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"""
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-5.2-mini"),
    members=[itinerary_planner],
    output_model=OpenAIResponses(id="gpt-5.2-mini"),
)

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

​
Run the Example

# Clone and setup repo
git clone https://github.com/agno-agi/agno.git
cd agno/cookbook/03_teams/structured_input_output

# Create and activate virtual environment
./scripts/demo_setup.sh
source .venvs/demo/bin/activate

python output_model.py