> ## Documentation Index
> Fetch the complete documentation index at: https://docs.agno.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Agent with PDF Input (URL)

> Pass a PDF by URL to a Gemini agent with File(url=...).

## Code

```python pdf_input_url.py theme={null}
from agno.agent import Agent
from agno.db.in_memory import InMemoryDb
from agno.media import File
from agno.models.google import Gemini

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.")
```

## Usage

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="Set your API key">
    ```bash theme={null}
    export GOOGLE_API_KEY=xxx
    ```
  </Step>

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U google-genai agno
    ```
  </Step>

  <Step title="Run Agent">
    Save the code above as `pdf_input_url.py`, then run:

    ```bash theme={null}
    python pdf_input_url.py
    ```
  </Step>
</Steps>