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import type { Context, Models, SimpleStreamOptions, Usage } from "@earendil-works/pi-ai";

export const DEFAULT_MODEL = "github-copilot/gpt-6-luna";
export type Json = null | boolean | number | string | Json[] | { [key: string]: Json };
export type Question =
  | { type: "noul"; instructions: string; criteria?: { true: string; false: string } }
  | { type: "choice"; instructions: string; criteria: Record<string, string> }
  | { type: "score"; instructions: string; criteria: string[] };
export type Questions = Record<string, Question>;
export type Answer =

rcarmo

Piclaw Earendil 0.80.9 Upgrade Plan

Prepared: 2026-07-16
Baseline: Piclaw 6f340fd65 on main
Current Earendil: 0.80.7
Target Earendil: 0.80.9
Scope: @earendil-works/pi-agent-core, @earendil-works/pi-ai, @earendil-works/pi-coding-agent, and all Piclaw-private provider/model extensions that register providers, inspect models, or issue auxiliary model requests

1. Executive summary

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#!/usr/bin/env python3
"""
Print the lm-sensors "Package id 0" temperature in a huge terminal font.

Usage:
  ./scripts/package-temp-big.py           # watch, run sensors every 2s, large font
  ./scripts/package-temp-big.py -i 5      # watch every 5s
  ./scripts/package-temp-big.py --scale 3 # even larger
  ./scripts/package-temp-big.py --once    # one-shot
  sensors | ./scripts/package-temp-big.py --stdin

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The Steering/Auditor Loop

How a steering auditor supervises a set of independent worker sessions toward a goal — without ever doing the work itself. This describes the mechanism only; it says nothing about what any individual worker is actually building.

---

Roles

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#!/usr/bin/env python3
"""
Provision a Cloudflare Tunnel and install a systemd service.

Usage:
  sudo python3 setup.py \
      --tunnel-name piclaw-vm \
      --hostname piclaw.example.com \
      --service-url http://localhost:3000 \
      --user agent

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[default]
signing_required=yes
streams=yes
soft=yes
dir_cache_max_cnt=0
protocol_vers_map=6
mc_prefer_wired=yes

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#!/usr/bin/env python3
import asyncio
import socket
import json
import curses
import argparse
from collections import defaultdict, deque

MAX_HISTORY = 200  # Max history samples to keep
BRAILLE_4 = ["⣀", "⣄", "⣆", "⣇", "⣿"]  # 0–4 levels

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#!/usr/bin/env python3
"""
norns_helper.py - MCP server for Norns development workflow automation

This Model Context Protocol (MCP) server provides tools for deploying and debugging 
Norns audio scripts remotely over SSH. It was designed to eliminate manual SSH 
workflows and Makefile dependencies, enabling rapid iteration during development.

Target System:
Monome Norns (https://monome.org/docs/norns/) is a sound computer for exploring new 

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function initCentroids(pts, k) {
  var randPts = pts.slice(0);
  randPts.sort(() => Math.floor(Math.random() * pts.length));
  return randPts.slice(0, k);
}

function dist(v1, v2) {
  var sum = 0;
  for (var i = 0; i < v1.length; i++) {
    if (i !== 0) sum += Math.pow(v2[i] - v1[i], 2);

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#! /usr/bin/env python3

# Adapted from grzegorz914@icloud.com
# see https://github.com/grzegorz914/homebridge-enphase-envoy
# <xbar.title>Enphase Solar (Averages)</bitbar.title>
# <xbar.version>v1.2</xbar.version>
# <xbar.author>Jason Snell</xbar.author>
# <xbar.author.github>jasonsnell</xbar.author.github>
# <xbar.desc>Display local Enphase solar stats.</xbar.desc>
# <swiftbar.hideAbout>true</swiftbar.hideAbout>