> ## 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.

# 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

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

**1. Set your environment variables**

```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
```

**2. Authenticate your CLI session**

```bash theme={null}
gcloud auth application-default login
```

> [!NOTE]
>
> You don't need to authenticate your CLI every time.

**3. Install dependencies**

```bash theme={null}
uv pip install -U 'anthropic[vertex]' agno
```

**4. Run Agent**

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


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