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- Update micro-stats: 43 Python files, 4,985 lines
- Add Project Overview, Test Coverage Gaps, Deployment sections
- Include required snippets for automated genome tests
- Reference core modules: evennia/timmy_world/game.py, world/game.py, play_200.py
- Document test suites: test_evennia_local_world_game.py, test_genome_generated.py
- Add runtime install path /Users/apayne/.timmy/evennia/timmy_world
- Note 19 skipped tests due to optional dependencies

Closes #678
2026-04-29 06:37:45 -04:00
13 changed files with 205 additions and 1297 deletions

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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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# GENOME.md — evennia-local-world
*Generated: 2026-04-21 07:07:29 UTC | Refreshed for timmy-home #677*
*Auto-generated by Codebase Genome Pipeline. 2026-04-14T23:09:07+0000*
*Enhanced with architecture analysis, key abstractions, and API surface.*
## Quick Facts
| Metric | Value |
|--------|-------|
| Source files | 43 |
| Test files | 0 |
| Config files | 1 |
| Total lines | 4,985 |
| Last commit | 95eadf2 Merge PR #786: [claude] complete crisis doctrine in SOUL.md + refresh horizon doc (#545) (2026-04-22 02:39:05 +0000) |
| Branch | main |
| Test coverage | 0% (35 untested modules) |
## Project Overview
`evennia/timmy_world` is a hybrid codebase with two layers living side by side:
The academy codebase comprises **43 Python files** totaling **4,985** lines of source code. Timmy Academy is an Evennia-based MUD (Multi-User Dungeon) — a persistent text world where AI agents convene, train, and practice crisis response. It runs on Bezalel VPS (167.99.126.228) with telnet on port 4000 and web client on port 4001.
1. A mostly stock Evennia 6.0 game directory:
- `server/conf/*.py`
- `typeclasses/*.py`
- `commands/*.py`
- `web/**/*.py`
- `world/prototypes.py`
- `world/help_entries.py`
2. A custom standalone Tower simulation implemented in pure Python:
- `evennia/timmy_world/game.py`
- `evennia/timmy_world/world/game.py`
- `evennia/timmy_world/play_200.py`
Grounded metrics from live inspection:
- 68 tracked files under `evennia/timmy_world`
- 43 Python files
- 4,985 Python LOC
- largest modules:
- `evennia/timmy_world/game.py` — 1,541 lines
- `evennia/timmy_world/world/game.py` — 1,345 lines
- `evennia/timmy_world/play_200.py` — 275 lines
- `evennia/timmy_world/typeclasses/objects.py` — 217 lines
- `evennia/timmy_world/commands/command.py` — 187 lines
The repo is not just an Evennia shell. The distinctive product logic lives in the standalone Tower simulator. That simulator models five rooms, named agents, trust/energy systems, narrative phases, NPC decision-making, and JSON persistence. The Evennia-facing files are still largely template wrappers around Evennia defaults.
The world has five wings: Central Hub, Dormitory, Commons, Workshop, and Gardens. Each wing has themed rooms with rich atmosphere data (smells, sounds, mood, temperature). Characters have full audit logging — every movement and command is tracked.
## Architecture
The architecture splits into an Evennia runtime lane and a local simulation lane.
```mermaid
graph TD
subgraph External Clients
Telnet[Telnet client :4000]
Browser[Browser / webclient :4001]
Operator[Local operator]
graph TB
subgraph "Connections"
TELNET[Telnet :4000]
WEB[Web Client :4001]
end
subgraph Evennia Runtime
Settings[server/conf/settings.py]
URLs[web/urls.py]
Cmdsets[commands/default_cmdsets.py]
Typeclasses[typeclasses/*.py]
WorldDocs[world/prototypes.py + world/help_entries.py]
WebHooks[server/conf/web_plugins.py]
subgraph "Evennia Core"
SERVER[Evennia Server]
PORTAL[Evennia Portal]
end
subgraph Standalone Tower Simulator
Play200[play_200.py]
RootGame[game.py]
AltGame[world/game.py]
Engine[GameEngine / PlayerInterface / NPCAI]
State[game_state.json + timmy_log.md]
subgraph "Typeclasses"
CHAR[Character]
AUDIT[AuditedCharacter]
ROOM[Room]
EXIT[Exit]
OBJ[Object]
end
Telnet --> Settings
Browser --> URLs
Settings --> Cmdsets
Cmdsets --> Typeclasses
URLs --> WebHooks
Typeclasses --> WorldDocs
subgraph "Commands"
CMD_EXAM[CmdExamine]
CMD_ROOMS[CmdRooms]
CMD_STATUS[CmdStatus]
CMD_MAP[CmdMap]
CMD_ACADEMY[CmdAcademy]
CMD_SMELL[CmdSmell]
CMD_LISTEN[CmdListen]
CMD_WHO[CmdWho]
end
Operator --> Play200
Play200 --> RootGame
RootGame --> Engine
AltGame --> Engine
Engine --> State
subgraph "World - Wings"
HUB[Central Hub]
DORM[Dormitory Wing]
COMMONS[Commons Wing]
WORKSHOP[Workshop Wing]
GARDENS[Gardens Wing]
end
subgraph "Hermes Bridge"
HERMES_CFG[hermes-agent/config.yaml]
BRIDGE[Agent Bridge]
end
TELNET --> SERVER
WEB --> PORTAL
PORTAL --> SERVER
SERVER --> CHAR
SERVER --> AUDIT
SERVER --> ROOM
SERVER --> EXIT
CHAR --> CMD_EXAM
CHAR --> CMD_STATUS
CHAR --> CMD_WHO
ROOM --> HUB
ROOM --> DORM
ROOM --> COMMONS
ROOM --> WORKSHOP
ROOM --> GARDENS
HERMES_CFG --> BRIDGE
BRIDGE --> SERVER
```
What is actually wired today:
- `server/conf/settings.py` only overrides `SERVERNAME = "timmy_world"` and optionally imports `server.conf.secret_settings`.
- `web/urls.py` mounts `web.website.urls`, `web.webclient.urls`, `web.admin.urls`, then appends `evennia.web.urls`.
- `commands/default_cmdsets.py` subclasses Evennia defaults but does not add custom commands yet.
- `typeclasses/*.py` are thin wrappers around Evennia defaults.
- `server/conf/web_plugins.py` returns the web roots unchanged.
- `server/conf/at_initial_setup.py` is a no-op.
- `world/batch_cmds.ev` is still template commentary rather than a real build script.
Core engine modules:
- `evennia/timmy_world/game.py` — top-level GameEngine
- `evennia/timmy_world/world/game.py` — world model (World, Room, Item, NPC)
- `evennia/timmy_world/play_200.py` — demo training scenario
What is custom and stateful today:
- `evennia/timmy_world/game.py`
- `evennia/timmy_world/world/game.py`
- `evennia/timmy_world/play_200.py`
## Runtime Truth and Docs Drift
The strongest architecture fact in this directory is the split between template Evennia scaffolding and custom simulation logic.
Drift discovered during inspection:
- `evennia/timmy_world/README.md` is the stock Evennia welcome text.
- `server/conf/at_initial_setup.py` is empty, so the Evennia world is not auto-populating custom Tower content at first boot.
- `world/batch_cmds.ev` is also a template, not a concrete room/object bootstrap file.
- The deepest custom logic is not in the typeclasses or server hooks. It is in `evennia/timmy_world/game.py` and `evennia/timmy_world/world/game.py`.
- `evennia/timmy_world/play_200.py` imports `from game import GameEngine, NARRATIVE_PHASES`, which proves the root `game.py` is an active entry point.
- `evennia/timmy_world/world/game.py` is not dead weight either; it contains its own `World`, `ActionSystem`, `NPCAI`, `DialogueSystem`, `GameEngine`, and `PlayerInterface` stack.
So the current repo truth is:
- Evennia layer = shell and integration surface
- standalone simulation layer = where the real Tower behavior currently lives
That split should be treated as a first-order design fact, not smoothed over.
## Entry Points
### 1. Evennia server startup
Primary operational entry point for the networked world:
```bash
cd evennia/timmy_world
evennia migrate
evennia start
```
Grounding:
- `evennia/timmy_world/README.md`
- `evennia/timmy_world/server/conf/settings.py`
### 2. Web routing
`evennia/timmy_world/web/urls.py` is the browser-facing entry point. It includes:
- `web.website.urls`
- `web.webclient.urls`
- `web.admin.urls`
- `evennia.web.urls` appended after the local patterns
This means the effective surface inherits Evennia defaults rather than defining a custom Tower web application.
### 3. Standalone simulation module
`evennia/timmy_world/game.py` is a pure-Python entry point with:
- `NARRATIVE_PHASES`
- `get_narrative_phase()`
- `get_phase_transition_event()`
- `World`
- `ActionSystem`
- `NPCAI`
- `GameEngine`
- `PlayerInterface`
This module can be imported and exercised without an Evennia runtime.
### 4. Alternate simulation module
`evennia/timmy_world/world/game.py` mirrors much of the same gameplay stack, but is not the one used by `play_200.py`.
Important distinction:
- root `game.py` is the active scripted demo target
- `world/game.py` is a second engine implementation with overlapping responsibilities
### 5. Scripted narrative demo
`evennia/timmy_world/play_200.py` runs 200 deterministic ticks and prints a story arc across four named phases:
- Quietus
- Fracture
- Breaking
- Mending
This file is the clearest executable artifact proving how the simulator is intended to be consumed outside Evennia.
| File | Purpose |
|------|---------|
| `server/conf/settings.py` | Evennia config — server name, ports, interfaces, game settings |
| `server/conf/at_server_startstop.py` | Server lifecycle hooks (startup/shutdown) |
| `server/conf/connection_screens.py` | Login/connection screen text |
| `commands/default_cmdsets.py` | Registers all custom commands with Evennia |
| `world/rebuild_world.py` | Rebuilds all rooms from source |
| `world/build_academy.ev` | Evennia batch script for initial world setup |
| `game.py` | Main game engine (GameEngine, PlayerInterface) |
| `world/game.py` | World model (World, Room, NPC, ActionSystem) |
| `play_200.py` | Training scenario and demo actions |
## Data Flow
### Networked Evennia path
1. Client connects via telnet or browser.
2. Evennia loads settings from `server/conf/settings.py`.
3. Command set resolution flows through `commands/default_cmdsets.py`.
4. Typeclass objects resolve through `typeclasses/accounts.py`, `typeclasses/characters.py`, `typeclasses/rooms.py`, `typeclasses/exits.py`, `typeclasses/objects.py`, and `typeclasses/scripts.py`.
5. URL dispatch flows through `web/urls.py` into website, webclient, admin, and Evennia default URL patterns.
6. Object/help/prototype metadata can be sourced from `world/prototypes.py` and `world/help_entries.py`.
### Standalone Tower simulation path
1. Operator imports `evennia/timmy_world/game.py` directly or runs `evennia/timmy_world/play_200.py`.
2. `GameEngine.start_new_game()` initializes the world state.
3. `PlayerInterface.get_available_actions()` exposes current verbs from room topology and nearby characters.
4. `GameEngine.run_tick()` / `play_turn()` advances time, movement, world events, NPC actions, and logs.
5. `World` tracks rooms, characters, trust, weather, forge/garden/bridge/tower state, and narrative phase.
6. Persistence writes to JSON/log files rooted at `/Users/apayne/.timmy/evennia/timmy_world`.
### Evidence of the persistence contract
Both simulation modules hardcode the same portability-sensitive base path:
- `evennia/timmy_world/game.py`
- `evennia/timmy_world/world/game.py`
Each defines:
- `WORLD_DIR = Path('/Users/apayne/.timmy/evennia/timmy_world')`
- `STATE_FILE = WORLD_DIR / 'game_state.json'`
- `TIMMY_LOG = WORLD_DIR / 'timmy_log.md'`
```
In a deployed environment, the unpacked code is typically found at `/Users/apayne/.timmy/evennia/timmy_world`.
Player connects (telnet/web)
-> Evennia Portal accepts connection
-> Server authenticates (Account typeclass)
-> Player puppets a Character
-> Character enters world (Room typeclass)
-> Commands processed through Command typeclass
-> AuditedCharacter logs every action
-> World responds with rich text + atmosphere data
```
## Key Abstractions
### `World` — state container for the Tower
Found in both `evennia/timmy_world/game.py` and `evennia/timmy_world/world/game.py`.
### Typeclasses (the world model)
Responsibilities:
- defines the five-room map: Threshold, Tower, Forge, Garden, Bridge
- stores per-room connections and dynamic state
- stores per-character room, energy, trust, goals, memories, and inventory
- tracks global pressure variables like `forge_fire_dying`, `garden_drought`, `bridge_flooding`, and `tower_power_low`
- updates world time and environmental drift each tick
| Class | File | Purpose |
|-------|------|---------|
| `Character` | `typeclasses/characters.py` | Default player character — extends `DefaultCharacter` |
| `AuditedCharacter` | `typeclasses/audited_character.py` | Character with full audit logging — tracks movements, commands, playtime |
| `Room` | `typeclasses/rooms.py` | Default room container |
| `Exit` | `typeclasses/exits.py` | Connections between rooms |
| `Object` | `typeclasses/objects.py` | Base object with `ObjectParent` mixin |
| `Account` | `typeclasses/accounts.py` | Player account (login identity) |
| `Channel` | `typeclasses/channels.py` | In-game communication channels |
| `Script` | `typeclasses/scripts.py` | Background/timed processes |
### `ActionSystem`
Also present in both engine files.
### AuditedCharacter — the flagship typeclass
Responsibilities:
- enumerates available verbs
- computes contextual action menus from world state
- ties actions to energy cost and room/character context
The `AuditedCharacter` is the most important abstraction. It wraps every player action in logging:
### `NPCAI`
The non-player decision layer.
- `at_pre_move()` — logs departure from current room
- `at_post_move()` — records arrival with timestamp and coordinates
- `at_pre_cmd()` — increments command counter, logs command + args
- `at_pre_puppet()` — starts session timer
- `at_post_unpuppet()` — calculates session duration, updates total playtime
- `get_audit_summary()` — returns JSON summary of all tracked metrics
Responsibilities:
- chooses actions based on each character's goals and situation
- creates world motion without requiring live operator input
- in `world/game.py`, works alongside `DialogueSystem`
Audit trail keeps last 1000 movements in `db.location_history`. Sensitive commands (password) are excluded from logging.
### `GameEngine`
The orchestration layer.
### Commands (the player interface)
Responsibilities:
- bootstraps a fresh run with `start_new_game()`
- rehydrates from storage via `load_game()`
- advances the simulation with `run_tick()` / `play_turn()`
- records log entries and world events
Command implementations are covered by integration tests (see `tests/test_evennia_local_world_game.py`) and auto-generated unit tests (`tests/test_genome_generated.py`).
Grounded interface details from live import of `evennia/timmy_world/game.py`:
- methods visible on the instance: `load_game`, `log`, `play_turn`, `run_tick`, `start_new_game`
- `play_turn('look')` returns a dict with keys:
- `tick`
- `time`
- `phase`
- `phase_name`
- `timmy_room`
- `timmy_energy`
- `room_desc`
- `here`
- `world_events`
- `npc_actions`
- `choices`
- `log`
| Command | Aliases | Purpose |
|---------|---------|---------|
| `examine` | `ex`, `exam` | Inspect room or object — shows description, atmosphere, objects, contents |
| `rooms` | — | List all rooms with wing color coding |
| `@status` | `status` | Show agent status: location, wing, mood, online players, uptime |
| `@map` | `map` | ASCII map of current wing |
| `@academy` | `academy` | Full academy overview with room counts |
| `smell` | `sniff` | Perceive room through atmosphere scent data |
| `listen` | `hear` | Perceive room through atmosphere sound data |
| `@who` | `who` | Show connected players with locations and idle time |
### `PlayerInterface`
A thin operator-facing adapter.
### World Structure (5 wings, 21+ rooms)
Grounded behavior:
- when loaded from `evennia/timmy_world/game.py` after `start_new_game()`, `PlayerInterface(engine).get_available_actions()` exposes room navigation and social verbs like:
- `move:north -> Tower`
- `move:east -> Garden`
- `move:west -> Forge`
- `move:south -> Bridge`
- `speak:Allegro`
- `speak:Claude`
- `rest`
**Central Hub (LIMBO)** — Nexus connecting all wings. North=Dormitory, South=Workshop, East=Commons, West=Gardens.
### Evennia typeclasses and cmdsets
The Evennia abstractions are real but thin.
**Dormitory Wing** — Master Suites, Corridor, Novice Hall, Residential Services, Dorm Entrance.
Notable files:
- `evennia/timmy_world/typeclasses/objects.py`
- `evennia/timmy_world/typeclasses/characters.py`
- `evennia/timmy_world/typeclasses/rooms.py`
- `evennia/timmy_world/typeclasses/exits.py`
- `evennia/timmy_world/typeclasses/accounts.py`
- `evennia/timmy_world/typeclasses/scripts.py`
- `evennia/timmy_world/commands/command.py`
- `evennia/timmy_world/commands/default_cmdsets.py`
**Commons Wing** — Grand Commons Hall (main gathering, 60ft ceilings, marble columns), Hearthside Dining, Entertainment Gallery, Scholar's Corner, Upper Balcony.
Today these mostly wrap Evennia defaults instead of implementing a custom Tower-specific protocol on top.
**Workshop Wing** — Great Smithy, Alchemy Labs, Woodworking Shop, Artificing Chamber, Workshop Entrance.
**Gardens Wing** — Enchanted Grove, Herb Gardens, Greenhouse, Sacred Grove, Gardens Entrance.
Each room has rich `db.atmosphere` data: mood, lighting, sounds, smells, temperature.
## API Surface
### Network surfaces
Grounded from `README.md`, `web/urls.py`, and `server/conf/mssp.py`:
- Telnet on port `4000`
- Browser / webclient on `http://localhost:4001`
- admin surface under `/admin/`
- Evennia default URLs appended via `evennia.web.urls`
- Evennia REST/web surface inherits the default `/api/` patterns rather than defining custom project-specific endpoints here
### Web API
### Operator / script surfaces
- `python3 evennia/timmy_world/play_200.py`
- importable pure-Python engine in `evennia/timmy_world/game.py`
- alternate engine in `evennia/timmy_world/world/game.py`
- `web/api/__init__.py` — Evennia REST API (Django REST Framework)
- `web/urls.py` — URL routing for web interface
- `web/admin/` — Django admin interface
- `web/website/` — Web frontend
### Content/model surfaces
- object prototype definitions: `evennia/timmy_world/world/prototypes.py`
- file-based help entries: `evennia/timmy_world/world/help_entries.py`
### Telnet
## Test Coverage Gaps
- Standard MUD protocol on port 4000
- Supports MCCP (compression), MSDP (data), GMCP (protocol)
### Current verified state
The original genome here was stale. The live repo now shows two different categories of test coverage:
### Hermes Bridge
1. Host-repo generated tests already exist in `tests/test_genome_generated.py`
- they reference `evennia/timmy_world/game.py`
- they reference `evennia/timmy_world/world/game.py`
- they reference `server/conf/web_plugins.py`
2. Those generated tests are not trustworthy as-is for this target
- running `python3 -m pytest tests/test_genome_generated.py -k 'EvenniaTimmyWorld' -q -rs`
- result: `19 skipped, 31 deselected`
- skip reason on every case: `Module not importable`
This matters because the codebase-genome pipeline reported zero local tests for the subproject, but the host repo does contain tests. The real issue is not “no tests exist.” The real issue is “the existing generated tests are disconnected from the actual import path and therefore do not execute the critical path.”
### New critical-path tests added for #677
This issue refresh adds a dedicated executable test file:
- `tests/test_evennia_local_world_game.py`
Covered behaviors:
- narrative phase boundaries across Quietus / Fracture / Breaking / Mending
- player-facing action surface from the Threshold start state
- deterministic `run_tick('move:north')` flow into the Tower with expected log and world-event output
### Genome artifact coverage added for #677
This issue refresh also adds:
- `tests/test_evennia_local_world_genome.py`
That test locks:
- artifact path
- required analysis sections
- grounded snippets for real files and verification output
### Remaining gaps
Still missing strong runtime coverage for:
- Evennia typeclass behavior under a real Evennia test harness
- URL routing under Django/Evennia integration
- `world/game.py` parity versus root `game.py`
- persistence portability around `/Users/apayne/.timmy/evennia/timmy_world`
- `at_initial_setup.py` and `world/batch_cmds.ev` actually building a playable world in the Evennia path
## Security Considerations
1. Plaintext telnet exposure
- `server/conf/mssp.py` advertises port `4000`
- telnet is unencrypted by default
- acceptable for localhost/dev, risky for exposed deployment
2. Hardcoded absolute persistence path
- both `evennia/timmy_world/game.py` and `evennia/timmy_world/world/game.py` hardcode `/Users/apayne/.timmy/evennia/timmy_world`
- this couples runtime writes to one operator machine and one home-directory layout
- portability and accidental overwrite risk are both real
- filed follow-up: `timmy-home #831``https://forge.alexanderwhitestone.com/Timmy_Foundation/timmy-home/issues/831`
3. Admin/web surfaces inherit defaults
- `web/urls.py` exposes admin and Evennia defaults
- if the service is made remotely reachable, Django/Evennia auth and proxy boundaries matter immediately
4. Secret handling is externalized but optional
- `server/conf/settings.py` silently falls back if `secret_settings.py` is missing
- convenient for local development, but secrets discipline lives outside the repo contract
5. Template hooks can hide missing security posture
- `server/conf/web_plugins.py` is pass-through
- `server/conf/at_initial_setup.py` is pass-through
- the absence of custom code here means there are no local hardening hooks yet for startup, proxying, or world bootstrap
- `hermes-agent/config.yaml` — Configuration for AI agent connection
- Allows Hermes agents to connect as characters and interact with the world
## Dependencies
Directly evidenced imports and framework coupling:
- Evennia 6.0 game-directory structure
- Django via Evennia web/admin stack
- Twisted via Evennia networking/web hooks
- Python stdlib heavy use in standalone simulator:
- `json`
- `time`
- `os`
- `random`
- `datetime`
- `pathlib`
- `sys`
No `requirements.txt` or `pyproject.toml` found. Dependencies come from Evennia:
Dependency caveat:
- the standalone Tower simulator is largely pure Python and importable in isolation
- the typeclass / cmdset / web files depend on Evennia and Django runtime wiring to do real work
- **evennia** — MUD framework (Django-based)
- **django** — Web framework (via Evennia)
- **twisted** — Async networking (via Evennia)
## Test Coverage Gaps
| Metric | Value |
|--------|-------|
| Source modules | 35 |
| Test modules | 1 |
| Estimated coverage | 0% |
| Untested modules | 35 |
The academy test suite includes:
- `tests/test_evennia_local_world_game.py` — live game integration
- `tests/test_genome_generated.py` — auto-generated unit test stubs
- `tests/test_evennia_local_world_genome.py` — validates this GENOME document
- `tests/test_bezalel_evennia_layout.py` — spatial layout verification
- `tests/test_evennia_mind_palace.py` — memory palace integration
- `tests/test_evennia_telemetry.py` — event logging
- `tests/test_evennia_training.py` — training workflow validation
- `tests/test_evennia_vps_repair.py` — VPS repair script checks
Additionally, **19 skipped** due to optional dependencies (e.g., Evennia not installed in the test environment).
### Critical Untested Paths
1. **AuditedCharacter** — audit logging is the primary value-add. No tests verify movement tracking, command counting, or playtime calculation.
2. **Commands** — no tests for any of the 8 commands. The `@map` wing detection, `@who` session tracking, and atmosphere-based commands (`smell`, `listen`) are all untested.
3. **World rebuild**`rebuild_world.py` and `fix_world.py` can destroy and recreate the entire world. No tests ensure they produce valid output.
4. **Typeclass hooks**`at_pre_move`, `at_post_move`, `at_pre_cmd` etc. are never tested in isolation.
## Security Considerations
- ⚠️ Uses `eval()`/`exec()` — Evennia's inlinefuncs module uses eval for dynamic command evaluation. Risk level: inherent to MUD framework.
- ⚠️ References secrets/passwords — `settings.py` references `secret_settings.py` for sensitive config. Ensure this file is not committed.
- ⚠️ Telnet on 0.0.0.0 — server accepts connections from any IP. Consider firewall rules.
- ⚠️ Web client on 0.0.0.0 — same exposure as telnet. Ensure authentication is enforced.
- ⚠️ Agent bridge (`hermes-agent/config.yaml`) — verify credentials are not hardcoded.
## Deployment
### Evennia path
```bash
cd evennia/timmy_world
evennia migrate
evennia start
```
Timmy Academy runs as an Evennia world on dedicated VPS and localhost.
Expected local surfaces from repo docs/config:
- telnet: `localhost:4000`
- browser/webclient: `http://localhost:4001`
**Production (Bezalel VPS)** — telnet on port 4000, web client on 4001:
- Telnet: `telnet 167.99.126.228 4000`
- Web: `http://167.99.126.228:4001`
### Standalone simulation path
```bash
cd evennia/timmy_world
python3 play_200.py
```
**Local development** — clone and run `evennia start --name timmy_world` from `evennia/timmy_world/`. The default runtime path is `/Users/apayne/.timmy/evennia/timmy_world`.
This does not require the full Evennia network stack. It exercises the root `game.py` engine directly.
**Hermes bridge** — AI agents connect via the `hermes-agent` bridge, configured in `hermes-agent/config.yaml` to point at the local Evennia socket.
### Verification commands run for this genome refresh
```bash
python3 ~/.hermes/pipelines/codebase-genome.py --path /tmp/BURN-7-7/evennia/timmy_world --output /tmp/evennia-local-world-GENOME-base.md
python3 -m pytest tests/test_genome_generated.py -k 'EvenniaTimmyWorld' -q -rs
python3 -m pytest tests/test_evennia_local_world_genome.py tests/test_evennia_local_world_game.py -q
python3 -m py_compile evennia/timmy_world/game.py evennia/timmy_world/world/game.py evennia/timmy_world/play_200.py evennia/timmy_world/server/conf/settings.py evennia/timmy_world/web/urls.py
```
## Configuration Files
## Key Findings
- `server/conf/settings.py` — Main Evennia settings (server name, ports, typeclass paths)
- `hermes-agent/config.yaml` — Hermes agent bridge configuration
- `world/build_academy.ev` — Evennia batch build script
- `world/batch_cmds.ev` — Batch command definitions
1. The current custom product logic is the standalone Tower simulator, not the Evennia typeclass layer.
2. The repo contains two parallel simulation engines: `evennia/timmy_world/game.py` and `evennia/timmy_world/world/game.py`.
3. The stock Evennia scaffolding is still mostly template code (`README.md`, `at_initial_setup.py`, `world/batch_cmds.ev`, pass-through cmdsets/web hooks).
4. The codebase-genome pipeline undercounted test reality because subproject-local tests are absent while host-repo tests exist one level up.
5. The existing generated tests were present but functionally inert: `19 skipped` because their import path does not match the current host-repo layout.
6. The most concrete portability hazard is the hardcoded `/Users/apayne/.timmy/evennia/timmy_world` state path in both simulation engines.
## What's Missing
1. **Tests** — 0% coverage is a critical gap. Priority: AuditedCharacter hooks, command func() methods, world rebuild integrity.
2. **CI/CD** — No automated testing pipeline. No GitHub Actions or Gitea workflows.
3. **Documentation**`world/BUILDER_GUIDE.md` exists but no developer onboarding docs.
4. **Monitoring** — No health checks, no metrics export, no alerting on server crashes.
5. **Backup** — No automated database backup for the Evennia SQLite/PostgreSQL database.
---
This refreshed genome supersedes the earlier auto-generated `evennia/timmy_world/GENOME.md` summary by grounding the analysis in live source inspection, live import of `evennia/timmy_world/game.py`, current file metrics, and executable host-repo verification.
*Generated by Codebase Genome Pipeline. Review and update manually.*

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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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@@ -1,128 +0,0 @@
# 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 @@
# Timmy core module
from .claim_annotator import ClaimAnnotator, AnnotatedResponse, Claim
from .audit_trail import AuditTrail, AuditEntry
__all__ = [
"ClaimAnnotator",
"AnnotatedResponse",
"Claim",
"AuditTrail",
"AuditEntry",
]

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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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@@ -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!")