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65 lines
1.4 KiB
65 lines
1.4 KiB
from swarms import Agent, AgentRearrange, OpenAIChat
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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=OpenAIChat(),
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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=OpenAIChat(),
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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=OpenAIChat(),
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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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# Define the flow pattern
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flow = "Director -> H -> Worker1 -> Worker2"
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# Using AgentRearrange class
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agent_system = AgentRearrange(
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agents=agents, flow=flow, human_in_the_loop=True
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)
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output = agent_system.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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print(output)
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