language

prompt/guideline_prompt.md

@@ -138,3 +138,6 @@ If no guidelines apply, return an empty checks array:
   "checks": []
 }
 ```
+
+Rationale Text Language:
+{language}

prompt/preamble_prompt.md

@@ -70,7 +70,7 @@ For substantive requests and questions:
 
 Remember to wrap your entire response in ```json ... ``` tags.
 
-Preamble LANGAGE:
+Preamble Text Language:
 {language}
 
 You will now be given the current state of the interaction to which you must generate the next preamble message.

routes/chat.py

@@ -144,6 +144,7 @@ async def process_guidelines_and_terms(
                 guidelines_batch=batch,
                 chat_history=chat_history,
                 terms=terms_analysis,
+                language=language,
                 model_name=model_name,
                 api_key=api_key,
                 model_server=model_server

utils/fastapi_utils.py

@@ -551,7 +551,7 @@ async def call_preamble_llm(chat_history: str, last_message: str, preamble_choic
 
 
 
-async def call_guideline_llm(chat_history: str, guidelines_text: str, terms:str, model_name: str, api_key: str, model_server: str) -> str:
+async def call_guideline_llm(chat_history: str, guidelines_text: str, terms:str, language:str, model_name: str, api_key: str, model_server: str) -> str:
     """调用大语言模型处理guideline分析
 
     Args:
@@ -573,7 +573,7 @@ async def call_guideline_llm(chat_history: str, guidelines_text: str, terms:str,
         return ""
 
     # 替换模板中的占位符
-    system_prompt = guideline_template.replace('{chat_history}', chat_history).replace('{guidelines_text}', guidelines_text).replace('{terms}', terms)
+    system_prompt = guideline_template.replace('{chat_history}', chat_history).replace('{guidelines_text}', guidelines_text).replace('{terms}', terms).replace('{language}', get_language_text(language))
 
     # 配置LLM
     llm_config = {
@@ -616,6 +616,7 @@ async def process_guideline_batch(
     guidelines_batch: List[str],
     chat_history: str,
     terms: str,
+    language: str,
     model_name: str,
     api_key: str,
     model_server: str
@@ -628,7 +629,7 @@ async def process_guideline_batch(
             # 调用LLM分析这批guidelines
             batch_guidelines_text = "\n".join(guidelines_batch)
             logger.info(f"Start processed guideline batch on attempt {attempt + 1}")
-            batch_analysis = await call_guideline_llm(chat_history, batch_guidelines_text, terms, model_name, api_key, model_server)
+            batch_analysis = await call_guideline_llm(chat_history, batch_guidelines_text, terms, language, model_name, api_key, model_server)
 
             # 从响应中提取 ```json 和 ``` 包裹的内容
             json_pattern = r'```json\s*\n(.*?)\n```'