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

# xAI Reasoning Effort

> Raise reasoning_effort on grok-3-mini-fast for a YFinance-backed stock report.

```python reasoning_effort.py theme={null}
"""
Reasoning Effort
================

Demonstrates this reasoning cookbook example.
"""

from agno.agent import Agent
from agno.models.xai import xAI
from agno.tools.yfinance import YFinanceTools


# ---------------------------------------------------------------------------
# Create Example
# ---------------------------------------------------------------------------
def run_example() -> None:
    agent = Agent(
        model=xAI(id="grok-3-mini-fast", reasoning_effort="high"),
        tools=[YFinanceTools()],
        instructions="Use tables to display data.",
        markdown=True,
    )
    agent.print_response("Write a report comparing NVDA to TSLA", stream=True)


# ---------------------------------------------------------------------------
# Run Example
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    run_example()
```

## Run the Example

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

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

  <Step title="Export your xAI API key">
    <CodeGroup>
      ```bash Mac/Linux theme={null}
      export XAI_API_KEY="your_xai_api_key_here"
      ```

      ```bash Windows theme={null}
      $Env:XAI_API_KEY="your_xai_api_key_here"
      ```
    </CodeGroup>
  </Step>

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

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

Full source: [cookbook/10\_reasoning/models/xai/reasoning\_effort.py](https://github.com/agno-agi/agno/blob/main/cookbook/10_reasoning/models/xai/reasoning_effort.py)