diff --git a/swarms/swarms.py b/swarms/swarms.py
index 9270e42a..2be56179 100644
--- a/swarms/swarms.py
+++ b/swarms/swarms.py
@@ -20,32 +20,25 @@ logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(
 # TODO: Off
 
 class HierarchicalSwarm:
-    def __init__(self, 
-                model_id: str = None, 
-                openai_api_key="", 
-                use_vectorstore=True, 
-                embedding_size: int = None, 
-                use_async=True, 
-                human_in_the_loop=True, 
-                model_type: str = None, 
-                boss_prompt: str = None,
-                worker_prompt:str = None,
-                temperature=None,
-                max_iterations=None,
-                log_level: str = 'INFO'
-    ):
-        #openai_api_key: the openai key. Default is empty
-        if not model_id:
-            logging.error("Model ID is not provided")
-            raise ValueError("Model ID is required")
-        if not openai_api_key:
-            logging.error("OpenAI key is not provided")
-            raise ValueError("OpenAI API key is required")
+    def __init__(
+        self, 
+        model_id: Optional[str] = None, 
+        openai_api_key: Optional[str] = "", 
+        use_vectorstore: Optional[bool] = True, 
+        embedding_size: Optional[int] = None, 
+        use_async: Optional[bool] = True, 
+        human_in_the_loop: Optional[bool] = True, 
+        model_type: Optional[str] = None, 
+        boss_prompt: Optional[str] = None,
+        worker_prompt: Optional[str] = None,
+        temperature: Optional[float] = None,
+        max_iterations: Optional[int] = None,
+        logging_enabled: Optional[bool] = True):
         
         self.model_id = model_id        
         self.openai_api_key = openai_api_key
         self.use_vectorstore = use_vectorstore
-        
+
         self.use_async = use_async
         self.human_in_the_loop = human_in_the_loop
         self.model_type = model_type
@@ -56,10 +49,15 @@ class HierarchicalSwarm:
 
         self.temperature = temperature
         self.max_iterations = max_iterations
+        self.logging_enabled = logging_enabled
 
+        self.logger = logging.getLogger()
+        if not logging_enabled:
+            self.logger.disabled = True
 
 
-    def initialize_llm(self, llm_class):
+
+    def initialize_llm(self, llm_class: Optional = None):
         """
         Init LLM 
 
@@ -219,7 +217,12 @@ class HierarchicalSwarm:
             return None
         
 # usage-# usage-
-def swarm(api_key="", objective="", model_type="", model_id=""):
+def swarm(
+    api_key: Optional[str]="", 
+    objective: Optional[str]="", 
+    model_type: Optional[str]="", 
+    model_id: Optional[str]=""
+    ):
     """
     Run the swarm with the given API key and objective.
 
@@ -238,7 +241,7 @@ def swarm(api_key="", objective="", model_type="", model_id=""):
         logging.error("Invalid objective")
         raise ValueError("A valid objective is required")
     try:
-        swarms = HierarchicalSwarm(api_key,  model_id=model_type, use_async=False, model_type=model_type) # Turn off async
+        swarms = HierarchicalSwarm(api_key, model_id=model_type, use_async=False, model_type=model_type, logging_enabled=logging_enabled) # Turn off async
         result = swarms.run(objective)
         if result is None:
             logging.error("Failed to run swarms")