🤖 WEVIA Multi-Agent · 2440 capacités V77 · 30 PARALLEL

Capacités totales
2440
Skills + Tools + Intents
Agents Parallel
30
Multi-agent dispatch V77
Intents ACTIVATED
233
+218 PENDING absorbed
Auto-Wire NL
● LIVE
Doctrine 152 fix racine
Plan-Execute
● LIVE
Pattern Claude/dispo wevcode
Self-Meta
55
Lines learning_log live

📊 Capabilities Breakdown (2440 total)

📈 Agent Throughput (24h rolling)

🤖 V77 Multi-Agent Status — 30 Parallel Live

Active Busy (en mission) Idle Slow

🎯 Intents Pool (mobilisable on demand)

Active intents202
PENDING (autowire)2336
ACTIVATED total233+
Tool registry650 tools (560 exec)
Resolver intents3/3 OK
Auto-wire success94%

🧠 Capabilities Inventory

Top categories

⚙ Ops & Infra587 caps
🔍 Search & Retrieval412 caps
📧 Email & Comms389 caps
🤖 AI Inference348 caps
📊 Data & Analytics318 caps
🔒 Security & Audit231 caps
🎨 UX & Design155 caps

⚡ Auto-Wire NL · Plan-Execute Pattern

NL → Intent dispatch
Route demande NL → match intent → exec stub-dispatcher-v2
v103-natural-multi-agent-router
Auto-wire missing
Si intent manquant → opus4-autowire-early crée stub PENDING_APPROVAL
opus4-autowire-early
Batch ACTIVATE
sed PENDING_APPROVAL→ACTIVATED sur tous stubs
batch_activate_pending
Plan-Execute pattern
Pattern Claude wevcode : plan → dry-run → exec → log
wevcode-claude-plan-pattern
Cascade fallback auto
Cerebras → CF Workers AI → Groq automatique
port-4000-sovereign-cascade
Self-meta logging
Chaque run → meta-cognition log + Qdrant indexing
/var/www/html/api/learning-log.txt

📈 Business KPI Live

NonReg score153/153 (100%)
L99 quality322/322
7σ stability150/150
Cycles stables18 consecutive
Heatmap composants144 monitored
Docker healthy19/19
Uptime S204multi-mois

📖 Doctrines Critiques

🎬 Génération Multi-Agent (mesures temps réel)

Avg dispatch time
340ms
Parallel ratio
87%
Token saved/day
~12M
Failures (24h)
3