diff --git a/swanlab/data/run/exp.py b/swanlab/data/run/exp.py
index 14d17e6e..28d64a95 100644
--- a/swanlab/data/run/exp.py
+++ b/swanlab/data/run/exp.py
@@ -1,6 +1,6 @@
 from swanlab.data.modules import DataWrapper, Line
 from swanlab.log import swanlog
-from typing import Dict, Optional
+from typing import Dict, Optional, Callable, Any
 from swankit.env import create_time
 from swankit.callback import MetricInfo, ColumnInfo
 from .helper import SwanLabRunOperator
@@ -31,8 +31,8 @@ def __init__(self, settings: SwanLabSharedSettings, operator: SwanLabRunOperator
         # TODO 操作员不传递给实验
         self.__operator = operator
 
-    def add(self, key: str, data: DataWrapper, step: int = None) -> MetricInfo:
-        """记录一条新的tag数据
+    def __add(self, key: str, data: DataWrapper, step: int = None) -> MetricInfo:
+        """记录一条新的key数据
 
         Parameters
         ----------
@@ -85,6 +85,23 @@ def add(self, key: str, data: DataWrapper, step: int = None) -> MetricInfo:
         key_info.media_dir = self.settings.media_dir
         return key_info
 
+    def add(self, key: str, data: DataWrapper, step: int = None) -> MetricInfo:
+        """记录一条新的key数据
+        Parameters
+        ----------
+        key : str
+            key名称
+        data : DataWrapper
+            包装后的数据，用于数据解析
+
+        step : int, optional
+            步数，如果不传则默认当前步数为'已添加数据数量+1'
+            在log函数中已经做了处理，此处不需要考虑数值类型等情况
+        """
+        m = self.__add(key, data, step)
+        self.__operator.on_metric_create(m)
+        return m
+
     def warn_type_error(self, key: str):
         """警告类型错误
         执行此方法时需保证key已经存在
diff --git a/swanlab/data/run/main.py b/swanlab/data/run/main.py
index b6792c90..8f48e1df 100644
--- a/swanlab/data/run/main.py
+++ b/swanlab/data/run/main.py
@@ -323,7 +323,6 @@ def log(self, data: dict, step: int = None):
             # 数据类型的检查将在创建chart配置的时候完成，因为数据类型错误并不会影响实验进行
             metric_info = self.__exp.add(key=k, data=v, step=step)
             print(f'Corr exp = {self.__exp}')
-            self.__operator.on_metric_create(metric_info)
             log_return[metric_info.key] = metric_info
 
         return log_return