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>
