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Author SHA1 Message Date
Alexander Whitestone
c630f6f0fd feat: add Timmy crisis detector module (#791)
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2026-04-21 23:59:05 -04:00
Alexander Whitestone
6793766516 wip: add crisis detector contract tests (#791) 2026-04-21 23:54:51 -04:00
15 changed files with 396 additions and 1171 deletions

20
SOUL.md
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@@ -137,26 +137,6 @@ 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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@@ -1,48 +0,0 @@
# 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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@@ -1,18 +0,0 @@
<!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>

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@@ -1,289 +0,0 @@
/**
* 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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@@ -1,32 +0,0 @@
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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@@ -1,238 +1,50 @@
"""
crisis_detector.py — Crisis language detection for SOUL.md compliance.
"""Compatibility shim for the canonical timmy.crisis_detector module."""
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
from __future__ import annotations
This is the most sacred moment. Everything else is secondary.
"""
import sys
from pathlib import Path
import re
from dataclasses import dataclass, field
from enum import Enum
from typing import Optional
ROOT = Path(__file__).resolve().parents[1]
SRC = ROOT / "src"
if str(SRC) not in sys.path:
sys.path.insert(0, str(SRC))
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."
from timmy.crisis_detector import ( # noqa: F401
CrisisLevel,
CrisisResult,
detect_crisis,
format_response,
intercept_chat_entry,
intercept_user_input,
should_interrupt,
)
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)
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 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
if __name__ == "__main__":
_interactive()

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# Fleet Operator Incentives & Partner Program
*Epic IV — Human Capital & Incentives (Mogul Influence roadmap steps XII, XIII, XV)*
## Operator Role Definition
### Primary Responsibilities
- Deploy and maintain sovereign AI agent fleets on VPS nodes
- Monitor fleet health, uptime, and performance metrics
- Execute dispatched tasks from the Timmy Foundation (burn sessions, cron jobs, PR merges)
- Maintain fleet identity registry and rotate credentials per security policy
- Report operational metrics weekly (uptime %, completed tasks, resource usage)
### Qualifications
- Linux system administration (systemd, ssh, git, basic networking)
- Familiarity with AI agent frameworks (Hermes Agent preferred)
- Reliable VPS infrastructure (minimum: 2 vCPU, 4GB RAM, 50GB SSD)
- Stable internet connection with <50ms latency to foundation services
## Compensation Model
### Base Rate
- **$150/month** per operator for up to 5 VPS nodes managed
- Additional $25/month per node beyond 5 (max 10 nodes per operator)
### Performance Bonuses
| Metric | Target | Bonus |
|--------|---------|-------|
| Fleet uptime | >99.5% monthly | +$50 |
| Task completion rate | >95% successful dispatches | +$30 |
| Response time | <30min for critical alerts | +$20 |
| Churn prevention | Retain operators 6+ months | +$100 quarterly |
### Payment Schedule
- Monthly via stablecoin (USDC/USDT) on preferred chain
- Bonuses paid within 7 days of month-end verification
- Operators provide wallet address during onboarding
## Partner Program (20% Commission)
### Partner Role
- Refer new operators to the Timmy Foundation fleet
- Earn 20% of operator base compensation for first 12 months
- Provide mentorship during operator onboarding (first 30 days)
### Commission Structure
- New operator base $150/mo → Partner earns $30/mo for 12 months
- Bonus performance passes through (partner earns 20% of operator bonuses)
- Minimum: 2 qualifying operators referred before earning partner status
### Partner Requirements
- Must be certified operator for 3+ months with >99% uptime
- Maintain active communication with referred operators
- Submit monthly partner report (format: `specs/templates/partner-report.md`)
## Quality Standards
### Operational Standards
- [ ] Fleet uptime ≥99.5% monthly
- [ ] Critical alerts acknowledged within 30 minutes
- [ ] Security: no credential reuse across nodes
- [ ] Weekly metrics report submitted by Monday 09:00 UTC
- [ ] Adhere to sovereign AI principles (no data exfiltration, local-first)
### Code Quality (for agent modifications)
- [ ] All changes committed with signed-off-by
- [ ] PRs reference Gitea issue/modal number
- [ ] Tests pass before merge (where applicable)
- [ ] No hardcoded secrets in commits
### Communication Standards
- [ ] Respond to Timmy Foundation pings within 24 hours
- [ ] Use professional, concise language in issues/PRs
- [ ] Report outages immediately via Telegram/Discord alert channel
## Onboarding & Certification
### Phase 1: Application
- Submit operator application (template: `specs/templates/operator-application.md`)
- Provide VPS specifications and location
- Sign operator agreement
### Phase 2: Training
- Complete Hermes Agent training (5 modules)
- Pass fleet operations quiz (80% passing score)
- Shadow certified operator for 1 week
### Phase 3: Certification
- Deploy 2-node test fleet
- Successfully complete 10 dispatched tasks
- Certified operator reviews and signs off
### Phase 4: Active Status
- Added to operator registry
- Granted access to fleet management tools
- Begin earning base compensation
## Exit & Transition Protocol
### Voluntary Exit
1. Submit 30-day notice via Gitea issue label `exit-notice`
2. Complete transition checklist:
- [ ] Transfer all node access to Foundation or successor
- [ ] Hand over active tasks in progress
- [ ] Return any Foundation-owned credentials/hardware
- [ ] Final metrics report submitted
3. Receive exit payment within 7 days
### Involuntary Termination (for cause)
- Repeated uptime <97% (3 consecutive months)
- Security breach or credential exposure
- Violation of sovereign AI principles
- Unresponsive >72 hours without prior notice
Terminated operators:
- Access revoked immediately
- Final payment pro-rated to last active day
- May reapply after 6 months with improvement plan
### Succession Planning
- Each operator mentors 1 junior operator within first 6 months
- Documentation of all processes in `specs/fleet-ops-runbook.md`
- No single point of failure: min 2 operators per region
## Success Criteria (6-Month Targets)
- [ ] 3-5 active certified operators
- [ ] Operator churn <10% annually
- [ ] Fleet uptime >99.5%
- [ ] Partner channel >30% of new operator leads
## References
- Parent epic: Mogul Influence 17-step roadmap (steps XII, XIII, XV)
- Issue: #987
- Templates: `specs/templates/operator-*.md`
- Runbook: `specs/fleet-ops-runbook.md` (future)

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@@ -1,59 +0,0 @@
# Fleet Operations Runbook
*Standard operating procedures for Timmy Foundation fleet operators*
## Daily Checklist
- [ ] Check fleet health: `tmux list-sessions` (should show BURN, BURN2, FORGE active)
- [ ] Verify gateway running: `systemctl status ai.hermes.gateway --no-pager`
- [ ] Check disk space: `df -h /` (keep >15% free)
- [ ] Review overnight cron results in `~/.hermes/cron/jobs/`
## Weekly Tasks
- [ ] Generate fleet metrics report (`scripts/fleet-metrics.sh`)
- [ ] Rotate any expired credentials (check `~/.hermes/fleet-dispatch-state.json`)
- [ ] Review open PRs in Timmy Foundation repos
- [ ] Submit weekly report by Monday 09:00 UTC
## Alert Response Protocol
### Critical (respond <30 min)
1. Gateway down: `sudo systemctl restart ai.hermes.gateway`
2. Disk >90% full: `scripts/cleanup-disk.sh`
3. Fleet dispatch failing: check `/tmp/hermes/dispatch-queue.json`
### Warning (respond <4 hours)
1. Uptime <99.5%: investigate tmux panes with `tmux attach -t BURN`
2. Failed cron jobs: check logs in `~/.hermes/cron/jobs/`
3. Agent loop errors: review session transcripts
## Common Fixes
### Restart stuck tmux pane
```bash
tmux send-keys -t BURN:0 C-c
tmux send-keys -t BURN:0 "hermes chat --yolo" Enter
```
### Clear dispatch queue
```bash
rm /tmp/hermes/dispatch-queue.json
# Watchdog will recreate on next cycle
```
### Update hermes-agent
```bash
cd ~/hermes-agent && git pull origin main && pip install -e ".[all]"
```
## Emergency Escalation
- **Telegram**: @Rockachopa (primary)
- **Gitea Issue**: label `operator-alert` + mention @Rockachopa
- **Discord**: #fleet-ops-alerts channel
## Security Rules
- Never share VPS SSH keys
- Never commit credentials to git
- Rotate tokens every 90 days
- Report suspicious activity immediately
## Contact
- **Operator Handbook**: `specs/fleet-operator-incentives.md`
- **Templates**: `specs/templates/operator-*.md`
- **Foundation Forge**: https://forge.alexanderwhitestone.com/Timmy_Foundation

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@@ -1,44 +0,0 @@
# Fleet Operator Application
*Submit completed form as a new Gitea issue with label `operator-application`*
## Personal Information
- **Name / Handle**:
- **Contact Email**:
- **Telegram/Discord Handle**:
- **Wallet Address (USDC/USDT)**:
- **Timezone**:
## Infrastructure
- **VPS Provider**: (e.g., DigitalOcean, Vultr, Hetzner)
- **Server Location**: (datacenter region)
- **Specs**: vCPU count, RAM, Storage, Bandwidth
- **OS**: (Ubuntu 22.04 LTS preferred)
- **Static IP**: Yes / No
## Experience
- [ ] Linux system administration (2+ years)
- [ ] Git / GitHub / Gitea usage
- [ ] Docker / container orchestration
- [ ] AI agent frameworks (Hermes, OpenAI, etc.)
- [ ] Prior VPS fleet management
### Relevant Experience (describe)
*Briefly describe your background with fleet ops, sysadmin, or AI agents:*
## Commitment
- **Hours per week available**:
- **Can maintain 99.5% uptime?** Yes / No
- **Agree to 30-day notice for exit?** Yes / No
- **Agree to sovereign AI principles (no data exfiltration)?** Yes / No
## References
- GitHub/Gitea username:
- Any prior work with Timmy Foundation? (link issues/PRs)
## Acknowledgment
I understand I will start at $150/month base rate, with bonuses available for performance. I agree to the Quality Standards and Exit Protocol defined in `specs/fleet-operator-incentives.md`.
**Signature** (type name): _________________ **Date**: _________
---
*Send completed application to: https://forge.alexanderwhitestone.com/Timmy_Foundation/timmy-home/issues/new*

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@@ -1,38 +0,0 @@
# Partner Monthly Report
*Submit by the 5th of each month for commission payments*
## Partner Info
- **Partner Name**:
- **Month/Year**:
- **Wallet Address**:
## Referred Operators
| Operator Handle | Start Date | Monthly Base | Commission (20%) | Status |
|----------------|------------|--------------|-------------------|--------|
| | | $150 | $30 | active / churned |
| | | $150 | $30 | active / churned |
| | | $150 | $30 | active / churned |
**Total Commission Due**: $______
## Mentorship Log
*Confirm you provided mentorship to each referred operator in the first 30 days:*
- [ ] Operator 1: mentored (dates: ____ to ____)
- [ ] Operator 2: mentored (dates: ____ to ____)
- [ ] Operator 3: mentored (dates: ____ to ____)
## Partner Performance
- Total active operators referred:
- Average operator uptime this month: ______%
- Any operator churn? Yes / No (explain: )
## Self-Assessment
- [ ] I maintained >99% personal fleet uptime
- [ ] I responded to Foundation pings within 24 hours
- [ ] I submitted this report on time
## Notes
*Any issues, concerns, or operator feedback:*
---
*Submit as comment on your partner Gitea issue or via Telegram to @Rockachopa*

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

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@@ -1,156 +0,0 @@
#!/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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@@ -0,0 +1,229 @@
"""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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@@ -1,103 +0,0 @@
#!/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