> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Providing Location

> Add location context to an agent with add_location_to_context so it can identify the user's city and search local news.

Add location context to agent instructions so the agent can give location-specific responses and search for local information.

## Code

```python location_instructions.py theme={null}
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.

<Snippet file="create-venv-step.mdx" />

**2. Install dependencies**

```bash theme={null}
uv pip install -U agno openai
```

**3. Export your OpenAI API key**

```bash Mac/Linux theme={null}
export OPENAI_API_KEY="your_openai_api_key_here"
```

```bash Windows theme={null}
$Env:OPENAI_API_KEY="your_openai_api_key_here"
```

**4. Run Agent**

```bash theme={null}
python location_instructions.py
```


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