How can i make the agent respond to the chat message

Thanks for reaching out, Aditya. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.

I am using the meeting conference from livekit where people can chat, how do i let my agent to read those chat messages

You're asking how to let your LiveKit agent read chat messages in a meeting—happy to help. A couple quick clarifying questions so I give the exact steps and code you need: 1. Which SDK/language is your agent running in (Node.js, Python, or another)? 2. Is the agent running inside the same Room as the meeting participants, or as a separate session/service? 3. Do you want the agent to automatically read every chat message on the meeting chat, or only messages that mention the agent or use a specific topic/format? Answer those and I’ll provide concise, example code and the recommended setup (auto-listen vs. filtered) for your environment.

Python agent and next js

Thanks — since you’re using a Python agent and a Next.js frontend, I can give step-by-step code. Quick clarifying question before I give examples: is your agent joined to the same LiveKit Room as the meeting participants (so it can receive room chat directly), or is it running as a separate service that should only read messages forwarded to it? If it’s in the same Room, tell me whether you want the agent to: • auto-read all

lk.chat

messages, or • only react to messages that mention the agent or use a special prefix/topic. Answer those two points and I’ll provide concise Python and Next.js snippets and the recommended Room/options configuration.

Auto read all messages

Great — since you want the Python agent to auto-read all meeting chat messages from a Next.js frontend, follow these steps. 1) Next.js: send messages on topic

lk.chat

// wherever you have the room client
await room.localParticipant.sendText('Hello everyone', { topic: 'lk.chat' });

2) Python agent: ensure text input is enabled (default) and start the session so it listens to

lk.chat

. Example with an optional custom handler that simply interrupts and generates a reply for every incoming message:

from livekit.agents import AgentSession
from livekit.agents.voice import room_io
from livekit.plugins import deepgram, openai, elevenlabs, silero

# create session (text_input is True by default)
session = AgentSession(
    stt=deepgram.STT(),
    llm=openai.LLM(),
    tts=elevenlabs.TTS(),
    vad=silero.VAD.load(),
)

# optional: custom handler (called for every text input on lk.chat)
def text_input_cb(session: AgentSession, event: room_io.TextInputEvent):
    msg = event.text
    # interrupt any speech and ask the agent to generate a reply using the message
    session.interrupt()
    session.generate_reply(user_input=msg)

# start the agent in the room with text input options
await session.start(
    agent=MyAgent(),           # your Agent implementation
    room=ctx.room,            # room context / connection
    room_options=room_io.RoomOptions(
        text_input=room_io.TextInputOptions(text_input_cb=text_input_cb)
    ),
)

Notes: • You do not need extra subscriptions: AgentSession listens to

lk.chat

by default when text input is enabled. • If you omit

text_input_cb

, the agent will still auto-handle

lk.chat

messages (interrupt and generate a reply). • Ensure the agent is joined to the same LiveKit Room as meeting participants. Would you like a version tailored to your existing agent class or the exact Next.js file where you call

sendText

? Sources: Text and transcriptions | LiveKit docs | Agent speech and audio | LiveKit docs