title: Agentic Reliability Framework (ARF) v4 – Public API Demo
emoji: 🤖
colorFrom: blue
colorTo: green
sdk: docker
python_version: '3.10'
app_file: app.py
pinned: false
Agentic Reliability Framework (ARF) – Public API Demo (Sandbox)
Problem: Most AI‑driven governance systems fail silently in production, leading to outages, security breaches, and compliance violations.
Solution: ARF turns probabilistic AI into deterministic, auditable action using Bayesian inference, semantic memory, and expected loss minimisation.
Outcome: Reduce MTTR by up to 85% with self‑healing systems, backed by fully explainable risk scores.
ℹ️ This Space provides a sanitised, mock API endpoint. The real ARF core engine is proprietary, access‑controlled, and available only to qualified pilots and enterprise customers. See the public specification for details.
🚀 Start Here
| 📚 API Docs | https://a-r-f-arf-sandbox-api.hf.space/docs |
| 🧪 Live Demo | Gradio Dashboard |
| 📦 Public Spec | github.com/arf-foundation/arf-spec |
| 📅 Book a Call | Calendly |
🔍 Quick Example
import requests
response = requests.post(
"https://a-r-f-arf-sandbox-api.hf.space/v1/evaluate",
json={
"service_name": "payment-gateway",
"event_type": "latency_spike",
"severity": "high",
"metrics": {"latency_p99": 450, "error_rate": 0.12}
}
)
print(response.json())
The response includes a mock HealingIntent with:
risk_score: simulated failure probability
risk_factors: additive contributions from conjugate prior, hyperprior, and HMC
recommended_action: approve, deny, or escalate
decision_trace: expected losses and variance
⚠️ All responses from this endpoint are simulated. The real Bayesian engine is not exposed publicly.
🧠 Key Capabilities (Conceptual Overview)
Bayesian Risk Scoring – Conjugate priors + HMC for calibrated uncertainty.
Semantic Memory – FAISS‑based retrieval of similar past incidents.
Expected Loss Minimisation – Chooses approve/deny/escalate by minimising cost-weighted risk, not static thresholds.
Multi‑Agent Orchestration – Anomaly detection, root cause, forecasting.
📊 Architecture
User Request → Policy Evaluation → Cost Estimation → Risk Scoring
↓
HealingIntent ← Decision (Expected Loss)
All decisions are immutable, signed, and fully traceable via ancestor_chain and infrastructure_intent fields.
🔧 Local Development
docker build -t arf-api .
docker run -p 7860:7860 arf-api
Then open http://localhost:7860 for the Gradio UI and http://localhost:7860/api/docs for the API.
📚 About ARF
The Agentic Reliability Framework is a governed, mathematically grounded advisory layer for AI infrastructure. The public specification, demo UI, and sandbox API are open‑source (Apache 2.0). The core Bayesian engine is proprietary and access‑controlled — available for pilot evaluation and enterprise licensing under outcome‑based pricing.
Learn more at github.com/arf-foundation and request access via petter2025us@outlook.com.