> ## 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 URL with DashScope's qwen-vl-plus and search the web for more context.

## Code

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

agent = Agent(
    model=DashScope(id="qwen-vl-plus"),
    tools=[WebSearchTools()],
    markdown=True,
)

agent.print_response(
    "Analyze this image in detail and tell me what you see. Also search for more information about the subject.",
    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 DASHSCOPE_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
```


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