Add LLM endpoints, web frontend, and rate limiting config

- Added OpenAI-compatible LLM endpoints to API backend - Introduced web
frontend with Jinja2 templates and static assets - Implemented API proxy
routes in web service - Added sample db.json data for items, users,
orders, reviews, categories, llm_requests - Updated ADC and Helm configs
for separate AI and standard rate limiting - Upgraded FastAPI, Uvicorn,
and added httpx, Jinja2, python-multipart dependencies - Added API
configuration modal and client-side JS for web app

web/.env.example

@@ -0,0 +1,12 @@
+# API Backend Configuration
+# Set this to the base URL where the API service is running
+
+# Local development
+API_BASE_URL=http://localhost:8001
+
+# Production
+# API_BASE_URL=https://commandware.it/api
+
+# Other examples
+# API_BASE_URL=http://api:8001
+# API_BASE_URL=http://192.168.1.100:8001