Step with Function using Additional Data

This example demonstrates Workflows 2.0 support for passing metadata and contextual information to steps via additional_data.

This example shows how to pass metadata and contextual information to steps via additional_data. This allows separation of workflow logic from configuration, enabling dynamic behavior based on external context.

Key Features:

• Context-Aware Steps: Access step_input.additional_data in custom functions
• Flexible Metadata: Pass user info, priorities, settings, etc.
• Clean Separation: Keep workflow logic focused while enriching steps with context

step_with_function_additional_data.py

from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIResponses
from agno.team import Team
from agno.tools.hackernews import HackerNewsTools
from agno.tools.yfinance import YFinanceTools
from agno.workflow.step import Step, StepInput, StepOutput
from agno.workflow.workflow import Workflow

# Define agents
hackernews_agent = Agent(
    name="Hackernews Agent",
    model=OpenAIResponses(id="gpt-5.2"),
    tools=[HackerNewsTools()],
    instructions="Extract key insights and content from Hackernews posts",
)

finance_agent = Agent(
    name="Finance Agent",
    model=OpenAIResponses(id="gpt-5.2"),
    tools=[YFinanceTools()],
    instructions="Get stock prices and financial data",
)

# Define research team for complex analysis
research_team = Team(
    name="Research Team",
    members=[hackernews_agent, finance_agent],
    instructions="Analyze content and create comprehensive social media strategy",
)

content_planner = Agent(
    name="Content Planner",
    model=OpenAIResponses(id="gpt-5.2"),
    instructions=[
        "Plan a content schedule over 4 weeks for the provided topic and research content",
        "Ensure that I have posts for 3 posts per week",
    ],
)


def custom_content_planning_function(step_input: StepInput) -> StepOutput:
    """
    Custom function that does intelligent content planning with context awareness
    Now also uses additional_data for extra context
    """
    message = step_input.input
    previous_step_content = step_input.previous_step_content

    # Access additional_data that was passed with the workflow
    additional_data = step_input.additional_data or {}
    user_email = additional_data.get("user_email", "No email provided")
    priority = additional_data.get("priority", "normal")
    client_type = additional_data.get("client_type", "standard")

    # Create intelligent planning prompt
    planning_prompt = f"""
        STRATEGIC CONTENT PLANNING REQUEST:

        Core Topic: {message}

        Research Results: {previous_step_content[:500] if previous_step_content else "No research results"}

        Additional Context:
        - Client Type: {client_type}
        - Priority Level: {priority}
        - Contact Email: {user_email}

        Planning Requirements:
        1. Create a comprehensive content strategy based on the research
        2. Leverage the research findings effectively
        3. Identify content formats and channels
        4. Provide timeline and priority recommendations
        5. Include engagement and distribution strategies
        {"6. Mark as HIGH PRIORITY delivery" if priority == "high" else "6. Standard delivery timeline"}

        Please create a detailed, actionable content plan.
    """

    try:
        response = content_planner.run(planning_prompt)

        enhanced_content = f"""
            ## Strategic Content Plan

            **Planning Topic:** {message}

            **Client Details:**
            - Type: {client_type}
            - Priority: {priority.upper()}
            - Contact: {user_email}

            **Research Integration:** {"Research-based" if previous_step_content else "No research foundation"}

            **Content Strategy:**
            {response.content}

            **Custom Planning Enhancements:**
            - Research Integration: {"High" if previous_step_content else "Baseline"}
            - Strategic Alignment: Optimized for multi-channel distribution
            - Execution Ready: Detailed action items included
            - Priority Level: {priority.upper()}
        """.strip()

        return StepOutput(content=enhanced_content, response=response)

    except Exception as e:
        return StepOutput(
            content=f"Custom content planning failed: {str(e)}",
            success=False,
        )


# Define steps using different executor types

research_step = Step(
    name="Research Step",
    team=research_team,
)

content_planning_step = Step(
    name="Content Planning Step",
    executor=custom_content_planning_function,
)


# Define and use examples
if __name__ == "__main__":
    content_creation_workflow = Workflow(
        name="Content Creation Workflow",
        description="Automated content creation with custom execution options",
        db=SqliteDb(
            session_table="workflow_session",
            db_file="tmp/workflow.db",
        ),
        steps=[research_step, content_planning_step],
    )

    # Run workflow with additional_data
    content_creation_workflow.print_response(
        input="AI trends in 2024",
        additional_data={
            "user_email": "[e-mail]",
            "priority": "high",
            "client_type": "enterprise",
        },
        markdown=True,
        stream=True,
    )

    print("\n" + "=" * 60 + "\n")