> ## 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.

# Toggle Thinking Mode

> Control DeepSeek's reasoning with the use_thinking flag.

## Code

V4 models run with thinking enabled by default, so you get `reasoning_content` out of the box. Use the `use_thinking` flag to control it.

```python thinking_mode.py theme={null}
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,
)

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)
```

## Usage

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

**1. Set your API key**

```bash theme={null}
export DEEPSEEK_API_KEY=xxx
```

**2. Install dependencies**

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

**3. Run Agent**

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

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


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