> ## 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

> Stream an LMStudio vision agent's response describing an image fetched over HTTP with httpx.

## Code

```python image_agent.py theme={null}
import httpx

from agno.agent import Agent
from agno.media import Image
from agno.models.lmstudio import LMStudio

agent = Agent(
    model=LMStudio(id="llama3.2-vision"),
    markdown=True,
)

response = httpx.get(
    "https://upload.wikimedia.org/wikipedia/commons/0/0c/GoldenGateBridge-001.jpg"
)

agent.print_response(
    "Tell me about this image",
    images=[Image(content=response.content)],
    stream=True,
)
```

## Usage

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

**1. Install LM Studio**

Install LM Studio from [here](https://lmstudio.ai/download) and download the
model you want to use.

**2. Install dependencies**

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