> ## 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.

# Async Basic Stream

> Stream an async Neosantara response with aprint_response and stream=True.

## Code

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

from agno.agent import Agent
from agno.models.neosantara import Neosantara

agent = Agent(
    model=Neosantara(id="grok-4.1-fast-non-reasoning"),
    markdown=True,
)

# Print the response in the terminal
asyncio.run(agent.aprint_response("Share a 2 sentence horror story", stream=True))
```

## Usage

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

**1. Set your API key**

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

**2. Install dependencies**

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

**3. Run Agent**

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

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


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