# Openrouter Decisions

> Implement decision models through OpenRouter's Decisions API, which returns probabilities instead…

Implement decision models through OpenRouter's Decisions API, which returns probabilities instead of generated text: pick the primitive per judgment, build minimal state, write the questions, pin a model from the live catalog, gate in code, and probe thresholds on real inputs. Use when replacing a prompt-and-parse LLM call, a keyword or similarity heuristic, a human review queue, or a misfiring router, filter, or classifier with a decision model, when asked to find or implement decision-model use cases in an app or agent, and whenever decision models, Jev, TypeSafe, or System One come up. Covers routing, classification, moderation, guardrails, grounding checks, scoring, ranking, dedupe, escalation and approval gates, bounded extraction, and thresholds. Not for chat completions, text generation, or general OpenRouter setup.

- Page: https://ss33.ai/skills/openrouterteam/openrouter-decisions-36933647229
- Publisher: openrouterteam
- Category: [AI & Agents](https://ss33.ai/skills/category/ai-and-agents-y6jz7i) › [Model operations & inference](https://ss33.ai/skills/category/ai-and-agents-y6jz7i/model-operations-and-inference-uri762)
- Source: https://github.com/openrouterteam/skills/blob/33597a44e38b0cdc38ea1256ef8bcf50c2704e3d/skills/openrouter-decisions/SKILL.md

## Skill

This skill's licence does not allow redistribution, so the store does not serve its text. Get it from the author: https://github.com/openrouterteam/skills/blob/33597a44e38b0cdc38ea1256ef8bcf50c2704e3d/skills/openrouter-decisions/SKILL.md