Running games always continue; new work is refused when there is no
capacity; abuse is rejected immediately.
- Docker: CPU/memory/pids caps per container (overridable in .env);
uvicorn message size, queue and concurrency limits
- Server abuse limits: connections total/per IP (close 1013), message
rate per connection (token bucket, close 1008 on floods), lobby
creation rate per IP
- Load monitor: event loop lag, CPU of the own cgroup quota and
throttling, with hysteresis (normal/busy/overloaded, severe lag
overloads immediately)
- Admission control: create_lobby and start_game refused while
overloaded or MAX_ACTIVE_GAMES are running; server_status message
broadcast on changes; /health reports load but stays ok
- AI bridge: timeout sent with requests, in-flight cap, circuit breaker
- AI service: bounded workers and queue ("overloaded"), drops expired
requests, degrades to the heuristic agent when busy or too slow
- Website: busy notices, Create/Start disabled when not accepting
games, slow retry when the server is full
- Tests for limiters, load levels, admission control and AI service
limits; docs updated
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
wizard_server
FastAPI game server. It manages sessions, lobbies and games, and talks to the AI service.
game_logic/— the standalone rules engine (pip install ./game_logic, see its README).app/main.py— routes:GET /health,WS /ws(browsers),WS /internal/ai(AI service, refused when the request came through the reverse proxy)app/protocol.py— client message schemaapp/service.py— dispatches client messages, reconnects sessions, cleanupapp/lobby.py— lobbies, seats, host actions, running games and AI turnsapp/ai_bridge.py— request/response protocol with the AI service, random-move fallbackapp/sessions.py— sessions (token based, survive reloads) and ordered websocket sending
Configuration (environment): AI_SHARED_SECRET, AI_DECISION_TIMEOUT (5s), AI_MOVE_DELAY (0.8s),
TRICK_PAUSE (1.8s), SESSION_TTL (1800s), MAX_LOBBIES (1000), ALLOWED_ORIGINS, LOG_LEVEL.
pip install -r requirements-dev.txt
uvicorn app.main:app --reload
pytest