Agent with Followup Suggestions

Generate followup prompts after agent responses.

Set followups=True to generate prompt suggestions when a run returns content. Agno makes a second model call using the user input and response.

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-5.4-mini"),
       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 or [], 1):
       print(f"  {i}. {suggestion}")
   
2. Set up your virtual environment

   Mac

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

   uv venv --python 3.12
   .venv\Scripts\activate
   
3. Install dependencies

   uv pip install -U agno openai
   
4. Export your OpenAI API key

   Mac/Linux

   export OPENAI_API_KEY="your_openai_api_key_here"
   

   $Env:OPENAI_API_KEY="your_openai_api_key_here"
   
5. Run Agent

   python followup_suggestions.py
   

Options

Parameter	Type	Default	Description
followups	bool	False	Enable followup suggestion generation
num_followups	int	3	Number of suggestions to generate (minimum 1)
followup_model	Model | str	None	Model used for followups. None reuses the agent’s model.

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-5.4-mini"),
    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 or [], 1):
                print(f"  {i}. {suggestion}")


asyncio.run(main())

Using a separate model

Use followup_model to run followup generation with a separate model.

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

agent = Agent(
    model=OpenAIResponses(id="gpt-5.4-mini"),
    followups=True,
    num_followups=3,
    followup_model=OpenAIResponses(id="gpt-4o-mini"),
)

Developer Resources

• Agent reference
• RunOutput reference