> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# PDF Input URL

> Fetch a PDF from a URL and summarize it with a Vertex AI Claude agent.

Vertex AI accepts only base64-encoded document sources, so fetch the PDF and pass its bytes with `File(content=...)`. `File(url=...)` sends a URL document source, which Vertex AI rejects.

## Code

```python pdf_input_url.py theme={null}
import httpx

from agno.agent import Agent
from agno.media import File
from agno.models.vertexai.claude import Claude

agent = Agent(
    model=Claude(id="claude-sonnet-4@20250514"),
    markdown=True,
)

pdf_bytes = httpx.get(
    "https://agno-public.s3.amazonaws.com/recipes/ThaiRecipes.pdf"
).content

agent.print_response(
    "Summarize the contents of the attached file.",
    files=[
        File(content=pdf_bytes),
    ],
)
```

## Usage

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

**1. Set your environment variables**

```bash Mac theme={null}
export CLOUD_ML_REGION=xxx
export GOOGLE_CLOUD_PROJECT=xxx
```

```bash Windows theme={null}
setx CLOUD_ML_REGION xxx
setx GOOGLE_CLOUD_PROJECT xxx
```

**2. Authenticate your CLI session**

```bash theme={null}
gcloud auth application-default login
```

> [!NOTE]
>
> You don't need to authenticate your CLI every time.

**3. Install dependencies**

```bash theme={null}
uv pip install -U 'anthropic[vertex]' agno
```

**4. Run Agent**

```bash theme={null}
python pdf_input_url.py
```


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.