> ## Documentation Index
> Fetch the complete documentation index at: https://docs.agno.com/llms.txt
> Use this file to discover all available pages before exploring further.

# OpenAI PDF Input Bytes

> Attach a PDF as raw bytes and have gpt-5-mini summarize its contents.

```python pdf_input_bytes.py theme={null}
"""
Openai Pdf Input Bytes
=========================
"""

from pathlib import Path

from agno.agent import Agent
from agno.media import File
from agno.models.openai.chat import OpenAIChat
from agno.utils.media import download_file

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------

pdf_path = Path(__file__).parent.joinpath("ThaiRecipes.pdf")

# Download the file using the download_file function
download_file(
    "https://agno-public.s3.amazonaws.com/recipes/ThaiRecipes.pdf", str(pdf_path)
)

agent = Agent(
    model=OpenAIChat(id="gpt-5-mini"),
    markdown=True,
)

agent.print_response(
    "Summarize the contents of the attached file.",
    files=[
        File(
            content=pdf_path.read_bytes(),
        ),
    ],
)
```

## Run the Example

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

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno openai
    ```
  </Step>

  <Step title="Export your OpenAI API key">
    <CodeGroup>
      ```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"
      ```
    </CodeGroup>
  </Step>

  <Step title="Run the example">
    Save the code above as `pdf_input_bytes.py`, then run:

    ```bash theme={null}
    python pdf_input_bytes.py
    ```
  </Step>
</Steps>

Full source: [cookbook/90\_models/openai/chat/pdf\_input\_bytes.py](https://github.com/agno-agi/agno/blob/main/cookbook/90_models/openai/chat/pdf_input_bytes.py)