使Tool支持读取配置文件，优化了开始执行工具调用时的日志输出

src/plugin_system/apis/tool_api.py

@@ -10,9 +10,12 @@ logger = get_logger("tool_api")
 def get_tool_instance(tool_name: str) -> Optional[BaseTool]:
     """获取公开工具实例"""
     from src.plugin_system.core import component_registry
+    # 获取插件配置
+    plugin_name =component_registry.get_component_info(tool_name, ComponentType.TOOL).plugin_name
+    plugin_config = component_registry.get_plugin_config(plugin_name)
 
     tool_class: Type[BaseTool] = component_registry.get_component_class(tool_name, ComponentType.TOOL)  # type: ignore
-    return tool_class() if tool_class else None
+    return tool_class(plugin_config) if tool_class else None
 
 
 def get_llm_available_tool_definitions():

src/plugin_system/base/base_tool.py

@@ -1,5 +1,5 @@
 from abc import ABC, abstractmethod
-from typing import Any, List, Tuple
+from typing import Any, List, Optional, Tuple
 from rich.traceback import install
 
 from src.common.logger import get_logger
@@ -29,6 +29,9 @@ class BaseTool(ABC):
     available_for_llm: bool = False
     """是否可供LLM使用"""
 
+    def __init__(self, plugin_config: Optional[dict] = None):
+        self.plugin_config = plugin_config or {}  # 直接存储插件配置字典
+
     @classmethod
     def get_tool_definition(cls) -> dict[str, Any]:
         """获取工具定义，用于LLM工具调用
@@ -89,3 +92,28 @@ class BaseTool(ABC):
                 raise ValueError(f"工具类 {self.__class__.__name__} 缺少必要参数: {param_name}")
 
         return await self.execute(function_args)
+
+    def get_config(self, key: str, default=None):
+        """获取插件配置值，使用嵌套键访问
+
+        Args:
+            key: 配置键名，使用嵌套访问如 "section.subsection.key"
+            default: 默认值
+
+        Returns:
+            Any: 配置值或默认值
+        """
+        if not self.plugin_config:
+            return default
+
+        # 支持嵌套键访问
+        keys = key.split(".")
+        current = self.plugin_config
+
+        for k in keys:
+            if isinstance(current, dict) and k in current:
+                current = current[k]
+            else:
+                return default
+
+        return current

src/plugin_system/core/tool_use.py

@@ -148,8 +148,11 @@ class ToolExecutor:
         if not tool_calls:
             logger.debug(f"{self.log_prefix}无需执行工具")
             return [], []
-
+        
-        logger.info(f"{self.log_prefix}开始执行工具调用: {tool_calls}")
+        # 提取tool_calls中的函数名称
+        func_names = [call.func_name for call in tool_calls if call.func_name]
+        
+        logger.info(f"{self.log_prefix}开始执行工具调用: {func_names}")
 
         # 执行每个工具调用
         for tool_call in tool_calls: