from swarms import Agent, Edge, GraphWorkflow, Node, NodeType


def sample_task():
    """Simple callable task."""
    print("Running sample task")
    return "Task completed"


if __name__ == "__main__":
    # Initialize two basic agents
    agent1 = Agent(
        agent_name="Agent1",
        model_name="openai/gpt-4o-mini",
        temperature=0.5,
        max_tokens=4000,
        max_loops=1,
        autosave=True,
        dashboard=True,
    )

    agent2 = Agent(
        agent_name="Agent2",
        model_name="openai/gpt-4o-mini",
        temperature=0.5,
        max_tokens=4000,
        max_loops=1,
        autosave=True,
        dashboard=True,
    )

    # Build the workflow graph
    wf_graph = GraphWorkflow()
    wf_graph.add_node(
        Node(id="agent1", type=NodeType.AGENT, agent=agent1)
    )
    wf_graph.add_node(
        Node(id="agent2", type=NodeType.AGENT, agent=agent2)
    )
    wf_graph.add_node(
        Node(id="task1", type=NodeType.TASK, callable=sample_task)
    )

    wf_graph.add_edge(Edge(source="agent1", target="task1"))
    wf_graph.add_edge(Edge(source="agent2", target="task1"))

    wf_graph.set_entry_points(["agent1", "agent2"])
    wf_graph.set_end_points(["task1"])

    # Optional visualization in Mermaid format
    print(wf_graph.visualize())

    # Execute the graph
    results = wf_graph.run()
    print("Execution results:", results)