Render readable PDFs
from wide tables

import Anthropic from "@anthropic-ai/sdk";
const client = new Anthropic();

const tools = [{
  name: "render_pdf",
  description: "Render a client-ready PDF from a CSV or XLSX file URL.",
  input_schema: {
    type: "object",
    required: ["file_url"],
    properties: {
      file_url: { type: "string" },
      mode: { type: "string", enum: ["normal", "compact", "optimized"] }
    }
  }
}];

// When Claude decides to call render_pdf, hit:
// POST https://www.fitforpdf.com/api/agent/render
// Header: X-FITFORPDF-KEY: ffp_live_...
// Body:   { "file_url": "...", "mode": "normal" }

import OpenAI from "openai";
const openai = new OpenAI();

const tools = [{
  type: "function",
  function: {
    name: "render_pdf",
    description: "Render a client-ready PDF from a CSV/XLSX URL.",
    parameters: {
      type: "object",
      required: ["file_url"],
      properties: {
        file_url: { type: "string" },
        mode: { type: "string", enum: ["normal", "compact", "optimized"] }
      }
    }
  }
}];

const response = await openai.chat.completions.create({
  model: "gpt-4o",
  tools,
  messages: [{ role: "user", content: "Turn this export into a PDF" }]
});

from langchain_core.tools import tool
import httpx, os

@tool
def render_pdf(file_url: str, mode: str = "normal") -> dict:
    """Render a client-ready PDF from a CSV/XLSX URL."""
    r = httpx.post(
        "https://www.fitforpdf.com/api/agent/render",
        json={"file_url": file_url, "mode": mode},
        headers={"X-FITFORPDF-KEY": os.environ["FITFORPDF_KEY"]},
        timeout=60,
    )
    r.raise_for_status()
    return r.json()  # { pdf_base64, pages, verdict, score, render_id }