notify.webhooks sends signed JSON or Slack-compatible messages, queued,
retried, de-duplicated hourly; ctl notify test checks each webhook.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Members' etcd speaks TLS to peers and clients with a certificate from the
cluster's authority and asks clients for one; Patroni reaches it with the
member's certificate and serves its API over TLS. A running plain-HTTP
cluster is moved with Patroni paused, so PostgreSQL serves throughout:
Patroni's lease-free keys are carried over to the new etcd.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
A new internal/clientip says who sent a request and how: the connection's
address, scheme and Host, or through a configured proxy what it forwarded.
The base URL in pages and setup scripts, isHTTPS for cookies, and the
per-address limits of auth and the sign-in forms use it. /setup scripts are
no-store.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
The admin listener answered any local process: models added, nodes
upgraded, engine keys listed, the heap dumped. /api and /debug now demand
the token the server writes 0600 to its state directory on first start;
ctl, the console and node add send it (sudo, LLMGW_ADMIN_TOKEN or
--token-file). pprof is off unless debug_pprof. admin_listen off loopback
is refused unless admin_remote. Dashboard pages, /metrics and /health are
unchanged.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Without agent_tls the control plane served plaintext h2c on every
interface, and any machine reaching it could register as any node. The
server now refuses to start that way unless agent_insecure: true, and then
binds loopback when agent_listen names only a port.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Monitor draws CPU, memory, GPUs, requests, tokens, latency, network and disk
as Braille charts over 5m/1h/24h/7d, then per node, card and model
sparklines; node and model pages have their own. History is read from
monitoring.prometheus through POST /api/v1/metrics/range, or without it
from what the console saw. The control plane serves the cluster's machines
for Prometheus http_sd at /prometheus/targets on its metrics port, and node
add installs prometheus-node-exporter.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
The control plane reads the model's shape from one GGUF header or its
config.json and lists, for every file, the best way it runs here: one card,
several of a node's (by layer for llama.cpp, tensor-parallel for vLLM),
several nodes' over one fabric (vLLM, pipeline-parallel between them), or a
CPU node; what each card holds and whether it is free now. ctl model plan
prints it; model serve takes its file and way unless told, gives a GGUF on
GPUs a GPU profile, and with --fallbacks adds the next best ways. The
console shows it per file and asks for the way and the fallback.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
A model served from the registry records its origin: repository, commit and
each file's checksum; one served before is worked out from the mirror's
record of where it fetched the file. Every mirror.update_check (6h) the
control plane asks whether those files changed there. ctl model updates
lists it, ctl model update fetches beside the old files, checks, swaps and
replaces replicas one at a time, ctl model rollback goes back. The console
shows it on Models and offers the same.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
server add gives another machine this llmgw, a certificate, the
configuration and store address, lets it into the store through Patroni, and
starts it; --vip keeps a floating address on the leader with keepalived,
following a new /leader endpoint. Nodes learn every control plane from the
leader and notice a dead one by HTTP/2 ping instead of after the kernel's
fifteen minutes. The setup, console, node and init screens are drawn full
screen in one frame: title bar, sidebar, bordered panel, key bar, dialogs.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
init --patroni user@host ... installs PostgreSQL, Patroni and etcd on the
given machines over ssh, with this one as the third etcd vote, makes the role
and database, and moves the store in use into the cluster. Each step checks
first, so it changes nothing on a cluster that is up. For a store of several
hosts the control plane publishes each member's role, state and lag from
Patroni, a stopped member as missing, prints it in ctl status, and alerts on
it. Making an administrator on PostgreSQL sent a bool to an integer column;
it sends an integer now.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
A node that cannot run the CUDA 13 build installs the same version's
CUDA 12.9 build from vLLM's GitHub release, with PyTorch's cu129 torch;
the install computes on the GPU before it counts. The build can be
chosen per node — auto, cu13, cu129, none — on the cluster page, with
ctl engine-build, or over the admin API; the control plane keeps the
choice and tells the node at once.
Refs #2.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
engine_overrides give nodes picked by GPU class, id or labels their own
engine versions; node add --disable-engine keeps one off a node; what
vLLM cannot do on a node is a warning rather than a refused node; the
CUDA requirement follows the version; a hand-named binary is no longer
replaced by an installed one.
Refs #2 (items 4 and 7).
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Stored ctl bench results reach the reconciler: requests per replica past
the measured SLO concurrency scale a model up, a replica is taken back only
if the rest stay under 70% of theirs, and among profiles of equal priority
the most measured tokens per GPU or core is tried first. ctl model target
sizes a model for a throughput against the room there is.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
A model has an owner (org, team or project). Quotas guarantee a scope
GPUs, cores and memory and may limit it; what a scope holds is summed from
its models' replicas and those beneath it. A replica within its owner's
guarantee is not taken for another scope; what is held beyond a guarantee
is borrowed and taken back for a scope within its own. A limit stops a
model before it starts, and headroom stops there too. ctl quota and ctl
model owner set them; metrics and a CapacityAtLimit alert report them.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
CPU replicas start on half the machine's CPUs, not all of them: two busy
llama.cpp servers each spinning on all 8 vCPUs fell to 0.8 tok/s apiece,
where at 4 threads they keep 5.5. llamacpp.threads sets it per node.
Inference requests can be traced over OTLP/HTTP (tracing.endpoint), with
admission, schedule and upstream spans and traceparent sent to the engine.
Security: onboarding no longer puts the cluster root in the system trust
store and removes it where it was; the mirror's mutual-TLS API can be
limited to named certificates (--api-client); init.log no longer keeps the
administrator's password; a warning when auth is off on a public listen;
the recorded actor is sanitised and sudo-aware; Ray's dashboard is off, and
the remaining engine gaps are documented.
reconciler.go and agent.go are split by topic, the status mapping of each
failure is tested, and the plan's checklist is brought up to date.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Adding a model took four steps and a YAML file — plan it, fetch it into the
mirror, write its catalog entry with a memory figure somebody estimated,
scale it — and whether it would load was found out at the end.
`llmgw ctl model serve OWNER/REPO` does it as one job in the control plane,
where the registry, the mirror, the catalog and the fleet already are:
- the registry: the GGUF file set matching --quant (Q4_K_M by default) or
--file, leaving out vision projectors and importance matrices, and naming
what the repository does have when nothing matches; gated repositories are
refused;
- the mirror: fetched at the repository's revision, with progress, and each
file's sha256 compared with what the registry published — the mirror is
the one place a corrupted download is caught once rather than loaded on
every node;
- the check: whether the nodes' llama.cpp loads the architecture, and the
memory it needs from its own header;
- the catalog, then a wait for a replica that stops early, with the reason,
when the model is parked or fits on no node;
- a smoke test: one short request to the replica, with its engine key, and
the answer and tokens per second.
ctl starts the job and prints each step as it changes; a download of hours
does not depend on the terminal. --on-demand adds the model without starting
a replica. Jobs are kept in memory until the control plane restarts.
The catalog name a repository suggests moved into the registry package, so
the mirror page and this agree on it.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Every upgrade so far has been a script of mine copying a binary to each
machine over ssh, restarting it and polling until it came back — which is
the job, but not something the product could do, and which needed ssh into
every node.
`sudo llmgw ctl upgrade VERSION` on the control plane does it. This machine
first: the release for its platform, checked against the release's
checksums, the old binary kept beside it, llmgw-server restarted, and a wait
until every node that was ready has reconnected. Then each node in turn: the
control plane tells its agent the version over the stream it already holds;
the agent fetches and checks the release itself, swaps it in with a rename,
answers, and exits with status 75 so systemd starts the new binary. Engines
keep running, as for any agent restart, and are adopted again.
A node is done when it is back on the new version, ready, with as many ready
replicas as before; one that is not within the timeout stops the run before
the next node, so a bad release reaches one machine. Nodes already on the
version are skipped, so running it again resumes.
The fetch-and-verify is one package now, shared with onboarding's idea of
what a release version looks like.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
There were no backups: docs/install.md gave a pg_dump command, and nothing
ran it. The store holds every key, person, quota and usage record, the models
added at runtime, and now the secret each engine's key is derived from; the
certificate authority's key sits in /etc/llmgw/pki beside it. Losing the disk
lost all of it.
`llmgw server backup` writes both to one archive: pg_dump's custom format, or
a VACUUM INTO snapshot for SQLite, plus /etc/llmgw. The archive holds the CA's
key, so it is 0600; the directory is listable, so the control plane — not
root — can see when the newest was written. pg_dump is given the connection
through its environment, since a DSN carries the password and a process's
arguments are readable by every user. Written beside its name and renamed,
so an interrupted backup is never the newest; the newest 14 are kept, and
nothing the command did not write is ever removed.
llmgw-backup.timer runs it nightly and catches up after downtime. The control
plane publishes the newest archive's time, and BackupTooOld fires past 26
hours — or when there has never been one. The install guide now covers
restoring, and says to copy archives off the machine, since they share its
disk.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
On the live cluster kev-0.5b — an architecture the nodes' llama.cpp did not
know — was started 155 times in eight hours, failing the same way each time,
and phi-4, which fitted on no node, logged "no placement" 250 times in two
days. Neither showed up anywhere an operator looked: the backoff never gave
up, no metric said a model was failing or unplaceable, and the one alert for
a model with nothing serving could not fire, because its series was published
only while a replica was ready.
After five failures in a row a model is parked: not placed again until its
definition changes — a new source or profile — or `llmgw ctl retry` is run.
Status, the model list and the admin API show it with its last error. The
placement warning is logged when its reason changes or every ten minutes.
A request for a parked or unplaceable model is answered at once with why,
rather than "loading; retry shortly", which a client retries forever. Each
request still clears the previous placement result and triggers a fresh
attempt, so a model that fits once room is made is not refused on a stale
answer; the router waits for that attempt, not for its full activation
window.
Metrics now cover model health (desired, ready at 0 for what should run,
consecutive start failures, parked, unplaceable), engine installs per node,
leadership, and certificate expiry read from disk at each scrape, with alerts
for each. `ctl status` counts a model against what it should have now, so an
on-demand model that was asked for and fitted nowhere no longer reads as
satisfied.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Engines listen on every address their node has, with no key. Checked on the
live cluster: from a neighbouring node, a request straight to an engine's
port was answered — past the gateway's authentication, quotas and
accounting, by anyone who could reach the node.
Each replica's engine is now started with a key and refuses requests without
it. The key is derived from the replica id with an HMAC over a secret kept
in the store, rather than stored per replica: the router has to send the
right key to replicas this process never started — adopted after a restart,
or placed by the other control plane — and a function of a shared secret
gives that without a table to keep in step. A key taken from one node opens
that replica only. The secret is made on first use and copied with the rest
of the store when moving to PostgreSQL; a new one would lock the router out
of every running engine at the moment of the move.
The key reaches llama.cpp and vLLM through their environment
(LLAMA_API_KEY, VLLM_API_KEY) rather than their command line, which every
user on the node can read; SGLang only takes it as an argument. The agent's
readiness check, the router's proxy and its metrics scrape send it, the
client's own Authorization still never reaches the engine, and `ctl bench`
fetches the key of the replica it is pointed at from the admin API.
Engines started before this keep running without a key until their replica
is next started. With no store there is nowhere to keep the secret, and
engines start without one, with a warning.
Also formats two files that went in unformatted.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
The admin listener has no login. Reaching it is meant to mean holding the
control plane, so it binds to loopback and an operator reaches it over an
ssh tunnel — and so does every page open in that operator's browser. The
API decoded JSON whatever the Content-Type said, so a page could POST a
text/plain model definition, no preflight needed. A model's profile env
reached an engine the agent runs as root, unfiltered: LD_PRELOAD in a
definition was code execution on every node. A page that rebound its own
name to 127.0.0.1 could also read pprof's heap, which holds API keys.
The admin listener now answers only when Host is an address or localhost,
refuses requests a browser marks as cross-site (Origin, Sec-Fetch-Site),
and takes changes only as application/json, which no page can send across
origins without a preflight nobody grants. ctl sends that on every change,
bodiless DELETEs included; curl and ctl are otherwise unaffected.
Profile env that changes what runs rather than how — the dynamic loader's
LD_*, PATH, Python's PYTHON* start-up variables, BASH_ENV and their like —
is refused when a model is defined, and dropped again by the engine adapter
before the process starts, whatever sent the profile. None of the live
catalog's models sets any.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
doctor checks a node alone, and every check can pass while two nodes still
cannot reach each other. ctl fabric-test A B asks B's agent for an
ib_write_bw server and A's for the client, adapter by adapter as NCCL pairs
them, one rail at a time, and grades each against its link's rate. It goes
through the agents' streams, so there is no SSH between nodes; the agent
installs perftest the first time, and names the RoCE v2 GID itself.
The result is read from perftest's table by its heading, not a column
number. Agents now list the requests they answer beyond the usual
(Register.features), and the control plane refuses a test on one too old to
answer instead of waiting minutes for it. The forwarding dispatcher carries
the new capability, and its test says so: a missing forward would have made
the command quietly unavailable in production.
Not yet run over real InfiniBand or RoCE; this cluster has neither.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
A GB200 NVL72 rack or an NVLink Switch system is a scale-up island: its
GPUs reach each other over NVLink whatever node they are in. Each GPU
now reports its fabric from nvidia-smi -q - state, status, ClusterUUID,
CliqueId, bandwidth - at registration and once a minute after, since a
fabric manager restarting drops every card out at once; and each node
reports nvidia-imex and its channels, without which the domain's GPUs
cannot share memory across nodes. A single machine's NVSwitch, which
reports a cluster of zeros, is no domain.
A replica spanning nodes is placed inside one domain first, on nodes
whose every card is joined and whose IMEX is up, and its shards are
told NCCL_MNNVL_ENABLE=1; InfiniBand is the fallback.
/admin/nvlink draws each domain as a rack - the NVLink Switch band on
top, light running down a backplane, trays of GPU chips that glow when
joined, pulse red when not, turn amber on degraded bandwidth - and
lists what keeps a tray out. A node's page shows its GPU-by-GPU NVLink
matrix, each card's NUMA node and nearest adapter, and its domain and
IMEX. doctor checks joining, bandwidth, IMEX and its channel; metrics
llmgw_gpu_nvlink_joined and llmgw_imex_up; /api/v1/nvlink.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
The control plane asks one node on each physical fabric to run
ibnetdiscover every five minutes and parses the text itself, so a
format the parser has not met is a control plane upgrade, not one on
every node. From the map it works out the switch tiers (leaf, spine,
core, by distance from the adapters), which adapter is which node's,
which cables trained below the rate the rest of their kind run at, and
whether the rails line up: every node's Nth adapter on its own leaf.
A page per fabric (/admin/fabrics) draws it: switches in their tiers,
adapters fanned out under their leaves, cables coloured by rate and
bundled, degraded ones marching red with a marker, and the cluster's
own adapters live - down ports glowing red, and particles running each
cable as fast as its adapter is sending and receiving, from the
counters. It zooms, pans, fades what a hovered switch or adapter does
not touch, opens a panel of detail on a click, colours by rail, finds a
node, and refreshes every fifteen seconds. The data is also at
/api/v1/fabrics/{id}/topology.
Placement reads the map: a replica spanning nodes takes nodes of one
leaf together when it can, and nodes whose cable trained short last.
Static assets are named by their content, as the stylesheet already
was.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
The nodes are CPU machines, and nothing measured how busy one was: the
heartbeat carried GPU memory and disk, and llmgw_node_memory_bytes is the
total. The agent now reads /proc between heartbeats - CPU across all
cores, load averages, memory used and available, and each engine's
process group's cores and resident memory - and sends it with the
heartbeat. Nothing new runs on the nodes and Prometheus needs no new
target: the control plane exports it with the rest of the fleet, as
llmgw_node_cpu_utilization_percent, llmgw_node_cpus, llmgw_node_load,
llmgw_node_memory_used_bytes, llmgw_node_memory_available_bytes,
llmgw_shard_cpu_cores and llmgw_shard_memory_bytes. A measurement more
than a minute old is left out rather than repeated.
The cluster page's node table shows CPU and RAM as bars, and each node
links to a page of its own: current CPU, RAM, load and disk, the engines
on it with their cores and memory, and an hour of CPU, RAM, load,
per-model cores and memory and queue depth from Prometheus. It refreshes
in place.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
kev-0.5b declared architecture "ggmlc", which llama.cpp does not know.
It was fetched, catalogued and placed, and failed on every node — while
the answer was in the first kilobytes of the file.
internal/gguf reads a GGUF header (v1-v3) up to general.architecture,
over HTTP with a Range request, and judges it against the architectures
llama.cpp b10991 lists in LLM_ARCH_NAMES (152, copied from the source at
that tag); a vision projector is not a model on its own. An unknown
build is not refused, only not vouched for, and a header that cannot be
fetched does not refuse anything.
Checked in three places: the registry listing (from the architecture
Hugging Face reports with expand[]=gguf, so one request per repository)
shows it and withholds the fetch button; a fetch reads the header and
refuses unless "fetch anyway"; and the model service refuses to add
such a model, which covers the serve form and ctl model add.
Tried on real files: the mirror's qwen2.5-1.5b (qwen2) and bge-m3
(bert), and Qwen2.5-0.5B on Hugging Face through its redirect.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
`llmgw server init` does what install.md's steps 2 and 3 asked of the
operator: the llmgw user and directories, a certificate authority, the
control plane's certificate for every address the machine has, a
configuration, the default project, an administrator with a generated
password, and the systemd unit — then starts it and waits for /health.
Every step looks before it acts, so a second run changes nothing, and
--host later reissues the certificate with the old names kept. It never
overwrites server.yaml or an authority, and leaves alone certificates
issued by an authority kept on another machine.
The configuration install.md showed could not start: an empty catalog
without control.enabled is refused as having nothing to serve. The one
init writes sets it, and a test holds that.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Seeing what a node did meant ssh through a jump host, to a machine whose
address nobody remembers, to read a journal only root may open. When an
engine install failed on a new node today, the reason was one line — and it
was four steps away from the page that said the install had failed.
Each node's row on the cluster page now links to its logs: the agent's own,
and every engine running there, chosen from the list the node itself sends.
The page can follow, refreshing every five seconds, and is on both the admin
listener and /admin. `llmgw ctl logs NODE [--source SHARD] [-n N]` reads the
same.
They travel over the stream the agent already holds, so they need nothing
the control plane does not already have: a request goes down, the lines come
back, and a reply that does not come in ten seconds is an agent too old to
answer. The agent keeps its last 2000 lines in memory as well as writing them
wherever it did before; the engines' last few hundred lines were already kept
and sent only when one crashed.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
A node ran whatever llama-server somebody had once unpacked on it. Onboarding
checked an engine only when told its path, installed none, and a node with
nothing on it registered as ready. The one time that went wrong it went wrong
invisibly: the binary was there, executable, and could not start for want of
libgomp1, while the node reported healthy.
The control plane now says which engines every node has, at which version —
`engines:` in server.yaml, defaulting to the llama.cpp build this release was
checked against — and each agent converges on it. What only the node can
know, the node works out: the build for its processor and driver (CUDA with
its runtime when an NVIDIA driver is loaded, CPU otherwise), the OS packages
that build needs from its own package sources, and whether the result runs.
Every archive is checked against the sha256 GitHub publishes for it and
unpacked refusing any path or link that leaves the install directory. ldd
names a missing library outright; running `--version` proves the rest. Only
then is a directory marked installed, and it is checked again every ten
minutes, because an unrelated upgrade can remove a library.
An engine is reported only once installed and seen to run, or when the
agent's configuration names it on purpose — never because something happened
to be on PATH. The agent now says when it has probed, so an empty list means
"has none" rather than "too old to say": a node rebuilt from nothing is no
longer a candidate for every model at the moment it can run none of them.
Placement's refusal carries the node's own words, "installing: downloading
llama-b10991-bin-ubuntu-x64.tar.gz (16 MB)", and so do `ctl nodes` and the
cluster page, along with a warning for a CPU without AVX2 — the VM CPU type
that makes everything five times slower and nothing look wrong.
Agents also report their OS, architecture, vector extensions and NVIDIA
driver. Onboarding installs llmgw itself from the CI release for the node's
architecture, checked against the release's checksums, rather than copying
whatever binary the operator's machine had.
vLLM and SGLang are not installed yet: they are Python environments of
several gigabytes, not an archive, and still have to be named in the agent's
configuration.
Also fixes a race on the weights fingerprint, which two heartbeat loops touch
during a failover.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
The page is served twice — on the admin listener, and at /admin behind a
session — and the history source reached only the second. The first version
built it after the admin listener's copy was already registered and passed that
one an empty NavExtras, so the page an operator reaches by SSH tunnel had no
charts and no explanation.
Built before either is registered, and handed to both.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
The dashboard charted what the cluster had been billed for — requests, tokens,
spend, all from llmgw's own store — and nothing about whether it was healthy.
Saturation, queue depth, cache occupancy and replica counts were numbers in a
table at the instant the page loaded, with no way to see that one of them had
been climbing for an hour.
Four line charts now, read back from wherever the metrics were scraped to.
Read back rather than kept twice. llmgw publishes these already; what a gauge
cannot do is remember, and a ring buffer in this process would be a rival copy
of the same numbers with its own retention, lost on every restart and
disagreeing with the one an operator has on screen elsewhere. monitoring.prometheus
is empty by default and the panels are then absent rather than empty.
One axis per chart, always. Two measures of different scale belong in two
charts: a second y-axis lets any two lines be made to cross wherever the author
likes and the reader cannot tell it happened.
Four colours, handed out in fixed order, never cycled. A fifth series is summed
into "other" and drawn in grey — dropping it would make a chart that does not
add up, and inventing a hue for it would put two lines on the page that nobody
can tell apart. The fold is by timestamp, not by position: the tail's series do
not share sample times, and adding them by index slides points sideways onto
each other's clock.
A legend for every chart with more than one line, because colour alone is not
an encoding a reader can rely on.
A flat zero is drawn along the bottom rather than left blank: nothing happening
is a real answer, and an empty frame reads as a broken chart. A single sample
is not a line and says so instead of putting a dot in the corner.
One failed query fails all four panels. Three drawn and one blank invites
reading the blank one as "nothing is happening there".
NaN is dropped rather than plotted. Prometheus sends it as a string for a
sample it has no value for, Go's ParseFloat accepts it happily, and one NaN
coordinate is an SVG path that does not draw at all — taking the rest of the
line with it.
Axis maxima are rounded to a number a person would pick. An axis topping out at
0.8347 makes every gridline unreadable, and the shape is what a chart is for.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Fetching a model put it on the mirror and left the operator to hand-write a
catalogue entry and run `ctl model add` on the control plane — for a source the
page was already displaying, with an engine decided by the file extension it
had just shown them.
A present row now offers to serve it. The form opens on that row with the name,
the mirror's own URL and the engine filled in, and asks for the two things
nobody can infer: the context pool and how many replicas.
What it refuses is the point.
A version of several files is refused with the reason. A catalogue entry names
one source, so an entry for a sharded model is an entry for one shard, which
loads as a broken model rather than failing to load. Nothing said so before —
the mirror happily holds a four-shard model that no catalogue entry can
describe.
Safetensors on a fleet with no GPU is warned about before anything is added.
This is the failure we hit today: fifteen gigabytes of shards arrived, and only
then did looking at a node show no card, no vLLM and no SGLang. The control
plane is not told which engines a node has installed, so the check is on cards,
which it does know — a warning rather than a refusal, because a card can be
added tomorrow.
A name already declared in configuration is refused here too, matching what the
model service would say anyway, but before the form is filled in rather than
after.
Without a store there is no serve action at all: a model added at runtime would
not survive a restart, and offering it then refusing is worse than not offering.
The mirror page's dependencies became a struct. Three are optional interfaces
and two are the same shape, which at a call site is a swap nobody notices until
a page shows the wrong thing.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Mirroring anything meant knowing a repository existed, knowing which of its
thirty files were the weights, and assembling a resolve URL by hand. The mirror
page had a text box for that URL and no way to find one.
It now searches Hugging Face and lists a repository's weight files with their
sizes and published checksums, each with a button that fills the fetch form.
Only weight files. A repository is mostly a README and a tokenizer, and listing
those buries the four entries somebody came for.
The size shown is the LFS size, not the plain one. For an LFS-stored file —
every weights file — the plain field is the size of the pointer, so the other
one reports a gigabyte model as 133 bytes, and that is the number somebody
would then plan disk against.
The source URL is pinned to the commit the listing came from rather than to a
branch, so what the mirror fetches is what was on screen. A repository
re-uploaded under the same branch otherwise leaves two different sets of
weights with identical provenance and no way to tell them apart. The version
defaults to that revision for the same reason.
The registry's own failures are reported on their own line. It is somebody
else's server on the other side of the internet, and it being down says nothing
about the mirror — which is what the page is for and has to keep working
regardless. With no registry configured there is no search box at all, rather
than one that can only time out.
Gating decodes from a bool or a string, because the field is documented as the
first and is the second in practice: strict decoding fails the whole response,
so one gated model would hide the other nineteen in a page of results.
And a bug this made obvious: downloads were keyed by model and version, so the
second shard of a sharded model was refused as "already fetching" until the
first had finished. A fifteen-shard model had to be pulled one file at a time,
each waiting on the last. Keyed by file now — which is what the single-flight
was ever protecting, since the race is two writers on one .part. A version made
of several files reports as the worst of them: it is not present until every
shard is, and one shard failing makes the version unusable however many others
arrived.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Quotas can be written on an organization, a team or a project, and nothing
could show what any of them had used: usage came back per key, per user and per
model only. A quota whose consumption cannot be seen is one nobody reviews
until the day it refuses somebody — and since the previous commit made a group
quota a shared pool, it is now a number several people are spending against
without being able to look at it.
`llmgw ctl usage --by team` sums every key beneath each group, with the budget
that level sets beside it.
Beside it, and only when that level sets one. A team bounded by its
organization's budget has none of its own, and printing the organization's
against each of its teams would read as though each had that much — the exact
misreading this work exists to remove.
Joined through api_keys rather than read from usage.project_id: that column
records where the key was when the request was served, while the quota is
written against the tree. They agree until a key is moved, and a report that
disagrees with the limit shown beside it is the useless one.
Three existing reports were fixed on the way, all failing on PostgreSQL and all
passing in tests, because the tests run on SQLite:
column "k.name" must appear in the GROUP BY clause (UsageSince)
column "us.email" must appear in the GROUP BY clause (UsageByUser)
column "usage.ts" must appear in the GROUP BY clause (UsageBuckets)
SQLite picks an arbitrary row for an ungrouped column and carries on; PostgreSQL
refuses. The first two were selecting names they had not grouped. The third
grouped "ts / ?" while selecting "(ts / ?) * ?", which PostgreSQL matches as
text and so saw a bare ts — it is grouped by ordinal now, the same expression by
construction. The dashboard's usage charts have been empty on the cluster this
whole time, with the reason only in the log.
All four queries were run against the cluster's own PostgreSQL before this was
committed, because passing on SQLite is what they were already doing.
The grouping level picks from a fixed table of levels rather than being
interpolated, so an unknown one is an error and not a fragment of SQL.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Two things that were only ever confusing, and one of them stopped a command
working on the cluster.
The store type was named SQLite and kept the name when PostgreSQL was added, so
OpenPostgres returned a *SQLite and all seventy-odd methods on the production
store were spelled after the database it was not running on. Nothing broke;
people did. Earlier today I added three methods to *SQLite for a table that on
this cluster only ever lives in PostgreSQL, and the name did not once look
wrong. It is a field, which is all it ever was.
`llmgw users` and `llmgw keys` defaulted --store to a SQLite path. On a
deployment whose store is PostgreSQL every one of them failed with "unable to
open database file" while the right answer sat in auth.store in the config file
beside them; the conclusion an operator draws is that the tool is broken, and
they are not far off. They now ask the server's own configuration before
falling back, and the error names which of the three sources chose the address
— the failure was never the path, it was which one picked it.
The single-machine default still applies last, so a deployment with no config
file keeps working with no flags.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
`ctl bench` has always been able to work out what one replica can serve — it
ramps concurrency until the SLO breaks and reports the last level that held.
It printed that and nothing kept it, so the one number saying what a replica is
worth lived in whoever ran it's scrollback. Everything downstream then had to
guess: admission applies a single global default for healthy queue depth, and
sizing a model against real demand had nothing to size against.
`ctl bench --save` records it; `ctl capacity` reads it back.
Keyed by model and profile. Capacity belongs to the hardware and the engine
arguments as much as to the weights, so the same model on CPU and on an H100
are two numbers, and one key would overwrite the other on every run.
The profile is looked up from the replica rather than asked for, because the
control plane already knows which profile answers on which endpoint and a
measurement filed under the wrong one is worse than none. A target that is not
a replica — the gateway, usually — is refused with that said: benchmarking the
whole path is worth doing and says nothing about the hardware.
The conclusion is stored, not the ramp. Every level and its latencies are worth
reading once while judging whether the run was sound; keeping them would grow
without bound as a model is re-benchmarked.
Re-measuring replaces. A second run is a better answer to the same question,
not another data point, and keeping both would leave a reader choosing between
numbers with no basis for the choice.
The SLO and the date are stored with it. Capacity means nothing without the
target it was measured against, and hardware and engine builds change — a
measurement is an observation with a date on it, not a fact about the model.
A failed save is reported and not fatal: the run has already cost the GPU time.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
/admin/mirror, behind the same admin session as the other admin pages. What is
held, what is arriving with its byte count, what failed and why; start a fetch,
retry a failed one, remove a version.
Not mounted at all without a mirror configured. The right page for a deployment
with no mirror is no page, rather than an empty one pointing at nothing.
It reloads itself only while something is downloading. A reload at any other
moment takes with it whatever is half-typed into the fetch form, and there is
nothing to watch when nothing is moving.
A failed row offers Retry, not Remove. A fetch that failed left nothing on disk,
so the remove could only answer "the mirror holds nothing for this" — a button
whose single outcome is a confusing error. Starting the same download again is
what somebody looking at that row wants, and the mirror allows it: only a
download still running is refused.
An unreachable mirror is said outright instead of rendering as an empty table.
The two look nearly identical and mean opposite things: one is a mirror waiting
to be filled, the other is a machine to go and look at.
Dashboard takes NavExtras rather than a second bool. Two adjacent booleans at a
call site get swapped silently and are discovered by somebody clicking the
wrong link.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
