feat(nordagpt): integrate company_matcher — AI sees only matched companies, eliminates hallucinations

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

nordabiz_chat.py

@@ -87,6 +87,14 @@ except ImportError:
     SMART_ROUTER_AVAILABLE = False
     logger.warning("Smart Router or Context Builder not available - using full context fallback")
 
+# Import company matcher for pre-selecting relevant companies (eliminates hallucinations)
+try:
+    from company_matcher import match_companies
+    COMPANY_MATCHER_AVAILABLE = True
+except ImportError:
+    COMPANY_MATCHER_AVAILABLE = False
+    logger.warning("Company matcher not available - using full company list")
+
 # Import memory service for user fact storage and prompt injection
 try:
     from memory_service import format_memory_for_prompt, extract_facts_async, summarize_conversation_async
@@ -449,6 +457,16 @@ class NordaBizChatEngine:
                 context = self._build_conversation_context(db, conversation, user_message)
                 effective_thinking = thinking_level
 
+            # Company Matcher — replace full company list with matched subset
+            if COMPANY_MATCHER_AVAILABLE:
+                try:
+                    matched = match_companies(user_message, user_context=user_context, max_results=15)
+                    context['matched_companies'] = matched
+                    context['all_companies'] = []  # Clear full list — use matched only
+                    logger.info(f"Company matcher found {len(matched)} companies for query")
+                except Exception as e:
+                    logger.warning(f"Company matcher failed: {e}, using full company list")
+
             # Get AI response with cost tracking
             response = self._query_ai(
                 context,
@@ -1450,9 +1468,41 @@ W dyskusji [Artur Wiertel](link) pytał o moderację. Pełna treść: [moje uwag
                 import logging
                 logging.getLogger(__name__).warning(f"Feedback learning error: {e}")
 
-        # Add ALL companies in compact JSON format
-        if context.get('all_companies'):
-            # Build explicit whitelist of allowed company names + slugs
+        # Add companies to prompt — matched (preferred) or full list (fallback)
+        matched = context.get('matched_companies', [])
+        if matched:
+            system_prompt += "\n\n🏢 FIRMY Z BAZY IZBY PASUJĄCE DO ZAPYTANIA:\n"
+            system_prompt += "Poniżej znajdują się JEDYNE firmy, które możesz wymienić w odpowiedzi.\n"
+            system_prompt += "NIE WOLNO Ci wymyślać ani dodawać ŻADNYCH innych firm.\n"
+            system_prompt += "Każdą firmę podawaj jako link: [Nazwa Firmy](/company/slug)\n\n"
+            for c in matched:
+                system_prompt += f"### {c['name']} → [link](/company/{c['slug']})\n"
+                if c.get('category'):
+                    system_prompt += f"Kategoria: {c['category']}\n"
+                if c.get('description'):
+                    system_prompt += f"Opis: {c['description'][:400]}\n"
+                if c.get('services'):
+                    system_prompt += f"Usługi: {c['services'][:300]}\n"
+                if c.get('structured_services'):
+                    system_prompt += f"Oferta: {', '.join(c['structured_services'][:10])}\n"
+                if c.get('ai_insights'):
+                    ins = c['ai_insights']
+                    if ins.get('services_list'):
+                        system_prompt += f"Specjalizacje: {', '.join(ins['services_list'][:8])}\n"
+                    if ins.get('unique_selling_points'):
+                        system_prompt += f"Wyróżniki: {', '.join(ins['unique_selling_points'][:5])}\n"
+                if c.get('google_rating') and c.get('google_reviews'):
+                    system_prompt += f"Google: {c['google_rating']}/5 ({c['google_reviews']} opinii)\n"
+                if c.get('phone'):
+                    system_prompt += f"Tel: {c['phone']}\n"
+                if c.get('website'):
+                    system_prompt += f"WWW: {c['website']}\n"
+                if c.get('match_reasons'):
+                    system_prompt += f"Dopasowanie: {', '.join(c['match_reasons'])}\n"
+                system_prompt += "\n"
+            system_prompt += f"POWYŻSZE {len(matched)} FIRM TO JEDYNE, KTÓRE MOŻESZ WYMIENIĆ.\n"
+        elif context.get('all_companies'):
+            # Fallback: old behavior with all companies (when company_matcher unavailable)
             whitelist_lines = []
             for c in context['all_companies']:
                 name = c.get('name', '')
@@ -1773,6 +1823,16 @@ W dyskusji [Artur Wiertel](link) pytał o moderację. Pełna treść: [moje uwag
             else:
                 context = self._build_conversation_context(db, conversation, user_message)
 
+            # Company Matcher — replace full company list with matched subset
+            if COMPANY_MATCHER_AVAILABLE:
+                try:
+                    matched = match_companies(user_message, user_context=user_context, max_results=15)
+                    context['matched_companies'] = matched
+                    context['all_companies'] = []  # Clear full list — use matched only
+                    logger.info(f"Company matcher (stream) found {len(matched)} companies for query")
+                except Exception as e:
+                    logger.warning(f"Company matcher failed: {e}, using full company list")
+
             # Build full prompt
             full_prompt = self._build_full_prompt(context, user_message, user_context, thinking_level)