跨多台机器与多个模型商订阅的 AI Agent 统一编排与成本分层调度

来源证据

维护者自述开发动机：团队有多台机器和多个模型服务商订阅，却没有统一调度方式；希望判断型任务用高级模型、机械任务用便宜或本地模型，并运行无需人盯守的长任务，此前尝试的方案都不满足。

machines — laptops, build servers, VMs — and mixed providers, and keeps long unattended work alive. It started as a practical annoyance. One agent is easy. We had several machines, several provider subscriptions, and no sane way to use them together. We wanted premium models only where judgment matters (planning, review), cheap or local models for mechanical work, and long runs nobody has to babysit. Nothing we tried did that, so we built it. The idea I'd defend hardest: explore with agents,