> ## 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.

# Basic Reasoning

> Enable reasoning=True with step bounds, then stream the full reasoning trace.

Demonstrates basic reasoning with an explicit reasoning model.

```python basic_reasoning.py theme={null}
"""
Basic Reasoning
=============================

Demonstrates basic reasoning with an explicit reasoning model.
"""

from agno.agent import Agent
from agno.models.openai import OpenAIResponses

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
reasoning_agent = Agent(
    name="Reasoning Agent",
    model=OpenAIResponses(id="gpt-5.6"),
    reasoning_model=OpenAIResponses(id="o3-mini"),
)

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    reasoning_agent.print_response(
        "A bat and ball cost $1.10 total. The bat costs $1.00 more than the ball."
        " How much does the ball cost?",
        stream=True,
        show_full_reasoning=True,
    )
```

## Run the Example

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

**1. Install dependencies**

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

**2. 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"
```

**3. Run the example**

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

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

Full source: [cookbook/02\_agents/13\_reasoning/basic\_reasoning.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/02_agents/13_reasoning/basic_reasoning.py)


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