updated and integrated backedn apis

api/models/requests.py

@@ -1,6 +1,6 @@
 # api/models/requests.py
 from pydantic import BaseModel
-from typing import List,Dict
+from typing import List,Dict, Optional
 
 class BaseRequest(BaseModel):
     pass
@@ -13,7 +13,7 @@ class ChatMessage(BaseModel):
 class ChatRequest(BaseModel):
     query: str
     history: List[ChatMessage] = []
-
+    customer_metadata: Optional[Dict] = None  # Customer info: name, email, phone, user_id
 
 
 class SurveyRequest(BaseModel):

api/routes/chat.py

@@ -23,13 +23,20 @@ async def chat_ai(
         logger.info(f"Starting chat request with query: {request.query}")
         logger.info(f"History length: {len(request.history)}")
         
+        # Extract customer metadata if provided
+        customer_metadata = request.customer_metadata
+        if customer_metadata:
+            logger.info(f"Customer metadata provided: {list(customer_metadata.keys())}")
+        else:
+            logger.info("No customer metadata provided")
+        
         # Convert to internal Message format
         history = [Message(role=msg.role, content=msg.content) for msg in request.history]
         logger.info(f"Converted history to internal format: {len(history)} messages")
         
-        # Initialize DroneBot with history
+        # Initialize DroneBot with history and customer metadata
         logger.info("Initializing DroneBot...")
-        bot = DroneBot(history=history, use_openai_as_fallback=True)
+        bot = DroneBot(history=history, use_openai_as_fallback=True, customer_metadata=customer_metadata)
         logger.info("DroneBot initialized successfully")
         
         # Get response from DroneBot