> ## 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 Streaming Agent

> Stream a HuggingFace agent response asynchronously with aprint_response().

## Code

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

from agno.agent import Agent
from agno.models.huggingface import HuggingFace

agent = Agent(
    model=HuggingFace(
        id="mistralai/Mistral-7B-Instruct-v0.2", max_tokens=4096, temperature=0
    ),
)
asyncio.run(
    agent.aprint_response(
        "What is meaning of life and then recommend 5 best books to read about it",
        stream=True,
    )
)
```

## Usage

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

**1. Set your API key**

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

**2. Install dependencies**

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

**3. Run Agent**

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

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


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