langgraph-decision-models

• Noul(instructions=...) — binary question, returns a probability of yes
• Choice(instructions=..., criteria={...}) — picks one label, returns the full distribution plus confidence
• Score(instructions=..., criteria=[...]) — grades against an ordered rubric, returns an expected value plus confidence

TypeSafeClassifier is a LangChain Runnable[ClassifierRequest, ClassifierResponse], so it drops into a node like any other runnable. Up to 32 questions share one request and are answered independently — your code combines them.

Reach for one when a node generates text only so you can parse a decision out of it: routing, triage, filtering, guardrails, or per-item classification over a batch.

Do not reach for one when the node's output is the product (summaries, drafts, code) or when the judgment needs multi-step reasoning. A decision model classifies; it does not think.

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Install and wire

langchain-typesafe is alpha (0.0.1a3) and TypeSafeClassifier is marked @beta — pin it and expect churn.