pdf_input_bytes.py
Run the Example
1
Set up your virtual environment
2
Install dependencies
3
Export your OpenAI API key
4
Run the example
Save the code above as
pdf_input_bytes.py, then run:Documentation Index
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, then run:python pdf_input_bytes.py
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