from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.workflow.step import Step
from agno.workflow.steps import Steps
from agno.workflow.workflow import Workflow
# Define agents for different tasks
researcher = Agent(
name="Research Agent",
model=OpenAIChat(id="gpt-5-mini"),
tools=[DuckDuckGoTools()],
instructions="Research the given topic and provide key facts and insights.",
)
writer = Agent(
name="Writing Agent",
model=OpenAIChat(id="gpt-5-mini"),
instructions="Write a comprehensive article based on the research provided. Make it engaging and well-structured.",
)
editor = Agent(
name="Editor Agent",
model=OpenAIChat(id="gpt-5-mini"),
instructions="Review and edit the article for clarity, grammar, and flow. Provide a polished final version.",
)
# Define individual steps
research_step = Step(
name="research",
agent=researcher,
description="Research the topic and gather information",
)
writing_step = Step(
name="writing",
agent=writer,
description="Write an article based on the research",
)
editing_step = Step(
name="editing",
agent=editor,
description="Edit and polish the article",
)
# Create a Steps sequence that chains these above steps together
article_creation_sequence = Steps(
name="article_creation",
description="Complete article creation workflow from research to final edit",
steps=[research_step, writing_step, editing_step],
)
# Create and use workflow
if __name__ == "__main__":
article_workflow = Workflow(
name="Article Creation Workflow",
description="Automated article creation from research to publication",
steps=[article_creation_sequence],
)
article_workflow.print_response(
input="Write an article about the benefits of renewable energy",
markdown=True,
)