Update app.py

app.py

@@ -35,7 +35,7 @@ severities = {
     "Best Practice": "Low"
 }
 
-# ---------- Load QnA Model ----------
+# ---------- Load QnA Model (no fallback) ----------
 qa_pipeline = pipeline("text2text-generation", model="google/flan-t5-large")
 
 # ---------- Logging ----------
@@ -140,7 +140,7 @@ def validate_metadata(metadata, admin_id=None):
 
     return mtype, issue, recommendation
 
-# ---------- Salesforce Chatbot (Final Improved Prompt) ----------
+# ---------- Salesforce Chatbot (Improved Prompt) ----------
 conversation_history = []
 
 def salesforce_chatbot(query, history=[]):
@@ -159,16 +159,15 @@ def salesforce_chatbot(query, history=[]):
     history_summary = "\n".join([f"User: {q}\nAssistant: {a}" for q, a in conversation_history[-4:]])
 
     prompt = f"""
-You are a certified Salesforce developer and architect. You answer Salesforce questions with 100% accuracy and clarity, using official platform knowledge.
+You are a certified Salesforce developer and architect. Your role is to answer with 100% accurate and detailed technical explanations, especially about limits, code, and platform best practices.
 
-Guidelines:
-- Always give answers that are at least 2 full lines long.
-- When asked about Apex limits (e.g., DML, SOQL, heap), always:
-  - Mention the numeric limit (e.g., 150 DML statements)
-  - Include the transaction context (sync/async)
-  - Suggest using monitoring methods like Limits.getDMLStatements()
-- Avoid making up numbers — if unsure, suggest Trailhead or official docs.
-- Format clearly, using bullet points or code if helpful.
+Your answers MUST:
+- Always be at least two lines long.
+- Be correct, clear, and production-safe.
+- Include official Salesforce governor limits when applicable.
+- Use bullet points or code snippets when needed.
+- Recommend Trailhead or official docs if the answer isn't definitive.
+- Follow real-world practices (bulkification, error handling, etc).
 
 Conversation History:
 {history_summary}
@@ -183,8 +182,8 @@ Assistant:
         if output.startswith("Assistant:"):
             output = output.replace("Assistant:", "").strip()
 
-        if len(output.split()) < 20:
-            output += "\n\nPlease refer to: https://developer.salesforce.com/docs"
+        if len(output.split()) < 15:
+            output += "\n\nRefer to: https://developer.salesforce.com/docs for more."
 
         conversation_history.append((query, output))
         conversation_history = conversation_history[-6:]