Documentation IndexFetch the complete documentation index at: /llms.txtUse this file to discover all available pages before exploring further.
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Attach a PDF as raw bytes and have gpt-5-mini summarize its contents.
""" 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(), ), ], )
Set up your virtual environment
uv venv --python 3.12 source .venv/bin/activate
uv venv --python 3.12 .venv\Scripts\activate
Install dependencies
uv pip install -U agno openai
Export your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
Run the example
pdf_input_bytes.py
python pdf_input_bytes.py
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