/* D551 - Smart contrast fix systémique
1. CSS patterns: containers avec bg dark connu → text light forcé
2. Couvre header/topbar/sections dark sur pages mode JOUR
*/
/* === MODE JOUR : containers dark inline → text light === */
html:not(.dark) [style*="background:#0a0e1a"],
html:not(.dark) [style*="background:#0f172a"],
html:not(.dark) [style*="background:#111827"],
html:not(.dark) [style*="background:#1e293b"],
html:not(.dark) [style*="background:#0c1018"],
html:not(.dark) [style*="background:#080a10"],
html:not(.dark) [style*="background:#14193"],
html:not(.dark) [style*="background:#020617"],
html:not(.dark) [style*="background-color:#0a0e1a"],
html:not(.dark) [style*="background-color:#0f172a"],
html:not(.dark) [style*="background-color:#111827"],
html:not(.dark) [style*="background-color:#1e293b"],
html:not(.dark) [style*="background-color:#0c1018"],
html:not(.dark) [style*="background-color:rgb(15"],
html:not(.dark) [style*="background-color:rgb(8,"],
html:not(.dark) [style*="background-color:rgb(10,"],
html:not(.dark) [style*="background-color:rgb(20,"],
html:not(.dark) [style*="background-color:rgba(8,"],
html:not(.dark) [style*="background-color:rgba(10,"],
html:not(.dark) [style*="background-color:rgba(15,"],
html:not(.dark) [style*="background:rgba(8,"],
html:not(.dark) [style*="background:rgba(15,"] {
color: #f1f5f9 !important;
}
/* Cascade : children inherit light text */
html:not(.dark) [style*="background:#0a0e1a"] *,
html:not(.dark) [style*="background:#0f172a"] *,
html:not(.dark) [style*="background:#111827"] *,
html:not(.dark) [style*="background:#1e293b"] *,
html:not(.dark) [style*="background-color:#0a0e1a"] *,
html:not(.dark) [style*="background-color:#0f172a"] *,
html:not(.dark) [style*="background-color:#111827"] *,
html:not(.dark) [style*="background-color:#1e293b"] *,
html:not(.dark) [style*="background:rgba(8,"] *,
html:not(.dark) [style*="background:rgba(15,"] *,
html:not(.dark) [style*="background-color:rgba(8,"] *,
html:not(.dark) [style*="background-color:rgba(15,"] * {
color: #f1f5f9 !important;
}
/* Tailwind dark bg classes */
html:not(.dark) .bg-slate-900, html:not(.dark) .bg-slate-800,
html:not(.dark) .bg-gray-900, html:not(.dark) .bg-gray-800,
html:not(.dark) .bg-zinc-900, html:not(.dark) .bg-neutral-900,
html:not(.dark) .bg-stone-900,
html:not(.dark) .bg-black { color: #f1f5f9 !important; }
html:not(.dark) .bg-slate-900 *, html:not(.dark) .bg-slate-800 *,
html:not(.dark) .bg-gray-900 *, html:not(.dark) .bg-gray-800 * { color: #f1f5f9 !important; }
/* Text-white classes preserved */
html:not(.dark) .text-white { color: #ffffff !important; }
html:not(.dark) .text-white\/80 { color: rgba(255,255,255,0.8) !important; }
html:not(.dark) .text-white\/60 { color: rgba(255,255,255,0.6) !important; }
/* Inverse: containers blanc/cream avec texte qui était hardcoded blanc */
html:not(.dark) [style*="background:#fff"] [style*="color:#fff"],
html:not(.dark) [style*="background:#ffffff"] [style*="color:#ffffff"],
html:not(.dark) [style*="background:white"] [style*="color:white"] {
color: #1f2937 !important;
}
/* D552 - Enhanced contrast fix - patterns supplémentaires + runtime amélioré */
/* === LIGHT TEXT classes hardcoded sur bg cream/blanc === */
html:not(.dark) .text-zinc-50, html:not(.dark) .text-zinc-100, html:not(.dark) .text-zinc-200,
html:not(.dark) .text-slate-50, html:not(.dark) .text-slate-100, html:not(.dark) .text-slate-200,
html:not(.dark) .text-gray-50, html:not(.dark) .text-gray-100, html:not(.dark) .text-gray-200 {
color: #1f2937 !important;
}
/* === Dark BG variants supplémentaires === */
html:not(.dark) [style*="background:#0c1018"] *,
html:not(.dark) [style*="background:#0e111c"] *,
html:not(.dark) [style*="background:#141933"] *,
html:not(.dark) [style*="background:#0d1117"] *,
html:not(.dark) [style*="background-color:#141933"] *,
html:not(.dark) [style*="background-color:#0d1117"] *,
html:not(.dark) [style*="background:rgb(20,"] *,
html:not(.dark) [style*="background:rgb(30,"] *,
html:not(.dark) [style*="background-color:rgb(20,"] *,
html:not(.dark) [style*="background-color:rgb(30,"] *,
html:not(.dark) [style*="background:rgba(14,"] *,
html:not(.dark) [style*="background:rgba(20,"] *,
html:not(.dark) [style*="background:rgba(30,"] *,
html:not(.dark) [style*="background:rgba(10,10,15"] *,
html:not(.dark) [style*="background-color:rgba(14,"] *,
html:not(.dark) [style*="background-color:rgba(20,"] *,
html:not(.dark) [style*="background-color:rgba(30,"] * {
color: #f1f5f9 !important;
}
/* === .stat / .phase / .input-group .composer-row classes communes === */
html:not(.dark) .stat,
html:not(.dark) .phase,
html:not(.dark) .phase-header,
html:not(.dark) .input-group:not(.dark),
html:not(.dark) .composer-row,
html:not(.dark) .topbar,
html:not(.dark) .nav-links,
html:not(.dark) .links {
/* If bg is dark via inline style, force text light */
}
/* === Conteneurs avec .dark suffix === */
html:not(.dark) [class*="-dark"] *,
html:not(.dark) [class*="dark-"]:not(.dark) * {
color: inherit !important;
}
/* D553 - Surgical patterns for known dashboard structures */
/* === Common dashboard stat/phase/composer classes with dark bg === */
html:not(.dark) .stat,
html:not(.dark) .stat *,
html:not(.dark) .phase,
html:not(.dark) .phase *,
html:not(.dark) .phase-header,
html:not(.dark) .phase-header *,
html:not(.dark) .composer-row,
html:not(.dark) .composer-row *,
html:not(.dark) .input-group,
html:not(.dark) .input-group *,
html:not(.dark) .nav-links,
html:not(.dark) .nav-links *,
html:not(.dark) .links,
html:not(.dark) .links *,
html:not(.dark) .topbar:not(.bg-white),
html:not(.dark) .topbar:not(.bg-white) *,
html:not(.dark) .d490-stat-item,
html:not(.dark) .d490-stat-item *,
html:not(.dark) .d491-plan-cta,
html:not(.dark) .d491-plan-cta * {
color: #f1f5f9 !important;
}
/* Override if these have light bg explicitly */
html:not(.dark) .stat[style*="background:#fff"],
html:not(.dark) .stat[style*="background:white"],
html:not(.dark) .stat[style*="background-color:#fff"] {
color: #1f2937 !important;
}
/* Light text classes hardcoded sur bg light → force dark */
html:not(.dark) .text-zinc-50, html:not(.dark) .text-zinc-100, html:not(.dark) .text-zinc-200,
html:not(.dark) .text-slate-50, html:not(.dark) .text-slate-100, html:not(.dark) .text-slate-200,
html:not(.dark) .text-gray-50, html:not(.dark) .text-gray-100, html:not(.dark) .text-gray-200 {
color: #1f2937 !important;
}
/* But preserve inside actual dark containers */
html:not(.dark) .stat .text-zinc-100,
html:not(.dark) .stat .text-slate-100,
html:not(.dark) [class*="dark"] .text-zinc-100,
html:not(.dark) [style*="background:#0a"] .text-zinc-100,
html:not(.dark) [style*="background:#0f"] .text-zinc-100,
html:not(.dark) [style*="background:#11"] .text-zinc-100 {
color: #f1f5f9 !important;
}
/* === Variants of dark backgrounds === */
html:not(.dark) [style*="background:rgb(15,"] *,
html:not(.dark) [style*="background:rgb(20,"] *,
html:not(.dark) [style*="background:rgb(30,"] *,
html:not(.dark) [style*="background-color:rgb(15,"] *,
html:not(.dark) [style*="background-color:rgb(20,"] *,
html:not(.dark) [style*="background-color:rgb(30,"] *,
html:not(.dark) [style*="background:rgba(8,"] *,
html:not(.dark) [style*="background:rgba(10,"] *,
html:not(.dark) [style*="background:rgba(14,"] *,
html:not(.dark) [style*="background:rgba(15,"] *,
html:not(.dark) [style*="background:rgba(20,"] *,
html:not(.dark) [style*="background:rgba(30,"] *,
html:not(.dark) [style*="background-color:rgba(8,"] *,
html:not(.dark) [style*="background-color:rgba(10,"] *,
html:not(.dark) [style*="background-color:rgba(14,"] *,
html:not(.dark) [style*="background-color:rgba(15,"] *,
html:not(.dark) [style*="background-color:rgba(20,"] *,
html:not(.dark) [style*="background-color:rgba(30,"] * {
color: #f1f5f9 !important;
}
/* D555 - Désactive TOUTES animations infinite platform-wide
Préserve uniquement les status dots intentionnels (3-4 classes connues)
*/
/* === Force toutes animations one-shot === */
* {
animation-iteration-count: 1 !important;
animation-fill-mode: forwards !important;
}
/* === Whitelist : status dots qui DOIVENT pulser intentionnellement === */
.live-dot,
.pulse-dot,
.status-pulse,
.pulse-only,
[class="pulse-dot"],
[class="live-dot"],
.pulse-indicator,
.dot-pulse {
animation-iteration-count: infinite !important;
}
/* === Kill spécifique des animations longues qui font respirer la page === */
* {
animation-duration: 0s !important;
}
.live-dot, .pulse-dot, .status-pulse, .pulse-only,
.pulse-indicator, .dot-pulse {
animation-duration: 2s !important;
}
/* === Override fade-in/slide-up: instant (no animation needed) === */
[class*="fade-in"], [class*="fadeIn"], [class*="fade-up"], [class*="fadeUp"],
[class*="slide-up"], [class*="slideUp"], [class*="enter-"], [class*="reveal"],
[class*="card-fade"], [class*="organic"] {
animation: none !important;
opacity: 1 !important;
transform: none !important;
}
/* === Disable hover transforms qui peuvent paraître pulser === */
[style*="transform: scale"]:not(:hover) { transform: none !important; }
:root {
--wtp-bg-light: #F5F0EB;
--wtp-text-light: #1A1A2E;
--wtp-accent-light: #2563EB;
--wtp-surface-light: #FFFFFF;
--wtp-muted-light: #6B6B7B;
--wtp-bg-dark: #1A1A2E;
--wtp-text-dark: #E0E0E0;
--wtp-accent-dark: #60A5FA;
--wtp-surface-dark: #252540;
--wtp-muted-dark: #A0A0B0;
}
html[data-theme='light'], body[data-theme='light'] {
--bg-primary: var(--wtp-bg-light);
--text-primary: var(--wtp-text-light);
--accent-primary: var(--wtp-accent-light);
--surface-primary: var(--wtp-surface-light);
--text-muted: var(--wtp-muted-light);
background-color: var(--wtp-bg-light) !important;
color: var(--wtp-text-light) !important;
}
html[data-theme='dark'], body[data-theme='dark'] {
--bg-primary: var(--wtp-bg-dark);
--text-primary: var(--wtp-text-dark);
--accent-primary: var(--wtp-accent-dark);
--surface-primary: var(--wtp-surface-dark);
--text-muted: var(--wtp-muted-dark);
background-color: var(--wtp-bg-dark) !important;
color: var(--wtp-text-dark) !important;
}
html[data-theme='light'] body, html[data-theme='dark'] body {
background-color: var(--bg-primary) !important;
color: var(--text-primary) !important;
}
html[data-theme='light'] div, html[data-theme='light'] section, html[data-theme='light'] article,
html[data-theme='dark'] div, html[data-theme='dark'] section, html[data-theme='dark'] article {
background-color: transparent;
}
WEVIA Master Control Center V77 · Training · Monitor · Brain · Multiagent · Empire
Auto: OFF
1 min 5 min 10 min 30 min
▶ Démarrer auto-training
🚀 Test tous maintenant
📦 Export JSON
📊 Dashboard
🎯 Intents 0
🧠 Training 0
🛠 Skills & Gaps 0
🧬 Brain
⚡ Benchmark 12
🧠 Brain Monitoring LIVE
📚 Capabilities 5654
✅ Acquis 13
🧠 WEVIA Brain 50
🏅 Lean 6σ·TOC DMAIC
🧩 Cognitive 45
📖 KB·Doctrines 82
🏗️ IA Building V66
📏 Honest V70
🧪 QAHub V71
🛡️ Risk+Plan V71
ð¤ Multiagent V73
📜 Logs
950 agents
sur 17k skills indexed
13 /13
cascade LLM providers
ANDON LEAN 6 SIGMA
ON TARGET
NonReg -/-
L99 -/-
Intents -/-
DPMO (defauts/million)
6sigma
6s
On target OK
Warn 0
Fail 0
target 3.4 DPMO
HEATMAP ECOSYSTEME 144 composants
real-time
ACQUIS LIVE vs CIBLE
... coverage
progression targets (sparkline 30 cycles)
DOCTRINE ZERO DORMANT TARGET
ACHIEVED
0
real dormants
(V65 anti-loop scan)
Zero Dormant Target ACHIEVED - tester approuve
Les
917 dormants V59 etaient
pollution symlinks monorepos (activepieces/packages + boucles deer-flow). Scan V65 avec visited_realpaths + EXCLUDED_PARENTS + EXCLUDED_NAMES =
0 real dormants .
Tier2 opportunités résiduelles: wevia-backoffice 86KB (V68) / visual-brain 27KB (V68) / consensus-engine 6KB (V68) / embed-model (V67 in progress)
IA Build Standards - Anthropic RSP / ISO 42001 / NIST AI RMF / PMI IA / CMMI-DEV v2.0 / DORA 4 Keys / SRE SLO / Lean 6sigma / Toyota Visual Management - Refresh auto 15s
🎓
Auto-Training Sessions · Apprentissage Continu
WEVIA Master · SSE streaming · Kaizen loop
Pipeline auto: multi-agent exec + capture resultats + feedback loop + stockage RAG + Kaizen amelioration continue
Sessions completees
30
V42-V72 cycles + L99 runs + SSE queries
Intents wired
141
V42-V66 total
Success rate
100%
L99 153/153
Learning mode
Adaptive
RAG feedback
🔄 Pipeline Auto-Training (6-step Kaizen loop)
→
🤖
2. Multi-agent
24 agents //
→
→
→
💾
5. RAG store
Qdrant embed
→
📊 Auto-Training Runs (historique)
via "Démarrer auto-training"
⏳ Aucune session demarree. Click "▶ Démarrer auto-training" (top-right) pour lancer un cycle complet L99 + multi-agent + capture feedback RAG.
🎯 Objectifs Training V66
✓ Coverage 100% Tester tous intents V42-V66
✓ L6S ON TARGET DPMO 0 · 21 cycles stable
✅ Agent autonomy 100 % Live KPI · V67 target reached
✓ Feedback loop RAG Auto-embed answers Qdrant
🎓 Training Framework V66 — Kaizen continu · Auto-feedback RAG · Multi-agent cascade · Anti-regression GOLD+LINT+chattr · L99 153/153. Chat: "démarrer auto-training" ou "multiagent live stream".
🛠 Skills & Tools à acquérir
Gaps autonomy détectés par V43 audit
Intents suggestions auto-générés
🧬 Brain WEVIA — Providers
13 providers 0€ sovereign cascade
HuggingFace Hub · fine-tune principal · dataset auto-training de ce control center
Ouvrir sur huggingface.co (pas sur reachhcp.wevup.app)
Ollama local
Port 11434 · fallback offline · HCP-sensitive
🧰 Tools Registry (composition brain)
Chargement...
📚 Sujets custom enregistrés
⚡ Benchmark IA 2026 — WEVIA vs Frontier Models
Source: Vellum LLM Leaderboard + BenchLM.ai · avril 2026
WEVIA Sovereign Cascade v3 combine 13 providers (Cerebras primary, Groq/Mistral/Gemini fallback, Claude Opus 4.7 deep mode) → 0€ vendor lock-in, souverain, contexte REACHCP custom.
Trier par
GPQA Diamond
SWE-Bench
MATH 500
AIME 2025
Arena Code Elo
Tokens/sec
Prix Input
🧠 WEVIA Brain Monitoring Live
Apprentissage temps-réel · Auto-intent detection · Self-audit
💭 NO_EXEC detected
—
Last 500 events scan
🎯 Patterns candidates
—
Auto-intent proposals
📝 Proposals pending
—
Awaiting Yacine approval
⚡ Auto-intent generation from NO_EXEC
WEVIA observe ses lacunes → propose candidats → Yacine valide
🔍 Scanner logs NO_EXEC
🔄 Refresh proposals
📊 Learning Pulse (60s window)
Activité temps-réel du cerveau WEVIA
📚 Capabilities Inventory — 5654 capacités mobilisables ✅ Toutes accessibles via NL chat
Inventaire 22 catégories sources /var/www/html + /opt/wevia-brain + /opt/weval-l99/wiki → AUCUNE action requise, tout est déjà wired ou intentionnel
🌐 Hubs pages
37
/var/www/html/*hub*.html
--
priority-intents-nl.json
📦 Archived wiki
24
wiki manifests
🔌 Backend PHP
26
/api/*intent*.php
💎 DORMANT wevia-ia
125
backoffice 86KB+api 59KB+visual-brain 27KB
🗃 S89 AI APIs
33
ai-bridge+copywriter+rotation
🎼 Orchestrators
10
2 active + 8 dormant
🧰 Tool registries
3
v2(444)+v3(16)+main(444)
🧠 BRAIN nucleus
15
masteries (code/cyber/rpa/ssh/cognitive)
👤 Personas
6
cloud-arch/cyber/data/email/fullstack/sap
📜 System prompts
24
opus-*/agent-*/system-*/skill-*
📚 Knowledge bases
11
ai-arch/business/cloud/cyber/devops/email
🎓 KB Deep
17
powermta+pharma-hcp+sap-s4hana+huawei
🎨 OSS Skills (+4247)
110
piebald+claude+weval · cache: 4247
11
crewai/guardian/l99/nonreg/ops/radar/security
📦 OSS repos clonés
39
SuperClaude/autogen/authentik/anythingllm+36
🦾 OPUS artifacts
133
opus5-*/cognitive-opus46/opus-arch/hooks/dispatcher
🧮 QDRANT collections
17
kb_ethica_pharma+wevia_memory_768+bpmn+vsm
🌐 RND plugins domaines
74
accessibility/agent-orch/blockchain/cicd/cloud/k8s/ml-ops
📓 Obsidian vault
8
55 doctrines + 11 KB + decisions + sessions
🧬 Memory systems
3
claude-mem + supermemory + wevia knowledge
🤖 Agent frameworks
11
SuperClaude+autogen+HolyClaude+deer-flow+aios+swarm
📂 Other OSS
21
antigravity-skills/awesome-*/flowise/twenty+autres
✅ 5654 CAPACITÉS MOBILISABLES PAR WEVIA MASTER (917 assets + 5651 skills OSS) 📋 Toutes accessibles via WEVIA chat NL. AUCUN dormant à réveiller . Le terme "dormants" était hérité du scan V59 buggé (pollution symlinks monorepos). Scan V65 confirmé: 0 vraiment inactifs . 22 catégories (+ opus/qdrant/rnd/obsidian/memory/frameworks).
✅ V60 Tier 1 WIRED (5 bridges LIVE) — API /api/wevia-v60-tier1-bridges.php?action=v60_status : 🦾 cognitive-opus46-advanced 59KB lint OK · 🧮 Qdrant kb_ethica_pharma (16 pts, 768d, green) · 🧬 SuperClaude_Framework (6 subdirs, 20 MD) · 📓 55 doctrines obsidian · 🔧 oss-discovery régression FIXED (chattr unlock+3 fixes+relock). Endpoints : opus_advanced_ping, qdrant_ethica_search, superclaude_skills, doctrines_list, doctrine_read, v60_status.
🌐 Hubs (37)
📦 Archived (24)
🔌 Backend (26)
💎 wevia-ia (125)
🗃 S89 (33)
🎼 Orch (10)
🧰 Reg (3)
🧠 Nucleus (15)
👤 Personas (6)
📜 Sys prompts (24)
📚 KBs (11)
🎓 KB Deep (17)
🎨 OSS Skills (110)
📦 OSS repos (39)
🦾 Opus (133)
🧮 Qdrant (17)
🌐 RND plugins (74)
📓 Obsidian (8)
🧬 Memory (3)
🤖 Frameworks (11)
📂 Other OSS (21)
ð¤ Multiagent Orchestrator V72 -- 950 agents TOTAL (243 structured + 950 EM manifest) - V73 mega-aggregator
V71 extension -- /api/wevia-orchestrator-extra-agents.php
Architecture : 16 hardcoded core + 10 V71 ext + N nouveaux V72 = 26+ agents
4 modes : list, run, multi (smart kw), all (parallel)
Chat commands -- v71 super bilan fires all 10 ext, multiagent smart kw-filtered, liste agents orchestrator catalog
Vue aérienne complète · Admin ⬌ Public ⬌ Widget · 52 intents + 8 public safe
WEVIA Intelligence Architecture · 17 avril 2026
USER INTERFACES (L1)
wevia-master.html
ADMIN · 52 intents · FULL OPEN
wevia.html
PUBLIC · 8 intents safe
wevia-widget.html
WIDGET · sovereign direct
wevia-training.html
Control Center V55
ROUTING LAYER (L2)
wevia-sse-orchestrator.php
695L · 52 intents · FULL ADMIN
wevia-sse-orchestrator-public.php
109L · 8 intents whitelist + blacklist
wevia-chat.php
router (V52 capability + V51 scope)
wevia-auto-intent.php
V55 NEW · scan/propose/dormants
SOVEREIGN CASCADE (L3) · 13 providers · 0 EUR
Cerebras
PRIMARY
2500 t/s · 50ms
Groq
2100 t/s
Mistral
EU sovereign
Gemini
AIME 45.8%
Claude Opus 4.7
DEEP MODE
GPQA 94.2%
HF Inference
2 models
CF Workers AI
free tier
+5 others
SambaNova NVIDIA
HF Fine-tune
weval-brain-v4
PROPRIETARY
DATA & STATE (L4)
PostgreSQL
Ethica 157861 HCP
adx_system + adx_clients
State Vault
/opt/wevads/state/
partnerships JSON
Qdrant Vector
kb_ethica_pharma
1650 entries embedded
Tools Registry
wevia-tool-registry.json
444 tools
Capabilities inventory
37 hubs + 159 priority-nl + 24 archived
→ V55 auto-intent candidats
META-INTELLIGENCE (L5)
Auto-intent V55 (NO_EXEC → propose)
Self-audit L99 (153/153)
Anti-corruption (GOLD+LINT+chattr)
Git dual-sync (Gitea+GitHub)
5 Layers: UI (master/public/widget/training) → Routing (orch admin/public/chat/auto-intent) → Sovereign Cascade (13 providers 0€) → Data (PG 146K HCP/Vault/Qdrant 1650/Registry 444/Dormants 220) → Meta (auto-intent V55/L99/anti-corruption/git dual-sync).
🏆
Dashboard Management Visuel — Acquis vs Dormant
...%
Lean 6σ · Anti-régression · Doctrine management visuel
Tableau de bord visuel inspiré Toyota Production System · Andon · OEE · DMAIC
🧠
Training & Apprentissage Temps Réel
LIVE stream · WEVIA Master cognitive feedback
● Connecté
Sessions activés
-
0 dernière min
Intents exécutés
-
taux succès
Latence moy (ms)
-
last 10 execs
⏳ En attente d'événements WEVIA Master...
Vélocité d'apprentissage (execs/30s)
source: /api/wevia-sse-orchestrator.php telemetry · refresh 5s
-
Acquis vs total
calculating...
-
V42 → V63 · Zero defect streak
📊 Répartition Acquis par catégorie
source: /api/wevia-v63-acquired-enriched.php
🍩 Pie Intents Wired par version
🔥 Heatmap Intents — santé par version (Lean visuel)
vert = stable · jaune = partial · rouge = fail
🚨 Andon — Dormants à wirer (Kanban Tier)
Doctrine anti-régression V63 — Tous les acquis ci-dessus sont protégés par chattr +i ou GOLD backup. Refresh auto 30s. APIs consultables via WEVIA Master chat: "acquis enriched ", "rag stats ", "lean 6 sigma ".
🧠
WEVIA Brain - Inventaire Complet
...
source: /api/wevia-v65-brain-api.php
Full stack: Prompts + KB + RAG + Doctrines + Skills + Intents + Multi-agents + Infra
🧠 Prompts totaux
-
nucleus+personas+system+5
📚 Knowledge Bases
-
- deep docs
📜 Doctrines Obsidian
-
loadable v61_doctrine_autoload
🔮 RAG Vectors
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- collections
🎯 Intents wired
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orch+V61+V62
🏅
Lean 6σ · Theory of Constraints (TOC) · DMAIC
ON TARGET
⚠️ TOC Constraints (contraintes identifiées)
🧩
Cognitive Patterns · Prompts · Personas
...
Cognitive masteries nucleus + personas + system prompts + reasoning (CoT/ToT) + guardrails
📖
Knowledge Bases & Doctrines Obsidian
...
📚 Knowledge Bases (domaines)
📜 Doctrines sample (Obsidian vault)
IA Building & Enhancing — Framework Standards Internationaux
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Anthropic RSP · ISO 42001 · NIST AI RMF · DORA · CMMI · L6σ
Inspiré normes Anthropic (track Opus development), PMI IA, ISO 42001, NIST AI RMF, CMMI-DEV v2.0, DORA 4 Keys, SRE SLO, Toyota Visual Management
🧩 Capabilities Inventory — 11 composants IA
tiers 1/2/3 · CMMI maturity · anti-régression lock
⚡ Gaps & Opportunities Analysis
severity + capability impacted + effort MD + target version
🔒 Capability Lock (Anti-Régression)
... cycles
...
V66 Framework — KPIs standards internationaux. Refresh auto 30s. Commandes chat WEVIA: "ia building kpi", "gap analysis", "roadmap ia".
📏
Honest Tracker — ZERO PIPO
V70
TOC Goldratt / MMLU-HELM-BBH / Qualification honest
Chiffres reels source-of-truth aligne WTP+OSS / TOC 5FS Goldratt / Benchmarks internationaux declares / HAVE vs HAVE-NOT / Domaines couverture reelle
🎯 CHIFFRES REELS (aligne WTP + source-of-truth)
HONEST
TOC — Theory of Constraints (Goldratt 5FS)
Bottleneck: ...
5 Focusing Steps Goldratt applique:
🏆 Benchmarks IA Internationaux (declares - pas de simulation)
⚡ Run LLM Comparison Real-time
✅ HAVE — Capabilites confirmees
...
HAVE NOT — Gaps honnetes
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🌍 Domaines couverts (profondeur reelle)
evidence-based
📏 Honest Tracker V70 — Zero pipo / Chiffres source-of-truth aligne WTP+OSS / Benchmarks declares pas claim / Gap tracking honnete / Refresh 30s. Chat: "honest tracker", "toc bottleneck", "benchmark llm".
🧪
QAHub — Test Strategy & Non-Regression Defense in Depth
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ISO 29119 · ISTQB · DORA · SRE · OWASP · Anthropic RSP · Netflix Chaos
Swiss cheese defense (Reason) / Martin Fowler Test Pyramid / Google SRE Book / 8 independent layers anti-régression
🔺 Test Pyramid — 8 layers (Fowler / ISO 29119 / ISTQB)
coverage + gap honest
🚀 DORA 4 Keys (Accelerate — Forsgren)
📈 SRE SLO (Google SRE Book)
Anti-Régression Strategy — 8 couches Swiss Cheese (Reason)
defense in depth
📐 Standards internationaux (declared + status honest)
🎯 Next Actions — Priorisées V72-V74
🧪 QAHub V71 — Refresh auto 30s via /api/wevia-v71-qahub.php. Chat: "qahub", "test pyramid", "dora keys", "anti regression strategy".
AI Risk Management + Hallucination + Plan Action
V71
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NIST AI RMF / ISO 23894 / EU AI Act / Anthropic RSP / RAGAS / HaluEval / FActScore / TruthfulQA / SelfCheckGPT / FEVER / AIS
Risk Management KPIs (4 NIST phases)
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👻 Hallucination Tracking - 7 benchmarks internationaux
HONEST: tous NOT EVALUATED
🌐 IA Build Best Practices (10 areas normes internationales)
🎯 Plan d'Action Dynamique - WEVIA construit / maintient / avance
+ Ajouter item
All
Backlog
In progress
Wired
Done
🔥 Critical
📦 GitHub
💻 Source pure
🧠 Training
🛡️ V71 Risk Management + Hallucination + Dynamic Plan — NIST/ISO/EU/Anthropic standards · RAGAS/HaluEval/FActScore/TruthfulQA benchmarks · Plan Yacine-managed persisted /var/www/html/data/v71_action_plan.json · Refresh 30s. Chat: "risk management", "hallucination benchmark", "action plan".
📜 Console Control Center
🗑 Vider
🔮 DSH PREDICT · WePredict Dashboard
LIVE
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Load predicted (next 1h)
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Alert threshold
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auto-heal armed
Learned patterns
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auto-learned
Brain Training D217