> ## 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 URL

> Point a Vertex AI Claude agent at an image URL and search the web for context.

Pass an image URL with `Image(url=...)`.

## Code

```python image_input_url.py theme={null}
from agno.agent import Agent
from agno.media import Image
from agno.models.vertexai.claude import Claude
from agno.tools.websearch import WebSearchTools

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

agent.print_response(
    "Tell me about this image and search the web for more information.",
    images=[
        Image(
            url="https://fastly.picsum.photos/id/237/200/300.jpg?hmac=TmmQSbShHz9CdQm0NkEjx1Dyh_Y984R9LpNrpvH2D_U"
        ),
    ],
    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_url.py`, then run:

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


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