Location-Aware Agent Instructions

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

Code

location_instructions.py

from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.duckduckgo import DuckDuckGoTools

agent = Agent(
    model=OpenAIChat(id="gpt-5-mini"),
    add_location_to_context=True,
    tools=[DuckDuckGoTools(cache_results=True)],
)
agent.print_response("What city am I in?")
agent.print_response("What is current news about my city?")

Usage

1. Create a virtual environment

   Open the Terminal and create a python virtual environment.

   Mac

   python3 -m venv .venv
   source .venv/bin/activate
   
2. Install libraries

   pip install -U agno openai ddgs
   
3. Export your OpenAI API key

   Mac/Linux

     export OPENAI_API_KEY="your_openai_api_key_here"
   
4. Create a Python file

   Create a Python file and add the above code.

   touch location_instructions.py
   
5. Run Agent

   Mac

   python location_instructions.py
   
6. Find All Cookbooks

   Explore all the available cookbooks in the Agno repository. Click the link below to view the code on GitHub:

   Agno Cookbooks on GitHub