- Kiosk mode: fullscreen, wake lock, auto-login, context menu block, PWA/Capacitor detection
- AI vision: camera photos analyzed by Gemma 3 27B vision model via OpenRouter
- AI part classification: auto-suggest name/brand/category when entering part number
- Public catalog chatbot: /api/chat endpoint with rate limiting, chat widget on catalog page
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Chat now fetches tenant inventory summary (brands, counts, low-stock)
and injects it into the AI system prompt so responses prioritize local
stock. VIN decoder uses free NHTSA vPIC API to decode 17-char VINs and
auto-fills the vehicle selector dropdowns when a catalog match is found.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
1. Symptom diagnosis: AI now detects vehicle symptoms and suggests probable parts
2. Smart quotations: "cotizame frenos completos" returns multiple search_queries (pipe-separated), backend searches each term and deduplicates
3. Photo identification: camera button in chat widget uploads image and sends placeholder prompt (ready for vision model)
4. Multilanguage: AI detects user language and responds accordingly, search_query always in English
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
El chatbot ahora busca primero en el inventario local del tenant
y luego en el catalogo TecDoc. Resultados muestran badge:
- Verde "MI INVENTARIO" para partes locales
- Azul "CATALOGO" para partes del catalogo TecDoc
Busqueda local funciona en español e inglés.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- System prompt: SIEMPRE devuelve search_query en ingles
- Diccionario de traducciones (balatas→Brake Pad, etc.)
- Busca directo sin preguntar mas info
- Fallback: extrae keywords si AI no da search_query
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
