增加缓存检查

src/common/tool_history.py

@@ -105,6 +105,34 @@ class ToolHistoryManager:
         except Exception as e:
             logger.error(f"记录工具调用时发生错误: {e}")
 
+    def find_cached_result(self, tool_name: str, args: Dict[str, Any]) -> Optional[Dict[str, Any]]:
+        """查找匹配的缓存记录
+        
+        Args:
+            tool_name: 工具名称
+            args: 工具调用参数
+            
+        Returns:
+            Optional[Dict[str, Any]]: 如果找到匹配的缓存记录则返回结果，否则返回None
+        """
+        # 检查是否启用历史记录
+        if not global_config.tool.history.enable_history:
+            return None
+            
+        # 清理输入参数中的敏感信息以便比较
+        sanitized_input_args = self._sanitize_args(args)
+        
+        # 按时间倒序遍历历史记录
+        for record in reversed(self._history):
+            if (record["tool_name"] == tool_name and 
+                record["status"] == "completed" and
+                record["ttl_count"] < record.get("ttl", 5)):
+                # 比较参数是否匹配
+                if self._sanitize_args(record["arguments"]) == sanitized_input_args:
+                    logger.info(f"工具 {tool_name} 命中缓存记录")
+                    return record["result"]
+        return None
+
     def _sanitize_args(self, args: Dict[str, Any]) -> Dict[str, Any]:
         """清理参数中的敏感信息"""
         sensitive_keys = ['api_key', 'token', 'password', 'secret']
@@ -297,6 +325,12 @@ def wrap_tool_executor():
     
     async def wrapped_execute_tool_call(self, tool_call, tool_instance=None):
         start_time = time.time()
+
+        # 首先检查缓存
+        if cached_result := history_manager.find_cached_result(tool_call.func_name, tool_call.args):
+            logger.info(f"{getattr(self, 'log_prefix', '')}使用缓存结果，跳过工具 {tool_call.func_name} 执行")
+            return cached_result
+
         try:
             result = await original_execute(self, tool_call, tool_instance)
             execution_time = time.time() - start_time