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

# Deepseek Thinking Tool Calls

> Deepseek model example.

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

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

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

"""
DeepSeek model's thinking mode now supports tool calls. 
Before outputting the final answer, the model can engage in multiple turns of reasoning and tool calls to improve the quality of the response. 
"""

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

agent.print_response("Whats happening in France?", show_full_reasoning=True)

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------

if __name__ == "__main__":
    pass
```

## Run the Example

```bash theme={null}
# Clone and setup repo
git clone https://github.com/agno-agi/agno.git
cd agno/cookbook/90_models/deepseek

# Create and activate virtual environment
./scripts/demo_setup.sh
source .venvs/demo/bin/activate

python thinking_tool_calls.py
```
