AI Lesson & Submodule
Production Logging & Prompt Versioning
Log parsing failures and manage schema changes over model versions.
Why This Matters
Tracking schema failure rates maps structural reliability across model API updates.
What You Will Learn
- •Log parsing failures
- •Version templates
- •Monitor schema regressions
Concepts Covered
Error metrics logsSemantic versioningLog collectors
Mapped Foundation Project: Structured Output Validator
Schema validation validator enforcing structured JSON arrays on raw completions, with auto-retry loops on parse errors.
Architecture Preview
Middleware validation pipeline intercepting string outputs, checking them against schemas, and triggering correction loops on failure.
Unstructured OutputJSON Schema ValidatorZod Check Gate
Tech Stack Planned
TypeScriptZodReact
GitHub: Coming SoonLive Demo: Coming Soon
Coming SoonTechnical Interview Value
- ?Propose a schema version tracking design for logging prompt failures in DataDog