Mubit 读取你的 API 调用流量，训练你自有的小模型
Mubit 拿你智能体发 OpenAI/Anthropic 的重复调用，训出你自有小模型，一行代码换 base URL 就能用，省钱还更快。
Mubit 会读取智能体发给 OpenAI 或 Anthropic 的 API 调用，从中找出重复出现的任务，并用这些流量训练用户自己拥有的小模型。集成只需一行改动，替换 base URL 即可保留原有客户端代码，也可以直接接入已收集的 traces。公司称模型每隔几分钟刷新一次，两家公司用 Mubit 训练出的小模型各不相同，因为各自由自己的智能体流量塑造。范围外的任务仍路由给前沿大模型，改进沉淀在权重里而不是写在 prompt 中。
Your API calls are now training data you own, a great launch for owning your intelligence stack.
Mubit reads the calls your agents already send to OpenAI or Anthropic, finds the tasks that repeat, and trains small models that you own.
so you pay less and wait less while the big model handles the rest.
> The company says they refresh every few minutes. > The integration is one line. You swap the base URL and keep the same client code. If you’d rather not touch that, you can connect the traces you already collect. > I like is the split. Narrow, repeated work moves to a model trained on your own traffic. Anything outside those tasks still goes to the frontier model.
All these means, two companies on Mubit end up with different small models, because each is shaped by its own agents’ work.
Remembering feedback in the prompt is unpredictable. So what Mubit is doing that instead of putting lessons into the prompt, it trains small models on the tasks your agents repeat, so the improvement lives in the weights.
