Output Model

Demonstrates setting a dedicated model for final team response generation.

output_model.py
"""
Output Model
============

Demonstrates setting a dedicated model for final team response generation.
"""

from agno.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.team import Team
from agno.tools.websearch import WebSearchTools

# ---------------------------------------------------------------------------
# Create Members
# ---------------------------------------------------------------------------
itinerary_planner = Agent(
    name="Itinerary Planner",
    model=OpenAIResponses(id="gpt-5.2"),
    description="You help people plan amazing vacations. Use the tools at your disposal to find latest information about the destination.",
    tools=[WebSearchTools()],
)

# ---------------------------------------------------------------------------
# Create Team
# ---------------------------------------------------------------------------
travel_expert = Team(
    model=OpenAIResponses(id="gpt-5-mini"),
    members=[itinerary_planner],
    output_model=OpenAIResponses(id="gpt-5-mini"),
)

# ---------------------------------------------------------------------------
# Run Team
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    travel_expert.print_response("Plan a summer vacation in Paris", stream=True)

Separate final generation

output_model makes an additional model call for the final response, using the conversation after the leader's trailing answer is removed. The output model has no tools in that call; it relies on context from the preceding team run. Here it uses the same model ID as the leader, but it is a separate generation step.

Run the Example

Set up your virtual environment

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

Install dependencies

uv pip install -U agno ddgs openai

Export your OpenAI API key

export OPENAI_API_KEY="your_openai_api_key_here"

Run the example

Save the code above as output_model.py, then run:

python output_model.py

Full source: cookbook/03_teams/04_structured_input_output/output_model.py