File size: 3,457 Bytes
f5c7f0c 20e2bed f5c7f0c 20e2bed f5c7f0c 20e2bed f5c7f0c 20e2bed f5c7f0c 20e2bed f5c7f0c 20e2bed f5c7f0c 20e2bed 216a183 f5c7f0c 20e2bed f5c7f0c 20e2bed f5c7f0c 20e2bed | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 | ---
title: Agentic Reliability Framework
emoji: 🤖
colorFrom: blue
colorTo: green
sdk: static
pinned: false
license: apache-2.0
short_description: Bayesian governance for agentic systems
---
# Agentic Reliability Framework (ARF)
[](https://github.com/arf-foundation/agentic-reliability-framework)
[](LICENSE)
[](https://pypi.org/project/agentic-reliability-framework/)
[](https://huggingface.co/A-R-F)
**Open‑source advisory engine for cloud infrastructure governance.**
ARF provides **provably safe, mathematically grounded recommendations**—approve, deny, or escalate—when users request provisioning, configuration, or access changes.
---
## 🔍 What We Do
- **Bayesian Online Learning** – Fast, conjugate updates for per‑category risk using beta‑binomial models.
- **Offline Pattern Discovery** – Hamiltonian Monte Carlo (HMC/NUTS) logistic regression captures complex interactions (time‑of‑day, user role, environment).
- **Composable Policy Algebra** – Build fine‑grained rules with AND/OR/NOT combinators.
- **Semantic Memory** – FAISS‑based retrieval of similar past incidents for context‑aware decisions.
- **Deterministic Probability Thresholds (DPT)** – Clear approve/deny/escalate decisions based on calibrated failure probabilities.
---
## 📊 Key Mathematical Insights
| Concept | Implementation |
|--------|----------------|
| **Conjugate Priors** | Per‑category Beta priors, updated online with outcomes. |
| **HMC Sampling** | Logistic regression with NUTS, serialized to JSON for hot‑loading. |
| **Risk Fusion** | Dynamic weighted combination of conjugate, hyperprior, and HMC estimates. |
| **DPT** | `Approve` if P(failure) < 0.2; `Deny` if > 0.8; otherwise `Escalate`. |
---
## 🚀 Quick Links
- 📦 **[GitHub Repository](https://github.com/arf-foundation/agentic-reliability-framework)** – Source code, issues, contributions.
- 🤗 **[ARF v4 Demo Space](https://huggingface.co/spaces/A-R-F/Agentic-Reliability-Framework-v4)** – Interactive Bayesian risk dashboard.
- 🔧 **[Legacy API Demo](https://huggingface.co/spaces/A-R-F/Agentic-Reliability-Framework-API)** – v3.3.9 API for backward compatibility.
- 📚 **[Documentation](https://arf-foundation.github.io/arf-spec/)** – Full specs, tutorials, and API reference.
---
## 🧪 Try It Now
Click the Spaces below to interact with live demos. The v4 Space showcases the full Bayesian engine with real‑time risk scoring and policy evaluation.
---
## 🤝 Contributing
ARF is open source under the Apache 2.0 license. We welcome contributions of all kinds—code, documentation, ideas, or feedback.
- [Contribution Guidelines](https://github.com/arf-foundation/agentic-reliability-framework/blob/main/CONTRIBUTING.md)
- [Open an Issue](https://github.com/arf-foundation/agentic-reliability-framework/issues)
- [Start a Discussion](https://github.com/arf-foundation/agentic-reliability-framework/discussions)
---
## 📫 Contact
- Email: [petter2025us@outlook.com](mailto:petter2025us@outlook.com)
- LinkedIn: [petterjuan](https://linkedin.com/in/petterjuan)
- Book a call: [Calendly](https://calendly.com/petter2025us/30min) |