diff --git a/swarms/structs/various_alt_swarms.py b/swarms/structs/various_alt_swarms.py
index f035c7cd..c4b34f9f 100644
--- a/swarms/structs/various_alt_swarms.py
+++ b/swarms/structs/various_alt_swarms.py
@@ -1,5 +1,5 @@
 import math
-from typing import Any, Dict, List, Union, Optional
+from typing import Dict, List, Union
 
 from loguru import logger
 
@@ -9,12 +9,7 @@ from swarms.structs.omni_agent_types import AgentListType
 from swarms.utils.history_output_formatter import (
     history_output_formatter,
 )
-from swarms.utils.formatter import formatter
 
-# Internal helpers to avoid duplicate prints when nested BaseSwarm initializers request visualization.
-# Buffer requests and emit a single top-level print when outermost init completes.
-_swarm_init_depth = 0
-_pending_swarm_prints: List[Any] = []
 
 # Base Swarm class that all other swarm types will inherit from
 class BaseSwarm:
@@ -24,7 +19,6 @@ class BaseSwarm:
         name: str = "BaseSwarm",
         description: str = "A base swarm implementation",
         output_type: str = "dict",
-        show_swarm_structure: bool = False,
     ):
         """
         Initialize the BaseSwarm with agents, name, description, and output type.
@@ -34,57 +28,17 @@ class BaseSwarm:
             name: Name of the swarm
             description: Description of the swarm's purpose
             output_type: Type of output format, one of 'dict', 'list', 'string', 'json', 'yaml', 'xml', etc.
-            show_swarm_structure: Enable automatic visualization of nested swarm structure
         """
-        # Buffer depth bookkeeping to avoid duplicate nested prints.
-        global _swarm_init_depth, _pending_swarm_prints
-        _swarm_init_depth += 1
-        try:
-            # Ensure agents is a flat list of Agent objects
-            self.agents = (
-                [agent for sublist in agents for agent in sublist]
-                if isinstance(agents[0], list)
-                else agents
-            )
-            self.name = name
-            self.description = description
-            self.output_type = output_type
-            self.conversation = Conversation()
-            self.show_swarm_structure = show_swarm_structure
-        finally:
-            _swarm_init_depth -= 1
-        
-        # If visualization was requested, buffer and only render once when the
-        # outermost initializer finishes (depth == 0). This preserves the
-        # existing `show_swarm_structure` API while avoiding duplicate output.
-        if self.show_swarm_structure:
-            try:
-                if self not in _pending_swarm_prints:
-                    _pending_swarm_prints.append(self)
-            except Exception:
-                # Best-effort only; do not fail initialization due to bookkeeping
-                pass
-
-        if _swarm_init_depth == 0 and _pending_swarm_prints:
-            try:
-                # Print all buffered top-level swarms requested during this burst,
-                # preserving order and isolating failures per-swarm.
-                for swarm_to_print in list(_pending_swarm_prints):
-                    try:
-                        formatter.print_swarm_structure(swarm_to_print)
-                    except Exception:
-                        # Best-effort per swarm; don't abort the loop.
-                        pass
-            finally:
-                _pending_swarm_prints.clear()
-    
-    def print_swarm_structure(self) -> None:
-        """
-        Print the visual tree representation of this swarm's structure.
-        
-        This method can be called on any swarm to visualize its nested structure.
-        """
-        formatter.print_swarm_structure(self)
+        # Ensure agents is a flat list of Agent objects
+        self.agents = (
+            [agent for sublist in agents for agent in sublist]
+            if isinstance(agents[0], list)
+            else agents
+        )
+        self.name = name
+        self.description = description
+        self.output_type = output_type
+        self.conversation = Conversation()
 
     def run(self, tasks: List[str]) -> Union[Dict, List, str]:
         """