add arg -e

[youlingdada]

add arg -e

What is the purpose of the change

docker run error

Brief changelog

XXXXX

Follow this checklist to help us incorporate your contribution quickly and easily:

• Make sure there is a GITHUB_issue filed for the change (usually before you start working on it). Trivial changes like typos do not require a GITHUB issue. Your pull request should address just this issue, without pulling in other changes - one PR resolves one issue.
• Format the pull request title like Fix UnknownException when host config not exist #XXX. Each commit in the pull request should have a meaningful subject line and body.
• Write a pull request description that is detailed enough to understand what the pull request does, how, and why.
• Test your code locally by running npm run build, and make sure it works as expected.
• Make sure no files under build directory is added.
• If this contribution is large, please file an Apache Individual Contributor License Agreement.

[CLAassistant]

Thank you for your submission! We really appreciate it. Like many open source projects, we ask that you sign our Contributor License Agreement before we can accept your contribution.
_{You have signed the CLA already but the status is still pending? Let us recheck it.}

[lingma-agents]

添加 -e 参数并更新 Kubernetes 部署说明

变更概述

• 新功能

  • 在 Docker 运行命令中添加了多个 -e 环境变量参数，用于配置 Nacos 的鉴权功能，包括 NACOS_AUTH_ENABLE、NACOS_AUTH_TOKEN、NACOS_AUTH_IDENTITY_KEY 和 NACOS_AUTH_IDENTITY_VALUE。
  • 提供了开启鉴权的示例命令，增强了部署时的安全性与灵活性。

• 文档

  • 更新了 Kubernetes 部署部分的说明，明确指出当前不提供单例模式部署，推荐使用集群模式以确保生产环境的稳定性。

变更文件

文件路径	变更说明
src/​content/​docs/​latest/​zh-cn/​manual/​admin/​deployment/​deployment-standalone.​mdx	在 Docker 命令示例中新增了多个 `-e` 参数以支持 Nacos 鉴权配置，并更新了 Kubernetes 部署建议。

---

💡 小贴士

与 lingma-agents 交流的方式

📜 直接回复评论
直接回复本条评论，lingma-agents 将自动处理您的请求。例如：

• 在当前代码中添加详细的注释说明。

• 请详细介绍一下你说的 LRU 改造方案，并使用伪代码加以说明。

📜 在代码行处标记
在文件的特定位置创建评论并 @lingma-agents。例如：

• @lingma-agents 分析这个方法的性能瓶颈并提供优化建议。

• @lingma-agents 对这个方法生成优化代码。

📜 在讨论中提问
在任何讨论中 @lingma-agents 来获取帮助。例如：

• @lingma-agents 请总结上述讨论并提出解决方案。

• @lingma-agents 请根据讨论内容生成优化代码。