> ## 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.

# Tool Use

> Answer news questions with a DeepSeek V4 Flash agent using web search tools.

```python tool_use.py theme={null}
"""Run `uv pip install ddgs` to install dependencies."""

import asyncio

from agno.agent import Agent
from agno.models.deepseek import DeepSeek
from agno.tools.websearch import WebSearchTools

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------

"""
DeepSeek V4 models support tool calls in both thinking and non-thinking modes.
"""

agent = Agent(
    model=DeepSeek(id="deepseek-v4-flash"),
    tools=[WebSearchTools()],
    markdown=True,
)

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    # --- Sync ---
    agent.print_response("Whats happening in France?")

    # --- Async + Streaming ---
    asyncio.run(agent.aprint_response("Whats happening in France?", stream=True))
```

## Run the Example

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

**1. Install dependencies**

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

**2. Export your DeepSeek API key**

```bash Mac/Linux theme={null}
export DEEPSEEK_API_KEY="your_deepseek_api_key_here"
```

```bash Windows theme={null}
$Env:DEEPSEEK_API_KEY="your_deepseek_api_key_here"
```

**3. Run the example**

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

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

Full source: [cookbook/90\_models/deepseek/tool\_use.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/90_models/deepseek/tool_use.py)


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