Agent with Followup Suggestions

Generate actionable followup prompts after every agent response.

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

   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	Agent’s model	Separate model for generating followups. Use a smaller model to reduce cost.

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"),
)

Developer Resources

• Agent reference
• RunOutput reference