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location_context.py
"""
Location Context
================

Demonstrates adding location and timezone context to team prompts.
"""

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

# ---------------------------------------------------------------------------
# Create Members
# ---------------------------------------------------------------------------
planner = Agent(
    name="Travel Planner",
    model=OpenAIResponses(id="gpt-5-mini"),
    instructions=[
        "Use location context in recommendations.",
        "Keep suggestions concise and practical.",
    ],
)


# ---------------------------------------------------------------------------
# Create Team
# ---------------------------------------------------------------------------
trip_planner_team = Team(
    name="Trip Planner",
    model=OpenAIResponses(id="gpt-5-mini"),
    members=[planner],
    add_location_to_context=True,
    timezone_identifier="America/Chicago",
    instructions=[
        "Plan recommendations around local time and season.",
        "Mention when local timing may affect itinerary decisions.",
    ],
)


# ---------------------------------------------------------------------------
# Run Team
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    trip_planner_team.print_response(
        "What should I pack for a weekend trip based on local time and climate context?",
        stream=True,
    )

​
Run the Example

1

Set up your virtual environment

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

uv venv --python 3.12
.venv\Scripts\activate
2

Install dependencies

uv pip install -U agno openai
3

Export your OpenAI API key

export OPENAI_API_KEY="your_openai_api_key_here"

$Env:OPENAI_API_KEY="your_openai_api_key_here"
4

Run the example

Save the code above as location_context.py, then run:
python location_context.py
Full source: cookbook/03_teams/09_context_management/location_context.py