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camunda-jev-ai-decision-connector

rajeshponna/camunda-jev-ai-decision-connector

Typed AI decisions in BPMN with Jev by TypeSafe AI.

Automated README summary

Automatically summarized from the README on 29 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A community Camunda 8 connector that lets BPMN processes make fast, typed AI decisions with Jev by TypeSafe AI: pick the best option, find all matches, or ask custom questions over lists of any size.

How it uses Jev

The connector sends state plus typed questions (noul, choice, score) to Jev and returns calibrated probabilities. Results are exposed as process variables such as jev.selection.id, jev.selection.top, jev.filter.matches, and jev.answers.*, which gateways and ad-hoc sub-processes can use directly.

Primitives:choicescorenoul

Technique worth stealing

Tournament across groups for choice questions, so lists larger than 255 options still work.

Try it

mvn clean package, then deploy the jar to a Camunda 8.9 connectors runtime.

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 material0.96
  • Shows a System One patternunclear0.47
  • Describes handling uncertaintynot found in the excerpt0.06
  • Reports measured numbersnot found in the excerpt0.07
  • Is a runnable toolFound in material0.91
  • Top-10 learning shortlist signalnot found in the excerpt0.31
  • Is a replica of the modelnot found in the excerpt0.05
  • Solves a common problem (0–2)score on a 0–2 scale1.04 / 2
  • About JevFound in material0.97
Signals
Jev is core to the project0.96Shows a System One pattern0.47Describes handling uncertainty0.06Reports measured numbers0.07Is a runnable tool0.91Top-10 learning shortlist signal0.31Is a replica of the model0.0500.51Solves a common problem (0–2)1.04 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.98Ghostwriter0.87Funnel0.77Fail open, fail closed0.22Prefetch0.20Traffic light0.2000.51

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 29 Sept 2026.