
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。
This specialized agent provides additionally a working graphical session and comes equipped with a guaranteed compatible Chrome/Chromedriver couple. The graphical stack is built using Xvfb as a fully in-memory X-11 server.
No graphical components should be needed on the underlying machine servicing the Docker host and running the images.
The following pre-requisites are needed in order to perform the installation :
Follow the setup procedure from steps 2 to 8 in our documentation available https://squash-tf.readthedocs.io/projects/execution-server/en/doc-stable/admin/agent/agent-install.html#id2.
Run the Squash-TF-execution-agent image :
docker run --publish 5900:5900 --name demo-tf-agent --user jenkins --privileged --env "JENKINS_AGENT_NAME={agent_name}" --env "JENKINS_SECRET={secret}" squashtest/squash-tf-chrome-ui-execution-agent:{version} -url http://{jenkins_url} --x11-vnc-debug
The command should be understood as following :
Once done, the node should appear as online on the Jenkins interface and its build queue should be in “idle”.
The agent is now ready to execute its first Squash-TF tests.
Please consult our documentation https://squash-tf.readthedocs.io/projects/execution-server/en/doc-stable/admin/agent/agent-install.html#troubleshooting.
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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