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Databricks 示例：用 Temporal 与 Lakebase Postgres 构建可长期存活的云智能体
精选理由
Databricks 出了个示例项目，用 Temporal 加 Lakebase Postgres 让智能体在容器重启后还能接着跑，人工审核隔几天补上也行。
Databricks 发布了一套参考实现，将 Temporal 与 Lakebase Postgres 组合来构建云智能体。智能体的运行状态可以超过发起它的请求、worker、容器或部署的生命周期。已记录的工作在 worker 被替换后依然存活，证据与审核状态保持可查询，人工决策可以延迟数天再处理。Unity Catalog 通过同步表继续充当受管策略来源。
原文 · Databricks
A cloud agent may outlive the request, worker, container or deployment that started it.
This reference implementation pairs Temporal with Lakebase Postgres so recorded work survives worker replacement, evidence and review state stay queryable, and human decisions can arrive days later. Unity Catalog remains the governed policy source through synced tables.
See how to build it: https://t.co/NgkxCHXEOb