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metadata 
title: ARF v4 – Reliability Lab
emoji: 🧠
colorFrom: blue
colorTo: purple
sdk: docker
pinned: false
license: apache-2.0
short_description: ARF v4 – Bayesian reliability demo

🧠 ARF v4 – Reliability Lab

This Space hosts a live, interactive demo of the Agentic Reliability Framework v4 (OSS edition). It showcases the core intelligence engine – a hybrid Bayesian + Hamiltonian Monte Carlo (HMC) system that evaluates infrastructure incidents and produces advisory healing recommendations.

All outputs are advisory only – no execution.

GitHub Tutorial Contact

🚀 How It Works

The demo uses the EnhancedReliabilityEngine from the ARF v4 package. When you submit telemetry (component, latency, error rate, etc.), the engine:

  1. Runs three specialised agents in parallel:

    • Detective – anomaly detection and pattern recognition
    • Diagnostician – root cause analysis
    • Predictive – forecasting and trend detection

  2. Computes a risk score using:

    • Online Bayesian conjugate priors (Beta‑Binomial) per action category
    • Offline Hamiltonian Monte Carlo (HMC) with NUTS (if trained) for complex patterns
    • A weighted blend of both for the final score

  3. Applies deterministic policy thresholds (DPT) to recommend: APPROVE, DENY, or ESCALATE.

  4. Returns a JSON containing the risk score, agent insights, healing actions, and (if configured) a Claude‑generated executive summary.

🧪 Try It Yourself

Just fill in the form on the left and click Analyze. The output will appear as a formatted JSON.

Example input:

  • Component: api-service
  • Latency P99: 250 ms
  • Error Rate: 0.08
  • Throughput: 1000 req/s
  • CPU Utilization: 0.7
  • Memory Utilization: 0.6

Expected risk score: ~0.12 (low) → APPROVE.

📦 How This Space Is Built

  • Base image: python:3.10 (via Dockerfile)
  • Dependencies:
    • git+https://github.com/petter2025us/agentic-reliability-framework.git@v4.0.0
    • gradio>=6.10.0
  • Source code: a minimal app.py that imports and runs EnhancedReliabilityEngine.

All code is open source and available in the main repository.

🏃 Run Locally

You can run the exact same demo on your own machine:

git clone https://github.com/petter2025us/agentic-reliability-framework.git
cd agentic-reliability-framework
python -m venv venv
source venv/bin/activate
pip install -e .
pip install gradio
python examples/app.py   # or copy the Space's app.py

Then open http://localhost:7860.

📚 Learn More

📬 Contact

Powered by ARF v4 – Bayesian reliability for autonomous infrastructure.