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67 lines
1.5 KiB
67 lines
1.5 KiB
from swarms import Agent, Anthropic
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from swarms.structs.society_of_agents import SocietyOfAgents
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# Initialize the director agent
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director = Agent(
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agent_name="Director",
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system_prompt="Directs the tasks for the workers",
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llm=Anthropic(),
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max_loops=1,
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dashboard=False,
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streaming_on=True,
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verbose=True,
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stopping_token="<DONE>",
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state_save_file_type="json",
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saved_state_path="director.json",
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)
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# Initialize worker 1
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worker1 = Agent(
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agent_name="Worker1",
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system_prompt="Generates a transcript for a youtube video on what swarms are",
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llm=Anthropic(),
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max_loops=1,
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dashboard=False,
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streaming_on=True,
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verbose=True,
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stopping_token="<DONE>",
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state_save_file_type="json",
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saved_state_path="worker1.json",
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)
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# Initialize worker 2
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worker2 = Agent(
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agent_name="Worker2",
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system_prompt="Summarizes the transcript generated by Worker1",
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llm=Anthropic(),
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max_loops=1,
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dashboard=False,
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streaming_on=True,
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verbose=True,
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stopping_token="<DONE>",
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state_save_file_type="json",
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saved_state_path="worker2.json",
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)
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# Create a list of agents
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agents = [director, worker1, worker2]
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# Create the swarm
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society = SocietyOfAgents(
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name="Society of Agents",
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description="A society of agents that work together to complete a task",
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agents=agents,
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max_loops=1,
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rules="Don't stop until the task is done",
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)
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# Run the swarm
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output = society.run(
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"Create a format to express and communicate swarms of llms in a structured manner for youtube"
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)
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