hey, sometimes it seems livekit is not hearing the...
# ask-ai
r
hey, sometimes it seems livekit is not hearing the message inbetween.During a Phone Booker session, the agent intermittently fails to capture the user's message and stays silent, not responding until the user speaks again to re-initiate the interaction.
t
Thanks for reaching out, Riddhi. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
To address the issue of intermittent message capture failures during a Phone Booker session, where the agent stays silent until the user speaks again, here are some troubleshooting steps and configuration adjustments you can try: • Increase AudioSource Queue Size: Prevent frame capture failures by increasing the queue size to 2000ms when creating your AudioSource:
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audio_source = rtc.AudioSource(
    sample_rate=sample_rate,
    num_channels=channels,
    queue_size_ms=2000  # Increase from default to prevent overflow
)
• Adjust Voice Activity Detection (VAD) Sensitivity: Reduce the
min_silence_duration
to 0.3s to improve speech detection:
vad_stream = VADStream(min_silence_duration=0.3)
• Modify Endpointing Delays: Reduce the
min_endpointing_delay
to make the agent more responsive:
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session = AgentSession(
    min_endpointing_delay=0.3,  # Reduce from default 0.5s
    max_endpointing_delay=4.0,  # Optionally reduce max delay
    turn_detection="vad"  # Explicitly set turn detection mode
)
• Increase Error Retry Limits: Configure the session to allow more retries for unrecoverable errors:
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conn_options = SessionConnectOptions(
    max_unrecoverable_errors=5  # Increase from default 3
)

session = AgentSession(
    conn_options=conn_options
)
• Enable Detailed Logging: Use logging to identify where capture failures occur in the pipeline. • Monitor Silence Detection: Implement silence monitoring to detect when the agent becomes unresponsive:
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@agent.on("user_started_speaking")
def on_user_started_speaking(_msg: llm.ChatMessage):
    user_last_spoke_time = time.time()

async def monitor_interaction():
    while True:
        if time.time() - user_last_spoke_time > SILENCE_THRESHOLD:
            <http://logger.info|logger.info>("silent for too long! disconnecting")
            await ctx.room.disconnect()
        await asyncio.sleep(1)
These steps should help resolve the issue and improve the agent's responsiveness. Let me know if further assistance is needed. Sources: livekit-agents/livekit/agents/voice/audio_recognition.py | Speech &amp; Audio Processing | livekit/livekit_composite | DeepWiki