> ## 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 Nebius agent's response to the terminal with stream=True.

## Code

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

from agno.agent import Agent
from agno.models.nebius import Nebius

agent = Agent(
    model=Nebius(id=os.environ["NEBIUS_MODEL_ID"]),
    markdown=True,
)

# Print the response in the terminal
agent.print_response("write a two sentence horror story", stream=True)
```

## Usage

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

  <Step title="Export environment variables">
    Select an available text-generation model ID from the [Nebius model-list API](https://docs.tokenfactory.nebius.com/api-reference/examples/list-of-models).

    <CodeGroup>
      ```bash macOS / Linux theme={null}
      export NEBIUS_API_KEY="your_nebius_api_key"
      export NEBIUS_MODEL_ID="your_current_text_model_id"
      ```

      ```powershell Windows theme={null}
      $Env:NEBIUS_API_KEY="your_nebius_api_key"
      $Env:NEBIUS_MODEL_ID="your_current_text_model_id"
      ```
    </CodeGroup>
  </Step>

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

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

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