air-compliance 0.2.1

EU AI Act compliance checker for AI agent projects — scans for AIR Blackbox components and reports coverage gaps

air-compliance

EU AI Act compliance checker for AI agent projects. Scans your codebase for AIR Blackbox components and reports which EU AI Act articles you're covered on — and which have gaps.

$ air-compliance /path/to/my-agent-project

============================================================
  AIR Blackbox — EU AI Act Compliance Report
============================================================

  Project: /path/to/my-agent-project
  Frameworks: LangChain

  Overall: PASS  |  Coverage: 100%  |  22 pass / 0 warn / 0 fail

  Article 9 — Risk Management System  [PASS]

    ● Tool calls classified by risk level
    ● Risk levels configurable per tool
    ● Risk-based blocking policy enforced at runtime
    ● Risk decisions logged to audit trail

  Article 10 — Data and Data Governance  [PASS]
  ...

  Article 12 — Record-Keeping  [PASS]

    ● Events automatically recorded over system lifetime
    ● Consent decisions logged with tool name, risk level, allow/deny
    ● Injection detection results logged with pattern and match
    ● HMAC-SHA256 chained logs — mathematically verifiable integrity

  EU AI Act high-risk enforcement: August 2, 2026

Install

pip install air-compliance

Usage

# Scan current directory
air-compliance

# Scan a specific project
air-compliance /path/to/project

# Verbose output (shows requirements and evidence)
air-compliance --verbose

# JSON output (for CI pipelines)
air-compliance --json

# Strict mode (exit code 1 on any failure — use in CI)
air-compliance --strict

What It Checks

The checker scans your project for AIR Blackbox components and maps them to 6 EU AI Act articles:

Article	Requirement	What It Looks For
Art. 9	Risk Management	ConsentGate, risk levels, blocking policies, audit trail
Art. 10	Data Governance	DataVault, PII patterns, prompt logging
Art. 11	Technical Documentation	AuditLedger, call graph capture, HMAC integrity
Art. 12	Record-Keeping	Auto recording, consent logging, injection logging, tamper-evident chain
Art. 14	Human Oversight	Audit trail, consent gate, intervention capability, interpretable output
Art. 15	Robustness & Security	InjectionDetector, blocking, defense-in-depth layers, configurable security

CI Integration

Add to your CI pipeline to block deploys that aren't compliant:

# .github/workflows/compliance.yml
name: EU AI Act Compliance
on: [push, pull_request]

jobs:
  compliance:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-python@v5
        with:
          python-version: "3.12"
      - run: pip install air-compliance
      - run: air-compliance --strict

JSON Output

air-compliance --json | jq '.articles[] | {article, status}'

{"article": "Article 9", "status": "pass"}
{"article": "Article 10", "status": "pass"}
{"article": "Article 11", "status": "warn"}
{"article": "Article 12", "status": "fail"}
{"article": "Article 14", "status": "pass"}
{"article": "Article 15", "status": "pass"}

AIR Blackbox Ecosystem

Package	Framework	Install
air-langchain-trust	LangChain / LangGraph	pip install air-langchain-trust
air-crewai-trust	CrewAI	pip install air-crewai-trust
openclaw-air-trust	TypeScript / Node.js	npm install openclaw-air-trust
Gateway	Any HTTP agent	docker pull ghcr.io/airblackbox/gateway:main
air-compliance	Compliance checker	pip install air-compliance

License

Apache-2.0