How to allow interruptions here: llm_...
# ask-ai
r
How to allow interruptions here: llm_instance = google.beta.realtime.RealtimeModel( model="gemini-live-2.5-flash-preview", temperature=1.0, instructions=realtime_instructions, # Use the fully formed instructions with emoji restriction modalities=[types.Modality.TEXT], ) tts = openai.TTS( model="gpt-4o-mini-tts", voice=openai_voice, instructions=f"You are a {language_name} tutor. Read the whole text with a subtle {language_name} accent", )
t
Thanks for reaching out, Phanos. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
Could you please help me understand a bit more about what you mean by "allow interruptions" in this context? Are you talking about enabling interruptions during real-time audio playback, text-to-speech processing, or maybe something else? Also, are you working within a LiveKit room or a different environment? I'm here to help you through this!
r
I want the user to be able to interrupt during realtime audio playback in a livekit room. Then the context should be truncated
t
I'm happy to guide you through allowing user interruptions during real-time audio playback in a LiveKit room and managing the context accordingly. Here's how you can set it up: • Enable Interruptions: You can enable interruptions by setting session options like
allow_interruptions=True
. To make it just right for your needs, you can adjust parameters such as
min_interruption_duration
(default is 0.5 seconds) and
min_interruption_words
(default is 0). • Truncate Context: When an interruption happens, LiveKit can automatically truncate the context with the
truncate
method. This method takes parameters like
message_id
and
audio_end_ms
to neatly finalize the audio and text output up to that interruption point. • Monitor Playback State: The
SpeechHandle
API is your friend here—it helps you wait for audio playback to finish and manage interruptions smoothly. The
playback_finished
event includes a
playback_position
field that tells you exactly where to truncate the message. • False Interruption Handling: To avoid cutting off audio too soon, you can set a
false_interruption_timeout
. This allows playback to resume if the user stops speaking briefly after an interruption is triggered. By setting these up, you'll ensure that the audio, transcription, and chat context stay perfectly in sync, creating a smooth and seamless experience for your users. If you'd like, I’m here to help you dive into any of these details further—just let me know! Sources: Agent speech and audio | LiveKit Docs | livekit-agents/livekit/agents/voice/agent_activity.py | agents/src/voice/agent_activity.ts | VoicePipelineAgent | LiveKit Docs | Turn detection and interruptions | LiveKit Docs
r
2025-09-15 192340,987 - WARNING - livekit.plugins.google - truncate is not supported by the Google Realtime API.
t
Thanks for reaching out! I wanted to let you know that the Google Realtime API doesn’t support the
truncate
method in LiveKit. This is something that’s clearly mentioned in both the Python and JavaScript versions of the Google Realtime plugin. So, when the
truncate
method is called, it simply logs a warning and doesn’t perform any action. To work around this, you might want to create your own way of managing context truncation—like limiting the conversation history or manually handling the context based on playback position. If you'd like, I’m here to help guide you through setting this up. Just let me know! Sources: livekit-plugins/livekit-plugins-openai/livekit/plugins/openai/realtime/real... | plugins/openai/src/realtime/realtime_model.ts