codex 里的 agent 之前全跑 Astra/high，用量烧得很快。GPT-6 的 Sol 和 Luna 出来以后， 我拿七种模型和 effort 组合在真实 repo 上跑了三轮：自己的 monorepo、工作上三个 repo 的跨项目题、 还有盲测复现历史 PR。代码能写对的比想象中多，但在 agent 自己的集成 runner 里把真实调用路径也跑通的少很多， 好几份自测全绿的提交其实没修好。文末是最后定下来的分工表和几个派活规则。

Every Codex agent I ran was on Astra/high, and usage burned fast. When GPT-6 Sol and Luna landed, I had seven model and effort combinations run through three rounds on real repos: my own monorepo, cross-project tasks in three work repos, and blind replays of historical PRs. More routes wrote correct code than I expected; far fewer also got the real caller path passing in their own integration runner, and several submissions with green self-tests weren't actually fixed. The final routing table and delegation rules are at the end.