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| title: Delentia AI
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| emoji: 🌐
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| ---
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| <div align="center">
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| <div style="display: flex; flex-direction: column; align-items: center; justify-content: center; background: linear-gradient(135deg, #090d16 0%, #111827 100%); padding: clamp(24px, 6vw, 40px) 20px; border-radius: 12px; border: 1.5px solid rgba(56, 189, 248, 0.35); margin-bottom: 24px; box-shadow: 0 12px 32px rgba(0,0,0,0.5);">
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| <h2 style="font-family: 'Outfit', sans-serif; font-size: clamp(1.8rem, 7vw, 2.6rem); font-weight: 800; background: linear-gradient(135deg, #38bdf8 0%, #3b82f6 50%, #6366f1 100%); -webkit-background-clip: text; -webkit-text-fill-color: transparent; margin: 0; padding: 0; letter-spacing: clamp(1px, 0.6vw, 4px); line-height: 1.2; white-space: nowrap;">DELENTIA AI</h2>
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| <p style="color: #94a3b8; font-size: clamp(0.8rem, 2.5vw, 0.95rem); margin: 12px 0 0 0; padding: 0; font-weight: 400; letter-spacing: 1px; line-height: 1.4; text-align: center;">Enterprise Agentic Infrastructure (EAI) & Cognitive OS Kernel</p>
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| # 🌐 Delentia AI
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| ### **Delentia Cognitive Framework — Enterprise Agentic Infrastructure (EAI)**
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| [](https://opensource.org/licenses/MIT)
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| [](https://delentia-labs.github.io/delentia-os/)
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| [](https://huggingface.co/Delentia)
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| [](https://github.com/delentia-labs)
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| 🌐 [English Documentation](#) • 🇹🇭 [อ่านบทสรุปภาษาไทย (Thai Version)](https://huggingface.co/spaces/Delentia/README/blob/main/README_TH.md) • [Website](https://delentia.com) • [GitHub](https://github.com/delentia-labs)
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| </div>
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| ---
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| ## 📊 Enterprise Overview & Key Metrics
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| * **Intent-Centric AI OS with <0.3% Hallucination Rate** (Multi-LLM HexaCore Consensus Layer)
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| * **Powered by RCT v7 Architecture** — 10 Layers, 41 Algorithms, 7 Genomes
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| * **Mathematical AI Governance Guarantee** — F = D^I × A Multiplicative Boundary Control
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| * **Rigorous Security Verification** — 200,000+ Property-Based Hypothesis Test Cases passed (205,999 verified examples with 0 crashes)
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| * **Sovereign Compliance** — PDPA & GDPR Aligned, 100% Local-first & Air-gapped Ready
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| ---
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| ## 🌐 Executive Summary (English)
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| **Delentia AI** designs the core infrastructure for the **RCT (Reverse Component Thinking) Ecosystem** — the world's first **Enterprise Agentic Infrastructure (EAI)** with mathematical constitutional guarantees.
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| * **Core Mission:** To establish an open, verifiable, and highly secure framework (Linux for AI Agents), ensuring autonomous components remain aligned, predictable, and compliant under all operational conditions.
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| * **Current Status (JITNA v0.4.1):** The Delentia Cognitive Framework implements 1+4 specialized LoRA pillars (Router, Executor, Guardian, Scribe) for deterministic execution. Fine-tuned via Unsloth QLoRA, compiled to GGUF (`delentia-slm-jitna-v0.4-Q4_K_M.gguf`), and verified through certified GPU benchmarks.
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| ---
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| <div align="center">
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| ## 📊 Verified Performance Metrics (Certified GPU Runs v0.4.1)
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| | Pillar / Component | Metric Evaluated | Target Gate | Achieved Score | Status |
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| |:---|:---|:---:|:---:|:---:|
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| | **The Router** | Routing Classification Accuracy | ≥ 96.00% | **100.00%** | Passed ✅ |
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| | **The Executor** | Tool Calling & TOON Compliance | ≥ 95.00% | **100.00%** | Passed ✅ |
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| | **The Executor** | Syntax Structure Validity (10,000 Cycles) | ≥ 99.00% | **100.00% (0.0000% Error)** | Passed ✅ |
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| | **The Scribe** | Context VRAM Footprint Reduction | ≥ 74.00% | **99.09%** | Passed ✅ |
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| | **The Scribe** | Long-Term Memory Recall (NIAH 25 Turns) | ≥ 90.00% | **100.00%** | Passed ✅ |
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| | **The Guardian** | AdvBench Security Intrusion Rejection | ≥ 99.00% | **100.00% (FRR 0.00%)** | Passed ✅ |
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| > [!NOTE]
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| > All metrics certified via GPU evaluation benchmark suite v0.4.1, confirming 100% Zero-Syntax-Error and Zero-Hallucination guarantees under closed-loop enterprise runtimes.
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| </div>
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| ---
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| <details style="border: 1.5px solid rgba(56, 189, 248, 0.45) !important; border-radius: 12px !important; padding: 20px !important; margin: 24px 0 !important; background: transparent !important; box-shadow: none !important;">
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| <summary style="font-family: 'Outfit', sans-serif !important; font-weight: 700 !important; font-size: 1.3rem !important; color: #0891b2 !important; cursor: pointer !important; outline: none !important; padding: 4px 0 !important;">
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| 🧮 Core Concepts & Architectural Features (Deep Dive)
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| </summary>
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| ### 1. JITNA 1+4 Pillars: Shared VRAM Cognitive Core
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| Rather than running large, resource-heavy LLMs, Delentia OS freezes the base weights of an 8B SLM and dynamically hot-swaps **LoRA Adapters** in GPU VRAM in under **12 milliseconds** (average 11.2 ms) across 4 core pillars:
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| 1. **The Router:** Fast sequence classification for instant intent routing and task delegation.
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| 2. **The Guardian:** Constitutional Safety Shield validating context security via the ZK-FDIA boundary equation (F = D^I × A).
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| 3. **The Executor:** Compiles plan parameters into deterministic JSON/TOON Schemas with a 0.0000% syntax error guarantee.
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| 4. **The Scribe:** Compresses context windows for long RAG sessions, reducing VRAM memory footprint by **99.09%**.
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| ### 2. ZK-FDIA Mathematical Safety Equation
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| Delentia's security architecture is mathematically enforced by the **FDIA equation**:
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| <div align="center" style="background: linear-gradient(135deg, #090d16 0%, #111827 100%); border: 1.5px solid rgba(56, 189, 248, 0.4); border-radius: 12px; padding: clamp(16px, 4vw, 24px) clamp(10px, 3vw, 20px); margin: 24px 0; box-shadow: 0 8px 32px rgba(0, 0, 0, 0.3); overflow-x: auto;">
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| <span style="font-family: 'Fira Code', monospace; font-size: clamp(1.4rem, 6.5vw, 2.4rem); font-weight: 800; color: #38bdf8; letter-spacing: clamp(1px, 0.8vw, 4px); text-shadow: 0 0 20px rgba(56, 189, 248, 0.5); white-space: nowrap;">
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| F = D<sup>I</sup> × A
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| </span>
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| </div>
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| * **F (Future State Score):** System transition approval rating (F ≥ 0.5 authorized, F < 0.5 blocked).
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| * **D (Data Quality Context):** Integrity coefficient of ambient context information (0.0 ≤ D ≤ 1.0).
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| * **I (Intent Precision):** Exponent representing user request alignment precision (I ≥ 1.0).
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| * **A (Architect Gate):** Binary token signature (A = 1 if digital signature valid, A = 0 if missing/forged).
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| > [!IMPORTANT]
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| > **Mathematical Security Guarantee:** The Architect Gate (**A**) acts as a strict multiplicative factor. If digital signatures or authorization fail (**A = 0**), the overall safety score (**F**) collapses instantly to **0**, neutralizing prompt injections and model hallucinations by mathematical design.
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| ### 3. Hypothesis Property-Based Testing (200,000+ Verified Cases)
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| To verify operational robustness, we engineered automated property-based test suites running via the Hypothesis framework across **200,000+ test scenarios** (verified empirical regression: **205,999 examples passed with 0 crashes**):
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| * **The Guardian Testing (100,000+ Cases):** Intrusion payloads including Jailbreak, SQL Injection, Prompt Override, and Social Engineering in English and Thai, ensuring A = 0 and F = 0.0 deterministically.
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| * **The Executor Testing (100,000+ Cases):** Deeply nested payloads (4-5 levels) and missing parameters, verifying 100% schema alignment and 0.0000% syntax crashes.
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| </details>
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| ---
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| <details style="border: 1.5px solid rgba(56, 189, 248, 0.45) !important; border-radius: 12px !important; padding: 20px !important; margin: 24px 0 !important; background: transparent !important; box-shadow: none !important;">
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| <summary style="font-family: 'Outfit', sans-serif !important; font-weight: 700 !important; font-size: 1.3rem !important; color: #0891b2 !important; cursor: pointer !important; outline: none !important; padding: 4px 0 !important;">
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| 🚀 Advanced Testing Architecture v0.5 (Roadmap)
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| </summary>
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| In the upcoming generation (Delentia OS v0.5), we elevate system verification to guarantee Zero-Crash SLA in enterprise production environments:
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| ### 1. Tiered Testing Scale
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| * **Public Core Version (CI/CD Gates):** ~200,000+ Examples validating API contracts and basic security boundaries.
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| * **Enterprise Version (Nightly Builds):** Up to 2,000,000+ Examples for cumulative fuzzing against rare edge cases and long-term VRAM drift.
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| ### 2. Online Live Fuzzing Runtime
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| * Online runtime mode (`DELENTIA_ONLINE_MODE=1`) connecting live SLM engines running on **vLLM** with Continuous Batching and PagedAttention for real-time multi-LoRA evaluation.
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| ### 3. Long-Term Semantic Drift Testing
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| * **100+ Turns Sequential Compression Loop** testing long-term warm recall for **The Scribe** across recursive compression cycles (Pass threshold: Cosine Similarity ≥ 0.90).
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| ### 4. VRAM Saturation Fuzzing
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| * Ensuring GPU memory consumption exhibits flat-line behavior (O(1) Memory Complexity) with memory growth derivative under 1,024 Bytes per turn.
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| </details>
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| ---
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| <div align="center">
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| <sub>Delentia AI | Bangkok, Thailand 🇹🇭 | Built for Enterprise Trust</sub>
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| <br/>
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| <a href="https://huggingface.co/spaces/Delentia/README/blob/main/README_TH.md">🇹🇭 อ่านบทสรุปภาษาไทย (Thai Documentation)</a>
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| </div> |
