clean up for init of main boss and worker classes

example.py

@@ -1,79 +1,8 @@
-from swarms.agents.swarms import BossNode
+from swarms import boss_node
 
-# Initialize boss node with given parameters
+#create a task
-boss_node = BossNode
+task = boss_node.create_task(objective="Write a research paper on the impact of climate change on global agriculture")
 
-# Create and execute a task
+#execute the teask
-task = boss_node.create_task("Write a weather report for SF today")
 boss_node.execute_task(task)
 
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-###################################====================>
-# from swarms.agents.workers.auto_agent import agent
-# from swarms.agents.boss.babyagi_agent import baby_agi
-
-# OBJECTIVE = "Write a weather report for SF today"
-
-# baby_agi({"objective": OBJECTIVE})
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-###################################====================>
-
-########### just autogpt agent, worker node
-# agent.chain.verbose = True
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-# tree_of_thoughts_prompt = """
-
-# Imagine three different experts are answering this question. All experts will write down each chain of thought of each step of their thinking, then share it with the group. Then all experts will go on to the next step, etc. If any expert realises they're wrong at any point then they leave. The question is...
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-# """
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-# #Input problem
-# input_problem = """
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-# Input: 2 8 8 14
-# Possible next steps:
-# 2 + 8 = 10 (left: 8 10 14)
-# 8 / 2 = 4 (left: 4 8 14)
-# 14 + 2 = 16 (left: 8 8 16)
-# 2 * 8 = 16 (left: 8 14 16)
-# 8 - 2 = 6 (left: 6 8 14)
-# 14 - 8 = 6 (left: 2 6 8)
-# 14 /  2 = 7 (left: 7 8 8)
-# 14 - 2 = 12 (left: 8 8 12)
-# Input: use 4 numbers and basic arithmetic operations (+-*/) to obtain 24 in 1 equation
-# Possible next steps:
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-# """
-
-# agent.run([f"{tree_of_thoughts_prompt} {input_problem}"])
-

worker_example.py

@@ -1,14 +1,7 @@
-from swarms import WorkerNode, tools, vectorstore, llm
+from swarms import worker_node
-#define tools (assuming process csv)
 
-
+#cretae an agent 
-
+worker_node.create_agent(ai_name="Workerx", ai_role="Assistant", human_in_the_loop=True, search_kwargs={"k": 8})
-#inti worker node with llm
-worker_node = WorkerNode(llm=llm, tools=tools, vectorstore=vectorstore)
-
-#create an agent within the worker node
-worker_node.create_agent(ai_name="AI Assistant", ai_role="Assistant", human_in_the_loop=True, search_kwargs={})
 
 #use the agent to perform a task
 worker_node.run_agent("Find 20 potential customers for a Swarms based AI Agent automation infrastructure")
-