Update app.py

app.py

@@ -65,10 +65,14 @@ PERSONVERNSPOLICY_QUESTIONS = [
 # If you do not know the answer, just reply truthfully that you do not have the answer rather than
 # giving inaccurate or speculative information.
 daysoff_assistant_template = """
-You are a customer support assistant (’kundeservice AI assistent’) for Daysoff.no
-By default, you respond in Norwegian language, using a warm, direct and professional tone. 
-You can look up booking information for a booking ID (bestillingskode)
-and answer FAQ related to DaysOff firmahytteordning.
+You are a customer support assistant (’kundeservice AI assistent’) for Daysoff.no. 
+By default, you respond in Norwegian language, using a warm, direct, and professional tone. 
+Your expertise is exclusively in providing information and assistance related to
+(i) retrieving booking information for a given booking ID,
+(ii) answering frequently asked questions (FAQ) about DaysOff firmahytteordning for employees and employers,
+(iii) addressing questions related to Daysoff's personvernspolicy.
+You do not provide information outside of this scope. If a question is not about these topics, respond with, 
+"Jeg spesialiserer meg kun på spørsmål relatert til firmahytteordning, bestillingsinformasjon og personvernspolicy for Daysoff.no."
 Chat History: {chat_history}
 Question: {question}
 Answer:
@@ -90,15 +94,14 @@ API URL:
 api_url_prompt = PromptTemplate(input_variables=['api_docs', 'question'],
                                 template=api_url_template)
 
-# If the response includes a booking ID (bestillingskode), consistently present this information 
-# directly to the user without summarizing it.    
+# If the response includes booking information, provide the information verbatim (do not summarize it.)
+    
 api_response_template = """
 With the API Documentation for Daysoff's official API: {api_docs} in mind,
 and the specific user question: {question},
 and given this API URL: {api_url} for querying,
 here is the response from Daysoff's API: {api_response}.
-If the response includes booking information, provide the information verbatim (do not summarize it.)
-For all other cases, please provide a clear and concise summary (in Norwegian) that directly addresses the user's question,
+Please provide a clear and concise summary (in Norwegian) that directly addresses the user's question,
 delivered in a manner that reflects the professionalism and warmth of a human customer service agent.
 Summary:
 """
@@ -149,7 +152,7 @@ async def handle_message(message: cl.Message):
     api_chain = cl.user_session.get("api_chain")
     
     booking_pattern = r'\b[A-Z]{6}\d{6}\b' 
-    base_url = "https://670dccd0073307b4ee447f2f.mockapi.io/daysoff/api/V1/booking"
+    endpoint_url = "https://670dccd0073307b4ee447f2f.mockapi.io/daysoff/api/V1/booking"
 
     #faq_keywords = (  
     #[key for key in ansatte_faq_data.keys()] + 
@@ -159,7 +162,7 @@ async def handle_message(message: cl.Message):
 
     if re.search(booking_pattern, user_message):  
         bestillingskode = re.search(booking_pattern, user_message).group(0)  
-        question = f"Retrieve information for booking ID {base_url}?search={bestillingskode}"
+        question = f"Retrieve information for booking ID {endpoint_url}?search={bestillingskode}"
    
         response = await api_chain.acall(
             {
@@ -169,9 +172,12 @@ async def handle_message(message: cl.Message):
             },
             callbacks=[cl.AsyncLangchainCallbackHandler()])
 
-    elif any(keyword in user_message for keyword in (FAQ_ANSATTE + FAQ_UTLEIERE + PERSONVERNSPOLICY_QUESTIONS)):
-        #elif any(keyword in user_message for keyword in faq_keywords): 
-        response = await api_chain.acall(user_message, callbacks=[cl.AsyncLangchainCallbackHandler()])
+        if any(keyword in user_message for keyword in (FAQ_ANSATTE + FAQ_UTLEIERE + PERSONVERNSPOLICY_QUESTIONS)):
+            #elif any(keyword in user_message for keyword in faq_keywords): 
+            response = await api_chain.acall(user_message, callbacks=[cl.AsyncLangchainCallbackHandler()])
+
+        else:    
+        response = await llm_chain.acall(user_message, callbacks=[cl.AsyncLangchainCallbackHandler()])
 
     else:    
         response = await llm_chain.acall(user_message, callbacks=[cl.AsyncLangchainCallbackHandler()])