# Copy this file to .env and fill in real values. Never commit .env.

# DM model provider: "xai" (default, cloud) or "lmstudio" (local, free, no API cost)
LLM_PROVIDER=xai

# x.ai API (Grok) — used when LLM_PROVIDER=xai. Get a key at https://console.x.ai
XAI_API_KEY=
DM_MODEL=grok-4.6

# LM Studio local server — used when LLM_PROVIDER=lmstudio. Use host.docker.internal, not a
# LAN IP — the backend runs inside Docker and can't necessarily reach the host's LAN address
# (e.g. a WSL2-internal IP the host itself sees but containers can't route to).
LMSTUDIO_BASE_URL=http://host.docker.internal:1234/v1
LMSTUDIO_API_KEY=
# When LLM_PROVIDER=lmstudio, also set DM_MODEL above to the model id LM Studio reports at
# GET /v1/models, e.g. DM_MODEL=qwen2.5-14b-instruct

# Auth secrets — generate with: python -c "import secrets; print(secrets.token_urlsafe(32))"
JWT_SECRET=
RESET_PASSWORD_SECRET=
VERIFICATION_TOKEN_SECRET=

# Postgres
POSTGRES_USER=dnd
POSTGRES_PASSWORD=
POSTGRES_DB=dnd
DATABASE_URL=postgresql+asyncpg://dnd:changeme@postgres:5432/dnd

# SMTP (password reset emails). Leave empty in dev — emails are logged to console instead.
SMTP_HOST=
SMTP_PORT=587
SMTP_USER=
SMTP_PASSWORD=
SMTP_FROM=no-reply@dungeonsdragons.tstratmann.de

# Frontend / CORS
FRONTEND_ORIGIN=http://localhost:5173