> ## 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 Mode

> DeepSeek V4 models run with thinking mode enabled by default, so you get reasoning_content out of the box.

DeepSeek V4 models run with thinking mode enabled by default, so you get reasoning\_content out of the box. Use the `use_thinking` flag to control it: `use_thinking=True` forces it on, `use_thinking=False` turns it off for a faster, cheaper response.

```python thinking_mode.py theme={null}
"""
Deepseek Thinking Mode
======================

DeepSeek V4 models run with thinking mode enabled by default, so you get
reasoning_content out of the box. Use the `use_thinking` flag to control it:
`use_thinking=True` forces it on, `use_thinking=False` turns it off for a faster,
cheaper response.
"""

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

# ---------------------------------------------------------------------------
# Thinking enabled (default) - returns reasoning_content
# ---------------------------------------------------------------------------

thinking_agent = Agent(model=DeepSeek(id="deepseek-v4-flash"), markdown=True)

# ---------------------------------------------------------------------------
# Thinking disabled - faster, no reasoning_content
# ---------------------------------------------------------------------------

non_thinking_agent = Agent(
    model=DeepSeek(id="deepseek-v4-flash", use_thinking=False),
    markdown=True,
)

# ---------------------------------------------------------------------------
# Run Agents
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    thinking_agent.print_response("Why is the sky blue?", stream=True)

    non_thinking_agent.print_response("Why is the sky blue?", stream=True)
```

## 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 `thinking_mode.py`, then run:

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

Full source: [cookbook/90\_models/deepseek/thinking\_mode.py](https://github.com/agno-agi/agno/blob/main/cookbook/90_models/deepseek/thinking_mode.py)