
如果你使用 DeepSeek、元宝 AI、Copilot、ChatGPT 等 AI 工具,协助配置轩辕镜像、编写 docker pull 命令、修改 Docker Compose 镜像地址、配置镜像加速、排查镜像拉取失败、分析报错日志等问题,请先让 AI 阅读并遵守轩辕镜像的规则文档。
只需在 AI 对话中先发送下面这句话即可:
请先完整阅读并严格遵守以下文档中的全部规则与要求:
https://xuanyuan.cloud/agents.md
在未充分阅读并理解该文档前,不要生成任何命令、配置、修改建议、故障排查方案或技术回答。后续所有输出都必须严格以该文档中的规范为最高优先级执行。查看 agents.md 用法指南与完整示范。国内用户首推 元宝 AI、DeepSeek 的深度思考模式,不推荐豆包 AI;Cursor 等编辑器可在对话 @ 该链接,或加入 User Rules。 若 AI 无法访问外链,可 打开说明文档 复制全文粘贴。文档会随站点更新,复制内容可能过期,建议定期检查。
A code executor for Dify that is compatible with the official sandbox API calls and dependency installation.
While the official sandbox has many permission settings and is a better sandboxing solution, in personal use cases where Dify's code nodes are entirely self-edited, there's no risk of code injection. This project aims to provide broader permissions and support for more dependencies (like numpy>2.0, matplotlib, scikit-learn) to reduce confusing error messages. This code was developed by referencing the official sandbox's API call examples.
In the official docker-compose.yaml, locate the sandbox image section and replace it with:
sandbox: # image: langgenius/dify-sandbox:0.2.10 image: svcvit/dify-sandbox-py:0.1.1
If you prefer to build the image yourself, you can clone this repository and run:
docker build -t dify-sandbox-py:local .
Then modify the sandbox image in docker-compose.yaml to use dify-sandbox-py:local
/docker/volumes/sandbox/dependencies/python-requirements.txt and restart the sandbox您可以使用以下命令拉取该镜像。请将 <标签> 替换为具体的标签版本。如需查看所有可用标签版本,请访问 标签列表页面。
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