Address three fan-settings issues:
1. Profile view: show a fan icon next to a profile's name when it has a
saved fan curve, so it's clear which profiles carry custom fans.
2. Fan curve persistence: the active fan curve was in-memory only and lost
on every server restart. It is now persisted per-GPU in
/etc/nvcurve/config.json (fan_curves) and re-applied at server startup,
so an applied curve survives restarts. All fan-curve state changes route
through _activate_fan_curve/_deactivate_fan_curve helpers that keep the
persisted state in sync (apply, reset, and profile apply).
3. Point removal: the fan-curve remove button was nearly invisible. The
chart remove control is now always faintly visible with an X glyph, the
table remove button is larger with a tooltip, and a hint line explains
how to add/remove points.
Also includes a formatting pass over the two edited frontend files.
Add a new Dashboard tab as the default/first tab (Dashboard - Curve -
Performance - Fans) showing a full GPU overview.
Backend:
- New hal/dashboard.py: one-shot static GPU info via NVML (VBIOS, CUDA
cores, compute capability, bus width, BAR1/CPU-accessible VRAM,
Resizable BAR, PCIe max, max clocks, power limits, temp thresholds,
persistence mode, fan count, serial, board part number, UUID).
ROP count and VRAM type are best-effort from a per-model table since
NVML does not expose them.
- New /api/dashboard endpoint.
- MonitoringSample gains live throttle_reasons (+label), PCIe link
width/generation (downclocks when idle, so read per poll), and VRAM
temp (from the MEMORY thermal sensor, if exposed).
Frontend:
- New Dashboard component: critical top row (throttling, voltage,
GPU/VRAM temps), full live-monitor grid with sparklines, and a static
GPU-information grid. Unavailable fields are omitted.
- useDashboard hook + DashboardInfo type + api.client dashboard().
Also: restrict CORS to localhost origins (end-anchored), make
_int_key_deltas fail closed on bad keys, and clean up lint blockers in
server.py/monitoring.py.
Add optional login protection for the web UI/API, intended for shared
machines (e.g. AI servers). Dual mode: with no users configured the API
and web UI are open (as before); once at least one user exists, every
/api/* and /ws/* endpoint requires a valid session.
- bcrypt password hashing: passwords stored as $2b$ hashes in
/etc/nvcurve/users.json (0600, root-owned); plaintext never persisted.
- 24-hour sessions: HttpOnly cookie for browsers, Authorization: Bearer
token for CLI/scripts; in-memory, invalidated on server restart.
- Multi-user: multiple named accounts (no shared-password mode).
- New CLI: nvcurve user add|list|remove|set-password (root for mutating
ops; password always prompted, never a CLI argument).
- New endpoints: GET /api/ping (public), /api/auth/status|login|logout|users.
- Web UI: sign-in screen when auth is enabled; status bar shows the
signed-in user with sign-out; expired sessions (401) re-show sign-in.
- Brute-force lockout: 10 failed logins/IP within 5 min -> 15 min lockout.
- New dependency: bcrypt.
Also: LSP config (pyrightconfig.json) pointing at the project .venv, and
small error-handling cleanups in daemon.py/server.py.
init_nvapi() previously called sys.exit(1) directly, which raised
SystemExit (uncaught by except Exception). The autoload subprocess
would die instantly if the NVIDIA driver wasn't fully loaded at boot.
- Raise RuntimeError from init_nvapi() so callers can handle failures
- Add 16-attempt retry loop (2s interval, 32s total) in run_autoload()
- Replace PyPI-only install with full source build workflow (npm + uv)
- Add Blackwell GPU fork notice with extended memory offset and fan control
- Add systemd service section: install commands, unit file template, config reference
- Update docs/Installation.md to match npm + uv tool install . workflow
- Update docs/Overview.md with Blackwell-specific capabilities
- Backend HAL (hal/fans.py): NVML v2 fan read/set/reset with min/max queries
- Server endpoints: GET/POST /api/fans, POST /api/fans/reset, POST /api/fans/speed
- Background fan poller: reads GPU temp every 2s, interpolates fan speed from curve
- Profile integration: fan_curve field saved/applied, auto-restore on shutdown
- Frontend: FanCurveEditor (SVG chart with drag/add/delete points), FanMonitor sidebar
- App.tsx: three-tab layout (Curve, Performance, Fans)
- GaugeCard: optional history sparkline, Fan Mode card without sparkline
- fan_mode field populated as 'curve' or 'auto' in GET /api/fans
Pakobbix
ARIA
hhofmann