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51 lines
1.3 KiB
51 lines
1.3 KiB
from swarms import Agent, Edge, GraphWorkflow, Node, NodeType
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def sample_task():
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"""Simple callable task."""
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print("Running sample task")
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return "Task completed"
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if __name__ == "__main__":
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# Initialize two basic agents
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agent1 = Agent(
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agent_name="Agent1",
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model_name="openai/gpt-4o-mini",
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temperature=0.5,
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max_tokens=4000,
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max_loops=1,
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autosave=True,
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dashboard=True,
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)
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agent2 = Agent(
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agent_name="Agent2",
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model_name="openai/gpt-4o-mini",
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temperature=0.5,
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max_tokens=4000,
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max_loops=1,
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autosave=True,
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dashboard=True,
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)
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# Build the workflow graph
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wf_graph = GraphWorkflow()
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wf_graph.add_node(Node(id="agent1", type=NodeType.AGENT, agent=agent1))
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wf_graph.add_node(Node(id="agent2", type=NodeType.AGENT, agent=agent2))
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wf_graph.add_node(Node(id="task1", type=NodeType.TASK, callable=sample_task))
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wf_graph.add_edge(Edge(source="agent1", target="task1"))
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wf_graph.add_edge(Edge(source="agent2", target="task1"))
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wf_graph.set_entry_points(["agent1", "agent2"])
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wf_graph.set_end_points(["task1"])
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# Optional visualization in Mermaid format
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print(wf_graph.visualize())
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# Execute the graph
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results = wf_graph.run()
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print("Execution results:", results)
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