v1.0 - Version stable: multi-PC, détection UI-DETR-1, 3 modes exécution
- Frontend v4 accessible sur réseau local (192.168.1.40) - Ports ouverts: 3002 (frontend), 5001 (backend), 5004 (dashboard) - Ollama GPU fonctionnel - Self-healing interactif - Dashboard confiance Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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.env.example
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.env.example
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# RPA Vision V3 Configuration
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# Copier ce fichier en .env et modifier les valeurs
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# cp .env.example .env
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# ============================================================================
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# Environment
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# ============================================================================
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ENVIRONMENT=development # development, staging, production
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DEBUG=false
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# ============================================================================
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# Server
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# ============================================================================
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API_HOST=0.0.0.0
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API_PORT=8000
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DASHBOARD_HOST=0.0.0.0
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DASHBOARD_PORT=5001
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# ============================================================================
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# Security (REQUIRED in production!)
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# ============================================================================
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# Générer avec: python -c "import secrets; print(secrets.token_urlsafe(32))"
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# ENCRYPTION_PASSWORD=your_secure_password_here
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# SECRET_KEY=your_secret_key_here
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# ALLOWED_ORIGINS=https://yourdomain.com,https://api.yourdomain.com
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# ============================================================================
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# Models
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# ============================================================================
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CLIP_MODEL=ViT-B-32
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CLIP_PRETRAINED=openai
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CLIP_DEVICE=cpu # cpu or cuda
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VLM_MODEL=qwen3-vl:8b
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VLM_ENDPOINT=http://localhost:11434
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OWL_MODEL=google/owlv2-base-patch16-ensemble
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OWL_CONFIDENCE_THRESHOLD=0.1
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# ============================================================================
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# Paths
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# ============================================================================
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DATA_PATH=data
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MODELS_PATH=models
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LOGS_PATH=logs
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UPLOADS_PATH=data/training/uploads
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SESSIONS_PATH=data/training/sessions
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# ============================================================================
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# FAISS
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# ============================================================================
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FAISS_DIMENSIONS=512
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FAISS_INDEX_TYPE=Flat # Flat, IVF, HNSW
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FAISS_METRIC=cosine # cosine, l2, ip
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FAISS_NPROBE=8
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FAISS_AUTO_OPTIMIZE=true
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FAISS_MIGRATION_THRESHOLD=10000
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