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48 lines
1.3 KiB
48 lines
1.3 KiB
from swarms import Agent, HierarchicalSwarm
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# Create specialized agents
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research_agent = Agent(
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agent_name="Research-Analyst",
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agent_description="Specialized in comprehensive research and data gathering",
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model_name="gpt-4o-mini",
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max_loops=1,
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verbose=False,
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)
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analysis_agent = Agent(
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agent_name="Data-Analyst",
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agent_description="Expert in data analysis and pattern recognition",
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model_name="gpt-4o-mini",
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max_loops=1,
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verbose=False,
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)
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strategy_agent = Agent(
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agent_name="Strategy-Consultant",
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agent_description="Specialized in strategic planning and recommendations",
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model_name="gpt-4o-mini",
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max_loops=1,
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verbose=False,
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)
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# Create hierarchical swarm with interactive dashboard
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swarm = HierarchicalSwarm(
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name="Swarms Corporation Operations",
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description="Enterprise-grade hierarchical swarm for complex task execution",
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agents=[research_agent, analysis_agent, strategy_agent],
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max_loops=1,
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interactive=False, # Enable the Arasaka dashboard
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director_model_name="claude-haiku-4-5",
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director_temperature=0.7,
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director_top_p=None,
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planning_enabled=True,
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)
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print(swarm.display_hierarchy())
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# out = swarm.run(
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# "Conduct a research analysis on water stocks and etfs"
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# )
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# print(out)
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