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

# DeepSeek Reasoning Agent

> Solve the missionaries and cannibals puzzle with DeepSeek V4 Pro reasoning.

```python reasoning_agent.py theme={null}
"""
Deepseek Reasoning Agent
========================

Cookbook example for `deepseek/reasoning_agent.py`.
"""

from agno.agent import Agent
from agno.models.deepseek import DeepSeek

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

task = (
    "Three missionaries and three cannibals need to cross a river. "
    "They have a boat that can carry up to two people at a time. "
    "If, at any time, the cannibals outnumber the missionaries on either side of the river, the cannibals will eat the missionaries. "
    "How can all six people get across the river safely? Provide a step-by-step solution and show the solutions as an ascii diagram"
)

agent = Agent(
    model=DeepSeek(
        id="deepseek-v4-pro",
    ),
    markdown=True,
)
agent.print_response(task, stream=True)

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

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

## Run the Example

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

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno openai
    ```
  </Step>

  <Step title="Export your DeepSeek API key">
    <CodeGroup>
      ```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"
      ```
    </CodeGroup>
  </Step>

  <Step title="Run the example">
    Save the code above as `reasoning_agent.py`, then run:

    ```bash theme={null}
    python reasoning_agent.py
    ```
  </Step>
</Steps>

Full source: [cookbook/90\_models/deepseek/reasoning\_agent.py](https://github.com/agno-agi/agno/blob/main/cookbook/90_models/deepseek/reasoning_agent.py)