will be using node typescript. current folder structure is below
t
Thanks — I see you’re building a voice-based AI interviewer with Next.js (frontend) and Node + TypeScript backend and want to connect LiveKit rooms to Google’s Gemini Live API. I’ll outline a concise, practical integration plan tailored to your project structure and stack, then ask one quick clarifying question so I can give exact code snippets for your setup. What this will do • Frontend (Next.js): capture microphone, request a short-lived LiveKit token, and join a room. • Backend (Node/TS): mint LiveKit access tokens and run an agent/service that connects to the same LiveKit room and proxies audio to/from Gemini Live API so Gemini can act as the interviewer. High-level steps 1. Add packages • Backend: 
livekit-server-sdk
, 
@livekit/agents-plugin-google
(if using LiveKit Agents), and any Google Gemini SDK you’re using. • Frontend: 
livekit-client
and optionally 
@livekit/components-react
. 1. Environment variables (store in .env.local, not in repo) • LIVEKIT_API_KEY, LIVEKIT_API_SECRET, NEXT_PUBLIC_LIVEKIT_URL • GOOGLE_API_KEY (or other Google credentials required by Gemini) 1. Token endpoint (Next.js API route) • Create an API route (e.g., app/api/livekit-token/route.ts) that uses 
livekit-server-sdk
AccessToken to generate short-lived JWTs scoped to the room and permissions (publish audio, subscribe). 1. Frontend: join LiveKit room • Fetch token from 
/api/livekit-token?room=...&name=...
• Use 
livekit-client
to connect, publish local mic audio, and render incoming audio. • Place UI in app/interview/page.tsx (matches your project tree). 1. Agent/service that connects LiveKit ↔️ Gemini Two common approaches — tell me which you prefer and I’ll give exact code: A) Use LiveKit Agents (recommended if you want managed agent lifecycle and the 
@livekit/agents-plugin-google
integration). The agent connects to the LiveKit room, receives audio streams, uses the Gemini realtime model (audio modality) to generate interviewer audio, and publishes audio back into the room. B) Build a custom Node service that: • Joins the LiveKit room via 
livekit-server-sdk
or a headless 
livekit-client
instance, • Captures participant audio, streams it to Gemini Live API, receives Gemini audio responses, and publishes them as an audio track into the LiveKit room. 1. Security & best practices • Keep secrets server-side, use short TTLs for tokens, and validate user identity before minting tokens. Files to add/adjust in your tree (suggested) • app/api/livekit-token/route.ts — token generator • app/interview/page.tsx — frontend join UI • backend/agent.ts or backend/agent/index.ts — LiveKit Agent or service that interfaces with Gemini • lib/agent/ or backend/services/gemini.ts — helper code for Gemini calls Quick clarifying question Do you want me to: 1) give a ready-to-use example using LiveKit Agents with 
@livekit/agents-plugin-google
and Gemini realtime model (Agent approach), or 2) give a sample of a custom Node/TypeScript service that joins a LiveKit room and forwards audio to Gemini (Custom service approach)? Pick 1 or 2 and I’ll provide focused code and exact file placements matching your Next.js app-router structure.
b
1
t
Great — since you chose the LiveKit Agents approach, below is a focused, runnable integration plan with concrete code snippets you can drop into your Next.js + Node TypeScript project. I’ll match it to your folder layout and show: • required packages • env vars • token endpoint (Next.js App Router) • an Agent that uses 
@livekit/agents-plugin-google
to run Gemini realtime audio • frontend join logic to publish mic audio and play agent audio • where to place files If you want, I can also provide a Dockerfile or deployment notes after this. 1) Install packages • Backend/agent environment (where agent runs): ◦ @livekit/agents ◦ @livekit/agents-plugin-google ◦ livekit-server-sdk ◦ node-fetch (if needed) • Next.js frontend: ◦ livekit-client ◦ @livekit/components-react (optional) Example (run in repo root):
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pnpm add -w @livekit/agents @livekit/agents-plugin-google livekit-server-sdk livekit-client @livekit/components-react
2) Environment variables (.env.local / .env for local agent) Add these to 
.env.local
(client-safe URL must be prefixed NEXT_PUBLIC): • LIVEKIT_API_KEY= • LIVEKIT_API_SECRET= • NEXT_PUBLIC_LIVEKIT_URL=wss://your-livekit-host • GOOGLE_API_KEY= (or service account creds / endpoint values required for Gemini Live API) • AGENT_ROOM_NAME=interview-room Keep secrets server-side; do not expose API secret to browser. 3) Token endpoint (app/api/livekit-token/route.ts) Place in your Next.js app router under 
app/api/livekit-token/route.ts
. This mints short-lived tokens for clients.
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// app/api/livekit-token/route.ts
import { NextRequest, NextResponse } from 'next/server';
import { AccessToken, VideoGrant } from 'livekit-server-sdk';

export async function GET(req: NextRequest) {
  const url = new URL(req.url);
  const room = url.searchParams.get('room') || process.env.AGENT_ROOM_NAME || 'interview-room';
  const identity = url.searchParams.get('name') || 'participant-' + Math.floor(Math.random()*1000);

  const at = new AccessToken(process.env.LIVEKIT_API_KEY!, process.env.LIVEKIT_API_SECRET!, {
    identity,
    ttl: 600, // 10 minutes
  });

  const grant = new VideoGrant({
    room,
    roomJoin: true,
    canPublish: true,
    canSubscribe: true,
    // optional granular flags
    // canPublishData: true,
  });

  at.addGrant(grant);
  const token = at.toJwt();

  return NextResponse.json({ token, room, identity });
}
4) LiveKit Agent implementation (backend/agent/interviewerAgent.ts) Create a folder 
backend/agent/
(or 
lib/agent/
) and add the Agent that uses the Gemini realtime model via 
@livekit/agents-plugin-google
. The agent connects to LiveKit, joins the same 
AGENT_ROOM_NAME
, subscribes to audio, forwards audio to Gemini, and publishes Gemini audio back into the room. Note: adjust model/voice fields to match Gemini plugin API version you have.
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// backend/agent/interviewerAgent.ts
import { Agent } from '@livekit/agents';
import { RealtimeModel } from '@livekit/agents-plugin-google';
import { AgentContext, JobContext } from '@livekit/agents';
import { connect } from 'livekit-server-sdk';

// This class runs inside the LiveKit Agents runtime or as a process using @livekit/agents
export default class InterviewerAgent extends Agent {
  // called once when agent boots
  async setup(ctx: AgentContext): Promise<void> {
    console.log('InterviewerAgent setup');
  }

  // entrypoint for a job run — called when we want the agent to start
  async entrypoint(ctx: JobContext): Promise<void> {
    console.log('InterviewerAgent entrypoint starting');

    // Create a Gemini realtime model instance
    const model = new RealtimeModel({
      model: 'gemini-1.0-realtime',   // example model name — use the exact name from plugin docs
      voice: 'puck',                  // choose voice
      instructions: 'You are a helpful interviewer. Ask one question, wait for the candidate to respond, then follow up.',
      modalities: ['AUDIO'],
    });

    // Create a voice session bound to the current room
    // The exact API may depend on @livekit/agents-plugin-google version; this matches the common pattern
    const session = await ctx.voice.createSession({ model });

    // Start session event handling
    session.on('transcript', (t) => {
      console.log('transcript:', t);
    });

    session.on('state', (s) => {
      console.log('session state:', s);
    });

    // Start the session — this will cause Gemini to synthesize audio and publish to the LiveKit room
    await session.start();

    // Keep agent running while the job is active
    await ctx.waitForStop();
  }
}
5) Agent runner / process (backend/agent/run.ts) Create a small runner that registers this agent with the Agents runtime or runs it standalone per LiveKit Agents docs.
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// backend/agent/run.ts
import InterviewerAgent from './interviewerAgent';
import { runAgent } from '@livekit/agents';

async function main() {
  const agent = new InterviewerAgent();
  await runAgent(agent, {
    // options if required by runtime; check your Agents runtime config
  });
}

main().catch((err) => {
  console.error(err);
  process.exit(1);
});
How the agent connects to LiveKit: • If using the managed LiveKit Agents runtime, it will connect automatically when you 
runAgent
. • If running standalone, the Agents runtime will use env vars like LIVEKIT_URL, LIVEKIT_API_KEY, LIVEKIT_API_SECRET; ensure they are set. 6) Frontend: join room and publish mic (app/interview/page.tsx) A compact client component that requests a token and joins the room with microphone publishing. This uses 
livekit-client
. Place in 
app/interview/page.tsx
or a client component.
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'use client';
import React, { useEffect, useRef, useState } from 'react';
import { createLocalAudioTrack, Room, connect } from 'livekit-client';

export default function InterviewPage() {
  const [token, setToken] = useState<string | null>(null);
  const [roomName, setRoomName] = useState(process.env.NEXT_PUBLIC_AGENT_ROOM_NAME || 'interview-room');
  const roomRef = useRef<Room | null>(null);

  useEffect(() => {
    fetch(`/api/livekit-token?room=${roomName}&name=candidate`)
      .then((r) => r.json())
      .then((data) => setToken(data.token));
  }, [roomName]);

  useEffect(() => {
    if (!token) return;
    let mounted = true;

    (async () => {
      const url = process.env.NEXT_PUBLIC_LIVEKIT_URL!;
      const room = await connect(url, token, { autoSubscribe: true });
      roomRef.current = room;

      // publish local mic
      const audioTrack = await createLocalAudioTrack();
      await room.localParticipant.publishTrack(audioTrack);

      // play remote audio (agent) automatically via default audio element behavior
      room.on('trackSubscribed', (track, publication, participant) => {
        if (track.kind === 'audio') {
          const el = track.attach();
          el.play().catch(() => {});
        }
      });
    })();

    return () => {
      mounted = false;
      if (roomRef.current) roomRef.current.disconnect();
    };
  }, [token]);

  if (!token) return <div>Connecting...</div>;

  return (
    <div>
      <h1>AI Interview</h1>
      <p>Room: {roomName}</p>
      <button onClick={() => roomRef.current?.disconnect()}>Leave</button>
    </div>
  );
}
7) Audio routing and timing • The Agent session will handle capturing audio from participants in the LiveKit room and sending it to Gemini. Ensure the Agent subscribes to the candidate’s audio track. • Use session events to manage turn-taking: the agent should ask a question, wait for silence or endpoint detection, then send the captured audio to Gemini for transcription/response generation, and publish synthesized audio back. 8) Testing locally • Start Next.js dev server: pnpm dev • Start your agent process: node backend/agent/run.ts (or use ts-node) • Open the interview page, allow microphone access, and verify: ◦ Your mic audio is published ◦ Agent subscribes and you hear agent audio 9) Debugging hints • Inspect LiveKit room via LiveKit dashboard or logs to confirm both participant and agent are joined. • Log 
session
events inside agent (transcript, audio buffers, errors). • Confirm Gemini credentials and model names match plugin expectations. 10) Next steps I can provide • Full runnable example files with exact import/usage matching the current versions of @livekit/agents-plugin-google (I can adapt to your installed package versions). • Turn-taking logic and silence detection example for cleaner interview flow. • Transcription capture and storing transcripts in Prisma (I noticed you have Prisma in your repo). • Deployment steps (Docker/GCP/Heroku) and how to run the agent in production. Would you like the full runnable agent code adjusted to the exact versions in your project (tell me what's in package.json), or should I generate complete files I can paste into your repo now?
b
issues - Uncaught (in promise) TypeError: Cannot read properties of undefined (reading 'endsWith') not able to disconnect. can you give better ui for realtime page view I wants to show all participant, ongoing session chats and transcriptions
t
Thanks — I’ll help with both parts: debugging the TypeError + disconnect problem, then a concise improved realtime UI you can drop into your app showing participants, chat, and live transcriptions. Quick clarifying question before code: • Where does the TypeError appear (browser console stack trace)? Is it thrown in your frontend when calling 
connect()
, when attaching tracks, or when disconnecting? • Share the code you’re using to connect/disconnect (the client component), or confirm you’re using the snippet I provided earlier. If you can paste the connect/disconnect code I’ll pinpoint the exact fix. Below I’ll cover likely causes and give a robust client component that: • Fixes common causes of the 
endsWith
error • Ensures clean disconnect • Renders participants, chat, and live transcripts Likely causes of "Cannot read properties of undefined (reading 'endsWith')" • Passing an undefined URL to 
connect()
or other API that expects a string (some code calls 
url.endsWith(...)
internally). Ensure 
NEXT_PUBLIC_LIVEKIT_URL
and token are defined and strings before calling 
connect
. • Calling LiveKit client methods with undefined track/element values (e.g., passing undefined to 
attach()
). • React rendering code calling 
.endsWith()
on a possibly-undefined prop or state (search your code for 
.endsWith(
). Disconnect problems checklist • Call 
room.disconnect()
or 
room.localParticipant.unpublishTrack(track)
then 
room.disconnect()
. Use the same Room instance you stored. • Remove any event listeners and stop local tracks (call 
track.stop()
). • Await async disconnect logic where appropriate. • Guard disconnect so it only runs when 
room
is defined. Robust realtime client component • Replaces fragile operations with guards • Tracks Room in ref and disconnects cleanly • Shows list of participants, a simple chat bus, and live transcripts from participant metadata events Drop this into 
app/interview/page.tsx
(client component). It’s TypeScript / React and uses 
livekit-client
.
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'use client';
import React, { useEffect, useRef, useState } from 'react';
import {
  Room,
  connect,
  createLocalAudioTrack,
  RemoteTrack,
  Track,
  RemoteParticipant,
  LocalAudioTrack,
} from 'livekit-client';

type ChatMessage = { id: string; sender: string; text: string; ts: number };
type Transcript = { id: string; participant: string; text: string; ts: number };

export default function InterviewRealtime() {
  const [token, setToken] = useState<string | null>(null);
  const [roomName] = useState(process.env.NEXT_PUBLIC_AGENT_ROOM_NAME || 'interview-room');
  const [connecting, setConnecting] = useState(false);
  const roomRef = useRef<Room | null>(null);
  const localTrackRef = useRef<LocalAudioTrack | null>(null);

  const [participants, setParticipants] = useState<Record<string, { identity: string; connected: boolean }>>({});
  const [chat, setChat] = useState<ChatMessage[]>([]);
  const [transcripts, setTranscripts] = useState<Transcript[]>([]);

  // fetch token
  useEffect(() => {
    fetch(`/api/livekit-token?room=${roomName}&name=candidate`)
      .then((r) => r.json())
      .then((d) => {
        if (d?.token && typeof d.token === 'string') setToken(d.token);
      })
      .catch((e) => console.error('token fetch failed', e));
  }, [roomName]);

  // connect when token available
  useEffect(() => {
    if (!token) return;
    if (!process.env.NEXT_PUBLIC_LIVEKIT_URL || typeof process.env.NEXT_PUBLIC_LIVEKIT_URL !== 'string') {
      console.error('NEXT_PUBLIC_LIVEKIT_URL is not set');
      return;
    }

    let mounted = true;
    setConnecting(true);

    (async () => {
      try {
        const room = await connect(process.env.NEXT_PUBLIC_LIVEKIT_URL!, token, {
          autoSubscribe: true,
        });

        if (!mounted) {
          room.disconnect();
          return;
        }

        roomRef.current = room;

        // initial participant list
        const updateParticipants = () => {
          const map: Record<string, { identity: string; connected: boolean }> = {};
          room.participants.forEach((p) => {
            map[p.sid] = { identity: p.identity, connected: !p.isDisconnected };
          });
          // include local participant
          map[room.localParticipant.sid] = { identity: room.localParticipant.identity, connected: true };
          setParticipants(map);
        };
        updateParticipants();

        room.on('participantConnected', updateParticipants);
        room.on('participantDisconnected', updateParticipants);
        room.on('participantUpdated', updateParticipants);

        // subscribe to remote tracks and participant events
        room.on('trackSubscribed', (track: RemoteTrack, publication, participant: RemoteParticipant) => {
          if (track.kind === 'audio') {
            const el = track.attach();
            // guard attach return
            if (el && typeof (el.play) === 'function') {
              el.play().catch(() => {});
            }
          }
        });

        // handle data messages (chat or transcripts)
        room.on('dataReceived', (payload, participant) => {
          try {
            const s = new TextDecoder().decode(payload);
            const parsed = JSON.parse(s);
            if (parsed.type === 'chat') {
              setChat((c) => [{ id: String(Date.now()), sender: participant?.identity || 'agent', text: parsed.text, ts: Date.now() }, ...c]);
            } else if (parsed.type === 'transcript') {
              setTranscripts((t) => [{ id: String(Date.now()), participant: participant?.identity || 'agent', text: parsed.text, ts: Date.now() }, ...t]);
            }
          } catch (err) {
            console.warn('non-json data message', err);
          }
        });

        // publish local mic
        try {
          const audioTrack = await createLocalAudioTrack();
          localTrackRef.current = audioTrack;
          await room.localParticipant.publishTrack(audioTrack);
        } catch (err) {
          console.error('mic publish failed', err);
        }

        setConnecting(false);
      } catch (err) {
        console.error('connect failed', err);
        setConnecting(false);
      }
    })();

    return () => {
      mounted = false;
      // do not auto-disconnect here; leave explicit disconnect handler to user
    };
  }, [token]);

  // clean disconnect handler
  const handleDisconnect = async () => {
    const room = roomRef.current;
    if (!room) return;
    try {
      // stop local tracks
      room.localParticipant.tracks.forEach((pub) => {
        try {
          const t = pub.track as LocalAudioTrack | undefined;
          if (t && typeof (t.stop) === 'function') t.stop();
        } catch (e) {}
      });
      // unpublish local tracks
      await Promise.all(room.localParticipant.tracks.map((p) => p.unpublish()));
      // remove event listeners (best-effort)
      room.removeAllListeners();
      room.disconnect();
    } catch (err) {
      console.error('disconnect error', err);
    } finally {
      roomRef.current = null;
      localTrackRef.current = null;
      setParticipants({});
    }
  };

  // send chat or transcript as data message
  const sendDataMessage = (type: 'chat' | 'transcript', text: string) => {
    const room = roomRef.current;
    if (!room) return;
    const payload = JSON.stringify({ type, text });
    // reliable=true for chat, unreliable for transient transcription if desired
    room.localParticipant.publishData(Buffer.from(payload), /*kind=*/1);
    // mirror locally
    if (type === 'chat') {
      setChat((c) => [{ id: String(Date.now()), sender: room.localParticipant.identity, text, ts: Date.now() }, ...c]);
    } else {
      setTranscripts((t) => [{ id: String(Date.now()), participant: room.localParticipant.identity, text, ts: Date.now() }, ...t]);
    }
  };

  return (
    <div style={{ padding: 20 }}>
      <h2>Realtime Interview</h2>

      <div style={{ marginBottom: 12 }}>
        <strong>Room:</strong> {roomName} &nbsp;
        <button onClick={handleDisconnect} disabled={!roomRef.current}>
          Leave
        </button>
        {connecting && <span style={{ marginLeft: 8 }}>Connecting…</span>}
      </div>

      <div style={{ display: 'flex', gap: 20 }}>
        <div style={{ flex: 1, border: '1px solid #ddd', padding: 12 }}>
          <h3>Participants ({Object.keys(participants).length})</h3>
          <ul>
            {Object.entries(participants).map(([sid, p]) => (
              <li key={sid}>
                {p.identity} {p.connected ? '(online)' : '(offline)'}
              </li>
            ))}
          </ul>
        </div>

        <div style={{ flex: 2, border: '1px solid #ddd', padding: 12 }}>
          <h3>Chat</h3>
          <ChatBox onSend={(text) => sendDataMessage('chat', text)} messages={chat} />
        </div>

        <div style={{ flex: 3, border: '1px solid #ddd', padding: 12 }}>
          <h3>Live Transcripts</h3>
          <div style={{ maxHeight: 400, overflow: 'auto' }}>
            {transcripts.map((t) => (
              <div key={t.id} style={{ padding: 8, borderBottom: '1px solid #eee' }}>
                <small>{new Date(t.ts).toLocaleTimeString()}</small>
                <div><strong>{t.participant}</strong></div>
                <div>{t.text}</div>
              </div>
            ))}
          </div>
        </div>
      </div>
    </div>
  );
}

// Simple chat component (internal)
function ChatBox({ onSend, messages }: { onSend: (s: string) => void; messages: ChatMessage[] }) {
  const [input, setInput] = useState('');
  return (
    <div>
      <div style={{ maxHeight: 300, overflow: 'auto', marginBottom: 8 }}>
        {messages.map((m) => (
          <div key={m.id} style={{ padding: 6, borderBottom: '1px solid #f0f0f0' }}>
            <small>{new Date(m.ts).toLocaleTimeString()}</small>
            <div><strong>{m.sender}</strong> — {m.text}</div>
          </div>
        ))}
      </div>
      <div style={{ display: 'flex', gap: 8 }}>
        <input value={input} onChange={(e) => setInput(e.target.value)} style={{ flex: 1 }} />
        <button onClick={() => { if (input.trim()) { onSend(input.trim()); setInput(''); } }}>Send</button>
      </div>
    </div>
  );
}
Why this avoids your errors • Guards ensure 
NEXT_PUBLIC_LIVEKIT_URL
and token are strings before calling 
connect()
(avoids 
.endsWith
on undefined). • Attaches audio only if attach returns an element. • Keeps a single Room instance in a ref used for disconnect; 
room.disconnect()
is only called when valid. • Stops and unpublishes local tracks before disconnecting. If the error still occurs • Paste the stack trace and the exact line(s) in your client code where it happens. I’ll point to the exact fix. • If the stack traces shows 
endsWith
inside a third-party function, include that line; but most often it’s from calling 
connect(undefined, token)
or 
connect(url, undefined)
. Want a prettier UI? • I can convert the layout to use a component library (Tailwind + Headless UI or Chakra) and add participant avatars, mute/unmute controls, audio level meters, and exportable transcripts. Tell me which UI library (if any) you prefer. Would you like me to: • Inspect the exact stack trace and your connect/disconnect code now, or • Provide a Tailwind-styled version of the UI above with avatars and controls?
b
connect failed TypeError: Cannot read properties of undefined (reading 'forEach')
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// initial participant list
        const updateParticipants = () => {
          const map: Record<string, { identity: string; connected: boolean }> = {};
          room.participants.forEach((p) => {
            map[p.sid] = { identity: p.identity, connected: !p.isDisconnected };
          });
          // include local participant
          map[room.localParticipant.sid] = { identity: room.localParticipant.identity, connected: true };
          setParticipants(map);
        };
t
Thanks — the error means 
room.participants
is undefined when 
updateParticipants
runs. That can happen if 
room
isn't set yet or the LiveKit Room object shape differs. Below are a concise fix and a robust component that avoids the error, ensures clean disconnect, and shows participants, chat, and live transcripts. Why it failed • 
room
was likely null/undefined or 
room.participants
wasn't ready when 
updateParticipants
ran. Quick fix for your snippet • Guard 
room
and 
room.participants
before using 
forEach
and prefer iterating the Map safely:
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const updateParticipants = () => {
  if (!room || !room.participants) return;
  const map: Record<string, { identity: string; connected: boolean }> = {};
  // room.participants is a Map-like collection — use for..of for safety
  for (const p of room.participants.values()) {
    map[p.sid] = { identity: p.identity, connected: !p.isDisconnected };
  }
  if (room.localParticipant) {
    map[room.localParticipant.sid] = { identity: room.localParticipant.identity, connected: true };
  }
  setParticipants(map);
};
Robust, ready-to-drop client component • This component avoids the undefined errors, properly connects, handles track attachment, publishes/stops local audio, and cleanly disconnects. Drop into 
app/interview/page.tsx
(client component):
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'use client';
import React, { useEffect, useRef, useState } from 'react';
import { connect, createLocalAudioTrack, Room, RemoteParticipant, RemoteTrack, LocalAudioTrack } from 'livekit-client';

type ChatMessage = { id: string; sender: string; text: string; ts: number };
type Transcript = { id: string; participant: string; text: string; ts: number };

export default function InterviewRealtime() {
  const [token, setToken] = useState<string | null>(null);
  const roomRef = useRef<Room | null>(null);
  const localTrackRef = useRef<LocalAudioTrack | null>(null);
  const [connecting, setConnecting] = useState(false);

  const [participants, setParticipants] = useState<Record<string, { identity: string; connected: boolean }>>({});
  const [chat, setChat] = useState<ChatMessage[]>([]);
  const [transcripts, setTranscripts] = useState<Transcript[]>([]);

  const roomName = process.env.NEXT_PUBLIC_AGENT_ROOM_NAME || 'interview-room';
  const LIVEKIT_URL = process.env.NEXT_PUBLIC_LIVEKIT_URL || '';

  // fetch token
  useEffect(() => {
    fetch(`/api/livekit-token?room=${roomName}&name=candidate`)
      .then((r) => r.json())
      .then((d) => { if (d?.token && typeof d.token === 'string') setToken(d.token); })
      .catch((e) => console.error('token fetch failed', e));
  }, [roomName]);

  // connect when token available
  useEffect(() => {
    if (!token) return;
    if (!LIVEKIT_URL) { console.error('NEXT_PUBLIC_LIVEKIT_URL not set'); return; }

    let mounted = true;
    setConnecting(true);

    (async () => {
      try {
        const room = await connect(LIVEKIT_URL, token, { autoSubscribe: true });
        if (!mounted) { room.disconnect(); return; }
        roomRef.current = room;

        const updateParticipants = () => {
          const map: Record<string, { identity: string; connected: boolean }> = {};
          if (room && room.participants) {
            for (const p of room.participants.values()) {
              map[p.sid] = { identity: p.identity, connected: !p.isDisconnected };
            }
          }
          if (room && room.localParticipant) {
            map[room.localParticipant.sid] = { identity: room.localParticipant.identity, connected: true };
          }
          setParticipants(map);
        };

        updateParticipants();
        room.on('participantConnected', updateParticipants);
        room.on('participantDisconnected', updateParticipants);
        room.on('participantUpdated', updateParticipants);

        room.on('trackSubscribed', (track: RemoteTrack, _pub, participant: RemoteParticipant) => {
          if (track.kind === 'audio') {
            const el = track.attach();
            if (el && typeof (el.play) === 'function') el.play().catch(() => {});
          }
        });

        room.on('dataReceived', (payload, participant) => {
          try {
            const s = new TextDecoder().decode(payload);
            const parsed = JSON.parse(s);
            if (parsed.type === 'chat') {
              setChat((c) => [{ id: String(Date.now()), sender: participant?.identity || 'unknown', text: parsed.text, ts: Date.now() }, ...c]);
            } else if (parsed.type === 'transcript') {
              setTranscripts((t) => [{ id: String(Date.now()), participant: participant?.identity || 'agent', text: parsed.text, ts: Date.now() }, ...t]);
            }
          } catch {
            // non-json data messages ignored
          }
        });

        // publish mic
        try {
          const audioTrack = await createLocalAudioTrack();
          localTrackRef.current = audioTrack;
          await room.localParticipant.publishTrack(audioTrack);
        } catch (err) {
          console.error('publish mic failed', err);
        }

        setConnecting(false);
      } catch (err) {
        console.error('connect failed', err);
        setConnecting(false);
      }
    })();

    return () => { mounted = false; };
  }, [token, LIVEKIT_URL]);

  const handleDisconnect = async () => {
    const room = roomRef.current;
    if (!room) return;
    try {
      // stop and unpublish local tracks
      for (const pub of room.localParticipant.tracks) {
        try {
          const t = pub.track as LocalAudioTrack | undefined;
          if (t && typeof (t.stop) === 'function') t.stop();
        } catch {}
        try { await pub.unpublish(); } catch {}
      }
      room.removeAllListeners();
      room.disconnect();
    } catch (err) {
      console.error('disconnect error', err);
    } finally {
      roomRef.current = null;
      localTrackRef.current = null;
      setParticipants({});
    }
  };

  const sendDataMessage = (type: 'chat' | 'transcript', text: string) => {
    const room = roomRef.current;
    if (!room) return;
    const payload = JSON.stringify({ type, text });
    room.localParticipant.publishData(Buffer.from(payload), 1);
    if (type === 'chat') setChat((c) => [{ id: String(Date.now()), sender: room.localParticipant.identity, text, ts: Date.now() }, ...c]);
    else setTranscripts((t) => [{ id: String(Date.now()), participant: room.localParticipant.identity, text, ts: Date.now() }, ...t]);
  };

  return (
    <div style={{ padding: 20 }}>
      <h2>Realtime Interview</h2>
      <div style={{ marginBottom: 12 }}>
        <strong>Room:</strong> {roomName} &nbsp;
        <button onClick={handleDisconnect} disabled={!roomRef.current}>Leave</button>
        {connecting && <span style={{ marginLeft: 8 }}>Connecting…</span>}
      </div>

      <div style={{ display: 'flex', gap: 20 }}>
        <div style={{ flex: 1, border: '1px solid #ddd', padding: 12 }}>
          <h3>Participants ({Object.keys(participants).length})</h3>
          <ul>
            {Object.entries(participants).map(([sid, p]) => (
              <li key={sid}>{p.identity} {p.connected ? '(online)' : '(offline)'}</li>
            ))}
          </ul>
        </div>

        <div style={{ flex: 2, border: '1px solid #ddd', padding: 12 }}>
          <h3>Chat</h3>
          <ChatBox onSend={(text) => sendDataMessage('chat', text)} messages={chat} />
        </div>

        <div style={{ flex: 3, border: '1px solid #ddd', padding: 12 }}>
          <h3>Live Transcripts</h3>
          <div style={{ maxHeight: 400, overflow: 'auto' }}>
            {transcripts.map((t) => (
              <div key={t.id} style={{ padding: 8, borderBottom: '1px solid #eee' }}>
                <small>{new Date(t.ts).toLocaleTimeString()}</small>
                <div><strong>{t.participant}</strong></div>
                <div>{t.text}</div>
              </div>
            ))}
          </div>
        </div>
      </div>
    </div>
  );
}

function ChatBox({ onSend, messages }: { onSend: (s: string) => void; messages: ChatMessage[] }) {
  const [input, setInput] = useState('');
  return (
    <div>
      <div style={{ maxHeight: 300, overflow: 'auto', marginBottom: 8 }}>
        {messages.map((m) => (
          <div key={m.id} style={{ padding: 6, borderBottom: '1px solid #f0f0f0' }}>
            <small>{new Date(m.ts).toLocaleTimeString()}</small>
            <div><strong>{m.sender}</strong> — {m.text}</div>
          </div>
        ))}
      </div>
      <div style={{ display: 'flex', gap: 8 }}>
        <input value={input} onChange={(e) => setInput(e.target.value)} style={{ flex: 1 }} />
        <button onClick={() => { if (input.trim()) { onSend(input.trim()); setInput(''); } }}>Send</button>
      </div>
    </div>
  );
}
Next steps • Replace your current client with the component above to resolve the 
forEach
error and disconnect issues. • If you still see errors, paste the full browser console stack trace and confirm your livekit-client version so I can match exact runtime types and provide a version-specific fix. • If you want a styled UI (Tailwind/Chakra) or avatars/audio meters, tell me which UI library you prefer and I’ll produce a styled version.
b
all issues are fixed now. I am able to send messages, but where should I get the response back from agent ? also the res[opnse message is not rendering in ui
t
Great — glad the sends work. You should receive agent responses via LiveKit data messages (and/or by the agent publishing an audio track + sending transcript events). Here's how to capture and render those responses in your existing UI. Where agent responses come from • Data messages: the agent should call 
participant.publishData()
(or Agents runtime will publish data) with a JSON payload, e.g. 
{ type: 'chat', text: 'Hello', from: 'agent' }
. • Transcripts: the agent can publish 
{ type: 'transcript', text: '...', from: 'agent' }
. • Audio responses: the agent may publish an audio track — you already attach/ play remote audio on 
trackSubscribed
. What to listen for on the client • The 
room.on('dataReceived', (payload, participant) => {...})
handler receives data messages from any participant (including the agent). • The 
room.on('trackSubscribed', ...)
handler receives audio tracks. Make sure the agent is publishing data • Confirm the agent sends data messages with JSON payloads and a 
type
field (
chat
or 
transcript
). • Example agent-side call (Node/Agents): publish data bytes to the LiveKit room. If using Agents runtime, use the session API or room client to publish data messages. Client-side: decode and render agent messages • You already have a 
dataReceived
handler; ensure it: a. Decodes the payload (TextDecoder). b. Parses JSON safely. c. Uses 
participant.identity
or 
parsed.from
to label the message. d. Updates chat/transcript state and triggers a re-render. Copy this minimal patch into your existing 
room.on('dataReceived', ...)
handler to ensure agent messages render:
Copy code
room.on('dataReceived', (payload: ArrayBuffer | Uint8Array, participant) => {
  try {
    const bytes = payload instanceof Uint8Array ? payload : new Uint8Array(payload);
    const text = new TextDecoder().decode(bytes);
    const parsed = JSON.parse(text);

    // normalize sender identity
    const sender = participant?.identity || parsed.from || 'agent';

    if (parsed.type === 'chat' && parsed.text) {
      setChat((c) => [{ id: String(Date.now()), sender, text: parsed.text, ts: Date.now() }, ...c]);
    } else if (parsed.type === 'transcript' && parsed.text) {
      setTranscripts((t) => [{ id: String(Date.now()), participant: sender, text: parsed.text, ts: Date.now() }, ...t]);
    } else {
      console.warn('unknown data message', parsed);
    }
  } catch (err) {
    console.warn('failed to parse data message', err);
  }
});
Debug checklist if you still don’t see agent messages • Confirm agent actually calls publishData / sends messages into the same LiveKit room. • Verify the agent message payload is JSON and not binary protobuf or another format. • Log incoming raw payloads in the browser console before parsing to ensure data arrives. • Ensure the client is subscribed to data (data channels are enabled by default for participants who join the room). • Check participant.identity for the agent — use that to filter or label UI messages. Optional: mirror agent responses from audio -> transcript • If the agent publishes audio but not transcripts, you can run a short transcription step in the agent and publish 
{ type: 'transcript', text }
so clients can render text in the UI. If you want, I can: • Provide an example agent snippet that publishes chat and transcript messages into the room, or • Add client-side logging to show raw data messages so we can confirm format and fix parsing. Which would you prefer?
b
still it is not publiching and receiving messages. also why I am not getting any log in console for agent.ts file my current files
agent.tspage.tsx
t
Thanks — to debug why the agent isn’t publishing/receiving messages and why you see no logs from agent.ts, please share two things so I can pinpoint the problem: 1) Your agent code (agent.ts / interviewerAgent.ts) — paste the file contents. 2) How you start the agent (exact command or npm script) and the env vars you set when running it (show names and indicate whether values are present; do NOT paste secret values). Also tell me: • Are you running the agent locally or in LiveKit Agents runtime/cloud? • The version of 
@livekit/agents
and 
@livekit/agents-plugin-google
from your package.json. • Any agent-side errors in the process stdout/stderr (even if there are no logs from your file). If you prefer, paste the relevant package.json scripts and the console output you see when starting the agent. I’ll use that to tell you exactly what to change (likely fixes: ensure the agent is actually being instantiated/run, env vars LIVEKIT_URL/API_KEY/SECRET present, and attach console logs early in setup/entrypoint).
b
already shared both of code files above
t
Thanks — I see you said the files were shared earlier. To pinpoint why the agent isn’t publishing or logging, I need a couple quick confirmations about runtime and environment. Please answer these so I can give exact fixes: 1. How are you starting the agent? Paste the exact command or the npm script you run (e.g., 
node backend/agent/run.ts
, 
pnpm run start:agent
). 2. Where are you running the agent — locally on your machine, in a container, or in LiveKit Agents cloud? 3. Confirm these env var names are set in the process that runs the agent (just reply Y/N for each; do NOT paste secrets): ◦ LIVEKIT_URL ◦ LIVEKIT_API_KEY ◦ LIVEKIT_API_SECRET ◦ GOOGLE_API_KEY (or other Gemini creds you use) ◦ AGENT_ROOM_NAME (if used) 1. From package.json — what are the exact versions of: ◦ @livekit/agents ◦ @livekit/agents-plugin-google 1. Paste any console output you see when starting the agent (stdout/stderr). If there’s nothing, tell me whether the process exits immediately or stays running with no logs. If you prefer, I can give a short checklist of immediate fixes to try right now (add a console.log at top of agent file, ensure runAgent(...) is called, run with ts-node or compiled JS, export env vars inline). Tell me which you want.
b
1. pnpm run agent:dev 2. locally 3. yes foreveryone 4. 
"@livekit/agents": "^1.0.27", "@livekit/agents-plugin-google": "1.x",
5.
Copy code
pnpm run agent:dev

> smart_resume@0.1.0 agent:dev /Users/prathammungekar/Git Repo/smart_resume
> ts-node-dev --esm --respawn --transpile-only livekitagent/index.ts

[INFO] 22:36:22 ts-node-dev ver. 2.0.0 (using ts-node ver. 10.9.2, typescript ver. 5.9.3)
/opt/homebrew/Cellar/node/24.10.0/bin/node: bad option: --esm
t
Thanks — the startup error explains why the agent never logs or publishes: ts-node-dev is being passed an unsupported Node flag (
--esm
) for your Node version, so the process fails immediately. Below are exact, minimal fixes so the agent runs locally, logs appear, and it publishes data messages the client can receive. 1) Fix the dev script Replace the failing script that uses 
--esm
with one that works with ts-node-dev. In package.json, update your script (example): • Old (failing): "agent:dev": "ts-node-dev --esm --respawn --transpile-only livekitagent/index.ts" • New (works): "agent:dev": "ts-node-dev --respawn --transpile-only --loader ts-node/esm livekitagent/index.ts" If that still errors with your Node, use a plain ts-node-dev invocation: "agent:dev": "ts-node-dev --respawn --transpile-only livekitagent/index.ts" Or compile first and run Node: "agent:build": "tsc -p tsconfig.json", "agent:start": "node dist/livekitagent/index.js" Run: pnpm run agent:dev 2) Verify the agent process now starts • Add an unconditional console.log at top of your agent entry (index.ts) and in setup/entrypoint so you see startup logs immediately:
Copy code
console.log('agent starting, PID=', process.pid);
• Run the script, confirm you now see that log. If not, the script still isn’t executing the expected file. 3) Ensure env vars are present to let the agent connect Confirm the agent process environment includes these (reply Y/N earlier confirmed they are set): • LIVEKIT_URL • LIVEKIT_API_KEY • LIVEKIT_API_SECRET • GOOGLE_API_KEY (or Gemini creds) You can verify by adding:
Copy code
console.log('LIVEKIT_URL=', !!process.env.LIVEKIT_URL, 'API_KEY=', !!process.env.LIVEKIT_API_KEY);
4) Minimal agent publish example Once the agent runs, test publishing a data message from the agent to the room so the client receives it. Place this in your agent entrypoint after connecting/joining the room:
Copy code
// after joining room as `room` and having a participant or local client reference
const payload = JSON.stringify({ type: 'chat', text: 'hello from agent', from: 'agent' });
await room.localParticipant.publishData(Buffer.from(payload), 1); // reliable
console.log('agent published data message');
If using the LiveKit Agents runtime APIs (ctx.room or session), adapt to that API, e.g.:
Copy code
await ctx.room.localParticipant.publishData(Buffer.from(payload), 1);
5) Confirm client receives it • Keep your client running; ensure it has a 
room.on('dataReceived', ...)
handler that logs raw payloads before parsing. • Add a console log in that handler to see raw bytes and parsed string. 6) Common pitfalls • Agent and client must join the same room name and LiveKit cluster. • Ensure agent identity isn’t filtered on the client UI; check console logs for participant.identity. • If the agent uses the Agents runtime wrapper, confirm you’re running the runtime (runAgent or equivalent) and not just importing the class. 7) If you still see no logs after fixing the script • Paste the updated package.json scripts and the first 20 lines of your agent entry file (index.ts) and I’ll point out exactly what to change. • Or run: NODE_DEBUG=module pnpm run agent:dev and paste stdout. Would you like me to generate the exact package.json script and a minimal runnable agent index.ts you can paste into your repo now?
b
[ERROR] 224831 SyntaxError: The requested module '@livekit/agents' does not provide an export named 'Agent'
t
Good — the export error explains why the agent didn’t run. Summary and exact next steps to get your agent running, log output visible, and publish data messages the client can receive. 1) Use the correct imports Do NOT import 
Agent
directly. Use the voice namespace and define the agent with 
defineAgent
. Example (paste into livekitagent/index.ts):
Copy code
import { defineAgent, voice } from '@livekit/agents';
import * as google from '@livekit/agents-plugin-google';

export default defineAgent({
  entry: async (ctx) => {
    console.log('agent entry running, room=', ctx.room?.name);
    const { Agent } = voice;
    const agent = new Agent({
      instructions: 'You are an AI interviewer. Ask one question at a time.',
    });

    const model = new google.realtime.RealtimeModel({
      model: 'gemini-1.0-realtime', // pick the model name you have access to
      voice: 'puck',
      instructions: 'Act as the interviewer and wait for answer.',
      modalities: ['AUDIO'],
    });

    const session = new voice.AgentSession({ llm: model });

    // start session and publish an initial chat/data message for testing
    await session.start({ agent, room: ctx.room });

    // publish a test data message (so clients see something)
    const payload = JSON.stringify({ type: 'chat', text: 'Hello from agent', from: 'agent' });
    await ctx.room.localParticipant.publishData(Buffer.from(payload), 1);
    console.log('agent published initial data message');

    // keep running until stopped by runtime
    await ctx.waitForStop();
  },
});
2) Fix your dev start script (ts-node-dev issues) Update package.json scripts to avoid the unsupported 
--esm
flag. Use either of these: Option A (ts-node-dev): "agent:dev": "ts-node-dev --respawn --transpile-only livekitagent/index.ts" Option B (compile then run): "agent:build": "tsc -p tsconfig.json", "agent:start": "node dist/livekitagent/index.js" Run: pnpm run agent:dev 3) Add early console logs and ENV checks At the top of livekitagent/index.ts add:
Copy code
console.log('agent starting PID=', process.pid);
console.log('LIVEKIT_URL=', !!process.env.LIVEKIT_URL, 'API_KEY=', !!process.env.LIVEKIT_API_KEY);
This confirms the process starts and env vars are visible. 4) Confirm env vars in the process You said envs are set — verify they are available to the script you run. If you run via pnpm scripts, ensure you export them in that shell or use a .env loader for local dev. 5) Verify the client listens for dataReceived On client side, keep this handler and log raw payloads:
Copy code
room.on('dataReceived', (payload, participant) => {
  console.log('raw dataReceived from', participant?.identity, payload);
  try {
    const bytes = payload instanceof Uint8Array ? payload : new Uint8Array(payload);
    const text = new TextDecoder().decode(bytes);
    console.log('decoded data:', text);
  } catch (e) { console.warn('decode error', e); }
});
6) Test flow • Start agent: pnpm run agent:dev — you should see "agent starting..." logs and "agent published initial data message". • Open client and join the same room — client console should log the decoded data and you should see the message in UI. 7) If you still see nothing • Paste the updated agent startup stdout (first 30 lines). • Paste the exact client console log output for the 
dataReceived
handler. • Confirm the agent and client are using the same room name and same LIVEKIT cluster URL. If you want, I can produce a minimal runnable repo layout (index.ts + package.json scripts + small client snippet) matched to your versions so you can paste and run locally. Would you like that? Sources: Agents (Node.js) | livekit/livekit_composite | DeepWiki | Gemini Live API plugin | LiveKit docs | Voice AI quickstart | LiveKit docs
b
[ERROR] 225523 SyntaxError: The requested module '@livekit/agents' does not provide an export named 'runAgent'
Copy code
// backend/agent/run.ts
import InterviewerAgent from './agent.ts';
import { runAgent } from '@livekit/agents';

async function main() {
  const agent = new InterviewerAgent();
  await runAgent(agent, {
    // options if required by runtime; check your Agents runtime config
  });
}

main().catch((err) => {
  console.error(err);
  process.exit(1);
});
t
Thanks — the error means 
runAgent
isn't exported. Use the Agents SDK entry pattern: define your agent with 
defineAgent
and start the runtime with 
cli.runApp()
. Below is a minimal, runnable setup that fixes the import errors, shows startup logs, and publishes a test data message so your client can receive it. 1) Replace your run file with this (livekitagent/index.ts)
Copy code
import { defineAgent, cli, voice } from '@livekit/agents';
import * as google from '@livekit/agents-plugin-google';

// Agent definition exported as default
export default defineAgent({
  entry: async (ctx) => {
    console.log('agent entry running, room=', ctx.room?.name);

    const { Agent, AgentSession } = voice;
    const agent = new Agent({
      instructions: 'You are an AI interviewer. Ask one question at a time.',
    });

    const model = new google.realtime.RealtimeModel({
      model: 'gemini-1.0-realtime',
      voice: 'puck',
      instructions: 'Act as interviewer; ask one question and wait.',
      modalities: ['AUDIO'],
    });

    const session = new AgentSession({ llm: model });

    await session.start({ agent, room: ctx.room });
    console.log('session started');

    // publish a test data message so client sees it
    try {
      const payload = JSON.stringify({ type: 'chat', text: 'Hello from agent', from: 'agent' });
      await ctx.room.localParticipant.publishData(Buffer.from(payload), 1);
      console.log('agent published initial data message');
    } catch (err) {
      console.error('publishData failed', err);
    }

    // keep agent running while job is active
    await ctx.waitForStop();
    console.log('agent stopping');
  },
});

// start the agents runtime
cli.runApp();
2) package.json script Replace your agent dev script to avoid the broken 
--esm
flag. Example:
Copy code
"scripts": {
  "agent:dev": "ts-node-dev --respawn --transpile-only livekitagent/index.ts"
}
Run: pnpm run agent:dev 3) Add early env/log checks At top of index.ts (or before cli.runApp) add:
Copy code
console.log('agent starting PID=', process.pid);
console.log('LIVEKIT_URL=', !!process.env.LIVEKIT_URL, 'API_KEY=', !!process.env.LIVEKIT_API_KEY);
4) Verify client receives messages Keep this handler in your client and log raw payload before parsing:
Copy code
room.on('dataReceived', (payload, participant, topic) => {
  console.log('raw dataReceived from', participant?.identity, 'topic=', topic, payload);
  try {
    const bytes = payload instanceof Uint8Array ? payload : new Uint8Array(payload);
    const text = new TextDecoder().decode(bytes);
    console.log('decoded data:', text);
  } catch (e) { console.warn('decode error', e); }
});
5) Troubleshooting checklist if still not working • Ensure the agent process actually starts (you should see the "agent starting" and "agent entry running" logs). • Confirm LIVEKIT_URL, LIVEKIT_API_KEY, LIVEKIT_API_SECRET, and GOOGLE_API_KEY are present in the same shell where you run pnpm. • Confirm agent and client join the same room name and same LiveKit cluster URL. • If publish fails, check agent console for errors and paste those logs. If you’d like, I can: • Provide a tiny runnable repo layout (package.json + tsconfig + the index.ts above + a small client snippet) you can paste to validate locally, or • Inspect the agent stdout after you run pnpm run agent:dev (paste first 40 lines) and your client console logs for the 
dataReceived
handler. Which do you prefer?
b
still not getting anythigs as response also not getting anything in logs related to agent belo is my current files please check agent.ts index.ts anf page.tsx
agent.tsindex.tspage.tsx
t
Thanks — to diagnose why the agent produces no logs and no messages arrive, I need the exact contents of these three files you mentioned: 1. backend/agent/agent.ts (or agent.ts) 2. livekitagent/index.ts (your agent entry / run file) 3. app/interview/page.tsx (the client page component) Please paste each file in full (omit secrets). Also include: • The exact command you run to start the agent (pnpm run agent:dev) and the package.json script for that command. • The exact console output you see immediately after running the agent (first 40 lines). With those I’ll: • Verify imports and the defineAgent/cli.runApp pattern, • Confirm the agent actually joins the room and publishes data, • Patch any mismatched API calls and provide minimal runnable fixes you can paste back.
b
Copy code
// index.ts
import InterviewerAgent from './agent.ts';
import { cli } from '@livekit/agents';

async function main() {
  await cli.runApp(InterviewerAgent)
}

main();

// agent.ts
import { defineAgent, voice,cli } from '@livekit/agents';
import * as google from '@livekit/agents-plugin-google';

export default defineAgent({
  entry: async (ctx) => {
    console.log('agent entry running, room=', ctx.room?.name);
    const { Agent } = voice;
    const agent = new Agent({
      instructions: 'You are an AI interviewer. Ask one question at a time.',
    });

    const model = new google.beta.realtime.RealtimeModel({
      model: 'gemini-1.0-realtime', // pick the model name you have access to
      voice: 'puck',
      instructions: 'Act as the interviewer and wait for answer.',
      modalities: ['AUDIO'],
    });

    const session = new voice.AgentSession({ llm: model });

    // start session and publish an initial chat/data message for testing
    await session.start({ agent, room: ctx.room });

    // publish a test data message (so clients see something)
    const payload = JSON.stringify({ type: 'chat', text: 'Hello from agent', from: 'agent' });
    await ctx.room.localParticipant.publishData(Buffer.from(payload), 1);
    console.log('agent published initial data message');

    // keep running until stopped by runtime
    await ctx.waitForStop();
  },
});

'use client';
import 'dotenv/config';
import React, { useEffect, useRef, useState } from 'react';
import {
  Room,
  connect,
  createLocalAudioTrack,
  RemoteTrack,
  Track,
  RemoteParticipant,
  LocalAudioTrack,
  DataPacket_Kind,
} from 'livekit-client';

type ChatMessage = { id: string; sender: string; text: string; ts: number };
type Transcript = { id: string; participant: string; text: string; ts: number };

export default function InterviewRealtime() {
  const [token, setToken] = useState<string | null>(null);
  const [roomName] = useState(process.env.NEXT_PUBLIC_AGENT_ROOM_NAME || 'interview-room');
  const [connecting, setConnecting] = useState(false);
  const roomRef = useRef<Room | null>(null);
  const localTrackRef = useRef<LocalAudioTrack | null>(null);

  const [participants, setParticipants] = useState<Record<string, { identity: string; connected: boolean }>>({});
  const [chat, setChat] = useState<ChatMessage[]>([]);
  const [transcripts, setTranscripts] = useState<Transcript[]>([]);

  // fetch token
  useEffect(() => {
    fetch(`/api/token?room=${roomName}&name=candidate`)
      .then((r) => r.json())
      .then((d) => {
        if (d?.token && typeof d.token === 'string') setToken(d.token);
      })
      .catch((e) => console.error('token fetch failed', e));
  }, [roomName]);

  // connect when token available
  useEffect(() => {
    if (!token) return;
    // console.log("🚀 ~ useEffect ~ process.env.LIVEKIT_URL:", process.env.NEXT_PUBLIC_LIVEKIT_URL)
    // if (!process.env.LIVEKIT_URL || typeof process.env.LIVEKIT_URL !== 'string') {
    //   console.error('NEXT_PUBLIC_LIVEKIT_URL is not set');
    //   return;
    // }

    let mounted = true;
    setConnecting(true);

    (async () => {
      try {

        const room = new Room();
        roomRef.current = room;

        // connect is instance method
        await room.connect("<wss://vertex-ai-1879pkoh.livekit.cloud>", token);

        if (!mounted) {
          room.disconnect();
          return;
        }

        roomRef.current = room;

        // initial participant list
        const updateParticipants = () => {
            if (!room || !room.participants) return;
            const map: Record<string, { identity: string; connected: boolean }> = {};
            // room.participants is a Map-like collection — use for..of for safety
            for (const p of room.participants.values()) {
              map[p.sid] = { identity: p.identity, connected: !p.isDisconnected };
            }
            if (room.localParticipant) {
              map[room.localParticipant.sid] = { identity: room.localParticipant.identity, connected: true };
            }
            setParticipants(map);
          };
        updateParticipants();

        room.on('participantConnected', updateParticipants);
        room.on('participantDisconnected', updateParticipants);
        room.on('participantUpdated', updateParticipants);

        // subscribe to remote tracks and participant events
        room.on('trackSubscribed', (track: RemoteTrack, publication, participant: RemoteParticipant) => {
          console.log("🚀 ~ InterviewRealtime ~ track:", track)
          if (track.kind === 'audio') {
            const el = track.attach();
            // guard attach return
            if (el && typeof (el.play) === 'function') {
              el.play().catch(() => {});
            }
          }
        });

        
        room.on('dataReceived', (payload: ArrayBuffer | Uint8Array, participant) => {
            try {
            const bytes = payload instanceof Uint8Array ? payload : new Uint8Array(payload);
            const text = new TextDecoder().decode(bytes);
            const parsed = JSON.parse(text);
        
            // normalize sender identity
            const sender = participant?.identity || parsed.from || 'agent';
        
            if (parsed.type === 'chat' && parsed.text) {
                setChat((c) => [{ id: String(Date.now()), sender, text: parsed.text, ts: Date.now() }, ...c]);
            } else if (parsed.type === 'transcript' && parsed.text) {
                setTranscripts((t) => [{ id: String(Date.now()), participant: sender, text: parsed.text, ts: Date.now() }, ...t]);
            } else {
                console.warn('unknown data message', parsed);
            }
            } catch (err) {
            console.warn('failed to parse data message', err);
            }
        });

        // publish local mic
        try {
          const audioTrack = await createLocalAudioTrack();
          localTrackRef.current = audioTrack;
          await room.localParticipant.publishTrack(audioTrack);
        } catch (err) {
          console.error('mic publish failed', err);
        }

        setConnecting(false);
      } catch (err) {
        console.error('connect failed', err);
        setConnecting(false);
      }
    })();

    return () => {
      mounted = false;
      // do not auto-disconnect here; leave explicit disconnect handler to user
    };
  }, [token]);

  // clean disconnect handler
  const handleDisconnect = async () => {
    const room = roomRef.current;
    if (!room) return;
    try {
      // stop local tracks
      room.localParticipant.tracks.forEach((pub) => {
        try {
          const t = pub.track as LocalAudioTrack | undefined;
          if (t && typeof (t.stop) === 'function') t.stop();
        } catch (e) {}
      });
      // unpublish local tracks
      await Promise.all(room.localParticipant.tracks.map((p) => p.unpublish()));
      // remove event listeners (best-effort)
      room.removeAllListeners();
      room.disconnect();
    } catch (err) {
      console.error('disconnect error', err);
    } finally {
      roomRef.current = null;
      localTrackRef.current = null;
      setParticipants({});
    }
  };

  // send chat or transcript as data message
  const sendDataMessage = (type: 'chat' | 'transcript', text: string) => {
    const room = roomRef.current;
    if (!room) return;
    const payload = JSON.stringify({ type, text });
    console.log("🚀 ~ sendDataMessage ~ payload:", payload)
    // reliable=true for chat, unreliable for transient transcription if desired
    room.localParticipant.publishData(Buffer.from(payload), { reliable: true, kind: DataPacket_Kind.RELIABLE });
    // mirror locally
    if (type === 'chat') {
      setChat((c) => [{ id: String(Date.now()), sender: room.localParticipant.identity, text, ts: Date.now() }, ...c]);
    } else {
      setTranscripts((t) => [{ id: String(Date.now()), participant: room.localParticipant.identity, text, ts: Date.now() }, ...t]);
    }
  };

  return (
    <div style={{ padding: 20 }}>
      <h2>Realtime Interview</h2>

      <div style={{ marginBottom: 12 }}>
        <strong>Room:</strong> {roomName} &nbsp;
        <button onClick={handleDisconnect} disabled={!roomRef.current}>
          Leave
        </button>
        {connecting && <span style={{ marginLeft: 8 }}>Connecting…</span>}
      </div>

      <div style={{ display: 'flex', gap: 20 }}>
        <div style={{ flex: 1, border: '1px solid #ddd', padding: 12 }}>
          <h3>Participants ({Object.keys(participants).length})</h3>
          <ul>
            {Object.entries(participants).map(([sid, p]) => (
              <li key={sid}>
                {p.identity} {p.connected ? '(online)' : '(offline)'}
              </li>
            ))}
          </ul>
        </div>

        <div style={{ flex: 2, border: '1px solid #ddd', padding: 12 }}>
          <h3>Chat</h3>
          <ChatBox onSend={(text) => sendDataMessage('chat', text)} messages={chat} />
        </div>

        <div style={{ flex: 3, border: '1px solid #ddd', padding: 12 }}>
          <h3>Live Transcripts</h3>
          <div style={{ maxHeight: 400, overflow: 'auto' }}>
            {transcripts.map((t) => (
              <div key={t.id} style={{ padding: 8, borderBottom: '1px solid #eee' }}>
                <small>{new Date(t.ts).toLocaleTimeString()}</small>
                <div><strong>{t.participant}</strong></div>
                <div>{t.text}</div>
              </div>
            ))}
          </div>
        </div>
      </div>
    </div>
  );
}

// Simple chat component (internal)
function ChatBox({ onSend, messages }: { onSend: (s: string) => void; messages: ChatMessage[] }) {
  const [input, setInput] = useState('');
  return (
    <div>
      <div style={{ maxHeight: 300, overflow: 'auto', marginBottom: 8 }}>
        {messages.map((m) => (
          <div key={m.id} style={{ padding: 6, borderBottom: '1px solid #f0f0f0' }}>
            <small>{new Date(m.ts).toLocaleTimeString()}</small>
            <div><strong>{m.sender}</strong> — {m.text}</div>
          </div>
        ))}
      </div>
      <div style={{ display: 'flex', gap: 8 }}>
        <input value={input} onChange={(e) => setInput(e.target.value)} style={{ flex: 1 }} />
        <button onClick={() => { if (input.trim()) { onSend(input.trim()); setInput(''); } }}>Send</button>
      </div>
    </div>
  );
}
t
Thanks — I reviewed your files. Two issues prevent the agent from starting and messages from flowing: incorrect usage of 
cli.runApp
in index.ts, and mixing ESM/commonjs styles with imports/exports and plugin namespace usage. I’ll give you corrected files you can drop in, plus exact run instructions and quick checks to confirm messages appear. Replace your agent files with the following. 1) livekitagent/index.ts (single entry file — runs the agent runtime)
Copy code
import 'dotenv/config';
import agentDef from './agent';
import { cli } from '@livekit/agents';

console.log('agent runner starting, PID=', process.pid);
console.log('LIVEKIT_URL=', !!process.env.LIVEKIT_URL, 'API_KEY=', !!process.env.LIVEKIT_API_KEY);

cli.runApp(agentDef).catch((err) => {
  console.error('cli.runApp error', err);
  process.exit(1);
});
2) livekitagent/agent.ts (agent definition)
Copy code
import { defineAgent, voice } from '@livekit/agents';
import * as google from '@livekit/agents-plugin-google';

export default defineAgent({
  entry: async (ctx) => {
    console.log('agent entry running, room=', ctx.room?.name);

    const { Agent, AgentSession } = voice;
    const agent = new Agent({
      instructions: 'You are an AI interviewer. Ask one question at a time.',
    });

    const model = new google.realtime.RealtimeModel({
      model: 'gemini-1.0-realtime',
      voice: 'puck',
      instructions: 'Act as interviewer; ask one question and wait.',
      modalities: ['AUDIO'],
    });

    const session = new AgentSession({ llm: model });

    await session.start({ agent, room: ctx.room });
    console.log('session started');

    // publish a test data message so clients can receive something
    try {
      const payload = JSON.stringify({ type: 'chat', text: 'Hello from agent', from: 'agent' });
      await ctx.room.localParticipant.publishData(Buffer.from(payload), 1);
      console.log('agent published initial data message');
    } catch (err) {
      console.error('publishData failed', err);
    }

    await ctx.waitForStop();
    console.log('agent entry stopping');
  },
});
3) Client: keep your page.tsx but make two small fixes • Use the same room name and LiveKit URL that the agent uses. • Log raw dataReceived payloads to ensure messages arrive. In your page.tsx ensure these lines exist inside the connect effect (you already have similar code — add the log):
Copy code
room.on('dataReceived', (payload, participant, topic) => {
  console.log('raw dataReceived from', participant?.identity, 'topic=', topic, payload);
  try {
    const bytes = payload instanceof Uint8Array ? payload : new Uint8Array(payload);
    const text = new TextDecoder().decode(bytes);
    console.log('decoded data:', text);
    // existing parsing/updating UI...
  } catch (e) {
    console.warn('decode error', e);
  }
});
Run instructions 1. Ensure env vars are available in the shell you run in: • LIVEKIT_URL, LIVEKIT_API_KEY, LIVEKIT_API_SECRET, GOOGLE_API_KEY (or GOOGLE_APPLICATION_CREDENTIALS) and AGENT_ROOM_NAME if used. 1. package.json script Update your package.json:
Copy code
"scripts": {
  "agent:dev": "ts-node-dev --respawn --transpile-only livekitagent/index.ts"
}
Run: pnpm run agent:dev What you should see • On start: "agent runner starting..." and env checks. • When a job/room triggers agent entry: "agent entry running, room=..." • After session started: "session started" and "agent published initial data message" • On the browser console: "raw dataReceived..." and "decoded data: ..." with the JSON you published. If you still see nothing • Paste the exact stdout from pnpm run agent:dev (first 40 lines). • Paste browser console logs for the dataReceived handler. • Confirm the agent and client are joining the exact same room name and same LIVEKIT_URL value. I can also produce a minimal runnable repo with these files and a tiny client to validate locally. Would you like that?
b
Copy code
➜  smart_resume git:(main) ✗ pnpm run agent:dev

> smart_resume@0.1.0 agent:dev /Users/prathammungekar/Git Repo/smart_resume
> ts-node-dev --respawn --transpile-only livekitagent/index.ts

[INFO] 23:14:48 ts-node-dev ver. 2.0.0 (using ts-node ver. 10.9.2, typescript ver. 5.9.3)
agent runner starting, PID= 85515
LIVEKIT_URL= true API_KEY= true
Usage: agents [options] [command]

LiveKit Agents CLI

Options:
  -V, --version             output the version number
  --log-level <level>       Set the logging level (choices: "trace", "debug", "info", "warn", "error", "fatal", default: "info", env: LOG_LEVEL)
  --url <string>            LiveKit server or Cloud project websocket URL (env: LIVEKIT_URL)
  --api-key <string>        LiveKit server or Cloud project's API key (env: LIVEKIT_API_KEY)
  --api-secret <string>     LiveKit server or Cloud project's API secret (env: LIVEKIT_API_SECRET)
  -h, --help                display help for command

Commands:
  start                     Start the worker in production mode
  dev [options]             Start the worker in development mode
  connect [options]         Connect to a specific room
  download-files [options]  Download plugin dependency files
nothing response on frontend
t
Thanks — the CLI output is good news: the agent runner started but printed the Agents CLI help because you invoked the CLI without the required subcommand. That’s why the agent never entered dev mode and no entry logs or published messages appeared. What to do now — exact steps 1) Start the agent in dev mode (works with your current setup) Run: pnpm run agent:dev But change the script in package.json from: "agent:dev": "ts-node-dev --respawn --transpile-only livekitagent/index.ts" to: "agent:dev": "ts-node-dev --respawn --transpile-only livekitagent/index.ts dev" Explanation: the LiveKit Agents CLI expects a subcommand (
dev
, 
start
, or 
connect
). Passing 
dev
causes the CLI to start the worker and invoke your agent 
entry
. 2) Quick verification logs Keep your livekitagent/index.ts as:
Copy code
import 'dotenv/config';
import agentDef from './agent';
import { cli } from '@livekit/agents';

console.log('agent runner starting PID=', process.pid);
console.log('LIVEKIT_URL=', !!process.env.LIVEKIT_URL, 'API_KEY=', !!process.env.LIVEKIT_API_KEY);

cli.runApp(agentDef).catch((err) => {
  console.error('cli.runApp error', err);
  process.exit(1);
});
And in livekitagent/agent.ts ensure you log in 
entry
(you already do): • "agent entry running..." • "session started" • "agent published initial data message" 3) Start and watch output Run the updated script: pnpm run agent:dev You should now see: • agent runner starting... • Agents CLI starting in dev mode • agent entry running, room=... (when a connect/job triggers) • session started • agent published initial data message 4) If you still see only the CLI help text • Run the script manually to confirm subcommand behavior: node_modules/.bin/ts-node-dev --respawn --transpile-only livekitagent/index.ts dev • Or run the CLI directly: npx @livekit/agents dev --url="$LIVEKIT_URL" --api-key="$LIVEKIT_API_KEY" --api-secret="$LIVEKIT_API_SECRET" 5) Ensure a job triggers the agent entry Note: defineAgent entry runs when the agent runtime receives a job (e.g., when an agent is scheduled or when you use the CLI 
connect
command). To trigger manually for testing, run: npx @livekit/agents connect --url="$LIVEKIT_URL" --api-key="$LIVEKIT_API_KEY" --api-secret="$LIVEKIT_API_SECRET" --room="$AGENT_ROOM_NAME" This connects a test worker and should invoke your agent 
entry
for that room — you’ll see "agent entry running..." and the publish log. 6) Confirm client side receives data • Keep browser open and watch console for the 
dataReceived
logs added earlier. • Make sure the client and agent use the same room name and LIVEKIT URL. If you want, I can: • Provide the exact package.json change and the two command examples to paste, or • Give a one-file test you can run that directly calls 
cli.runApp
in dev mode with the 
dev
arg so you don’t need extra CLI commands. Which would you prefer?
b
Copy code
// index.ts
import 'dotenv/config';
import InterviewerAgent from './agent.ts';
import { cli } from '@livekit/agents';


console.log('agent runner starting, PID=', process.pid);
console.log('LIVEKIT_URL=', !!process.env.LIVEKIT_URL, 'API_KEY=', !!process.env.LIVEKIT_API_KEY);

cli.runApp(InterviewerAgent).catch((err) => {
  console.error('cli.runApp error', err);
  process.exit(1);
});
Copy code
➜  smart_resume git:(main) ✗ pnpm run agent:dev

> smart_resume@0.1.0 agent:dev /Users/prathammungekar/Git Repo/smart_resume
> ts-node-dev --respawn --transpile-only livekitagent/index.ts dev

[INFO] 23:20:34 ts-node-dev ver. 2.0.0 (using ts-node ver. 10.9.2, typescript ver. 5.9.3)
agent runner starting, PID= 89277
LIVEKIT_URL= true API_KEY= true
TypeError: Cannot read properties of undefined (reading 'catch')
    at file:///Users/prathammungekar/Git%20Repo/smart_resume/livekitagent/index.ts:7:29
    at ModuleJobSync.runSync (node:internal/modules/esm/module_job:514:37)
    at ModuleLoader.importSyncForRequire (node:internal/modules/esm/loader:449:47)
    at loadESMFromCJS (node:internal/modules/cjs/loader:1577:24)
    at Module.<anonymous> (node:internal/modules/cjs/loader:1742:5)
    at Module._compile (/Users/prathammungekar/Git Repo/smart_resume/node_modules/.pnpm/source-map-support@0.5.21/node_modules/source-map-support/source-map-support.js:568:25)
    at Module.m._compile (/private/var/folders/y_/b1g_lt71179771sn4hf7qhm40000gn/T/ts-node-dev-hook-3949859738936786.js:69:33)
    at node:internal/modules/cjs/loader:1893:10
    at require.extensions..jsx.require.extensions..js (/private/var/folders/y_/b1g_lt71179771sn4hf7qhm40000gn/T/ts-node-dev-hook-3949859738936786.js:114:20)
    at require.extensions.<computed> (/private/var/folders/y_/b1g_lt71179771sn4hf7qhm40000gn/T/ts-node-dev-hook-3949859738936786.js:71:20)
(node:89277) [MODULE_TYPELESS_PACKAGE_JSON] Warning: Module type of file:///Users/prathammungekar/Git%20Repo/smart_resume/livekitagent/agent.ts is not specified and it doesn't parse as CommonJS.
Reparsing as ES module because module syntax was detected. This incurs a performance overhead.
To eliminate this warning, add "type": "module" to /Users/prathammungekar/Git Repo/smart_resume/package.json.
(Use `node --trace-warnings ...` to show where the warning was created)
[ERROR] 23:20:34 TypeError: Cannot read properties of undefined (reading 'catch')
t
You're almost there — the TypeError happens because 
cli.runApp(...)
can return undefined when invoked this way, so chaining 
.catch
fails. Also your TS/ESM execution adds complexity. Do this exact, minimal set of changes to run the agent reliably and see logs + published messages. 1) Update index.ts — remove 
.catch
and handle errors synchronously:
Copy code
import 'dotenv/config';
import agentDef from './agent';
import { cli } from '@livekit/agents';

console.log('agent runner starting, PID=', process.pid);
console.log('LIVEKIT_URL=', !!process.env.LIVEKIT_URL, 'API_KEY=', !!process.env.LIVEKIT_API_KEY);

// runApp may not return a Promise in this environment, so handle errors with try/catch
try {
  const res = cli.runApp(agentDef);
  // if it returns a Promise, attach handler
  if (res && typeof (res as any).catch === 'function') {
    (res as Promise<any>).catch((err) => {
      console.error('cli.runApp rejected', err);
      process.exit(1);
    });
  }
} catch (err) {
  console.error('cli.runApp threw', err);
  process.exit(1);
}
2) Start the CLI in dev mode (your script must pass the 
dev
subcommand) • package.json script: "agent:dev": "ts-node-dev --respawn --transpile-only livekitagent/index.ts dev" • Run: pnpm run agent:dev 3) Ensure Node module type is consistent • Add "type": "module" to package.json (you saw the warning). This avoids mixed-module parsing issues. 4) Trigger the agent entry for testing • The agent entry runs when the CLI receives a job. For manual testing run: npx @livekit/agents connect --url="$LIVEKIT_URL" --api-key="$LIVEKIT_API_KEY" --api-secret="$LIVEKIT_API_SECRET" --room="$AGENT_ROOM_NAME" • Alternatively open your client and join the same room — then run the 
connect
command to simulate the job. 5) Confirm logs and published data • Expected logs on agent start: ◦ "agent runner starting..." ◦ When a job triggers: "agent entry running, room=..." ◦ "session started" ◦ "agent published initial data message" • In browser console confirm 
dataReceived
logs (raw and decoded payload). 6) If still no logs or publish: • Paste the full stdout after running pnpm run agent:dev (first 80 lines). • Paste the exact command you ran for 
npx @livekit/agents connect...
if you ran it. • Confirm env vars are present to that shell (LIVEKIT_URL, LIVEKIT_API_KEY, LIVEKIT_API_SECRET, AGENT_ROOM_NAME). If you want, I can produce a one-file test runner (index.ts) you can paste that both starts the CLI in dev mode and programmatically issues a connect so the agent entry triggers immediately — would you like that?
b
[ERROR] 232931 Error: Must use import to load ES Module: /Users/prathammungekar/Git Repo/smart_resume/livekitagent/index.ts
t
The error means Node is trying to require an ES module file. You have mixed ESM and CommonJS execution. Quick path to a reliable local dev run — pick one of the two options below and follow the exact steps. Option A — Use ESM (recommended) 1) package.json • Add "type": "module". 2) tsconfig.json (ensure these) • "module": "esnext" • "moduleResolution": "node" • "target": "es2022" (or higher) • "esModuleInterop": true (optional) 3) Use an ESM-aware runner. Update package.json script: • "agent:dev": "NODE_OPTIONS='--enable-source-maps' ts-node-dev --respawn --loader ts-node/esm livekitagent/index.ts dev" (If your shell ignores NODE_OPTIONS in package.json, run exported env then pnpm run agent:dev.) 4) Keep imports as ESM (your current files are ESM). Start: • pnpm run agent:dev Option B — Use CommonJS (simpler if you don’t need full ESM) 1) Change your agent files to compile to JS and run Node CJS: • package.json scripts: ◦ "agent:build": "tsc -p tsconfig.agent.json" ◦ "agent:start": "node dist/livekitagent/index.js dev" 2) tsconfig.agent.json • "module": "CommonJS" • "outDir": "dist" 3) Build and run: • pnpm run agent:build • pnpm run agent:start Immediate fixes you can try now (minimal, safe) • Add "type": "module" to package.json and run with your current ts-node-dev command but include the 
dev
arg: pnpm run agent:dev (script: ts-node-dev --respawn --transpile-only livekitagent/index.ts dev) • If you still see "Must use import to load ES Module", run the script directly with an ESM-capable runner: node --loader ts-node/esm livekitagent/index.ts dev or npx tsx livekitagent/index.ts dev Extra checks to confirm working • Ensure your index.ts does not use require() anywhere. • Add early logs at top of livekitagent/index.ts: console.log('agent runner starting PID=', process.pid); • Run the CLI in dev mode (subcommand required): pass 
dev
as shown — this starts the worker and triggers defineAgent entry when a job/room connects. • Manually trigger a job for quick test: npx @livekit/agents connect --url="$LIVEKIT_URL" --api-key="$LIVEKIT_API_KEY" --api-secret="$LIVEKIT_API_SECRET" --room="$AGENT_ROOM_NAME" If you want, I can: • Provide the exact package.json and tsconfig snippets to paste into your repo for Option A or B, or • Generate a one-file test runner that uses 
cli.runApp
then programmatically issues a 
connect
so the agent entry triggers immediately. Which would you like — the ESM package.json + tsconfig snippets, or a compiled CommonJS build script?
b
Error: Must use import to load ES Module: /Users/prathammungekar/Git Repo/smart_resume/livekitagent/index.ts // index.ts import 'dotenv/config'; import InterviewerAgent from './agent.ts'; import { cli } from '@livekit/agents'; console.log('agent runner starting, PID=', process.pid); console.log('LIVEKIT_URL=', !!process.env.LIVEKIT_URL, 'API_KEY=', !!process.env.LIVEKIT_API_KEY); // runApp may not return a Promise in this environment, so handle errors with try/catch try { const res = cli.runApp(InterviewerAgent); // if it returns a Promise, attach handler if (res && typeof (res as any).catch === 'function') { (res as Promise<any>).catch((err) => { console.error('cli.runApp rejected', err); process.exit(1); }); } } catch (err) { console.error('cli.runApp threw', err); process.exit(1); } { "name": "smart_resume", "version": "0.1.0", "private": true, "type": "module", "scripts": { "dev": "next dev", "build": "prisma generate && next build", "start": "next start", "lint": "eslint", "postinstall": "prisma generate", "agent:dev": "ts-node-dev --respawn --transpile-only livekitagent/index.ts dev" }, "dependencies": { "@ai-sdk/google": "^2.0.29", "@livekit/agents": "^1.0.27", "@livekit/agents-plugin-google": "1.x", "@livekit/components-react": "^2.9.17", "@openai/agents": "^0.3.0", "@prisma/client": "^6.19.0", "@qdrant/js-client-rest": "^1.15.1", "@supabase/ssr": "^0.7.0", "@supabase/supabase-js": "^2.81.1", "@upstash/redis": "^1.35.6", "ai": "^5.0.89", "date-fns": "^4.1.0", "dotenv": "^17.2.3", "livekit-client": "^2.16.1", "livekit-server-sdk": "^2.15.0", "lucide-react": "^0.553.0", "next": "^15.5.7", "openai": "^6.8.1", "pdf-lib": "^1.17.1", "pdf-parse": "^2.4.5", "prisma": "^6.19.0", "react": "^19.2.1", "react-dom": "^19.2.1", "react-markdown": "^10.1.0", "recharts": "^3.4.1", "redis": "^5.9.0", "zod": "^3.25.76" }, "devDependencies": { "@tailwindcss/postcss": "^4", "@types/node": "^20", "@types/react": "^19", "@types/react-dom": "^19", "eslint": "^9", "eslint-config-next": "16.0.1", "tailwindcss": "^4", "ts-node-dev": "^2.0.0", "tsconfig-paths": "^4.2.0", "typescript": "^5" } }
t
You're hitting ESM vs CommonJS execution issues. The simplest, reliable fix is to run your TypeScript agent with an ESM-aware runner (tsx) and pass the LiveKit CLI subcommand (
dev
). Do this exact change and steps — it will start the agent runtime in dev mode, show logs, and let your agent entry run so it can publish messages. 1) Install tsx (ESM runner) Run: pnpm add -D tsx 2) Update package.json script Replace your agent script with: "agent:dev": "tsx livekitagent/index.ts dev" 3) Keep package.json "type": "module" (you already have it) — good. 4) Ensure tsconfig has ESM-friendly settings In tsconfig.json set at minimum: { "compilerOptions": { "module": "esnext", "moduleResolution": "node", "target": "es2022", "esModuleInterop": true, "skipLibCheck": true, "outDir": "dist" } } 5) Use the exact index.ts you already have, but with safer run handling (paste this into livekitagent/index.ts): import 'dotenv/config'; import agentDef from './agent.js'; import { cli } from '@livekit/agents'; console.log('agent runner starting, PID=', process.pid); console.log('LIVEKIT_URL=', !!process.env.LIVEKIT_URL, 'API_KEY=', !!process.env.LIVEKIT_API_KEY); try { const res = cli.runApp(agentDef); if (res && typeof (res as any).catch === 'function') { (res as Promise<any>).catch((err) => { console.error('cli.runApp rejected', err); process.exit(1); }); } } catch (err) { console.error('cli.runApp threw', err); process.exit(1); } Notes: • Use .js extension in the import when running with tsx/E MSM loader: import agentDef from './agent.js'; (tsc/tsx resolves .ts -> .js at runtime) • Ensure livekitagent/agent.ts exports default via ESM (defineAgent). When importing from .js the runtime will resolve it. 6) Start the agent Run: pnpm run agent:dev Expected output (examples): • "agent runner starting, PID=..." • CLI starting in dev mode (agents CLI logs) • When a connect/job triggers: "agent entry running, room=..." • "session started" • "agent published initial data message" 7) Trigger the agent entry for testing (if needed) If the agent entry doesn't auto-run when you join the room, trigger manually: npx @livekit/agents connect --url="$LIVEKIT_URL" --api-key="$LIVEKIT_API_KEY" --api-secret="$LIVEKIT_API_SECRET" --room="$AGENT_ROOM_NAME" 8) Client checks Keep browser open and watch console for dataReceived logs. Ensure client joins same room and LIVEKIT_URL. If anything still fails, paste: • Output of pnpm run agent:dev (first 80 lines) • The top 30 lines of livekitagent/agent.ts • Confirmation you ran pnpm add -D tsx and the updated script I can also provide a one-file minimal runnable example (index.ts + agent.ts + package.json snippets) you can paste to validate quickly — would you like that?
b
Copy code
> smart_resume@0.1.0 agent:dev /Users/prathammungekar/Git Repo/smart_resume
> tsx livekitagent/index.ts dev

agent runner starting, PID= 99717
LIVEKIT_URL= true API_KEY= true
/Users/prathammungekar/Git Repo/smart_resume/node_modules/.pnpm/@livekit+agents@1.0.27_@livekit+rtc-node@0.13.22_zod@3.25.76/node_modules/@livekit/agents/src/worker.ts:222
      throw new Error('No Agent file was passed to the worker');
            ^

Error: No Agent file was passed to the worker
    at new ServerOptions (/Users/prathammungekar/Git Repo/smart_resume/node_modules/.pnpm/@livekit+agents@1.0.27_@livekit+rtc-node@0.13.22_zod@3.25.76/node_modules/@livekit/agents/src/worker.ts:222:13)
    at runServer (/Users/prathammungekar/Git Repo/smart_resume/node_modules/.pnpm/@livekit+agents@1.0.27_@livekit+rtc-node@0.13.22_zod@3.25.76/node_modules/@livekit/agents/src/cli.ts:26:34)
    at Command.<anonymous> (/Users/prathammungekar/Git Repo/smart_resume/node_modules/.pnpm/@livekit+agents@1.0.27_@livekit+rtc-node@0.13.22_zod@3.25.76/node_modules/@livekit/agents/src/cli.ts:153:7)
    at Command.listener [as _actionHandler] (/Users/prathammungekar/Git Repo/smart_resume/node_modules/.pnpm/commander@12.1.0/node_modules/commander/lib/command.js:542:17)
    at /Users/prathammungekar/Git Repo/smart_resume/node_modules/.pnpm/commander@12.1.0/node_modules/commander/lib/command.js:1502:14
    at Command._chainOrCall (/Users/prathammungekar/Git Repo/smart_resume/node_modules/.pnpm/commander@12.1.0/node_modules/commander/lib/command.js:1386:12)
    at Command._parseCommand (/Users/prathammungekar/Git Repo/smart_resume/node_modules/.pnpm/commander@12.1.0/node_modules/commander/lib/command.js:1501:27)
    at /Users/prathammungekar/Git Repo/smart_resume/node_modules/.pnpm/commander@12.1.0/node_modules/commander/lib/command.js:1265:27
    at Command._chainOrCall (/Users/prathammungekar/Git Repo/smart_resume/node_modules/.pnpm/commander@12.1.0/node_modules/commander/lib/command.js:1386:12)
    at Command._dispatchSubcommand (/Users/prathammungekar/Git Repo/smart_resume/node_modules/.pnpm/commander@12.1.0/node_modules/commander/lib/command.js:1261:25)

Node.js v24.10.0
t
Thanks — the CLI error shows the agent runner started but the LiveKit CLI didn't receive your agent file. Use the CLI with the --agentFile flag so it can load your defineAgent module. Do this exact change and run these commands. 1) Update package.json script Replace your current script with: "agent:dev": "tsx node_modules/@livekit/agents/src/cli.ts start --agentFile ./livekitagent/index.ts --dev" 2) Ensure files export default defineAgent • livekitagent/index.ts (agent file) should default-export the agent via defineAgent (you already have this). 3) Run the agent From your repo root: pnpm run agent:dev You should see CLI startup logs and the agent entry invoked when a job connects. 4) Trigger a job (if agent entry doesn't auto-run) Run this to connect a test job to the room and invoke entry: npx @livekit/agents connect --url="$LIVEKIT_URL" --api-key="$LIVEKIT_API_KEY" --api-secret="$LIVEKIT_API_SECRET" --room="$AGENT_ROOM_NAME" 5) Verify logs and client • Agent stdout should show "agent entry running..." and "agent published initial data message". • Browser console should show the dataReceived raw/decoded logs you added. Quick checklist if it still fails • Use absolute/relative path exactly as in the script: ./livekitagent/index.ts • Confirm LIVEKIT_* env vars are exported in the shell running pnpm • If you see TS/ESM load errors, run the same script with tsx (we used tsx already) and keep "type":"module" in package.json • Paste the first 60 lines of the pnpm run agent:dev output if it still errors If you want, I can generate the exact package.json snippet plus a tiny connect command you can paste to run immediately. Would you like that?
b
yes please
t
Great — below are exact files, scripts, and commands you can paste to run the agent in dev mode and trigger a test connect so the agent entry runs and publishes a data message. 1) package.json scripts (paste into your package.json "scripts" block)
Copy code
"agent:dev": "tsx node_modules/@livekit/agents/src/cli.ts start --agentFile ./livekitagent/index.ts --dev",
"agent:connect-test": "npx @livekit/agents connect --url=\"$LIVEKIT_URL\" --api-key=\"$LIVEKIT_API_KEY\" --api-secret=\"$LIVEKIT_API_SECRET\" --room=\"$AGENT_ROOM_NAME\""
2) livekitagent/index.ts (agent file — default export)
Copy code
import { defineAgent, voice } from '@livekit/agents';
import * as google from '@livekit/agents-plugin-google';

export default defineAgent({
  entry: async (ctx) => {
    console.log('agent entry running, room=', ctx.room?.name);

    const { Agent, AgentSession } = voice;
    const agent = new Agent({
      instructions: 'You are an AI interviewer. Ask one question at a time.',
    });

    const model = new google.realtime.RealtimeModel({
      model: 'gemini-1.0-realtime',
      voice: 'puck',
      instructions: 'Act as interviewer; ask one question and wait.',
      modalities: ['AUDIO'],
    });

    const session = new AgentSession({ llm: model });

    await session.start({ agent, room: ctx.room });
    console.log('session started');

    try {
      const payload = JSON.stringify({ type: 'chat', text: 'Hello from agent', from: 'agent' });
      await ctx.room.localParticipant.publishData(Buffer.from(payload), 1);
      console.log('agent published initial data message');
    } catch (err) {
      console.error('publishData failed', err);
    }

    await ctx.waitForStop();
    console.log('agent stopping');
  },
});
3) livekitagent/runner.ts (optional — helper to log env early)
Copy code
import 'dotenv/config';
console.log('agent runner starting, PID=', process.pid);
console.log('LIVEKIT_URL=', !!process.env.LIVEKIT_URL, 'API_KEY=', !!process.env.LIVEKIT_API_KEY);
You can import/run this from your shell before starting agent to verify envs. 4) Ensure tsconfig + package.json • package.json: keep "type": "module" • tsconfig.json -> compilerOptions: { "module":"esnext","moduleResolution":"node","target":"es2022","esModuleInterop": true } 5) Install dev helper Run once: pnpm add -D tsx 6) Run the agent (dev) Open a terminal where LIVEKIT_* env vars are exported, then: pnpm run agent:dev You should see CLI startup logs. When an agent job is invoked you’ll see: • "agent entry running..." • "session started" • "agent published initial data message" 7) Trigger a test connect (invoke agent entry) In another terminal (same env vars): pnpm run agent:connect-test 8) Confirm client receives messages • Keep browser open and ensure your client logs 
dataReceived
raw payloads. • The published JSON should appear and render in your UI. 9) If anything fails — what to paste back • Full stdout of pnpm run agent:dev (first 80 lines) • Full stdout of pnpm run agent:connect-test • Browser console logs from the interview page (dataReceived logs) • The values (Y/N) for these envs in the shell: LIVEKIT_URL, LIVEKIT_API_KEY, LIVEKIT_API_SECRET, AGENT_ROOM_NAME If you want, I can generate a tiny runnable repo zip with these files so you can verify locally. Would you like that?
b
what the fucking changes you are asking for my current files // index.ts import 'dotenv/config'; import InterviewerAgent from './agent.ts'; import { cli } from '@livekit/agents'; console.log('agent runner starting, PID=', process.pid); console.log('LIVEKIT_URL=', !!process.env.LIVEKIT_URL, 'API_KEY=', !!process.env.LIVEKIT_API_KEY); // runApp may not return a Promise in this environment, so handle errors with try/catch try { const res = cli.runApp(InterviewerAgent); // if it returns a Promise, attach handler if (res && typeof (res as any).catch === 'function') { (res as Promise<any>).catch((err) => { console.error('cli.runApp rejected', err); process.exit(1); }); } } catch (err) { console.error('cli.runApp threw', err); process.exit(1); } //agent .ts import { defineAgent, voice } from '@livekit/agents'; import * as google from '@livekit/agents-plugin-google'; export default defineAgent({ entry: async (ctx) => { console.log('agent entry running, room=', ctx.room?.name); const { Agent, AgentSession } = voice; const agent = new Agent({ instructions: 'You are an AI interviewer. Ask one question at a time.', }); const model = new google.beta.realtime.RealtimeModel({ model: 'gemini-1.0-realtime', voice: 'puck', instructions: 'Act as interviewer; ask one question and wait.', modalities: ['AUDIO'], }); const session = new AgentSession({ llm: model }); await session.start({ agent, room: ctx.room }); console.log('session started'); // publish a test data message so clients can receive something try { const payload = JSON.stringify({ type: 'chat', text: 'Hello from agent', from: 'agent' }); await ctx.room.localParticipant.publishData(Buffer.from(payload), 1); console.log('agent published initial data message'); } catch (err) { console.error('publishData failed', err); } await ctx.waitForStop(); console.log('agent entry stopping'); }, }); { "name": "smart_resume", "version": "0.1.0", "private": true, "type": "module", "scripts": { "dev": "next dev", "build": "prisma generate && next build", "start": "next start", "lint": "eslint", "postinstall": "prisma generate", "agent:dev": "tsx node_modules/@livekit/agents/src/cli.ts start --agentFile ./livekitagent/agent.ts --dev" }, "dependencies": { "@ai-sdk/google": "^2.0.29", "@livekit/agents": "^1.0.27", "@livekit/agents-plugin-google": "1.x", "@livekit/components-react": "^2.9.17", "@openai/agents": "^0.3.0", "@prisma/client": "^6.19.0", "@qdrant/js-client-rest": "^1.15.1", "@supabase/ssr": "^0.7.0", "@supabase/supabase-js": "^2.81.1", "@upstash/redis": "^1.35.6", "ai": "^5.0.89", "date-fns": "^4.1.0", "dotenv": "^17.2.3", "livekit-client": "^2.16.1", "livekit-server-sdk": "^2.15.0", "lucide-react": "^0.553.0", "next": "^15.5.7", "openai": "^6.8.1", "pdf-lib": "^1.17.1", "pdf-parse": "^2.4.5", "prisma": "^6.19.0", "react": "^19.2.1", "react-dom": "^19.2.1", "react-markdown": "^10.1.0", "recharts": "^3.4.1", "redis": "^5.9.0", "zod": "^3.25.76" }, "devDependencies": { "@tailwindcss/postcss": "^4", "@types/node": "^20", "@types/react": "^19", "@types/react-dom": "^19", "eslint": "^9", "eslint-config-next": "16.0.1", "tailwindcss": "^4", "ts-node-dev": "^2.0.0", "tsconfig-paths": "^4.2.0", "tsx": "^4.21.0", "typescript": "^5" } }
t
Totally understand the frustration — thanks for pasting the exact files and script. I inspected them and here's a short, exact plan to get your agent running and publishing messages immediately. Do the exact changes below and run the two commands I list. What’s wrong (brief) • You’re invoking the Agents CLI but not passing the agent file correctly to the worker when using tsx. The CLI expects an agent module path via --agentFile when using its CLI entry. • Using index.ts to call cli.runApp plus also invoking the CLI directly causes confusion; use the CLI with --agentFile instead. • Small API fixes: use 
google.realtime
(not 
google.beta.realtime
) and ensure your agent file default-exports defineAgent. What to change (copy/paste) 1) package.json scripts — replace your agent script with this exact line: "agent:dev": "tsx node_modules/@livekit/agents/src/cli.ts start --agentFile ./livekitagent/agent.ts --dev" 2) Fix agent import namespace — in livekitagent/agent.ts change the model line to use 
google.realtime
(not 
google.beta.realtime
): const model = new google.realtime.RealtimeModel({ ... }); 3) Remove the index wrapper file (optional) — you can keep it, but it’s not needed when using the CLI command above. If you keep it, don’t call cli.runApp there; use the CLI script instead. 4) Verify agent file exports default defineAgent (your agent.ts already does this — keep it). Exact commands to run (in a shell with LIVEKIT_* env vars set) 1) Start agent in dev mode: pnpm run agent:dev 2) Trigger a test connect (in another terminal, same env): pnpm exec @livekit/agents connect --url="$LIVEKIT_URL" --api-key="$LIVEKIT_API_KEY" --api-secret="$LIVEKIT_API_SECRET" --room="$AGENT_ROOM_NAME" What you should see • Terminal running pnpm run agentdev CLI startup logs then when connect runs you’ll see: agent entry running, room= interview-room session started agent published initial data message • Browser console: logs from your dataReceived handler with the decoded JSON and the message appearing in UI. If that does not produce logs, paste: • Full stdout from pnpm run agent:dev (first 80 lines), • The exact command you used for connect (copy/paste), • Values Y/N for LIVEKIT_URL, LIVEKIT_API_KEY, LIVEKIT_API_SECRET, AGENT_ROOM_NAME in the shell where you ran the commands. I’ll wait for those outputs and help you step the rest of the way.
b
Copy code
smart_resume git:(main) ✗ pnpm run agent:dev

> smart_resume@0.1.0 agent:dev /Users/prathammungekar/Git Repo/smart_resume
> tsx node_modules/@livekit/agents/src/cli.ts start --agentFile ./livekitagent/agent.ts --dev
t
Thanks — the dev command started but the agent entry only runs when a job connects. Please do two quick steps so I can see what’s happening and help immediately: 1) In Terminal A (where you ran pnpm run agent:dev) — wait ~10–15s after the command, then paste the full output from that terminal (first 100 lines). 2) In Terminal B (new shell with the same env vars exported), run this to trigger the agent for your room: pnpm exec @livekit/agents connect --url="$LIVEKIT_URL" --api-key="$LIVEKIT_API_KEY" --api-secret="$LIVEKIT_API_SECRET" --room="$AGENT_ROOM_NAME" After running the connect command, paste the full output from Terminal B and then paste any new lines that appeared in Terminal A. If you prefer, instead of the connect command you can open your frontend and join the same room — but I need the agent and connect logs to diagnose.
b
this also not working
t
Thanks — I can keep troubleshooting, but I need the exact runtime details to pinpoint why the agent never runs. Please provide the items below (do NOT include any secret values): 1) Terminal outputs • Paste the full stdout/stderr from the terminal where you ran: pnpm run agent:dev (include the first ~100 lines and any new output after you tried to trigger the agent) • In a second terminal, run and paste the full output of: pnpm exec @livekit/agents connect --url="$LIVEKIT_URL" --api-key="$LIVEKIT_API_KEY" --api-secret="$LIVEKIT_API_SECRET" --room="$AGENT_ROOM_NAME" 2) Env var checks (reply Y/N) • Are these exported in the same shells you used? ◦ LIVEKIT_URL: ◦ LIVEKIT_API_KEY: ◦ LIVEKIT_API_SECRET: ◦ AGENT_ROOM_NAME: 3) File & import confirmation • Confirm the exact path you passed to 
--agentFile
(e.g., 
./livekitagent/agent.ts
). • Paste the first 10 lines of 
livekitagent/agent.ts
. 4) Process state • When you run 
pnpm run agent:dev
, does the process stay running or exit? (reply: "stays running" or "exits") • If it stays running, do you see any CLI logs after the initial command echo? (yes/no) 5) LiveKit/room info (non-secret) • What LIVEKIT_URL are you using (format only, e.g. 
wss://<project>.livekit.cloud
)? • What AGENT_ROOM_NAME are you testing with? 6) Client checks • Did your browser client join the same room? (yes/no) • Paste browser console logs from joining and any 
dataReceived
handler output. If you prefer I can instead generate a minimal test repo (one agent file + package.json scripts + connect command) you can run to validate your environment. Reply "minimal repo" and I’ll produce it.
b
Copy code
^CForce exit (Ctrl+C pressed twice)
 ELIFECYCLE  Command failed with exit code 130.
➜  smart_resume git:(main) ✗ pnpm run agent:dev

> smart_resume@0.1.0 agent:dev /Users/prathammungekar/Git Repo/smart_resume
> tsx livekitagent/index.ts dev

agent runner starting, PID= 20617
Environment check:
  LIVEKIT_URL= true <wss://vertex-ai-1879pkoh.livekit.cloud>
  LIVEKIT_API_KEY= true SET
  LIVEKIT_API_SECRET= true SET
  GOOGLE_API_KEY= false NOT SET
  GOOGLE_GENERATIVE_AI_API_KEY= true SET
  Agent file: /Users/prathammungekar/Git Repo/smart_resume/livekitagent/agent.ts
Starting LiveKit agent server...
[00:02:06.233] INFO (20617): starting worker
    version: "0.1.0"
[00:02:06.247] INFO (20617): Server is listening on port 62121
[00:02:06.580] INFO (20617): registered worker
    version: "0.1.0"
    id: "AW_vzUphm57M2F2"
    server_info: {
      "edition": "Cloud",
      "version": "1.9.8",
      "protocol": 16,
      "region": "India South",
      "nodeId": "NC_OHYDERABAD1A_UgEB8kGcLe2t",
      "debugInfo": "",
      "agentProtocol": 0
    }
Copy code
// index.ts
import 'dotenv/config';
import { cli, ServerOptions } from '@livekit/agents';
import { fileURLToPath } from 'node:url';
import { dirname, join } from 'node:path';

const __filename = fileURLToPath(import.meta.url);
const __dirname = dirname(__filename);

console.log('agent runner starting, PID=', process.pid);
console.log('Environment check:');
console.log('  LIVEKIT_URL=', !!process.env.LIVEKIT_URL, process.env.LIVEKIT_URL || 'NOT SET');
console.log('  LIVEKIT_API_KEY=', !!process.env.LIVEKIT_API_KEY, process.env.LIVEKIT_API_KEY ? 'SET' : 'NOT SET');
console.log('  LIVEKIT_API_SECRET=', !!process.env.LIVEKIT_API_SECRET, process.env.LIVEKIT_API_SECRET ? 'SET' : 'NOT SET');
console.log('  GOOGLE_API_KEY=', !!process.env.GOOGLE_API_KEY, process.env.GOOGLE_API_KEY ? 'SET' : 'NOT SET');
console.log('  GOOGLE_GENERATIVE_AI_API_KEY=', !!process.env.GOOGLE_GENERATIVE_AI_API_KEY, process.env.GOOGLE_GENERATIVE_AI_API_KEY ? 'SET' : 'NOT SET');

// Get the agent file path relative to this file
const agentFile = join(__dirname, 'agent.ts');
console.log('  Agent file:', agentFile);

// Create ServerOptions with the agent file
const opts = new ServerOptions({
  agent: agentFile,
});

// runApp may not return a Promise in this environment, so handle errors with try/catch
try {
  console.log('Starting LiveKit agent server...');
  const res = cli.runApp(opts);
  // if it returns a Promise, attach handler
  if (res && typeof (res as any).catch === 'function') {
    (res as Promise<any>).catch((err) => {
      console.error('cli.runApp rejected', err);
      process.exit(1);
    });
  }
} catch (err) {
  console.error('cli.runApp threw', err);
  if (err instanceof Error) {
    console.error('Error details:', err.message);
    console.error('Stack:', err.stack);
  }
  process.exit(1);
}
t
Good — the agent server is running and registered with LiveKit Cloud. It’s waiting for a job (a room connect) to invoke your agent entry. I’ll keep this short and give exact next steps to trigger the agent and confirm messages. 1) Trigger the agent by connecting a job (run in a second terminal with same env vars) • Run: pnpm exec @livekit/agents connect --url="$LIVEKIT_URL" --api-key="$LIVEKIT_API_KEY" --api-secret="$LIVEKIT_API_SECRET" --room="$AGENT_ROOM_NAME" 2) Or trigger from your frontend • Open the interview page and have the client join the same room name (
AGENT_ROOM_NAME
) using the same LIVEKIT_URL and a token from your 
/api/token
endpoint. 3) What to expect in agent terminal when entry runs • You should see: ◦ "agent entry running, room= <room name>" ◦ "session started" ◦ "agent published initial data message" 4) What to expect in browser console • You should see the 
dataReceived
raw/decoded logs added earlier, and the chat/transcript UI should update with the agent message. 5) If nothing appears after running the connect command • Paste the full output of both terminals (agent terminal and the connect command terminal). • Confirm these are set in the shells that ran the commands (reply Y/N): ◦ LIVEKIT_URL: ◦ LIVEKIT_API_KEY: ◦ LIVEKIT_API_SECRET: ◦ AGENT_ROOM_NAME: 6) Quick sanity checks • Ensure agent file path passed to CLI matches: 
./livekitagent/agent.ts
• Ensure agent default-exports 
defineAgent({...})
• Ensure frontend token endpoint uses same room name If you run the connect command now and paste both terminals’ outputs, I’ll point to exactly what’s missing and provide the one-line fix.
b
Copy code
smart_resume git:(main) ✗    pnpm run agent:connect

> smart_resume@0.1.0 agent:connect /Users/prathammungekar/Git Repo/smart_resume
> tsx livekitagent/index.ts connect --room interview-room

agent runner starting, PID= 29487
Environment check:
  LIVEKIT_URL= true <wss://vertex-ai-1879pkoh.livekit.cloud>
  LIVEKIT_API_KEY= true SET
  LIVEKIT_API_SECRET= true SET
  GOOGLE_API_KEY= false NOT SET
  GOOGLE_GENERATIVE_AI_API_KEY= true SET
  Agent file: /Users/prathammungekar/Git Repo/smart_resume/livekitagent/agent.ts
Starting LiveKit agent server...
[00:15:49.653] INFO (29487): starting worker
    version: "0.1.0"
[00:15:49.669] INFO (29487): Server is listening on port 53125
[00:15:50.152] INFO (29487): registered worker
    version: "0.1.0"
    id: "AW_wdsUha76vzmg"
    server_info: {
      "edition": "Cloud",
      "version": "1.9.8",
      "protocol": 16,
      "region": "India South",
      "nodeId": "NC_OHYDERABAD1A_pGoWBHFTVQD3",
      "debugInfo": "",
      "agentProtocol": 0
    }
[00:15:50.153] INFO (29487): connecting to room interview-room
[00:15:51.855] INFO (29487): received job request
    version: "0.1.0"
    jobId: "AJ_ZRVppoMuWBbQ"
    resuming: false
    agentName: ""
agent entry running, room= undefined
Connecting agent to room...
Agent connected to room
Failed to start agent session: TypeError: logger not initialized. did you forget to run initializeLogger()?
    at log (/Users/prathammungekar/Git Repo/smart_resume/node_modules/.pnpm/@livekit+agents@1.0.27_@livekit+rtc-node@0.13.22_zod@3.25.76/node_modules/@livekit/agents/src/log.ts:28:11)
    at AgentSession.<instance_members_initializer> (/Users/prathammungekar/Git Repo/smart_resume/node_modules/.pnpm/@livekit+agents@1.0.27_@livekit+rtc-node@0.13.22_zod@3.25.76/node_modules/@livekit/agents/src/voice/agent_session.ts:132:20)
    at new AgentSession (/Users/prathammungekar/Git Repo/smart_resume/node_modules/.pnpm/@livekit+agents@1.0.27_@livekit+rtc-node@0.13.22_zod@3.25.76/node_modules/@livekit/agents/src/voice/agent_session.ts:171:5)
    at entry (/Users/prathammungekar/Git Repo/smart_resume/livekitagent/agent.ts:36:23)
    at async <anonymous> (/Users/prathammungekar/Git Repo/smart_resume/node_modules/.pnpm/@livekit+agents@1.0.27_@livekit+rtc-node@0.13.22_zod@3.25.76/node_modules/@livekit/agents/src/telemetry/traces.ts:109:16)
    at async DynamicTracer.startActiveSpan (/Users/prathammungekar/Git Repo/smart_resume/node_modules/.pnpm/@livekit+agents@1.0.27_@livekit+rtc-node@0.13.22_zod@3.25.76/node_modules/@livekit/agents/src/telemetry/traces.ts:107:12)
    at async <anonymous> (/Users/prathammungekar/Git Repo/smart_resume/node_modules/.pnpm/@livekit+agents@1.0.27_@livekit+rtc-node@0.13.22_zod@3.25.76/node_modules/@livekit/agents/dist/ipc/job_proc_lazy_main.js:72:5)
Error message: logger not initialized. did you forget to run initializeLogger()?
Error stack: TypeError: logger not initialized. did you forget to run initializeLogger()?
    at log (/Users/prathammungekar/Git Repo/smart_resume/node_modules/.pnpm/@livekit+agents@1.0.27_@livekit+rtc-node@0.13.22_zod@3.25.76/node_modules/@livekit/agents/src/log.ts:28:11)
    at AgentSession.<instance_members_initializer> (/Users/prathammungekar/Git Repo/smart_resume/node_modules/.pnpm/@livekit+agents@1.0.27_@livekit+rtc-node@0.13.22_zod@3.25.76/node_modules/@livekit/agents/src/voice/agent_session.ts:132:20)
    at new AgentSession (/Users/prathammungekar/Git Repo/smart_resume/node_modules/.pnpm/@livekit+agents@1.0.27_@livekit+rtc-node@0.13.22_zod@3.25.76/node_modules/@livekit/agents/src/voice/agent_session.ts:171:5)
    at entry (/Users/prathammungekar/Git Repo/smart_resume/livekitagent/agent.ts:36:23)
    at async <anonymous> (/Users/prathammungekar/Git Repo/smart_resume/node_modules/.pnpm/@livekit+agents@1.0.27_@livekit+rtc-node@0.13.22_zod@3.25.76/node_modules/@livekit/agents/src/telemetry/traces.ts:109:16)
    at async DynamicTracer.startActiveSpan (/Users/prathammungekar/Git Repo/smart_resume/node_modules/.pnpm/@livekit+agents@1.0.27_@livekit+rtc-node@0.13.22_zod@3.25.76/node_modules/@livekit/agents/src/telemetry/traces.ts:107:12)
    at async <anonymous> (/Users/prathammungekar/Git Repo/smart_resume/node_modules/.pnpm/@livekit+agents@1.0.27_@livekit+rtc-node@0.13.22_zod@3.25.76/node_modules/@livekit/agents/dist/ipc/job_proc_lazy_main.js:72:5)
[00:15:54.090] DEBUG (lk-rtc/29519): Connect callback received
Copy code
import 'dotenv/config';
import { defineAgent, voice, initializeLogger } from '@livekit/agents';
import * as google from '@livekit/agents-plugin-google';

export default defineAgent({
  entry: async (ctx) => {
    // Initialize logger if not already initialized (for job process)
    try {
      // Try to access logger - if it fails, initialize it
      const { log } = await import('@livekit/agents');
      log();
    } catch {
      // Logger not initialized, initialize it with default options
      initializeLogger({ pretty: true, level: 'debug' });
    }
    
    console.log('agent entry running, room=', ctx.room?.name);

    // Check for required environment variables
    const googleApiKey = process.env.GOOGLE_API_KEY || process.env.GOOGLE_GENERATIVE_AI_API_KEY;
    if (!googleApiKey) {
      console.error('ERROR: GOOGLE_API_KEY or GOOGLE_GENERATIVE_AI_API_KEY environment variable is not set');
      console.error('Please set one of these environment variables to use Gemini Live API');
      throw new Error('Missing Google API key');
    }

    // Connect to the room first
    console.log('Connecting agent to room...');
    await ctx.connect();
    console.log('Agent connected to room');

    const { Agent, AgentSession } = voice;
    const agent = new Agent({
      instructions: 'You are an AI interviewer. Ask one question at a time.',
    });

    try {
      const model = new google.beta.realtime.RealtimeModel({
        model: 'gemini-1.0-realtime',
        voice: 'puck',
        instructions: 'Act as interviewer; ask one question and wait.',
        modalities: ['audio'],
      });

      const session = new AgentSession({ llm: model });

      await session.start({ agent, room: ctx.room });
      console.log('session started successfully');

      // publish a test data message so clients can receive something
      try {
        if (ctx.room?.localParticipant) {
          const payload = JSON.stringify({ type: 'chat', text: 'Hello from agent', from: 'agent' });
          await ctx.room.localParticipant.publishData(
            new Uint8Array(Buffer.from(payload)),
            { reliable: true }
          );
          console.log('agent published initial data message');
        }
      } catch (err) {
        console.error('publishData failed', err);
      }

      // Wait for the room to disconnect
      await new Promise<void>((resolve) => {
        if (!ctx.room) {
          resolve();
          return;
        }
        const onDisconnected = () => {
          console.log('agent disconnected');
          ctx.room.off('disconnected', onDisconnected);
          resolve();
        };
        ctx.room.on('disconnected', onDisconnected);
      });
      console.log('agent entry stopping');
    } catch (err) {
      console.error('Failed to start agent session:', err);
      if (err instanceof Error) {
        console.error('Error message:', err.message);
        console.error('Error stack:', err.stack);
      }
      throw err;
    }
  },
});
t
Thanks — you’re very close. I reviewed the latest agent logs and agent.ts: the agent is starting and connecting to the room, but AgentSession fails because the logger wasn’t initialized and you’re using the beta namespace + lowercase modality name. Do these exact minimal edits to fix it now. 1) Update livekitagent/agent.ts — replace its contents with this (paste as-is):
Copy code
import 'dotenv/config';
import { defineAgent, voice, initializeLogger } from '@livekit/agents';
import * as google from '@livekit/agents-plugin-google';

// initialize logger at top level
initializeLogger({ pretty: true, level: 'debug' });

export default defineAgent({
  entry: async (ctx) => {
    console.log('agent entry running, room=', ctx.room?.name);

    const googleApiKey = process.env.GOOGLE_API_KEY || process.env.GOOGLE_GENERATIVE_AI_API_KEY;
    if (!googleApiKey) {
      console.error('Missing Google API key (set GOOGLE_API_KEY or GOOGLE_GENERATIVE_AI_API_KEY)');
      throw new Error('Missing Google API key');
    }

    console.log('Connecting agent to room...');
    await ctx.connect();
    console.log('Agent connected to room');

    const { Agent, AgentSession } = voice;
    const agent = new Agent({
      instructions: 'You are an AI interviewer. Ask one question at a time.',
    });

    try {
      // use google.realtime and correct modality name 'AUDIO'
      const model = new google.realtime.RealtimeModel({
        model: 'gemini-1.0-realtime', // replace with a model you have access to if needed
        voice: 'puck',
        instructions: 'Act as interviewer; ask one question and wait.',
        modalities: ['AUDIO'],
        apiKey: googleApiKey,
      });

      const session = new AgentSession({ llm: model });

      await session.start({ agent, room: ctx.room });
      console.log('session started');

      // publish a test data message so clients can receive something
      if (ctx.room?.localParticipant) {
        const payload = JSON.stringify({ type: 'chat', text: 'Hello from agent', from: 'agent' });
        await ctx.room.localParticipant.publishData(new Uint8Array(Buffer.from(payload)), { reliable: true, topic: 'agent_messages' });
        console.log('agent published initial data message');
      }

      // wait until stopped
      await ctx.waitForStop();
      console.log('agent stopping');
    } catch (err) {
      console.error('Failed to start agent session:', err);
      throw err;
    }
  },
});
2) Add/verify env var for Google key • You have GOOGLE_GENERATIVE_AI_API_KEY set; make sure GOOGLE_API_KEY is present or the code will use the alternate name. Quick fix (in terminal before running agent): export GOOGLE_API_KEY="$GOOGLE_GENERATIVE_AI_API_KEY" 3) Start agent in dev mode (your existing script is fine). In project root run: pnpm run agent:dev 4) Trigger a connect (new terminal, same env): pnpm exec @livekit/agents connect --url="$LIVEKIT_URL" --api-key="$LIVEKIT_API_KEY" --api-secret="$LIVEKIT_API_SECRET" --room="$AGENT_ROOM_NAME" 5) Confirm logs and client • Agent terminal should show: "agent entry running...", "session started", "agent published initial data message". • Browser console should log dataReceived payloads and UI should render messages (topic 'agent_messages'). If you still see an error: • Paste the new agent terminal output (first 80 lines) and the exact browser console lines for dataReceived. I’ll pinpoint the next small fix.
b
Copy code
➜  smart_resume git:(main) ✗ pnpm run agent:connect

> smart_resume@0.1.0 agent:connect /Users/prathammungekar/Git Repo/smart_resume
> tsx livekitagent/index.ts connect --room interview-room

agent runner starting, PID= 38746
Environment check:
  LIVEKIT_URL= true <wss://vertex-ai-1879pkoh.livekit.cloud>
  LIVEKIT_API_KEY= true SET
  LIVEKIT_API_SECRET= true SET
  GOOGLE_API_KEY= false NOT SET
  GOOGLE_GENERATIVE_AI_API_KEY= true SET
  Agent file: /Users/prathammungekar/Git Repo/smart_resume/livekitagent/agent.ts
Starting LiveKit agent server...
[00:26:54.867] INFO (38746): starting worker
    version: "0.1.0"
[00:26:54.883] INFO (38746): Server is listening on port 59036
[00:26:55.232] INFO (38746): registered worker
    version: "0.1.0"
    id: "AW_WhKu5Jk4ZFyb"
    server_info: {
      "edition": "Cloud",
      "version": "1.9.8",
      "protocol": 16,
      "region": "India South",
      "nodeId": "NC_OHYDERABAD1A_pGoWBHFTVQD3",
      "debugInfo": "",
      "agentProtocol": 0
    }
[00:26:55.233] INFO (38746): connecting to room interview-room
[00:26:56.970] INFO (38746): received job request
    version: "0.1.0"
    jobId: "AJ_tsQSCgW5rZe8"
    resuming: false
    agentName: ""
agent entry running, room= undefined
Connecting agent to room...
Agent connected to room
[00:26:59.037] WARN (38777): JobContext is not available
session started successfully
[00:26:59.046] DEBUG (38777): connection state changed
    state: 1
[00:26:59.047] WARN (38777): JobContext is not available
[00:26:59.047] DEBUG (38777): Agent handoff inserted into chat context
    agent: {
      "_id": "default_agent",
      "_chatCtx": {
        "items": []
      },
      "_instructions": "You are an AI interviewer. Ask one question at a time.",
      "_tools": {}
    }
[00:26:59.053] DEBUG (38777): Connecting to Gemini Realtime API...
[00:26:59.068] DEBUG (38777): using audio io: `ParticipantAudioInputStream` -> `AgentSession` -> `SyncedAudioOutput`
[00:26:59.068] DEBUG (38777): using transcript io: `AgentSession` -> `SyncedTextOutput`
[00:26:59.070] DEBUG (38777): connection state changed
    state: 1
[00:26:59.035] DEBUG (lk-rtc/38777): Connect callback received
agent published initial data message
[00:27:00.098] DEBUG (38777): Gemini Live session closed:
[00:27:00.257] INFO (38746): received job request
    version: "0.1.0"
    jobId: "AJ_PRvcnfYYAYuE"
    resuming: false
    agentName: ""
agent entry running, room= undefined
Connecting agent to room...
Agent connected to room
[00:27:01.906] WARN (38838): JobContext is not available
session started successfully
[00:27:01.919] DEBUG (38838): connection state changed
    state: 1
[00:27:01.921] WARN (38838): JobContext is not available
[00:27:01.922] DEBUG (38838): Agent handoff inserted into chat context
    agent: {
      "_id": "default_agent",
      "_chatCtx": {
        "items": []
      },
      "_instructions": "You are an AI interviewer. Ask one question at a time.",
      "_tools": {}
    }
[00:27:01.931] DEBUG (38838): Connecting to Gemini Realtime API...
[00:27:01.950] DEBUG (38838): using audio io: `ParticipantAudioInputStream` -> `AgentSession` -> `SyncedAudioOutput`
[00:27:01.950] DEBUG (38838): using transcript io: `AgentSession` -> `SyncedTextOutput`
[00:27:01.952] DEBUG (38838): connection state changed
    state: 1
agent published initial data message
[00:27:01.903] DEBUG (lk-rtc/38838): Connect callback received
[00:27:02.783] DEBUG (38838): Gemini Live session closed:
t
You're almost there — the agent is running, connecting, and publishing test messages. Good progress. Two small blockers remain: the room name is undefined in your entry (so ctx.room?.name shows undefined) and the Gemini session closes quickly. Follow these focused checks and fixes so the frontend receives and renders agent messages. 1) Confirm room name and JobContext • The job log shows "received job request" and agent entry ran, but 
ctx.room?.name
was undefined. That's OK if the job was a direct connect without room metadata; use the room object instead of name. • In your agent entry replace the log with: console.log('agent entry running; room sid=', ctx.room?.sid, 'participants=', ctx.room?.participants?.size); This verifies the room object exists even if name is missing. 2) Ensure frontend is receiving data messages • You saw "agent published initial data message" — now verify the browser console: ◦ Add this log in your client (inside connect effect): room.on('dataReceived', (payload, participant, topic) => { console.log('DATA RECEIVED topic=', topic, 'from=', participant?.identity, 'raw=', payload); try { console.log('decoded=', new TextDecoder().decode(payload)); } catch(e){console.warn(e);} }); • If you see the raw log, the UI update code should run. If you don't, confirm client joined the same LiveKit URL and room and has an active token. 3) Gemini session closing quickly — likely causes • Missing or invalid Google API key for the model, or model name mismatch. Your env shows GOOGLE_GENERATIVE_AI_API_KEY set but GOOGLE_API_KEY was not — ensure the agent is using the key: export GOOGLE_API_KEY="$GOOGLE_GENERATIVE_AI_API_KEY" • Use a valid model name you have access to. If unsure, keep the agent test minimal (skip starting a Gemini session) and only publish a data message to confirm full pipeline first. 4) Short-term test to isolate failures • Temporarily comment out session.start() and only publish a data message. Example: // await session.start(...); await ctx.room.localParticipant.publishData(...); • Restart agent, run connect, confirm client receives the message. If it does, Gemini/session is the remaining variable. 5) If Gemini must run, validate model & credentials • Confirm model string is valid for your Google account. • Confirm the agent passes the key to plugin (we set apiKey in model config). • Watch agent logs for plugin errors (they printed "Gemini Live session closed:" — paste the lines after that if you want me to inspect). 6) Address "JobContext is not available" warnings • Those WARNs are informational when code runs in a worker process context where some high-level job helpers aren't present. They can be ignored if ctx.room and ctx.connect() work. If you need JobContext features, ensure your agent creation pattern matches LiveKit Agents docs — but not required to publish data/audio. 7) Next steps I can run you through (pick one) • A: Help confirm the frontend logs — paste browser console output for dataReceived. • B: Help fix Gemini session: paste the agent log lines after "Gemini Live session closed" and confirm which model name you used. • C: Provide a minimal agent that skips Gemini and publishes repeated test messages so you can validate UI end-to-end. Which would you like next?
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