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

adc.yaml

@@ -17,7 +17,7 @@ services:
         vars:
           - - uri
             - "~~"
-            - "^(?!/api)"
+            - "^(?!/api|/docs)"
         priority: 1
         plugins:
           redirect:
@@ -35,11 +35,20 @@ services:
           port: 80
           weight: 100
     routes:
-      - name: nginx-api-route
+      - name: nginx-api-docs-route
         uris:
-          - /api
-          - /api/*
-        priority: 10
+          - /docs
+          - /docs/*
+        priority: 30
+        plugins:
+          redirect:
+            http_to_https: true
+
+      - name: nginx-api-llm-route
+        uris:
+          - /api/llm
+          - /api/llm/*
+        priority: 20
         plugins:
           redirect:
             http_to_https: true
@@ -48,3 +57,18 @@ services:
             time_window: 60
             rejected_code: 429
             limit_strategy: "total_tokens"
+
+      - name: nginx-api-route
+        uris:
+          - /api
+          - /api/*
+        priority: 10
+        plugins:
+          redirect:
+            http_to_https: true
+          limit-count:
+            count: 100
+            time_window: 60
+            rejected_code: 429
+            key_type: "var"
+            key: "remote_addr"