--install-service now registers the service under NT SERVICE\gpu-turnstile (low-privilege, per-service, no password) and grants it modify access to the install dir (for self-updates) and the LOG_FILE dir, plus read access to an external config file. Grants run after CreateService because the virtual account's SID does not exist before registration; a failed grant rolls back the registration.
360 lines
18 KiB
Markdown
360 lines
18 KiB
Markdown
# gpu-turnstile — GPU arbitration proxy for Ollama + ComfyUI
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## Problem
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One consumer GPU (RTX 5080, 16 GB) is shared by an LLM server (Ollama) and an
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image generator (ComfyUI). Both assume they own the card. When both hold models
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at once, the NVIDIA Windows driver falls back to system memory and everything
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becomes very slow; on Linux it would OOM instead.
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## Goal
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A single Go binary that sits in front of **both** services and guarantees that
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at any moment the GPU is in exactly one of three states:
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- `idle` — nothing in flight
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- `llm` — N ≥ 1 Ollama inference requests in flight (concurrency allowed)
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- `image` — exactly one ComfyUI job in flight, Ollama models unloaded
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Clients (LiteLLM, Open WebUI, n8n) point at gpu-turnstile instead of at the
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services. gpu-turnstile is transparent for everything that does not touch the
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GPU.
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## Non-goals
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- Not a scheduler across multiple GPUs or hosts. One lock, one card.
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- No auth, TLS, rate limiting. Runs on an internal network behind Traefik or a
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Docker bridge.
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- No request rewriting, caching, or protocol translation.
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- No persistence. Restart = idle state.
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## Architecture
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```
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LiteLLM / Open WebUI ──► :11434 ─┐ ┌─► Ollama :11435
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├── gpu-turnstile (1 lock) ──┤
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Open WebUI / n8n ────► :8188 ───┘ └─► ComfyUI :8189
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```
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gpu-turnstile listens on the ports the services normally use; the actual
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services run one port higher. Two listeners, one process, one lock. Each
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listener is an `httputil.ReverseProxy` to its upstream. Websocket upgrades
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(ComfyUI `/ws`) and streaming bodies (Ollama NDJSON / SSE) must pass through
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unbuffered (`FlushInterval = -1`).
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### Modes of operation
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Each GPU consumer is enabled by setting its URL and disabled by leaving it
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empty — no separate flags. At least one URL must be set; a disabled
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consumer gets no listener, no startup probe, and no lock participation:
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- **Both set** (default deployment): full arbitration as described below.
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- **Only `OLLAMA_URL`**: pure pass-through for Ollama; the LLM lock never
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blocks since no image jobs can arrive.
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- **Only `COMFY_URL`**: image jobs are tracked and ComfyUI's VRAM is freed
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afterwards, but the Ollama unload and warm-reload steps are skipped.
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- Future consumers (e.g. detecting a local game holding VRAM) plug into the
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same lock the same way: enabled by their config knob, excluded when
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absent.
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### Lock semantics
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Two-mode lock with image priority (writer-preferring RW lock, where "readers"
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are LLM requests and the single "writer" is an image job):
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- **LLM request** (see endpoint list): `AcquireLLM()` blocks while state is
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`image` **or while an image job is waiting**. Then state := `llm`, n++.
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On completion (response fully written, including streamed bodies, or client
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disconnect) n--; if n == 0 state := `idle`.
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`LLM_BUSY_MODE` selects what a blocked LLM request sees: `wait` (default)
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hangs until the lock is free or `LLM_WAIT_TIMEOUT` expires (then 503 +
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`Retry-After`); `reject` answers immediately with `LLM_BUSY_STATUS`
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(default 503; 429 works too) + `Retry-After: BUSY_RETRY_AFTER`, which
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routers like LiteLLM honor for cooldowns/retries.
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- **Image job**: `AcquireImage()` marks "image pending" (so no new LLM
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requests start), waits until n == 0, sets state := `image`. Released after
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the ComfyUI job finished and models were freed.
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- Concurrent image jobs queue FIFO behind each other.
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- All waits are context-aware: a client that disconnects while waiting is
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removed from the queue.
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### Endpoint classification
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Ollama listener (`:11434` → `OLLAMA_URL`):
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| Path | Handling |
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|---|---|
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| `POST /api/generate`, `/api/chat`, `/api/embed`, `/api/embeddings` | LLM lock |
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| `POST /v1/chat/completions`, `/v1/completions`, `/v1/embeddings` | LLM lock |
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| everything else (`/api/tags`, `/api/ps`, `/api/show`, `/api/version`, `/v1/models`, `/api/pull`, …) | pass-through, no lock |
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ComfyUI listener (`:8188` → `COMFY_URL`):
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| Path | Handling |
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|---|---|
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| `POST /prompt` | image lock (see flow below) |
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| everything else (`/ws`, `/history/*`, `/view`, `/system_stats`, `/queue`, `/free`, …) | pass-through, no lock |
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### Image job flow (`POST /prompt`)
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1. `AcquireImage()`.
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2. Unload Ollama (skipped when `OLLAMA_URL` is unset): `GET /api/ps`; for
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each model `POST /api/generate
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{"model":M,"keep_alive":0}`; if that returns non-2xx (embedding-only
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models), `POST /api/embed {"model":M,"input":"x","keep_alive":0}`. Poll
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`/api/ps` every `UNLOAD_POLL_INTERVAL` (default 500 ms) until empty or
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`UNLOAD_TIMEOUT`. On timeout: log and
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continue (degrade, don't fail the user's request).
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3. Forward the original request body to ComfyUI `/prompt`, return status,
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headers and body to the caller unchanged, flush.
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4. If the response is 200 and contains `prompt_id`: in a goroutine, poll
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`GET /history/<prompt_id>` every `HISTORY_POLL_INTERVAL` (default 1 s)
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until the entry has
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`status.completed == true`, `status.status_str == "error"`, or
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`JOB_TIMEOUT`. Then `POST /free {"unload_models":true,"free_memory":true}`.
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Then release the image lock.
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5. If the response is not 200 or has no `prompt_id`: release the lock
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immediately.
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Optional (config flag `WARM_MODEL`): after releasing the image lock, if the
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state is `idle`, send `POST /api/generate {"model":WARM_MODEL,"keep_alive":-1}`
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with empty prompt to reload the chat model so the next chat doesn't pay the
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load time. Off by default.
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## Configuration (env)
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Configuration comes from environment variables and/or an `.env`-style
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config file (`KEY=VALUE` lines, `#` comments). File lookup order:
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`-config <path>` flag, then `GPU_TURNSTILE_CONFIG`, then
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`gpu-turnstile.env` next to the executable. Process environment variables
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override file values. A missing file is fine; a malformed one is fatal.
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| Var | Default | Meaning |
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|---|---|---|
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| `LISTEN_OLLAMA` | `:11434` | Ollama-facing listener |
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| `LISTEN_COMFY` | `:8188` | ComfyUI-facing listener |
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| `OLLAMA_URL` | _(empty = disabled)_ | Ollama upstream; set to enable the Ollama consumer |
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| `COMFY_URL` | _(empty = disabled)_ | ComfyUI upstream; set to enable the ComfyUI consumer |
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| `UNLOAD_TIMEOUT` | `60s` | wait for Ollama to unload |
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| `JOB_TIMEOUT` | `15m` | wait for ComfyUI job |
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| `LLM_WAIT_TIMEOUT` | `10m` | max time an LLM request waits for the lock before 503 (wait mode) |
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| `LLM_BUSY_MODE` | `wait` | `wait` = hold blocked LLM requests; `reject` = fail them immediately |
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| `LLM_BUSY_STATUS` | `503` | HTTP status for rejected LLM requests in reject mode (400–599, e.g. 429) |
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| `BUSY_RETRY_AFTER` | `30` | seconds sent as `Retry-After` on busy responses (both modes) |
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| `WARM_MODEL` | `` | optional model to reload after an image job |
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| `LOGLEVEL` | `warn` | `info` logs every request (colored arrows in text mode), `debug` adds lock transitions. `LOG_LEVEL` is accepted as an alias |
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| `LOG_FORMAT` | `text` | `json` for structured JSON logs |
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| `LOG_FILE` | `` | append logs to this file instead of stderr (useful as a service) |
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| `UNLOAD_POLL_INTERVAL` | `500ms` | `/api/ps` poll interval while unloading |
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| `HISTORY_POLL_INTERVAL` | `1s` | `/history/<id>` poll interval while a job runs |
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| `PROBE_TIMEOUT` | `5s` | startup probe of both upstreams |
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| `FREE_TIMEOUT` | `30s` | `POST /free` call after an image job |
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| `WARM_TIMEOUT` | `2m` | warm-model reload after an image job |
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| `SHUTDOWN_TIMEOUT` | `10s` | graceful shutdown on SIGINT/SIGTERM |
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| `BACKOFF_INITIAL` | `1s` | first retry wait when an upstream refuses a connection |
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| `BACKOFF_MAX` | `60s` | cap for the exponential retry backoff |
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| `PROMPT_CAPTURE_LIMIT` | `65536` | bytes of the `/prompt` response buffered to find `prompt_id` (pass-through is unaffected) |
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| `AUTO_UPDATE` | `true` | poll the Gitea releases API for signed updates |
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| `UPDATE_INTERVAL` | `6h` | auto-update check interval |
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| `UPDATE_REPO` | `https://git.rambossek.at/PUBLIC/gpu-turnstile` | repository to check for releases |
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| `UPDATE_ASSET` | `gpu-turnstile.exe` | release asset to download |
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Startup fails fast on unparsable values and when neither consumer URL is
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set. Enabled upstreams are probed once at start (`/api/version`,
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`/system_stats`); failure is logged, not fatal.
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## Native deployment (Windows and Linux)
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The binary runs natively on Windows (the current primary deployment) and on
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Linux with systemd (the future GPU server), as well as in Docker.
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Service management is the same on both platforms:
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`gpu-turnstile --install-service [-config path]` registers and starts an
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auto-start service; `--remove-service` stops and unregisters it (both need
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an elevated/root shell). The legacy form `gpu-turnstile service
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install|remove` does the same thing.
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### Windows
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- `--install-service` registers a Windows service; recovery actions restart
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it 5 s after any failure.
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- **Layout**: install to `C:\Program Files\gpu-turnstile\` (exe plus
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`gpu-turnstile.env`); logs belong in `C:\ProgramData\gpu-turnstile\` via
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`LOG_FILE`.
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- **Account**: the service always runs as the virtual account
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`NT SERVICE\gpu-turnstile` — a per-service low-privilege identity the
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SCM manages (no password, automatic logon-as-a-service right, no admin
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rights, gone when the service is removed). The installer grants it
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modify access to the install directory (self-updates rewrite the exe)
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and the `LOG_FILE` directory (created if missing), plus read access to
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the config file when it lives elsewhere. The grants happen after service
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registration because the virtual account's SID only exists from that
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point on; if a grant fails the service registration is rolled back.
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- Use a config file (above) for the service — Windows services have no
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convenient environment. Logs go to `LOG_FILE` since there is no console.
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### Linux (systemd)
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- `--install-service` writes `/etc/systemd/system/gpu-turnstile.service`
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with `ExecStart` pointing at the current executable and the `-config`
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file, then runs `systemctl daemon-reload` and `enable --now`. The unit
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runs as root (it must be able to overwrite its own binary for
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self-updates); harden with `ProtectSystem=strict` plus a writable
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`ReadWritePaths` if desired.
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- The unit is `Type=notify`: the binary sends `READY=1` via
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`github.com/coreos/go-systemd` only after the listeners are bound, so
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`systemctl start` blocks until the proxy accepts connections. A 30 s
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watchdog (`WatchdogSec=`) is pinged as long as the process runs; three
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missed pings make systemd restart it. `STOPPING=1` is sent on shutdown.
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All notify calls are no-ops when `NOTIFY_SOCKET` is unset (containers,
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interactive shells), and the whole integration is Linux-only — Windows
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builds carry no-op stubs.
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- Logs go to the journal (`journalctl -u gpu-turnstile`) or to `LOG_FILE`.
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- **Auto-update** works the same as on Windows: `Restart=on-failure` with
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`RestartSec=5s` brings up the staged binary after the updater exits with
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code 3.
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- **Auto-update**: on startup and every `UPDATE_INTERVAL`, the binary
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checks `UPDATE_REPO`'s latest release; if its tag is a newer `vX.Y.Z`,
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it downloads `UPDATE_ASSET` plus its `.sig` (and `.sha256` when present)
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and verifies an Ed25519 signature against the public key embedded in
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`internal/update/pubkey.go`. A verified binary is swapped in next to the
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running exe (rename-aside, allowed on Windows), and once the GPU lock is
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idle the process exits with code 3 so the service recovery restarts it
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on the new version. Interactive runs only log "restart to apply".
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`dev` builds and builds without an embedded public key never update.
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- **Signing setup (one time)**: `openssl genpkey -algorithm ed25519 -out
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private.pem`; `openssl pkey -in private.pem -pubout -out public.pem`.
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Private key → repo secret `RELEASE_SIGNING_KEY`; public key → committed into
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`internal/update/pubkey.go`. CI signs release binaries with
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`openssl pkeyutl -sign -rawin`.
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## Observability
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- `GET /healthz` on both listeners: 200 with JSON
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`{"state":"idle|llm|image","llm_inflight":N,"image_pending":B}`.
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- `GET /metrics` on both listeners: Prometheus text format, no external
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dependency needed:
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`gpu_turnstile_state{state="…"} 1`, `gpu_turnstile_llm_inflight`,
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`gpu_turnstile_image_jobs_total`, `gpu_turnstile_lock_wait_seconds`
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(histogram, label `kind="llm|image"`), `gpu_turnstile_unload_seconds`.
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- Structured logs (`log/slog`, JSON when `LOG_FORMAT=json`), one line per
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state transition and per image job phase with `prompt_id`. Startup logs
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the version and every setting (visible even at the default `warn`
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level). With `LOGLEVEL=info` or `debug`, every request logs a `-->`
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incoming line and a `<--` response line with status and duration —
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ANSI-colored (cyan incoming; green/yellow/red by status class) in text
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mode, which renders in `docker compose logs` on Windows Terminal. Set
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`NO_COLOR` to disable colors.
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## Edge cases to handle
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- Client disconnects while streaming an Ollama response: request context is
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cancelled, proxy aborts upstream, in-flight counter still decrements.
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- Client disconnects while waiting for the lock: removed from wait, no
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counter change.
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- ComfyUI job finishes but `/history` never shows it (e.g. ComfyUI restarted):
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`JOB_TIMEOUT` releases the lock; log at warn.
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- Ollama unreachable during unload: continue with the image job; the whole
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point is not to block users on a misbehaving neighbour.
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- Upstream unreachable while proxying (connection refused, dial timeout,
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DNS failure, TLS handshake error): retry with exponential backoff —
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`BACKOFF_INITIAL`, doubling per attempt, capped at `BACKOFF_MAX` — until
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the upstream answers or the client disconnects. These are safe to retry:
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the request never reached the upstream application. 5xx responses are
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retried the same way, but only when the request body can be replayed
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(GETs, or bodies with `GetBody`); streamed POSTs are never replayed to
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avoid duplicate work such as a double-enqueued ComfyUI prompt.
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- `POST /prompt` with a body that ComfyUI rejects (400): lock released
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immediately, body passed back.
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- Websocket `/ws` connections are long-lived and never take the lock.
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- The Ollama OpenAI-compatible endpoints stream SSE; the proxy must not buffer.
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## Repository layout
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```
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gpu-turnstile/
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cmd/gpu-turnstile/main.go # wiring, config, listeners, service + updater
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internal/lock/lock.go # two-mode lock + tests
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internal/ollama/client.go # ps / unload / warm
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internal/comfy/client.go # history poll / free
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internal/proxy/ # handlers for both listeners
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internal/metrics/ # Prometheus exposition
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internal/config/ # env + .env file configuration
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internal/update/ # signed auto-updater (public key in pubkey.go)
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internal/service/ # Windows SCM + Linux systemd (notify/watchdog) integration
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Dockerfile
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.gitea/workflows/ci.yml
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README.md
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SPEC.md # this file
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```
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`main.go` from the first prototype (ComfyUI-only) is the starting point for
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`internal/comfy` and the `/prompt` handler; the lock and the Ollama listener
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are new.
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## Testing
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- `internal/lock`: table tests plus a race test (`go test -race`) with
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goroutines: image waits for LLMs to drain; new LLMs block while image is
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pending; FIFO for images; context cancellation removes waiters.
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- `internal/proxy`: `httptest.Server` fakes for Ollama (`/api/ps`,
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`/api/generate`) and ComfyUI (`/prompt`, `/history/:id`, `/free`); assert
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the call sequence for one image job and that a concurrent `/api/chat` is
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held until `/free` was called.
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- Streaming test: fake Ollama emits chunks with delays; assert the client
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receives the first chunk before the last is sent (no buffering).
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- `internal/config`: env-file parsing, precedence, fail-fast values.
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- `internal/update`: fake Gitea releases API; staged update happy path,
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tampered signature rejected, older versions and dev builds skipped.
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## Build and CI
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- Go 1.23+, two external dependencies: `golang.org/x/sys` (Windows service
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integration) and `github.com/coreos/go-systemd` (systemd notify/watchdog,
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Linux build only). `CGO_ENABLED=0`,
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`-ldflags="-s -w"`, version from `git describe` injected via
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`-X main.version=`.
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- Dockerfile: multi-stage, final image `gcr.io/distroless/static` (or
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`scratch`), non-root user, `EXPOSE 8188 11434`,
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`ENTRYPOINT ["/gpu-turnstile"]`.
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- `.gitea/workflows/ci.yml` (Gitea Actions):
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1. on every push: `go vet`, `go test -race ./...`, `golangci-lint` if
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available in the runner image
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2. on a version tag only (`vX.Y.Z`, enforced): build the image with buildx
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and push it to the Gitea registry
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`git.rambossek.at/<owner>/gpu-turnstile` tagged `:<tag>` and `:latest`
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(the repository path is lowercased in the workflow; Docker registry
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names must be lowercase).
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Login uses the repo secret `REGISTRY_TOKEN` (an access token with
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`write:package` scope) because the automatic `GITEA_TOKEN` cannot push
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packages; the username is just `gitea.actor`.
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3. on a version tag: also build the Windows binary, sign it with OpenSSL
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(`RELEASE_SIGNING_KEY` secret), and attach `gpu-turnstile.exe`, `.sig` and
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`.sha256` to a Gitea release for the auto-updater.
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- Release: a git tag `vX.Y.Z` produces the versioned image and the signed
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Windows binary; the Open WebUI compose pins that tag. No images or
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binaries are built from branches.
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## Deployment (target)
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```yaml
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gpu-turnstile:
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image: git.rambossek.at/<owner>/gpu-turnstile:v0.1.0 # owner lowercased, e.g. "public"
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environment:
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OLLAMA_URL: http://<workstation-ip>:11435
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COMFY_URL: http://<workstation-ip>:8189
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networks: [internal]
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```
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LiteLLM `api_base` → `http://gpu-turnstile:11434`; Open WebUI
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`COMFYUI_BASE_URL` → `http://gpu-turnstile:8188`. Nothing else talks to the
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workstation directly.
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## Open questions
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- Should embedding requests (`/api/embed`, `/v1/embeddings`) count as LLM
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traffic for the lock? They do in this spec (they hold VRAM); reconsider if
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RAG indexing starves image jobs for too long.
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- Whether to add a `POST /gpu-turnstile/release` admin endpoint to force-reset
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the lock without restarting. Cheap to add; decide once it's been stuck once.
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