pdf_input_url.py
Run the Example
1
Set up your virtual environment
2
Install dependencies
3
Export your Google API key
4
Run the example
Save the code above as
pdf_input_url.py, then run:Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Summarize a PDF from a URL and ask follow-ups using InMemoryDb chat history.
"""
Google Pdf Input Url
====================
Cookbook example for `google/gemini/pdf_input_url.py`.
"""
from agno.agent import Agent
from agno.db.in_memory import InMemoryDb
from agno.media import File
from agno.models.google import Gemini
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
model=Gemini(id="gemini-3.5-flash"),
markdown=True,
db=InMemoryDb(),
add_history_to_context=True,
)
agent.print_response(
"Summarize the contents of the attached file.",
files=[File(url="https://agno-public.s3.amazonaws.com/recipes/ThaiRecipes.pdf")],
)
agent.print_response("Suggest me a recipe from the attached file.")
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
pass
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 google-genai
Export your Google API key
export GOOGLE_API_KEY="your_google_api_key_here"
$Env:GOOGLE_API_KEY="your_google_api_key_here"
Run the example
pdf_input_url.py, then run:python pdf_input_url.py
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