Original Summary

TypeSafe's Jev landed this week and made one thing obvious: for structured decisions inside software — routing, scoring, yes/no gates — you don't need a model that writes you a paragraph and hopes you parse it right. You need one that returns a typed answer with a real probability attached. Schema-valid by construction. No hallucinated field. No regex. So I built the free, open kernel for that exact pattern: Specter Decision Engine. Here's what's actually in it — no fluff, real numbers: 🔥 8.3x faster — batches every question in a request against ONE encoding of your state instead of re-encoding per question. Measured, not marketed — it's in the repo's own benchmark script, run it yourself. 🔥 2.17x faster on duplicate questions — identical questions in a fan-out get deduped and scored once, automatically. 🔥 Real calibration, not vibes — temperature scaling, isotonic regression, Brier/NLL/ECE with bootstrap confidence intervals. "Confidence: 0.9" becomes a number you can actually audit. 🔥 Zero runtime dependencies — pure Python stdlib. No pip install, no version hell. 🔥 126 tests, green — the whole contract is covered, not just the happy path. 🔥 $0, forever — run it fully local with the included heuristic backend, or wire in your own model's logits, or drop in Jev's real API behind the exact same typed contract. Your call, not mine. The one thing I won't hype: there's no trained model bundled. The default backend is an honest lexical baseline, labeled as exactly that — it's there so you can kick the tires with zero setup. The intelligence is pluggable; the engineering underneath it is what's free. Not affiliated with TypeSafe. Just moved fast on an idea worth building. ⭐ Repo: https://github.com/aigodsend9-boop/specter-decision-engine   submitted by   /u/AIGODSEND [link]   [comments]

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  • 信息来源：Reddit · SideProject
  • 发布时间：2026/9/17 07:42:29