fix：修复合并问题

src/chat/focus_chat/info_processors/chattinginfo_processor.py

@@ -27,7 +27,7 @@ class ChattingInfoProcessor(BaseProcessor):
         """初始化观察处理器"""
         super().__init__()
         # TODO: API-Adapter修改标记
-        self.llm_summary = LLMRequest(
+        self.model_summary = LLMRequest(
             model=global_config.model.observation, temperature=0.7, max_tokens=300, request_type="chat_observation"
         )
 
@@ -94,7 +94,7 @@ class ChattingInfoProcessor(BaseProcessor):
     async def chat_compress(self, obs: ChattingObservation):
         if obs.compressor_prompt:
             try:
-                summary_result, _, _ = await self.llm_summary.generate_response(obs.compressor_prompt)
+                summary_result, _, _ = await self.model_summary.generate_response(obs.compressor_prompt)
                 summary = "没有主题的闲聊"  # 默认值
                 if summary_result:  # 确保结果不为空
                     summary = summary_result

src/chat/focus_chat/info_processors/self_processor.py

@@ -49,8 +49,8 @@ class SelfProcessor(BaseProcessor):
         self.subheartflow_id = subheartflow_id
 
         self.llm_model = LLMRequest(
-            model=global_config.llm_sub_heartflow,
-            temperature=global_config.llm_sub_heartflow["temp"],
+            model=global_config.model.sub_heartflow,
+            temperature=global_config.model.sub_heartflow["temp"],
             max_tokens=800,
             request_type="self_identify",
         )

src/chat/focus_chat/info_processors/working_memory_processor.py

@@ -61,8 +61,8 @@ class WorkingMemoryProcessor(BaseProcessor):
         self.subheartflow_id = subheartflow_id
 
         self.llm_model = LLMRequest(
-            model=global_config.llm_sub_heartflow,
-            temperature=global_config.llm_sub_heartflow["temp"],
+            model=global_config.model.sub_heartflow,
+            temperature=global_config.model.sub_heartflow["temp"],
             max_tokens=800,
             request_type="working_memory",
         )
@@ -118,7 +118,7 @@ class WorkingMemoryProcessor(BaseProcessor):
 
         # 使用提示模板进行处理
         prompt = (await global_prompt_manager.get_prompt_async("prompt_memory_proces")).format(
-            bot_name=global_config.BOT_NICKNAME,
+            bot_name=global_config.bot.nickname,
             time_now=time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()),
             chat_observe_info=chat_info,
             memory_str=memory_choose_str,