feat(nordagpt): integrate smart router — selective context loading + adaptive model selection

Wire Smart Router and Context Builder into send_message(): queries are now classified,
only needed data is loaded via build_selective_context(), and model/thinking level
are determined by the router. Falls back to full context if router is unavailable.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

.claude/settings.json

@@ -1,4 +1,9 @@
 {
+  "permissions": {
+    "allow": [
+      "Bash(git commit:*)"
+    ]
+  },
   "enabledPlugins": {
     "firebase@claude-plugins-official": false,
     "greptile@claude-plugins-official": false,
@@ -14,7 +19,6 @@
     "vercel@claude-plugins-official": false,
     "supabase@claude-plugins-official": false,
     "figma@claude-plugins-official": false,
-    "ralph-wiggum@claude-plugins-official": true,
     "serena@claude-plugins-official": false,
     "agent-sdk-dev@claude-plugins-official": false,
     "plugin-dev@claude-plugins-official": false,
@@ -47,10 +51,5 @@
     "commit-commands@claude-plugins-official": true,
     "context7@claude-plugins-official": true,
     "code-review@claude-plugins-official": true
-  },
-  "permissions": {
-    "allow": [
-      "Bash(git commit:*)"
-    ]
   }
 }

nordabiz_chat.py

@@ -78,6 +78,15 @@ except ImportError:
     SENSITIVE_DATA_SERVICE_AVAILABLE = False
     logger.warning("Sensitive data service not available - messages will not be sanitized")
 
+# Import Smart Router and Context Builder
+try:
+    from smart_router import route_query
+    from context_builder import build_selective_context
+    SMART_ROUTER_AVAILABLE = True
+except ImportError:
+    SMART_ROUTER_AVAILABLE = False
+    logger.warning("Smart Router or Context Builder not available - using full context fallback")
+
 
 class NordaBizChatEngine:
     """
@@ -234,14 +243,46 @@ class NordaBizChatEngine:
             # Build context from conversation history and relevant companies
             # Use ORIGINAL message for AI (so it can understand the question)
             # but the sanitized version is what gets stored in DB
+
+            # Smart Router — classify query and select data + model
+            if SMART_ROUTER_AVAILABLE:
+                route_decision = route_query(
+                    message=user_message,
+                    user_context=user_context,
+                    gemini_service=self.gemini_service
+                )
+                logger.info(
+                    f"NordaGPT Router: user={user_context.get('user_name') if user_context else '?'}, "
+                    f"complexity={route_decision['complexity']}, model={route_decision.get('model')}, "
+                    f"thinking={route_decision.get('thinking')}, data={route_decision['data_needed']}, "
+                    f"routed_by={route_decision.get('routed_by')}"
+                )
+
+                # Build context — selective (via router) or full (fallback)
+                if route_decision.get('routed_by') != 'fallback':
+                    context = build_selective_context(
+                        data_needed=route_decision.get('data_needed', []),
+                        conversation_id=conversation.id,
+                        current_message=user_message,
+                        user_context=user_context
+                    )
+                else:
                     context = self._build_conversation_context(db, conversation, user_message)
 
+                context['_route_decision'] = route_decision
+
+                # Use router-determined thinking level
+                effective_thinking = route_decision.get('thinking', thinking_level)
+            else:
+                context = self._build_conversation_context(db, conversation, user_message)
+                effective_thinking = thinking_level
+
             # Get AI response with cost tracking
             response = self._query_ai(
                 context,
                 user_message,
                 user_id=user_id,
-                thinking_level=thinking_level,
+                thinking_level=effective_thinking,
                 user_context=user_context
             )
 
@@ -1372,12 +1413,21 @@ W dyskusji [Artur Wiertel](link) pytał o moderację. Pełna treść: [moje uwag
 
         # Get response with automatic cost tracking to ai_api_costs table
         if self.use_global_service and self.gemini_service:
+            # Read router decision from context to select model
+            route = context.get('_route_decision', {})
+            effective_model_id = None
+            model_alias = route.get('model')
+            if model_alias:
+                from gemini_service import GEMINI_MODELS
+                effective_model_id = GEMINI_MODELS.get(model_alias)
+
             response_text = self.gemini_service.generate_text(
                 prompt=full_prompt,
                 feature='ai_chat',
                 user_id=user_id,
                 temperature=0.7,
-                thinking_level=thinking_level
+                thinking_level=thinking_level,
+                model=effective_model_id
             )
             # Post-process to ensure links are added even if AI didn't format them
             return self._postprocess_links(response_text, context)

scripts/import_membership_fees.py

@@ -75,6 +75,9 @@ MANUAL_NAME_MAP = {
     'U WITKA': 77,
     'WIENIAWA': 36,
     'PZU': 100,
+    'EKOZUK': 31,
+    'PGK': 75,
+    'SKLEPY LORD': 76,
 }