> ## 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 Claude response through Vertex AI with an Agno agent.

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

## Code

```python streaming_agent.py theme={null}
from typing import Iterator  # noqa
from agno.agent import Agent, RunOutputEvent  # noqa
from agno.models.vertexai.claude import Claude

agent = Agent(model=Claude(id="claude-sonnet-4@20250514"), markdown=True)

# Get the response in a variable
# run_response: Iterator[RunOutputEvent] = agent.run("Share a 2 sentence horror story", stream=True)
# for chunk in run_response:
#     print(chunk.content)

# Print the response in 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 environment variables">
    <CodeGroup>
      ```bash Mac theme={null}
      export CLOUD_ML_REGION=xxx
      export GOOGLE_CLOUD_PROJECT=xxx
      ```

      ```bash Windows theme={null}
      setx CLOUD_ML_REGION xxx
      setx GOOGLE_CLOUD_PROJECT xxx
      ```
    </CodeGroup>
  </Step>

  <Step title="Authenticate your CLI session">
    ```bash theme={null}
    gcloud auth application-default login
    ```

    <Note>You don't need to authenticate your CLI every time.</Note>
  </Step>

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U 'anthropic[vertex]' agno
    ```
  </Step>

  <Step title="Run Agent">
    ```bash theme={null}
    python streaming_agent.py
    ```
  </Step>
</Steps>