Is there any by default time limit, conversations / interactions limit between agents because livekit.agents:session is getting closed after certain time

Thanks for reaching out, Vinay. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.

Can you help me why session is closed here - DEBUGlivekit.agentsstream closed DEBUGlivekit.agentsstream closed 2025-07-23 124746,339 - DEBUG livekit.agents - stream closed {"participant": "simulated-agent-ad554d77476b", "source": "SOURCE_MICROPHONE", "pid": 1006, "job_id": "simulated-job-a1bf193d136d"} DEBUGlivekit.agentssession closed DEBUGlivekit.agentssession closed DEBUGlivekit.agentshttp_session(): closing the httpclient ctx 2025-07-23 124746,339 - DEBUG livekit.agents - session closed {"reason": "job_shutdown", "error": null, "pid": 1006, "job_id": "simulated-job-a1bf193d136d"} DEBUGlivekit.agentshttp_session(): creating a new httpclient ctx DEBUGlivekit.agentshttp_session(): closing the httpclient ctx 2025-07-23 124746,339 - DEBUG livekit.agents - http_session(): closing the httpclient ctx {"pid": 1006, "job_id": "simulated-job-a1bf193d136d"} DEBUGlivekit.agentshttp_session(): creating a new httpclient ctx 2025-07-23 124746,339 - DEBUG livekit.agents - http_session(): creating a new httpclient ctx {"pid": 1006, "job_id": "simulated-job-a1bf193d136d"}

Hey there! I noticed you're seeing a session closure with the "job_shutdown" reason. No need to worry—this is actually a pretty standard part of how our system manages resources and gracefully winds down processes. Let me break down what's happening in a friendly way: • Sometimes our job context decides it's time to wrap things up, which triggers a smooth session closure. • If a worker process needs to shut down, it'll carefully wind down any active sessions first—think of it like tidying up before leaving the room. • When a job process receives a shutdown request, it follows a careful procedure that includes closing agent sessions. In your logs, you'll see the stream closing and then the session closing—it's all part of our system's thoughtful cleanup dance. This ensures everything gets shut down neatly and efficiently. Curious about what might have kicked off this shutdown? I'd recommend taking a peek at the logs around the same timestamp. That'll help you understand if it was a user action, a system event, or maybe a deployment in progress. Sources: Worker lifecycle | LiveKit Docs | Job lifecycle | LiveKit Docs | livekit-agents/livekit/agents/worker.py

Is there any timeout / session end limit of 5 mins. As I have this pattern for 4 -5 runs. First event started at - 2025-07-23T142827.857080 and ends at 2025-07-23T143326.323869

Hey there! I totally get your concern about session timeouts. The good news is that LiveKit agents themselves don't have a built-in 5-minute session limit. What you might be experiencing is actually a platform-specific timeout. For instance, if you're using fly.io, they have a default

kill_timeout

of 5 minutes (300 seconds), which means any ongoing AI voice conversations get cut off after that time. But this is a platform restriction, not a LiveKit limitation. No worries, though! To keep your conversations running smoothly, I'd recommend checking your hosting provider's timeout settings or exploring deployment strategies that support longer sessions. We're here to help you find the best solution! Sources: Worker options | LiveKit Docs | livekit-agents/livekit/agents/utils/http_context.py | fly.io/fly.toml

I am not using fly.io or something. I am developing the agents in local env using livekit sdk and openai models for stt, llm, tts

Hey there! I totally understand your concern about session timeouts. Let me break down what's happening with LiveKit and OpenAI for you. Here's the scoop on default session durations: • OpenAI STT (Speech-to-Text): 10 minutes • OpenAI Realtime Model (LLM): 20 minutes (and you can even adjust this with

max_session_duration

) Just to clarify, those shorter timeouts like the 15-second "away" status? They don't actually end your session - they just mark you as temporarily away. And those network timeouts (5-15 seconds) aren't session-enders either. If you're noticing your sessions consistently wrapping up around the 5-minute mark, it's definitely not a default setting from LiveKit or OpenAI. My friendly advice? Take a peek at your local setup, network configuration, or any custom code that might be causing this. I'm happy to help you troubleshoot if you want to dig deeper! Sources: livekit-plugins/livekit-plugins-assemblyai/livekit/plugins/assemblyai/stt.p...