Cómo generar un Word o un PDF desde la API de Claude

# pip install anthropic doconda
import json

import anthropic
from doconda import Doconda

claude = anthropic.Anthropic()
tools = Doconda().tools()
specs = [{"name": t.name, "description": t.description, "input_schema": t.input_schema} for t in tools]
messages = [{"role": "user", "content": "Redacta un memo para el equipo en PDF: la oficina cierra el viernes"}]

while True:
    res = claude.messages.create(model="claude-sonnet-5-5", max_tokens=4096, tools=specs, messages=messages)
    messages.append({"role": "assistant", "content": res.content})
    if res.stop_reason != "tool_use":
        break
    messages.append({"role": "user", "content": [
        {"type": "tool_result", "tool_use_id": b.id, "content": json.dumps(next(t for t in tools if t.name == b.name).run(b.input))}
        for b in res.content if b.type == "tool_use"
    ]})

print("".join(b.text for b in res.content if b.type == "text"))

// npm install @anthropic-ai/sdk @doconda/sdk
import Anthropic from "@anthropic-ai/sdk"
import { betaTool } from "@anthropic-ai/sdk/helpers/beta/json-schema"
import { Doconda } from "@doconda/sdk"

const anthropic = new Anthropic()
const doconda = new Doconda()

const message = await anthropic.beta.messages.toolRunner({
  model: "claude-opus-5-5",
  max_tokens: 4096,
  messages: [{ role: "user", content: "Prepara un informe breve sobre el teletrabajo en Word" }],
  tools: doconda.tools().map((t) => betaTool({ ...t, run: async (input) => JSON.stringify(await t.run(input)) })),
})

console.log(message.content)