diff --git a/utils/clientfunctions.py b/utils/clientfunctions.py
index bbde0a6..4e57764 100644
--- a/utils/clientfunctions.py
+++ b/utils/clientfunctions.py
@@ -17,7 +17,7 @@
 import utils.pretty as ct
 
 #Standard Libary Imports:
-from datetime import datetime
+import datetime
 import json
 import os
 import re
@@ -198,22 +198,21 @@ def findAllAgents(url):
 def findAgents(url, device_input_str):
 
     os.makedirs("device_search", exist_ok=True)
-    # Step 1: Get the DataFrame from your function
     df = findAllAgents(url)
 
-    # Step 2: Parse the input string into device names (newline-separated only)
+    #Parse the input string into device names (newline-separated only)
     device_names = device_input_str.strip().split('\n')
     device_names = [name.strip() for name in device_names if name.strip()]
 
-    # Step 3: Build a regex pattern for case-insensitive matching
+    #Build a regex pattern for case-insensitive matching
     pattern = '|'.join([re.escape(name) for name in device_names])
     regex = re.compile(pattern, re.IGNORECASE)
 
-    # Step 4: Filter the DataFrame using regex
+    #Filter the DataFrame using regex
     matched_df = df[df['hostname'].apply(lambda x: bool(regex.search(str(x))))]
 
-    # Step 5: Export to CSV with timestamp
-    timestamp = datetime.now().strftime("%Y-%m-%d_%H-%M-%S")
+    #Export to CSV with timestamp
+    timestamp = datetime.datetime.now().strftime("%Y-%m-%d_%H-%M-%S")
     filename = f"agentsearch_{timestamp}.csv"
     matched_df.to_csv(f"device_search\\{filename}", index=False)