Only the player character's HP was tracked before, so a monster's
death was never detected — only the DM's own (unenforced) narration
of it. Add a new update_monster_hp tool the DM calls whenever an
NPC/monster is introduced or takes damage, stored as DM-only
bookkeeping on Game (never exposed via GameRead, since HP/AC of NPCs
is meant to stay secret from players). The tool reports back
"defeated": true once HP drops to 0 so the DM can react to it — but
unlike a character dying, this does NOT auto-end the session; whether
a monster's death should end the game is a separate decision left to
the DM's own end_game call, or to a future rule.
Building an isolated test for this caught a real bug along the way:
the update mutated the matched monster's dict in place before
reassigning the list, which made SQLAlchemy's old-vs-new JSONB
comparison see identical content and silently skip writing the
change. Fixed by building fresh dicts instead of mutating shared ones.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Games now have a status/ended_reason pair. The DM can call the new
end_game tool when the story reaches a real conclusion (victory,
defeat, or a resolved one-shot), and the backend independently ends
the game whenever a character's HP drops to 0 or below, regardless of
whether the DM narrates it. The frontend shows a banner and a
"Beendet" badge once a game ends.
HP moves from the freeform combat_stats bag into dedicated
current_hp/max_hp columns on Character, since reliably detecting 0 HP
requires a real integer rather than parsing strings like "3/10" out of
an LLM-authored key/value dict. Also fixed combat_stats to fully
replace on each upsert instead of merging, matching its documented
contract — the merge was leaving stale keys (old HP/TP text) behind
after the model stopped sending them.
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