feat(stt-log): log the WHOLE turn pipeline to the transcript channel

The transcript channel only showed successful transcripts, so dropped utterances
(the 47/50 misses) were invisible. Now every captured utterance is mirrored with
its outcome and per-stage timing:
- too-short blip (<300ms), VAD "음성 아님(VAD 차단)", "인식 실패", "답변 없음", or "ok"
- transcript + reply (or "(무응답)")
- ⏱️ stt/llm seconds

The bridge meta now carries note + stt_sec + think_sec; voice.ts fires onTurn for
every turn (not only non-empty transcripts) and for the too-short drop; userbot
formats the diagnostic line.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
This commit is contained in:
javis-bot
2026-06-13 22:13:39 +09:00
parent 62bb0ab87e
commit e8234b7fb1
4 changed files with 69 additions and 21 deletions

View File

@@ -45,6 +45,11 @@ export interface ConverseMeta {
reply: string;
error?: string | null;
broadcast_action?: BroadcastAction | null;
/** Why this turn produced (or didn't produce) a transcript/reply. */
note?: string;
/** Per-stage timing (seconds) for diagnosing latency. */
stt_sec?: number;
think_sec?: number;
}
export interface ConverseStreamHandlers {

View File

@@ -34,16 +34,33 @@ async function loadSelfbot(): Promise<any> {
}
}
/** Mirror a heard voice turn (transcript + reply) into a text channel. */
async function postTranscript(client: AnyClient, transcript: string, reply: string): Promise<void> {
interface TurnInfo {
transcript: string;
reply: string;
note?: string;
sttSec?: number;
thinkSec?: number;
}
/** Mirror EVERY heard utterance (and why it did/didn't answer) to a text
* channel, so misses and latency are diagnosable without hearing the bot. */
async function postTranscript(client: AnyClient, info: TurnInfo): Promise<void> {
const chId = config.transcriptChannelId;
if (!chId) return;
const timing =
info.sttSec != null || info.thinkSec != null
? ` ⏱️ stt ${info.sttSec ?? "?"}s · llm ${info.thinkSec ?? "?"}s`
: "";
let msg: string;
if (info.transcript) {
const r = (info.reply || "").trim();
msg = `🎤 들음 → 🗣️ "${info.transcript}"\n🤖 답변: ${r || "(무응답)"}${timing}`;
} else {
msg = `🎤 들음 → ❌ ${info.note || "무시됨"}${timing}`;
}
try {
const ch: any = await client.channels.fetch(chId).catch(() => null);
if (ch?.send) {
const r = (reply || "").trim();
await ch.send(`🗣️ 들은 말: ${transcript}\n🤖 답변: ${r || "(무응답)"}`);
}
if (ch?.send) await ch.send(msg);
} catch (e) {
console.error("[userbot] transcript post failed:", e);
}
@@ -58,11 +75,11 @@ async function joinAndListen(client: AnyClient, channelId: string): Promise<void
// The selfbot VoiceChannel is runtime-compatible with @discordjs/voice's
// joinVoiceChannel (it exposes id, guild.id and guild.voiceAdapterCreator).
const session = await joinChannel(channel as unknown as VoiceBasedChannel);
session.onTurn = ({ transcript, reply }) => {
console.log(`🗣️ ${transcript}\n🤖 ${reply}`);
// Mirror every heard utterance (and the reply, if any) to a text channel so
// you can see what the bot understood even when it doesn't answer aloud.
void postTranscript(client, transcript, reply);
session.onTurn = (info) => {
console.log(`🗣️ ${info.transcript || "(" + (info.note || "empty") + ")"}\n🤖 ${info.reply}`);
// Mirror every heard utterance (and the reply / drop reason) to a text
// channel so you can see what the bot understood even when it doesn't answer.
void postTranscript(client, info);
};
// Screen-share mode (STREAM_BROWSER=true): auto-start the broadcast on join,
// report its live state to the brain each turn, and let the brain toggle it by

View File

@@ -69,8 +69,17 @@ export class VoiceSession {
/** Pending reply clips. Played one at a time so concurrent speakers don't
* cut each other's replies off. */
private playQueue: Buffer[] = [];
/** Optional callback to surface transcripts/replies to a text channel. */
onTurn?: (info: { user: string; transcript: string; reply: string }) => void;
/** Optional callback to surface EVERY heard utterance (and its outcome) to a
* text channel — including ones dropped before/at STT — so misses are
* diagnosable. `note` says why (e.g. "음성 아님(VAD 차단)", "너무 짧음", "ok"). */
onTurn?: (info: {
user: string;
transcript: string;
reply: string;
note?: string;
sttSec?: number;
thinkSec?: number;
}) => void;
/** Live screen-share state, sent with each turn so the brain routes search
* (Chrome while broadcasting, Gemini when off). */
getBroadcasting?: () => boolean;
@@ -123,8 +132,12 @@ export class VoiceSession {
if (!chunks.length) return;
const mono = stereoToMono(Buffer.concat(chunks));
// Ignore blips shorter than ~300ms (likely noise / key clicks).
if (mono.length < DISCORD_RATE * 0.3 * 2) return;
// Ignore blips shorter than ~300ms (likely noise / key clicks) — but still
// report them so the transcript channel shows every captured utterance.
if (mono.length < DISCORD_RATE * 0.3 * 2) {
this.onTurn?.({ user: userId, transcript: "", reply: "", note: "너무 짧음(<300ms)" });
return;
}
const wav = pcm16MonoToWav(mono, DISCORD_RATE);
try {
@@ -133,9 +146,16 @@ export class VoiceSession {
// so the first sentence starts playing while the rest are still spoken.
await converseStream(wav, this.getBroadcasting?.(), {
onMeta: async (meta) => {
if (meta.transcript) {
this.onTurn?.({ user: userId, transcript: meta.transcript, reply: meta.reply });
}
// Report EVERY turn (even empty/VAD-dropped) so the transcript channel
// explains why a turn did or didn't answer.
this.onTurn?.({
user: userId,
transcript: meta.transcript,
reply: meta.reply,
note: meta.note,
sttSec: meta.stt_sec,
thinkSec: meta.think_sec,
});
// Apply any broadcast directive the brain requested (e.g. user said
// "방송 켜줘 / 꺼줘") before the reply audio plays. The meta line
// always precedes the audio clips, so awaiting here preserves order.

View File

@@ -211,7 +211,7 @@ def transcribe(wav_bytes: bytes) -> dict:
log=lambda m: print(f"[bridge] {m}", flush=True),
):
print("[bridge] no speech detected (VAD) — skipping STT", flush=True)
return {"text": "", "language": None}
return {"text": "", "language": None, "note": "음성 아님(VAD 차단)"}
segments, info = _whisper.transcribe(audio, beam_size=1, language=STT_LANGUAGE)
# Second line of defence: drop non-speech / hallucinated segments by
@@ -231,7 +231,8 @@ def transcribe(wav_bytes: bytes) -> dict:
log=lambda m: print(f"[bridge] {m}", flush=True),
)
text = "".join(seg.text for seg in kept).strip()
return {"text": text, "language": getattr(info, "language", None)}
note = "ok" if text else "인식 실패(빈 결과/필터)"
return {"text": text, "language": getattr(info, "language", None), "note": note}
def think(text: str, language: Optional[str] = None, broadcasting: Optional[bool] = None) -> dict:
@@ -458,7 +459,9 @@ def http_converse_stream():
transcript = stt.get("text", "")
if not transcript:
yield json.dumps({"type": "meta", "transcript": "", "language": stt.get("language"),
"reply": "", "error": stt.get("error"), "broadcast_action": None}) + "\n"
"reply": "", "error": stt.get("error"),
"note": stt.get("note", "빈 결과"),
"stt_sec": round(t_stt - t0, 1), "broadcast_action": None}) + "\n"
yield json.dumps({"type": "end"}) + "\n"
return
result = think(transcript, stt.get("language"), broadcasting)
@@ -470,6 +473,9 @@ def http_converse_stream():
"language": stt.get("language"),
"reply": reply,
"error": result.get("error"),
"note": "ok" if reply.strip() else "답변 없음",
"stt_sec": round(t_stt - t0, 1),
"think_sec": round(t_think - t_stt, 1),
"broadcast_action": result.get("broadcast_action"),
}) + "\n"
tts_total = 0.0