与 TigerDatabase 的线上工作坊：用 Postgres 搭建智能体监控系统
AlphaSignal 和 TigerDatabase 开课，教你怎么用 Postgres 做智能体监控，把延迟、成本、报错这些数据真正管起来。
AlphaSignal 联合 TigerDatabase 举办工作坊，主题是构建智能体监控。内容覆盖如何把提示词、工具调用、延迟、token 消耗、错误、重试、成本和结果等运营数据落库。方案基于 Postgres 加时序数据存储，并演示如何扩展到同时运行数百到数千个智能体的团队规模。工作坊定位为智能体进入生产环境所需的基础设施层。
Your AI agents are generating a ton of operational data.
Prompts. Tool calls. Latency. Tokens. Errors. Retries. Cost. Outcomes.
The hard part is turning all of that into something you can actually monitor.
In our upcoming workshop with @TigerDatabase, we’ll show how to build an agent monitoring system on Postgres + time-series data, then scale it for teams running hundreds or thousands of agents.
If AI agents are moving into production, this is the infrastructure layer you’ll need.
Join us → https://t.co/3tBSWo6dL8
