[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

tests/test_live_runtime.py

@@ -104,6 +104,9 @@ class LiveRuntimeTests(unittest.TestCase):
         self.assertEqual(len(transport.played_segments), 4)
         self.assertEqual(reporter.transcripts, ["第一问", "第二问"])
         self.assertIn("应答中：我在", reporter.statuses)
+        self.assertLess(reporter.statuses.index("唤醒命中"), reporter.statuses.index("应答中：我在"))
+        self.assertLess(reporter.statuses.index("应答中：我在"), reporter.statuses.index("请说出问题"))
+        self.assertLess(reporter.statuses.index("请说出问题"), reporter.statuses.index("录音中：正在听取问题"))
         self.assertIn("恢复待机：可继续唤醒", reporter.statuses[-1])
 
     def test_temporary_context_is_sent_to_second_llm_call(self) -> None:

tests/test_models_config.py

@@ -70,11 +70,11 @@ class ModelsConfigTests(unittest.TestCase):
             self.assertEqual(config.llm_api_key, "secret-value")
             self.assertEqual(config.llm_model, "test-model")
             self.assertEqual(config.wake_provider, "local_kws")
-            self.assertEqual(config.wake_kws_threshold, 0.25)
+            self.assertEqual(config.wake_kws_threshold, 0.15)
             self.assertEqual(config.wake_kws_score, 1.0)
             self.assertEqual(config.wake_ack_text, "我在")
-            self.assertEqual(config.post_playback_drain_ms, 250)
-            self.assertEqual(config.vad_provider, "local")
+            self.assertEqual(config.post_playback_drain_ms, 50)
+            self.assertEqual(config.vad_provider, "hybrid")
             self.assertEqual(config.vad_threshold, 0.5)
             self.assertEqual(config.vad_min_duration_ms, 250)
             self.assertEqual(config.vad_end_silence_ms, 350)
@@ -98,7 +98,7 @@ class ModelsConfigTests(unittest.TestCase):
         errors = config.validate_basic()
         self.assertTrue(any("OWNER_WAKE_PROVIDER" in error.message for error in errors))
 
-    def test_vad_provider_must_be_local_or_energy(self) -> None:
+    def test_vad_provider_must_be_hybrid_local_or_energy(self) -> None:
         config = AppConfig(vad_provider="invalid")
         errors = config.validate_basic()
         self.assertTrue(any("OWNER_VAD_PROVIDER" in error.message for error in errors))

tests/test_wake_vad_stt.py

@@ -7,7 +7,7 @@ import unittest
 from owner_voice_pet.models import AudioFrame, AudioSegment, ErrorCode, ProviderError
 from owner_voice_pet.config import AppConfig
 from owner_voice_pet.stt import CloudAsrSttProvider, MetadataSttProvider, SherpaOnnxSttProvider, is_valid_transcript_text
-from owner_voice_pet.vad import EnergyVadProvider, VadRecorder
+from owner_voice_pet.vad import EnergyVadProvider, HybridVadProvider, VadRecorder
 from owner_voice_pet.wakeword import (
     KeywordWakeWordProvider,
     MissingWakeWordModelProvider,
@@ -87,6 +87,30 @@ class WakeVadSttTests(unittest.TestCase):
         self.assertIsInstance(result, ProviderError)
         self.assertEqual(result.code, ErrorCode.VAD_TIMEOUT_NO_SPEECH)
 
+    def test_hybrid_vad_accepts_energy_fallback_speech(self) -> None:
+        class SilentVadProvider:
+            def __init__(self) -> None:
+                self.loaded = False
+
+            def load(self) -> None:
+                self.loaded = True
+
+            def analyze(self, frame: AudioFrame):
+                return type(
+                    "Result",
+                    (),
+                    {"is_speech": False, "confidence": 0.1, "speech_ms": 0, "silence_ms": 20},
+                )()
+
+            def reset(self) -> None:
+                return None
+
+        provider = HybridVadProvider(SilentVadProvider(), EnergyVadProvider())
+        provider.load()
+        result = provider.analyze(make_frame(1, 0, speech=True))
+        self.assertTrue(result.is_speech)
+        self.assertEqual(result.speech_ms, 20)
+
     def test_metadata_stt_transcribes_fixture_text(self) -> None:
         provider = MetadataSttProvider()
         provider.load()