README.md

---
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](https://arf-foundation.github.io/arf-spec/) for details.

---

## 🚀 Start Here

| | |
|--|--|
| **📚 API Docs** | [https://a-r-f-arf-sandbox-api.hf.space/docs](https://a-r-f-arf-sandbox-api.hf.space/docs) |
| **🧪 Live Demo** | [Gradio Dashboard](https://a-r-f-arf-sandbox-api.hf.space/) |
| **📦 Public Spec** | [github.com/arf-foundation/arf-spec](https://github.com/arf-foundation/arf-spec) |
| **📅 Book a Call** | [Calendly](https://calendly.com/petter2025us/30min) |

---

## 🔍 Quick Example

```python
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
---------------

```text
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
--------------------

```bash
docker build -t arf-api .
docker run -p 7860:7860 arf-api
```

Then open [http://localhost:7860](http://localhost:7860/) for the Gradio UI and [http://localhost:7860/api/docs](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](https://github.com/arf-foundation) and request access via petter2025us@outlook.com.