> ## 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.

# OpenAI gpt-5-mini with reasoning effort

> Set reasoning_effort to "high" on OpenAIResponses so gpt-5-mini reasons more before answering.

**1. Create reasoning\_effort.py**

```python reasoning_effort.py theme={null}
from agno.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.tools.hackernews import HackerNewsTools

agent = Agent(
    model=OpenAIResponses(id="gpt-5-mini", reasoning_effort="high"),
    tools=[HackerNewsTools()],
    instructions="Use tables to display data.",
    markdown=True,
)

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

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

**2. Install dependencies**

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

**3. Export your OpenAI API key**

```bash Mac/Linux theme={null}
  export OPENAI_API_KEY="your_openai_api_key_here"
```

```bash Windows theme={null}
  $Env:OPENAI_API_KEY="your_openai_api_key_here"
```

**4. Run Agent**

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


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