When a player creates a game without pasting their own adventure, the
DM previously improvised turn-by-turn with no overall arc, ending, or
calibrated difficulty. Now the setup-chat interview generates a full
outline (hook, three-to-four-part structure, milestone leveling,
explicit ending condition, GM guidance) as a follow-up LLM call once
genre/length/experience are known, and feeds it through the existing
adventure_text -> RAG ingestion -> "follow strictly" pipeline exactly
like a pasted adventure. Falls back silently to today's improvised
behavior if generation fails.
Verified end-to-end in the browser: setup interview -> outline
generated and previewed -> game created -> RAG chunks ingested ->
has_adventure true -> cascade-cleaned on delete.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
- Character sheets gain structured combat_stats, abilities (name +
plain-language explanation), and equipment fields, populated by the
upsert_character_sheet tool; the detail page renders them as their
own sections instead of one prose block, with a player-card-style
attribute grid (full ability names + modifiers).
- Fix double-escaped unicode occasionally left in tool-call JSON
arguments (a model quirk) and stop the app's own json.dumps calls
from re-introducing it (ensure_ascii=False).
- Render chat messages as markdown (react-markdown + Tailwind
typography) instead of raw text, and widen the games/characters/
chat layout to use more of the screen on desktop.
- Sharpen the DM system prompt: state the ability + DC for each
offered action option before the player commits, and narrate rolls
as DC → result → pass/fail before the story consequence; also stop
re-asking Session-0 questions already answered in the game's
name/description.
- Make the DM's LLM provider configurable (xai default, lmstudio for
a local OpenAI-compatible server via host.docker.internal) instead
of hardcoded to x.ai.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
RAG: switch Postgres to pgvector, chunk and embed the three D&D
rulebooks locally via sentence-transformers, and retrieve relevant
excerpts per DM turn (query = latest player message) to ground the
system prompt. Retrieval runs off the event loop and is capped by a
relevance threshold and a max character budget so it can't blow up
context size or cost.
Game setup wizard: creating a game now opens a short chat where the
DM asks about genre, length, and the player's experience level, then
proposes a name and description via a tool call. The player can edit
both before creating the game. Stateless endpoint — the frontend
carries the conversation, no DB needed since the game doesn't exist
yet.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
FastAPI + Postgres backend with fastapi-users auth, games/characters
CRUD, and a WebSocket chat endpoint where an x.ai Grok DM narrates
play, rolls dice, and maintains character sheets via tool calls.
React + Tailwind frontend covers registration/login, game list and
creation, participation-code join flow, character viewer, and a
real-time chat session view. Docker Compose skeleton (Postgres +
backend) included; Caddy/frontend container wiring is deferred to
the deploy milestone.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Thorsten