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Set followups=True to automatically generate followup prompt suggestions after each response. The agent makes a second model call to produce short, action-oriented prompts based on the conversation.
1

Create a Python file

followup_suggestions.py
from agno.agent import Agent
from agno.models.openai import OpenAIResponses

agent = Agent(
    model=OpenAIResponses(id="gpt-4o"),
    followups=True,
    num_followups=3,
)

response = agent.run("What is quantum computing?")

print(response.content)
print("\nFollowup suggestions:")
for i, suggestion in enumerate(response.followups, 1):
    print(f"  {i}. {suggestion}")
2

Set up your virtual environment

uv venv --python 3.12
source .venv/bin/activate
3

Install dependencies

uv pip install -U agno openai
4

Export your OpenAI API key

export OPENAI_API_KEY="your_openai_api_key_here"
5

Run Agent

python followup_suggestions.py

​
Options

ParameterTypeDefaultDescription
followupsboolFalseEnable followup suggestion generation
num_followupsint3Number of suggestions to generate (minimum 1)
followup_modelModelAgent’s modelSeparate model for generating followups. Use a smaller model to reduce cost.

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Streaming

Followup suggestions are available via events when streaming. The FollowupsCompleted event carries the suggestions after the main response finishes.
followup_suggestions_streaming.py
import asyncio

from agno.agent import Agent, RunEvent
from agno.models.openai import OpenAIResponses

agent = Agent(
    model=OpenAIResponses(id="gpt-4o"),
    followups=True,
    num_followups=3,
)


async def main():
    async for event in agent.arun(
        "What is quantum computing?",
        stream=True,
        stream_events=True,
    ):
        if event.event == RunEvent.run_content and event.content:
            print(event.content, end="", flush=True)

        if event.event == RunEvent.followups_completed:
            print("\n\nFollowup suggestions:")
            for i, suggestion in enumerate(event.followups, 1):
                print(f"  {i}. {suggestion}")


asyncio.run(main())

​
Using a separate model

Use followup_model to offload followup generation to a cheaper model. 
from agno.agent import Agent
from agno.models.openai import OpenAIResponses

agent = Agent(
    model=OpenAIResponses(id="gpt-4o"),
    followups=True,
    num_followups=3,
    followup_model=OpenAIResponses(id="gpt-4o-mini"),
)

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