简化LLM模型路径管理。

src/voice_dialogue/config/llm_config.py

@@ -3,8 +3,17 @@
 from typing import Dict, Any
 
 from voice_dialogue.utils.apple_silicon import get_optimal_llama_cpp_config, get_apple_silicon_info
+from .paths import LLM_MODELS_PATH
+
+__all__ = (
+    'get_llm_model_params',
+    'get_apple_silicon_summary',
+    'CHINESE_SYSTEM_PROMPT',
+    'ENGLISH_SYSTEM_PROMPT',
+    'BUILTIN_LLM_MODEL_PATH',
+)
 
-__all__ = ('get_llm_model_params', 'get_apple_silicon_summary', 'CHINESE_SYSTEM_PROMPT', 'ENGLISH_SYSTEM_PROMPT')
+BUILTIN_LLM_MODEL_PATH = LLM_MODELS_PATH / 'qwen' / 'Qwen3-8B-Q6_K.gguf'
 
 CHINESE_SYSTEM_PROMPT = (
     "你是AI助手。请以自然流畅的中文口语化表达直接回答问题，避免冗余的思考过程。"

src/voice_dialogue/services/text/generator.py

@@ -6,8 +6,7 @@ from queue import Queue, Empty
 from langchain.memory import ConversationBufferWindowMemory
 from langchain_core.chat_history import InMemoryChatMessageHistory
 
-from voice_dialogue.config import paths
-from voice_dialogue.config.llm_config import get_llm_model_params, get_apple_silicon_summary
+from voice_dialogue.config.llm_config import get_llm_model_params, get_apple_silicon_summary, BUILTIN_LLM_MODEL_PATH
 from voice_dialogue.config.user_config import get_prompt
 from voice_dialogue.core.base import BaseThread
 from voice_dialogue.core.constants import chat_history_cache
@@ -203,7 +202,6 @@ class LLMResponseGenerator(BaseThread, TaskStatusMixin):
         self._send_sentence_to_queue(voice_task, sentence, answer_index)
 
     def run(self):
-        model_path = paths.LLM_MODELS_PATH / 'qwen' / 'Qwen3-8B-Q6_K.gguf'
 
         model_params = get_llm_model_params()
 
@@ -216,7 +214,7 @@ class LLMResponseGenerator(BaseThread, TaskStatusMixin):
         logger.info(f"配置说明: {chip_summary['config_note']}")
 
         self.model_instance = create_langchain_chat_llamacpp_instance(
-            local_model_path=model_path, model_params=model_params
+            local_model_path=BUILTIN_LLM_MODEL_PATH, model_params=model_params
         )
         # 使用默认中文 prompt 进行 warmup
         prompt = get_prompt("zh")

tests/test_llm_dialogue.py

@@ -12,8 +12,7 @@ lib_path = HERE / "src"
 if lib_path.exists() and lib_path.as_posix() not in sys.path:
     sys.path.insert(0, lib_path.as_posix())
 
-from voice_dialogue.config import paths
-from voice_dialogue.config.llm_config import get_llm_model_params
+from voice_dialogue.config.llm_config import get_llm_model_params, BUILTIN_LLM_MODEL_PATH
 from voice_dialogue.services.text.processor import create_langchain_pipeline
 
 CHINESE_SYSTEM_PROMPT = (
@@ -44,8 +43,7 @@ class TestLLMDialogue(unittest.TestCase):
         model_params = get_llm_model_params()
         self.history_store = {}
 
-        model_path = paths.LLM_MODELS_PATH / 'qwen' / 'Qwen3-8B-Q6_K.gguf'
-        self.langchain_instance = ChatLlamaCpp(model_path=model_path.as_posix(), **model_params)
+        self.langchain_instance = ChatLlamaCpp(model_path=BUILTIN_LLM_MODEL_PATH.as_posix(), **model_params)
 
         pipeline = create_langchain_pipeline(
             self.langchain_instance,