getting this: 13:58:37 #18 2.058 ImportError: cann...
# ask-ai
f
getting this: 135837 #18 2.058 ImportError: cannot import name 'event_handler' from 'livekit.agents'
t
Thanks for reaching out, Shashwat. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
Hey there! The error happens because
event_handler
isn’t actually part of the LiveKit Agents API. It’s not included in the
livekit.agents
module, which is why the import doesn’t work. To handle events in LiveKit, here are some friendly ways you can do it: • Room Event Handlers with Decorators: You can use decorators on room objects to catch events like when participants connect or subscribe to tracks. Here’s a quick example:
Copy code
from livekit import rtc

room = rtc.Room()

@room.on("participant_connected")
def on_participant_connected(participant: rtc.RemoteParticipant):
    <http://logging.info|logging.info>(f"Participant connected: {participant.sid} {participant.identity}")
EventEmitter Class: If you want custom event handling, the
EventEmitter
class from
livekit.agents.utils
is your friend.
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from livekit.agents.utils import EventEmitter

emitter = EventEmitter[str]()
Agent Event System: There are also predefined event types like
AgentEvent
,
ErrorEvent
, and more, which are great for agent-specific stuff. If you don’t mind, could you share a bit more about the kind of events you’re trying to handle or where you saw the
event_handler
mentioned? That way, I can help you find the right approach. Sources: livekit-agents/livekit/agents/utils/__init__.py | terminal-client/client.py
f
I am using it like this: @event_handler("data_received") async def handle_data_message(self, data: bytes, participant): """Handle incoming data messages from frontend client.""" try: # Decode and parse the data message message_str = data.decode('utf-8') message = json.loads(message_str) # Check if this is an end_of_conversation message if message.get("type") == "end_of_conversation": reason = message.get("reason", "unknown") timestamp = message.get("timestamp", "unknown") print(f"Received end_of_conversation from frontend: {reason} at {timestamp}") except (UnicodeDecodeError, json.JSONDecodeError) as e: print(f"Failed to parse data message: {e}") except Exception as e: print(f"Error handling data message: {e}")
t
Hey there! Just a quick heads-up: the decorator
@event_handler
isn’t actually part of the LiveKit API, which is why you’re seeing that error. No worries though—LiveKit has some solid ways to handle events for data messages. Here are a few options you might find helpful: • Event Emission in Python: You can use the
emit
method to manage events like
data_received
. Here’s a quick example:
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self.emit(
    "data_received",
    DataPacket(
        data=data,
        kind=packet.kind,
        participant=rparticipant,
        topic=packet.user.topic,
    ),
)
Topic-Based Filtering: You can filter messages by topics, which makes it easier to handle specific types of data messages. • Reliable and Lossy Delivery: Depending on your needs, you can pick reliable (ordered delivery) or lossy (single send) modes for sending messages. Could you let me know if you’re focusing on handling
data_received
events specifically, or if you’d like some help setting up a custom event handler? I’m here to help and can guide you based on what you need! Sources: Data messages | LiveKit Docs | packages/react/src/hooks/useDataChannel.ts | livekit-compose-components/src/main/java/io/livekit/android/compose/flow/Da... | Sources/LiveKit/Protocols/ParticipantDelegate.swift | Shared/Contexts/RoomContext.swift
f
Is this the right way to receive data messages from the client?
t
Hey there! Just a quick heads-up: the approach you're using with
@event_handler
isn’t supported in LiveKit because the
event_handler
decorator isn’t actually part of the LiveKit API. To properly receive data messages from the client, it’s best to use the event emission pattern that LiveKit provides. Here’s a friendly example of how you can handle
data_received
events in Python:
Copy code
self.emit(
    "data_received",
    DataPacket(
        data=data,
        kind=packet.kind,
        participant=rparticipant,
        topic=packet.user.topic,
    ),
)
This way, you can easily process incoming data messages, filter them by topic, and handle everything just right. If you want a hand with implementing this or tailoring it to your specific setup, just give me a shout—I’m here to help!