Verity - AI Governance Through Enforcement (API + CLI)
Project description
Verity - AI Governance Through Enforcement
Complete AI model audit system with CI/CD integration, evidence storage, and regulator-ready exports.
Quick Start
Install Dependencies
# Install root dependencies (concurrently)
npm install
# Install website and dashboard dependencies
npm run install:all
Run Everything
# Run website, dashboard, and API together
npm run dev:all
This will start:
- Website: http://localhost:3000
- Dashboard: http://localhost:3001
- API: http://localhost:8000
Run Individual Services
# Just the website
npm run dev:website
# Just the dashboard
npm run dev:dashboard
# Just the API
npm run dev:api
Project Structure
ai-audit-ci/
├── audit/ # CLI audit tool
│ ├── cli.py # Main CLI interface
│ ├── metrics.py # Fairness metrics
│ ├── evidence.py # Report generation
│ └── export.py # PDF/JSON exports
├── api/ # FastAPI backend
│ ├── main.py # API server
│ ├── database.py # Database models
│ ├── routes/ # API routes
│ └── manage.py # Management CLI
├── website/ # Marketing website (React)
│ └── src/
│ ├── pages/ # Website pages
│ └── components/
└── dashboard/ # Dashboard app (React)
└── src/
├── pages/ # Dashboard pages
└── components/
Features
Core Audit Tool
- ✅ Fairness metrics (demographic parity, equal opportunity, disparate impact)
- ✅ SHA-256 hashing for all artifacts
- ✅ Immutable audit reports
- ✅ GitHub Actions integration
- ✅ Regulator-ready PDF/JSON exports
API & Evidence Store
- ✅ User authentication
- ✅ Organization & project management
- ✅ API key management
- ✅ Append-only audit storage
- ✅ Commit context tracking
- ✅ Policy versioning
Dashboard
- ✅ Project overview with statistics
- ✅ Audit timeline visualization
- ✅ Trend charts
- ✅ Policy management
- ✅ Regulator portal (Enterprise)
Website
- ✅ Dark, professional design
- ✅ Responsive layout
- ✅ Animated interactions
- ✅ Enterprise messaging
Development
Prerequisites
- Python 3.11+
- Node.js 18+
- npm or yarn
Setup
- Install Python dependencies:
cd ai-audit-ci
pip install -r requirements.txt
- Install Node dependencies:
npm run install:all
- Initialize database:
cd api
python -m api.main
- Run all services:
npm run dev:all
Usage
Run an Audit
cd ai-audit-ci
python -m audit.cli run --config examples/tabular/config.yml
Upload Audit Evidence
Set environment variables:
export VERITY_API_KEY=your_api_key
export VERITY_API_URL=https://verityai-production.up.railway.app
Then run with upload:
python -m audit.cli run --config config.yml --upload
GitHub Actions
Add to .github/workflows/audit.yml:
name: AI Governance Audit (Verity)
on: [pull_request]
jobs:
audit:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: '3.11'
- run: |
pip install -r requirements.txt
python -m audit.cli run --config config.yml --upload
env:
VERITY_API_KEY: ${{ secrets.VERITY_API_KEY }}
GITHUB_SHA: ${{ github.sha }}
GITHUB_REF_NAME: ${{ github.ref_name }}
GITHUB_REPOSITORY: ${{ github.repository }}
API Endpoints
POST /v1/audits- Upload audit evidenceGET /v1/audits/{audit_id}- Retrieve auditPOST /auth/signup- Create accountPOST /auth/login- Sign inGET /dashboard/orgs/{org_id}/projects- List projectsGET /dashboard/projects/{project_id}/audits- Get audit historyGET /dashboard/projects/{project_id}/trends- Get trend data
See api/README.md for full API documentation.
License
Proprietary - All rights reserved
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