Catch all exceptions (not just ValueError) and return meaningful
error messages from OpenAI API errors instead of generic 500.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Actionable AI assistant that uses per-tenant Azure OpenAI credentials
to execute natural language commands against the render pipeline.
Backend:
- ChatMessage model + migration (session-based conversations)
- Chat service with 10 OpenAI function-calling tools:
list_orders, search_products, create_order, dispatch_renders,
get_order_status, set_material_override, set_render_overrides,
get_render_stats, check_materials, query_database
- All tools tenant-scoped (queries filtered by tenant_id)
- Write operations use httpx to call backend API internally
- Chat API: POST /chat/messages, GET /chat/sessions, DELETE session
- Conversation history preserved in DB (last 50 messages per session)
Frontend:
- Slide-out ChatPanel (right side, w-96, animated)
- User/assistant message styling with avatars and timestamps
- Session management (new chat, session history, delete)
- Typing indicator while waiting for AI response
- Floating chat button in bottom-right corner
- Error state for unconfigured AI tenants
Example: "Render all Kugellager products as WebP at 1024x1024"
→ Agent calls search_products + create_order + dispatch_renders
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Hartmut