全局配置
全局变量
全局变量配置之后可以在当前空间下的所有请求使用。具体使用方式详见变量的使用。
![全局样式](/docs/2024.3/assets/img/api20.44aa32d7.png)
- 添加变量: 添加一条变量
- +: 同
添加变量
- 保存: 保存变量
![全局样式](data:image/png;base64,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)
- ① 删除所在行变量
全局参数
全局参数配置之后会自动生效到当前空间下的所有请求之中。如该请求之中存在和全局参数同名的参数,则以请求中的为准。
![全局样式](/docs/2024.3/assets/img/api22.35047470.png)
- 添加参数: 添加一条参数,可添加参数类型
params
、header
、body
- +: 同
添加参数
- 保存: 保存全局参数
- 变量的加密显示与默认显示: 如
类型
选项选择加密,保存
后会变量的值会展示为***,反之则会展示填写的值。
参数配置
详见参数配置。