Hello, i am trying to handle an unexpected scenario, where the agent service throws

"OpenAI S2S connection closed unexpectedly".

i assume this connection is between livekit agent and openai. When this error is thrown, the agent stays in the room, but will never respond because the connection is broken. i am trying to find a way to re-establish the ws connection and setting the old chat context again to resume the normal flow. but

[RealtimeSession.set_chat_ctx]

never finishes. and shortly after, another error is thrown saying

"Cannot write to closed transport"

. i don't know the specifics of why this error is thrown, i assume its because its still using the old ws connection to update the chat context and failing after a timeout.

It might be possible that the error

"OpenAI S2S connection closed unexpectedly"

is due to a broken WebSocket connection between LiveKit and OpenAI. This could be related to network issues or the connection being closed unexpectedly. The error

"Cannot write to closed transport"

suggests that attempts are being made to send data over a WebSocket that is already closed, which aligns with your assumption about the old WebSocket connection being used. To address this, it might be helpful to ensure that the WebSocket connection is properly closed and a new connection is established before attempting to set the chat context again. You could try explicitly closing the existing session and creating a new

RealtimeSession

instance to re-establish the connection. Additionally, ensure that any asynchronous tasks related to the old session are properly awaited and completed before starting a new session. Would you like more detailed guidance on how to implement this? Sources: - https://docs.livekit.io/python/livekit/plugins/openai/realtime/index.html#livekit.plugins.openai.realtime.RealtimeSession - https://docs.livekit.io/python/livekit/plugins/openai/realtime/realtime_model.html#livekit.plugins.openai.realtime.realtime_model.RealtimeSession Note: I wasn’t able to find highly relevant data sources, but above are a few potentially relevant links. 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

@millions-hair-24956 yes, i need detailed guidance on how to implement it. additionally, the agent service is hosted on aws, so i highly doubt that network conditions are bad.

It could be possible that the issue is not directly related to network conditions but rather to how the WebSocket connection is being managed. Here's a step-by-step guide on how you might handle the reconnection and chat context restoration: 1. Close the Existing Session: Before attempting to reconnect, ensure that the existing

RealtimeSession

is properly closed. This involves calling the

aclose()

method on the session to ensure all resources are released.

await session.aclose()

2. Create a New Session: Instantiate a new

RealtimeSession

object. This will establish a new WebSocket connection to OpenAI.

new_session = RealtimeSession(opts=opts, http_session=http_session, chat_ctx=chat_ctx, fnc_ctx=fnc_ctx, loop=loop)

3. Set the Chat Context: Once the new session is established, set the chat context using the

set_chat_ctx()

method. This will synchronize the local chat context with the new session.

await new_session.set_chat_ctx(chat_ctx)

4. Handle Errors Gracefully: Implement error handling to catch and log any exceptions that occur during the reconnection process. This will help in diagnosing issues if the reconnection fails.

try:
       await new_session.set_chat_ctx(chat_ctx)
   except Exception as e:
       logger.error(f"Failed to set chat context: {e}")

5. Monitor Connection Status: Use event listeners to monitor the connection status and automatically attempt reconnection if the connection is lost. This can be done by listening for specific events that indicate a disconnection. 6. AWS Hosting Considerations: Since your service is hosted on AWS, ensure that your security group settings allow for the necessary inbound and outbound traffic. This includes ensuring that WebSocket ports are open and accessible. Would you like more information on any specific part of this process? Sources: - https://livekit-users.slack.com/archives/C07FVFGAUKX/p1730378788.948389 - https://livekit-users.slack.com/archives/C07FY8WHGPM/p1730298503.320419 Note: I wasn’t able to find highly relevant data sources, but above are a few potentially relevant links. 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.