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jev-orchestrator

milan6190/jev-orchestrator

Workflow orchestration for System One models: batch, gate, trace, calibrate typed Jev decisions.

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

jev-orchestrator is a Python library for developers building multi-stage AI workflows with Jev, the TypeSafe System One model. It batches concurrent typed decisions into single requests, gates on confidence, traces decisions, and calibrates thresholds.

How it uses Jev

Jev makes typed decisions (Choice, Score, Noul) on a given state. The engine merges concurrent asks into one request, deduplicates identical questions, and returns calibrated probabilities. Code uses confidence gates like or_else, require, shortlist, at_least, and below to route or escalate decisions.

Primitives:choicescorenoul

Technique worth stealing

Batch independent decisions into one Jev call; use confidence gates to automate only what is safe.

Try it

pip install jev-orchestrator; jev demo (offline, no API key needed)

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 material0.76
  • Describes handling uncertaintynot found in the excerpt0.07
  • Reports measured numbersnot found in the excerpt0.04
  • Is a runnable toolFound in material0.76
  • Top-10 learning shortlist signalnot found in the excerpt0.20
  • Is a replica of the modelnot found in the excerpt0.07
  • Solves a common problem (0–2)score on a 0–2 scale1.04 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.93Shows a System One pattern0.76Describes handling uncertainty0.07Reports measured numbers0.04Is a runnable tool0.76Top-10 learning shortlist signal0.20Is a replica of the model0.0700.51Solves a common problem (0–2)1.04 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.99Traffic light0.91Check-up0.88Funnel0.86Flight recorder0.79Scorecard0.78Grey zone0.57Prefetch0.2200.51

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.