> ## 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.

# Agent with Tools

> Give a Nebius agent web search with WebSearchTools.

## Code

```python tool_use.py theme={null}
import os

from agno.agent import Agent
from agno.models.nebius import Nebius
from agno.tools.websearch import WebSearchTools

agent = Agent(
    model=Nebius(id=os.environ["NEBIUS_MODEL_ID"]),
    tools=[WebSearchTools()],
    markdown=True,
)

agent.print_response("What's happening in France?", stream=True)
```

Select a text-generation model with [function-calling support](https://docs.tokenfactory.nebius.com/ai-models-inference/function-calling) for this example.

## Usage

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

**1. Export environment variables**

Select an available text-generation model ID from the [Nebius model-list API](https://docs.tokenfactory.nebius.com/api-reference/examples/list-of-models).

```bash macOS / Linux theme={null}
export NEBIUS_API_KEY="your_nebius_api_key"
export NEBIUS_MODEL_ID="your_current_text_model_id"
```

```powershell Windows theme={null}
$Env:NEBIUS_API_KEY="your_nebius_api_key"
$Env:NEBIUS_MODEL_ID="your_current_text_model_id"
```

**2. Install dependencies**

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

**3. Run Agent**

Save the code above as `tool_use.py`, then run:

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


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.