[唤醒灵敏度与端点恢复]：完成唤醒提示顺序和Hybrid VAD优化，包含阈值默认值、缓冲时序和测试覆盖

src/owner_voice_pet/runtime.py

@@ -12,7 +12,7 @@ from .protocols import AudioTransport, LlmProvider, SttProvider, TtsProvider, Wa
 from .stt import CloudAsrSttProvider, SherpaOnnxSttProvider, is_valid_transcript_text
 from .transport import SoundDeviceAudioTransport
 from .tts import CloudTtsProvider, MacSayTtsProvider, SentenceBuffer
-from .vad import EnergyVadProvider, SherpaOnnxVadProvider, VadRecorder
+from .vad import EnergyVadProvider, HybridVadProvider, SherpaOnnxVadProvider, VadRecorder
 from .wakeword import SherpaOnnxKeywordWakeWordProvider
 
 
@@ -145,10 +145,11 @@ class LiveVoiceRuntime:
         wake_error = self._wait_for_local_wake(turn_id)
         if wake_error is not None:
             return wake_error
-        self._state(PipelineState.SPEECH_DETECTING, "唤醒命中：请说出问题", turn_id=turn_id)
+        self._state(PipelineState.SPEECH_DETECTING, "唤醒命中", turn_id=turn_id)
         ack_error = self._acknowledge_wake(turn_id)
         if ack_error is not None:
             return ack_error
+        self._state(PipelineState.SPEECH_DETECTING, "请说出问题", turn_id=turn_id)
         user_segment = self._capture_segment(turn_id, state_message="录音中：正在听取问题")
         if isinstance(user_segment, ProviderError):
             return user_segment
@@ -277,7 +278,12 @@ def build_live_runtime(config: AppConfig, reporter: RuntimeReporter | None = Non
     else:
         stt = SherpaOnnxSttProvider(str(config.speech_models_dir))
         tts = MacSayTtsProvider()
-    if config.vad_provider == "local":
+    if config.vad_provider == "hybrid":
+        vad_provider = HybridVadProvider(
+            SherpaOnnxVadProvider(config.speech_models_dir, threshold=config.vad_threshold),
+            EnergyVadProvider(),
+        )
+    elif config.vad_provider == "local":
         vad_provider = SherpaOnnxVadProvider(config.speech_models_dir, threshold=config.vad_threshold)
     else:
         vad_provider = EnergyVadProvider()