Starter LLM Inference Call

app.py

@@ -38,6 +38,10 @@ df.to_sql("tickets", engine, if_exists="replace", index=False)
 # Create agent with table description
 db = SQLDatabase(engine)
 
+print("Tables:", db.get_table_names())
+print("\nSchema:", db.get_table_info())
+print("\nSample Data:", db.run("SELECT * FROM tickets LIMIT 5"))
+
 # Add table descriptions for better context
 table_info = """
 The 'tickets' table contains Jira ticket data with columns: