[CLEANUP]

concurrent_workflow.py

@@ -1,30 +0,0 @@
-import os
-from dotenv import load_dotenv
-from swarms import OpenAIChat, Task, ConcurrentWorkflow, Agent
-
-# Load environment variables from .env file
-load_dotenv()
-
-# Load environment variables
-llm = OpenAIChat(openai_api_key=os.getenv("OPENAI_API_KEY"))
-agent = Agent(
-    system_prompt=None,
-    llm=llm,
-    max_loops=1,
-)
-
-# Create a workflow
-workflow = ConcurrentWorkflow(max_workers=3)
-
-# Create tasks
-task1 = Task(agent=agent, description="What's the weather in miami")
-task2 = Task(
-    agent=agent, description="What's the weather in new york"
-)
-task3 = Task(agent=agent, description="What's the weather in london")
-
-# Add tasks to the workflow
-workflow.add(tasks=[task1, task2, task3])
-
-# Run the workflow and print each task result
-workflow.run()

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
 
 [tool.poetry]
 name = "swarms"
-version = "3.5.0"
+version = "3.5.2"
 description = "Swarms - Pytorch"
 license = "MIT"
 authors = ["Kye Gomez <kye@apac.ai>"]

swarm_net.py

@@ -1,46 +0,0 @@
-import os
-
-from dotenv import load_dotenv
-
-# Import the OpenAIChat model and the Agent struct
-from swarms import OpenAIChat, Agent, SwarmNetwork
-
-# Load the environment variables
-load_dotenv()
-
-# Get the API key from the environment
-api_key = os.environ.get("OPENAI_API_KEY")
-
-# Initialize the language model
-llm = OpenAIChat(
-    temperature=0.5,
-    openai_api_key=api_key,
-)
-
-## Initialize the workflow
-agent = Agent(llm=llm, max_loops=1, agent_name="Social Media Manager")
-agent2 = Agent(llm=llm, max_loops=1, agent_name=" Product Manager")
-agent3 = Agent(llm=llm, max_loops=1, agent_name="SEO Manager")
-
-
-# Load the swarmnet with the agents
-swarmnet = SwarmNetwork(
-    agents=[agent, agent2, agent3],
-)
-
-# # List the agents in the swarm network
-out = swarmnet.list_agents()
-print(out)
-
-# Run the workflow on a task
-out = swarmnet.run_single_agent(
-    agent.id, "Generate a 10,000 word blog on health and wellness."
-)
-print(out)
-
-
-# Run all the agents in the swarm network on a task
-out = swarmnet.run_many_agents(
-    "Generate a 10,000 word blog on health and wellness."
-)
-print(out)