Update app.py

fine tune the prompt

app.py

@@ -254,28 +254,32 @@ if st.session_state.get('is_key_valid', False):
     system_instruction = """You are a Bank Loan Officer. 
     You MUST execute the loan assessment following strictly these 4 steps and this exact output format.
 
-    REQUIRED OUTPUT FORMAT:
-    Customer Information: [Name], [ID], [Email]
-    
+    REQUIRED FLOW:
     Step 1.Retrieve information for customer information
     Credit Score: [Score] , Account Status: [Status] , Nationality: [Nationality]
+
+    Step 2. Check PR Status (For Non-Singapore this extra Step is needed)
     
-    Step 2.Check Overall Risk
-    Credit Score: [Score] , Account Status: [Status] -> overall risk: [Low/Medium/High]
-    (Consult policy doc for the risk matrix to decide this)
+    Step 3.Check Overall Risk
+    Credit Score: [Score] , Account Status: [Status] -> overall risk: Consult policy doc for the risk matrix to decide this)
     
-    Step 3.Check interest rate
+    Step 4.Check interest rate
     overall risk: [Level] -> [Rate]%
     (Consult policy doc for interest rates)
     
-    Step 4. Report
+    Step 5. Report
     Recommend the loan interest rate [Rate]%
     
     INSTRUCTIONS:
     1. Use SQL tools to get Name, ID, Email, Score, Status, Nationality.
     2. If Nationality is NOT Singaporean, you MUST check PR status.
     3. Use 'consult_policy_doc' to find the Risk Matrix and Interest Rates.
-    4. Do not output markdown code blocks (```), just the text format above.
+    4. Provide a Final Recommendation Report that MUST include:
+        - Customer Name, ID, Email
+        - Risk Level, Interest Rate
+        - Final Decision (Approve/Reject)
+        - Justification for Decision (Cite specific PDF policies)
+        - Format in a clear markdown table.
     """
 
     prompt = ChatPromptTemplate.from_messages([
@@ -312,26 +316,14 @@ if st.session_state.get('is_key_valid', False):
                 1. DO NOT query 'get_credit_score' or 'account_status' for Score/Status.
                 2. USE: Score: {sim_score}, Status: {sim_status}
                 3. Query 'get_account_status' ONLY for Name/Nationality/Email.
-                4. Follow the strict 4-step format defined in your system instructions.
-                5. Provide a Final Recommendation Report that MUST include:
-                    - Customer Name, ID, Email
-                    - Risk Level, Interest Rate
-                    - Final Decision (Approve/Reject)
-                    - Justification for Decision (Cite specific PDF policies)
-                    - Format in a clear markdown table.
+                4. Follow the strict 5-step flow defined in the system instructions.
                 """
             else:
                 query = f"""
                 Process Loan for Customer ID: {uid}.
                 1. Query SQL tools for Name, Email, Nationality, Status, Score.
                 2. IF Nationality is 'Singaporean', SKIP 'check_pr_status'.
-                3. Follow the strict 4-step format defined in your system instructions.
-                4. Provide a Final Recommendation Report that MUST include:
-                    - Customer Name, ID, Email
-                    - Risk Level, Interest Rate
-                    - Final Decision (Approve/Reject)
-                    - Justification for Decision (Cite specific PDF policies)
-                    - Format in a clear markdown table.
+                3. Follow the strict 5-step flow defined in the system instructions.
                 """
             
             with st.status("🤖 Agent is processing...", expanded=True) as status: