duffyduckandClaude Opus 4.8
174d6d643d
Neuer xtts/voxtral-Container (RVS<->vLLM-Realtime-WS, adaptiver Endpointer), hinter Compose-Profil 'voxtral' (braucht >=16GB VRAM, startet nicht im Default). Bestehende Satelliten auf die zwei 3060 gepinnt: whisper->GPU0, f5tts->GPU1, llama-swap->GPU0. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
495 lines
20 KiB
Python
495 lines
20 KiB
Python
#!/usr/bin/env python3
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"""
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ARIA Voxtral Bridge — Streaming-STT via Voxtral-Mini-4B-Realtime-2602 (vLLM).
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Zwilling der whisper-Bridge, aber das Transkribieren macht NICHT faster-whisper
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im selben Prozess, sondern der separate vLLM-Realtime-Server (Container
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`voxtral-vllm`) ueber dessen WebSocket-API `/v1/realtime`. Diese Bridge ist
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reine Glue:
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App ──(RVS: stt_stream_start / stt_audio_chunk / stt_stream_end)──▶ diese Bridge
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diese Bridge ──(WS /v1/realtime: PCM16-b64 append)──▶ voxtral-vllm
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voxtral-vllm ──(transcription.delta / transcription.done)──▶ diese Bridge
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diese Bridge ──(RVS: stt_partial / stt_endpoint / stt_stream_done)──▶ App/aria-bridge
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Das RVS-Wire-Protokoll ist IDENTISCH zur whisper-Bridge (drop-in). Das
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Endpointing (wann hat der User aufgehoert zu sprechen) macht diese Bridge
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selbst — mit demselben ADAPTIVEN Rausch-Boden-Endpointer wie whisper (Voxtral
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Realtime liefert laut vLLM-Doku keine eigene VAD/„speaker done"-Semantik, nur
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transcription.delta/.done). Die akustische Energie messen wir auf unserer
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eigenen PCM-Kopie, die semantische Stagnation am Delta-Textwachstum.
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⚠️ HARDWARE: Voxtral-Mini-4B-Realtime-2602 braucht >=16 GB VRAM (BF16). Auf der
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RTX 3060 (12 GB) laeuft es NICHT — erst auf der 24-GB-Karte. Bis dahin
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bleibt die whisper-Bridge aktiv (Profil-gesteuert im docker-compose).
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⚠️ VERIFY-ON-FIRST-RUN: Die exakten vLLM-Realtime-FRAME-Namen (Audio-Append,
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Delta/Done-Event-Typen) sind unten als Konstanten gebuendelt und nach dem
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OpenAI-Realtime-Schema modelliert. Gegen das offizielle vLLM-Realtime-
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Client-Beispiel pruefen und ggf. anpassen — sie stehen bewusst an EINER
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Stelle. Response-Handling ist defensiv (mehrere moegliche Feldnamen).
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Env:
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RVS_HOST, RVS_PORT, RVS_TLS, RVS_TLS_FALLBACK, RVS_TOKEN
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VOXTRAL_VLLM_URL Default: ws://voxtral-vllm:8000/v1/realtime
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VOXTRAL_MODEL Default: mistralai/Voxtral-Mini-4B-Realtime-2602
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VOXTRAL_LANGUAGE Default: de
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"""
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import asyncio
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import base64
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import json
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import logging
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import os
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import time
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from dataclasses import dataclass, field
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from typing import Optional
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import numpy as np
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import websockets
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logging.basicConfig(
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level=logging.INFO,
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format="%(asctime)s [%(levelname)s] %(message)s",
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datefmt="%H:%M:%S",
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)
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logger = logging.getLogger("voxtral-bridge")
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RVS_HOST = os.getenv("RVS_HOST", "").strip()
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RVS_PORT = int(os.getenv("RVS_PORT", "443"))
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RVS_TLS = os.getenv("RVS_TLS", "true").lower() == "true"
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RVS_TLS_FALLBACK = os.getenv("RVS_TLS_FALLBACK", "true").lower() == "true"
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RVS_TOKEN = os.getenv("RVS_TOKEN", "").strip()
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VOXTRAL_VLLM_URL = os.getenv("VOXTRAL_VLLM_URL", "ws://voxtral-vllm:8000/v1/realtime")
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VOXTRAL_MODEL = os.getenv("VOXTRAL_MODEL", "mistralai/Voxtral-Mini-4B-Realtime-2602")
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VOXTRAL_LANGUAGE = os.getenv("VOXTRAL_LANGUAGE", "de")
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# ── vLLM-Realtime-Frames — HIER anpassen falls das Client-Beispiel abweicht ──
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# Senderichtung (wir → vLLM): PCM16-16kHz-mono base64 anhaengen + committen.
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VLLM_SEND_APPEND = "input_audio_buffer.append" # {"type":..., "audio": "<b64>"}
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VLLM_SEND_COMMIT = "input_audio_buffer.commit" # Buffer abschliessen
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VLLM_AUDIO_FIELD = "audio"
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# Empfangsrichtung (vLLM → wir): inkrementeller Text + final. Defensiv geprueft.
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VLLM_DELTA_SUFFIXES = ("transcription.delta",) # msg["type"] endet hierauf
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VLLM_DONE_SUFFIXES = ("transcription.done", "transcription.completed")
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VLLM_DELTA_FIELDS = ("delta", "text", "transcription") # eins davon traegt den Text
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# ── Streaming-/Endpointing-Parameter (analog whisper-Bridge) ──
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STREAM_DEFAULT_ENDPOINT_MS = 2400
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STREAM_DEFAULT_HARD_CAP_MS = 60000
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STREAM_MIN_AUDIO_MS = 600
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STREAM_SESSION_TTL_S = 120
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STREAM_ENERGY_WINDOW_MS = 300
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STREAM_SEMANTIC_BACKUP_FACTOR = 2.0
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# Adaptiver Voice-Schwellwert (siehe whisper-Bridge M0.1): Grenze relativ zum
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# gemessenen Rausch-Boden statt fix — schneidet leises Sprechen nicht ab.
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STREAM_VOICE_FACTOR = 2.5
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STREAM_VOICE_RMS_MIN = 0.005
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STREAM_VOICE_RMS_MAX = 0.020
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def pcm_s16le_to_float32(data: bytes) -> np.ndarray:
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if not data:
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return np.zeros(0, dtype=np.float32)
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arr = np.frombuffer(data, dtype=np.int16).astype(np.float32) / 32768.0
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return arr
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async def _send(ws, mtype: str, payload: dict) -> None:
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try:
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await ws.send(json.dumps({
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"type": mtype,
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"payload": payload,
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"timestamp": int(time.time() * 1000),
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}))
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except Exception as e:
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logger.warning("RVS-Send fehlgeschlagen (%s): %s", mtype, e)
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@dataclass
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class StreamSession:
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request_id: str
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audio_request_id: str
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language: str
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endpoint_ms: int
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hard_cap_ms: int
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voice: str = ""
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speed: float = 1.0
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interrupted: bool = False
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location: Optional[dict] = None
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sample_rate: int = 16000
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voice_factor: float = STREAM_VOICE_FACTOR
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voice_rms_min: float = STREAM_VOICE_RMS_MIN
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voice_rms_max: float = STREAM_VOICE_RMS_MAX
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pcm_buffer: bytearray = field(default_factory=bytearray)
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started_at: float = field(default_factory=time.time)
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last_chunk_at: float = field(default_factory=time.time)
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last_partial: str = ""
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last_growth_at: float = 0.0
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last_voice_at: float = 0.0
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noise_floor: float = 0.0
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closed: bool = False
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endpoint_sent: bool = False
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# vLLM-Realtime-Session
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vllm_ws: object = None
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vllm_reader: object = None
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class SessionManager:
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def __init__(self) -> None:
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self._sessions: dict[str, StreamSession] = {}
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self._ws = None # RVS
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def attach_ws(self, ws) -> None:
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self._ws = ws
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async def start_session(self, payload: dict) -> Optional[StreamSession]:
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request_id = (payload.get("requestId") or "").strip()
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if not request_id:
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logger.warning("stt_stream_start ohne requestId — ignoriert")
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return None
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try:
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endpoint_ms = int(payload.get("endpointMs") or STREAM_DEFAULT_ENDPOINT_MS)
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except (TypeError, ValueError):
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endpoint_ms = STREAM_DEFAULT_ENDPOINT_MS
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try:
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hard_cap_ms = int(payload.get("hardCapMs") or STREAM_DEFAULT_HARD_CAP_MS)
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except (TypeError, ValueError):
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hard_cap_ms = STREAM_DEFAULT_HARD_CAP_MS
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try:
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voice_factor = float(payload.get("voiceFactor") or STREAM_VOICE_FACTOR)
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except (TypeError, ValueError):
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voice_factor = STREAM_VOICE_FACTOR
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sess = StreamSession(
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request_id=request_id,
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audio_request_id=payload.get("audioRequestId", "") or "",
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language=payload.get("language") or VOXTRAL_LANGUAGE,
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endpoint_ms=endpoint_ms,
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hard_cap_ms=hard_cap_ms,
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voice=payload.get("voice", "") or "",
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speed=float(payload.get("speed") or 1.0),
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voice_factor=voice_factor,
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interrupted=bool(payload.get("interrupted", False)),
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location=payload.get("location") or None,
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sample_rate=int(payload.get("sampleRate") or 16000),
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)
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# vLLM-Realtime-Session oeffnen + Reader starten.
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try:
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sess.vllm_ws = await websockets.connect(VOXTRAL_VLLM_URL, max_size=8 * 1024 * 1024)
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await self._vllm_configure(sess)
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sess.vllm_reader = asyncio.create_task(self._vllm_read_loop(sess))
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except Exception as e:
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logger.exception("Stream %s: vLLM-Realtime-Connect fehlgeschlagen: %s",
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request_id[:8], e)
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# ohne Backend keine Transkription → sofort leeres Endpoint melden
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self._sessions[request_id] = sess
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await self._finalize(sess, reason="vllm_unavailable")
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return None
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self._sessions[request_id] = sess
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logger.info("Voxtral-Session offen: id=%s lang=%s endpointMs=%d",
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request_id[:8], sess.language, sess.endpoint_ms)
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return sess
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async def _vllm_configure(self, sess: StreamSession) -> None:
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"""Optionale Session-Konfig an vLLM (Modell/Sprache/temperature=0).
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VERIFY: exaktes session.update-Schema gegen vLLM-Realtime-Beispiel.
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Best-effort — Fehler hier sind nicht fatal."""
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try:
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await sess.vllm_ws.send(json.dumps({
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"type": "session.update",
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"session": {
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"model": VOXTRAL_MODEL,
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"language": sess.language,
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"temperature": 0.0,
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"input_audio_format": "pcm16",
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},
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}))
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except Exception:
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pass
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async def _vllm_read_loop(self, sess: StreamSession) -> None:
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"""Liest transcription.delta/.done vom vLLM-Realtime-Server."""
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ws = sess.vllm_ws
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try:
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async for raw in ws:
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try:
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msg = json.loads(raw)
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except Exception:
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continue
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mtype = str(msg.get("type", ""))
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if any(mtype.endswith(s) for s in VLLM_DELTA_SUFFIXES):
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text = self._extract_text(msg)
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if text:
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await self._on_delta(sess, text)
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elif any(mtype.endswith(s) for s in VLLM_DONE_SUFFIXES):
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text = self._extract_text(msg)
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if text:
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await self._on_delta(sess, text, final=True)
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except Exception:
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logger.debug("Stream %s: vLLM-Reader beendet", sess.request_id[:8])
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@staticmethod
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def _extract_text(msg: dict) -> str:
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for f in VLLM_DELTA_FIELDS:
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v = msg.get(f)
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if isinstance(v, str) and v:
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return v
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return ""
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async def _on_delta(self, sess: StreamSession, text: str, final: bool = False) -> None:
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"""Neuer/finaler Transkript-Text vom vLLM. delta = inkrementell; wir
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haengen an, wenn er den bisherigen Partial verlaengert, sonst ersetzen
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wir (Voxtral kann korrigieren)."""
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if final or text.startswith(sess.last_partial):
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new_full = text if final else text
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else:
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new_full = (sess.last_partial + text).strip()
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new_full = new_full.strip()
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if new_full and new_full != sess.last_partial:
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sess.last_partial = new_full
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sess.last_growth_at = time.time()
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if self._ws is not None:
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await _send(self._ws, "stt_partial", {
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"requestId": sess.request_id,
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"audioRequestId": sess.audio_request_id,
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"text": new_full,
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})
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def feed_chunk(self, payload: dict) -> bool:
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request_id = payload.get("requestId", "")
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sess = self._sessions.get(request_id)
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if sess is None or sess.closed:
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return False
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pcm_b64 = payload.get("pcm", "")
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if not pcm_b64:
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return True
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try:
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pcm = base64.b64decode(pcm_b64)
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except Exception:
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return True
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sess.pcm_buffer.extend(pcm)
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sess.last_chunk_at = time.time()
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# An vLLM weiterreichen (fire-and-forget).
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if sess.vllm_ws is not None:
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asyncio.create_task(self._vllm_append(sess, pcm_b64))
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return True
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async def _vllm_append(self, sess: StreamSession, pcm_b64: str) -> None:
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try:
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await sess.vllm_ws.send(json.dumps({
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"type": VLLM_SEND_APPEND,
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VLLM_AUDIO_FIELD: pcm_b64,
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}))
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except Exception:
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pass
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def end_session(self, request_id: str) -> None:
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sess = self._sessions.get(request_id)
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if sess is not None:
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sess.closed = True
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def drop(self, request_id: str) -> None:
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sess = self._sessions.pop(request_id, None)
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if sess is not None:
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self._teardown_vllm(sess)
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def _teardown_vllm(self, sess: StreamSession) -> None:
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try:
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if sess.vllm_reader is not None:
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sess.vllm_reader.cancel()
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except Exception:
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pass
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if sess.vllm_ws is not None:
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asyncio.create_task(self._close_ws(sess.vllm_ws))
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sess.vllm_ws = None
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@staticmethod
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async def _close_ws(ws) -> None:
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try:
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await ws.close()
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except Exception:
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pass
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# ── Endpointer (adaptiv, wie whisper-Bridge M0.1) ──
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def _buffer_duration_ms(self, sess: StreamSession) -> float:
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samples = len(sess.pcm_buffer) // 2
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return (samples / sess.sample_rate) * 1000.0 if samples else 0.0
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def _tail_rms(self, sess: StreamSession) -> float:
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win_bytes = int(sess.sample_rate * STREAM_ENERGY_WINDOW_MS / 1000) * 2
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if win_bytes <= 0:
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return 0.0
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tail = sess.pcm_buffer[-win_bytes:]
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if len(tail) < 2:
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return 0.0
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arr = pcm_s16le_to_float32(bytes(tail))
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if arr.size == 0:
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return 0.0
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return float(np.sqrt(np.mean(arr * arr)))
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def _voice_threshold(self, sess: StreamSession) -> float:
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nf = sess.noise_floor
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if nf <= 0.0:
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return sess.voice_rms_min
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return min(max(nf * sess.voice_factor, sess.voice_rms_min), sess.voice_rms_max)
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def _update_noise_floor(self, sess: StreamSession, rms: float) -> None:
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nf = sess.noise_floor
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if nf <= 0.0:
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sess.noise_floor = rms
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elif rms < nf:
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sess.noise_floor = 0.90 * nf + 0.10 * rms
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else:
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sess.noise_floor = 0.98 * nf + 0.02 * rms
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async def run_endpointer(self) -> None:
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logger.info("Voxtral-Endpointer gestartet (adaptiver VAD)")
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while True:
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await asyncio.sleep(0.2)
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now = time.time()
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for sid, sess in list(self._sessions.items()):
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try:
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await self._tick(sess, now)
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except Exception:
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logger.exception("Endpointer-Tick crashed (session=%s)", sid[:8])
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for sid, sess in list(self._sessions.items()):
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if now - sess.last_chunk_at > STREAM_SESSION_TTL_S:
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logger.info("Stream %s: TTL — drop", sid[:8])
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self.drop(sid)
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async def _tick(self, sess: StreamSession, now: float) -> None:
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if sess.endpoint_sent:
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return
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elapsed_ms = (now - sess.started_at) * 1000.0
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if elapsed_ms > sess.hard_cap_ms and not sess.closed:
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await self._finalize(sess, reason="hardcap")
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return
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if sess.closed:
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await self._finalize(sess, reason="stream_end")
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return
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if self._buffer_duration_ms(sess) < STREAM_MIN_AUDIO_MS:
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return
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# adaptive akustische Sprach-Aktivitaet
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rms = self._tail_rms(sess)
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if rms >= self._voice_threshold(sess):
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sess.last_voice_at = now
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else:
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self._update_noise_floor(sess, rms)
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# Endpoint: akustisch (Primaer) oder semantisch (Backstop), sobald Text da
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if sess.last_growth_at > 0.0:
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acoustic_silence_ms = (now - sess.last_voice_at) * 1000.0 if sess.last_voice_at > 0 else 0.0
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semantic_silence_ms = (now - sess.last_growth_at) * 1000.0
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acoustic_done = sess.last_voice_at > 0 and acoustic_silence_ms >= sess.endpoint_ms
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semantic_done = semantic_silence_ms >= sess.endpoint_ms * STREAM_SEMANTIC_BACKUP_FACTOR
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if acoustic_done or semantic_done:
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await self._finalize(sess, reason="endpoint" if acoustic_done else "endpoint_semantic")
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async def _finalize(self, sess: StreamSession, reason: str) -> None:
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if sess.endpoint_sent:
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return
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sess.endpoint_sent = True
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# vLLM ggf. committen, damit ein letztes transcription.done kommt.
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if sess.vllm_ws is not None:
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try:
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await sess.vllm_ws.send(json.dumps({"type": VLLM_SEND_COMMIT}))
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await asyncio.sleep(0.15) # kurz auf finalen Delta warten
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except Exception:
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pass
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final_text = sess.last_partial.strip()
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duration_s = self._buffer_duration_ms(sess) / 1000.0
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logger.info("Stream %s: FINAL (reason=%s, %.1fs): %r",
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sess.request_id[:8], reason, duration_s, final_text[:120])
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if self._ws is not None:
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endpoint_payload = {
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"requestId": sess.request_id,
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"audioRequestId": sess.audio_request_id,
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"text": final_text,
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"reason": reason,
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"durationS": duration_s,
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"sttMs": 0,
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"voice": sess.voice,
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"speed": sess.speed,
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|
"interrupted": sess.interrupted,
|
|
}
|
|
if sess.location:
|
|
endpoint_payload["location"] = sess.location
|
|
await _send(self._ws, "stt_endpoint", endpoint_payload)
|
|
await _send(self._ws, "stt_stream_done", {
|
|
"requestId": sess.request_id,
|
|
"audioRequestId": sess.audio_request_id,
|
|
"text": final_text,
|
|
"reason": reason,
|
|
})
|
|
self.drop(sess.request_id)
|
|
|
|
|
|
async def _broadcast_status(ws, state: str, **extra) -> None:
|
|
payload = {"service": "voxtral", "state": state}
|
|
payload.update(extra)
|
|
await _send(ws, "service_status", payload)
|
|
|
|
|
|
async def run_loop(sessions: SessionManager) -> None:
|
|
use_tls = RVS_TLS
|
|
retry_s = 2
|
|
tls_fallback_tried = False
|
|
while True:
|
|
scheme = "wss" if use_tls else "ws"
|
|
url = f"{scheme}://{RVS_HOST}:{RVS_PORT}/ws?token={RVS_TOKEN}"
|
|
masked = url.replace(RVS_TOKEN, "***") if RVS_TOKEN else url
|
|
try:
|
|
logger.info("Verbinde zu RVS: %s", masked)
|
|
async with websockets.connect(url, ping_interval=20, ping_timeout=10,
|
|
max_size=50 * 1024 * 1024) as ws:
|
|
logger.info("RVS verbunden")
|
|
retry_s = 2
|
|
tls_fallback_tried = False
|
|
sessions.attach_ws(ws)
|
|
await _broadcast_status(ws, "ready", model=VOXTRAL_MODEL)
|
|
await _send(ws, "config_request", {"service": "voxtral"})
|
|
|
|
async for raw in ws:
|
|
try:
|
|
msg = json.loads(raw)
|
|
except Exception:
|
|
continue
|
|
mtype = msg.get("type", "")
|
|
payload = msg.get("payload", {}) or {}
|
|
if mtype == "stt_stream_start":
|
|
asyncio.create_task(sessions.start_session(payload))
|
|
elif mtype == "stt_audio_chunk":
|
|
sessions.feed_chunk(payload)
|
|
elif mtype == "stt_stream_end":
|
|
sessions.end_session(payload.get("requestId", ""))
|
|
# stt_request (Legacy One-Shot) macht Voxtral hier NICHT —
|
|
# dafuer bleibt die whisper-Bridge (Fallback).
|
|
except Exception as e:
|
|
logger.warning("RVS-Verbindung verloren: %s — retry in %ds", e, retry_s)
|
|
if use_tls and RVS_TLS_FALLBACK and not tls_fallback_tried:
|
|
use_tls = False
|
|
tls_fallback_tried = True
|
|
logger.info("TLS-Fallback: versuche ws:// (kein TLS)")
|
|
continue
|
|
await asyncio.sleep(retry_s)
|
|
retry_s = min(retry_s * 2, 30)
|
|
use_tls = RVS_TLS # fuer den naechsten Zyklus zuruecksetzen
|
|
|
|
|
|
async def main() -> None:
|
|
if not RVS_HOST or not RVS_TOKEN:
|
|
logger.error("RVS_HOST/RVS_TOKEN fehlen — .env pruefen. Abbruch.")
|
|
return
|
|
sessions = SessionManager()
|
|
logger.info("Voxtral-Bridge startet — vLLM=%s Modell=%s", VOXTRAL_VLLM_URL, VOXTRAL_MODEL)
|
|
await asyncio.gather(
|
|
run_loop(sessions),
|
|
sessions.run_endpointer(),
|
|
)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
try:
|
|
asyncio.run(main())
|
|
except KeyboardInterrupt:
|
|
pass
|