pdf_input_local.py
Run the Example
1
Set up your virtual environment
2
Install dependencies
3
Export your LiteLLM API key
4
Run the example
Save the code above as
pdf_input_local.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 local PDF file to a LiteLLM agent and ask questions about a specific recipe.
"""
Litellm Pdf Input Local
=======================
Cookbook example for `litellm/pdf_input_local.py`.
"""
from pathlib import Path
from agno.agent import Agent
from agno.media import File
from agno.models.litellm import LiteLLM
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=LiteLLM(id="gpt-4o"),
markdown=True,
add_history_to_context=True,
)
agent.print_response(
"What is the recipe for Gaeng Som Phak Ruam? Also what are the health benefits. Refer to the attached file.",
files=[File(filepath=pdf_path)],
)
# ---------------------------------------------------------------------------
# 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 litellm
Export your LiteLLM API key
export LITELLM_API_KEY="your_litellm_api_key_here"
$Env:LITELLM_API_KEY="your_litellm_api_key_here"
Run the example
pdf_input_local.py, then run:python pdf_input_local.py
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