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jev-swap

0xjba/jev-swap · Homepage

Find LLM decision calls, convert to Jev, shadow-test on live traffic.

Infra / SDKs / Integrations0.26Runner-up: Evaluation & BenchmarkingFlight recorder
Automated README summary

Automatically summarized from the README on 13 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A CLI that scans TypeScript, JavaScript, or Python codebases for LLM calls that are really decisions, converts them to TypeSafe Jev modules, and shadow-tests them on recorded or live traffic to prove savings before swapping.

How it uses Jev

Jev replaces decision-type LLM calls (enum, boolean, small integer range, yes/no prompts). The scan finds candidates; convert generates a Jev module with decide() and a confidence-gated fallback. Shadow replays recorded inputs and LLM outputs through Jev to produce a report. The proxy mirrors live requests to Jev in parallel and shows agreement, latency, and savings.

Primitives:choicescorenoul

Technique worth stealing

Shadow-testing decision calls on recorded or live traffic before swapping, with a confidence-gated fallback.

Try it

npx jev-swap scan ./your-app, then convert, then shadow samples.jsonl --mock

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-1.13.0
Project signals
jev-1.13.0
Category
jev-1.13.0
Pattern tags
jev-1.13.0

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 material0.86
  • Shows a System One patternunclear0.48
  • Describes handling uncertaintynot found in the excerpt0.04
  • Reports measured numbersnot found in the excerpt0.04
  • Is a runnable toolFound in material0.98
  • Top-10 learning shortlist signalnot found in the excerpt0.27
  • Is a replica of the modelnot found in the excerpt0.04
  • Solves a common problem (0–2)score on a 0–2 scale1.22 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.86Shows a System One pattern0.48Describes handling uncertainty0.04Reports measured numbers0.04Is a runnable tool0.98Top-10 learning shortlist signal0.27Is a replica of the model0.0400.51Solves a common problem (0–2)1.22 / 2012

no-judgment band (0.40–0.60)

Design patterns
Flight recorder0.87Scorecard0.67Viewfinder0.58Funnel0.36Questionnaire0.32Check-up0.2300.51

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 13 Oct 2026.