Mark mvandermeulen

title	date
Wake Up Easy - Our Top 49 Alarm Clocks for Heavy Sleepers	2024-08-11

Are you struggling to wake up from your deep sleep each morning? Look no further than our top-rated alarm clocks designed specifically for heavy sleepers. In this article, we'll showcase some of the most effective and reliable alarm clocks available, helping you start your day refreshed and rejuvenated.

See rune2e.sh for info on how to run the experiment.

Minimal Prompt Chainables

Sequential prompt chaining in one method with context and output back-referencing.

Files

main.py - start here - full example using MinimalChainable from chain.py to build a sequential prompt chain
chain.py - contains zero library minimal prompt chain class
chain_test.py - tests for chain.py, you can ignore this
requirements.py - python requirements

Setup

This is not working complete code.

This is strictly a v0.2, scrapy, proof of concept version of a personal AI Assistant working end to end in just ~726 LOC.

This is the second iteration showcasing the two-way prompt aka multi-step human in the loop. The initial, v0, assistant version is here.

It's only a frame of reference for you to consume the core ideas of how to build a POC of a personal AI Assistant.

To see the high level of how this works check out the explanation video. To follow our agentic journey check out the @IndyDevDan channel.

This is not working complete code.

This is strictly a v0, scrapy, proof of concept for the first version of a personal AI Assistant working end to end in just ~322 LOC.

It's only a frame of reference for you to consume the core ideas of how to build a POC of a personal AI Assistant.

To see the high level of how this works check out the explanation video. To follow our agentic journey check out the @IndyDevDan channel.

Stay focused, keep building.

	"""
	Author : Hossam Ehab
	Info : Stealthy Data Exfiltration Using (DoH) - Client Code
	Date : May 26, 2024
	"""

	import os, glob, requests, logging, struct, base64, random, time, httpx
	from datetime import datetime
	import urllib3
	import win32com.client

	from pathlib import Path
	from os import environ
	from time import sleep
	from textwrap import dedent

	import nestedtext as nt
	import httpx
	import arrow

	API_KEY = environ.get('ANTHROPIC_API_KEY', None)

	import json
	import urllib.parse
	from dataclasses import InitVar, dataclass
	from datetime import datetime, timedelta
	from typing import Protocol

	import httpx
	import llm
	import streamlit as st

	import os
	import asyncio
	import subprocess
	import importlib
	import sys
	from dotenv import load_dotenv
	from lionagi import Session
	from e2b_code_interpreter import CodeInterpreter
	from llama_index.core import (
	VectorStoreIndex,

	from contextlib import asynccontextmanager
	from datetime import datetime
	from fastapi import FastAPI, Request
	import fastapi
	from fastapi.datastructures import State
	from fastapi.responses import JSONResponse
	import redis.asyncio as redis

	class Redis:
	redis_client: redis.Redis = None