The streaming splitter treated every "." as a sentence boundary, so the
operational reply "17.5°C" was read as "17." / "5°C" and "1.8 km/h" as
"1." / "8 km/h" - numbers spoken digit-by-digit plus extra TTS calls.
An ASCII terminator (. ! ?) now only ends a sentence when it is followed by
whitespace, a closing quote/bracket, or end of text. In-token dots (decimals
"17.5", versions "v2.0", hosts "example.com") are followed by a digit/letter,
so they no longer split. CJK fullwidth terminators stay unconditional since
those scripts use no trailing space. Language-agnostic, punctuation only.
- bridge: lookahead-gated boundary regex + finditer-based chunking
- tests: regression cases for decimals (17.5/1.8), versions, URLs, and an
integer that genuinely ends a sentence
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
The /converse turn synthesised the entire reply before any audio played, so
time-to-first-audio grew with reply length. Add a streaming /converse_stream
endpoint that emits the transcript/reply first, then one audio clip per
sentence as each finishes synthesising. The Discord voice layer enqueues each
clip on arrival via the existing FIFO playQueue, so the first sentence starts
speaking while the rest are still being synthesised.
STT and the reply engine still run to completion before the first clip; only
TTS is pipelined. The non-streaming /converse and /text endpoints are
unchanged.
- bridge: language-agnostic sentence splitter (bridge/text_utils.py) + NDJSON
streaming route
- bot: ndjson() reader + converseStream() client; voice.ts plays clips
progressively
- tests: splitter unit tests + bot ndjson/converseStream tests
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
The bot, bridge and melo worker boot together, but the MeloTTS model takes
tens of seconds to load. If the bot logged in and auto-joined the voice channel
before the voice was warm, the first reply synthesised to nothing and was
silently dropped.
- bridge /health now reports `tts_ready`. For MeloTTS this pings the worker,
which only binds its HTTP port AFTER the model is loaded (main() warms before
serve_forever()), so a successful ping is a precise "voice is warm" signal.
- The bot polls /health and waits for `tts_ready` before logging in. It does
not wait on brain_ready (the reply engine / Whisper load lazily on the first
turn — a slow first turn is fine, a silent one is the bug). After a 180s cap
it proceeds anyway so a TTS load failure degrades to text-only.
Live-verified: startup logs show "⏳ MeloTTS 준비 대기 중" then
"✓ 음성(MeloTTS) 준비 완료 — 로그인 진행" then "✓ 유저봇 로그인", in that order.
Adds a dedicated MeloTTS Korean voice (speed 1.5) as the primary TTS engine,
served by a long-lived in-container worker so each Discord turn pays only
inference cost, not model-load cost.
- bridge/melo_worker.py: tiny HTTP service in its own /opt/melo py3.11 venv,
keeps the KR model warm, returns PCM16 WAV on POST /synth.
- bridge/server.py: synthesize() routes to the melo worker first; Piper stays
as an opt-in fallback (MELO_FALLBACK_PIPER, default off so Korean is never
mangled through the English voice). /health reports tts_engine.
- docker/setup-melo.sh: builds the isolated venv (pinned torch 2.12.0 /
torchaudio 2.11.0 CPU, MeloTTS pinned to a commit for reproducible rebuilds),
pre-fetches mecab-ko, and warms a dedicated HF cache (/opt/melo-cache) with a
real KR synth so all BERT + KR checkpoint assets are baked into the image.
- docker/supervisord.conf: runs melo-worker before the bridge with
HF_HOME=/opt/melo-cache (the whisper_cache volume shadows the default HF
cache) plus HF_HUB_OFFLINE/TRANSFORMERS_OFFLINE so it reads the baked cache
and never retries the network on load.
- Dockerfile/.env.example: wire the melo build layer and config knobs.
Verified: offline synth passes with --network none and the prod volume mounted;
prod container recreated, all supervisord services up, bot logged in, and an
end-to-end /tts call returns a 44.1kHz mono PCM16 WAV.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Completes the STREAM_BROWSER=true behaviour:
- handleJoin auto-starts the broadcast on voice join and wires the session to
the guild streamer; each turn reports the live state to the brain so search
routes Chrome (live) vs Gemini (off).
- New setBroadcast tool lets the user toggle the broadcast by voice ("방송
켜줘/꺼줘") via the LLM (no hardcoded phrases); it refuses when
STREAM_BROWSER=false. The directive flows brain -> bridge (broadcast_action)
-> bot streamer.start/stop, guarded by isActive() so it's idempotent.
- Per-turn IPC uses a thread-local (reply/turn_state.py) instead of threading
params through the whole engine chain: bridge sets broadcasting in, tool
records the directive out; Tool.execute exposes broadcasting on ToolContext.
Bot typecheck clean; brain covered by tests/test_set_broadcast.py (+ existing
routing tests). Specs + docs updated.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
- voice.ts: reply playback is now a FIFO queue (AudioPlayerStatus.Idle drains
it) so concurrent speakers no longer cut each other's replies off.
- selfbot.ts: rewritten against the REAL @dank074/discord-video-stream v6 API
(verified from its d.ts): prepareStream(input, opts, signal)->{command,output},
playStream(output, streamer, {type:"go-live"}, signal), Streamer.joinVoice.
x11grab via customInputOptions; optional NVENC encode (RTX 5050) via exported
`nvenc`. package.json pinned to ^6.0.0 (was a wrong ^4.2.1).
- Dockerfile: dropped the hardcoded python3.12 LD_LIBRARY_PATH. faster-whisper
>=1.1 self-locates the pip CUDA libs; ldconfig (full path, glob) registers
them as a robust fallback. Verified: ld.so cache lists libcublas/libcudnn and
GPU whisper works with LD_LIBRARY_PATH empty.
- bridge: STT resample 48k->16k upgraded from nearest-neighbor to linear
(np.interp).
Verified: tsc clean, image builds, GPU whisper OK via ldconfig, compose valid.
Code review of the bridge/bot/docker work found:
- TTS bug: bridge called PiperVoice.synthesize(text, wav) but that method
returns AudioChunks and takes a SynthesisConfig as its 2nd arg, not a wav
file -> TTS would fail. Switched to synthesize_wav(text, wav_file).
Verified: produces a valid 22050Hz mono WAV.
- run-bot.sh now waits if ANY of DISCORD_BOT_TOKEN/APP_ID/GUILD_ID is missing
(config.ts throws on a missing one), preventing a supervisor crash-loop.
Verified clean: discord.js Events.ClientReady == 'clientReady' (existing
handler correct); image rebuilds.
GPU acceleration is now on by default and verified end-to-end on the
Blackwell RTX 5050 (sm_120):
- Ollama offloads 100% to GPU (log: library=CUDA compute=12.0,
BLACKWELL_NATIVE_FP4=1). compose passes GPU via CDI
(devices: nvidia.com/gpu=all) to both ollama and javis.
- Whisper STT on GPU: faster-whisper>=1.1.0 + nvidia-cublas/cudnn cu12,
LD_LIBRARY_PATH baked into the image. Verified float16 transcribe on
sm_120; bridge auto-falls back to CPU when no GPU is present.
- Model: default chat model -> qwen3:8b (best 8GB-VRAM tool-calling,
~5GB Q4). Embed stays nomic-embed-text.
- README documents the host one-time setup (nvidia-container-toolkit +
`nvidia-ctk cdi generate`) and GPU on/off.
Verified: image builds; GPU visible in both containers via compose;
ollama ps = 100% GPU; faster-whisper cuda OK + CPU fallback OK;
bridge /health 200.
`docker compose up -d --build` now brings up the whole thing automatically —
no host setup needed:
- All-in-one javis image: TigerVNC+XFCE desktop, Chrome, Python brain bridge,
Node/bun bot, managed by supervisord (verified: all 6 programs RUNNING).
- ollama service + one-shot ollama-init that auto-pulls chat+embed models
(verified end-to-end; `ollama list` shows pulled models).
- Discord token deferred: without DISCORD_BOT_TOKEN the desktop, bridge,
Ollama and models all run; only the bot waits (no crash loop).
- Slim container deps (bridge/requirements-bridge.txt) drop the unused
PyQt6/torch/chatterbox/sounddevice stack. Piper voice + Whisper models
auto-download into named volumes.
- Configurable host ports (VNC_PORT/NOVNC_PORT/BRIDGE_PORT) to avoid clashing
with a host VNC already on 5901. Bridge binds 0.0.0.0 in-container.
Verified: image builds; brain imports; bridge /health 200; noVNC 200;
X display :1 @1920x1080; auto-pull completes; supervisorctl status all RUNNING.
