feat(vision): add verbose description to garment extraction

- Extend VLM prompt to request a 1-2 sentence natural language
description per garment (style, fit, notable details)
- Include description field in garment normalization
- Update get_catalog_summary() to show descriptions in LLM context,
improving outfit recommendation quality

Co-authored-by: Cursor <cursoragent@cursor.com>

src/catalog.py

@@ -126,10 +126,15 @@ def get_catalog_summary() -> str:
         pattern = g.get("pattern", "?")
         season = g.get("season", "?")
         formality = g.get("formality", "?")
-        lines.append(
+        description = g.get("description", "")
+
+        line = (
             f"- [{gid}] {color} {gtype} ({material}, {pattern}) "
             f"| season: {season} | style: {formality}"
         )
+        if description:
+            line += f"\n  → {description}"
+        lines.append(line)
 
     return "\n".join(lines)
 

src/vision.py

@@ -29,6 +29,7 @@ Each object MUST have these exact fields:
 - "pattern": pattern type ("solid", "checkered", "striped", "floral", "cable-knit", "plaid"), or "solid"
 - "season": best season ("spring", "summer", "autumn", "winter", "all")
 - "formality": style level ("casual", "smart-casual", "formal")
+- "description": a short natural language description (1-2 sentences) of the garment including its style, fit, and any notable visual details. Example: "Chunky cable-knit oversized sweater in deep red with crew neck, warm and cozy for layering in cold weather."
 
 IMPORTANT: Only include clothing items, shoes, and fashion accessories. Do NOT include cameras, electronics, decorations, or other non-clothing objects.
 
@@ -101,6 +102,7 @@ def _normalize_garment(item: dict) -> dict:
         "pattern": item.get("pattern", "solid").lower().strip(),
         "season": item.get("season", "all").lower().strip(),
         "formality": item.get("formality", "casual").lower().strip(),
+        "description": item.get("description", "").strip(),
     }