i am getting trancript on sdk after llm generation even though its just and interruption

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so tranxcription from bnot and user must be on speaking biut i am getting bot trancript before itself , but human it streams

Thanks — I’m responding to your note that the bot’s transcript appears before the bot actually speaks, while the human transcription streams in real time. I can help narrow this down, but I need a few details: 1. Which SDK and language/version are you using (e.g., Web JS SDK vX, Android, iOS)? 2. Are you using LiveKit Agents with built-in TTS and the

transcription_node

, or a custom pipeline? 3. Share example event payloads or logs you see when the bot transcript appears early (the

speech_created

,

speech_started

,

speech_stopped

, or transcription events and any

SpeechHandle

fields). 4. Do you see a separate event for TTS start/stop, or only the transcript event? 5. Is the bot transcript marked as partial or final when it arrives? With those I’ll provide exact code snippets and where to filter (client-side listener or in

transcription_node

) to ensure bot transcripts are only forwarded once speech actually starts or to suppress partial transcripts from interrupted/canceled TTS.

useEffect(() => { if (orchestrationType && !transcriptManagerRef.current) { transcriptManagerRef.current = new TranscriptManager( orchestrationType, { onFinalMessage: (message) => { setTranscripts(prev => { const lastMessage = prev.length > 0 ? prev[prev.length - 1] : null; // Check for exact duplicate if (lastMessage && lastMessage.text.trim() === message.text.trim() && lastMessage.speaker === message.speaker && lastMessage.isAI === message.isAI) { return prev; // Skip duplicate } // If last message was human AND new message is human, concatenate if (!message.isAI && lastMessage && !lastMessage.isAI) { const updatedTranscripts = [...prev]; const lastIndex = updatedTranscripts.length - 1; const lastText = updatedTranscripts[lastIndex].text.trim(); const newText = message.text.trim(); // Simple concatenation - just append with space updatedTranscripts[lastIndex] = { ...updatedTranscripts[lastIndex], text:

${lastText} ${newText}

, }; return updatedTranscripts; } // Create new message block (AI message or first human message after AI) const newTranscripts = [...prev, message]; // Auto-show transcript when first message arrives if (!transcriptShownRef.current && prev.length === 0 && !isMobile()) { transcriptShownRef.current = true; setShowTranscript(true); } return newTranscripts; }); }, onInterimUpdate: (text, speaker) => { setCurrentTranscript(text); setCurrentSpeaker(text ? speaker : null); }, onSpeakerChange: (speaker) => { setCurrentSpeaker(speaker); }, } ); } return () => { // Cleanup on unmount or orchestration type change if (transcriptManagerRef.current) { transcriptManagerRef.current.cleanup(); transcriptManagerRef.current = null; } }; }, [orchestrationType]);

Thanks — I reviewed the React snippet you shared. You’re handling final and interim messages and deduplicating/concatenating nicely. To stop the bot’s transcript appearing before it actually speaks, try one of these focused changes (pick the one that fits your pipeline): 1) Prefer speech start/handle state before showing AI final transcript • If your events include

speech_started

or a

SpeechHandle

state (started vs created), only push the AI final transcript when you see speech start. In your

onFinalMessage

guard, require a flag like

message.speechStarted === true

(or check the

SpeechHandle

for

started

) before adding an AI message. 2) Suppress transcripts from created-but-cancelled TTS • If you get transcripts from text that was sent to TTS but later interrupted, ignore messages where

message.speechCancelled === true

or where

SpeechHandle

indicates aborted. Add an early-return in `onFinalMessage`:

if (message.isAI && (message.speechCancelled || !message.speechStarted)) return;

3) Delay display until speech actually begins (UI-friendly) • If events for start/stop exist, buffer the AI transcript and only commit when

speech_started

arrives. Example approach: ◦ onFinalMessage: if isAI, store in

pendingAI

. ◦ onSpeechStarted: if

pendingAI

exists for that speaker, commit it and clear

pendingAI

. ◦ onSpeechStopped/cancel: clear

pendingAI

. 4) Use interim streaming for humans, final-only for bots • Your

onInterimUpdate

is already updating live text for humans. For bots, ignore interim transcripts entirely and only display final text after speech start. Quick code hint to integrate into your existing handler:

// inside onFinalMessage
if (message.isAI) {
  // require explicit speechStarted flag, and skip duplicates as you already do
  if (!message.speechStarted) {
    // optionally store pending message keyed by speaker id
    pendingAIRef.current[message.speaker] = message;
    return;
  }
  // commit as before
}

Next step: can you share one example event payload for the bot that arrives early (fields on

message

, plus any

SpeechHandle

fields) and tell me which SDK/version you’re using? I’ll give the exact snippet to plug into your TranscriptManager.

SDK version 2 above

Thanks — responding to your note that you’re on SDK v2+ and need bot transcripts suppressed until speech actually starts. Two quick clarifying questions so I can give exact code to plug into your TranscriptManager: 1. Which bot events do you receive in your client for TTS lifecycle? Do you see any of these:

speech_created

,

speech_started

,

speech_stopped

(or fields on the message like

speechStarted

,

speechCancelled

, or a

SpeechHandle

)? 2. Please paste one example payload for the premature bot transcript event you’re getting (the full

message

object you receive). If you confirm you receive

speech_started

, I’ll give a minimal SDK v2+ patch to: • buffer AI final messages until

speech_started

for that speaker, then commit; and • drop buffered AI messages if `speech_stopped`/cancel arrives before start.

how can i know

You're on the right track — since

speech_started

does arrive, here's a concise plan and exact things to do so you can suppress the bot transcript until the TTS actually starts. 1) Quickly log incoming events to confirm fields • Add a debug logger where you receive transcript/agent events:

console.log('agent-event', { eventType: event.type, payload: event });

• Look for

speech_created

,

speech_started

,

speech_stopped

or fields like

speechStarted

,

speechCancelled

, or a

SpeechHandle

id. 2) Minimal approach: buffer AI final messages until

speech_started

• Maintain a pending map keyed by

speaker

or `speechHandleId`:

const pendingAI = new Map();

• Update your TranscriptManager handlers: onFinalMessage:

if (message.isAI) {
  // If speech not started yet, buffer
  if (!message.speechStarted) {
    pendingAI.set(message.speechHandleId || message.speaker, message);
    return;
  }
  // commit immediately if speechStarted
  commitMessage(message);
  return;
}
commitMessage(message); // human messages as before

onSpeechStarted (handler triggered when speech_started event arrives):

const key = event.speechHandleId || event.speaker;
const pending = pendingAI.get(key);
if (pending) {
  commitMessage(pending);
  pendingAI.delete(key);
}

onSpeechStopped / onSpeechCancelled:

const key = event.speechHandleId || event.speaker;
if (pendingAI.has(key)) pendingAI.delete(key); // drop buffered AI if cancelled

3) commitMessage helper (reuse your existing dedupe/concat logic) • Use the same logic you already have in

onFinalMessage

to add the message to state (dedupe, concat with last human, etc.). That keeps behavior consistent. 4) If your events only contain a generic

event.type === 'speech_started'

without IDs • Use

speaker

as the key (assuming one concurrent TTS per speaker). • If multiple concurrent TTS from same speaker are possible, prefer

speechHandleId

(or whatever unique id the event includes). If you want, paste one logged event object from your console (the

speech_created

or

speech_started

payload) and I’ll return the precise 6–10 line patch you can drop into your TranscriptManager.