> ## 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.

# Anthropic Image Input URL

> Pass an image URL to Claude and combine vision with web search tools.

```python image_input_url.py theme={null}
"""
Anthropic Image Input Url
=========================

Cookbook example for `anthropic/image_input_url.py`.
"""

from agno.agent import Agent
from agno.media import Image
from agno.models.anthropic import Claude
from agno.tools.websearch import WebSearchTools

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------

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,
)

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------

if __name__ == "__main__":
    pass
```

## Run the Example

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

**1. Install dependencies**

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

**2. Export your Anthropic API key**

```bash Mac/Linux theme={null}
export ANTHROPIC_API_KEY="your_anthropic_api_key_here"
```

```bash Windows theme={null}
$Env:ANTHROPIC_API_KEY="your_anthropic_api_key_here"
```

**3. Run the example**

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

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

Full source: [cookbook/90\_models/anthropic/image\_input\_url.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/90_models/anthropic/image_input_url.py)


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