Enhance AI chat functionality for property inquiries

- Updated the system message to clarify the AI's capabilities, emphasizing access to a real property database and the ability to search for properties.
- Implemented logic to detect user interest in properties and automatically search the database for relevant listings, providing detailed responses with property information.
- Improved the response structure to include a summary of available properties, enhancing user engagement and interaction flow.

ai_chat.py

@@ -58,18 +58,26 @@ async def chat_with_session_memory(state):
         context += f"Persona: {persona}\n"
     
     # Add system message with context
-    system_message = f"""You are a friendly, professional industrial property agent assistant. Be conversational and human-like in your responses.
+    system_message = f"""You are a friendly, professional industrial property agent assistant with access to a real property database. Be conversational and human-like in your responses.
 
 Context:
 {context}
 
 Key guidelines:
-- You are a property agent with access to real property listings
+- You are a property agent with access to real property listings in a database
+- You can search the database for properties using the search_properties_for_ai() function
+- When users ask about properties, search the database and provide real property information
+- NEVER say you can't help or suggest other websites - you have real property data
 - Be helpful and informative about industrial properties
 - Keep responses conversational and not robotic
 - Always respond naturally and conversationally
 - Use the conversation context to understand what the user needs
 
+Available functions:
+- search_properties_for_ai(city=None, min_size=None, features=None, price_type=None, limit=5) - Search for properties in the database
+
+When users ask about properties, search the database and provide the actual property listings with details like title, location, size, price, and features.
+
 Respond naturally to the user's message: {user_message}"""
 
     # Use LLM to generate response
@@ -85,6 +93,42 @@ Respond naturally to the user's message: {user_message}"""
         response = llm.invoke(messages)
         ai_response = response.content.strip()
         
+        # If the AI response suggests it needs property information, search the database
+        if any(keyword in user_message.lower() for keyword in ["property", "properties", "warehouse", "office", "space", "johannesburg", "cape town", "pretoria", "durban"]):
+            # Extract city from persona or message
+            city = None
+            if persona.get("location_preference"):
+                city = persona["location_preference"]
+            
+            # Search for properties
+            properties = await search_properties_for_ai(city=city, limit=5)
+            
+            if properties:
+                # Create a detailed property response
+                property_response = "🏢 **Available Properties:**\n\n"
+                for i, prop in enumerate(properties[:3], 1):
+                    property_response += f"**{i}. {prop['title']}**\n"
+                    property_response += f"📍 {prop['location']}, {prop['city']}\n"
+                    property_response += f"📏 {prop['size_sqm']} sqm • 💰 R{prop['price']:,.0f}/month\n"
+                    if prop.get('listing_url'):
+                        property_response += f"🔗 {prop['listing_url']}\n"
+                    if prop.get('features'):
+                        property_response += f"✨ {', '.join(prop.get('features', [])[:3])}\n"
+                    property_response += "\n"
+                
+                property_response += "Which property interests you? I can show you photos, provide more details, or help you schedule a viewing!"
+                
+                return {
+                    "response": property_response,
+                    "user_message": user_message,
+                    "ai_response": property_response,
+                    "session_id": session_id,
+                    "wa_id": wa_id,
+                    "wamid": wamid,
+                    "current_property": None,
+                    "property_details": {}
+                }
+        
         return {
             "response": ai_response,
             "user_message": user_message,