> ## 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.

# Thinking (Interactions)

> Set thinking_level on GeminiInteractions and stream the reasoning behind a response.

## Code

```python thinking.py theme={null}
import asyncio

from agno.agent import Agent
from agno.models.google import GeminiInteractions

agent = Agent(
    model=GeminiInteractions(
        id="gemini-3.5-flash",
        thinking_level="high",
    ),
    markdown=True,
)

if __name__ == "__main__":
    agent.print_response(
        "Solve: If a train travels at 60 mph for 2.5 hours, then at 80 mph for 1.5 hours, what is the total distance and average speed?"
    )

    asyncio.run(
        agent.aprint_response(
            "Explain why the sum of angles in a triangle is always 180 degrees.",
            stream=True,
        )
    )
```

## Usage

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

**1. Set your API key**

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

**2. Install dependencies**

```bash theme={null}
uv pip install -U "google-genai>=2.0" agno
```

**3. Run Agent**

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

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


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