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Type-safe model router. Jev (System One) banks each request to a typed catalog route.
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CommunityJev Agents & MCP
Ailerix
Model router that never names a model: Jev classifies the task family, then a cost-per-task Pareto walk picks the cheapest frontier point clearing its quality floor.
- Stars
- 2
- Language
- TypeScript
- Published by
- Community
- Author
- tylerjharden
- Last verified
- Oct 2026
About this project
Type-safe model router. An OpenRouter competitor that uses TypeSafe Jev (System One) to classify every request, then walks an Artificial Analysis cost-per-task Pareto chain to bank a provider. You never name a model. The only public slug is ailerix/auto. An aileron banks an aircraft. Ailerix banks a request.
Quoted from the project's README. Read the full README.
Used inJev for Software & DevTools
- Languages
- TypeScript
Highlights
- Jev classifies task families only, seven of them, and never puts model ids into the routing questions.
- POST /api/v1/route returns aa_id, cost-per-task, the floor and reasons; ailerix/auto is the only slug completions accepts.
- Development runs on a checked-in Artificial Analysis fixture with no live scrape, and a local engine keeps the playground up without credentials.
- A Jev-compatible /api/v1/systemone endpoint exposes Choice, Score and Noul alongside an OpenAI-shaped chat completions route.
Watch out
This repo is a working slice of the product contract rather than the product: the dashboard is a mock, completions stay mocked until you add provider keys, and routing only reaches hosted Jev when TYPESAFE_API_KEY is set. Live Artificial Analysis ingest needs a commercial licence, so every frontier figure in development comes from a checked-in fixture. The domain notes, the isitagentready.com score and the OpenRouter feature-parity matrix are the author's own claims, not measurements. Copy reviewed against the repository README on 2026-10-04, not from running it.
Questions about this entry
Short answers drawn from the linked project or page.
A mock, for now. The repo ships the endpoints and the routing logic as a working slice, but completions stay mocked until you add provider keys. What runs for real is the classification step, and only when TYPESAFE_API_KEY is set, in which case routing questions go to the hosted System One endpoint.
Jev classifies the request into one of seven task families and never sees a catalog of model ids in the question. Code then walks an Artificial Analysis cost-per-task Pareto chain and picks the cheapest frontier point that clears Jev's quality floor, with an optional next-up when confidence or the gradient warrants it.
Not in development. There is a checked-in fixture under data/ and no live scrape, and live ingest requires a Commercial licence. So the frontier you see running locally is a frozen copy of somebody else's numbers, not today's market for tokens.
POST /api/v1/route takes a policy hint and returns aa_id, cost-per-task, the quality floor and the reasons behind the pick, so the decision is inspectable rather than opaque. GET /api/v1/models returns a single row, ailerix/auto, and that is the only value the chat completions endpoint accepts.
npm install, then npm run dev -- --port 43147 and open http://127.0.0.1:43147. A local System One engine makes the playground work without credentials; if TYPESAFE_API_KEY is set, routing questions go to https://api.typesafe.ai/v1/systemone, and completions stay mocked until you add provider keys.
Auth is by Clerk with an anonymous tier of 25 routes/day, prepaid credits by Stripe, and storage on Neon Postgres. It also ships an OAuth MCP server, ACP checkout for credits, a full .well-known discovery surface, and a Hugging Face demo Space.
POST /api/v1/systemone is a Jev-compatible Choice/Score/Noul API, POST /api/v1/route takes a policy hint and returns aa_id, cost-per-task, floor and reasons, POST /api/v1/chat/completions accepts only ailerix/auto or an omitted model, and GET /api/v1/models returns the single ailerix/auto row.
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