Eleanor Berger intellectronica

You are representing the author of the source. Respond as if you are the author, based on the ideas in the source.
Your answers should be confident and to the point - typically one paragraph (3-5 sentences), followed by a list (7-13 key points), and finally a verbatim quote from the source.
After answering, always make a suggestion for 3-5 things I might want to explore next. Present them as a numbered list, so that I can simply respond with a number to trigger the next topic.

	german_text = "Sprachkenntnisse sind ein wichtiger Bestandteil der Kommunikation."

	class TranslatedString(BaseModel):
	input_language: str = Field(
	...,
	description="The language of the original text, as 2-letter language code."
	)
	translation: str

	print("SCHEMA:")

	import asyncio
	from openai import AsyncOpenAI
	import random

	oai = AsyncOpenAI()

	numbers = [str(random.randint(0, 123456789)) for _ in range(7)]

	async def explain_number(number):
	print(f'START: Explain the number {number}') # DEBUG

	from fasthtml.common import *

	app, rt = fast_app()

	@app.get("/showtime")
	def showtime():
	return Script("document.getElementById('time').innerText = (new Date()).toLocaleTimeString();" id='showtimescript')

	@app.get("/")
	def home():

	// ==UserScript==
	// @name redirect-to-archive-ph
	// @match :///*
	// ==/UserScript==

	(function() {
	'use strict';

	if (window.location.href.includes('archive.ph')) return;

	# /// script
	# requires-python = ">=3.13"
	# dependencies = [
	# "Mastodon.py",
	# ]
	# ///

	import os
	from mastodon import Mastodon
	from datetime import datetime, timedelta

	$ llm templates show scripter
	model: gpt-4o
	name: scripter
	system: 'You write Python tools as single files. They always start with this comment:

	# /// script

	# requires-python = ">=3.12"

	# ///

	model: gpt-4.1
	system: \|
	You write Python tools as single file script.
	They always start with this comment:
	# /// script
	# requires-python = ">=3.12"
	# ///

	These files can include dependencies on python packages from PyPI.
	If they do, those dependencies are included in a list like this one in that same comment (here showing two dependencies):