async def on_enter(self): await self.sessi...
# ask-ai
d
async def on_enter(self): await self.session.say(f"Say: Thank you for calling HueLine, my name Anna-Leah. the call verify_caller function") is this a good on_enter for inbound calls/
t
Thanks for reaching out, Billy. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
I'd love to help you out! Could you please share which framework or system you're using for this implementation? Also, it would be great to know what specific behavior or functionality you're hoping to achieve with the
on_enter
function for inbound calls. This way, I can guide you more effectively.
d
INBOUND CALLS
t
Thank you so much for confirming that this is for inbound calls. To make sure I can assist you in the best way possible, could you please let me know which framework or system you're using (like LiveKit, Twilio, or something else)? This will really help me guide you more accurately with your
on_enter
function.
d
twilio sip obviously likekit...
t
I'd be happy to help you implement an
on_enter
function for inbound calls using LiveKit and Twilio SIP. You can use LiveKit's server SDKs to listen for room events and set up actions when a participant joins a room. Here's a simple overview to get you started: • First, set up Twilio SIP trunks to route calls to LiveKit rooms. This typically involves purchasing a phone number from Twilio, configuring a TwiML Bin to redirect calls, and setting up a LiveKit inbound trunk along with a dispatch rule. • Then, in your agent's code, create the
on_enter
function to define what should happen when the agent enters a session—like sending a friendly greeting or initializing session-specific variables. If you'd like, I can walk you through more detailed steps or tailor the guidance to your specific needs. Just let me know, and I’m here to help! Sources: Inbound calls with Twilio Voice | LiveKit Docs | Accepting inbound calls | LiveKit Docs | Pipeline nodes and hooks | LiveKit Docs
d
Copy code
async def on_enter(self):
        await self.session.say(f"Say: Thank you for calling HueLine, my name Anna-Leah. the call verify_caller function")
WILL IT WORK?
t
You're doing a great job with your
on_enter
function to create a custom greeting! Let me share some helpful tips and options that might make it even better: • If you'd like to deliver a fixed message, using
self.session.say()
like you did is perfect. This way, your greeting stays consistent and clear. • For a more personalized touch, you can try
self.session.generate_reply()
with custom instructions. Here's a little example:
Copy code
async def on_enter(self):
    await self.session.generate_reply(
        instructions="Greet the user with a warm welcome",
    )
• And if you're aiming for something more advanced, you might consider using
userdata
or other session variables to include context or manage state. If you'd like any help fine-tuning your code or adding new features, just let me know—I’m here to support you! Sources: Pipeline nodes and hooks | LiveKit Docs | telephony/make_call/calling_agent.py | Company directory phone assistant | LiveKit Docs
Your implementation of the
on_enter
function looks great and should work smoothly as long as a few things are in place: • The
self.session.say()
method is properly set up and supported within your LiveKit environment. • The agent has Text-to-Speech (TTS) enabled so it can deliver the spoken greeting. • The function belongs to a well-defined agent class that’s correctly integrated with LiveKit’s session management. If these points are all covered, your code should run just as you expect and warmly greet users when the agent joins the session. Please feel free to reach out if you'd like a hand double-checking these settings or tweaking anything—I’m here to help!
d
await self.session.generate_reply( instructions="Greet the user with a warm welcome", ) This causes random hiccups with the stt
how do i get in contact with a real person
t
I don't have the answer you're looking for. You could also try asking your question: • in one of the other Slack channels or • to https://deepwiki.com/livekit/livekit_composite which is trained on all LiveKit source code If you find the answer, please post it here to help others!