> ## 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.

# High Fidelity Image Input

> Set `Image(detail="high")` for higher-fidelity image analysis.

Set the `detail` parameter to `"high"` for high fidelity image analysis.

## Code

```python image_input_high_fidelity.py theme={null}
from agno.agent import Agent
from agno.media import Image
from agno.models.openai import OpenAIResponses

agent = Agent(
    model=OpenAIResponses(id="gpt-5.2"),
    markdown=True,
)

agent.print_response(
    "What's in these images",
    images=[
        Image(
            url="https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg",
            detail="high",
        )
    ],
)
```

## Usage

<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 Agent**

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


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