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