diff --git a/setup.py b/setup.py
index a21e6325..176c57fb 100644
--- a/setup.py
+++ b/setup.py
@@ -4,7 +4,7 @@ from setuptools import setup, find_packages
 setup(
   name = 'swarms',
   packages = find_packages(exclude=[]),
-  version = '1.0.2',
+  version = '1.0.3',
   license='MIT',
   description = 'Swarms - Pytorch',
   author = 'Kye Gomez',
diff --git a/swarms/swarms.py b/swarms/swarms.py
index 72be779b..5dcefdeb 100644
--- a/swarms/swarms.py
+++ b/swarms/swarms.py
@@ -16,7 +16,7 @@ logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(
 from swarms.utils.task import Task
 
 class Swarms:
-    def __init__(self, openai_api_key="", use_vectorstore=True, use_async=True):
+    def __init__(self, openai_api_key="", use_vectorstore=True, use_async=True, human_in_the_loop=True):
         #openai_api_key: the openai key. Default is empty
         if not openai_api_key:
             logging.error("OpenAI key is not provided")
@@ -25,6 +25,7 @@ class Swarms:
         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
 
     def initialize_llm(self, llm_class, temperature=0.5):
         """
@@ -107,7 +108,7 @@ class Swarms:
             # Initialize worker node
             llm = self.initialize_llm(ChatOpenAI)
             worker_node = WorkerNodeInitializer(llm=llm, tools=worker_tools, vectorstore=vectorstore)
-            worker_node.create_agent(ai_name=ai_name, ai_role="Assistant", human_in_the_loop=False, search_kwargs={}, human_in_the_loop=human_in_the_loop) # add search kwargs
+            worker_node.create_agent(ai_name=ai_name, ai_role="Assistant", human_in_the_loop=False, search_kwargs={}, human_in_the_loop=self.human_in_the_loop) # add search kwargs
 
             worker_node_tool = Tool(name="WorkerNode AI Agent", func=worker_node.run, description="Input: an objective with a todo list for that objective. Output: your task completed: Please be very clear what the objective and task instructions are. The Swarm worker agent is Useful for when you need to spawn an autonomous agent instance as a worker to accomplish any complex tasks, it can search the internet or write code or spawn child multi-modality models to process and generate images and text or audio and so on")
             return worker_node_tool