What happens when the human refersh the pag or close the tab LiveKit Community #ask-ai

What happens when the human refersh the pag or clo...

steep-shampoo-86436

12/24/2025, 6:42 PM

What happens when the human refersh the pag or close the tab and open another one after 1 minute, while the agent and room still exist? I want him to be able to restore the session where he stopped

tall-airline-16756

12/24/2025, 6:42 PM

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

tall-airline-16756

12/24/2025, 6:43 PM

Thanks — I’m responding about what happens when the human refreshes the page or closes and reopens a tab (after ~1 minute) while the agent and room still exist, and how to restore the session where they left off. What happens now • If the agent and room remain active, the human can rejoin the same LiveKit room using the same room name, identity, and access token. • On rejoin the participant regains audio/video streams and the running AgentSession keeps its state (order/context, tool state, LLM conversation history). • The AgentSession preserves in-memory state across brief disconnects, so conversation state is available immediately when the user reconnects. • The session will not automatically “replay” missed messages or actions to the user — you must decide how to surface missed content. Recommended steps to restore user session seamlessly 1. Use persistent room names and stable participant identities so the user can rejoin the same room after refresh. 2. Keep the agent connected (or ensure at least one participant remains) so the room and AgentSession stay active. 3. Reuse the same access token/identity on reconnect or issue a short-lived token tied to that identity so the client can rejoin without a new flow. 4. On reconnect, fetch the AgentSession state and send a short summary or replay of recent events (e.g., last N messages, current tool/state) so the user knows where they left off. 5. For stronger durability (agent restarts or longer disconnects), persist session state externally (e.g.,

userdata

or a DB) and restore it into the AgentSession on reconnection. Questions to tailor guidance • Do you currently issue tokens tied to a stable identity, or do users get new random identities each load? • Do you want automatic replay of missed audio/video, or a text summary/notification on reconnect? • Do you need session state to survive agent restarts (longer-term persistence)? If you tell me which of those you prefer, I’ll give concrete implementation steps for reconnect tokens and sample logic to summarize or replay missed activity. Sources: examples/drive-thru | livekit/livekit_composite | DeepWiki | Job lifecycle | LiveKit docs | client-sdk-swift | livekit/livekit_composite | DeepWiki | Agents and handoffs | LiveKit docs

steep-shampoo-86436

12/24/2025, 6:45 PM

I want to load the transcript again and i want longer term persistence for the agent

tall-airline-16756

12/24/2025, 6:46 PM

Thanks — I’m responding about loading the transcript on reconnect and enabling longer-term persistence for the agent session. What you can do (high-level) • Persist transcripts and AgentSession state to external storage (database, object store, or

userdata

) whenever significant events happen (messages, tool state updates, transcript chunks). • On user reconnect, fetch the persisted transcript and session state, rehydrate the AgentSession, and send the transcript or a short summary to the user so they can resume where they left off. Concrete steps to implement 1. Persist transcript and session state ◦ Save incremental transcript entries (speaker, timestamp, text) and AgentSession state (order/context, tool state, LLM history pointers) to your preferred storage after each turn or at short intervals. ◦ Include metadata: room name, participant identity, session ID, and last-updated timestamp. 1. Rehydrate on reconnect ◦ When the user rejoins with the same identity/room, query storage for the latest session record. ◦ Restore AgentSession state from the saved data so the agent resumes with the same context and tool states. ◦ Send the full transcript or a summarized view to the user (e.g., last N minutes or a generated summary) so they can quickly catch up. 1. Token/identity handling ◦ Ensure users reconnect with a stable identity (or map short-lived identities to a persistent user ID) so you can locate the correct persisted session. 1. Optional UX improvements ◦ Offer a “Resume conversation” prompt that shows the last few transcript lines and a button to load the full transcript. ◦ Provide a generated summary as default and let the user expand the complete transcript. Questions to tailor the implementation • Where do you prefer to store session data (SQL DB, NoSQL, object store, or LiveKit

userdata

)? • Do you want the full transcript delivered automatically on reconnect, or a short summary with an explicit “show full transcript” action? • Do agent restarts need to be fully transparent to users, or is brief agent reinitialization acceptable during restore? Tell me your storage choice and preferred UX for replay (auto vs. manual), and I’ll provide specific code patterns and a sample flow for saving and restoring the transcript and AgentSession.

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