diff --git a/AIGC/main.py b/AIGC/main.py
index b754423..fe84656 100644
--- a/AIGC/main.py
+++ b/AIGC/main.py
@@ -15,7 +15,7 @@ from Utils.AIGCLog import AIGCLog
 from ollama import Client, ResponseError
 
 app = FastAPI(title = "AI 通信服务")
-logger = AIGCLog(name = "AIGC", log_file = "./Log/aigc.log")
+logger = AIGCLog(name = "AIGC", log_file = "aigc.log")
 
 parser = argparse.ArgumentParser()
 parser.add_argument('--model', type=str, default='deepseek-r1:1.5b', 
@@ -31,12 +31,13 @@ lastPrompt = ""
 ollamaClient = Client(host='http://localhost:11434')
 
 async def heartbeat(websocket: WebSocket):
-    while True:
-        await asyncio.sleep(30)  # 每30秒发送一次心跳
-        try:
-           await senddata(websocket, 0, [])
-        except ConnectionClosed:
-            break  # 连接已关闭时退出循环
+    pass
+    # while True:
+    #     await asyncio.sleep(30)  # 每30秒发送一次心跳
+    #     try:
+    #        await senddata(websocket, 0, [])
+    #     except ConnectionClosed:
+    #         break  # 连接已关闭时退出循环
 
 #statuscode -1 服务器运行错误 0 心跳标志 1 正常 2 输出异常
 async def senddata(websocket: WebSocket, statusCode: int, messages: List[str]):
@@ -63,6 +64,7 @@ async def websocket_endpoint(websocket: WebSocket, client_id: str):
             data = await websocket.receive_text()
             logger.log(logging.INFO, f"收到UE5消息 [{client_id}]: {data}")
             success, prompt = process_prompt(data)
+            global lastPrompt
             lastPrompt = prompt
             # 调用AI生成响应
             if(success):
@@ -175,7 +177,7 @@ async def generateAIChat(prompt: str, websocket: WebSocket):
     match = re.search(pattern, think_remove_text, re.DOTALL)
     
     if not match:
-        if await reGenerateAIChat(prompt, websocket):
+        if await reGenerateAIChat(lastPrompt, websocket):
             pass
         else:
             logger.log(logging.ERROR, "请更换prompt，或者升级模型大小")
@@ -183,9 +185,9 @@ async def generateAIChat(prompt: str, websocket: WebSocket):
         
     else:
         core_dialog = match.group(1).strip()
-        dialog_lines = core_dialog.split('\n')
+        dialog_lines = [line for line in core_dialog.split('\n') if line.strip()]
         if len(dialog_lines) != 4:
-            if await reGenerateAIChat(prompt, websocket):
+            if await reGenerateAIChat(lastPrompt, websocket):
                 pass
             else:
                 logger.log(logging.ERROR, "请更换prompt，或者升级模型大小")
@@ -204,6 +206,7 @@ async def reGenerateAIChat(prompt: str, websocket: WebSocket):
         logger.log(logging.ERROR, f"AI输出格式不正确，重新进行生成 {regenerateCount}/{maxAIRegerateCount}")
         await senddata(websocket, 2, messages=["ai生成格式不正确， 重新进行生成"])
         await asyncio.sleep(0)
+        prompt = prompt + "补充：上一次的输出格式错误，严格执行prompt中第5条的输出格式要求"
         await generateAIChat(prompt, websocket)
         return True
     else: