[Wake/VAD/STT 与 Live runtime]：完成真实重复语音运行，包含云端ASR/TTS开关、run-live和临时上下文测试

src/owner_voice_pet/cli.py

@@ -12,11 +12,12 @@ from .conversation import ConversationContext
 from .llm import MockLlmProvider, OpenAICompatibleLlmProvider
 from .models import AudioFrame, ProviderError
 from .pipeline import VoicePipeline
+from .runtime import build_live_runtime
 from .speech_models import check_speech_models, model_status_errors
-from .stt import MetadataSttProvider
+from .stt import MetadataSttProvider, SherpaOnnxSttProvider
 from .transport import MemoryAudioTransport, sounddevice_device_report
 from .tts import SineTtsProvider
-from .vad import EnergyVadProvider, VadRecorder
+from .vad import EnergyVadProvider, SherpaOnnxVadProvider, VadRecorder
 from .wakeword import KeywordWakeWordProvider
 
 
@@ -31,6 +32,8 @@ def main(argv: list[str] | None = None) -> int:
     model_check = subparsers.add_parser("model-check", help="Validate local speech model files")
     model_check.add_argument("--models-dir", default=None, help="Speech models directory. Defaults to .env or models")
     subparsers.add_parser("device-check", help="Validate local microphone and speaker availability")
+    live = subparsers.add_parser("run-live", help="Run real repeated live voice conversation")
+    live.add_argument("--once", action="store_true", help="Run one completed live turn and exit")
     smoke = subparsers.add_parser("llm-smoke", help="Call configured OpenAI/NewAPI endpoint")
     smoke.add_argument("--message", default="用一句中文回复：小杰在线。")
     smoke.add_argument("--no-stream", action="store_true")
@@ -50,6 +53,10 @@ def main(argv: list[str] | None = None) -> int:
                     "llm_stream": config.llm_stream,
                     "llm_api_key_present": bool(config.llm_api_key),
                     "asset_dir": str(config.asset_dir),
+                    "speech_provider": config.speech_provider,
+                    "asr_model": config.asr_model,
+                    "tts_model": config.tts_model,
+                    "tts_voice": config.tts_voice,
                     "speech_models_dir": str(config.speech_models_dir),
                 },
                 ensure_ascii=False,
@@ -73,8 +80,17 @@ def main(argv: list[str] | None = None) -> int:
         models_dir = Path(args.models_dir) if args.models_dir else config.speech_models_dir
         status = check_speech_models(models_dir, require_sherpa=True)
         errors = model_status_errors(status)
+        provider_load_checked = False
+        if not errors:
+            try:
+                SherpaOnnxVadProvider(models_dir).load()
+                SherpaOnnxSttProvider(str(models_dir)).load()
+                provider_load_checked = True
+            except ProviderError as exc:
+                errors.append(exc)
         data = status.to_json()
         data["errors"] = [str(error) for error in errors]
+        data["provider_load_checked"] = provider_load_checked
         print(json.dumps(data, ensure_ascii=False, sort_keys=True))
         return 1 if errors else 0
 
@@ -83,6 +99,15 @@ def main(argv: list[str] | None = None) -> int:
         print(json.dumps(report, ensure_ascii=False, sort_keys=True))
         return 0 if report["ok"] else 1
 
+    if args.command == "run-live":
+        config = AppConfig.from_dotenv(args.env_file)
+        try:
+            summary = build_live_runtime(config).run(once=args.once)
+        except ProviderError as exc:
+            print(json.dumps({"ok": False, "code": exc.code.value, "message": exc.message}, ensure_ascii=False, sort_keys=True))
+            return 1
+        return 0 if summary.completed_turns > 0 or summary.interrupted else 1
+
     if args.command == "acceptance":
         result = run_acceptance()
         print(json.dumps(result, ensure_ascii=False, sort_keys=True))
@@ -104,6 +129,10 @@ def main(argv: list[str] | None = None) -> int:
                 audio_output_device=config.audio_output_device,
                 asset_dir=config.asset_dir,
                 log_dir=config.log_dir,
+                speech_provider=config.speech_provider,
+                asr_model=config.asr_model,
+                tts_model=config.tts_model,
+                tts_voice=config.tts_voice,
                 speech_models_dir=config.speech_models_dir,
                 context_max_messages=config.context_max_messages,
                 context_max_chars=config.context_max_chars,
@@ -155,7 +184,7 @@ def run_acceptance() -> dict[str, object]:
 
 def find_secret_leaks(root: Path) -> list[str]:
     completed = subprocess.run(["git", "ls-files"], cwd=root, check=True, stdout=subprocess.PIPE, text=True)
-    pattern = re.compile(r"sk-[A-Za-z0-9_\\-]{16,}")
+    pattern = re.compile(r"(?:sk|tp)-[A-Za-z0-9_\\-]{16,}")
     leaks: list[str] = []
     for rel in completed.stdout.splitlines():
         path = root / rel