> ## 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.

# Streaming Agent

> Stream a Groq response through an Agno agent.

Set `stream=True` on `print_response()` to print the response as it arrives.

## Code

```python basic.py theme={null}
from agno.agent import Agent
from agno.models.groq import Groq

agent = Agent(model=Groq(id="llama-3.3-70b-versatile"), markdown=True)

# Print the response on the terminal
agent.print_response("Share a 2 sentence horror story", stream=True)
```

## Usage

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

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

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

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

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