Files
javis_bot/bot/src/bridge.ts
javis-bot de5384d166 feat: show per-stage timing (듣기/LLM/TTS) in the transcript channel
The transcript channel only showed STT and LLM seconds. Add wall-clock
start/end times and durations for listening, LLM and TTS so it's obvious
what takes long; STT surfaces as the gap between listening end and LLM start.

- bridge: emit llm_start_ms/llm_end_ms on meta and tts_*_ms on the end event
- bot: capture the listening window, assemble full timing after the stream,
  and render a per-stage breakdown in the transcript message

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-13 23:58:49 +09:00

146 lines
5.1 KiB
TypeScript

/**
* HTTP client for the Python brain bridge (bridge/server.py).
* All AI work (STT, reply engine, TTS) lives behind these calls.
*/
import { config } from "./config.ts";
export type BroadcastAction = "start" | "stop";
export interface ConverseResult {
transcript: string;
language?: string | null;
reply: string;
error?: string | null;
/** Broadcast directive the brain requested this turn (setBroadcast tool). */
broadcast_action?: BroadcastAction | null;
/** base64-encoded 16-bit PCM WAV of the spoken reply, or null if TTS off */
audio_b64?: string | null;
}
export interface TextResult {
reply: string;
error?: string | null;
broadcast_action?: BroadcastAction | null;
audio_b64?: string | null;
}
/** Full voice turn: WAV in -> {transcript, reply, reply audio}. ``broadcasting``
* is the current live screen-share state so the brain routes search (Chrome
* while live, Gemini when off). */
export async function converse(wav: Buffer, broadcasting?: boolean): Promise<ConverseResult> {
const qs = broadcasting === undefined ? "" : `?broadcasting=${broadcasting ? "1" : "0"}`;
const res = await fetch(`${config.bridgeUrl}/converse${qs}`, {
method: "POST",
headers: { "content-type": "audio/wav" },
body: wav,
});
if (!res.ok) throw new Error(`bridge /converse ${res.status}: ${await res.text()}`);
return (await res.json()) as ConverseResult;
}
/** Metadata for a streamed turn: everything except the audio clips. */
export interface ConverseMeta {
transcript: string;
language?: string | null;
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;
/** Wall-clock LLM window (epoch ms) so the transcript channel can show when
* the reply engine started/finished. */
llm_start_ms?: number;
llm_end_ms?: number;
}
/** Final event of a streamed turn, carrying TTS timing (synthesis runs after
* the meta line, so it can't be reported there). */
export interface ConverseEnd {
tts_sec?: number;
/** Wall-clock TTS window (epoch ms). */
tts_start_ms?: number;
tts_end_ms?: number;
}
export interface ConverseStreamHandlers {
/** Fired once, before any audio, with the transcript/reply/broadcast directive. */
onMeta?: (meta: ConverseMeta) => void | Promise<void>;
/** Fired per sentence as its audio finishes synthesising (in order). */
onAudio?: (wav: Buffer) => void | Promise<void>;
/** Fired once after the last clip, with TTS timing. */
onEnd?: (end: ConverseEnd) => void | Promise<void>;
}
/** Parse a byte stream of newline-delimited JSON into objects, one per line. */
export async function* ndjson(
stream: AsyncIterable<Uint8Array>,
): AsyncGenerator<any> {
const decoder = new TextDecoder();
let buf = "";
for await (const chunk of stream) {
buf += decoder.decode(chunk, { stream: true });
let nl: number;
while ((nl = buf.indexOf("\n")) >= 0) {
const line = buf.slice(0, nl).trim();
buf = buf.slice(nl + 1);
if (line) yield JSON.parse(line);
}
}
const last = buf.trim();
if (last) yield JSON.parse(last);
}
/** Streaming voice turn: the bridge emits the transcript/reply first, then one
* audio clip per sentence as it is synthesised. Handlers run in arrival order,
* so playing each clip on arrival starts the first sentence while the rest are
* still being spoken. Mirrors {@link converse} but pipelines TTS. */
export async function converseStream(
wav: Buffer,
broadcasting: boolean | undefined,
handlers: ConverseStreamHandlers,
): Promise<void> {
const qs = broadcasting === undefined ? "" : `?broadcasting=${broadcasting ? "1" : "0"}`;
const res = await fetch(`${config.bridgeUrl}/converse_stream${qs}`, {
method: "POST",
headers: { "content-type": "audio/wav" },
body: wav,
});
if (!res.ok || !res.body) {
throw new Error(`bridge /converse_stream ${res.status}: ${await res.text().catch(() => "")}`);
}
for await (const ev of ndjson(res.body as AsyncIterable<Uint8Array>)) {
if (ev.type === "meta") {
await handlers.onMeta?.(ev as ConverseMeta);
} else if (ev.type === "audio" && ev.audio_b64) {
const clip = decodeWav(ev.audio_b64);
if (clip) await handlers.onAudio?.(clip);
} else if (ev.type === "end") {
await handlers.onEnd?.(ev as ConverseEnd);
}
}
}
/** Text-only turn (used by /자비스 ask). */
export async function ask(text: string): Promise<TextResult> {
const res = await fetch(`${config.bridgeUrl}/text`, {
method: "POST",
headers: { "content-type": "application/json" },
body: JSON.stringify({ text }),
});
if (!res.ok) throw new Error(`bridge /text ${res.status}: ${await res.text()}`);
return (await res.json()) as TextResult;
}
export async function health(): Promise<any> {
const res = await fetch(`${config.bridgeUrl}/health`);
return res.json();
}
export function decodeWav(audio_b64?: string | null): Buffer | null {
if (!audio_b64) return null;
return Buffer.from(audio_b64, "base64");
}