How are you handling financial controls for autonomous AI agents?

你是如何处理自主 AI 智能体的财务控制问题的？

As agents start using paid APIs, browsers, and external services, the control problem becomes very real. 随着智能体开始使用付费 API、浏览器和外部服务，控制问题变得非常现实。

Most teams are currently stuck between two bad options: Give the agent direct access to payment methods and hope it doesn’t do something expensive; Require human approval for every paid action and lose most of the autonomy benefit. 大多数团队目前陷入了两种糟糕的选择之间：要么让智能体直接访问支付方式，并祈祷它不会造成高额开支；要么要求对每一项付费操作进行人工审批，从而丧失大部分自主性带来的优势。

Writing custom guardrails in code helps at first, but they’re difficult to audit and tend to break as prompts and agent behavior evolve. 在代码中编写自定义防护栏（guardrails）起初会有所帮助，但它们难以审计，且随着提示词和智能体行为的演变，往往容易失效。

What seems to be missing is proper infrastructure at the financial layer — things like per-agent balances, hard spending limits that the model cannot override, clear audit trails, and policy enforcement that lives outside the agent itself. 目前似乎缺失的是金融层面的基础设施——例如针对每个智能体的余额管理、模型无法覆盖的硬性支出限额、清晰的审计追踪，以及独立于智能体之外的策略执行机制。

How are other people solving this in practice? 其他人是如何在实践中解决这个问题的呢？

We built an early version of this kind of infrastructure and would really value feedback from developers who are actually shipping agentic products: https://valta.co 我们构建了此类基础设施的早期版本，非常希望能收到那些正在发布智能体产品的开发者的反馈：https://valta.co