LiteLLM PDF Input URL

pdf_input_url.py

"""
Litellm Pdf Input Url
=====================

Cookbook example for `litellm/pdf_input_url.py`.
"""

from agno.agent import Agent
from agno.media import File
from agno.models.litellm import LiteLLM

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

agent = Agent(
    model=LiteLLM(id="gpt-5.6-luna"),
    markdown=True,
    add_history_to_context=True,
)

agent.print_response(
    "Suggest me a recipe from the attached file.",
    files=[File(url="https://agno-public.s3.amazonaws.com/recipes/ThaiRecipes.pdf")],
)

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------

if __name__ == "__main__":
    pass

Run the Example

Set up your virtual environment

uv venv --python 3.12
source .venv/bin/activate

Install dependencies

uv pip install -U agno litellm

Set your OpenAI credentials

Use an OpenAI API key with access to the requested model. The LiteLLM SDK calls the provider directly. An existing LITELLM_API_KEY overrides provider-specific credentials, so clear it for this example.

unset LITELLM_API_KEY
export OPENAI_API_KEY="your_provider_api_key_here"

Set compatible sampling options

Add temperature=None, top_p=None to every LiteLLM(...) using id="gpt-5.6-luna" or id="openai/gpt-5.6-luna" in your saved file. The adapter defaults to temperature=0.7 and top_p=1.0; the LiteLLM SDK rejects those sampling settings for this model's default reasoning mode before sending a request.

Run the example

Save the code above as pdf_input_url.py, then run:

python pdf_input_url.py

Full source: cookbook/90_models/litellm/pdf_input_url.py