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jev-client

theroich/jev-client

CLI, TUI, web console and MCP server for the Jev classification API.

Classification & Routing0.87Runner-up: Infra / SDKs / IntegrationsQuestionnaire
Automated README summary

Automatically summarized from the README on 27 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A TypeScript command-line tool plus TUI, local web console and MCP server that send a state and typed questions to the Jev API (TypeSafe System One via OpenCode) and print one probabilistic answer per question.

How it uses Jev

Users pass a state (text, JSON object or array) and questions of type noul, choice or score; Jev returns one answer per question with probabilities. The CLI prints the chosen option, confidence and token cost, and saves each run to a shared local history.

Primitives:choicescorenoul

Technique worth stealing

Treating classification as typed questions (yes/no, pick-one, ordered score) against a shared state, with templates using {{key}} macros to reuse requests.

Try it

npx jev-client demo, or npm install -g jev-client then jev ask --state ... --noul ...

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.14.0
Project signals
jev-1.14.0
Category
jev-1.14.0
Pattern tags
jev-1.14.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectFound in material0.95
  • Shows a System One patternunclear0.59
  • Describes handling uncertaintynot found in the excerpt0.04
  • Reports measured numbersFound in material0.82
  • Is a runnable toolFound in material0.96
  • Top-10 learning shortlist signalunclear0.60
  • Is a replica of the modelnot found in the excerpt0.02
  • Solves a common problem (0–2)score on a 0–2 scale1.16 / 2
  • About JevFound in material0.99
Signals
Jev is core to the project0.95Shows a System One pattern0.59Describes handling uncertainty0.04Reports measured numbers0.82Is a runnable tool0.96Top-10 learning shortlist signal0.60Is a replica of the model0.0200.51Solves a common problem (0–2)1.16 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.9900.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 27 Oct 2026.