调整对应的调用

src/chat/planner_actions/action_manager.py

@@ -1,9 +1,10 @@
 from typing import Dict, Optional, Type
-from src.plugin_system.base.base_action import BaseAction
+
 from src.chat.message_receive.chat_stream import ChatStream
 from src.common.logger import get_logger
 from src.plugin_system.core.component_registry import component_registry
 from src.plugin_system.base.component_types import ComponentType, ActionInfo
+from src.plugin_system.base.base_action import BaseAction
 
 logger = get_logger("action_manager")
 

src/chat/planner_actions/action_modifier.py

@@ -5,7 +5,7 @@ import time
 from typing import List, Any, Dict, TYPE_CHECKING, Tuple
 
 from src.common.logger import get_logger
-from src.config.config import global_config
+from src.config.config import global_config, model_config
 from src.llm_models.utils_model import LLMRequest
 from src.chat.message_receive.chat_stream import get_chat_manager, ChatMessageContext
 from src.chat.planner_actions.action_manager import ActionManager
@@ -36,10 +36,7 @@ class ActionModifier:
         self.action_manager = action_manager
 
         # 用于LLM判定的小模型
-        self.llm_judge = LLMRequest(
-            model=global_config.model.utils_small,
-            request_type="action.judge",
-        )
+        self.llm_judge = LLMRequest(model_set=model_config.model_task_config.utils_small, request_type="action.judge")
 
         # 缓存相关属性
         self._llm_judge_cache = {}  # 缓存LLM判定结果
@@ -438,4 +435,4 @@ class ActionModifier:
             return True
         else:
             logger.debug(f"{self.log_prefix}动作 {action_name} 未匹配到任何关键词: {activation_keywords}")
-            return False
+            return False

src/chat/planner_actions/planner.py

@@ -7,7 +7,7 @@ from datetime import datetime
 from json_repair import repair_json
 
 from src.llm_models.utils_model import LLMRequest
-from src.config.config import global_config
+from src.config.config import global_config, model_config
 from src.common.logger import get_logger
 from src.chat.utils.prompt_builder import Prompt, global_prompt_manager
 from src.chat.utils.chat_message_builder import (
@@ -73,10 +73,7 @@ class ActionPlanner:
         self.log_prefix = f"[{get_chat_manager().get_stream_name(chat_id) or chat_id}]"
         self.action_manager = action_manager
         # LLM规划器配置
-        self.planner_llm = LLMRequest(
-            model=global_config.model.planner,
-            request_type="planner",  # 用于动作规划
-        )
+        self.planner_llm = LLMRequest(model_set=model_config.model_task_config.planner, request_type="planner")  # 用于动作规划
 
         self.last_obs_time_mark = 0.0
 
@@ -140,7 +137,7 @@ class ActionPlanner:
             # --- 调用 LLM (普通文本生成) ---
             llm_content = None
             try:
-                llm_content, (reasoning_content, _) = await self.planner_llm.generate_response_async(prompt=prompt)
+                llm_content, (reasoning_content, _, _) = await self.planner_llm.generate_response_async(prompt=prompt)
 
                 if global_config.debug.show_prompt:
                     logger.info(f"{self.log_prefix}规划器原始提示词: {prompt}")