The 2026-10-08 rename moved the harness model ids and the homepage cards;
the served aliases on the wire stayed frank-primary/frank-large/
frank-secondary. This closes the gap: the alias each endpoint announces is
now the family name, while the services, units, scripts, env files and
runbooks keep the old names (container identity stays stable).
- scripts/frank-secondary.env ALIAS, scripts/frank-large.env
HALOGEN_MODEL_ID, scripts/frank-primary.env FRANK_PRIMARY_SERVED_NAME
(+ the two serve-script defaults/gate messages)
- seams re-pinned: frank_secondary/frank_large/frank_primary unit bats
- fleet harnesses retargeted: bench-probe, deep-probe, calib-push,
fleet-probes-swift15, autoresearch(+measure), bench-threads-batch-http,
bench-decode
- shared/homepage/docs.html: api-id annotations and the "switchover will
rename the ids" footnote removed — the page's names are now the ids;
opencode/Pi/curl examples send frank-zealot
- dankclaw/hermes/config.yaml.example: frank-large -> frank-dragoon and the
live 262144 context (Hermes routes by served id; see Hermes.md)
Consumers with live state re-keyed out-of-band in the same window:
OpenWebUI (model row, access_grant, openai.api_configs model_ids) and the
Hermes config.yaml.
Engine v1.2.0 (Codeberg e95d397, Docker Hub tag 1.2.0, index digest
665775ed...) removes --expert-vs-cache-ratio. The explicit
--vram-weights-mib 26071 / --vram-kv-mib 3543 pair transcribes the live
1.0.13 boot ledger at ratio 0.82 (weights 25.46 GiB, KV 3.46 GiB per
card); bracket arms scale KV linearly in (1-r): 0.90 -> 1968, 0.95 -> 984.
Serve script, autoresearch harness, and bats gates follow; the bats
shape asserts are realigned to the deployed seqs=3/spec=2 sweep result
(95923d3, df6b5bb) they failed to track.
autoresearch.sh (dev box) scp's the candidate scripts/frank-primary.env
+ the bench script to dankserver and runs it over ssh.
scripts/autoresearch-frank-primary.sh (dankserver) follows the bench
policy: stop frank-primary (relink unit: stop, not mask), boot a
scratch radiance container (arbench) on the same two cards with the
candidate argv, poll /health, run ONE self-contained greedy completion
(fixed ~140k-char real-text prompt -> ~32k tokens, 256-token decode),
parse the engine timings into METRIC lines, tear the scratch down, and
restore production via a trap. Fresh prefix-cache tier per run for cold
prefill. Baseline validated: decode_tps=31.70, prefill_tps=465.4,
ttft_ms=93745, draft_accept=0.831 at prompt_n=43627.
Frank