What you built

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Your code and the example

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What the example adds

1. Knowledge. look_up_salon_info and look_up_refund_policy search the salon’s own documents, so Robin quotes the guide instead of guessing a price.
2. Receipts and confirmations for every write. Booking, moving and cancelling each ask a question first and say a fixed line after. Most turns cost one model request.
3. Held saves. A save made before the caller answered is held, and the call’s end settles it. Pipecat calls UnmuteFlows.settle. LiveKit does it on its own.
4. A locked phone number. customer_phone is locked to the state on every diary tool, so the model never types it.
5. Phone calls. sip_call_info and telephony_call_info read what a phone call carries into state.call. On a browser or console call, UNMUTE_CALL_START simulates a caller.
6. A complaint mid-booking. manage_booking offers to_complaints too, so a complaint in the middle of a booking goes straight to the specialist.

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Run the full example

cd examples/salon-concierge-unmute/livekit
cp .env.example .env              # fill in the keys
uv sync
lk agent console agent.py         # talk through your microphone
lk agent console --text agent.py  # or type

cd examples/salon-concierge-unmute/pipecat
cp .env.example .env              # fill in the keys
uv sync
uv run bot.py -t webrtc           # then open http://localhost:7860

1. “I’d like to book a haircut on Friday.” The agent checks your number, offers times, confirms and books.
2. “How much is a full head colour?” It answers from the salon guide.
3. “My last colour went wrong, I want to complain.” It hands you to the complaint specialist.
4. “Can I also move my haircut to Saturday?” It hands you back to the concierge, who moves it.
5. “That’s all, bye.” It says goodbye and hangs up.

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Where to go next