The agent never finishes what they're saying and j...
# ask-ai
m
The agent never finishes what they're saying and just ends speaking abruptly.
g
The issue of an agent abruptly ending its speech could be related to how the audio tracks are being managed. According to LiveKit documentation, the
VoicePipelineAgent
uses a queue to manage speech playback, and interruptions can occur if the queue is not managed properly. Additionally, if the agent is unpublishing tracks too early, it might cause the speech to cut off before completion, as discussed in a Slack conversation. Would you like more details on how to manage the speech queue or handle track publishing to prevent this issue? Sources: - Slack Conversation on Track Management - LiveKit documentation 👍 1 button 👎 0 button 💡 Hint: Mention @millions-hair-24956 in the thread for followups.
m
Yes, I am using
VoicePipelineAgent
and that could be the one causing these issues. How do I fix that?
@millions-hair-24956 Yes, I am using
VoicePipelineAgent
and that could be the one causing these issues. How do I fix that?
g
To address the issue of the
VoicePipelineAgent
abruptly ending speech, you should ensure that the audio tracks are managed correctly and that the speech queue is not interrupted prematurely. Here are some steps you can take: 1. Manage Speech Queue: Ensure that the speech queue is properly managed and that interruptions are handled correctly. The
VoicePipelineAgent
uses a queue to manage speech playback, and interruptions can occur if the queue is not managed properly. You can use the
say
method with the
allow_interruptions
parameter set to
False
to prevent interruptions during speech playback. 2. Track Publishing: Avoid unpublishing tracks too early. As per a Slack conversation, unpublishing tracks prematurely can cause the speech to cut off. Instead, use the
wait_for_playout
method to ensure that the audio track has finished playing before unpublishing it. 3. Event Handling: Utilize the
agent_stopped_speaking
event to detect when the agent has finished speaking. This can help you manage the timing of track unpublishing and ensure that the speech is not cut off. Here's a code snippet to illustrate managing the speech queue and handling track publishing:
Copy code
async def play_speech(agent, text):
    await agent.say(text, allow_interruptions=False)
    await agent.wait_for_playout()  # Ensure the speech has finished playing
Would you like more detailed guidance on implementing these steps? Sources: - Slack Conversation on Track Management - LiveKit documentation 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.