> ## 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 Claude at an image URL and search the web for more context.

Pass an image by URL with `Image(url=...)`. Agno downloads the image and sends it to Claude as base64.

## Code

```python image_input_url.py theme={null}
from agno.agent import Agent
from agno.media import Image
from agno.models.anthropic 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://upload.wikimedia.org/wikipedia/commons/0/0c/GoldenGateBridge-001.jpg"
        ),
    ],
    stream=True,
)
```

## Usage

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

**1. Set your API key**

```bash theme={null}
export ANTHROPIC_API_KEY=xxx
```

**2. Install dependencies**

```bash theme={null}
uv pip install -U anthropic agno ddgs
```

**3. 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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