step_choices_parameter.py
"""
Step Choices Parameter
======================
Demonstrates using `step_choices` in a router selector for dynamic step selection.
"""
from typing import List, Union
from agno.agent.agent import Agent
from agno.models.openai import OpenAIChat
from agno.workflow.router import Router
from agno.workflow.step import Step
from agno.workflow.types import StepInput
from agno.workflow.workflow import Workflow
# ---------------------------------------------------------------------------
# Create Agents
# ---------------------------------------------------------------------------
researcher = Agent(
name="researcher",
model=OpenAIChat(id="gpt-4o-mini"),
instructions="You are a researcher.",
)
writer = Agent(
name="writer",
model=OpenAIChat(id="gpt-4o-mini"),
instructions="You are a writer.",
)
reviewer = Agent(
name="reviewer",
model=OpenAIChat(id="gpt-4o-mini"),
instructions="You are a reviewer.",
)
# ---------------------------------------------------------------------------
# Define Router Selector
# ---------------------------------------------------------------------------
def dynamic_selector(
step_input: StepInput,
step_choices: list,
) -> Union[str, Step, List[Step]]:
user_input = step_input.input.lower()
step_map = {s.name: s for s in step_choices if hasattr(s, "name") and s.name}
print(f"Available steps: {list(step_map.keys())}")
if "research" in user_input:
return "researcher"
if "write" in user_input:
return step_map.get("writer", step_choices[0])
if "full" in user_input:
return [step_map["researcher"], step_map["writer"], step_map["reviewer"]]
return step_choices[0]
# ---------------------------------------------------------------------------
# Create Workflow
# ---------------------------------------------------------------------------
workflow = Workflow(
name="Dynamic Routing (step_choices)",
steps=[
Router(
name="Dynamic Router",
selector=dynamic_selector,
choices=[researcher, writer, reviewer],
),
],
)
# ---------------------------------------------------------------------------
# Run Workflow
# ---------------------------------------------------------------------------
if __name__ == "__main__":
workflow.print_response("I need to research something", stream=True)
Run the Example
1
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
2
Install dependencies
uv pip install -U agno cel-python fastapi openai
3
Export your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
4
Run the example
Save the code above as
step_choices_parameter.py, then run:python step_choices_parameter.py