Rust CLI (edition 2024) for launching vLLM/SGLang inference containers across a DGX Spark cluster via SSH (russh). Docker default, tmux alternative.
| Action | Command |
|---|---|
| Build | cargo build |
| All gates | make check (fmt → clippy → test → ≤500 lines) |
| Dry-run | cargo run -- -d serve --recipe deepseek-v4-flash |
| Tests | cargo test (65, all passing) |
| l10n | locales/{en,ru,es,it,fr,de}/main.ftl — Fluent FTL files |
See DEVELOPMENT.md for architecture, module layout, and dev workflow.
serve/stop/logs/health/doctor/exec/power/tmux/init-host-keys
Cluster: exact name, prefix (4→4nodes-switch), or auto (smallest with NCCL + matching required_nodes).
serve --solo overrides cluster selection: finds the first free node across
all clusters and runs one single-node container there (no --nnodes/--tp/
--master-addr flags — the engine defaults to single-node). --no-solo
forces multi-node even if the recipe sets solo = true. A recipe can also
set solo = true as the default.
serve --force skips the occupancy check during cluster selection —
occupied nodes are kept in the available set (reachable is still required).
Use to run a lightweight test recipe alongside a live serve, or to force onto
a busy node. Dangerous for GPU recipes (OOM, port conflicts); the operator is
responsible for coexistence.
⚠️ Cluster may be serving live traffic. A model (often the one serving this very agent) may be running on the cluster at any time. Before running
stop,power off, orpower switch, ALWAYS first runhealthand confirm with the user that the cluster is not serving before proceeding. Do NOT assume the cluster is idle — a straystop/power offhas killed running agents mid-task before.logs,health,doctor, and dry-runs (-d) are always safe.
recipes/<name>/recipe.toml)engine = "vllm" # or "sglang"
docker_image = "img:tag"
model = "org/model"
port = 30000 # default
required_nodes = 2 # optional; also caps the launch set (N nodes, not all)
solo = false # optional; single-node on first free node, no dist flags
tensor_parallel_size = 2
pipeline_parallel_size = 1 # vLLM only, 0 = auto
distributed_backend = "mp" # or "ray"
shm_size = "64gb" # optional, only set when non-empty
entrypoint = ["vllm", "serve"] # optional, after image
docker_image_dir = "glm52-nf3-hybrid" # optional; build dir under docker-images/ (default: recipe name)
before_serve = [{ command = "echo", on_failure = "abort" }]
after_stop = [{ script = "restore_dgx_services" }] # runs after `sm121 stop`
args = ["--kv-cache-dtype", "fp8"]
[[extra_mounts]] # extra bind-mounts for `docker run -v`
alias = "jit_cache" # resolves via [mount_aliases] in config.toml; wins over `host`
host = "~/.cache/jit" # fallback default if alias absent; `~` expanded to ssh_user home
container = "/root/.cache/jit" # container-side target (required)
read_only = false # optional, default false (adds :ro)
env = "XDG_CACHE_HOME" # optional: injects -e <name>=<container path>
# Model path reference (mutually exclusive with alias/host): resolves at
# serve time, per node, from the HF cache — refs/main → latest snapshot, so
# the path survives `huggingface-cli download` updates with no fragile
# symlink. `container` is the placeholder name (e.g. `mtp_draft`) that the
# recipe references as `{{mtp_draft}}` in args/env. The launcher substitutes
# the resolved **container-side** HF cache path per-node — the host cache-dir
# prefix (e.g. `/home/<user>/.cache/huggingface`) is rewritten to the
# container mount target `/root/.cache/huggingface` (no bind-mount — the HF
# cache is already mounted there, so symlinks resolve correctly).
# Absent subfolder → serve aborts with a hint to `huggingface-cli download <repo>`.
[[extra_mounts]]
repo = "aidendle94/GLM-5.2-Hybrid-FP8-MXPF4"
subfolder = "mtp-draft" # optional; omit = whole snapshot dir
container = "mtp_draft"
[mods]
commands = [ # run *inside* container before engine
"pip install flash-attn",
{ command = "./patch.sh", on_failure = "warn" },
]
[env]
KEY = "val" # overrides launcher defaults
[build.versions] # optional; overrides pins in docker-images/<dir>/versions.env
VLLM_COMMIT = "00907fc..." # recipe wins over the image's pin; folded into build checksum
Cluster-driven: NCCL_IB_DISABLE/HCA/SOCKET_IFNAME/GID_INDEX, GLOO_/TP_SOCKET_IFNAME, MN_IF_NAME, UCX_NET_DEVICES, OMPI_MCA_btl_tcp_if_include
Defaults: OMP_NUM_THREADS=4, NCCL_IGNORE_CPU_AFFINITY=1, NCCL_NET=IB, NCCL_DEBUG=WARN
Engine IP: VLLM_HOST_IP / SGLANG_WORKER_IP
Head: VLLM_LOGGING_COLOR=1, TERM=xterm-256color, -p <port>:<port>
Ray: RAY_ADDRESS/PORT/NODE_IP_ADDRESS/OVERRIDE_NODE_IP_ADDRESS
Recipe [env] wins (last wins in -e).
Mods run inside the container before the engine process via entrypoint
wrapping. When [mods] is present, the recipe must also set entrypoint
(the known process to exec at the end). Same on_failure semantics as
before_serve (default: abort). On failure the container exits; configure
docker run --restart externally to restart on crash.
Implementation: --entrypoint sh image -c 'mods && exec <original entrypoint>'
Host scripts under host-scripts/ are embedded at compile time
(include_str! in src/builtin_scripts.rs) and can be referenced by
alias from any before_serve / after_stop list. The launcher uploads
scp from the operator's machine.Entry shape (untagged enum, three forms):
before_serve = [
"sudo nvidia-smi -lgc", # bare string = raw shell command
{ command = "echo hi", on_failure = "warn" }, # raw command + on_failure
{ script = "stop_dgx_services" }, # built-in alias
{ script = "stop_dgx_services", on_failure = "warn" },
]
A bare string is always a raw command (today's behavior, unchanged); a
built-in is referenced only via { script = "<alias>" }. Unknown aliases
error at resolution time with the list of known ones.
Built-in aliases:
| Alias | File | Purpose |
|---|---|---|
stop_dgx_services |
host-scripts/stop-dgx-services.sh |
Stop non-essential services on a DGX node (frees unified memory) |
restore_dgx_services |
host-scripts/restore-dgx-services.sh |
Restore services stopped by stop_dgx_services |
To add a built-in: drop the .sh into host-scripts/, add an
include_str! + BuiltinScript entry in src/builtin_scripts.rs, document
the alias here. Scripts stay diffable / shellcheck-able as real files.
--tensor-parallel-size, --pipeline-parallel-size, --nnodes, --node-rank, --master-addr, --master-port, --host, --port, --headless (workers)--tp, --nnodes, --node-rank, --dist-init-addr, --host, --port--distributed-executor-backend (ray only, mp is auto-detected)A recipe's docker_image is built on demand from docker-images/<docker_image_dir>/
(default <dir> = recipe name). sm121 serve --build-node <n> (or the
standalone sm121 build) uploads the dir to a node, runs bash build.sh in a
tmux session, and stamps a sm121.checksum label; later serves skip the build
when the label matches a recursive SHA-256 of the dir.
Pinned builds (docker-images/<dir>/versions.env): every build input
(CUDA base, torch/NCCL/flashinfer/vLLM fork+commit, GPU arch, …) is a pinned
KEY=VAL. build.sh is a generic driver — it forwards every pin in
versions.env as a --build-arg to the Dockerfile (no hardcoded variable
list). Add a pin to versions.env and it is picked up automatically.
locks/ holds --require-hashes lockfiles; checksums/ holds verified
out-of-band downloads (e.g. tiktoken encodings). See
docker-images/glm52-nf3-hybrid/ for the reference cu130 / aarch64 / sm_121a
stack; docker-images/solar-open2-nvfp4/ is the same stack minus the b12x
suite (stock vLLM serve).
Recipe overrides ([build.versions]): a recipe may override any pin
without editing the image dir. The launcher merges recipe pins over the
image's versions.env (recipe wins), writes the merged file to the node, and
folds the overrides into the checksum so a pin change triggers a rebuild.
Keys must match versions.env names the Dockerfile declares as ARG.
[build.versions]
VLLM_COMMIT = "00907fc9b982f973808a0193ad0f8c61fbb62854" # bump fork commit for this recipe only
TORCH_VERSION = "2.11.0"
A recipe may declare [composed_model] to combine multiple HF repos into a
single model directory at serve time — e.g. a base checkpoint + an expert
overlay — without mutating the HF cache. The launcher builds a /tmp dir
per-node with symlinks into the HF cache (container-side absolute paths) +
generated files, bind-mounts it at mount, and rewrites model to that path.
Symlinks point to /root/.cache/huggingface/... (the container-side HF cache
mount), not the host-side path. They are dangling on the host but resolve
correctly inside the container where the HF cache is mounted at that exact
path — avoiding the host↔container mount-root mismatch. Later sources win
(overwrite earlier symlinks), so order matters for overlays.
[composed_model]
mount = "/root/model" # container-side target; `model` is rewritten to this
[[composed_model.sources]] # symlinked into the composed dir (later wins)
repo = "aidendle94/GLM-5.2-MXFP4-Experts-GPTQ" # base: config, weights, tokenizer
# (no glob → whole hierarchy symlinked recursively, incl. subdirs)
[[composed_model.sources]]
repo = "aidendle94/GLM-5.2-NF4-Lloyd-Experts-GPTQ" # overlay: Lloyd NF4 experts
glob = "L*.safetensors" # only expert weight files (glob, may include / for subdirs)
[[composed_model.files]] # generated real files (not symlinks)
name = "nf4_layers.json"
content = '{"layers":[3,4,...,77]}'
With no glob, the entire snapshot hierarchy is symlinked recursively
(every file in every subdir, as individual symlinks with real parent dirs) —
so a later source can overlay individual files at any path. With a glob,
only matching entries are symlinked (one level; / allowed for a specific
subdir, e.g. grids/*.json) and the directory structure is preserved.
Allowed glob characters: alphanumeric, * ? . _ - /.
The composed dir is cleaned up automatically on sm121 stop.
ssh_user = "u"
ssh_key_path = "/path" # PathBuf
[[clusters]]
name = "c"
master_ib_ip = "10.0.0.1"
nodes = [{ name = "n", ssh_ip = "...", ib_ip = "...", rank = 0, entity = "switch.n" }]
extra_entities = ["switch.network"] # cluster-level HA entities
[nccl."c"]
ib_hca = "..."
socket_ifname = "..."
ib_gid_index = 3
ib_disable = 0
[home_assistant]
url = "..."
token = "..."
shutdown_delay_seconds = 30
[exec_aliases]
name = "command"
[mount_aliases] # host paths referenced by name from recipe [[extra_mounts]]
jit_cache = "/mnt/nas/ai/jit" # alias wins over recipe `host`; lets operators repoint mounts site-wide
hf_cache = "/mnt/nas/ai/huggingface"
[before_serve."c"]
commands = ["cmd", { command = "cmd", on_failure = "warn" }]
off: SSH shutdown → wait → HA turn_off per-node entities + cluster extrason: HA turn_on (no SSH, requires HA config)switch --from <src> --to <tgt>: disable nodes/extras unique to from, enable all in tofluent-i18n crate, auto-detect via set_locale(None). FTL in locales/.
make check-lines); extract submodules when a file approaches the limit#![deny(clippy::wildcard_imports)] — no use foo::*;#[allow(...)] attributes. If the only viable fix is an allow attribute, consult the user for guidance.