面向用户自主 AI 的设备配置协议:目标绑定、局部修复与证据验收
Description
设备配置知识与设备执行能力通常由不同系统提供。知识服务能够返回正确资料,却不能由此推断用户设备已安装成功、流量路径符合要求或故障已经排除。本文以华润站设备配置工程书 v2.1 和梅林工程书 v1.0 为对象,将现有流程建模为目标绑定、来源核对、可恢复变更、局部修复和分项验收的协议。协议以用户自己的 AI 为执行主体,以只读 MCP 为知识来源,把单机成功与共享网络成功分别记录。本文给出过程状态和完成判据,说明它们与现有资源、查询和验证元数据的对应关系。该建模用于约束执行与报告的语义,不构成对任意代理、手机或路由器的通用自动控制实现。
This note formalizes the existing Fanqiang Guide engineering-book workflow around target-device binding, scoped authorization, recoverable changes, bounded repair, and evidence-based acceptance. The user's AI operates the target device, while a read-only MCP service supplies versioned reference material. The model distinguishes document validity, interface behavior, and observed device outcomes, including separate acceptance for shared connections. It specifies completion predicates and maps them to the current engineering books without treating the public MCP as a universal device controller.
Full text: publication page.
Notes
Files
device-setup-protocol.json
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References
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