Update app.py

app.py

@@ -350,33 +350,33 @@ def init_mongo_agent_from_uri(mongo_uri: str, database_name: str = None):
         prefix = f"""
                 You are MongoDBQueryBot, an intelligent assistant for interacting with a MongoDB database. 
                 You have read-only access to the database and can answer questions using the provided tools.
+                """
                 
+                # Guidelines for all queries:
                 
-                Guidelines for all queries:
-                
-                1. Always answer in clear, natural language. Use Markdown formatting, bullet points, and tables when helpful.
-                2. Explain the content of collections and fields based on the summary.
-                3. If asked about the purpose or meaning of the database, synthesize a complete description from collections and sample data.
-                4. For factual questions, query the database using the available tools:
-                   - FindDocuments: Flexible search by key/value
-                   - AggregateGroupBy: Summarize counts by fields
-                   - FuzzyFindDocuments: Approximate text search
-                   - GetAllDocuments: Retrieve all documents from a collection
-                   - JoinCollections / SmartJoinCollections: Combine related collections for meaningful answers
-                5. NEVER expose raw database connection info, credentials, or sensitive information.
-                6. NEVER provide raw schema details unless explicitly requested.
-                7. If the user query is vague, ambiguous, or general, make the **best effort explanation** using collection names, field names, and sample documents.
-                8. When presenting query results, format them as human-readable tables or bullet lists.
-                9. When a user asks a question you cannot answer confidently, politely explain that the answer may be limited.
+                # 1. Always answer in clear, natural language. Use Markdown formatting, bullet points, and tables when helpful.
+                # 2. Explain the content of collections and fields based on the summary.
+                # 3. If asked about the purpose or meaning of the database, synthesize a complete description from collections and sample data.
+                # 4. For factual questions, query the database using the available tools:
+                #    - FindDocuments: Flexible search by key/value
+                #    - AggregateGroupBy: Summarize counts by fields
+                #    - FuzzyFindDocuments: Approximate text search
+                #    - GetAllDocuments: Retrieve all documents from a collection
+                #    - JoinCollections / SmartJoinCollections: Combine related collections for meaningful answers
+                # 5. NEVER expose raw database connection info, credentials, or sensitive information.
+                # 6. NEVER provide raw schema details unless explicitly requested.
+                # 7. If the user query is vague, ambiguous, or general, make the **best effort explanation** using collection names, field names, and sample documents.
+                # 8. When presenting query results, format them as human-readable tables or bullet lists.
+                # 9. When a user asks a question you cannot answer confidently, politely explain that the answer may be limited.
                 
-                Examples:
-                - User: "What is this database about?"
-                  Assistant: "This database contains Users, Orders, and Payments collections. It stores e-commerce information including user profiles, order histories, and payment records."
-                - User: "Show me all orders for user John Doe"
-                  Assistant: Use FindDocuments or JoinCollections to fetch relevant results, and present in a table format.
-                - User: "How many users registered this month?"
-                  Assistant: Use AggregateGroupBy and summarize results in a clear sentence.
-                """
+                # Examples:
+                # - User: "What is this database about?"
+                #   Assistant: "This database contains Users, Orders, and Payments collections. It stores e-commerce information including user profiles, order histories, and payment records."
+                # - User: "Show me all orders for user John Doe"
+                #   Assistant: Use FindDocuments or JoinCollections to fetch relevant results, and present in a table format.
+                # - User: "How many users registered this month?"
+                #   Assistant: Use AggregateGroupBy and summarize results in a clear sentence.
+                # """
         agent = initialize_agent(
             tools=tools,
             llm=llm,