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| 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. |
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| ## 🔍 What We Do |
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| - **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. |
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|
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| ## 📊 Key Mathematical Insights |
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| | 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`. | |
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| ## 🚀 Quick Links |
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| - 📦 **[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. |
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| ## 🧪 Try It Now |
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| 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. |
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| ## 🤝 Contributing |
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| ARF is open source under the Apache 2.0 license. We welcome contributions of all kinds—code, documentation, ideas, or feedback. |
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|
| - [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) |
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|
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| ## 📫 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) |
