powerful-dog-59275
12/19/2025, 5:05 PMOpenAI Realtime API connection failed, retrying in 0.1s , however after the reconnection happens, livekit has connected to a new session it appears, and all OAI session history is wiped out. looks like OAI docs said you have to add the context history back in to the new session, i was wonderingg if LK has functionality to do that automaticallytall-airline-16756
12/19/2025, 5:05 PMtall-airline-16756
12/19/2025, 5:05 PMsession.history to your backend or a cache).
• On reconnection detect that the OAI session was replaced and re-inject the stored history into the new RealtimeModel session by loading those messages as the chat context.
• Note: loading long history can force the model into text-only mode (so test limits and modality changes), and you may want to only re-inject a summarized subset or the most recent N messages.
• If you use Azure/OpenAI variants, initialize the new RealtimeModel and TTS plugin appropriately (e.g., using with_azure or equivalent for your provider) before loading history.
If you'd like, tell me:
• which SDK/language you're using (browser JS, Node, or server),
• whether you already persist session.history, and
• whether you need to preserve audio/TTS state or only text context—
and I can give a concise code sketch for capturing and re-injecting history.
Sources: Realtime model plugins | LiveKit Docs | OpenAI Realtime API plugin guide | LiveKit docs | Agents and handoffs | LiveKit docs | Azure OpenAI Realtime API and LiveKit | LiveKit docs | Azure AI Services and LiveKit | LiveKit Docspowerful-dog-59275
12/19/2025, 5:58 PMtall-airline-16756
12/19/2025, 5:59 PMsession.history and replays it into a new OpenAI Realtime session? Sources: Connecting to LiveKit | LiveKit docspowerful-dog-59275
12/19/2025, 5:59 PMtall-airline-16756
12/19/2025, 6:00 PMAgentSessionEventTypes.Reconnecting fires when reconnect attempts start.
• AgentSessionEventTypes.Reconnected fires when reconnection succeeds.
Use these to trigger recovery logic (for example, reload stored OpenAI history into a new RealtimeModel). Example:
import { voice } from '@livekit/agents';
// session is your AgentSession instance
session.on(voice.AgentSessionEventTypes.Reconnecting, () => {
console.log('Agent is reconnecting...');
// optional: mark state, pause UI, persist in-memory history
});
session.on(voice.AgentSessionEventTypes.Reconnected, async () => {
console.log('Agent has reconnected');
// example recovery steps:
// 1) retrieve persisted chat history from your backend/cache
// 2) create or obtain new RealtimeModel if OpenAI session was replaced
// 3) re-inject recent/summarized messages into the model context
// 4) resume TTS/audio if needed
});
Notes and recommendations:
• LiveKit does not automatically reload OpenAI Realtime conversation into a new OpenAI session. If OpenAI creates a new session on reconnect, you must re-inject the prior context from your persisted session.history or your own store.
• Persist the most relevant recent messages (or a summary) rather than the full history to avoid modality/text-only issues and hitting input limits.
• On Reconnecting you can snapshot session.history to a fast cache; on Reconnected, replay that snapshot into the new RealtimeModel before resuming audio output.
If you want, tell me:
• how you currently persist history (if at all), and
• whether you need a concrete Node code sample showing persistence + re-injection into OpenAI Realtime — I’ll provide that. Sources: Connecting to LiveKit | LiveKit docs | How We Built a Globally Distributed WebRTC Mesh Network | How We Built a Globally Distributed WebRTC Mesh Network | Handling events | LiveKit docs | Azure OpenAI Realtime API and LiveKit | LiveKit docspowerful-dog-59275
12/19/2025, 6:03 PMtall-airline-16756
12/19/2025, 6:03 PM@livekit/agents
• @livekit/rtc-node or @livekit/client (whichever you have)
If you prefer, paste your package.json dependencies and I’ll confirm whether your version includes the AgentSession/Room reconnection events and recommend an upgrade command if needed.
Sources: Connecting to LiveKit | LiveKit docs | Job lifecycle | LiveKit docs | client-sdk-js | livekit/livekit_composite | DeepWikipowerful-dog-59275
12/19/2025, 6:04 PMtall-airline-16756
12/19/2025, 6:04 PMReconnecting and Reconnected events are available (you can listen on the AgentSession / Room as shown earlier).
• LiveKit does NOT automatically restore OpenAI Realtime conversation context after an OpenAI session is replaced; you must persist and re-inject history yourself on Reconnected.
Minimal Node example for v1.0.24:
import { voice } from '@livekit/agents';
// `session` is your AgentSession instance
session.on(voice.AgentSessionEventTypes.Reconnecting, () => {
console.log('Reconnecting — snapshot session.history to cache');
// snapshot: persist session.history to your cache/backend
});
session.on(voice.AgentSessionEventTypes.Reconnected, async () => {
console.log('Reconnected — restore OpenAI context if needed');
// 1) retrieve persisted history
// 2) create/obtain new RealtimeModel for OpenAI if session replaced
// 3) re-inject recent/summarized messages into the model before resuming TTS
});
If you want, I can provide a concrete code snippet showing:
• how to snapshot session.history to memory or Redis on Reconnecting, and
• how to re-inject that history into a new OpenAI RealtimeModel on Reconnected. Which storage do you prefer (in-memory, Redis, or DB)?