# Routing Calibration

> Use when calibrating or validating a maintained routing recipe against live model backends, including probe manifests and evidence reports.

- Skill: `vllm-project/routing-calibration` (Agent Skill)
- Install (CLI): `npx skillmds@latest add vllm-project/routing-calibration`
- Raw SKILL.md: https://api.skillmd.com/api/skills/vllm-project/routing-calibration/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: vllm-project (https://skillmd.com/u/vllm-project)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/vllm-project/routing-calibration

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# Routing calibration

Use `tools/dev/router-calibration/router_calibration_loop.py` and the versioned
probe schema in `config/schemas/recipe-probes-v1.schema.json`. Keep recipe
changes in the local checkout; remote systems are validation mirrors only.

Treat endpoint credentials, hostnames, and private fleet details as secrets.
Before a live run, validate the probe manifest and identify the exact recipe,
backend, and rollback point. Record the evaluated inputs, outputs, and observed
quality rather than inferring success from process health.

Run `make check`, then `make verify DOMAIN=maintained-recipes` for live
recipe verification.