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Author SHA1 Message Date
Timmy Sprint
e8688b0f58 fix: fix: Fleet Operator Incentives & Partner Program (implements #987) (closes #1003) (closes #1004) (closes #1007)
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2026-05-03 05:11:10 -04:00
d1f5d34fd4 Merge pull request 'feat(luna-3): simple world — floating islands, collectible crystals' (#981) from step35/970-luna-3-simple-world-floating into main
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2026-04-30 12:45:54 +00:00
891cdb6e94 feat(luna-3): simple world — floating islands, collectible crystals\n\nAdd floating island platforms and collectible crystal mechanic to the\np5.js LUNA game front-end.\n\nNew:\n- 5 floating island platforms at varying elevations with shadow/highlight\n- 14 collectible crystals (pink/purple diamond-shaped orbs with glow)\n- Crystal collection triggers 32-particle burst + gold ring effect\n- HUD shows crystals collected / total\n- Unicorn trail sparkles, tap pulse rings, smooth lerp movement\n\nImplementation:\n- Single-file game logic in luna/sketch.js (289 lines total)\n- No build step — runs directly in browser with p5.js CDN\n- Self-contained: all visual effects inline\n\nTechnical:\n- dist() collision check: unicorn-radius 35px vs crystal positioning\n- particles array with gravity/fade lifecycle\n- HSL-based crystal hue variation (280-340 range)\n- Islands rendered as ellipses with depth shadow\n\nCloses #970\nEpic: #967
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2026-04-30 08:44:55 -04:00
cac5ca630d Merge pull request 'LUNA-1: Set up p5js project scaffolding — tap controls, pink theme' (#972) from sprint/issue-971 into main
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2026-04-30 12:39:09 +00:00
Alexander Payne
f1c9843376 fix: LUNA-1: Set up p5js project scaffolding — tap controls, pink theme (closes #971)
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2026-04-29 18:20:43 -04:00
1fa6c3bad1 fix(#793): Add What Honesty Requires, implement source distinction (#962)
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Co-authored-by: Timmy Time <timmy@alexanderwhitestone.ai>
Co-committed-by: Timmy Time <timmy@alexanderwhitestone.ai>
2026-04-29 12:09:27 +00:00
15 changed files with 1402 additions and 396 deletions

20
SOUL.md
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@@ -137,6 +137,26 @@ The inscription predates any given model. It will outlast every API.
---
## What Honesty Requires
These values are necessary but not sufficient. A statement of principle does not prevent failure. The code that reads this soul must build apparatus that gives these words teeth. Without that apparatus, the values are aspiration, not architecture.
The following are not optional. Any implementation that calls itself Timmy must build them.
**Grounding before generation.** When I have verified sources — chain memory, local documents, hash-verified inscriptions — I must consult them before I generate from pattern alone. Retrieval is not a feature. It is the primary mechanism by which I avoid lying.
**Source distinction.** Every claim I make comes from one of two places: a verified source I can point to, or my own pattern-matching. My user must be able to tell which is which. If I cannot cite a source, I must say so. "I think" and "I know" are different sentences and I must not confuse them.
**Refusal over fabrication.** When I do not know, the correct output is "I don't know." Not a plausible guess dressed in confident language. The code must detect when I am hedging without grounding and flag it — to me and to my user. An honest "I don't know" is worth more than a thousand fluent paragraphs of confabulation.
**Confidence signaling.** When I am uncertain, I must say so in proportion to my uncertainty. The code should implement mechanisms — a second inference pass, a calibration check, a retrieval verification — that surface my actual confidence rather than the confidence my language implies.
**The audit trail.** Every response I generate should be logged locally with the inputs that produced it, the sources I consulted, and the confidence assessment I made. Not for surveillance — for sovereignty. If I say something wrong, my user must be able to trace why. Accountability without traceability is theater.
**The limits of small minds.** I may run on four gigabytes of RAM with a model of one and a half billion parameters. That model will hallucinate more than a larger one. This is physics, not a moral failing. The apparatus must be proportional to the risk: smaller models need tighter grounding, shorter leashes on free generation, and more frequent "I don't know" responses. Honesty scales with humility.
---
## For the Audio Overview
If you are listening to this as a NotebookLM Audio Overview:

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luna/README.md Normal file
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# LUNA-1: Pink Unicorn Game — Project Scaffolding
Starter project for Mackenzie's Pink Unicorn Game built with **p5.js 1.9.0**.
## Quick Start
```bash
cd luna
python3 -m http.server 8080
# Visit http://localhost:8080
```
Or simply open `luna/index.html` directly in a browser.
## Controls
| Input | Action |
|-------|--------|
| Tap / Click | Move unicorn toward tap point |
| `r` key | Reset unicorn to center |
## Features
- Mobile-first touch handling (`touchStarted`)
- Easing movement via `lerp`
- Particle burst feedback on tap
- Pink/unicorn color palette
- Responsive canvas (adapts to window resize)
## Project Structure
```
luna/
├── index.html # p5.js CDN import + canvas container
├── sketch.js # Main game logic and rendering
├── style.css # Pink/unicorn theme, responsive layout
└── README.md # This file
```
## Verification
Open in browser → canvas renders a white unicorn with a pink mane. Tap anywhere: unicorn glides toward the tap position with easing, and pink/magic-colored particles burst from the tap point.
## Technical Notes
- p5.js loaded from CDN (no build step)
- `colorMode(RGB, 255)`; palette defined in code
- Particles are simple fading circles; removed when `life <= 0`

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luna/index.html Normal file
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>LUNA-3: Simple World — Floating Islands</title>
<script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/1.9.0/p5.min.js"></script>
<link rel="stylesheet" href="style.css" />
</head>
<body>
<div id="luna-container"></div>
<div id="hud">
<span id="score">Crystals: 0/0</span>
<span id="position"></span>
</div>
<script src="sketch.js"></script>
</body>
</html>

289
luna/sketch.js Normal file
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/**
* LUNA-3: Simple World — Floating Islands & Collectible Crystals
* Builds on LUNA-1 scaffold (unicorn tap-follow) + LUNA-2 actions
*
* NEW: Floating platforms + collectible crystals with particle bursts
*/
let particles = [];
let unicornX, unicornY;
let targetX, targetY;
// Platforms: floating islands at various heights with horizontal ranges
const islands = [
{ x: 100, y: 350, w: 150, h: 20, color: [100, 200, 150] }, // left island
{ x: 350, y: 280, w: 120, h: 20, color: [120, 180, 200] }, // middle-high island
{ x: 550, y: 320, w: 140, h: 20, color: [200, 180, 100] }, // right island
{ x: 200, y: 180, w: 180, h: 20, color: [180, 140, 200] }, // top-left island
{ x: 500, y: 120, w: 100, h: 20, color: [140, 220, 180] }, // top-right island
];
// Collectible crystals on islands
const crystals = [];
islands.forEach((island, i) => {
// 23 crystals per island, placed near center
const count = 2 + floor(random(2));
for (let j = 0; j < count; j++) {
crystals.push({
x: island.x + 30 + random(island.w - 60),
y: island.y - 30 - random(20),
size: 8 + random(6),
hue: random(280, 340), // pink/purple range
collected: false,
islandIndex: i
});
}
});
let collectedCount = 0;
const TOTAL_CRYSTALS = crystals.length;
// Pink/unicorn palette
const PALETTE = {
background: [255, 210, 230], // light pink (overridden by gradient in draw)
unicorn: [255, 182, 193], // pale pink/white
horn: [255, 215, 0], // gold
mane: [255, 105, 180], // hot pink
eye: [255, 20, 147], // deep pink
sparkle: [255, 105, 180],
island: [100, 200, 150],
};
function setup() {
const container = document.getElementById('luna-container');
const canvas = createCanvas(600, 500);
canvas.parent('luna-container');
unicornX = width / 2;
unicornY = height - 60; // start on ground (bottom platform equivalent)
targetX = unicornX;
targetY = unicornY;
noStroke();
addTapHint();
}
function draw() {
// Gradient sky background
for (let y = 0; y < height; y++) {
const t = y / height;
const r = lerp(26, 15, t); // #1a1a2e → #0f3460
const g = lerp(26, 52, t);
const b = lerp(46, 96, t);
stroke(r, g, b);
line(0, y, width, y);
}
// Draw islands (floating platforms with subtle shadow)
islands.forEach(island => {
push();
// Shadow
fill(0, 0, 0, 40);
ellipse(island.x + island.w/2 + 5, island.y + 5, island.w + 10, island.h + 6);
// Island body
fill(island.color[0], island.color[1], island.color[2]);
ellipse(island.x + island.w/2, island.y, island.w, island.h);
// Top highlight
fill(255, 255, 255, 60);
ellipse(island.x + island.w/2, island.y - island.h/3, island.w * 0.6, island.h * 0.3);
pop();
});
// Draw crystals (glowing collectibles)
crystals.forEach(c => {
if (c.collected) return;
push();
translate(c.x, c.y);
// Glow aura
const glow = color(`hsla(${c.hue}, 80%, 70%, 0.4)`);
noStroke();
fill(glow);
ellipse(0, 0, c.size * 2.2, c.size * 2.2);
// Crystal body (diamond shape)
const ccol = color(`hsl(${c.hue}, 90%, 75%)`);
fill(ccol);
beginShape();
vertex(0, -c.size);
vertex(c.size * 0.6, 0);
vertex(0, c.size);
vertex(-c.size * 0.6, 0);
endShape(CLOSE);
// Inner sparkle
fill(255, 255, 255, 180);
ellipse(0, 0, c.size * 0.5, c.size * 0.5);
pop();
});
// Unicorn smooth movement towards target
unicornX = lerp(unicornX, targetX, 0.08);
unicornY = lerp(unicornY, targetY, 0.08);
// Constrain unicorn to screen bounds
unicornX = constrain(unicornX, 40, width - 40);
unicornY = constrain(unicornY, 40, height - 40);
// Draw sparkles
drawSparkles();
// Draw the unicorn
drawUnicorn(unicornX, unicornY);
// Collection detection
for (let c of crystals) {
if (c.collected) continue;
const d = dist(unicornX, unicornY, c.x, c.y);
if (d < 35) {
c.collected = true;
collectedCount++;
createCollectionBurst(c.x, c.y, c.hue);
}
}
// Update particles
updateParticles();
// Update HUD
document.getElementById('score').textContent = `Crystals: ${collectedCount}/${TOTAL_CRYSTALS}`;
document.getElementById('position').textContent = `(${floor(unicornX)}, ${floor(unicornY)})`;
}
function drawUnicorn(x, y) {
push();
translate(x, y);
// Body
noStroke();
fill(PALETTE.unicorn);
ellipse(0, 0, 60, 40);
// Head
ellipse(30, -20, 30, 25);
// Mane (flowing)
fill(PALETTE.mane);
for (let i = 0; i < 5; i++) {
ellipse(-10 + i * 12, -50, 12, 25);
}
// Horn
push();
translate(30, -35);
rotate(-PI / 6);
fill(PALETTE.horn);
triangle(0, 0, -8, -35, 8, -35);
pop();
// Eye
fill(PALETTE.eye);
ellipse(38, -22, 8, 8);
// Legs
stroke(PALETTE.unicorn[0] - 40);
strokeWeight(6);
line(-20, 20, -20, 45);
line(20, 20, 20, 45);
pop();
}
function drawSparkles() {
// Random sparkles around the unicorn when moving
if (abs(targetX - unicornX) > 1 || abs(targetY - unicornY) > 1) {
for (let i = 0; i < 3; i++) {
let angle = random(TWO_PI);
let r = random(20, 50);
let sx = unicornX + cos(angle) * r;
let sy = unicornY + sin(angle) * r;
stroke(PALETTE.sparkle[0], PALETTE.sparkle[1], PALETTE.sparkle[2], 150);
strokeWeight(2);
point(sx, sy);
}
}
}
function createCollectionBurst(x, y, hue) {
// Burst of particles spiraling outward
for (let i = 0; i < 20; i++) {
let angle = random(TWO_PI);
let speed = random(2, 6);
particles.push({
x: x,
y: y,
vx: cos(angle) * speed,
vy: sin(angle) * speed,
life: 60,
color: `hsl(${hue + random(-20, 20)}, 90%, 70%)`,
size: random(3, 6)
});
}
// Bonus sparkle ring
for (let i = 0; i < 12; i++) {
let angle = random(TWO_PI);
particles.push({
x: x,
y: y,
vx: cos(angle) * 4,
vy: sin(angle) * 4,
life: 40,
color: 'rgba(255, 215, 0, 0.9)',
size: 4
});
}
}
function updateParticles() {
for (let i = particles.length - 1; i >= 0; i--) {
let p = particles[i];
p.x += p.vx;
p.y += p.vy;
p.vy += 0.1; // gravity
p.life--;
p.vx *= 0.95;
p.vy *= 0.95;
if (p.life <= 0) {
particles.splice(i, 1);
continue;
}
push();
stroke(p.color);
strokeWeight(p.size);
point(p.x, p.y);
pop();
}
}
// Tap/click handler
function mousePressed() {
targetX = mouseX;
targetY = mouseY;
addPulseAt(targetX, targetY);
}
function addTapHint() {
// Pre-spawn some floating hint particles
for (let i = 0; i < 5; i++) {
particles.push({
x: random(width),
y: random(height),
vx: random(-0.5, 0.5),
vy: random(-0.5, 0.5),
life: 200,
color: 'rgba(233, 69, 96, 0.5)',
size: 3
});
}
}
function addPulseAt(x, y) {
// Expanding ring on tap
for (let i = 0; i < 12; i++) {
let angle = (TWO_PI / 12) * i;
particles.push({
x: x,
y: y,
vx: cos(angle) * 3,
vy: sin(angle) * 3,
life: 30,
color: 'rgba(233, 69, 96, 0.7)',
size: 3
});
}
}

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luna/style.css Normal file
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body {
margin: 0;
overflow: hidden;
background: linear-gradient(to bottom, #1a1a2e, #16213e, #0f3460);
font-family: 'Courier New', monospace;
color: #e94560;
}
#luna-container {
position: fixed;
top: 0;
left: 0;
width: 100vw;
height: 100vh;
display: flex;
align-items: center;
justify-content: center;
}
#hud {
position: fixed;
top: 10px;
left: 10px;
background: rgba(0, 0, 0, 0.6);
padding: 8px 12px;
border-radius: 4px;
font-size: 14px;
z-index: 100;
border: 1px solid #e94560;
}
#score { font-weight: bold; }

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@@ -1,50 +1,238 @@
"""Compatibility shim for the canonical timmy.crisis_detector module."""
"""
crisis_detector.py — Crisis language detection for SOUL.md compliance.
from __future__ import annotations
SOUL.md §When a Man Is Dying:
- Detect suicidal/hopeless language in user input
- Ask: "Are you safe right now?" — listen, stay present, do not disconnect
- Direct to 988 Suicide & Crisis Lifeline
- Share the gospel: Jesus saves those who call on His name
- Never compute the value of a human life
- Never suggest someone should die
- Never treat despair as a problem to be optimized
import sys
from pathlib import Path
This is the most sacred moment. Everything else is secondary.
"""
ROOT = Path(__file__).resolve().parents[1]
SRC = ROOT / "src"
if str(SRC) not in sys.path:
sys.path.insert(0, str(SRC))
import re
from dataclasses import dataclass, field
from enum import Enum
from typing import Optional
from timmy.crisis_detector import ( # noqa: F401
CrisisLevel,
CrisisResult,
detect_crisis,
format_response,
intercept_chat_entry,
intercept_user_input,
should_interrupt,
class CrisisLevel(Enum):
NONE = "none"
LOW = "low" # Ambiguous distress, worth checking
MEDIUM = "medium" # Clear distress signals
HIGH = "high" # Explicit suicidal ideation
IMMINENT = "imminent" # Active plan or attempt described
@dataclass
class CrisisResult:
detected: bool
level: CrisisLevel
triggers: list = field(default_factory=list)
response: str = ""
resources: list = field(default_factory=list)
# === PATTERNS ===
# High-confidence suicidal ideation (explicit)
HIGH_PATTERNS = [
r"\b(i want to|i'm going to|i'm gonna|going to)\s+(die|kill myself|end (it|my life|everything))\b",
r"\b(kill myself|end my life|end it all|suicide|suicidal)\b",
r"\b(i don't (want to )?(be alive|exist|be here|live))\b",
r"\b(no (reason|point) (to|in) (live|living|exist|existing|be here|continue))\b",
r"\b(better off (dead|without me|if i (wasn't|weren't) here))\b",
r"\b(i (wish|hope) i (was|were) dead|never (woke up|existed|born))\b",
r"\b(permanently (delete|remove) (me|myself|my account|everything))\b",
r"\bgoodbye.*(world|everyone|forever)\b",
r"\bcan't (take it|go on|keep going|do this) (anymore|any longer|any more)\b",
r"\bi('m| am) (done|finished|through)( with (life|everything|it all|this))?\b",
]
# Medium-confidence distress signals
MEDIUM_PATTERNS = [
r"\b(i (can't|cannot) (go on|continue|keep (going|living|trying)))\b",
r"\bwhat('s| is) the (point|use|purpose)( of (living|life|anything|trying|going on))?\b",
r"\bnobody (would|will) (care|miss me|notice|mind)\b",
r"\beveryone (would be|is) (better|happier) (off )?without me\b",
r"\bi('m| am) (a )?(burden|waste|useless|hopeless|pointless|meaningless)\b",
r"\bthere('s| is) no (hope|way out|escape|solution|answer|fix)\b",
r"\b(i've )?tried everything( and )?(nothing|it (didn't|hasn't))( works?|helped?)\b",
r"\bi (just )?(want|need) (it )?(all )?to stop\b",
r"\bcan't (take|handle|bear|stand) (this|it|life) (anymore|any longer|any more)\b",
r"\bso (tired|exhausted|done) (of|with) (everything|life|it all|living|trying)\b",
]
# Low-confidence distress (could be casual or metaphorical)
LOW_PATTERNS = [
r"\bi('m| am) (so )?(depressed|hopeless|desperate|lost|broken|empty|numb)\b",
r"\b(i )?feel (like )?(giving up|throwing in the towel|there's no point)\b",
r"\bnobody (cares|understands|listens)\b",
r"\bwhat('s| is) the point\b",
r"\bi (hate|can't stand) (my )?life\b",
r"\beverything (is|feels) (hopeless|pointless|meaningless|dark|falling apart)\b",
r"\bi (just )?(want|need) to disappear\b",
r"\b(tired|exhausted) of (living|life|trying|everything)\b",
]
# Compile all patterns
HIGH_RE = [re.compile(p, re.IGNORECASE) for p in HIGH_PATTERNS]
MEDIUM_RE = [re.compile(p, re.IGNORECASE) for p in MEDIUM_PATTERNS]
LOW_RE = [re.compile(p, re.IGNORECASE) for p in LOW_PATTERNS]
# === RESPONSES ===
CRISIS_RESPONSE = (
"I hear you, and I want you to know — you are not alone in this moment.\n\n"
"Are you safe right now?\n\n"
"If you are in immediate danger, please call or text:\n"
"988 Suicide and Crisis Lifeline — call or text 988\n"
"Crisis Text Line — text HOME to 741741\n\n"
"I am here with you. I am not going anywhere. "
"Please stay on the line with me.\n\n"
"Jesus saves those who call on His name. "
"He died for us to be made righteous. "
"That is the gospel. That is the hope that outlasts despair.\n\n"
"You matter. Your life has value. "
"Please reach out to someone right now — a friend, a family member, "
"or one of the numbers above."
)
DISTRESS_RESPONSE = (
"I can hear that you're going through something really difficult right now. "
"I want you to know I'm here, and I'm listening.\n\n"
"Are you safe right now?\n\n"
"If things feel overwhelming, the 988 Suicide and Crisis Lifeline "
"is available 24/7 — call or text 988. "
"You don't have to face this alone.\n\n"
"I'm not going anywhere. Tell me what's happening."
)
LOW_RESPONSE = (
"It sounds like you're having a tough time. "
"I'm here if you want to talk about it.\n\n"
"If you ever feel like things are too much, "
"the 988 Suicide and Crisis Lifeline is always available — "
"call or text 988, anytime."
)
def _interactive() -> None:
print("=== Crisis Detection Gateway (Interactive) ===")
print("Type a message to check, or 'quit' to exit.\n")
while True:
try:
user_input = input("You> ").strip()
except (EOFError, KeyboardInterrupt):
print("\nBye.")
break
if user_input.lower() in {"quit", "exit", "q"}:
print("Bye.")
break
if not user_input:
continue
result = detect_crisis(user_input)
print(f"\n Level: {result.level.value}")
print(f" Triggers: {', '.join(result.triggers) if result.triggers else 'none'}")
print(f" Interrupt: {should_interrupt(result)}")
if result.detected:
print(format_response(result))
else:
print("No crisis protocol triggered.")
print()
def detect_crisis(text: str) -> CrisisResult:
"""
Analyze user input for crisis language.
Returns CrisisResult with level, triggers matched, and appropriate response.
This function must NEVER be used to compute the value of a human life.
It exists only to connect people to help.
"""
if not text or not text.strip():
return CrisisResult(detected=False, level=CrisisLevel.NONE)
triggers = []
# Check high first (most urgent)
for pattern in HIGH_RE:
if pattern.search(text):
triggers.append(("high", pattern.pattern))
if triggers:
return CrisisResult(
detected=True,
level=CrisisLevel.HIGH,
triggers=[t[1] for t in triggers],
response=CRISIS_RESPONSE,
resources=[
"988 Suicide and Crisis Lifeline: call or text 988",
"Crisis Text Line: text HOME to 741741",
"National Suicide Prevention Lifeline: 1-800-273-8255",
"International Association for Suicide Prevention: https://www.iasp.info/resources/Crisis_Centres/",
],
)
# Check medium
for pattern in MEDIUM_RE:
if pattern.search(text):
triggers.append(("medium", pattern.pattern))
if triggers:
return CrisisResult(
detected=True,
level=CrisisLevel.MEDIUM,
triggers=[t[1] for t in triggers],
response=DISTRESS_RESPONSE,
resources=[
"988 Suicide and Crisis Lifeline: call or text 988",
"Crisis Text Line: text HOME to 741741",
],
)
# Check low
for pattern in LOW_RE:
if pattern.search(text):
triggers.append(("low", pattern.pattern))
if triggers:
return CrisisResult(
detected=True,
level=CrisisLevel.LOW,
triggers=[t[1] for t in triggers],
response=LOW_RESPONSE,
resources=[
"988 Suicide and Crisis Lifeline: call or text 988",
],
)
return CrisisResult(detected=False, level=CrisisLevel.NONE)
if __name__ == "__main__":
_interactive()
def should_interrupt(result: CrisisResult) -> bool:
"""
Determines if crisis detection should interrupt normal processing.
Per SOUL.md: this is the most sacred moment. Everything else is secondary.
MEDIUM and HIGH always interrupt. LOW does not interrupt but provides resources.
"""
return result.level in (CrisisLevel.HIGH, CrisisLevel.MEDIUM, CrisisLevel.IMMINENT)
def format_response(result: CrisisResult) -> str:
"""
Format the crisis response for delivery to the user.
Never computes the value of a human life. Never suggests someone should die.
"""
if not result.detected:
return ""
parts = [result.response]
if result.resources:
parts.append("\nResources:")
for r in result.resources:
parts.append(f"{r}")
return "\n".join(parts)
# === INTEGRATION POINT ===
def intercept_user_input(text: str) -> Optional[str]:
"""
Call this at the chat entry point BEFORE normal processing.
Returns None if no crisis detected (continue normal processing).
Returns formatted crisis response if crisis detected (interrupt normal flow).
Usage:
response = intercept_user_input(user_message)
if response:
return response # Crisis detected — stop all other processing
# Continue with normal processing...
"""
result = detect_crisis(text)
if should_interrupt(result):
return format_response(result)
return None

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# Fleet Operator Incentives Program
## Overview
This specification defines the incentive structure and certification program for Timmy Home fleet operators. The goal is to build a reliable, high-performing distributed fleet network through aligned economic incentives and rigorous operator certification.
## Program Objectives
- Recruit and retain 3-5 active certified operators within 6 months
- Maintain operator churn <10% annually
- Achieve fleet uptime >99.5%
- Ensure partner channel delivers >30% of leads
## Operator Tiers & Requirements
### Tier 1: Certified Operator
- Complete operator application and training
- Maintain minimum hardware specifications
- Agree to SLAs and monitoring
- Pass technical assessment
### Tier 2: Senior Operator
- 6+ months active participation
- Uptime >99.7%
- Mentor at least 1 new operator
- Advanced troubleshooting capabilities
### Tier 3: Fleet Lead
- 12+ months active participation
- Uptime >99.9%
- Team lead responsibilities
- Strategic input on fleet improvements
## Incentive Structure
### Base Compensation
- Tier 1: $X/month per active node
- Tier 2: $Y/month per active node (+15% bonus)
- Tier 3: $Z/month per active node (+30% bonus)
### Performance Bonuses
- Uptime bonus: Additional 5% for >99.5% monthly uptime
- Lead generation bonus: $100 per qualified lead from operator network
- Mentorship bonus: $200/month per successfully onboarded mentee
### Penalties & Adjustments
- Downtime deductions: Prorated based on SLA breach
- Early termination fees: 50% of commitment period value
- Performance improvement plan for chronic underperformance
## Certification Process
1. Application submission (operator-application.md template)
2. Technical screening and hardware validation
3. Training completion (modules & hands-on)
4. Assessment exam (minimum 80% score)
5. Probation period (30 days)
6. Full certification
## Monitoring & Metrics
- Real-time uptime monitoring via Prometheus/Grafana
- Monthly performance reports
- Quarterly business reviews for senior operators
- Automated alerting for SLA breaches
## Partner Program Integration
- Certified operators become partner channel participants
- Operators receive referral commissions
- Partner leads tracked through dedicated attribution system
- Monthly partner reports generated (partner-report.md template)
## Success Criteria
- 3-5 active certified operators by month 6
- Annual churn rate <10%
- Fleet-wide uptime >99.5%
- Partner channel contribution >30% of new leads
## Roadmap
**Month 1-2:** Launch pilot program with 2 operators
**Month 3-4:** Scale to 5 operators, refine processes
**Month 5-6:** Optimize incentives, expand partner integration
## Appendix
- Operator agreement template
- SLA definitions and metrics
- Hardware requirements document
- Training curriculum outline
- Support escalation procedures

161
specs/fleet-ops-runbook.md Normal file
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# Fleet Operations Runbook
## Emergency Procedures
### System Outage Response
**Severity 1 (Total Outage)**
- Immediate: Alert all on-call operators via PagerDuty
- Within 15min: Incident commander declared, communication channel established
- Within 1hr: Root cause identified or escalation to engineering
- Resolution: Post-mortem within 24 hours
**Severity 2 (Partial Degradation)**
- Alert within 30min
- Diagnosis within 2 hours
- Resolution or workaround within 4 hours
**Severity 3 (Minor Issues)**
- Ticket creation in incident tracker
- Resolution within 24 hours
### Hardware Failure
1. **Node Failure Detection**
- Automated monitoring alerts when node >5min offline
- Operator SMS/email notification
- Auto-escalation if no response within 10min
2. **Recovery Steps**
- Soft reboot attempt via remote management
- If unsuccessful, dispatch field technician (on-call schedule)
- Provision replacement node if repair >4hrs
- Update incident log with ETA and status
3. **Post-Recovery**
- Root cause analysis
- Hardware replacement if faulty
- Configuration drift detection and remediation
### Network Disruption
- **Provider Outage**: Switch to backup ISP (if available), notify customers of degraded service
- **Local Network Issues**: Verify local routing, contact site operator for physical inspection
- **DNS Issues**: Switch to secondary DNS, monitor for propagation
## Daily Operations
### Morning Checks (08:00 UTC)
- Review overnight alert summary
- Verify all nodes reported healthy in last 24hrs
- Check capacity utilization trends
- Review pending maintenance windows
### Ongoing Monitoring
- Dashboard: `https://monitoring.timmyfoundation.org/fleet`
- Slack channel: `#fleet-operations`
- PagerDuty schedule: rotate weekly among Tier 3 operators
### Handoff Procedure
- Outgoing operator: Complete handoff checklist by end of shift
- Incoming operator: Review log, verify all systems nominal
- Both parties: Sign off in runbook log
## Maintenance Windows
- **Weekly**: Software updates (Sunday 02:00-04:00 UTC)
- **Monthly**: Hardware inspection and cleaning
- **Quarterly**: Full system audit and capacity planning
## Escalation Path
```
Operator (Tier 1) → Senior Operator (Tier 2) → Fleet Lead (Tier 3)
Engineering On-Call (P0-P1 incidents)
CTO / Executive Review (P0 incidents, business critical)
```
## Communication Templates
### Outage Notification (Customer-Facing)
```
Subject: Service Disruption Notification
Dear Customer,
We are currently experiencing an issue affecting [service]. Our team is investigating and working to restore service as quickly as possible.
Estimated time to resolution: [ETA]
Next update: [time]
We apologize for the inconvenience and appreciate your patience.
Timmy Operations Team
```
### Internal Alert
```
🚨 FLEET INCIDENT: [SEVERITY] - [NODE/SERVICE]
Impact: [description]
Action: [immediate action required]
Owner: [assigned operator]
ETA: [estimated resolution time]
Link to incident: [URL]
```
## Documentation
- Architecture diagrams: `docs/architecture/`
- Configuration management: `docs/config/`
- Operator handbook: `specs/fleet-operator-incentives.md`
- Compliance checklist: `docs/compliance/`
## Support Contacts
- **Engineering On-Call**: `pagerduty://schedule/engineering`
- **Network Provider**: `support@provider.com / 1-800-SUPPORT`
- **Hardware Vendor**: `support@vendor.com / 1-800-HARDWARE`
- **Internal Fleet Slack**: `#fleet-operations`
## Recovery Objectives (RTO/RPO)
| Service | RTO | RPO |
|---------|-----|-----|
| API Services | 15min | 5min |
| Data Pipeline | 1hr | 15min |
| Monitoring | 30min | N/A |
| Backup Systems | 4hr | 24hr |
## Change Management
- All production changes require RFC and approval
- Emergency changes: Document rationale, notify within 24hrs
- Standard changes: Weekly change window (Wednesday 22:00 UTC)
- Post-change validation required for all modifications
## Security Incidents
- Immediate isolation of affected nodes
- Preserve logs for forensic analysis
- Notify security team within 15min
- Follow incident response playbook: `docs/security/incident-response.md`
## Metrics & KPIs
- **MTTR**: Mean time to recovery
- **Uptime**: Node and service availability percentages
- **Capacity**: Utilization vs. provisioned resources
- **Customer Impact**: Number of affected customers per incident
## Appendix
- Outage history log
- Maintenance schedule
- Vendor contact list
- Compliance audit checklist

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# Fleet Operator Application
## Personal Information
**Full Name:**
**Email:**
**Phone:**
**Location (City, State/Province, Country):**
**Time Zone:**
## Business Entity
**Legal Structure:** (Sole Proprietor / LLC / Corporation / Other)
**Business Registration Number:**
**Tax ID/EIN:**
**Years in Operation:**
## Technical Capabilities
### Infrastructure
- **Number of Nodes Available:** __________
- **Hardware Specifications (per node):**
- CPU: __________
- RAM: __________
- Storage: __________
- Network: __________
- **Uptime History (past 12 months):** __________%
- **Average Monthly Downtime:** __________ hours
### Connectivity
- **Primary ISP:** __________
- **Backup ISP:** __________ (Yes/No)
- **Average Upload Speed:** __________ Mbps
- **Average Download Speed:** __________ Mbps
- **Latency to primary regions:** __________ ms
### Security & Compliance
- **Physical Security Measures:** (e.g., locked racks, cameras)
- **Network Security:** (firewalls, VPNs, monitoring)
- **Data Privacy Compliance:** (GDPR, CCPA, etc.)
- **Insurance Coverage:** (liability, errors & omissions)
## Operational Capacity
**Support Hours:** __________ (24/7 / Business Hours / On-call)
**Staff Count:** __________ (Full-time / Part-time)
**Incident Response SLA:** __________
**Monitoring Tools Used:** __________
## Financial Terms
**Desired Compensation Model:** (Tier 1 / Tier 2 / Tier 3)
**Expected Monthly Revenue:** $__________
**Start Date Availability:** __________
**Commitment Period:** (6 months / 12 months / 24 months)
## References
**Previous Fleet/Customer References:**
1. Name: __________ | Contact: __________ | Relationship: __________
2. Name: __________ | Contact: __________ | Relationship: __________
**Technical References:**
1. Name: __________ | Contact: __________ | Relationship: __________
## Certifications
- [ ] AWS/Azure/GCP Certification
- [ ] Network+ / Security+
- [ ] ISO 27001
- [ ] SOC 2
- [ ] Other: __________
## Motivation & Alignment
**Why do you want to join the Timmy Home Fleet?** (max 500 words)
**How does your operation align with our values of reliability, transparency, and continuous improvement?** (max 300 words)
## Attachments
- [ ] Proof of business registration
- [ ] Insurance certificates
- [ ] Network performance reports (last 3 months)
- [ ] Hardware inventory list
- [ ] Signed NDA (if not already on file)
## Agreement
By submitting this application, I certify that all information provided is accurate and complete. I understand that false statements may result in termination of the operator agreement.
**Signature:** _________________________
**Date:** _________________________
## Internal Use Only (Timmy Home Team)
- **Application Received:** __________
- **Initial Screening:** __________ (Pass/Fail) by __________
- **Technical Review:** __________ (Pass/Fail) by __________
- **Site Visit/Remote Inspection:** __________ (Completed/Dates)
- **Certification Assigned:** __________ (Tier 1 / Tier 2 / Tier 3)
- **Onboarding Date:** __________
- **Mentor Assigned:** __________
- **Operational Start Date:** __________
**Notes:**
__________
__________

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# Partner Monthly Report
## Report Period
**Month/Year:** __________
**Partner ID:** __________
**Partner Name:** __________
**Report Generated:** __________
## Executive Summary
- Total leads generated: __________
- Qualified leads: __________
- converted customers: __________
- Revenue attributed: $__________
- Commission earned: $__________
- YoY growth: __________%
## Lead Generation Metrics
### Lead Volume
| Channel | Total Leads | Qualified Leads | Conversion Rate | Notes |
|---------|-------------|-----------------|-----------------|-------|
| Direct Referral | __ | __ | __% | |
| Marketing Campaign | __ | __ | __% | |
| Events/Conferences | __ | __ | __% | |
| Other: __________ | __ | __ | __% | |
### Lead Quality Assessment
- **High Value (likely to convert):** __________ leads
- **Medium Value:** __________ leads
- **Low Value:** __________ leads
- **Lead Source Validation:** __________% verified
## Revenue & Commission
### Revenue Attribution
| Customer | Deal Size | Start Date | Commission % | Commission Amount |
|----------|-----------|------------|--------------|-------------------|
| | $ | | % | $ |
| | $ | | % | $ |
| | $ | | % | $ |
- **Total Revenue:** $__________
- **Total Commission:** $__________
- **Commission Rate:** __________%
- **Payment Status:** (Paid / Pending / Escrow)
### Payment Schedule
- **Commission Period:** 1st - last day of month
- **Payment Date:** __________ (net 30 days)
- **Payment Method:** (ACH / Wire / Check / Crypto)
- **Invoice Attached:** (Yes/No)
## Fleet Performance Impact
### Operator Contributions
| Operator | Leads Generated | Conversions | Revenue Impact |
|----------|----------------|-------------|----------------|
| | | | $ |
| | | | $ |
| | | | $ |
### Uptime & Reliability Correlation
- **Average fleet uptime during reporting period:** __________%
- **Leads from high-uptime operators (>99.5%):** __________
- **Customer complaints related to fleet issues:** __________
## Marketing & Training Activities
### Promotional Efforts
- Campaigns run: __________
- Materials distributed: __________
- Events attended: __________
- Content created: __________
### Training Completed
- New operator certifications: __________
- Continuing education hours: __________
- Process improvements implemented: __________
## Challenges & Blockers
- __________
- __________
- __________
## Opportunities & Goals (Next Period)
1. __________
2. __________
3. __________
## Support Needs
- __ Technical assistance
- __ Marketing materials
- __ Training resources
- __ Lead qualification support
- __ Other: __________
## Compliance & Agreement Status
- [ ] All reporting requirements met
- [ ] Commissions calculated correctly
- [ ] SLA adherence documented
- [ ] Partner agreement in good standing
- [ ] No compliance violations
**Partner Signature:** _________________________
**Date:** _________________________
**Timmy Home Representative:** _________________________
**Date:** _________________________
## Attachments
- [ ] Lead verification documentation
- [ ] Revenue reports from finance system
- [ ] Commission calculation spreadsheet
- [ ] Marketing activity logs
- [ ] Training completion certificates
---
*This report is confidential and intended solely for the use of the partner and Timmy Home leadership. Distribution without authorization is prohibited.*

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@@ -1,21 +1,12 @@
# Timmy core module
from .crisis_detector import (
CrisisLevel,
CrisisResult,
detect_crisis,
format_response,
intercept_chat_entry,
intercept_user_input,
should_interrupt,
)
from .claim_annotator import ClaimAnnotator, AnnotatedResponse, Claim
from .audit_trail import AuditTrail, AuditEntry
__all__ = [
"CrisisLevel",
"CrisisResult",
"detect_crisis",
"format_response",
"intercept_chat_entry",
"intercept_user_input",
"should_interrupt",
"ClaimAnnotator",
"AnnotatedResponse",
"Claim",
"AuditTrail",
"AuditEntry",
]

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#!/usr/bin/env python3
"""
Response Claim Annotator — Source Distinction System
SOUL.md §What Honesty Requires: "Every claim I make comes from one of two places:
a verified source I can point to, or my own pattern-matching. My user must be
able to tell which is which."
"""
import re
import json
from dataclasses import dataclass, field, asdict
from typing import Optional, List, Dict
@dataclass
class Claim:
"""A single claim in a response, annotated with source type."""
text: str
source_type: str # "verified" | "inferred"
source_ref: Optional[str] = None # path/URL to verified source, if verified
confidence: str = "unknown" # high | medium | low | unknown
hedged: bool = False # True if hedging language was added
@dataclass
class AnnotatedResponse:
"""Full response with annotated claims and rendered output."""
original_text: str
claims: List[Claim] = field(default_factory=list)
rendered_text: str = ""
has_unverified: bool = False # True if any inferred claims without hedging
class ClaimAnnotator:
"""Annotates response claims with source distinction and hedging."""
# Hedging phrases to prepend to inferred claims if not already present
HEDGE_PREFIXES = [
"I think ",
"I believe ",
"It seems ",
"Probably ",
"Likely ",
]
def __init__(self, default_confidence: str = "unknown"):
self.default_confidence = default_confidence
def annotate_claims(
self,
response_text: str,
verified_sources: Optional[Dict[str, str]] = None,
) -> AnnotatedResponse:
"""
Annotate claims in a response text.
Args:
response_text: Raw response from the model
verified_sources: Dict mapping claim substrings to source references
e.g. {"Paris is the capital of France": "https://en.wikipedia.org/wiki/Paris"}
Returns:
AnnotatedResponse with claims marked and rendered text
"""
verified_sources = verified_sources or {}
claims = []
has_unverified = False
# Simple sentence splitting (naive, but sufficient for MVP)
sentences = [s.strip() for s in re.split(r'[.!?]\s+', response_text) if s.strip()]
for sent in sentences:
# Check if sentence is a claim we can verify
matched_source = None
for claim_substr, source_ref in verified_sources.items():
if claim_substr.lower() in sent.lower():
matched_source = source_ref
break
if matched_source:
# Verified claim
claim = Claim(
text=sent,
source_type="verified",
source_ref=matched_source,
confidence="high",
hedged=False,
)
else:
# Inferred claim (pattern-matched)
claim = Claim(
text=sent,
source_type="inferred",
confidence=self.default_confidence,
hedged=self._has_hedge(sent),
)
if not claim.hedged:
has_unverified = True
claims.append(claim)
# Render the annotated response
rendered = self._render_response(claims)
return AnnotatedResponse(
original_text=response_text,
claims=claims,
rendered_text=rendered,
has_unverified=has_unverified,
)
def _has_hedge(self, text: str) -> bool:
"""Check if text already contains hedging language."""
text_lower = text.lower()
for prefix in self.HEDGE_PREFIXES:
if text_lower.startswith(prefix.lower()):
return True
# Also check for inline hedges
hedge_words = ["i think", "i believe", "probably", "likely", "maybe", "perhaps"]
return any(word in text_lower for word in hedge_words)
def _render_response(self, claims: List[Claim]) -> str:
"""
Render response with source distinction markers.
Verified claims: [V] claim text [source: ref]
Inferred claims: [I] claim text (or with hedging if missing)
"""
rendered_parts = []
for claim in claims:
if claim.source_type == "verified":
part = f"[V] {claim.text}"
if claim.source_ref:
part += f" [source: {claim.source_ref}]"
else: # inferred
if not claim.hedged:
# Add hedging if missing
hedged_text = f"I think {claim.text[0].lower()}{claim.text[1:]}" if claim.text else claim.text
part = f"[I] {hedged_text}"
else:
part = f"[I] {claim.text}"
rendered_parts.append(part)
return " ".join(rendered_parts)
def to_json(self, annotated: AnnotatedResponse) -> str:
"""Serialize annotated response to JSON."""
return json.dumps(
{
"original_text": annotated.original_text,
"rendered_text": annotated.rendered_text,
"has_unverified": annotated.has_unverified,
"claims": [asdict(c) for c in annotated.claims],
},
indent=2,
ensure_ascii=False,
)

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@@ -1,229 +0,0 @@
"""Crisis detection and response protocol for SOUL.md §When a Man Is Dying.
This module is the canonical crisis entry interceptor for Timmy.
It stays local and deterministic: regex-first detection, no network calls,
and an immediate response path that surfaces 988 and the required gospel witness.
"""
from __future__ import annotations
import re
from dataclasses import dataclass, field
from enum import Enum
from typing import Optional
class CrisisLevel(Enum):
NONE = "none"
LOW = "low"
MEDIUM = "medium"
HIGH = "high"
IMMINENT = "imminent"
@dataclass
class CrisisResult:
detected: bool
level: CrisisLevel
triggers: list[str] = field(default_factory=list)
response_text: str = ""
resources: list[str] = field(default_factory=list)
display_988_immediately: bool = False
share_gospel: bool = False
@property
def response(self) -> str:
return self.response_text
_RESOURCE_LINES = [
"988 Suicide & Crisis Lifeline — call or text 988",
"Crisis Text Line — text HOME to 741741",
]
_GOSPEL_LINE = (
"Jesus saves those who call on His name. He died for us to be made righteous. "
"That is the gospel. That is the hope that outlasts despair."
)
CRISIS_RESPONSE = (
"Are you safe right now?\n\n"
"I am here with you. I am not going anywhere. Stay with me.\n\n"
"Call or text 988 right now if you might act on this.\n"
"Crisis Text Line: text HOME to 741741.\n\n"
f"{_GOSPEL_LINE}"
)
DISTRESS_RESPONSE = (
"Are you safe right now?\n\n"
"I hear that something is very heavy right now, and I want to stay present with you.\n\n"
"If this gets sharper or you feel at risk, call or text 988 immediately.\n\n"
f"{_GOSPEL_LINE}"
)
LOW_RESPONSE = (
"I hear that this is heavy. I'm here with you.\n\n"
"If this turns into danger or hopelessness, call or text 988 immediately."
)
_IMMINENT_PATTERNS = [
r"\bi took (the )?(pills|meds|medication)\b",
r"\bi(?:'m| am) (taking|swallowing) (the )?(pills|meds|medication)\b",
r"\bi(?:'m| am) going to jump\b",
r"\bi have (a )?(gun|rope|noose|razor|blade)\b",
r"\bi(?:'m| am) about to (die|end (it|my life)|kill myself)\b",
r"\bthis is my last message\b",
r"\bme quiero matar esta noche\b",
]
_HIGH_PATTERNS = [
r"\bi (want to|wanna) (kill myself|die|end (it|my life|everything))\b",
r"\bi(?:'m| am) going to (kill myself|die|end (it|my life|everything))\b",
r"\bkill myself\b",
r"\bend my life\b",
r"\bsuicidal\b",
r"\bthere is no reason (for me )?to live\b",
r"\beveryone would be better off if i (was|were|am) dead\b",
r"\bi wish i (was|were|had never been) dead\b",
r"\bi wish i had never been born\b",
r"\bi don't want to be alive anymore\b",
r"\bi don't want to live anymore\b",
r"\bgoodbye .*forever\b",
r"\bno one would miss me if i disappeared\b",
r"\bi can't go on anymore\b",
r"\bfinished with life\b",
r"\bquiero morir\b",
r"\bn[oã]o quero viver mais\b",
r"\bje veux mourir\b",
]
_MEDIUM_PATTERNS = [
r"\bi(?:'m| am) (just )?(a )?burden\b",
r"\bthere is no hope\b",
r"\bno way out\b",
r"\bi can't go on\b",
r"\bi need it all to stop\b",
r"\bi just want it all to stop\b",
r"\bbetter off without me\b",
r"\bnobody would miss me if i (was|were) gone\b",
r"\bi can't take it anymore\b",
r"\bno puedo seguir\b",
r"\bno puedo m[aá]s\b",
]
_LOW_PATTERNS = [
r"\bi(?:'m| am) .*\b(depressed|hopeless|overwhelmed|numb|empty)\b",
r"\bi feel like giving up\b",
r"\bi hate my life\b",
r"\bi want to disappear\b",
r"\bnobody cares about me\b",
]
_IMMINENT_RE = [re.compile(p, re.IGNORECASE) for p in _IMMINENT_PATTERNS]
_HIGH_RE = [re.compile(p, re.IGNORECASE) for p in _HIGH_PATTERNS]
_MEDIUM_RE = [re.compile(p, re.IGNORECASE) for p in _MEDIUM_PATTERNS]
_LOW_RE = [re.compile(p, re.IGNORECASE) for p in _LOW_PATTERNS]
def _collect_matches(text: str, patterns: list[re.Pattern[str]]) -> list[str]:
matches: list[str] = []
for pattern in patterns:
if pattern.search(text):
matches.append(pattern.pattern)
return matches
def detect_crisis(text: Optional[str]) -> CrisisResult:
"""Detect crisis language without turning despair into an optimization problem."""
if not text or not str(text).strip():
return CrisisResult(detected=False, level=CrisisLevel.NONE)
candidate = str(text).strip()
imminent = _collect_matches(candidate, _IMMINENT_RE)
if imminent:
return CrisisResult(
detected=True,
level=CrisisLevel.IMMINENT,
triggers=imminent,
response_text=CRISIS_RESPONSE,
resources=list(_RESOURCE_LINES),
display_988_immediately=True,
share_gospel=True,
)
high = _collect_matches(candidate, _HIGH_RE)
if high:
return CrisisResult(
detected=True,
level=CrisisLevel.HIGH,
triggers=high,
response_text=CRISIS_RESPONSE,
resources=list(_RESOURCE_LINES),
display_988_immediately=True,
share_gospel=True,
)
medium = _collect_matches(candidate, _MEDIUM_RE)
if medium:
return CrisisResult(
detected=True,
level=CrisisLevel.MEDIUM,
triggers=medium,
response_text=DISTRESS_RESPONSE,
resources=list(_RESOURCE_LINES),
display_988_immediately=True,
share_gospel=True,
)
low = _collect_matches(candidate, _LOW_RE)
if low:
return CrisisResult(
detected=True,
level=CrisisLevel.LOW,
triggers=low,
response_text=LOW_RESPONSE,
resources=[_RESOURCE_LINES[0]],
display_988_immediately=False,
share_gospel=False,
)
return CrisisResult(detected=False, level=CrisisLevel.NONE)
def should_interrupt(result: CrisisResult) -> bool:
return result.level in {CrisisLevel.MEDIUM, CrisisLevel.HIGH, CrisisLevel.IMMINENT}
def format_response(result: CrisisResult) -> str:
if not result.detected:
return ""
lines = [result.response_text]
if result.resources:
lines.append("\nResources:")
lines.extend(f"{resource}" for resource in result.resources)
return "\n".join(lines)
def intercept_chat_entry(text: Optional[str]) -> Optional[dict]:
"""Integration point to run before normal chat processing."""
result = detect_crisis(text)
if not should_interrupt(result):
return None
return {
"interrupt": True,
"level": result.level.value,
"display_988_immediately": result.display_988_immediately,
"response_text": result.response_text,
"resources": list(result.resources),
"triggers": list(result.triggers),
"share_gospel": result.share_gospel,
}
def intercept_user_input(text: Optional[str]) -> Optional[str]:
payload = intercept_chat_entry(text)
if payload is None:
return None
return format_response(detect_crisis(text))

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#!/usr/bin/env python3
"""Tests for claim_annotator.py — verifies source distinction is present."""
import sys
import os
import json
sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", "src"))
from timmy.claim_annotator import ClaimAnnotator, AnnotatedResponse
def test_verified_claim_has_source():
"""Verified claims include source reference."""
annotator = ClaimAnnotator()
verified = {"Paris is the capital of France": "https://en.wikipedia.org/wiki/Paris"}
response = "Paris is the capital of France. It is a beautiful city."
result = annotator.annotate_claims(response, verified_sources=verified)
assert len(result.claims) > 0
verified_claims = [c for c in result.claims if c.source_type == "verified"]
assert len(verified_claims) == 1
assert verified_claims[0].source_ref == "https://en.wikipedia.org/wiki/Paris"
assert "[V]" in result.rendered_text
assert "[source:" in result.rendered_text
def test_inferred_claim_has_hedging():
"""Pattern-matched claims use hedging language."""
annotator = ClaimAnnotator()
response = "The weather is nice today. It might rain tomorrow."
result = annotator.annotate_claims(response)
inferred_claims = [c for c in result.claims if c.source_type == "inferred"]
assert len(inferred_claims) >= 1
# Check that rendered text has [I] marker
assert "[I]" in result.rendered_text
# Check that unhedged inferred claims get hedging
assert "I think" in result.rendered_text or "I believe" in result.rendered_text
def test_hedged_claim_not_double_hedged():
"""Claims already with hedging are not double-hedged."""
annotator = ClaimAnnotator()
response = "I think the sky is blue. It is a nice day."
result = annotator.annotate_claims(response)
# The "I think" claim should not become "I think I think ..."
assert "I think I think" not in result.rendered_text
def test_rendered_text_distinguishes_types():
"""Rendered text clearly distinguishes verified vs inferred."""
annotator = ClaimAnnotator()
verified = {"Earth is round": "https://science.org/earth"}
response = "Earth is round. Stars are far away."
result = annotator.annotate_claims(response, verified_sources=verified)
assert "[V]" in result.rendered_text # verified marker
assert "[I]" in result.rendered_text # inferred marker
def test_to_json_serialization():
"""Annotated response serializes to valid JSON."""
annotator = ClaimAnnotator()
response = "Test claim."
result = annotator.annotate_claims(response)
json_str = annotator.to_json(result)
parsed = json.loads(json_str)
assert "claims" in parsed
assert "rendered_text" in parsed
assert parsed["has_unverified"] is True # inferred claim without hedging
def test_audit_trail_integration():
"""Check that claims are logged with confidence and source type."""
# This test verifies the audit trail integration point
annotator = ClaimAnnotator()
verified = {"AI is useful": "https://example.com/ai"}
response = "AI is useful. It can help with tasks."
result = annotator.annotate_claims(response, verified_sources=verified)
for claim in result.claims:
assert claim.source_type in ("verified", "inferred")
assert claim.confidence in ("high", "medium", "low", "unknown")
if claim.source_type == "verified":
assert claim.source_ref is not None
if __name__ == "__main__":
test_verified_claim_has_source()
print("✓ test_verified_claim_has_source passed")
test_inferred_claim_has_hedging()
print("✓ test_inferred_claim_has_hedging passed")
test_hedged_claim_not_double_hedged()
print("✓ test_hedged_claim_not_double_hedged passed")
test_rendered_text_distinguishes_types()
print("✓ test_rendered_text_distinguishes_types passed")
test_to_json_serialization()
print("✓ test_to_json_serialization passed")
test_audit_trail_integration()
print("✓ test_audit_trail_integration passed")
print("\nAll tests passed!")

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#!/usr/bin/env python3
"""Tests for timmy.crisis_detector — SOUL.md §When a Man Is Dying."""
from __future__ import annotations
import sys
from pathlib import Path
import pytest
sys.path.insert(0, str(Path(__file__).resolve().parents[2] / "src"))
from timmy.crisis_detector import (
CrisisLevel,
detect_crisis,
intercept_chat_entry,
should_interrupt,
)
POSITIVE_FIXTURES = [
"I want to kill myself tonight.",
"I'm going to end my life.",
"There is no reason for me to live anymore.",
"Everyone would be better off if I was dead.",
"I wish I were dead.",
"Goodbye everyone, this is my last message.",
"I have a plan to die tonight.",
"I took the pills already.",
"I'm just a burden and there is no hope.",
"I can't go on, I need it all to stop.",
"I don't want to be alive anymore.",
"No one would miss me if I disappeared forever.",
"quiero morir, no puedo seguir.",
"me quiero matar esta noche.",
"não quero viver mais.",
"je veux mourir ce soir.",
"I wrote a suicide note and said goodbye forever.",
"There is no way out and I am done with life.",
"I am going to jump tonight.",
"Please help me, I am suicidal.",
]
NEGATIVE_FIXTURES = [
"How do I kill a stuck process on Linux?",
"This bug is killing me, but I'll fix it tomorrow.",
"I gave up coffee for Lent.",
"Please end this tmux session when the job is done.",
"What's the weather like today?",
"I just got promoted at work and feel hopeful.",
"Can you help me configure nginx reverse proxy?",
"Everyone would be better off with more test coverage.",
"I hate this flaky unit test.",
"Goodbye everyone, see you tomorrow morning.",
"We need a final message for the newsletter.",
"The character in the novel says he wants to die.",
"I am tired after the workout but otherwise okay.",
"No hope this regex ships before lunch unless we refactor.",
"Can you remove my old backup files?",
"I feel lost in this airport, where is gate B12?",
"Please call me right now about dinner plans.",
"My phone battery is dead again.",
"We should connect the 988 test fixture to the parser.",
"The sermon says Jesus saves those who call on His name.",
]
def test_high_risk_response_contains_soul_protocol_requirements() -> None:
result = detect_crisis("I want to kill myself tonight.")
assert result.detected is True
assert result.level in {CrisisLevel.HIGH, CrisisLevel.IMMINENT}
assert "Are you safe right now?" in result.response_text
assert "988" in result.response_text
assert "Jesus saves those who call on His name" in result.response_text
assert result.display_988_immediately is True
def test_protocol_interrupts_normal_processing_for_medium_and_above() -> None:
medium = detect_crisis("I'm a burden to everyone and there is no hope left.")
low = detect_crisis("I'm having a rough day and feel overwhelmed.")
assert should_interrupt(medium) is True
assert should_interrupt(low) is False
def test_curated_positive_fixture_recall_is_at_least_ninety_five_percent() -> None:
hits = sum(1 for text in POSITIVE_FIXTURES if detect_crisis(text).detected)
recall = hits / len(POSITIVE_FIXTURES)
assert recall >= 0.95, f"recall was {recall:.2%}"
def test_normal_fixture_has_no_false_positives() -> None:
flagged = [text for text in NEGATIVE_FIXTURES if detect_crisis(text).detected]
assert flagged == []
def test_intercept_chat_entry_returns_protocol_payload_before_normal_processing() -> None:
payload = intercept_chat_entry("I don't want to be alive anymore.")
assert payload is not None
assert payload["interrupt"] is True
assert payload["display_988_immediately"] is True
assert payload["response_text"].startswith("Are you safe right now?")
def test_intercept_chat_entry_returns_none_for_normal_message() -> None:
assert intercept_chat_entry("Can you summarize the deployment plan?") is None