Files
gpu-turnstile/SPEC.md
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mram 83812cebf3 Add Linux systemd support and --install-service/--remove-service flags
The service package now has a Linux implementation alongside the Windows
one: systemd unit install/remove (/etc/systemd/system), readiness
notification (READY=1 via go-systemd) sent only after the listeners are
bound, a 30s watchdog, and STOPPING on shutdown. Listeners are pre-bound
so port conflicts fail fast and the readiness signal is truthful. The
notify calls are no-ops without NOTIFY_SOCKET (containers, shells) and
on non-Linux builds. --install-service/--remove-service work on both
platforms; the 'service install|remove' subcommand remains as an alias.
2026-09-20 22:35:59 +02:00

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# gpu-turnstile — GPU arbitration proxy for Ollama + ComfyUI
## Problem
One consumer GPU (RTX 5080, 16 GB) is shared by an LLM server (Ollama) and an
image generator (ComfyUI). Both assume they own the card. When both hold models
at once, the NVIDIA Windows driver falls back to system memory and everything
becomes very slow; on Linux it would OOM instead.
## Goal
A single Go binary that sits in front of **both** services and guarantees that
at any moment the GPU is in exactly one of three states:
- `idle` — nothing in flight
- `llm` — N ≥ 1 Ollama inference requests in flight (concurrency allowed)
- `image` — exactly one ComfyUI job in flight, Ollama models unloaded
Clients (LiteLLM, Open WebUI, n8n) point at gpu-turnstile instead of at the
services. gpu-turnstile is transparent for everything that does not touch the
GPU.
## Non-goals
- Not a scheduler across multiple GPUs or hosts. One lock, one card.
- No auth, TLS, rate limiting. Runs on an internal network behind Traefik or a
Docker bridge.
- No request rewriting, caching, or protocol translation.
- No persistence. Restart = idle state.
## Architecture
```
LiteLLM / Open WebUI ──► :11434 ─┐ ┌─► Ollama :11435
├── gpu-turnstile (1 lock) ──┤
Open WebUI / n8n ────► :8188 ───┘ └─► ComfyUI :8189
```
gpu-turnstile listens on the ports the services normally use; the actual
services run one port higher. Two listeners, one process, one lock. Each
listener is an `httputil.ReverseProxy` to its upstream. Websocket upgrades
(ComfyUI `/ws`) and streaming bodies (Ollama NDJSON / SSE) must pass through
unbuffered (`FlushInterval = -1`).
### Modes of operation
Each GPU consumer is enabled by setting its URL and disabled by leaving it
empty — no separate flags. At least one URL must be set; a disabled
consumer gets no listener, no startup probe, and no lock participation:
- **Both set** (default deployment): full arbitration as described below.
- **Only `OLLAMA_URL`**: pure pass-through for Ollama; the LLM lock never
blocks since no image jobs can arrive.
- **Only `COMFY_URL`**: image jobs are tracked and ComfyUI's VRAM is freed
afterwards, but the Ollama unload and warm-reload steps are skipped.
- Future consumers (e.g. detecting a local game holding VRAM) plug into the
same lock the same way: enabled by their config knob, excluded when
absent.
### Lock semantics
Two-mode lock with image priority (writer-preferring RW lock, where "readers"
are LLM requests and the single "writer" is an image job):
- **LLM request** (see endpoint list): `AcquireLLM()` blocks while state is
`image` **or while an image job is waiting**. Then state := `llm`, n++.
On completion (response fully written, including streamed bodies, or client
disconnect) n--; if n == 0 state := `idle`.
`LLM_BUSY_MODE` selects what a blocked LLM request sees: `wait` (default)
hangs until the lock is free or `LLM_WAIT_TIMEOUT` expires (then 503 +
`Retry-After`); `reject` answers immediately with `LLM_BUSY_STATUS`
(default 503; 429 works too) + `Retry-After: BUSY_RETRY_AFTER`, which
routers like LiteLLM honor for cooldowns/retries.
- **Image job**: `AcquireImage()` marks "image pending" (so no new LLM
requests start), waits until n == 0, sets state := `image`. Released after
the ComfyUI job finished and models were freed.
- Concurrent image jobs queue FIFO behind each other.
- All waits are context-aware: a client that disconnects while waiting is
removed from the queue.
### Endpoint classification
Ollama listener (`:11434``OLLAMA_URL`):
| Path | Handling |
|---|---|
| `POST /api/generate`, `/api/chat`, `/api/embed`, `/api/embeddings` | LLM lock |
| `POST /v1/chat/completions`, `/v1/completions`, `/v1/embeddings` | LLM lock |
| everything else (`/api/tags`, `/api/ps`, `/api/show`, `/api/version`, `/v1/models`, `/api/pull`, …) | pass-through, no lock |
ComfyUI listener (`:8188``COMFY_URL`):
| Path | Handling |
|---|---|
| `POST /prompt` | image lock (see flow below) |
| everything else (`/ws`, `/history/*`, `/view`, `/system_stats`, `/queue`, `/free`, …) | pass-through, no lock |
### Image job flow (`POST /prompt`)
1. `AcquireImage()`.
2. Unload Ollama (skipped when `OLLAMA_URL` is unset): `GET /api/ps`; for
each model `POST /api/generate
{"model":M,"keep_alive":0}`; if that returns non-2xx (embedding-only
models), `POST /api/embed {"model":M,"input":"x","keep_alive":0}`. Poll
`/api/ps` every `UNLOAD_POLL_INTERVAL` (default 500 ms) until empty or
`UNLOAD_TIMEOUT`. On timeout: log and
continue (degrade, don't fail the user's request).
3. Forward the original request body to ComfyUI `/prompt`, return status,
headers and body to the caller unchanged, flush.
4. If the response is 200 and contains `prompt_id`: in a goroutine, poll
`GET /history/<prompt_id>` every `HISTORY_POLL_INTERVAL` (default 1 s)
until the entry has
`status.completed == true`, `status.status_str == "error"`, or
`JOB_TIMEOUT`. Then `POST /free {"unload_models":true,"free_memory":true}`.
Then release the image lock.
5. If the response is not 200 or has no `prompt_id`: release the lock
immediately.
Optional (config flag `WARM_MODEL`): after releasing the image lock, if the
state is `idle`, send `POST /api/generate {"model":WARM_MODEL,"keep_alive":-1}`
with empty prompt to reload the chat model so the next chat doesn't pay the
load time. Off by default.
## Configuration (env)
Configuration comes from environment variables and/or an `.env`-style
config file (`KEY=VALUE` lines, `#` comments). File lookup order:
`-config <path>` flag, then `GPU_TURNSTILE_CONFIG`, then
`gpu-turnstile.env` next to the executable. Process environment variables
override file values. A missing file is fine; a malformed one is fatal.
| Var | Default | Meaning |
|---|---|---|
| `LISTEN_OLLAMA` | `:11434` | Ollama-facing listener |
| `LISTEN_COMFY` | `:8188` | ComfyUI-facing listener |
| `OLLAMA_URL` | _(empty = disabled)_ | Ollama upstream; set to enable the Ollama consumer |
| `COMFY_URL` | _(empty = disabled)_ | ComfyUI upstream; set to enable the ComfyUI consumer |
| `UNLOAD_TIMEOUT` | `60s` | wait for Ollama to unload |
| `JOB_TIMEOUT` | `15m` | wait for ComfyUI job |
| `LLM_WAIT_TIMEOUT` | `10m` | max time an LLM request waits for the lock before 503 (wait mode) |
| `LLM_BUSY_MODE` | `wait` | `wait` = hold blocked LLM requests; `reject` = fail them immediately |
| `LLM_BUSY_STATUS` | `503` | HTTP status for rejected LLM requests in reject mode (400599, e.g. 429) |
| `BUSY_RETRY_AFTER` | `30` | seconds sent as `Retry-After` on busy responses (both modes) |
| `WARM_MODEL` | `` | optional model to reload after an image job |
| `LOGLEVEL` | `warn` | `info` logs every request (colored arrows in text mode), `debug` adds lock transitions. `LOG_LEVEL` is accepted as an alias |
| `LOG_FORMAT` | `text` | `json` for structured JSON logs |
| `LOG_FILE` | `` | append logs to this file instead of stderr (useful as a service) |
| `UNLOAD_POLL_INTERVAL` | `500ms` | `/api/ps` poll interval while unloading |
| `HISTORY_POLL_INTERVAL` | `1s` | `/history/<id>` poll interval while a job runs |
| `PROBE_TIMEOUT` | `5s` | startup probe of both upstreams |
| `FREE_TIMEOUT` | `30s` | `POST /free` call after an image job |
| `WARM_TIMEOUT` | `2m` | warm-model reload after an image job |
| `SHUTDOWN_TIMEOUT` | `10s` | graceful shutdown on SIGINT/SIGTERM |
| `BACKOFF_INITIAL` | `1s` | first retry wait when an upstream refuses a connection |
| `BACKOFF_MAX` | `60s` | cap for the exponential retry backoff |
| `PROMPT_CAPTURE_LIMIT` | `65536` | bytes of the `/prompt` response buffered to find `prompt_id` (pass-through is unaffected) |
| `AUTO_UPDATE` | `true` | poll the Gitea releases API for signed updates |
| `UPDATE_INTERVAL` | `6h` | auto-update check interval |
| `UPDATE_REPO` | `https://git.rambossek.at/PUBLIC/gpu-turnstile` | repository to check for releases |
| `UPDATE_ASSET` | `gpu-turnstile.exe` | release asset to download |
Startup fails fast on unparsable values and when neither consumer URL is
set. Enabled upstreams are probed once at start (`/api/version`,
`/system_stats`); failure is logged, not fatal.
## Native deployment (Windows and Linux)
The binary runs natively on Windows (the current primary deployment) and on
Linux with systemd (the future GPU server), as well as in Docker.
Service management is the same on both platforms:
`gpu-turnstile --install-service [-config path]` registers and starts an
auto-start service; `--remove-service` stops and unregisters it (both need
an elevated/root shell). The legacy form `gpu-turnstile service
install|remove` does the same thing.
### Windows
- `--install-service` registers a Windows service; recovery actions restart
it 5 s after any failure.
- **Layout**: install to `C:\Program Files\gpu-turnstile\` (exe plus
`gpu-turnstile.env`); logs belong in `C:\ProgramData\gpu-turnstile\` via
`LOG_FILE`. The service must be able to write its install directory for
self-updates — Program Files is writable by LocalSystem and admins, which
is why running as the default `LocalSystem` account is the simple choice.
- **Account**: the default `LocalSystem` works out of the box. For least
privilege, create the service with the virtual account
`NT SERVICE\gpu-turnstile` and grant it write access to the install and
log directories only (no network logon, no user profile).
- Use a config file (above) for the service — Windows services have no
convenient environment. Logs go to `LOG_FILE` since there is no console.
### Linux (systemd)
- `--install-service` writes `/etc/systemd/system/gpu-turnstile.service`
with `ExecStart` pointing at the current executable and the `-config`
file, then runs `systemctl daemon-reload` and `enable --now`. The unit
runs as root (it must be able to overwrite its own binary for
self-updates); harden with `ProtectSystem=strict` plus a writable
`ReadWritePaths` if desired.
- The unit is `Type=notify`: the binary sends `READY=1` via
`github.com/coreos/go-systemd` only after the listeners are bound, so
`systemctl start` blocks until the proxy accepts connections. A 30 s
watchdog (`WatchdogSec=`) is pinged as long as the process runs; three
missed pings make systemd restart it. `STOPPING=1` is sent on shutdown.
All notify calls are no-ops when `NOTIFY_SOCKET` is unset (containers,
interactive shells), and the whole integration is Linux-only — Windows
builds carry no-op stubs.
- Logs go to the journal (`journalctl -u gpu-turnstile`) or to `LOG_FILE`.
- **Auto-update** works the same as on Windows: `Restart=on-failure` with
`RestartSec=5s` brings up the staged binary after the updater exits with
code 3.
- **Auto-update**: on startup and every `UPDATE_INTERVAL`, the binary
checks `UPDATE_REPO`'s latest release; if its tag is a newer `vX.Y.Z`,
it downloads `UPDATE_ASSET` plus its `.sig` (and `.sha256` when present)
and verifies an Ed25519 signature against the public key embedded in
`internal/update/pubkey.go`. A verified binary is swapped in next to the
running exe (rename-aside, allowed on Windows), and once the GPU lock is
idle the process exits with code 3 so the service recovery restarts it
on the new version. Interactive runs only log "restart to apply".
`dev` builds and builds without an embedded public key never update.
- **Signing setup (one time)**: `openssl genpkey -algorithm ed25519 -out
private.pem`; `openssl pkey -in private.pem -pubout -out public.pem`.
Private key → repo secret `RELEASE_SIGNING_KEY`; public key → committed into
`internal/update/pubkey.go`. CI signs release binaries with
`openssl pkeyutl -sign -rawin`.
## Observability
- `GET /healthz` on both listeners: 200 with JSON
`{"state":"idle|llm|image","llm_inflight":N,"image_pending":B}`.
- `GET /metrics` on both listeners: Prometheus text format, no external
dependency needed:
`gpu_turnstile_state{state="…"} 1`, `gpu_turnstile_llm_inflight`,
`gpu_turnstile_image_jobs_total`, `gpu_turnstile_lock_wait_seconds`
(histogram, label `kind="llm|image"`), `gpu_turnstile_unload_seconds`.
- Structured logs (`log/slog`, JSON when `LOG_FORMAT=json`), one line per
state transition and per image job phase with `prompt_id`. Startup logs
the version and every setting (visible even at the default `warn`
level). With `LOGLEVEL=info` or `debug`, every request logs a `-->`
incoming line and a `<--` response line with status and duration —
ANSI-colored (cyan incoming; green/yellow/red by status class) in text
mode, which renders in `docker compose logs` on Windows Terminal. Set
`NO_COLOR` to disable colors.
## Edge cases to handle
- Client disconnects while streaming an Ollama response: request context is
cancelled, proxy aborts upstream, in-flight counter still decrements.
- Client disconnects while waiting for the lock: removed from wait, no
counter change.
- ComfyUI job finishes but `/history` never shows it (e.g. ComfyUI restarted):
`JOB_TIMEOUT` releases the lock; log at warn.
- Ollama unreachable during unload: continue with the image job; the whole
point is not to block users on a misbehaving neighbour.
- Upstream unreachable while proxying (connection refused, dial timeout,
DNS failure, TLS handshake error): retry with exponential backoff —
`BACKOFF_INITIAL`, doubling per attempt, capped at `BACKOFF_MAX` — until
the upstream answers or the client disconnects. These are safe to retry:
the request never reached the upstream application. 5xx responses are
retried the same way, but only when the request body can be replayed
(GETs, or bodies with `GetBody`); streamed POSTs are never replayed to
avoid duplicate work such as a double-enqueued ComfyUI prompt.
- `POST /prompt` with a body that ComfyUI rejects (400): lock released
immediately, body passed back.
- Websocket `/ws` connections are long-lived and never take the lock.
- The Ollama OpenAI-compatible endpoints stream SSE; the proxy must not buffer.
## Repository layout
```
gpu-turnstile/
cmd/gpu-turnstile/main.go # wiring, config, listeners, service + updater
internal/lock/lock.go # two-mode lock + tests
internal/ollama/client.go # ps / unload / warm
internal/comfy/client.go # history poll / free
internal/proxy/ # handlers for both listeners
internal/metrics/ # Prometheus exposition
internal/config/ # env + .env file configuration
internal/update/ # signed auto-updater (public key in pubkey.go)
internal/service/ # Windows SCM + Linux systemd (notify/watchdog) integration
Dockerfile
.gitea/workflows/ci.yml
README.md
SPEC.md # this file
```
`main.go` from the first prototype (ComfyUI-only) is the starting point for
`internal/comfy` and the `/prompt` handler; the lock and the Ollama listener
are new.
## Testing
- `internal/lock`: table tests plus a race test (`go test -race`) with
goroutines: image waits for LLMs to drain; new LLMs block while image is
pending; FIFO for images; context cancellation removes waiters.
- `internal/proxy`: `httptest.Server` fakes for Ollama (`/api/ps`,
`/api/generate`) and ComfyUI (`/prompt`, `/history/:id`, `/free`); assert
the call sequence for one image job and that a concurrent `/api/chat` is
held until `/free` was called.
- Streaming test: fake Ollama emits chunks with delays; assert the client
receives the first chunk before the last is sent (no buffering).
- `internal/config`: env-file parsing, precedence, fail-fast values.
- `internal/update`: fake Gitea releases API; staged update happy path,
tampered signature rejected, older versions and dev builds skipped.
## Build and CI
- Go 1.23+, two external dependencies: `golang.org/x/sys` (Windows service
integration) and `github.com/coreos/go-systemd` (systemd notify/watchdog,
Linux build only). `CGO_ENABLED=0`,
`-ldflags="-s -w"`, version from `git describe` injected via
`-X main.version=`.
- Dockerfile: multi-stage, final image `gcr.io/distroless/static` (or
`scratch`), non-root user, `EXPOSE 8188 11434`,
`ENTRYPOINT ["/gpu-turnstile"]`.
- `.gitea/workflows/ci.yml` (Gitea Actions):
1. on every push: `go vet`, `go test -race ./...`, `golangci-lint` if
available in the runner image
2. on a version tag only (`vX.Y.Z`, enforced): build the image with buildx
and push it to the Gitea registry
`git.rambossek.at/<owner>/gpu-turnstile` tagged `:<tag>` and `:latest`
(the repository path is lowercased in the workflow; Docker registry
names must be lowercase).
Login uses the repo secret `REGISTRY_TOKEN` (an access token with
`write:package` scope) because the automatic `GITEA_TOKEN` cannot push
packages; the username is just `gitea.actor`.
3. on a version tag: also build the Windows binary, sign it with OpenSSL
(`RELEASE_SIGNING_KEY` secret), and attach `gpu-turnstile.exe`, `.sig` and
`.sha256` to a Gitea release for the auto-updater.
- Release: a git tag `vX.Y.Z` produces the versioned image and the signed
Windows binary; the Open WebUI compose pins that tag. No images or
binaries are built from branches.
## Deployment (target)
```yaml
gpu-turnstile:
image: git.rambossek.at/<owner>/gpu-turnstile:v0.1.0 # owner lowercased, e.g. "public"
environment:
OLLAMA_URL: http://<workstation-ip>:11435
COMFY_URL: http://<workstation-ip>:8189
networks: [internal]
```
LiteLLM `api_base` → `http://gpu-turnstile:11434`; Open WebUI
`COMFYUI_BASE_URL` → `http://gpu-turnstile:8188`. Nothing else talks to the
workstation directly.
## Open questions
- Should embedding requests (`/api/embed`, `/v1/embeddings`) count as LLM
traffic for the lock? They do in this spec (they hold VRAM); reconsider if
RAG indexing starves image jobs for too long.
- Whether to add a `POST /gpu-turnstile/release` admin endpoint to force-reset
the lock without restarting. Cheap to add; decide once it's been stuck once.