[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

tests/test_pipeline_llm_tts.py

@@ -11,7 +11,7 @@ from owner_voice_pet.models import AudioFrame, ErrorCode, Message, PipelineState
 from owner_voice_pet.pipeline import VoicePipeline
 from owner_voice_pet.stt import MetadataSttProvider
 from owner_voice_pet.transport import MemoryAudioTransport
-from owner_voice_pet.tts import SentenceBuffer, SineTtsProvider
+from owner_voice_pet.tts import CloudTtsProvider, SentenceBuffer, SineTtsProvider
 from owner_voice_pet.vad import EnergyVadProvider, VadRecorder
 from owner_voice_pet.wakeword import KeywordWakeWordProvider
 
@@ -66,6 +66,36 @@ class PipelineLlmTtsTests(unittest.TestCase):
         self.assertGreater(len(segment.pcm), 0)
         self.assertGreater(segment.duration_ms, 0)
 
+    def test_cloud_tts_posts_speech_request(self) -> None:
+        class FakeResponse:
+            def __enter__(self):
+                return self
+
+            def __exit__(self, *args) -> None:
+                return None
+
+            def read(self) -> bytes:
+                return b"fake-mp3"
+
+        requests = []
+
+        def fake_urlopen(request, timeout):
+            requests.append(request)
+            return FakeResponse()
+
+        provider = CloudTtsProvider(
+            AppConfig(llm_api_key="secret", tts_model="mimo-v2.5-tts"),
+            urlopen=fake_urlopen,
+        )
+        provider.load()
+        segment = provider.synthesize("你好")
+
+        self.assertEqual(segment.metadata["format"], "mp3")
+        self.assertEqual(segment.pcm, b"fake-mp3")
+        body = json.loads(requests[0].data.decode())
+        self.assertEqual(body["model"], "mimo-v2.5-tts")
+        self.assertIn("/v1/audio/speech", requests[0].full_url)
+
     def test_pipeline_runs_from_wake_to_playback(self) -> None:
         frames = [
             frame(0, 0, {"wake_word": "小杰小杰", "wake_confidence": 0.95}),
@@ -136,7 +166,7 @@ class PipelineLlmTtsTests(unittest.TestCase):
             return FakeResponse()
 
         config = AppConfig(
-            llm_base_url="https://newapi.mkbk.shop",
+            llm_base_url="https://token-plan-cn.xiaomimimo.com/v1",
             llm_api_key="secret",
             llm_model="test-model",
             llm_api_style="chat_completions",
@@ -160,7 +190,7 @@ class PipelineLlmTtsTests(unittest.TestCase):
                 return json.dumps({"choices": [{"message": {"content": "非流式回复。"}}]}).encode()
 
         config = AppConfig(
-            llm_base_url="https://newapi.mkbk.shop",
+            llm_base_url="https://token-plan-cn.xiaomimimo.com/v1",
             llm_api_key="secret",
             llm_model="test-model",
             llm_api_style="chat_completions",