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README.md
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title: Agentic Reliability Framework (ARF) v4 API
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emoji: 🤖
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colorFrom: blue
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colorTo: green
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pinned: false
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---
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# Agentic Reliability Framework (ARF)
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**Problem:** Most AI‑driven governance systems fail silently in production, leading to outages, security breaches, and compliance violations.
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**Solution:** ARF turns probabilistic AI into deterministic, auditable action using Bayesian inference, semantic memory, and
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**Outcome:** Reduce MTTR by up to 85% with self‑healing systems, backed by fully explainable risk scores.
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---
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## 🚀 Start Here
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|--|--|
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| **📚 API Docs** | [https://a-r-f-
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| **🧪 Live Demo** | [Gradio Dashboard](https://a-r-f-
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| **📦
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| **📅 Book a Call** | [Calendly](https://calendly.com/petter2025us/30min) |
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---
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import requests
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response = requests.post(
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"https://a-r-f-
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json={
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"service_name": "payment-gateway",
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"event_type": "latency_spike",
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"severity": "high",
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"metrics": {"latency_p99":
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}
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)
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print(response.json())
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```
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The response includes a
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* risk\_score:
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* risk\_factors: additive contributions from conjugate prior, hyperprior, and HMC
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* decision\_trace: expected losses and variance
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* **Bayesian Risk Scoring** – Conjugate priors + HMC for calibrated uncertainty.
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* **Semantic Memory** – FAISS‑based retrieval of similar past incidents.
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* **
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* **Multi‑Agent Orchestration** – Anomaly detection, root cause, forecasting.
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```text
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User Request → Policy Evaluation → Cost Estimation → Risk Scoring
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↓
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HealingIntent ← Decision (
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```
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All decisions are immutable, signed, and fully traceable via ancestor\_chain and infrastructure\_intent fields.
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📚 About ARF
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------------
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Agentic Reliability Framework
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---
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title: Agentic Reliability Framework (ARF) v4 – Public API Demo
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emoji: 🤖
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colorFrom: blue
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colorTo: green
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pinned: false
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---
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# Agentic Reliability Framework (ARF) – Public API Demo (Sandbox)
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**Problem:** Most AI‑driven governance systems fail silently in production, leading to outages, security breaches, and compliance violations.
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**Solution:** ARF turns probabilistic AI into deterministic, auditable action using Bayesian inference, semantic memory, and **expected loss minimisation**.
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**Outcome:** Reduce MTTR by up to 85% with self‑healing systems, backed by fully explainable risk scores.
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> 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.
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---
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## 🚀 Start Here
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|--|--|
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| **📚 API Docs** | [https://a-r-f-arf-sandbox-api.hf.space/docs](https://a-r-f-arf-sandbox-api.hf.space/docs) |
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| **🧪 Live Demo** | [Gradio Dashboard](https://a-r-f-arf-sandbox-api.hf.space/) |
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| **📦 Public Spec** | [github.com/arf-foundation/arf-spec](https://github.com/arf-foundation/arf-spec) |
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| **📅 Book a Call** | [Calendly](https://calendly.com/petter2025us/30min) |
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---
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import requests
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response = requests.post(
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"https://a-r-f-arf-sandbox-api.hf.space/v1/evaluate",
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json={
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"service_name": "payment-gateway",
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"event_type": "latency_spike",
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"severity": "high",
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"metrics": {"latency_p99": 450, "error_rate": 0.12}
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}
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)
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print(response.json())
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```
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The response includes a mock HealingIntent with:
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* risk\_score: simulated failure probability
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* risk\_factors: additive contributions from conjugate prior, hyperprior, and HMC
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* decision\_trace: expected losses and variance
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⚠️ **All responses from this endpoint are simulated.** The real Bayesian engine is not exposed publicly.
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🧠 Key Capabilities (Conceptual Overview)
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-----------------------------------------
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* **Bayesian Risk Scoring** – Conjugate priors + HMC for calibrated uncertainty.
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* **Semantic Memory** – FAISS‑based retrieval of similar past incidents.
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* **Expected Loss Minimisation** – Chooses approve/deny/escalate by minimising cost-weighted risk, not static thresholds.
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* **Multi‑Agent Orchestration** – Anomaly detection, root cause, forecasting.
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```text
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User Request → Policy Evaluation → Cost Estimation → Risk Scoring
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↓
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HealingIntent ← Decision (Expected Loss)
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```
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All decisions are immutable, signed, and fully traceable via ancestor\_chain and infrastructure\_intent fields.
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📚 About ARF
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------------
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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.
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Learn more at [github.com/arf-foundation](https://github.com/arf-foundation) and request access via petter2025us@outlook.com.
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