> ## 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.

# Image Input Bytes

> Send raw image bytes to a Vertex AI Claude agent and search the web for context.

Pass raw image bytes with `Image(content=...)`.

## Code

```python image_input_bytes.py theme={null}
from pathlib import Path

from agno.agent import Agent
from agno.media import Image
from agno.models.vertexai.claude import Claude
from agno.tools.websearch import WebSearchTools
from agno.utils.media import download_image

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

image_path = Path(__file__).parent.joinpath("sample.jpg")

download_image(
    url="https://upload.wikimedia.org/wikipedia/commons/0/0c/GoldenGateBridge-001.jpg",
    output_path=str(image_path),
)

# Read the image file content as bytes
image_bytes = image_path.read_bytes()

agent.print_response(
    "Tell me about this image and give me the latest news about it.",
    images=[
        Image(content=image_bytes),
    ],
    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]' ddgs agno
```

**4. Run Agent**

Save the code above as `image_input_bytes.py`, then run:

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


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