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Technical Whitepaper · v1.0.0

Contextual Flux
Architecture

Governed execution for AI agents and data systems. Formalize intent. Evaluate policy. Control execution. Project state. Track lifecycle. Audit everything.

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StateSignature

Formal typed contract for every intent — domain, datasets, constraints, target layer. Immutable, hash-verifiable.

Policy Engine

Declarative policy rules: APPROVE, REPLAN, or BLOCK. Auto-interventions correct constraints before execution.

Audit Trail

SHA-256 hash chain — cryptographically verifiable. Every decision, every fault, every remediation, permanently recorded.

CLI + MCP

cfa evaluate from the terminal. MCP server exposes governance to ChatGPT, Claude, Copilot, and any AI agent.

Rich Reports

Self-contained HTML reports with Chart.js — execution timeline, audit chain, lifecycle dashboard, compliance summary.

Lifecycle Indices

IFo, IFs, IFg, IDI — quantitative pipeline health. Promotion, watchlist, demotion based on evidence, not intuition.

Zero Runtime Dependencies

The entire CFA core runs on Python 3.11+ standard library. No mandatory pip installs. Optional extras: YAML, OpenTelemetry, MCP protocol.

pip install cfa-kernel && cfa evaluate "Join NFe with Clientes persist Silver"

534 tests · MIT License · Python 3.11+