# Phase 0B — Baseline Results

**Date:** 2026-09-01. Host: Linux, 4 cores, 15 GB RAM, no GPU, Python 3.12.3, Node 22.23.1.
Inference: Ollama in Docker (`ollama/ollama:latest`) on `127.0.0.1:11434`, models
`qwen2.5:0.5b`, `qwen2.5:3b-instruct`, `nomic-embed-text`.

| | AI-DnD | Open Dungeon | ai-adventure |
|---|---|---|---|
| SHA | `d72f7c1b` | `b0a79f96` | `873ea918` |
| License | MIT | MIT | Apache-2.0 |
| Repo age / commits / authors | created 2026-07-20, 172, 3 | 2026-06-12, 45, 1 | 2026-07-20, 20, 1 |
| Code size | ~30.7k LOC | ~9.1k LOC | ~4.5k LOC |
| Stack | FastAPI + SQLAlchemy + React/Vite | Next.js 16 + React 19 | Python stdlib + pydantic, CLI |
| Storage | SQLite (Postgres option via `AIDND_DATABASE_URL`) | SQLite (`better-sqlite3`) | SQLite + FTS5 |
| Install | `pip install -r requirements*.txt`, `npm install` — clean | `npm install` — clean, 7 advisories (6 high) | `pip install -r requirements.txt` — clean |
| Dependencies | 41 pip + 39 npm | 335 npm | **6 pip (1 direct: pydantic)** |
| Tests | **632 passed / 236s** | **none — no script, no framework** | **76 passed / 1.9s** |
| Ports | 8000 (prod/docker), 5173 + 8000 (dev) | 3000 (app), 7869 (FLUX worker), 8188 (ComfyUI) | none (CLI) |
| Model assumption | any OpenAI-compatible; **defaults to `http://localhost:11434/v1`** | Ollama native API, or OpenAI-compatible "custom" | OpenAI-compatible; base_url in `world.toml` |
| Docker build | `docker build` succeeds (3-stage, builds SPA) | not attempted (npm path used) | n/a |
| Runtime failures | none once running; **offline blocker, see offline report** | none | typed-event validation fails on a weak model (by design) |
| Cloud/hosted surface | `render.yaml`, multi-user auth, demo key, analytics, Postgres, OpenRouter default | OpenRouter preset, Next telemetry on by default, donation links | **none** |

## Notes

- **AI-DnD** ran its whole suite green on the first attempt with no fixes. Its
  default settings already point at Ollama; `POST /api/settings/test` returned
  `{"ok":true,"models":["qwen2.5:0.5b"]}` with no configuration beyond selecting
  a model name.
- **Open Dungeon** has `lint` and several Windows/image smoke scripts, but no
  unit or integration tests of any kind. Its `local` provider only offers five
  hard-coded Gemma 4 QAT builds (`src/lib/text-models.ts`), so a non-Gemma local
  model must go through the "custom" OpenAI-compatible provider; that is how it
  was driven here.
- **ai-adventure** is the only candidate whose full dependency closure is one
  third-party package. `python -m local_adventure doctor` is a genuine
  environment self-check (Python version, writable runtime dir, SQLite version,
  FTS5 availability, schema version, world validity, endpoint reachability,
  model visibility).