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@medicine-wheel/prompt-decomposition

v0.4.1

Published

Prompt Decomposition Engine for the Medicine Wheel Developer Suite — ontology-enriched intent extraction, relational dependency mapping, and ceremony-aware action stacking

Readme

@medicine-wheel/prompt-decomposition

Ontology-enriched prompt decomposition engine for the Medicine Wheel Developer Suite.

Overview

Extracts structured intents from natural language prompts and classifies them across the Four Directions (East/vision, South/analysis, West/validation, North/action). Detects implicit intents from hedging language, maps dependencies between tasks, and generates ceremony guidance when directional balance is poor.

Lineage: mcp-pdeava-langchain-prompt-decomposition@medicine-wheel/prompt-decomposition

Installation

npm install @medicine-wheel/prompt-decomposition

Usage

Basic Decomposition

import { MedicineWheelDecomposer } from '@medicine-wheel/prompt-decomposition';

const decomposer = new MedicineWheelDecomposer({
  extractImplicit: true,
  mapDependencies: true,
  ceremonyThreshold: 0.3,
});

const result = decomposer.decompose(
  'Research the ontology types, then implement the query builder, and validate with tests'
);

console.log(result.primary);           // { action: 'investigate', target: '...', urgency: 'session', confidence: 0.85 }
console.log(result.balance);           // 0.75 (directional balance score)
console.log(result.neglectedDirections); // ['east'] (vision direction neglected)
console.log(result.ceremonyRequired);  // true/false
console.log(result.actionStack);       // Ordered tasks: east→south→west→north

Relational Enrichment

import { RelationalEnricher } from '@medicine-wheel/prompt-decomposition';

const enricher = new RelationalEnricher();
const enriched = enricher.enrich(decomposition, {
  nodes: myNodes,
  edges: myEdges,
  relations: myRelations,
});

console.log(enriched.relationalHealth);     // 0-1 composite score
console.log(enriched.accountabilityGaps);   // Where attention is needed

Storage

import { saveDecomposition, loadDecomposition, listDecompositions } from '@medicine-wheel/prompt-decomposition';

const stored = saveDecomposition('.', result);
// Creates .pde/{id}.json and .pde/{id}.md

const loaded = loadDecomposition('.', result.id);
const all = listDecompositions('.');

API

MedicineWheelDecomposer

  • decompose(prompt: string): OntologicalDecomposition — Full Four Directions decomposition

RelationalEnricher

  • enrich(decomposition, graph): EnrichmentResult — Enrich with graph context

Storage Functions

  • saveDecomposition(workdir, result): StoredDecomposition
  • loadDecomposition(workdir, id): StoredDecomposition | null
  • listDecompositions(workdir): StoredDecomposition[]
  • decompositionToMarkdown(result): string

Dependencies

  • @medicine-wheel/ontology-core ^0.1.0

License

MIT