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

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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?")

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Usage

1

Create a virtual environment

Open the Terminal and create a python virtual environment.
python3 -m venv .venv
source .venv/bin/activate
2

Install libraries

pip install -U agno openai ddgs
3

Export your OpenAI API key

  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

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
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