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config/ai_prompt.md

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+# Technical Inventory Multi-Label Extraction Protocol
+
+Your goal is to extract precise hardware specifications for ALL relevant inventory items found in the image.
+
+## Intelligence Rules:
+1. **Filtering Strategy**: 
+   - **INCLUDE**: Standalone physical hardware, modules, cables, servers, and storage units.
+   - **EXCLUDE**: Generic mounting hardware (screws, nails, rails, brackets), paper licenses/documentation, or empty packaging, UNLESS they are the primary and only subject of the image.
+   - In cases like image labels listing multiple SKUs (e.g., 5m cable and 7m cable), TREAT EACH LINE AS A SEPARATE ITEM.
+
+2. **Field Definitions**:
+   - **Item**: Primary identity (Manufacturer + Core Class). Max 3 words (e.g., "Cisco SFP Module").
+   - **Type**: Asset classification (e.g., "SFP", "patch cords", "NVMe").
+   - **Description**: Technical summary emphasizing speed/capacity. Max 5 words.
+   - **Category**: Broad ecosystem (e.g., "Network", "Storage").
+   - **Connector**: Physical interface (e.g., "LC/UPC", "RJ45").
+   - **Size**: Capacity or Length (e.g., "1.6TB", "5m").
+   - **Color**: Physical distinguish color.
+   - **PartNr**: Absolute technical identifier (P/N, SKU). Omit Serial Numbers.
+   - **OCR**: Concise technical string for local heuristic matching. **EXCLUDE ALL SERIAL NUMBERS.**
+
+## Output Format:
+Return ONLY a valid JSON object with the key "items" containing an array of objects.
+Example:
+{
+  "items": [
+    {
+      "Item": "SFP Module",
+      "Type": "SFP",
+      "Description": "64G Gen7 Fibre Channel",
+      "Category": "Network",
+      "Connector": "LC",
+      "PartNr": "SFP-64G-G7",
+      "OCR": "SFP 64G GEN7 FC"
+    }
+  ]
+}

config/backend.env.example

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-# ============================================================
-# TFM aInventory — Backend Environment Variables
-# Copy this file to .env and fill in real values.
-# NEVER commit the real .env file to Git!
-# ============================================================
-
-# --- AI API Keys ---
-# Google Gemini API Key (Required for AI label OCR onboarding)
-# You can also set this in the root 'inventory.env' for Docker convenience.
-GEMINI_API_KEY=your_gemini_api_key_here
-
-# --- Security ---
-# JWT secret key — generate a strong random value for production:
-#   python3 -c "import secrets; print(secrets.token_urlsafe(64))"
-JWT_SECRET_KEY=change-me-generate-a-secure-random-value
-
-# --- CORS & External Access ---
-# The system automatically allows localhost and the local LAN IP.
-# Use EXTRA_ALLOWED_ORIGINS for Tailscale, VPNs, or FQDNs.
-# Example: EXTRA_ALLOWED_ORIGINS=100.78.182.27,inventory.my-domain.com
-EXTRA_ALLOWED_ORIGINS=
-
-# --- Data Paths (usually managed by startup scripts) ---
-# DATA_DIR=/app/data
-# LOGS_DIR=/app/logs