> ## Documentation Index
> Fetch the complete documentation index at: https://docs.agno.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Grouped Steps Workflow

> Group steps into a named, reusable sequence with the Steps container.

`Steps` groups a list of steps into one named sequential unit. Pass the unit anywhere a workflow accepts a step-like component, including as a `Router` choice.

## Basic Example

```python grouped_steps_workflow.py theme={null}
from agno.workflow import Step, StepInput, StepOutput, Steps, Workflow


def research(step_input: StepInput) -> StepOutput:
    return StepOutput(content=f"Research for {step_input.input}")


def write(step_input: StepInput) -> StepOutput:
    return StepOutput(content=f"Draft from:\n{step_input.previous_step_content}")


def edit(step_input: StepInput) -> StepOutput:
    return StepOutput(content=f"Edited:\n{step_input.previous_step_content}")

article_creation_sequence = Steps(
    name="ArticleCreation",
    description="Complete article creation workflow from research to final edit",
    steps=[
        Step(name="research", executor=research),
        Step(name="writing", executor=write),
        Step(name="editing", executor=edit),
    ],
)

workflow = Workflow(
    name="Article Creation Workflow",
    steps=[article_creation_sequence],
)

workflow.print_response("Write an article about renewable energy", markdown=True)
```

## Steps with Router

Combine `Steps` with a `Router` to create distinct sequences for different content types or workflows:

```python theme={null}
from agno.workflow import Router, Step, StepInput, StepOutput, Steps, Workflow


def generate_image(step_input: StepInput) -> StepOutput:
    return StepOutput(content=f"Image request: {step_input.input}")


def describe_image(step_input: StepInput) -> StepOutput:
    return StepOutput(content=f"Image description for {step_input.previous_step_content}")


def generate_video(step_input: StepInput) -> StepOutput:
    return StepOutput(content=f"Video request: {step_input.input}")


def describe_video(step_input: StepInput) -> StepOutput:
    return StepOutput(content=f"Video description for {step_input.previous_step_content}")

image_sequence = Steps(
    name="image_generation",
    description="Complete image generation and analysis workflow",
    steps=[
        Step(name="generate_image", executor=generate_image),
        Step(name="describe_image", executor=describe_image),
    ],
)

video_sequence = Steps(
    name="video_generation",
    description="Complete video production and analysis workflow",
    steps=[
        Step(name="generate_video", executor=generate_video),
        Step(name="describe_video", executor=describe_video),
    ],
)

def media_sequence_selector(step_input: StepInput) -> Steps:
    if not step_input.input:
        return image_sequence

    message_lower = step_input.input.lower()

    if "video" in message_lower:
        return video_sequence
    return image_sequence

media_workflow = Workflow(
    name="AI Media Generation Workflow",
    description="Generate and analyze images or videos using AI agents",
    steps=[
        Router(
            name="Media Type Router",
            description="Routes to appropriate media generation pipeline",
            selector=media_sequence_selector,
            choices=[image_sequence, video_sequence],
        ),
    ],
)

media_workflow.print_response("Create an image of a magical forest", markdown=True)
media_workflow.print_response("Create a cinematic video of city timelapse", markdown=True)
```

## Developer Resources

* [Sequential steps example](/workflows/usage/sequence-of-steps)
* [Workflow patterns overview](/workflows/workflow-patterns/overview)

## Reference

For complete API documentation, see [Steps Reference](/reference/workflows/steps-step).