fix:V3哈气

src/heart_flow/mai_state_manager.py

@@ -8,8 +8,8 @@ from src.plugins.moods.moods import MoodManager
 logger = get_logger("mai_state")
 
 
-# enable_unlimited_hfc_chat = True
-enable_unlimited_hfc_chat = False
+enable_unlimited_hfc_chat = True
+# enable_unlimited_hfc_chat = False
 
 
 class MaiState(enum.Enum):

src/plugins/heartFC_chat/heartFC_chat.py

@@ -762,9 +762,15 @@ class HeartFChatting:
             # 执行LLM请求
 
             try:
+                print("prompt")
+                print("prompt")
+                print("prompt")
+                print(payload)
+                print(prompt)
                 response = await self.planner_llm._execute_request(
                     endpoint="/chat/completions", payload=payload, prompt=prompt
                 )
+                print(response)
             except Exception as req_e:
                 logger.error(f"{self.log_prefix}[Planner] LLM请求执行失败: {req_e}")
                 return {
@@ -779,6 +785,9 @@ class HeartFChatting:
             # 处理LLM响应
             with Timer("使用工具", cycle_timers):
                 # 使用辅助函数处理工具调用响应
+                print(1111122222222222)
+                print(response)
+                
                 success, arguments, error_msg = process_llm_tool_response(
                     response, expected_tool_name="decide_reply_action", log_prefix=f"{self.log_prefix}[Planner] "
                 )

src/plugins/utils/json_utils.py

@@ -213,6 +213,9 @@ def process_llm_tool_calls(response: List[Any], log_prefix: str = "") -> Tuple[b
         元组 (成功标志, 工具调用列表, 错误消息)
     """
     # 确保响应格式正确
+    print(response)
+    print(11111111111111111)
+    
     if len(response) != 3:
         return False, [], f"LLM响应元素数量不正确: 预期3个元素，实际{len(response)}个"