> ## 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.

# Reasoning O3 Mini

> Stream a stock report from an o3-mini agent with YFinanceTools through the OpenAI Responses API.

## Code

```python reasoning_o3_mini.py theme={null}
from agno.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.tools.yfinance import YFinanceTools

agent = Agent(
    model=OpenAIResponses(id="o3-mini"),
    tools=[YFinanceTools()],
    markdown=True,
)

# Print the response in the terminal
agent.print_response("Write a report on the NVDA, is it a good buy?", stream=True)

```

## Usage

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

**1. Set your API key**

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

**2. Install dependencies**

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

**3. Run Agent**

Save the code above as `reasoning_o3_mini.py`, then run:

```bash theme={null}
python reasoning_o3_mini.py
```


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