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Guruprasath Annadurai edited this page Jul 3, 2026 · 2 revisions

ResponsibleAI Wiki

The Trust Layer for AI — Enterprise Governance Platform


ResponsibleAI is an open-source AI governance platform that provides trust scoring, bias detection, guardrails, hallucination detection, compliance auditing, cost intelligence, drift monitoring, and an MCP server for Claude Code integration.

Quick navigation

Section Description
Architecture System design, module map, data flow
Getting Started Install, first run, 5-minute quickstart
API Reference All REST endpoints with request/response examples
MCP Server Claude Code integration — tools, resources, setup
Configuration All environment variables and their effects
Database & Migrations SQLite, PostgreSQL, Alembic usage
Authentication & RBAC Bearer tokens, roles, org management
Webhooks Event delivery, HMAC signing, retry persistence
BiasBuster Bias probes, scoring methodology, CI gate
PrivacyLabel Federated learning, differential privacy
Compliance Frameworks NIST AI RMF, EU AI Act, ISO 42001
Deployment Docker, Kubernetes, Helm, PostgreSQL+Redis
Contributing Dev setup, test suite, code style
Roadmap What's shipped, what's next

Platform at a glance

┌─────────────────────────────────────────────────────────────────┐
│                    ResponsibleAI v1.1.0                         │
│                                                                 │
│  Claude Code ──► MCP Server (10 tools, 5 resources)            │
│                       │                                         │
│  REST Client ─────────┤                                         │
│                       ▼                                         │
│  ┌──────────────────────────────────────────────────────────┐   │
│  │              Governance Dashboard (FastAPI)              │   │
│  │  Auth · Per-org rate limit · Audit log · OTEL · WS      │   │
│  └──────────────────────────────────────────────────────────┘   │
│       │          │          │          │          │              │
│  Trust      Compliance  Guardrails  Cost     Red Team           │
│  Score      NIST/EU/ISO  PII+Tox  Tracking  Simulator          │
│       │          │          │          │          │              │
│  ┌──────────────────────────────────────────────────────────┐   │
│  │         SQLAlchemy (SQLite / PostgreSQL)                 │   │
│  │         Alembic migrations · WAL mode · async           │   │
│  └──────────────────────────────────────────────────────────┘   │
└─────────────────────────────────────────────────────────────────┘

Repository structure

src/
├── responsibleai/          # Core governance engine + dashboard
│   ├── dashboard/          # FastAPI app, routes, WebSocket, static SPA
│   ├── db/                 # Async SQLAlchemy engine, repositories
│   ├── trust/              # TrustScoreEngine (6-dim, A–F grade)
│   ├── compliance/         # NIST AI RMF, EU AI Act, ISO 42001
│   ├── guardrails/         # PII detection, toxicity filtering
│   ├── hallucination/      # TF-IDF self-consistency + hedging analysis
│   ├── redteam/            # 10 adversarial attack vectors
│   ├── cost/               # Token tracking, model routing, budget alerts
│   ├── mcp/                # MCP server (stdio, 10 tools, 5 resources)
│   ├── webhooks/           # HMAC-signed event delivery + DB retry queue
│   ├── rbac/               # OWNER/ADMIN/ANALYST/VIEWER roles
│   └── auth/               # Bearer token + OIDC/JWKS validation
├── biasbuster/             # Bias evaluation CLI + 6 demographic probes
└── privacylabel/           # Federated learning + differential privacy
migrations/                 # Alembic versioned schema
tests/                      # 942 tests

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