额度重置 · 质量问题修复

Astra 用户们好。一次重置，以及关于各处所发布的质量问题的简要更新。 在与你们中的一些人合作下，我们发现并修复了以下问题： - 一些为旧模型编写的技能触发过于频繁，或阻止模型检查自己的工作。 - 一个选择加入的上下文管理实验可能导致提前停止或回复较早的消息。我们已将其停用。我们粗略估计约有 4-5 千名用户受到该实验影响。 - 我们还移除了一些配置不当的引擎，它们导致流经这些引擎的长尾流量出现了可测量的质量下降。 我们还做了一些较小的改进，整体体验应该会明显好转。更一致的执行到底、更好地跟踪你最新的消息，以及在流程推进过程中更好地检查工作。 大家发布的示例以及所有直接与我们合作的用户，都为快速修复这些问题提供了极大帮助。始终感谢这个了不起的社区。 当然，一次重置也将在今天午夜前落地。

Hi Astra users. A reset and a quick update on quality issues that have been posted around. Working with some of you, we have found and fixed the following issues: - Some skills written for previous models were triggering too often or preventing the model from checking its work. - An opt-in context management experiment that could cause early stops or replies to older messages. We've disabled it. Our rough estimate is that 4-5k users were affected by this experiment. - We've also removed some badly configured engines that resulted in a measured quality degradation for a long tail of traffic flowing through them. We’ve also made some more minor improvements and things should feel significantly better across the board. More consistent follow-through, better tracking of your latest message, and better checks on the work as it’s going through the motions. The examples posted and all the users who worked directly with us were incredibly useful in helping fix things quickly. Always grateful for this incredible community. And of course, a reset is also landing by midnight today.

所有重置均已生效。做个好梦。

Reset all propagated. Sweet dreams.