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pi-typesafe-jev

legacybridge-tech/pi-typesafe-jev

Pi extension: TypeSafe Jev judgments as five pi tools.

Infra / SDKs / Integrations0.30Runner-up: Verification & GuardrailsQuestionnaireInspection
Automated README summary

Automatically summarized from the README on 20 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A pi extension that exposes TypeSafe (Jev, System One) judgments as five pi tools, letting a model make narrow semantic judgments while your code and users keep control of thresholds, weights, and actions.

How it uses Jev

The five tools (typesafe_noul, typesafe_choice, typesafe_score, typesafe_evaluate, typesafe_ask) POST directly to the System One endpoint with native fetch. Each tool returns a probability or distribution for the model to use; the model chooses the state and question, your code handles thresholds and actions.

Primitives:choicescorenoul

Technique worth stealing

Pin recurring rubrics in a YAML/JSON question file so the model only supplies per-call facts, not the criteria.

Try it

pi install npm:pi-typesafe-jev, then run /typesafe setup inside pi.

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 material0.93
  • Shows a System One patternFound in material0.90
  • Describes handling uncertaintynot found in the excerpt0.06
  • Reports measured numbersnot found in the excerpt0.04
  • Is a runnable toolFound in material0.94
  • Top-10 learning shortlist signalunclear0.40
  • Is a replica of the modelnot found in the excerpt0.15
  • Solves a common problem (0–2)score on a 0–2 scale1.24 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.93Shows a System One pattern0.90Describes handling uncertainty0.06Reports measured numbers0.04Is a runnable tool0.94Top-10 learning shortlist signal0.40Is a replica of the model0.1500.51Solves a common problem (0–2)1.24 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.98Inspection0.95Scorecard0.58Viewfinder0.55Fail open, fail closed0.51Question bank0.25Ghostwriter0.21Funnel0.2000.51

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 20 Sept 2026.