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swarms/graph_workflow_basic.py

48 lines
1.3 KiB

from swarms.structs.graph_workflow import GraphWorkflow
from swarms.structs.agent import Agent
agent_one = Agent(
agent_name="research_agent",
model_name="claude-haiku-4-5",
top_p=None,
temperature=None,
agent_description="Agent responsible for gathering and summarizing research information."
)
agent_two = Agent(
agent_name="research_agent_two",
model_name="claude-haiku-4-5",
top_p=None,
temperature=None,
agent_description="Agent that analyzes the research data provided and processes insights."
)
agent_three = Agent(
agent_name="research_agent_three",
model_name="claude-haiku-4-5",
top_p=None,
temperature=None,
agent_description="Agent tasked with structuring analysis into a final report or output."
)
# Create workflow with backend selection
workflow = GraphWorkflow(
name="Basic Example",
verbose=True,
backend="rustworkx",
)
agents = [agent_one, agent_two, agent_three]
workflow.add_nodes(agents, batch_size=3)
workflow.add_edge("research_agent", "research_agent_two")
workflow.add_edge("research_agent_two", "research_agent_three")
workflow.visualize()
# Compile the workflow
workflow.compile()
# Run the workflow
task = "Analyze the best mining companies in the US"
results = workflow.run(task)
print(results)