> ## 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.

# Agent with Reasoning Effort

> Control how much reasoning o3-mini does with the reasoning_effort parameter.

## Code

```python reasoning_effort.py theme={null}
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.websearch import WebSearchTools

agent = Agent(
    model=OpenAIChat(id="o3-mini", reasoning_effort="high"),
    tools=[WebSearchTools(enable_news=False)],
    instructions="Use tables to display data.",
    markdown=True,
)

agent.print_response("Write a report comparing NVDA to TSLA", stream=True)
```

## Usage

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

  <Step title="Set your API key">
    ```bash theme={null}
    export OPENAI_API_KEY=xxx
    ```
  </Step>

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

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

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