# zhulinchng/jevper > A classification wrapper over OpenAI-compatible clients: instead of prose it returns typed questions (noul, choice, score) with probabilities and confidence. Works with any client exposing responses.create or chat.completions.create, including a self-hosted llama.cpp server. - Magnitude: 2.7 out of 10 — Early signal - Stars: 10 total · +10 stars today, ≈ 13 by evening - Star trust: star growth looks organic - Category: Language models · Language: Python · License: Apache-2.0 · Created: 2026-09-23 · Last push: 2026-09-23 - GitHub: https://github.com/zhulinchng/jevper · Page: https://gitnova.dev/en/r/zhulinchng/jevper ## Useful for - Classify support tickets by intent with probabilities via logprobs - Rate review sentiment on a Score scale with model confidence - Switch classification to a self-hosted llama.cpp server without code changes ## Why it’s here - 10 stars so far today, about 13 expected by the end of the day. - The repository is 0 days old and already has 10 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Hacker News: “Show HN: Jevper – the Jev interface on top of any OpenAI-compatible model” — 9 points, 5 h ago. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 1 - Issues and pull requests: 0 - Watchers: 0 - Average over the last week: 13 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 0 - Latest release: v0.2.2 (2026-09-23) ## Stars per day, last 4 days (oldest → newest, today is partial) 2026-09-20 … 2026-09-23: 0, 0, 0, 10 ## Hacker News - Show HN: Jevper – the Jev interface on top of any OpenAI-compatible model — 9 points, 3 comments: https://news.ycombinator.com/item?id=49815066 ## Spotted in now - Spotted on Hacker News ## Similar by description 1. **kshetrajna12/reflex** — 2.1 · Early signal · Language models · Python · +6 stars today, ≈ 8 by evening An open decision model: given a state (text, JSON, or image) and typed questions, it returns calibrated probabilities over fixed answer options. Runs on top of Qwen3.5 and answers with numbers instead of free text. Full card: https://gitnova.dev/en/r/kshetrajna12/reflex.md 2. **razorback16/openjev** — 3.6 · Early signal · Language models · Python · +35 stars today, ≈ 47 by evening An open-source "System One" decision server on DiffusionGemma: send a state and typed questions (yes/no, choice, score) and get probabilities plus confidence in tens of milliseconds, with no text generated. Wire-compatible with TypeSafe's… Full card: https://gitnova.dev/en/r/razorback16/openjev.md 3. **kraayenjon/awesome-jev** — 2.8 · Early signal · Learning & lists · +10 stars today, ≈ 14 by evening A curated list of resources for Jev, TypeSafe AI's System One model that returns typed decisions (Choice, Score, Noul) with calibrated probabilities instead of generated text. Aimed at developers integrating Jev into code. Full card: https://gitnova.dev/en/r/kraayenjon/awesome-jev.md 4. **receptron/laya** — 4.8 · Early signal · Language models · TypeScript · +33 stars today, ≈ 48 by evening TypeScript wrapper for running the open-source Laya System-1 decision model via ONNX Runtime: takes a state and typed questions, returns answers with calibrated probabilities in one forward pass. Full card: https://gitnova.dev/en/r/receptron/laya.md 5. **Rizzo-AI-Academy/rizzo-flow** — 4.9 · Early signal · Language models · Python · +31 stars today, ≈ 46 by evening A local-first implementation of the Jev idea: an LLM returns typed decisions (boolean, choice, score, numeric) with probabilities in a single forward pass, without generating tokens. Compatible with the TypeSafe HTTP API. Full card: https://gitnova.dev/en/r/Rizzo-AI-Academy/rizzo-flow.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-09-23 17:48 UTC, updated every 30 minutes.