Providing Location

This example demonstrates how to add location context to agent instructions, enabling the agent to provide location-specific responses and search for local information.

Code

location_instructions.py

from agno.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.tools.hackernews import HackerNewsTools

agent = Agent(
    model=OpenAIResponses(id="gpt-5.2"),
    add_location_to_context=True,
    tools=[HackerNewsTools(cache_results=True)],
)
agent.print_response("What city am I in?", stream=True)
agent.print_response("Search for tech news relevant to my location", stream=True)

Usage

1. Create a Python file

   Create location_instructions.py with the code above.

2. Set up your virtual environment

   Mac

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

   uv venv --python 3.12
   .venv\Scripts\activate
   
3. Install dependencies

   uv pip install -U agno openai
   
4. Export your OpenAI API key

   Mac/Linux

   export OPENAI_API_KEY="your_openai_api_key_here"
   

   $Env:OPENAI_API_KEY="your_openai_api_key_here"
   
5. Run Agent

   python location_instructions.py