Local alternative
Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.
Details →★ 21,612
smoking-extraction-benchmark
Synthetic smoking-history extraction benchmark comparing TypeSafe Jev and OpenAI structured outputs, with reproducible accuracy, cost, and latency results.
Project facts
- Relationship to Jev
- Research
- Evidence
- Documented
- Language
- Python
- License
- Not reported; check the repository
- Origin
- Original repository
- Repository status
- Not archived
- Created
- 2026-09-18
- GitHub stars
- 0
- Evidence checked
- 2026-09-24T08:40:10.508Z
- Metadata checked
- 2026-09-24T08:40:10.508Z
- Check status
- current
Stars measure the whole repository, including work unrelated to Jev.
Evidence and scope
Documented records the linked documentation or source. JevHunt has not independently run or benchmarked this project.
Set `OPENAI_API_KEY` and `TYPESAFE_API_KEY` in your environment. Alternatively, copy `.env.example` to `.env`, fill it locally, and pass `--env-file .env`. Key files are gitignored; never commit them. The program does not accept keys on the command line or write authorization headers to outputs.
Evidence commit: d1a63b65de1ce06e19954aa941d7b4405e3a7811
Discovered through: github-search.
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