This example demonstrates how to use the output_model parameter to specify a different model for generating the final response, enabling model switching during agent execution.

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Code

cookbook/agents/input_and_output/output_model.py
"""
This example shows how to use the output_model parameter to specify the model that will be used to generate the final response.
"""

from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.duckduckgo import DuckDuckGoTools

agent = Agent(
    model=OpenAIChat(id="gpt-4.1"),
    output_model=OpenAIChat(id="gpt-5-mini"),
    tools=[DuckDuckGoTools()],
)

agent.print_response("Latest news from France?", stream=True)

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Usage

1

Create a virtual environment

Open the Terminal and create a python virtual environment.
python3 -m venv .venv
source .venv/bin/activate
2

Install libraries

pip install -U agno openai ddgs
3

Run Agent

python cookbook/agents/input_and_output/output_model.py