Instructor proposes typed decision models

This is a smart move from merely parsing LLM output to exposing bounded, probabilistic judgments—but it remains an RFC, not a shipped feature.

• –Pydantic schemas keep classification, moderation, and routing logic inside the application’s type system.
• –Probability distributions enable threshold-based escalation and human review instead of brittle yes/no parsing.
• –Shared context and parallel questions could consolidate multiple evaluation checks into one request.
• –The initial TypeSafe/Jev dependency limits provider flexibility compared with Instructor’s broader ecosystem.
• –API naming, confidence semantics, and calibration will need community scrutiny before production adoption.