根据前端需求修改推荐问题的格式

app/api/chat/ai/chat_router.py

@@ -243,7 +243,7 @@ async def _handle_chat_request(
                         yield "\n\n### 您可能还想了解："
                         # 逐个返回推荐问题
                         for i, question in enumerate(recommended_questions, 1):
-                            yield f"\ndata: {i}. {question}"
+                            yield f"\ndata: {i}. {question}\n\n"
 
                 # async for chunk in handle_quick_question(inp, question_content):
                 #     yield f"data: {chunk}\n\n"

app/api/chat/ai/chat_service.py

@@ -258,7 +258,7 @@ async def ai_chat_stream(inp: ChatIn, conversation_history: list) -> AsyncGenera
                 yield "\n\n### 您可能还想了解："
                 # 逐个返回推荐问题
                 for i, question in enumerate(recommended_questions, 1):
-                    yield f"\n{i}. {question}"
+                    yield f"\n{i}. {question}\n\n"
         # 添加结束标记
         yield " "
         done_sent = True
@@ -346,7 +346,7 @@ async def gen_markdown_stream(msg: str, data: str, language: str, conversation_h
                 yield "\n\n### 您可能还想了解："
                 # 逐个返回推荐问题
                 for i, question in enumerate(recommended_questions, 1):
-                    yield f"\n{i}. {question}"
+                    yield f"\n{i}. {question}\n\n"
         # 添加结束标记
         yield " "
         done_sent = True
@@ -550,7 +550,7 @@ async def handle_quick_question(inp: ChatIn, question_content: str) -> AsyncGene
                 yield "\n\n### 您可能还想了解："
                 # 逐个返回推荐问题
                 for i, question in enumerate(recommended_questions, 1):
-                    yield f"\n{i}. {question}"
+                    yield f"\n{i}. {question}\n\n"
         # 添加结束标记
         yield " "
     except Exception as e:
@@ -570,7 +570,6 @@ async def generate_recommended_questions(user_msg: str, ai_response: str) -> lis
     2. 问题应具有探索性，引导用户深入了解
     3. 用简洁明了的中文表达
     4. 只返回问题列表，每个问题占一行，不添加编号和其他内容
-    5. 每个问题使用固定的格式：{{问题}}\\n
     """
 
     try: