Refactor `TestLLMDialogue` to use dynamic LLM model parameters

- Replace hardcoded `model_params` with `get_llm_model_params` from `llm_config.py`.
- Update imports to reflect changes in the configuration structure.

tests/test_llm_dialogue.py

@@ -7,7 +7,8 @@ from langchain_core.messages import SystemMessage
 from langchain_core.prompts import ChatPromptTemplate, HumanMessagePromptTemplate, MessagesPlaceholder
 from langchain_core.runnables.history import RunnableWithMessageHistory
 
-from config import paths
+from voice_dialogue.config import paths
+from voice_dialogue.config.llm_config import get_llm_model_params
 
 CHINESE_SYSTEM_PROMPT = (
     "你是善于模拟真实的思考过程的AI助手。"
@@ -29,17 +30,7 @@ ENGLISH_SYSTEM_PROMPT = (
 class TestLLMDialogue(unittest.TestCase):
 
     def setUp(self):
-        model_params = {
-            'n_ctx': 32768,
-            'temperature': 0.7,
-            'top_p': 0.9,
-            'top_k': 20,
-            'model_kwargs': {
-                'mini_p': 0,
-                'presence_penalty': 1.5
-            },
-            'verbose': False
-        }
+        model_params = get_llm_model_params()
         self.history_store = {}
 
         model_path = paths.LLM_MODELS_PATH / 'qwen' / 'Qwen3-8B-Q6_K.gguf'