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

# Responses PDF Input URL

> Summarize a PDF by URL with file_search and web search, then read citations from the stored session.

```python pdf_input_url.py theme={null}
"""
Openai Pdf Input Url
====================

Cookbook example for `openai/responses/pdf_input_url.py`.
"""

from agno.agent import Agent
from agno.db.postgres import PostgresDb
from agno.media import File
from agno.models.openai.responses import OpenAIResponses

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

# Setup the database for the Agent Session to be stored
db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"
db = PostgresDb(db_url=db_url)

agent = Agent(
    model=OpenAIResponses(id="gpt-5.2"),
    db=db,
    tools=[{"type": "file_search"}, {"type": "web_search_preview"}],
    markdown=True,
)

agent.print_response(
    "Summarize the contents of the attached file and search the web for more information.",
    files=[File(url="https://agno-public.s3.amazonaws.com/recipes/ThaiRecipes.pdf")],
)

# Get the stored Agent session, to check the response citations
session = agent.get_session()
if session and session.runs and session.runs[-1].citations:
    print("Citations:")
    print(session.runs[-1].citations)

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

if __name__ == "__main__":
    pass
```

## Run the Example

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

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno "psycopg[binary]" openai sqlalchemy
    ```
  </Step>

  <Step title="Export your OpenAI API key">
    <CodeGroup>
      ```bash Mac/Linux theme={null}
      export OPENAI_API_KEY="your_openai_api_key_here"
      ```

      ```bash Windows theme={null}
      $Env:OPENAI_API_KEY="your_openai_api_key_here"
      ```
    </CodeGroup>
  </Step>

  <Snippet file="run-pgvector-step.mdx" />

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

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

Full source: [cookbook/90\_models/openai/responses/pdf\_input\_url.py](https://github.com/agno-agi/agno/blob/main/cookbook/90_models/openai/responses/pdf_input_url.py)