> ## 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.

# Chat Image Agent File

> Attach a local image by filepath, with auto-detected or explicit MIME types.

```python image_agent_file.py theme={null}
from pathlib import Path

import httpx
from agno.agent import Agent
from agno.media import Image
from agno.models.openai import OpenAIChat

agent = Agent(
    model=OpenAIChat(id="gpt-5.6-luna"),
    markdown=True,
)

image_path = Path(__file__).parent.joinpath("sample.jpg")

if not image_path.exists():
    resp = httpx.get(
        "https://picsum.photos/id/1/640/480",
        headers={"User-Agent": "agno-cookbook/1.0"},
        follow_redirects=True,
    )
    image_path.write_bytes(resp.content)

# Auto-detect MIME from file extension (.jpg -> image/jpeg)
agent.print_response(
    "Tell me about this image.",
    images=[Image(filepath=image_path)],
    stream=True,
)

# Explicit MIME type override
agent.print_response(
    "What do you see?",
    images=[Image(filepath=image_path, mime_type="image/jpeg")],
    stream=True,
)
```

## Run the Example

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

**1. Install dependencies**

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

**2. Export your OpenAI API key**

```bash Mac/Linux theme={null}
export OPENAI_API_KEY="your_openai_api_key_here"
```

```bash Windows theme={null}
$Env:OPENAI_API_KEY="your_openai_api_key_here"
```

**3. Run the example**

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

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

Full source: [cookbook/90\_models/openai/chat/image\_agent\_file.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/90_models/openai/chat/image_agent_file.py)


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