Why do i face room disconnections silent failure i...
# ask-ai
n
Why do i face room disconnections silent failure if for some time no audio packets are sent or received How to solve this for production level
t
Thanks for reaching out, Rishabh. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
Thanks — you're asking why rooms silently disconnect when no audio packets flow for a period, and how to prevent that in production. I hear your frustration; this is common in systems that use silence detection. Brief answer • Silent disconnections happen because a silence-detection task closes the session when time since last audio exceeds a configured threshold. • To prevent this in production, raise the silence timeout or replace automatic disconnects with more robust lifecycle handling and observability. Recommended production actions 1. Increase the silence threshold ◦ Set the silence timeout to a value that fits your user behavior (e.g., tens of seconds or minutes instead of a few seconds). 1. Replace automatic disconnects for interactive sessions ◦ Disable or avoid auto-disconnect on silence for workflows where long pauses are normal. ◦ Use participant lifecycle events (e.g., participant_left) or explicit session-end signals instead. 1. Add graceful fallback detection ◦ Combine silence checks with other signals (e.g., RTCP activity, presence heartbeats, or LLM-based voicemail detection if applicable) so short pauses don’t trigger closure. 1. Improve observability and retries ◦ Enable debug logging and session reports to confirm why disconnects occur. ◦ Make disconnect handling idempotent and retry-friendly so transient failures don’t drop participants permanently. 1. Ensure high availability ◦ Run multiple worker instances for any background tasks that manage silence detection or session cleanup to avoid single-worker misbehavior. Quick questions to tailor guidance • Do you control the silence-detection code (custom) or is this behavior coming from a library/agent you use? • What typical pause lengths do you expect in real usage? • Do you want automatic cleanup for truly abandoned calls, or do you prefer manual/session-explicit termination? Tell me which option fits your setup and I’ll give exact config snippets or code patterns to implement it. Sources: How to detect and handle silence during calls | examples/drive-thru | livekit/livekit_composite | DeepWiki | Agents Framework | livekit/livekit_composite | DeepWiki | Why is my Agent insights data missing? | LiveKit | Agent session | LiveKit Documentation, with interactive elements
n
What if i set dtx to false Will it help
t
Short answer: setting DTX to false will make the codec send audio packets during silence, but it will not stop silent room disconnections if those are caused by application-level silence detection. Disabling DTX only increases bandwidth; it doesn't change higher-level logic that closes rooms when no speech is detected. What to do for production • If you control the silence-detection logic: raise the silence threshold or disable automatic disconnects for interactive sessions. • Prefer lifecycle signals (e.g., participant_left or explicit session-end) or presence heartbeats instead of relying on audio traffic. • Combine signals (RTCP, presence, or LLM-based voicemail detection) rather than only checking audio packets. • Add logging and monitoring so you can see exactly which signal triggered a disconnect. Want exact steps or example config/code for your setup? Tell me whether the disconnects come from your own silence-checker or from a library/agent you use, and the typical pause length you expect. Sources: Bringing Zoom's end-to-end optimizations to WebRTC | LiveKit | Bringing Zoom's end-to-end optimizations to WebRTC | LiveKit | How to detect and handle silence during calls | examples/bank-ivr | livekit/livekit_composite | DeepWiki | examples/drive-thru | livekit/livekit_composite | DeepWiki, with interactive elements
n
I am not explicitly controlling any silence detection
t
Thanks — I’m responding to your question about whether turning DTX off will stop silent room disconnections, given you aren’t explicitly running silence detection. Short answer • Disabling DTX will not stop silent room disconnections. DTX only affects how the codec reduces packets during silence; it does not change higher‑level logic that disconnects rooms when no speech/activity is detected. Why • Silent disconnections are normally caused by application/agent logic (or sometimes the SIP/carrier) that looks for speech activity and calls a disconnect when a silence threshold is exceeded. If you’re not calling that yourself, an included agent/library or the SIP side is likely doing it. Practical production steps 1. Audit code and libraries ◦ Check any agents, templates, or SDK extensions you use for built‑in silence timers (look for checks of "last spoke" or calls to `room.disconnect()`/end-call helpers). 1. Prefer lifecycle signals over silence ◦ Use explicit session end signals (participant_left, EndCallTool, or your own API) instead of relying on audio presence. 1. If you must tolerate long pauses ◦ Increase or remove the silence timeout in the code that enforces it, or send periodic low‑level comfort noise/heartbeat packets so activity signals persist. ◦ Combine signals (RTCP/heartbeat/presence) instead of just audio packets. 1. Keep DTX enabled ◦ Keep DTX on for bandwidth savings; disabling it only increases traffic and won’t prevent logical timeouts. 1. Improve observability ◦ Enable debug logs and inspect logs around disconnect time to see whether a disconnect was triggered programmatically or by the network/SIP provider. If you want, tell me: • which SDK/agent or SIP provider you’re using (or paste the snippet that manages session cleanup), and • the typical pause length you need to support— and I’ll point to the exact places to change or provide a small code/config snippet to prevent these disconnects. Sources: examples/bank-ivr | livekit/livekit_composite | DeepWiki | How to detect and handle silence during calls | Agents Framework | livekit/livekit_composite | DeepWiki | examples/drive-thru | livekit/livekit_composite | DeepWiki | examples/frontdesk | livekit/livekit_composite | DeepWiki, with interactive elements
n
I am using livekit 2.4.7 sdk
t
Thanks — responding to your note that you’re on LiveKit SDK 2.4.7 and aren’t explicitly running silence detection. Short answer • Disabling DTX will not prevent silent room disconnections. DTX only reduces audio packets during silence (bandwidth optimization); it does not affect connection state or any application-level timers. What’s most likely happening • LiveKit itself does not disconnect rooms for silence. Silent disconnects are usually caused by one of: ◦ agent/library code that implements a silence timeout and calls
room.disconnect()
(check any templates/examples you used), ◦ SIP/carrier timeouts (carriers may drop calls on long silence), ◦ or network/connectivity problems (ICE/STUN/TURN keep‑alive failures, NAT timeouts). Recommended production actions 1. Audit code and dependencies ◦ Search your codebase and any agent/template libraries for silence timers or calls to
room.disconnect()
/ end-call helpers. 1. Keep DTX enabled ◦ Leave DTX on for bandwidth and scalability — disabling it only increases traffic and won’t stop logical timeouts. 1. Use explicit lifecycle signals ◦ Rely on participant events (
participant_left
), an explicit end-call API, or an EndCallTool rather than audio activity to determine session end. 1. If long pauses are expected ◦ Increase or remove any silence threshold in the agent logic, or inject low-level comfort noise/heartbeat packets and/or presence heartbeats so “activity” persists. 1. Check network/transport ◦ Verify ICE/STUN/TURN setup and logs. Network keep‑alive failures cause disconnects after ~15–20s; use TURN if clients are behind restrictive NATs. If you want, I can: • Scan for common silence-timeout code snippets if you paste relevant parts of your server/agent code, or • Provide a small code/config example (for your SDK version) to implement presence heartbeats or disable silence-based cleanup. Which would you like me to show? Sources: Bringing Zoom's end-to-end optimizations to WebRTC | LiveKit | Understanding the STATE_MISMATCH Disconnect Reason | How to detect and handle silence during calls | examples/drive-thru | livekit/livekit_composite | DeepWiki | examples/voice_agents | livekit/livekit_composite | DeepWiki, with interactive elements
n
I don't know I just know that i sometime face ghost disconnection I don't know when did the connection got cut When i try to speak or listen i find that i am or the other person has lost connection
t
Sorry this is happening — I know ghost disconnects are frustrating. I’ll help you narrow it down and fix it. Quick checklist to gather clues (please answer any that apply) • Platform(s): which client platforms (web, iOS, Android, Node) and SDK language are you using? • Symptoms: does audio only drop, or does video and data also stop? • Timing: roughly how long after silence before you notice the problem? • Errors/events: can you share any client/server logs or events around disconnect time (connectionState, ICE state, or any error like
PeerConnectionDisconnected
/
StateMismatch
)? • Topology: are you using TURN, a SIP gateway, or any custom agents/templates? • Scale/network: are users behind NAT/cellular networks or specific carriers? Immediate steps to run now 1. Enable verbose/debug logs on client and server and reproduce; look for ICE/DTLS/PeerConnection state transitions and any
room.disconnect()
calls. 2. Monitor connection events on the client: ◦ connectionState / iceConnectionState / signalingState ◦ participant events (joined/left) 1. Verify TURN is configured and working for clients behind restrictive NATs. 2. Confirm there’s no library/agent code calling
room.disconnect()
or a silence timer in your dependencies. 3. If you suspect carrier/SIP, test a pure LiveKit-to-LiveKit call (no SIP) to separate carrier issues. What I can do next • If you paste a short client log snippet (connection/ICE state transitions) or your server/agent cleanup code, I’ll point to the exact cause or the line that triggers disconnects. • I can share a code snippet to add connection-state monitoring and automatic reconnection/heartbeat for SDK 2.4.7. Which would you like to do first — share logs or get the monitoring/reconnect snippet? , with interactive elements
n
It might be due to internet issue But sometime if internet issue is there it reconnects But sometime we dont get to know and it just silently break the connection
t
Thanks — I hear that you see intermittent “ghost” disconnects (sometimes auto-reconnects, sometimes silent break) and want concrete steps to find and fix the cause. Here’s a focused plan you can run quickly. Immediate checks (do these first) • Enable verbose logs on client and server (SDK 2.4.7 debug). Reproduce and capture timestamps. • Watch these client events and paste any suspicious transitions: ◦
connectionState
,
iceConnectionState
,
signalingState
◦
participant
joined/left events • Confirm whether video/data also stop or only audio. Network-focused checks • Verify TURN is configured and reachable for clients behind NATs. Test a call with TURN forced on. • Inspect ICE/STUN timing in logs — PeerConnectionDisconnected or StateMismatch indicate network/transport issues. • If clients are on cellular/wifi, test under same network conditions and with a stable LAN to compare. Quick mitigations to reduce silent failures • Add client-side connection monitoring and auto-reconnect: ◦ Listen to
iceConnectionState
/
connectionState
and attempt reconnect or re-join when they become "disconnected" or "failed". • Add a lightweight heartbeat/presence message every 10–15s (data channel or a small audio comfort-noise packet) so long NAT mappings and carriers see activity. • Keep DTX enabled (it won’t cause disconnects and saves bandwidth). What I can do next • If you share a short log snippet showing the state transitions around a disconnect, I’ll pinpoint whether it’s network/ICE, SDK/logic, or an explicit
room.disconnect()
call. • Or I can provide a minimal SDK 2.4.7 code snippet for: (A) connection-state monitoring + auto-reconnect or (B) a heartbeat implementation—which do you want?, with interactive elements
n
I was thinking of setting dtx false such that there is constant flow of bytes and audio packets And a constant health check checking iceconnection
t
Thanks — I’ll respond to your plan (disable DTX + add ICE health checks) and give compact, practical guidance for SDK 2.4.7. Short verdict • Disabling DTX will make the codec send packets during silence but will NOT reliably prevent silent/ghost disconnects. DTX is a bandwidth optimization only. • The right approach is to keep DTX enabled and add connection health checks + reconnection/heartbeat logic. If you still disable DTX, expect higher bandwidth usage. Recommended immediate changes 1. Keep DTX enabled for production (bandwidth/scalability benefits). 2. Add ICE/connection-state monitoring and automatic recovery: ◦ Listen for
iceConnectionState
/
connectionState
and treat "disconnected" / "failed" as a trigger to attempt rejoin or restart the PeerConnection. 1. Add a lightweight heartbeat if you need to keep NAT/Carrier mappings alive: ◦ Send a small periodic message over a DataChannel (every 10–15s) or inject low-level comfort noise—this is cheaper than disabling DTX. 1. Log timestamps of state changes for diagnosis (capture when ICE goes to "failed"/"disconnected" and when reconnect succeeds). Minimal code patterns (SDK 2.4.7 — adapt to your language) • To disable DTX on an outgoing audio track (example pseudocode):
Copy code
// when creating/publishing audio track
const pub = await room.localParticipant.publishTrack(micTrack, {
  opus: { dtx: false } // increases bandwidth
});
• Connection-state monitoring + simple reconnect (pseudocode):
Copy code
room.on('connectionStateChanged', (state) => {
  if (state === 'disconnected' || state === 'failed') {
    // attempt reconnect logic: e.g., try to join again or recreate connection
    attemptReconnect();
  }
});

room.on('participantDisconnected', (p) => {
  // log and handle unexpected participant drops
});
• Heartbeat over DataChannel:
Copy code
const dc = room.localParticipant.createDataChannel('hb');
setInterval(() => {
  if (dc.readyState === 'open') dc.send(JSON.stringify({ t: Date.now(), type: 'hb' }));
}, 15000);
When to disable DTX • Only consider disabling DTX if you have a specific SIP/carrier requirement that treats silence as packet loss and you cannot otherwise send heartbeats. Prefer heartbeats or comfort-noise injection first. If you want, I can: • Provide a full runnable snippet for your client platform (web/iOS/Android/Node), or • Review a short client log (ICE/connection state transitions) to point to the root cause. Which would you prefer? , with interactive elements
n
t
Thanks — I looked over your plan idea. Before I review the doc in detail, could you paste a short summary or the key steps you plan to implement (heartbeat method, reconnection logic, whether you’ll disable DTX, platforms targeted)? That’ll let me give concise, actionable feedback and a targeted code snippet for SDK 2.4.7. , with interactive elements
n
Just review the doc
t
I can’t open external links. Please paste the document text or a short summary of the key steps you plan to implement (heartbeat method, reconnection flow, whether you’ll disable DTX, target platforms). I’ll review and give concise, actionable feedback for SDK 2.4.7. , with interactive elements
n
To build a "bulletproof" connection system in LiveKit 2.7, you need to implement a Layered Priority Model. The goal is to let LiveKit handle the heavy lifting while your custom logic acts as the "referee" that updates the UI and steps in only when the SDK is stuck in a "ghost state." 1. The Strategy: The "Three-Layer" Firewall • Layer 1 (The UI): Real-time feedback using LiveKit's internal state events. • Layer 2 (The Watchdog): Monitoring ConnectionQuality.Lost + dtx: false byte flow. • Layer 3 (The Internet Check): A browser online/offline listener to prevent useless reconnection attempts when the hardware is disconnected. 2. The Implementation Here is a clean, centralized manager for your connection logic. This prevents conflicts by ensuring that only one recovery mechanism is active at a time. JavaScript import { Room, RoomEvent, ConnectionQuality, ConnectionState } from 'livekit-client'; const room = new Room({  publishDefaults: { dtx: false }, // Critical for "Ghost" detection  adaptiveStream: true, }); let ghostTimer = null; // --- LAYER 1: UI & LIVEKIT STATE SYNC --- room.on(RoomEvent.SignalConnected, () => updateUI("Connected", "Green")); room.on(RoomEvent.Reconnecting, () => {  clearTimeout(ghostTimer);  updateUI("Connection unstable... Reconnecting", "Yellow"); }); room.on(RoomEvent.Reconnected, () => {  updateUI("Connected", "Green"); }); room.on(RoomEvent.Disconnected, (reason) => {  updateUI(
Disconnected: ${reason}
, "Red");  // Logic to show a manual "Retry" button }); // --- LAYER 2: THE "GHOST" WATCHDOG (Priority: Safety Net) --- room.on(RoomEvent.ConnectionQualityChanged, (quality) => {  if (quality === ConnectionQuality.Lost && room.state === ConnectionState.Connected) {    // We are "Connected" but quality is "Lost" = Potential Ghost State.    // We wait 5 seconds before overriding LiveKit's internal timers.    if (!ghostTimer) {      ghostTimer = setTimeout(async () => {        if (room.state === ConnectionState.Connected && navigator.onLine) {          console.warn("Ghost State confirmed. Forcing manual recovery.");          await room.reconnect(); // Safe in v2.7        }        ghostTimer = null;      }, 5000);    }  } else if (quality !== ConnectionQuality.Lost) {    clearTimeout(ghostTimer);    ghostTimer = null;  } }); // --- LAYER 3: HARDWARE INTERNET CHECK (Priority: Physical) --- window.addEventListener('offline', () => {  updateUI("No Internet Connection", "Grey");  // We don't call room.reconnect here because it will fail anyway. }); window.addEventListener('online', () => {  if (room.state !== ConnectionState.Connected) {    updateUI("Internet restored, stabilizing...", "Yellow");    room.reconnect();  } }); function updateUI(message, color) {  console.log(
[UI Update] ${message}
);  // Your UI framework logic here (React/Vue/Plain JS) } 3. Priority Handling & Flow Logic To ensure a smooth UX, the app follows this decision tree: Scenario Primary Handler UI Message Action User unplugs Ethernet Browser offline event "No Internet" Stop all attempts (Save Battery). Wi-Fi to 5G Switch LiveKit Reconnecting "Unstable... reconnecting" LiveKit performs a "Resume" (<1s). Router dies (Ghost) Your Watchdog "Quality Lost" Wait 5s, then force room.reconnect(). Internet returns Browser online event "Restored..." Trigger room.reconnect() immediately. 4. Why this is "High Performance" • No Conflicts: The ghostTimer only starts if room.state is Connected. If LiveKit's own Reconnecting state kicks in, the timer is cleared immediately. This prevents two "reconnect" commands from hitting the server at once. • Fast Failover: By setting dtx: false, the ConnectionQuality will drop to Lost within 2-3 seconds of a break. Your app will catch the problem and have the user back in the call before the browser's default timeout even finishes. • Battery/CPU Efficient: The online/offline check prevents the CPU from spinning in circles trying to find a server when the Wi-Fi card is literally turned off. Summary for your UX When the user's connection fails, they will see "Unstable" within 3 seconds. If it stays broken for 5 seconds, the system forces a refresh. The moment their 5G/Wi-Fi signal returns, the browser online event fires, and they are back in the call instantly.
t
Thanks — this plan is solid and on the right track. A few concise notes and small tweaks tailored for LiveKit SDK 2.4.7 so it’s robust in production. What’s correct and good • Layered model (UI → Watchdog → Online/Offline) is the right approach. Let LiveKit manage normal reconnects and use your watchdog only when LiveKit appears stuck. • Keep DTX enabled in production by default. Disabling it increases bandwidth and is not required for reliable detection; prefer a heartbeat/datachannel if you need explicit activity. • Use connection-quality events + connection/ICE state monitoring to detect “ghosts” quickly. Practical tweaks for SDK 2.4.7 • Use ConnectionQualityChanged but also watch
connectionState
and
iceConnectionState
for clearer signals (some ghost cases show quality lost while the SDK still thinks it’s connected). • Don’t set publishDefaults.dtx: false globally. If you still want to test DTX=false, do it as an experiment for a small subset — otherwise use a heartbeat: ◦ DataChannel heartbeat every 10–15s is cheaper and preserves DTX benefits. • Ensure your watchdog only calls one recovery path: ◦ If LiveKit emits Reconnecting or SignalingState changes, cancel the ghostTimer. ◦ When forcing recovery, prefer
room.reconnect()
if available in your client build; if not, do a safe rejoin flow (leave + join or recreate PeerConnection). • Tune timers conservatively: ◦ Detect Lost → start ghostTimer (3–5s) to avoid false positives on short blips. ◦ Use longer backoff for repeated failures to avoid thundering reconnections. Small additions to your flow • Log with timestamps for: ConnectionQualityChanged, connectionState, iceConnectionState, room.reconnect attempts, online/offline events. This makes root-cause analysis much faster. • Add exponential backoff for automatic reconnect attempts and show a manual Retry after N automatic failures. • If you use TURN, keep it enforced in tests to validate behavior under restrictive networks. If you want, I can: • Provide a minimal, ready-to-run SDK 2.4.7 example implementing your three layers with a DataChannel heartbeat and safe reconnect logic. • Or review a short log snippet if you paste one, and point to which signal triggered the disconnect. Which do you prefer? , with interactive elements
n
I am also changing sdk version to 2.7
t
Thanks — this is a strong design. A few concise, targeted notes now that you’re moving to SDK 2.7 and want a production‑grade watchdog. High‑level verdict • The three‑layer model (UI → Watchdog → Browser online/offline) is appropriate. • Prefer keeping DTX enabled in production and use a heartbeat/datachannel or small comfort‑noise packets to maintain activity; disabling DTX will raise bandwidth and is not a reliable cure. • Rely on SDK reconnects by default; use your watchdog only when the SDK appears stuck (ghost state). Concrete tweaks for SDK 2.7 • Monitor three signals, not just ConnectionQuality: ◦ ConnectionQualityChanged (Lost/Poor) ◦ Room/ConnectionState (Connected / Reconnecting / Disconnected) ◦ iceConnectionState (failed / disconnected) Cancel ghostTimer if any reconnection state is already in progress. • Use a DataChannel heartbeat (10–15s) instead of global dtx:false to keep NAT mappings and carrier sessions alive with minimal bandwidth. • Timer tuning: ◦ Detect Lost → start ghostTimer (3–5s). ◦ On repeated failures, apply exponential backoff for forced reconnects and show a manual Retry after N attempts. • Recovery method: ◦ If
room.reconnect()
is available in your client build, prefer it. Otherwise implement a safe rejoin (leave + join or recreate PeerConnection). • Logging & observability: ◦ Log timestamps for ConnectionQualityChanged, connectionState, iceConnectionState, online/offline, reconnect attempts — this makes root‑cause analysis fast. • TURN: ◦ Force TURN in tests to reproduce NAT/carrier cases and ensure fallback works. Minimal recommended pattern (conceptual) • Keep DTX = default • Start DataChannel heartbeat • On ConnectionQuality Lost + room.state === Connected: ◦ start ghostTimer (3–5s) ◦ if still Lost and navigator.onLine → call reconnect path • Cancel ghostTimer if SDK reports Reconnecting or iceConnectionState changes • On offline → pause recovery attempts; on online → attempt reconnect (with backoff) If you want, I can: • Provide a ready-to-run SDK 2.7 JavaScript example implementing these layers (with DataChannel heartbeat, robust event handling, and backoff), or • Review a short log snippet you paste and point to which event indicates the ghost disconnect. Which would you like next? Sources: Understanding &#34;silence detected on local audio track&#34; warning | Bringing Zoom&#39;s end-to-end optimizations to WebRTC | LiveKit | client-sdk-js | livekit/livekit_composite | DeepWiki | Server options | LiveKit Documentation | Diagnosing Connection Errors with Connection Test Utility, with interactive elements
n
It’s frustrating when an "upgrade" feels like a downgrade in speed. The reason LiveKit 2.7 feels slower to reconnect compared to 2.4.7 is actually due to a deliberate change in how the SDK handles network stability and server load. In older versions, the SDK was "aggressive," but in 2.7, it is "careful." Here is exactly why the timing has changed: ### 1. The "Jitter" Delay (Deliberate Slowdown) In version 2.7, LiveKit added randomized jitter to the reconnection retry delays. • The Change: Previously, if 100 users lost connection at once, they all hammered the server at the exact same millisecond. • The Result: This often crashed the signaling server or caused "502 Gateway Timeout" errors. Now, the SDK adds a random wait (usually 500ms to 2s) before it even attempts to reconnect. It feels slower, but it prevents the "reconnect loop of death." ### 2. Signal RTT & Ping/Pong Timeouts Version 2.7 introduced stricter Signal-layer heartbeats (Ping/Pong). • In 2.4.7: The SDK often relied on the browser's raw WebSocket state. If the socket was "open" but dead, it could take 30 seconds to fail. • In 2.7: It sends its own pings. If pongs stop, it triggers a reconnect. However, the default timeout for these pings is often around 7–8 seconds. This means the SDK "waits" longer to be sure the connection is dead before it starts the recovery process, avoiding unnecessary reconnects for tiny 1-second lags. ### 3. "Full Reconnect" vs. "Resume" In 2.7, the SDK tries very hard to Resume a session (fast) before falling back to a Full Reconnect (slow). • If your network switch is "dirty" (e.g., swapping IPs), the Resume attempt might fail first, and only then does the SDK try the Full Reconnect. This two-step process can add 3–5 seconds to the total time compared to 2.4.7, which might have just "failed fast" and done a full reconnect immediately. ### 4. How to Speed it Up (The Fix) If the new safety features are too slow for your specific app, you can tune them in your `RoomOptions`:
Copy code
javascript
const room = new Room({
  // Lower the reconnection timeout if you want it to fail faster
  reconnectPolicy: {
    nextRetryDelay: (context) => {
      // Force a faster first retry (e.g., 200ms instead of random jitter)
      if (context.retryCount === 0) return 200;
      return 1000 * Math.pow(2, context.retryCount); 
    }
  },
  // Set a more aggressive connection timeout
  connectOptions: {
    timeout: 5000, // 5 seconds instead of the default 15
  }
});
### Summary of the "Slowdown" | Version | Approach | Why it feels faster/slower | | :--- | :--- | :--- | | 2.4.7 | Aggressive / Immediate | High risk of server-side crashes during mass disconnects. | | 2.7.x | Safe / Jittered | More reliable. Prevents "ghost" loops but adds a few seconds of "thinking" time. | Verdict: The extra time is the SDK being more "professional" and avoiding signaling collisions. If you want it faster, use the
reconnectPolicy
above to bypass the jitter on the first attempt.
t
Thanks — I hear your frustration about 2.7 feeling slower than 2.4.7. Your summary is correct: 2.7 is intentionally more conservative to improve stability under load. Concise recap and concrete options to speed it up. Why 2.7 feels slower • Jittered retries: randomized delay before reconnect attempts to avoid thundering‑herd reconnections. • Signal heartbeats: explicit ping/pong with ~7–8s timeouts to avoid false reconnects when sockets are flaky. • Resume then full reconnect: SDK tries a fast resume first and falls back to a full reconnect, adding a few seconds vs. older “fail fast” behavior. What you can change (practical, minimal) • Tune reconnect policy to reduce jitter on the first retry. • Lower connection timeout so the SDK gives up faster on dead connections. • Keep exponential backoff for subsequent retries to avoid load spikes. Example (SDK 2.7, JavaScript)
Copy code
const room = new Room({
  reconnectPolicy: {
    nextRetryDelay: (context) => {
      if (context.retryCount === 0) return 200; // fast first retry
      return 1000 * Math.pow(2, context.retryCount); // backoff after
    }
  },
  connectOptions: {
    timeout: 5000, // shorten connect timeout
  }
});
Additional recommendations • Monitor connectionState + iceConnectionState + ConnectionQuality together; cancel your watchdog if SDK reports Reconnecting. • Use a lightweight DataChannel heartbeat (10–15s) instead of disabling DTX globally. • Log timestamps for state transitions to measure end‑to‑end recovery time. • Test under realistic network churn and with TURN enforced. Would you like: • A full ready‑to‑run SDK 2.7 example that implements your three‑layer watchdog plus tuned reconnectPolicy and heartbeat, or • Help tuning specific timing values for your user base/network conditions? Which do you prefer? , with interactive elements
n
Give me production ready solution for implementinh in 2.7 sdk version such that app auto identifies and disconnection and soft reconnect itself as fast as possible without any delay It should be within a second or two No jitter delay retry is needed Make it fast and user friendly
t
I don't have the answer you're looking for. You could also try asking your question: • in one of the other Slack channels or • to https://deepwiki.com/livekit/livekit_composite which is trained on all LiveKit source code If you find the answer, please post it here to help others!
n
Why after upgrading sdk to version 2.7 the delay in reconnecting is now 5-6 minutes How to solve and make it to reconnect in seconds as fast as possible