aloof-fountain-55595
09/11/2025, 10:31 PMtall-airline-16756
09/11/2025, 10:31 PMtall-airline-16756
09/11/2025, 10:31 PMsip_dtmf_received
event and simulate it as user speech while interrupting ongoing agent speech, here’s a friendly step-by-step guide to help you through it:
1. Set up a DTMF event listener: Start by using the room's event system to register a handler for the sip_dtmf_received
event. This way, DTMF tones are caught and processed smoothly, without any delays.
2. Interrupt agent speech: When you detect the event, use session.interrupt()
to gently pause any ongoing agent speech and switch the session into listening mode. This helps keep the conversation natural and responsive.
3. Simulate user speech: Next, you can use session.generate_reply(user_input=...)
to feed a text message into the agent’s conversation flow, making it feel like the user just spoke. You can map those DTMF digits to specific user intents or responses to keep things clear.
4. Integrate with agent lifecycle: Make sure your agent is properly initialized with the right session and userdata, and that it gracefully handles important room events like disconnections. This keeps everything running smoothly behind the scenes.
5. Optional - Handle call transfers: If your DTMF input indicates a department choice, you can update the user state accordingly and use the LiveKit SIP API to transfer calls seamlessly. This adds a nice touch of flexibility!
If you’d like, I’m here to provide detailed code examples or walk you through any part of this. Just let me know—I’m happy to help!
Sources: VoicePipelineAgent | LiveKit Docs | Turn detection and interruptions | LiveKit Docs | Company directory phone assistant | LiveKit Docs | README.md | Handling DTMF | LiveKit Docsaloof-fountain-55595
09/12/2025, 11:31 PMtall-airline-16756
09/12/2025, 11:32 PMsession.generate_reply
isn't properly recognizing the DTMF buffer. Let's explore some alternatives and best practices that might make things smoother for you:
1. Use session.say()
for predefined responses: Instead of generating replies dynamically, you might find it easier to use session.say()
to deliver a fixed response based on the DTMF input. For example:
await session.say("You pressed the following digits: {dtmf_buffer}. Please hold while we process your request.")
2. Handle DTMF input directly with event-driven logic: Consider using the sip_dtmf_received
event to manage the input and connect it to specific actions or responses. This approach helps avoid relying on generate_reply
for processing input.
3. Maintain proper state management: It’s helpful to use a shared state object (like userdata
) to keep track of the DTMF buffer, making sure the agent has the right context when handling it.
4. Interrupt ongoing speech when needed: Before processing DTMF input, calling session.interrupt()
ensures the agent is ready and focused on the new input.
5. Debugging tip: Logging the DTMF buffer and agent responses can give you insight into whether the input is processed correctly. For example:
<http://logger.info|logger.info>(f"DTMF buffer processed: {dtmf_buffer}")
If any of this feels unclear or if you'd like me to walk you through some more examples, just let me know—I'm happy to help!
Sources: Company directory phone assistant | LiveKit Docs | README.md | Docs::Recipes | Handling DTMF | LiveKit Docs | Agent speech and audio | LiveKit Docsaloof-fountain-55595
09/12/2025, 11:33 PMtall-airline-16756
09/12/2025, 11:34 PM