> ## 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 asynchronous Agno agent's response from a local Ollama llama3.1:8b model using aprint_response with stream=True.

## Code

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

from agno.agent import Agent
from agno.models.ollama import Ollama

agent = Agent(model=Ollama(id="llama3.1:8b"), 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. Install Ollama**

Follow the [Ollama installation guide](https://github.com/ollama/ollama?tab=readme-ov-file#macos) and run:

```bash theme={null}
ollama pull llama3.1:8b
```

**2. Install dependencies**

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

**3. Run Agent**

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

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


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