> ## Documentation Index
> Fetch the complete documentation index at: https://docs.agno.com/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

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

  <Step title="Set your API key">
    ```bash theme={null}
    export HF_TOKEN=xxx
    ```
  </Step>

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U huggingface_hub agno
    ```
  </Step>

  <Step title="Run Agent">
    Save the code above as `basic.py`, then run:

    ```bash theme={null}
    python basic.py
    ```
  </Step>
</Steps>