feat(cmf): integrate CMF as a managed local model server

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.
This commit is contained in:
infosave2007
2026-07-08 16:18:31 +03:00
parent 630149d141
commit 8dd77ca7ff
11 changed files with 1812 additions and 64 deletions
+13
View File
@@ -10,10 +10,13 @@
mod admin;
mod cache;
mod cmf_runtime;
mod config;
mod error;
mod import;
mod model;
mod pipeline;
mod promotion;
mod protocols;
mod providers;
mod registry;
@@ -79,6 +82,16 @@ async fn main() -> anyhow::Result<()> {
let state = SharedState::build(cfg, args.config.clone())?;
// Close the loop with the CMF format (github.com/infosave2007/cmf): install
// / update cortiq-cli and run a local `cortiq serve` if configured. Runs in
// the background so startup is never blocked by a cargo install or a model
// load; the served model is registered in the pool and usable offline.
{
let cmf_rt = state.cmf.clone();
let cmf_cfg = state.live().cfg.cmf.clone();
tokio::spawn(async move { cmf_runtime::manage(cmf_rt, cmf_cfg).await });
}
let mut app = Router::new()
.route("/healthz", get(|| async { "ok" }))
.route("/readyz", get(|| async { "ready" }))