diff --git a/examples/multi_agent/auto_swarm_builder_example.py b/examples/multi_agent/auto_swarm_builder_example.py
index 70e493d5..327fb8e0 100644
--- a/examples/multi_agent/auto_swarm_builder_example.py
+++ b/examples/multi_agent/auto_swarm_builder_example.py
@@ -15,4 +15,4 @@ out = swarm.run(
     task="Create an accounting team to analyze crypto transactions, there must be 5 agents in the team with extremely extensive prompts. Make the prompts extremely detailed and specific and long and comprehensive. Make sure to include all the details of the task in the prompts."
 )
 
-print(json.dumps(out, indent=4))
\ No newline at end of file
+print(json.dumps(out, indent=4))
diff --git a/heavy_swarm.py b/heavy_swarm.py
index 8fb36642..02f7348d 100644
--- a/heavy_swarm.py
+++ b/heavy_swarm.py
@@ -1,4 +1,3 @@
-from swarms_tools import exa_search
 
 from swarms import HeavySwarm
 
@@ -10,7 +9,7 @@ swarm = HeavySwarm(
     question_agent_model_name="gpt-4.1",
     loops_per_agent=1,
     agent_prints_on=False,
-    worker_tools=[exa_search],
+    # worker_tools=[exa_search],
     random_loops_per_agent=False,
 )
 
diff --git a/swarms/utils/litellm_wrapper.py b/swarms/utils/litellm_wrapper.py
index 80c3783c..e45b16a8 100644
--- a/swarms/utils/litellm_wrapper.py
+++ b/swarms/utils/litellm_wrapper.py
@@ -411,7 +411,7 @@ class LiteLLM:
     #             response_dict = response.model_dump()
     #         else:
     #             response_dict = response
-                
+
     #         print(f"Response dict: {response_dict}")
 
     #         # Check if tool_calls exists and is not None
@@ -458,7 +458,7 @@ class LiteLLM:
     #             }
     #     except Exception as e:
     #         logger.error(f"Error processing tool calls: {str(e)} Traceback: {traceback.format_exc()}")
-    
+
     def output_for_tools(self, response: any):
         """
         Process and extract tool call information from the LLM response.