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title: Agentic Reliability Framework (ARF) v4  Public API Demo
emoji: 🤖
colorFrom: blue
colorTo: green
sdk: docker
python_version: '3.10'
app_file: app.py
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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.