I made a DuckDB extension where you can use @typesafeai 's Jev to do quick classification of rows in any csv/parquet file or duckdb table about 10sec for 1k rows ~ better than using an LLM, way more ergonomic than a classifier game-changing for data analysis!
jev-router
An OpenAI-compatible LiteLLM proxy where clients send one model id and Jev picks which configured model serves each request, with capability filtering and a cheapest-eligible fallback.
- Category
- Tools & Integrations
- Published by
- Community
- Author
- prismhq
- Added
- 2026-09-22
Highlights
- Clients point any OpenAI-compatible client at the proxy with model jev-router; the response model field reports which model served it.
- eligible() filters candidates in router.yaml on vision, output length, and tool support before any decision is made.
- Without a TYPESAFE_API_KEY a RulesDecider picks the cheapest eligible model, and any failure falls back to router.yaml's fallback.
- Transport is LiteLLM, so it can route across OpenRouter or any provider LiteLLM supports; you bring your own keys.
- Two files: config.yaml holds the LiteLLM pool and hook registration, router.yaml the candidate descriptions, capability flags, and prices.
Quickstart
pip install "litellm[proxy]" pyyaml
export OPENROUTER_API_KEY=YOUR_API_KEY
export TYPESAFE_API_KEY=YOUR_API_KEY # optional: enables Jev routing
litellm --config config.yaml --port 4000Watch out
MIT-licensed and experimental with changing APIs and config; needs LiteLLM plus an OpenRouter key, and Jev routing sends a minimized request summary to TypeSafe.
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