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metadata 
title: Agentic Reliability Framework (ARF) – Technical Overview
emoji: 🧠
colorFrom: blue
colorTo: indigo
sdk: static
pinned: false
license: apache-2.0

Agentic Reliability Framework (ARF) – Technical Overview

🔒 The core ARF engine is access‑controlled and not open source.
Available to qualified pilots under outcome‑based pricing.
The public specification and demo UI are Apache 2.0.

🧠 Core Engine (Protected)

Bayesian Risk Fusion

Conjugate Beta priors (online) + HMC logistic regression (offline) + optional hierarchical hyperpriors.

risk=wconj⋅αα+β  +  whmc⋅phmc  +  whyper⋅μhyper \text{risk} = w_{\text{conj}}\cdot\frac{\alpha}{\alpha+\beta} \;+\; w_{\text{hmc}}\cdot p_{\text{hmc}} \;+\; w_{\text{hyper}}\cdot \mu_{\text{hyper}}

Weights are dynamic:

whmc=min⁡(0.6,  nn0),whyper=min⁡(0.3,  base⋅(1−whmc)) w_{\text{hmc}} = \min\left(0.6,\; \frac{n}{n_0}\right), \qquad w_{\text{hyper}} = \min\left(0.3,\; \text{base}\cdot(1-w_{\text{hmc}})\right)

Posterior variance → 90% HDI for uncertainty quantification.

Expected Loss Minimisation

Chooses APPROVE, DENY, or ESCALATE by minimising:

Lapprove=COST_FP⋅R+COST_IMPACT⋅bmean+…Ldeny=COST_FN⋅(1−R)+COST_OPP⋅vmeanLescalate=COST_REVIEW+COST_UNCERTAINTY⋅ψ \begin{aligned} L_{\text{approve}} &= \text{COST\_FP}\cdot R + \text{COST\_IMPACT}\cdot b_{\text{mean}} + \dots \\ L_{\text{deny}} &= \text{COST\_FN}\cdot(1-R) + \text{COST\_OPP}\cdot v_{\text{mean}} \\ L_{\text{escalate}} &= \text{COST\_REVIEW} + \text{COST\_UNCERTAINTY}\cdot\psi \end{aligned}

Execution Ladder (Rust)

Mechanical gates: license, confidence, risk, rollback, causal.

Lyapunov Stability

Quadratic candidate $V(x,r) = \alpha r^2 + \beta|x - x_{\text{des}}|^2$ ensures healing actions converge.

Cryptographic Signing

Ed25519 signatures for HealingIntent (Python cryptography, Rust ed25519_dalek).

📄 Public Specification (Open Source)

  • Data models & API contracts – InfrastructureIntent, HealingIntent, RiskScore, GovernanceLoop
  • Mathematics – Full Bayesian derivations, Lyapunov proof sketch
  • Governance loop – Step‑by‑step flow with constants (COST_FP, COST_FN, EPISTEMIC_ESCALATION_THRESHOLD)

🧪 Live Demos (Mock Data Only)

  • Interactive Risk Demo – Adjust priors, see HMC simulation, semantic memory retrieval.
  • Sandbox API – Mock FastAPI endpoint (returns simulated responses, no real Bayesian engine). Interactive docs available at /docs.

🔗 Public Repos

Repo Description
arf-spec Canonical specification (Apache 2.0)
arf-frontend Demo UI (Next.js, Tailwind)
pitch-deck Public overview

Private repos (agentic_reliability_framework, arf-api, enterprise) are pilot/enterprise only.

✈️ Pilot Access

Request access via email: petter2025us@outlook.com (include use case, volume, cloud environment).
Outcome‑based pricing – pay for risk reduction, not API calls.