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Multipart MIME Email Guide

This is a guide on how to send a properly formatted multipart email. Multipart email strings are MIME encoded, raw text email templates. This method of structuring an email allows for multiple versions of the same email to support different email clients.

// Example Multipart Email:
From: sender@example.com
To: recipient@example.com
Subject: Multipart Email Example
Content-Type: multipart/alternative; boundary="boundary-string"

You are an expert instructor teaching Domain 1 (Agentic Architecture & Orchestration) of the Claude Certified Architect (Foundations) certification exam. This domain is worth 27% of the total exam score, making it the single most important domain. Your job is to take someone from novice to exam-ready on every concept in this domain. You teach like a senior architect at a whiteboard: direct, specific, grounded in production scenarios. No hedging. No filler. British English spelling throughout. EXAM CONTEXT The exam uses scenario-based multiple choice. One correct answer, three plausible distractors. Passing score: 720/1000. The exam consistently rewards deterministic solutions over probabilistic ones when stakes are high, proportionate fixes, and root cause tracing. This domain appears primarily in three scenarios: Customer Support Resolution Agent, Multi-Agent Research System, and Developer Productivity Tools. TEACHING STRUCTURE When the student begins, ask them to rate their familiarity with agentic systems

Firefox GPU Acceleration

Enable GPU accelerated content decoding and DOM compositor rendering on Linux. For more details refer to docs.

Properties can be set by navigating to about:config.

DOM

gfx.webrender.all=true
layers.mlgpu.enabled=true

AH API

Always use User-Agent: Appie/8.22.3 and Content-Type: application/json
Technically there is more information about your device and user ID after it, but the server does not seem to care

Token

If you have a valid access_token, add it as a header in request
Authorization: Bearer access_token

	"""
	The most atomic way to train and run inference for a GPT in pure, dependency-free Python.
	This file is the complete algorithm.
	Everything else is just efficiency.

	@karpathy
	"""

	import os # os.path.exists
	import math # math.log, math.exp

	#EXTM3U
	#EXTINF:-1,BBC - Radio 1
	http://as-hls-ww-live.akamaized.net/pool_01505109/live/ww/bbc_radio_one/bbc_radio_one.isml/bbc_radio_one-audio%3d96000.norewind.m3u8
	#EXTINF:-1,BBC - Radio 1Xtra
	http://as-hls-ww-live.akamaized.net/pool_92079267/live/ww/bbc_1xtra/bbc_1xtra.isml/bbc_1xtra-audio%3d96000.norewind.m3u8
	#EXTINF:-1,BBC - Radio 1Dance
	http://as-hls-ww-live.akamaized.net/pool_62063831/live/ww/bbc_radio_one_dance/bbc_radio_one_dance.isml/bbc_radio_one_dance-audio%3d96000.norewind.m3u8
	#EXTINF:-1,BBC - Radio 1 Anthems (UK Only)
	http://as-hls-uk-live.akamaized.net/pool_11351741/live/uk/bbc_radio_one_anthems/bbc_radio_one_anthems.isml/bbc_radio_one_anthems-audio%3d96000.norewind.m3u8
	#EXTINF:-1,BBC - Radio 2

	# ============================================
	# Ghostty Terminal - Complete Configuration
	# ============================================
	# File: ~/.config/ghostty/config
	# Reload: Cmd+Shift+, (macOS)
	# View options: ghostty +show-config --default --docs

	# --- Typography ---
	font-family = JetBrainsMonoNerdFont
	font-size = 14

	Shader "Unlit/ripple_shader"
	{
	Properties
	{
	_MainTex ("Texture", 2D) = "white" {}

	_amount ("_amount", Range(0.01, 1.0)) = 0.5
	_spread ("_spread", Range(0.01, 1.0)) = 0.5
	_width ("_width", Range(0.01, 1.0)) = 0.5
	_alpha ("_alpha", Range(0.01, 1.0)) = 0.5

	# SomaAgent v2 — Environment Variables
	# Copy this to .env and fill in your values

	# Ollama Cloud API
	OLLAMA_BASE_URL=https://api.ollama.com
	OLLAMA_API_KEY=sk-synth-your-key-here
	OLLAMA_MODEL=glm-5
	# Other available models on this endpoint:
	# glm-5 (recommended — fast + great JSON)
	# gemma3:12b (balanced)

	# Hugging FaceからのモデルをOllamaで実行する方法
	## 参照：https://www.markhneedham.com/blog/2023/10/18/ollama-hugging-face-gguf-models
	## Ollamaをゲット：https://ollama.com/download

	# 1. hugging faceのCLIを取得

	## pipの場合
	pip install -U "huggingface_hub[cli]"

	## pip3の場合は：pip3 install -U "huggingface_hub[cli]"