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langgraph-decision-models

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INVOKE THIS SKILL when routing a LangGraph agent with a decision model (TypeSafe Jev, SemIf) instead of an LLM, or when auditing an existing agent for LLM calls that only produce a routing decision. Covers langchain-typesafe Noul/Choice/Score, reading answers correctly, threshold design, and LangSmith Gateway wiring.

config/skills/langgraph-decision-models/SKILL.md

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<overview>
A **decision model** answers typed questions about state and returns probabilities instead of prose. It replaces the common pattern of prompting an LLM, parsing its text, and branching on the result.

- **`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.
</overview>
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