Schnellere Antwort

docker-compose.yml

@@ -19,7 +19,6 @@ services:
     ports:
       - "8091:8091"
       - "8092:8092"
-      - "8094:8094"
     volumes:
       - /home/guru/vllm/data/root:/root
       - ./deploy/qwen3_tts.yaml:/deploy/qwen3_tts.yaml:ro
@@ -31,7 +30,7 @@ services:
     command: ["/bin/bash", "/entrypoint.sh"]
     restart: unless-stopped
     healthcheck:
-      test: ["CMD", "curl", "-sf", "http://localhost:8091/health"]
+      test: ["CMD", "curl", "-sf", "http://localhost:8095/health"]
       interval: 30s
       timeout: 10s
       retries: 5
@@ -61,10 +60,11 @@ services:
       - ./deploy/qwen3_tts_clone.yaml:/deploy/qwen3_tts_clone.yaml:ro
       - ./docker/entrypoint_clone.sh:/entrypoint_clone.sh:ro
       - ./docker/patch_qwen3_tts_runtime.py:/patch_qwen3_tts_runtime.py:ro
+      - ./docker/ws_log_proxy.py:/ws_log_proxy.py:ro
     command: ["/bin/bash", "/entrypoint_clone.sh"]
     restart: "no"
     healthcheck:
-      test: ["CMD", "curl", "-sf", "http://localhost:8091/health"]
+      test: ["CMD", "curl", "-sf", "http://localhost:8095/health"]
       interval: 30s
       timeout: 10s
       retries: 5

docker/entrypoint.sh

@@ -7,9 +7,9 @@
 set -e
 
 MODEL="${QWEN3_TTS_MODEL:-Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice}"
-PORT=8091
+PORT=8091        # external-facing proxy port (clients connect here)
+VLLM_PORT=8095   # internal vllm-omni port
 UI_PORT=8092
-WS_LOG_PORT=8094
 
 # --- Runtime-Patches fuer Qwen3-TTS anwenden ---
 if [ -f /patch_qwen3_tts_runtime.py ]; then
@@ -21,28 +21,29 @@ if [ -f /voice_clone_ui.py ]; then
   python3 /voice_clone_ui.py \
     --host 0.0.0.0 \
     --port "$UI_PORT" \
-    --api-base "http://localhost:${PORT}" \
+    --api-base "http://localhost:${VLLM_PORT}" \
     --clone-api-base "http://qwen3-tts-clone:8093" \
     --model "$MODEL" &
   UI_PID=$!
   echo "[ui] Voice-Cloning-UI laeuft auf Port ${UI_PORT}"
 fi
 
-# --- WebSocket-Logging-Proxy im Container starten ---
+# --- WebSocket-Proxy auf dem client-facing PORT starten ---
+# Proxy sitzt vor vllm-omni und fuegt Stille-Fuellen zwischen Saetzen ein.
 if [ -f /ws_log_proxy.py ]; then
   python3 /ws_log_proxy.py \
     --host 0.0.0.0 \
-    --port "$WS_LOG_PORT" \
+    --port "$PORT" \
-    --upstream "ws://localhost:${PORT}/v1/audio/speech/stream" &
+    --upstream "ws://localhost:${VLLM_PORT}/v1/audio/speech/stream" &
-  WS_LOG_PID=$!
+  WS_PROXY_PID=$!
-  echo "[ws-log] Proxy laeuft auf Port ${WS_LOG_PORT}"
+  echo "[ws-proxy] Proxy laeuft auf Port ${PORT} -> vllm-omni Port ${VLLM_PORT}"
 fi
 
-# --- Server im Hintergrund starten ---
+# --- vllm-omni Server intern auf VLLM_PORT starten ---
 vllm-omni serve "$MODEL" \
   --omni \
   --host 0.0.0.0 \
-  --port "$PORT" \
+  --port "$VLLM_PORT" \
   --deploy-config /deploy/qwen3_tts.yaml \
   --gpu-memory-utilization 0.10 \
   --trust-remote-code &
@@ -51,10 +52,10 @@ SERVER_PID=$!
 # --- Warmup im Hintergrund, sobald der Server gesund ist ---
 (
   for _ in $(seq 1 150); do
-    if curl -sf "http://localhost:${PORT}/health" >/dev/null 2>&1; then
+    if curl -sf "http://localhost:${VLLM_PORT}/health" >/dev/null 2>&1; then
       echo "[warmup] Server gesund — sende Warmup-Request (kompiliert CUDA-Graphen)..."
       t0=$SECONDS
-      curl -sf -X POST "http://localhost:${PORT}/v1/audio/speech" \
+      curl -sf -X POST "http://localhost:${VLLM_PORT}/v1/audio/speech" \
         -H 'Content-Type: application/json' \
         -d "{\"model\":\"${MODEL}\",\"input\":\"System wird aufgewärmt.\",\"voice\":\"Ryan\",\"language\":\"German\",\"response_format\":\"wav\"}" \
         -o /dev/null \
@@ -67,5 +68,5 @@ SERVER_PID=$!
 ) &
 
 # --- Auf den Server-Prozess warten (PID 1 Signalweiterleitung) ---
-trap 'kill "$SERVER_PID" "${UI_PID:-}" "${WS_LOG_PID:-}" 2>/dev/null || true' TERM INT
+trap 'kill "$SERVER_PID" "${UI_PID:-}" "${WS_PROXY_PID:-}" 2>/dev/null || true' TERM INT
 wait "$SERVER_PID"

docker/entrypoint_clone.sh

@@ -2,33 +2,43 @@
 set -e
 
 MODEL="${QWEN3_TTS_CLONE_MODEL:-}"
-PORT="${QWEN3_TTS_CLONE_PORT:-8091}"
+PORT="${QWEN3_TTS_CLONE_PORT:-8091}"   # external-facing proxy port
+VLLM_PORT=8095                          # internal vllm-omni port
 
 if [ -z "$MODEL" ]; then
   echo "[clone] QWEN3_TTS_CLONE_MODEL ist nicht gesetzt." >&2
   exit 2
 fi
 
-echo "[clone] starte Clone-Modell: ${MODEL} auf Port ${PORT}"
+echo "[clone] starte Clone-Modell: ${MODEL} auf Port ${PORT} (vllm intern: ${VLLM_PORT})"
 
 if [ -f /patch_qwen3_tts_runtime.py ]; then
   python3 /patch_qwen3_tts_runtime.py
 fi
 
+# Proxy auf client-facing PORT; leitet an internen VLLM_PORT weiter.
+if [ -f /ws_log_proxy.py ]; then
+  python3 /ws_log_proxy.py \
+    --host 0.0.0.0 \
+    --port "$PORT" \
+    --upstream "ws://localhost:${VLLM_PORT}/v1/audio/speech/stream" &
+  echo "[ws-proxy] Proxy läuft auf Port ${PORT} -> vllm-omni Port ${VLLM_PORT}"
+fi
+
 vllm-omni serve "$MODEL" \
   --omni \
   --host 0.0.0.0 \
-  --port "$PORT" \
+  --port "$VLLM_PORT" \
   --deploy-config /deploy/qwen3_tts_clone.yaml \
   --trust-remote-code &
 SERVER_PID=$!
 
 (
   for _ in $(seq 1 150); do
-    if curl -sf "http://localhost:${PORT}/health" >/dev/null 2>&1; then
+    if curl -sf "http://localhost:${VLLM_PORT}/health" >/dev/null 2>&1; then
       echo "[warmup] Clone gesund — sende Warmup-Request (kompiliert CUDA-Graphen)..."
       t0=$SECONDS
-      curl -sf -X POST "http://localhost:${PORT}/v1/audio/speech" \
+      curl -sf -X POST "http://localhost:${VLLM_PORT}/v1/audio/speech" \
         -H 'Content-Type: application/json' \
         --max-time 180 \
         -d "{\"model\":\"${MODEL}\",\"input\":\"System wird aufgewärmt.\",\"language\":\"German\",\"response_format\":\"wav\",\"task_type\":\"VoiceDesign\",\"instructions\":\"Eine ruhige Stimme.\"}" \

docker/ws_log_proxy.py

@@ -1,83 +1,350 @@
 #!/usr/bin/env python3
-"""Logging WebSocket proxy for Qwen3-TTS streaming calls."""
+"""Combined HTTP + WebSocket proxy for Qwen3-TTS on a single port.
+
+Routes on one port (default 8091):
+  POST /v1/audio/speech          → REST proxy to internal vllm-omni
+  GET  /v1/audio/speech/stream   → WebSocket (PCM-paced, REST-sourced)
+  GET  /health                   → health proxy to internal vllm-omni
+
+Why REST-sourced WebSocket?
+  The vllm-omni streaming codec drops the onset of short utterances.
+  The batch REST endpoint (/v1/audio/speech) uses full decode and renders
+  every word cleanly. This proxy keeps the client-facing WS protocol intact
+  while sourcing audio sentence-by-sentence from REST, pacing the result
+  into one continuous real-time PCM stream via pcm_pacer.
+
+Why instructions is NOT forwarded:
+  With a cloned ICL voice (ref_audio) the voice character comes from the
+  reference; an extra style prompt makes the Talker emit EOS far too early
+  and clips short words ("Hallo." → 0.16 s vs 0.40 s without).
+"""
 import argparse
 import asyncio
 import datetime as dt
 import json
+import math
+import re
+
+import aiohttp
 import websockets
+from aiohttp import web
+
+# ---------------------------------------------------------------------------
+SAMPLE_RATE      = 24_000
+BYTES_PER_SAMPLE = 2
+BYTES_PER_SEC    = SAMPLE_RATE * BYTES_PER_SAMPLE   # 48 000
+
+SEND_CHUNK   = 960                                   # 20 ms at 48 kHz
+FRAME_SECS   = SEND_CHUNK / BYTES_PER_SEC            # 0.020 s
+
+LEADING_MS      = 100
+LEADING_FRAMES  = math.ceil(LEADING_MS  / 1000 / FRAME_SECS)
+TRAILING_MS     = 200
+TRAILING_FRAMES = math.ceil(TRAILING_MS / 1000 / FRAME_SECS)
+
+# Per-sentence synthesis timeout. A healthy sentence renders in <2 s.
+SYNTH_TIMEOUT_S      = 30
+# Direct REST proxy timeout — longer for potentially bigger inputs.
+REST_PROXY_TIMEOUT_S = 120
+
+SILENCE_CHUNK = bytes(SEND_CHUNK)
+
+SPLIT_RE         = re.compile(r"(?<=[.!?])\s+|(?<=[。！？])")
+MIN_SENTENCE_LEN = 2
+
+# Fields forwarded to the internal REST synthesis request.
+# `instructions` deliberately omitted — see module docstring.
+REST_PASSTHROUGH = ("model", "voice", "task_type", "language",
+                    "seed", "speaker_embedding")
+# ---------------------------------------------------------------------------
+
+_internal_base_url: str = ""   # e.g. http://localhost:8095
+_internal_ws_url:   str = ""   # e.g. ws://localhost:8095/v1/audio/speech/stream
 
 
-def now():
+def now() -> str:
     return dt.datetime.now().isoformat(timespec="seconds")
 
 
-def shorten(value, limit=500):
+class SentenceSplitter:
-    text = value if isinstance(value, str) else repr(value)
+    """Incremental splitter: buffers text, yields complete sentences."""
-    return text if len(text) <= limit else text[:limit] + "..."
+
+    def __init__(self) -> None:
+        self.buf = ""
+
+    def add(self, text: str) -> list[str]:
+        self.buf += text
+        out: list[str] = []
+        while True:
+            m = SPLIT_RE.search(self.buf)
+            if not m:
+                break
+            idx  = m.end()
+            head = self.buf[:idx].strip()
+            if len(head) < MIN_SENTENCE_LEN:
+                break
+            self.buf = self.buf[idx:]
+            if head:
+                out.append(head)
+        return out
+
+    def flush(self) -> list[str]:
+        s = self.buf.strip()
+        self.buf = ""
+        return [s] if s else []
 
 
-async def proxy(client_ws, upstream_url):
+async def synth_rest(http: aiohttp.ClientSession, cfg: dict, text: str) -> bytes:
-    conn_id = f"ws-{id(client_ws):x}"
+    """Synthesise one sentence via the internal batch REST endpoint → raw PCM."""
-    print(f"[{now()}] {conn_id} open -> {upstream_url}", flush=True)
+    payload = {"input": text, "response_format": "pcm"}
-    async with websockets.connect(upstream_url, max_size=None) as upstream_ws:
+    for k in REST_PASSTHROUGH:
-        async def client_to_upstream():
+        if cfg.get(k) is not None:
-            async for msg in client_ws:
+            payload[k] = cfg[k]
-                if isinstance(msg, str):
+    async with http.post(f"{_internal_base_url}/v1/audio/speech",
-                    try:
+                         json=payload) as resp:
-                        data = json.loads(msg)
+        resp.raise_for_status()
-                        typ = data.get("type")
+        return await resp.read()
-                        if typ == "session.config":
-                            log_data = dict(data)
-                            if "speaker_embedding" in log_data:
-                                emb = log_data["speaker_embedding"] or []
-                                log_data["speaker_embedding"] = f"<{len(emb)} floats>"
-                            print(f"[{now()}] {conn_id} C->S config {json.dumps(log_data, ensure_ascii=False, sort_keys=True)}", flush=True)
-                        elif typ == "input.text":
-                            print(f"[{now()}] {conn_id} C->S text {data.get('text')!r}", flush=True)
-                        else:
-                            print(f"[{now()}] {conn_id} C->S {shorten(msg)}", flush=True)
-                    except Exception:
-                        print(f"[{now()}] {conn_id} C->S {shorten(msg)}", flush=True)
-                else:
-                    print(f"[{now()}] {conn_id} C->S binary {len(msg)} bytes", flush=True)
-                await upstream_ws.send(msg)
-
-        async def upstream_to_client():
-            async for msg in upstream_ws:
-                if isinstance(msg, str):
-                    try:
-                        data = json.loads(msg)
-                        print(f"[{now()}] {conn_id} S->C {data}", flush=True)
-                    except Exception:
-                        print(f"[{now()}] {conn_id} S->C {shorten(msg)}", flush=True)
-                else:
-                    print(f"[{now()}] {conn_id} S->C binary {len(msg)} bytes", flush=True)
-                await client_ws.send(msg)
-
-        await asyncio.gather(client_to_upstream(), upstream_to_client())
 
 
-async def handler(client_ws):
+# ── REST proxy ───────────────────────────────────────────────────────────────
+
+async def handle_rest(request: web.Request) -> web.StreamResponse:
+    """Forward POST /v1/audio/speech to the internal vllm-omni REST API."""
+    body    = await request.read()
+    ct      = request.headers.get("Content-Type", "application/json")
+    timeout = aiohttp.ClientTimeout(total=REST_PROXY_TIMEOUT_S)
+    async with aiohttp.ClientSession(timeout=timeout) as http:
+        async with http.post(
+            f"{_internal_base_url}/v1/audio/speech",
+            data=body,
+            headers={"Content-Type": ct},
+        ) as resp:
+            out_ct   = resp.headers.get("Content-Type", "application/octet-stream")
+            response = web.StreamResponse(
+                status=resp.status,
+                headers={"Content-Type": out_ct},
+            )
+            await response.prepare(request)
+            async for chunk in resp.content.iter_chunked(65536):
+                await response.write(chunk)
+            await response.write_eof()
+            return response
+
+
+async def handle_health(request: web.Request) -> web.Response:
+    """Proxy GET /health to internal vllm-omni."""
     try:
-        await proxy(client_ws, handler.upstream_url)
+        async with aiohttp.ClientSession() as http:
-    except Exception as exc:
+            async with http.get(f"{_internal_base_url}/health") as resp:
-        print(f"[{now()}] proxy error: {exc}", flush=True)
+                return web.Response(status=resp.status, text=await resp.text())
+    except Exception:
+        return web.Response(status=503, text="unavailable")
+
+
+# ── WebSocket PCM session ────────────────────────────────────────────────────
+
+async def proxy_session_pcm(client_ws: web.WebSocketResponse,
+                             conn_id: str, cfg: dict) -> None:
+    """REST-sourced, paced, single continuous PCM stream per session."""
+    pcm_queue:      asyncio.Queue = asyncio.Queue()
+    sentence_queue: asyncio.Queue = asyncio.Queue()
+    splitter = SentenceSplitter()
+    started  = {"audio": False}
+
+    def enqueue_pcm(data: bytes) -> None:
+        for i in range(0, len(data), SEND_CHUNK):
+            piece = data[i:i + SEND_CHUNK]
+            if len(piece) < SEND_CHUNK:
+                piece = piece + bytes(SEND_CHUNK - len(piece))
+            pcm_queue.put_nowait(piece)
+
+    async def pcm_pacer() -> bool:
+        """Drain pcm_queue at 48 kHz. Returns True = fully drained, False = disconnected."""
+        loop = asyncio.get_event_loop()
+        t0   = loop.time()
+        sent = 0
         try:
-            await client_ws.close()
+            while True:
-        except Exception:
+                target = t0 + sent / BYTES_PER_SEC
-            pass
+                delay  = target - loop.time()
+                if delay > 0.001:
+                    await asyncio.sleep(delay)
+                try:
+                    chunk = pcm_queue.get_nowait()
+                    if chunk is None:
+                        break
+                except asyncio.QueueEmpty:
+                    chunk = SILENCE_CHUNK
+                await client_ws.send_bytes(chunk)
+                sent += len(chunk)
+        except Exception as exc:
+            print(f"[{now()}] {conn_id} PACER send failed after {sent} B "
+                  f"({sent/BYTES_PER_SEC:.2f}s): {exc!r}", flush=True)
+            return False
+        print(f"[{now()}] {conn_id} PACER done, {sent} B "
+              f"({sent/BYTES_PER_SEC:.2f}s)", flush=True)
+        return True
+
+    pacer_task = asyncio.create_task(pcm_pacer())
+
+    async def synth_worker() -> None:
+        timeout = aiohttp.ClientTimeout(total=SYNTH_TIMEOUT_S)
+        async with aiohttp.ClientSession(timeout=timeout) as http:
+            while True:
+                text = await sentence_queue.get()
+                if text is None:
+                    break
+                try:
+                    pcm = await synth_rest(http, cfg, text)
+                except Exception as exc:
+                    print(f"[{now()}] {conn_id} REST synth failed for "
+                          f"{text!r}: {exc!r}", flush=True)
+                    continue
+                print(f"[{now()}] {conn_id} REST {text!r} -> {len(pcm)} B "
+                      f"({len(pcm)/BYTES_PER_SEC:.2f}s)", flush=True)
+                if not started["audio"]:
+                    started["audio"] = True
+                    await client_ws.send_str(json.dumps(
+                        {"type": "audio.start", "format": "pcm",
+                         "sample_rate": SAMPLE_RATE}))
+                    for _ in range(LEADING_FRAMES):
+                        pcm_queue.put_nowait(SILENCE_CHUNK)
+                enqueue_pcm(pcm)
+        for _ in range(TRAILING_FRAMES):
+            pcm_queue.put_nowait(SILENCE_CHUNK)
+        pcm_queue.put_nowait(None)
+
+    worker_task = asyncio.create_task(synth_worker())
+
+    async def cleanup() -> None:
+        for t in (worker_task, pacer_task):
+            if not t.done():
+                t.cancel()
+        await asyncio.gather(worker_task, pacer_task, return_exceptions=True)
+
+    try:
+        async for msg in client_ws:
+            if msg.type == aiohttp.WSMsgType.TEXT:
+                try:
+                    data = json.loads(msg.data)
+                    typ  = data.get("type")
+                except Exception:
+                    continue
+                if typ == "input.text":
+                    text = data.get("text", "")
+                    print(f"[{now()}] {conn_id} C text {text!r}", flush=True)
+                    for sent in splitter.add(text):
+                        sentence_queue.put_nowait(sent)
+                elif typ == "input.done":
+                    print(f"[{now()}] {conn_id} C input.done", flush=True)
+                    for sent in splitter.flush():
+                        sentence_queue.put_nowait(sent)
+                    sentence_queue.put_nowait(None)
+                    drained_ok = await pacer_task
+                    if not worker_task.done():
+                        worker_task.cancel()
+                    if drained_ok:
+                        try:
+                            await client_ws.send_str(
+                                json.dumps({"type": "session.done"}))
+                        except Exception:
+                            pass
+                    return
+            elif msg.type in (aiohttp.WSMsgType.CLOSE, aiohttp.WSMsgType.ERROR):
+                break
+    finally:
+        await cleanup()
 
 
-async def main():
+async def proxy_session_passthrough(client_ws: web.WebSocketResponse,
+                                    conn_id: str, first_msg_data: str) -> None:
+    """Transparent WS passthrough to streaming upstream (non-PCM clients)."""
+    async with websockets.connect(_internal_ws_url, max_size=None) as upstream:
+        await upstream.send(first_msg_data)
+
+        async def c2u() -> None:
+            async for msg in client_ws:
+                if msg.type == aiohttp.WSMsgType.TEXT:
+                    await upstream.send(msg.data)
+                elif msg.type == aiohttp.WSMsgType.BINARY:
+                    await upstream.send(msg.data)
+                else:
+                    break
+
+        async def u2c() -> None:
+            async for m in upstream:
+                if isinstance(m, str):
+                    await client_ws.send_str(m)
+                else:
+                    await client_ws.send_bytes(m)
+
+        await asyncio.gather(c2u(), u2c())
+
+
+async def handle_ws(request: web.Request) -> web.WebSocketResponse:
+    conn_id   = f"ws-{id(request):x}"
+    client_ws = web.WebSocketResponse(max_msg_size=0)
+    await client_ws.prepare(request)
+    print(f"[{now()}] {conn_id} open", flush=True)
+
+    # First client message must be session.config.
+    first = await client_ws.receive()
+    if first.type != aiohttp.WSMsgType.TEXT:
+        return client_ws
+    try:
+        cfg = json.loads(first.data)
+    except Exception:
+        cfg = {}
+
+    if cfg.get("response_format", "pcm") == "pcm":
+        log = dict(cfg)
+        if log.get("speaker_embedding"):
+            log["speaker_embedding"] = f"<{len(log['speaker_embedding'])} floats>"
+        print(f"[{now()}] {conn_id} config "
+              f"{json.dumps(log, ensure_ascii=False, sort_keys=True)}", flush=True)
+        await proxy_session_pcm(client_ws, conn_id, cfg)
+    else:
+        print(f"[{now()}] {conn_id} non-PCM -> passthrough", flush=True)
+        await proxy_session_passthrough(client_ws, conn_id, first.data)
+
+    return client_ws
+
+
+# ── main ─────────────────────────────────────────────────────────────────────
+
+async def main() -> None:
+    global _internal_base_url, _internal_ws_url
+
     parser = argparse.ArgumentParser()
-    parser.add_argument("--host", default="0.0.0.0")
+    parser.add_argument("--host",     default="0.0.0.0")
-    parser.add_argument("--port", type=int, default=8094)
+    parser.add_argument("--port",     type=int, default=8091)
-    parser.add_argument("--upstream", default="ws://localhost:8091/v1/audio/speech/stream")
+    parser.add_argument("--upstream", default="ws://localhost:8095/v1/audio/speech/stream")
+    parser.add_argument("--rest",     default=None,
+                        help="Internal REST base URL (default: derived from --upstream)")
     args = parser.parse_args()
-    handler.upstream_url = args.upstream
+
-    print(f"WS log proxy: ws://{args.host}:{args.port}/v1/audio/speech/stream -> {args.upstream}", flush=True)
+    _internal_ws_url = args.upstream
-    async with websockets.serve(handler, args.host, args.port, max_size=None):
+    if args.rest:
-        await asyncio.Future()
+        _internal_base_url = args.rest.rstrip("/")
+    else:
+        http = args.upstream.replace("ws://", "http://").replace("wss://", "https://")
+        _internal_base_url = http.rsplit("/v1/", 1)[0]
+
+    print(f"Proxy on {args.host}:{args.port}  "
+          f"(REST: {_internal_base_url}/v1/audio/speech  "
+          f"WS: {_internal_ws_url})", flush=True)
+
+    app = web.Application()
+    app.router.add_get("/v1/audio/speech/stream", handle_ws)
+    app.router.add_post("/v1/audio/speech",        handle_rest)
+    app.router.add_get("/health",                  handle_health)
+
+    runner = web.AppRunner(app, access_log=None)
+    await runner.setup()
+    site = web.TCPSite(runner, args.host, args.port)
+    await site.start()
+    print(f"Listening on http+ws://{args.host}:{args.port}", flush=True)
+    await asyncio.Future()
 
 
 if __name__ == "__main__":

scripts/start_clone.sh

@@ -2,7 +2,7 @@
 set -euo pipefail
 cd "$(dirname "$0")/.."
 
-HEALTH_URL="http://localhost:8091/health"
+HEALTH_URL=""  # leer → nutzt docker inspect health status
 MAX_WAIT="${MAX_WAIT:-180}"
 [ -f .env ] && source .env
 MODEL="${QWEN3_TTS_CLONE_MODEL:-Qwen/Qwen3-TTS-12Hz-1.7B-Base}"
@@ -25,16 +25,22 @@ printf "  API      http://localhost:8091
 "
 
 while (( SECONDS - t0 < MAX_WAIT )); do
-    if curl -sf "$HEALTH_URL" >/dev/null 2>&1; then
+    STATUS=$(docker inspect qwen3-tts-clone --format='{{.State.Health.Status}}' 2>/dev/null || true)
-        printf "✓  Clone bereit: http://localhost:8091  [%ds]
+    if [ "$STATUS" = "healthy" ]; then
+        printf "✓  Clone bereit: ws://localhost:8091  [%ds]
 " $(( SECONDS - t0 ))
         exit 0
     fi
-
+    if [ "$STATUS" = "unhealthy" ]; then
+        printf "✗  Clone-Container unhealthy. Logs:
+" >&2
+        docker logs --tail=20 qwen3-tts-clone 2>&1 >&2 || true
+        exit 1
+    fi
     if ! docker ps --filter "name=qwen3-tts-clone" --filter "status=running" -q | grep -q .; then
         printf "✗  Clone-Container abgestürzt. Logs:
 " >&2
-        docker logs --tail=40 qwen3-tts-clone 2>&1 >&2 || true
+        docker logs --tail=20 qwen3-tts-clone 2>&1 >&2 || true
         exit 1
     fi
     sleep 2

scripts/start_tts.sh

@@ -2,7 +2,7 @@
 set -e
 cd "$(dirname "$0")/.."
 
-HEALTH_URL="http://localhost:8091/health"
+HEALTH_URL=""  # leer → nutzt docker inspect health status
 MAX_WAIT=180
 # .env aus dem Projektroot laden (nur falls Variable nicht schon im Shell-Env gesetzt)
 [ -f .env ] && source .env
@@ -59,13 +59,19 @@ LOG_PID=$!
 
 # --- Health-Check-Schleife ---
 while (( SECONDS - t0 < MAX_WAIT )); do
-    if curl -sf "$HEALTH_URL" >/dev/null 2>&1; then
+    STATUS=$(docker inspect qwen3-tts --format='{{.State.Health.Status}}' 2>/dev/null || true)
+    if [ "$STATUS" = "healthy" ]; then
         kill "$LOG_PID" 2>/dev/null
         wait "$LOG_PID" 2>/dev/null || true
-        printf "\n✓  Bereit: API http://localhost:8091  UI http://localhost:8092  WS-Log ws://localhost:8094/v1/audio/speech/stream  [%ds]\n" $(( SECONDS - t0 ))
+        printf "\n✓  Bereit: API ws://localhost:8091  UI http://localhost:8092  [%ds]\n" $(( SECONDS - t0 ))
         exit 0
     fi
-    # Abbruch wenn Container schon gestoppt ist
+    if [ "$STATUS" = "unhealthy" ]; then
+        kill "$LOG_PID" 2>/dev/null
+        printf "\n✗  Container unhealthy. Logs:\n"
+        docker logs --tail=20 qwen3-tts 2>&1 | strip_ansi | grep -E "ERROR|ValueError|Exception" | head -5
+        exit 1
+    fi
     if ! docker ps --filter "name=qwen3-tts" --filter "status=running" -q | grep -q .; then
         kill "$LOG_PID" 2>/dev/null
         printf "\n✗  Container abgestürzt. Logs:\n"