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@agentix-e/causality-analyzer-core

v0.1.0

Published

Causality Analyzer Core — type definitions, interfaces, plugin registry, and universal data primitives

Readme

@agentix-e/causality-analyzer-core

Foundation layer — types, interfaces, universal data primitives, and shared math.

npm

Overview

@agentix-e/causality-analyzer-core defines the contracts that every other package in the causality-analyzer ecosystem depends on. It contains the ColumnarTable data structure (the only implementation class — by explicit design exception, as it serves the same foundational role as Array in the runtime), plus shared mathematical utilities extracted from the pipeline.

This package does not import any external runtime dependencies — only zod for schema validation.

What's Inside

src/
├── types/        # CausalEdge, CausalGraph, RCAResult, MetricQuery, etc.
├── interfaces/   # IRelationalStore, IGraphStore (storage contracts)
├── table/        # ColumnarTable — zero-copy columnar data structure
├── math.ts       # solveLinear, normalTail, erf, colMean, createRNG
├── registry/     # PluginRegistry (detectors, graphs, analyzers)
├── config/       # BaseConfig with Zod validation (abstract getSchema)
└── di/           # CausalityAnalyzerConfig (dependency injection)

Installation

npm install @agentix-e/causality-analyzer-core

Quick Start

ColumnarTable

import { ColumnarTable } from '@agentix-e/causality-analyzer-core';

const table = ColumnarTable.fromRows([
  { ts: 1000, cpu: 0.5, mem: 0.8 },
  { ts: 2000, cpu: 0.9, mem: 0.85 },
]);

// Zero-copy access
const cpuColumn = table.column('cpu');    // Float64Array
const row0 = table.row(0);               // { ts: 1000, cpu: 0.5, mem: 0.8 }
const sliced = table.slice(0, 1);        // ColumnarTable

Shared Math

import { solveLinear, normalTail, createRNG } from '@agentix-e/causality-analyzer-core';

// Gaussian elimination with partial pivoting
const x = solveLinear([[2, 1], [1, 3]], [5, 6]);
// x ≈ [1.8, 1.4]

// Upper-tail normal probability (Abramowitz & Stegun 7.1.26)
const p = normalTail(1.96);  // ≈ 0.025

// Seeded PRNG for reproducibility
const rng = createRNG(42);
rng();  // deterministic, reproducible

Plugin Registry

import { PluginRegistry, PluginCategory } from '@agentix-e/causality-analyzer-core';

PluginRegistry.register(PluginCategory.DETECTOR, 'StatsDetector', StatsDetector);
const names = PluginRegistry.listDetectors();  // ['StatsDetector']

API Reference

📚 Full TypeDoc API: pnpm docs from the monorepo root.

Key Exports

Types: CausalGraph, CausalEdge, RootCause, RCAResult, MetricQuery, DetectionResult, Estimand, CausalEstimate, DomainKnowledge, ConditionalProbabilityTable, RegressionParams

Table: ColumnarTable, TableSchema, ColumnNames, DataRow

Math: solveLinear, normalTail, normalCDF, normalCDFTail, erf, colMean, createRNG

Registry: PluginRegistry, PluginCategory, RegisterDetector, RegisterGraph, RegisterAnalyzer

Config: BaseConfig, ValidationResult

Interfaces: IRelationalStore, IGraphStore

License

MIT