- import.rs / promotion.rs: sort_by(|a,b| b.k.cmp(&a.k)) -> sort_by_key(Reverse(k))
- pipeline.rs: skip_while(!p).next() -> find(p)
Behaviour-preserving; completes the CI fix started by the cargo fmt commit.
- Settings: "?" help tooltips on every option; router key auto-probes the
connection right after saving (no more hanging "unavailable")
- Local models card reworked into 3 clear steps (install cortiq → add model →
run locally); removed the hand-entered .cmf path / pool-id fields — models
are added via the Import tab and the managed server registers them
- Fresh install ships an EMPTY model pool; the local .cmf is auto-registered by
the managed CMF server, so it needs no static [[models]] entry
- New: port-availability check — GET /admin/api/cmf/port + "Check port" button
with next-free-port suggestion. bind()+connect() probe so Docker-proxied /
dual-stack ports (e.g. 8081) are correctly detected as occupied
- /admin/api/cmf now reports the serving model + port; card shows "▶ serving …"
- On-demand runtime install: POST /admin/api/cmf/install
The crates.io/release build shipped a STALE frontend (committed web/js was behind
the working tree), so the admin console hung on load. Commit the current working
web/js (app, api, dashboard, login, import view, i18n de/es/fr/tr/zh, css) and the
backend WIP (import.rs, admin/assets.rs) so the released console matches the dev
build. Verified: clean `cargo build --release`, empty-pool start, working
dashboard served.
- config.rs: validate() no longer errors on zero models — an empty pool is
allowed (warns instead), so the admin console comes up on a fresh install and
the user adds models in /admin -> Models (or points [cmf] at a local .cmf).
- gateway.example.toml: ships an EMPTY pool (no seed cmf-local/local-embed, empty
routing), so `cp example -> gateway.toml && run` shows an empty list — what a
new user expects.
The v0.2.3 CMF-integration commit referenced crate::promotion (main.rs),
router_client::RouterLastStatus (state.rs) and router_client::classify_status
(admin), but those definitions were not part of the commit, so a clean build
failed (E0583/E0432/E0425). Add the two source files; cargo build --release now
compiles.
Expose the two speed knobs in the /admin Settings panel instead of TOML-only:
- [cmf].gpu (new) -> exports CMF_GPU=1 to the managed cortiq serve (Metal/wgpu).
On Apple Silicon decode is memory-bandwidth bound so this is ~neutral for
generation (helps prefill); off by default.
- [cmf].threads (added earlier) now has a UI number input.
- config.rs: CmfCfg.gpu bool (serde default false).
- cmf_runtime.rs: spawn_serve sets CMF_GPU=1 when gpu is on.
- admin/mod.rs: put_settings flags needs_restart on threads/gpu change (the
server is spawned once at startup with those env vars).
- settings.js: threads input + gpu checkbox + save payload + speed hint.
- i18n en/ru: threads/gpu/speedNote keys (other locales fall back to en, as the
whole cmf section already does there).
The gateway spawned `cortiq serve` with no thread hint, so the runtime ran the
decode loop single-threaded (~0.25 tok/s on a 15B CPU model). Export CMF_THREADS
from a new [cmf].threads config field (default 8) in spawn_serve.
Measured: 0.25 -> 0.81 tok/s (~3.2x) on qwopus-vbit7 (15B). Scaling is sublinear
(GatedDeltaNet state recurrence is serial per token, Amdahl-bound); a real jump
needs the GPU path.
Run models in the CMF (.cmf) format locally, via the native `cortiq`
CLI from crates.io — no Python and no external model server.
- cmf_runtime: install/update `cortiq-cli` from crates.io, spawn and
health-check `cortiq serve` as a managed local backend.
- import: model-import jobs shell out to the native `cortiq convert`
(HF repo -> .cmf, quant mapped Q8_2F->q8_2f / Q8_ROW->q8 / Q4->q4);
the Python converter is used only for advanced/exotic options.
- pipeline: local-first routing — serve from the local CMF model when
the router is disabled/unreachable, with a "local only" hard switch.
- registry/state: register the local CMF server as an OpenAI provider
and track local candidates.
- config: data-dir resolution + CmfCfg (auto-install/update, managed
server, host/port/model) and relaxed validation for the managed model.
- admin + settings UI (en/ru): "Local models (CMF)" settings card.
- GET /v1/models: pool + virtual cortiq-auto
- POST /v1/completions (legacy): non-stream + streaming text_completion
- POST /route: native passthrough returning the routing decision
- all inbound protocol adapters now implemented; admin meta + README/CHANGELOG updated
- bump to 0.2.1
- POST /mcp (JSON-RPC 2.0): initialize, ping, tools/list, tools/call; notifications -> 202
- tools: cortiq_route (classify -> routing decision) and cortiq_chat (route -> answer)
- gated by protocols.mcp; admin meta marks it implemented
- docs: README/README.ru protocol tables, highlights and status updated for
streaming, Anthropic, embeddings, semantic cache and MCP
- cache.rs: cosine-similarity store (threshold, TTL, ring buffer), partitioned by
routing signature; tracks hit rate and model cost saved
- pipeline: embed routing text, look up before the model call (route_source=cache on
hit), insert successful responses; stats record cache hits
- config [cache] + admin settings card; dashboard shows hit-rate and savings
- embedding model resolved from the pool (or first kind="embedding")
- release.yml: add x86_64-pc-windows-msvc target, OS-aware packaging (.exe + .zip)
- ci.yml: split into lint (fmt/clippy) + test matrix (ubuntu/windows/macos)
- use getrandom for the admin/key token CSPRNG (secure on Windows too)
infosave2007