Building agent-ready database OKF knowledge packs with a Python compiler

On October 3, 2026, a post titled "Building an Agent-ready database OKF knowledge package: a Python compiler in practice" appeared on the Chinese developer platform Juejin. It addresses a specific problem that arises when AI agents write SQL on their own: supplying the database schema is often not enough. To generate accurate queries, the post argues, an agent also needs to understand business terminology such as metric definitions and risk conditions.

The approach it puts forward is to use a Python compiler to transform raw documentation — CREATE TABLE statements and column descriptions, for example — into an Agent-ready OKF knowledge package. The raw documents are the input; the compiled OKF package is the output, with "agent-ready" as the intended state.

That is as far as the report goes. It offers no detail on the compiler's implementation, no test or performance figures, and no feedback from anyone using the approach. As of this post, the idea remains a described method rather than a shipped or measured system.