> ## 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 Agent

> Analyze an image with a Vercel v0 agent and search the web for related news.

## Code

```python image_agent.py theme={null}
from agno.agent import Agent
from agno.media import Image
from agno.models.vercel import V0
from agno.tools.websearch import WebSearchTools

agent = Agent(
    model=V0(id="v0-1.0-md"),
    tools=[WebSearchTools()],
    markdown=True,
)

agent.print_response(
    "Tell me about this image and give me the latest news about it.",
    images=[
        Image(
            url="https://upload.wikimedia.org/wikipedia/commons/0/0c/GoldenGateBridge-001.jpg"
        )
    ],
    stream=True,
)
```

> [!WARNING]
>
> Vercel retired the v0 Model API endpoint (`https://api.v0.dev/v1/`) that this integration targets, in favor of the Platform API. Requests made with `V0` will fail until Agno updates this integration. See [Vercel's community announcement](https://community.vercel.com/t/has-the-v0-api-model-been-updated/32229).

## Usage

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

**1. Set your API key**

```bash theme={null}
export V0_API_KEY=xxx
```

**2. Install dependencies**

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

**3. Run Agent**

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

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


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.