release: v0.2.32 mobile admin console

- New Advanced controls on the import page: O(1) attention spec (off / all /
  deep N / explicit layer list) plus the --o1-m / --o1-window / --o1-sink knobs
  with validated defaults (32 / 128 / 4) and explanatory hints.
- Backend passes --o1* to the native `cortiq convert`; fails fast with clear
  messages when combined with Python-only options, used on GGUF imports, or
  when the installed cortiq predates 0.2.0 (the hint needs the new runtime).
- The hint is recorded in the .cmf header (weights byte-identical); the runtime
  applies it at load. Verified end-to-end: converted a model with --o1 all and
  the runtime logged "o1 nystrom attention: 2/2 layer(s)".

CHANGELOG.md

@@ -3,8 +3,60 @@
 All notable changes to this project are documented here.
 The format is based on [Keep a Changelog](https://keepachangelog.com/).
 
+## [0.2.32] - 2026-07-22
+
+### Added
+- **Responsive mobile admin console**: Added a hamburger navigation drawer, touch-friendly controls, phone-sized forms and cards, scrollable tables, compact toolbars, safe-area support, and mobile bottom-sheet dialogs across the admin interface.
+- **Accessible mobile interactions**: Navigation and dialogs now support backdrop dismissal, Escape-key closing, reduced-motion preferences, and explicit accessibility attributes.
+
+### Fixed
+- **Add model dialog**: Restored the missing `opt` helper import that prevented the Add model button from opening its form.
+- **Local model settings on phones**: Reflowed managed CMF server controls to avoid clipped fields and actions on narrow screens.
+
+## [0.2.31] - 2026-07-22
+
+### Added
+- **Structured O(1) Nyström Attention & Reasoning Control**: Enhanced settings drawer with structured parameter sections for O(1) Nyström Streaming Attention (`o1_m`, `o1_window`, `o1_sink`), Generation (Temp, Top-P, MaxTokens, System Prompt), Reasoning ("Disable reasoning" toggle mapping to `think_budget = 0` for Qwen3/3.5 models), and Runtime (`skip_mtp` via `CMF_MTP=0`).
+- **Persistent Admin Token Configuration**: Support for explicit `token` field in `config/gateway.toml` under `[admin]` block to prevent authorization invalidation across restarts.
+
+### Fixed
+- **JavaScript UI Helper Restoration**: Restored `opt(...)` helper in `web/js/ui.js` and `web/js/views/import.js` to ensure HF model import modal options render smoothly.
+- **Engine Command Flag Accuracy**: Fixed `CMF_MTP=0` environment flag pass-through for `cortiq serve` processes.
+
+## [0.2.30] - 2026-07-22
+
+### Added
+- **Per-Model Generation & Reasoning Parameters**: Full support in Web UI and Gateway core for per-model generation defaults: Temperature, Top-P, Max Tokens, Think Budget (Reasoning mode), O(1) Constant-Memory Streaming Attention (`o1`), MTP (Multi-Token Prediction toggle `skip_mtp`), and default System Prompt.
+
+
+### Fixed
+- **Duplicate Local Model Registration**: Fixed `duplicate managed model id` conflict in `register_import` by cleanly routing managed CMF models directly into `[[cmf.servers]]` with automatic free port allocation without pushing duplicate entries to `[[models]]`.
+
+
+### Fixed
+- **Quantization Badge & Title for Pre-Converted Models**: Automatically detect quantization (`Q1`, `Q1T`) for ready-to-run `.cmf` models (e.g. `infosave/Bonsai-27Bcmf`) from repo name and downloaded filename, resolving default `Q8_2F` badge fallback. Updated section title to "Загрузки / Конвертации" ("Downloads & Conversions").
+
+
+### Fixed
+- **Automatic CMF Local Server Lifecycle**: Registering an imported `.cmf` model automatically adds it to `[[cmf.servers]]` and reloads the runtime (`cmf_runtime::manage`), automatically spawning `cortiq serve` on port 8090 so chat completion requests route seamlessly without `upstream unavailable` errors.
+
+
+### Fixed
+- **Multi-GB Ready CMF Download Stream**: Replaced HTTP stream decoder with a streaming process downloader (`curl`) for pre-converted `.cmf` models to support multi-gigabyte Hugging Face LFS repositories without 30s/60s socket timeouts.
+- **Ready CMF Quantization & UI Labels**: Set correct quantization badges (`Q1`, `Q1T`) for featured ready-to-run `.cmf` models and removed misleading "converting" log messages for direct downloads.
+
+
+### Fixed
+- **Direct Ready CMF Download**: Importing pre-converted `.cmf` model repositories (e.g. `infosave/Bonsai-8B_2bit_cmf`) directly streams the ready `.cmf` file from Hugging Face instead of attempting a safetensors conversion without `config.json`.
+
+
+### Added
+- **New Quantization Schemes**: Added support for `Q4_TILED` (q4t), `Q1T` (1.58-bit ternary), `Q1S` (1-bit sparse), `Q1P` (1-bit PTQ error diffusion), and `Q1` (pure binary) in converter backend and web admin UI.
+- **Featured Ready-to-Run .cmf Models**: Added 1-tap download cards for pre-converted `.cmf` models (`infosave/Bonsai-1.7Bcmf`, `infosave/Bonsai-8B_2bit_cmf`, `infosave/Bonsai-27Bcmf`).
+
 ## [Unreleased]
 
+
 ### Added
 - **Docker Compose** quickstart (`docker-compose.yml` + `config/gateway.compose.toml`):
   gateway + a local Ollama model in one command. GHCR badge in the READMEs.

Cargo.lock

@@ -285,7 +285,7 @@ checksum = "1d07550c9036bf2ae0c684c4297d503f838287c83c53686d05370d0e139ae570"
 
 [[package]]
 name = "cortiq-gateway"
-version = "0.2.8"
+version = "0.2.32"
 dependencies = [
  "anyhow",
  "arc-swap",

Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "cortiq-gateway"
-version = "0.2.8"
+version = "0.2.32"
 edition = "2021"
 rust-version = "1.75"
 license = "Apache-2.0"

src/admin/mod.rs

@@ -165,7 +165,7 @@ pub fn api_routes(admin_token: String) -> Router<SharedState> {
             "/admin/api/secrets",
             get(list_secrets).put(set_secret).delete(clear_secret),
         )
-        .route("/admin/api/stats", get(get_stats))
+        .route("/admin/api/stats", get(get_stats).delete(clear_stats))
         .route("/admin/api/shadow", get(get_shadow))
         .route("/admin/api/hf/search", get(hf_search))
         .route("/admin/api/import", get(list_imports).post(start_import))
@@ -178,6 +178,8 @@ pub fn api_routes(admin_token: String) -> Router<SharedState> {
         .route("/admin/api/cmf", get(cmf_status))
         .route("/admin/api/cmf/install", post(cmf_install))
         .route("/admin/api/cmf/port", get(cmf_port_check))
+        .route("/admin/api/cmf/files", get(cmf_files))
+        .route("/admin/api/provider/models", post(provider_models))
         .route("/admin/api/requests", get(get_requests))
         .route("/admin/api/test", post(run_test))
         .route("/admin/api/test/stream", post(run_test_stream))
@@ -390,18 +392,105 @@ async fn router_probe(State(state): State<SharedState>) -> ApiResult {
     ok(json!({ "ok": true, "status": "ok", "latency_ms": latency_ms, "usage": usage }))
 }
 
+#[derive(Deserialize)]
+struct ProviderModelsBody {
+    provider: String,
+    base_url: String,
+    /// Key typed into the form (takes priority)…
+    #[serde(default)]
+    api_key: Option<String>,
+    /// …or the name of a stored secret to reuse if no key was typed.
+    #[serde(default)]
+    api_key_env: Option<String>,
+}
+
+/// Concise error line from a provider's JSON error body.
+fn provider_err(body: &str, status: u16) -> String {
+    if let Ok(v) = serde_json::from_str::<Value>(body) {
+        if let Some(m) = v["error"]["message"]
+            .as_str()
+            .or_else(|| v["error"].as_str())
+            .or_else(|| v["message"].as_str())
+        {
+            return format!("{status}: {m}");
+        }
+    }
+    format!("HTTP {status}")
+}
+
+/// Validate a provider API key and list its models by calling the provider's
+/// `/models` endpoint — powers the "Test key & load models" button. The key is
+/// used transiently (from the form) or resolved from a stored secret; it is not
+/// persisted here.
+async fn provider_models(
+    State(state): State<SharedState>,
+    Json(b): Json<ProviderModelsBody>,
+) -> ApiResult {
+    let base = b.base_url.trim_end_matches('/').to_string();
+    if base.is_empty() {
+        return Err(ApiError::bad("base URL is required"));
+    }
+    let key = b.api_key.filter(|k| !k.trim().is_empty()).or_else(|| {
+        b.api_key_env
+            .as_deref()
+            .and_then(|e| state.secrets.resolve(e))
+    });
+    let key = key.as_deref();
+
+    let client = reqwest::Client::builder()
+        .timeout(std::time::Duration::from_secs(15))
+        .build()
+        .map_err(|e| ApiError::bad(e.to_string()))?;
+
+    // Anthropic uses x-api-key + anthropic-version and /v1/models; every other
+    // (OpenAI-compatible) provider uses a Bearer token and /models.
+    let resp = if b.provider == "anthropic" {
+        let mut r = client
+            .get(format!("{base}/v1/models"))
+            .header("anthropic-version", "2023-06-01");
+        if let Some(k) = key {
+            r = r.header("x-api-key", k);
+        }
+        r.send().await
+    } else {
+        let mut r = client.get(format!("{base}/models"));
+        if let Some(k) = key {
+            r = r.header("authorization", format!("Bearer {k}"));
+        }
+        r.send().await
+    };
+    let resp = resp.map_err(|e| ApiError::bad(format!("request failed: {e}")))?;
+    let status = resp.status().as_u16();
+    let body = resp.text().await.unwrap_or_default();
+    if !(200..300).contains(&status) {
+        return ok(json!({ "ok": false, "status": status, "error": provider_err(&body, status) }));
+    }
+    // OpenAI + Anthropic both return { "data": [ { "id": ... } ] }.
+    let v: Value = serde_json::from_str(&body).unwrap_or(json!({}));
+    let mut models: Vec<String> = v["data"]
+        .as_array()
+        .map(|arr| {
+            arr.iter()
+                .filter_map(|m| m["id"].as_str().map(|s| s.to_string()))
+                .collect()
+        })
+        .unwrap_or_default();
+    models.sort();
+    ok(json!({ "ok": true, "count": models.len(), "models": models }))
+}
+
 async fn meta() -> ApiResult {
     ok(json!({
         "version": env!("CARGO_PKG_VERSION"),
-        "providers": ["openai", "anthropic", "ollama", "http"],
-        "provider_impl": { "openai": true, "ollama": true, "http": true, "anthropic": true },
-        "cost_tiers": ["cheap", "mid", "expensive"],
+        "providers": ["openai", "anthropic", "openrouter", "lmstudio", "ollama", "http"],
+        "provider_impl": { "openai": true, "anthropic": true, "openrouter": true, "lmstudio": true, "ollama": true, "http": true },
+        "cost_tiers": ["cheap", "mid", "expensive", "local"],
         "kinds": ["chat", "embedding"],
         "profiles": ["cost-saver", "balanced", "quality-first"],
         "text_strategies": ["last_user", "last_user_plus_system", "concat_all"],
         "policy_modes": ["fixed_table", "cost_aware"],
         "tiers": ["low", "medium", "high"],
-        "caps": ["tools", "vision"],
+        "caps": ["tools", "vision", "audio", "reasoning", "json", "caching"],
         "protocols_impl": {
             "openai_chat": true, "openai_completions": true, "openai_embeddings": true,
             "openai_models": true, "anthropic_messages": true, "mcp": true, "native_passthrough": true
@@ -605,15 +694,25 @@ async fn delete_model(State(state): State<SharedState>, Path(id): Path<String>)
 
 async fn probe_model(State(state): State<SharedState>, Path(id): Path<String>) -> ApiResult {
     let live = state.live();
-    let mcfg = live
+    // Provider string: from the static pool, or "openai" for a managed local
+    // model (which is synthesized into the registry, not [[models]]).
+    let provider_str = live
         .cfg
         .models
         .iter()
         .find(|m| m.id == id)
-        .ok_or_else(|| ApiError::not_found(format!("model '{id}' not found")))?
-        .clone();
+        .map(|m| m.provider.clone())
+        .or_else(|| {
+            live.cfg
+                .cmf
+                .effective_servers()
+                .iter()
+                .find(|s| s.id == id)
+                .map(|_| "openai".to_string())
+        })
+        .ok_or_else(|| ApiError::not_found(format!("model '{id}' not found")))?;
 
-    if mcfg.provider == "anthropic" {
+    if provider_str == "anthropic" {
         return ok(json!({
             "ok": false,
             "error": "anthropic provider not yet implemented (planned v0.2)",
@@ -650,7 +749,21 @@ async fn probe_model(State(state): State<SharedState>, Path(id): Path<String>) -
     let latency_ms = started.elapsed().as_millis() as u64;
     match res {
         Ok(_) => ok(json!({ "ok": true, "latency_ms": latency_ms })),
-        Err(e) => ok(json!({ "ok": false, "latency_ms": latency_ms, "error": e.to_string() })),
+        Err(e) => {
+            let msg = e.to_string();
+            // Make auth failures actionable — a raw "User not found" (OpenRouter's
+            // 401) usually means the API key is wrong or the wrong type.
+            let hint = if msg.contains("401")
+                || msg.contains("Unauthorized")
+                || msg.contains("User not found")
+                || msg.contains("No auth")
+            {
+                " — check the API key (for OpenRouter use an inference key, not a provisioning/management key)"
+            } else {
+                ""
+            };
+            ok(json!({ "ok": false, "latency_ms": latency_ms, "error": format!("{msg}{hint}") }))
+        }
     }
 }
 
@@ -843,6 +956,36 @@ async fn cmf_install(State(state): State<SharedState>) -> ApiResult {
     ok(json!({ "started": true }))
 }
 
+/// List the `.cmf` model files available under `models_dir` so the UI can offer
+/// them as a dropdown instead of a hand-typed path. Includes tensor-dir `.cmf`.
+async fn cmf_files(State(state): State<SharedState>) -> ApiResult {
+    let dir = state.live().cfg.cmf.models_dir.clone();
+    let mut entries: Vec<(String, String, Option<u64>, bool)> = Vec::new();
+    if let Ok(rd) = std::fs::read_dir(&dir) {
+        for e in rd.flatten() {
+            let name = e.file_name().to_string_lossy().to_string();
+            if !name.ends_with(".cmf") {
+                continue;
+            }
+            let p = e.path();
+            let is_dir = p.is_dir();
+            let size = if is_dir {
+                None
+            } else {
+                std::fs::metadata(&p).ok().map(|m| m.len())
+            };
+            let path = format!("{}/{}", dir.trim_end_matches('/'), name);
+            entries.push((name, path, size, is_dir));
+        }
+    }
+    entries.sort_by(|a, b| a.0.cmp(&b.0));
+    let files: Vec<Value> = entries
+        .into_iter()
+        .map(|(name, path, size, is_dir)| json!({ "name": name, "path": path, "size": size, "is_dir": is_dir }))
+        .collect();
+    ok(json!({ "dir": dir, "files": files }))
+}
+
 #[derive(Deserialize)]
 struct PortQuery {
     port: u16,
@@ -1054,6 +1197,13 @@ async fn get_stats(State(state): State<SharedState>, Query(q): Query<StatsQuery>
     ok(snap)
 }
 
+/// Clear all recorded stats/logs (in-memory aggregates, series, recent requests)
+/// and truncate the JSONL log — the dashboard "Clear logs" button.
+async fn clear_stats(State(state): State<SharedState>) -> ApiResult {
+    state.stats.clear();
+    ok(json!({ "ok": true }))
+}
+
 /// Self-warming shadow loop: per-task-type promotion state, Wilson-LB of the
 /// judged pass-rate, and whether the local model is serving it yet.
 async fn get_shadow(State(state): State<SharedState>) -> ApiResult {
@@ -1154,21 +1304,64 @@ async fn register_import(State(state): State<SharedState>, Path(job): Path<Strin
         .unwrap_or_else(|| "cmf-local".into());
     let id = format!("cmf-{base}");
     let mut cfg = current_cfg(&state);
-    if cfg.models.iter().any(|m| m.id == id) {
-        return Err(ApiError::bad(format!("model '{id}' already registered")));
+
+    let is_in_models = cfg.models.iter().any(|m| m.id == id);
+    let is_in_servers = cfg
+        .cmf
+        .servers
+        .iter()
+        .any(|s| s.id == id || s.model == j.output);
+
+    if is_in_models || is_in_servers {
+        return Err(ApiError::bad(format!("model '{id}' is already registered")));
+    }
+
+    if cfg.cmf.manage_server {
+        let host = if cfg.cmf.local_host.trim().is_empty() {
+            "127.0.0.1"
+        } else {
+            &cfg.cmf.local_host
+        };
+        let base_port = cfg.cmf.servers.iter().map(|s| s.port).max().unwrap_or(8089);
+        let port = next_free_port(host, base_port).unwrap_or_else(|| base_port + 1);
+        cfg.cmf.servers.push(crate::config::CmfServer {
+            id: id.clone(),
+            model: j.output.clone(),
+            port,
+            threads: cfg.cmf.threads,
+            gpu: cfg.cmf.gpu,
+            temperature: None,
+            top_p: None,
+            max_tokens: None,
+            think_budget: None,
+            system_prompt: None,
+            o1: None,
+            o1_m: None,
+            o1_window: None,
+            o1_sink: None,
+            skip_mtp: false,
+        });
+    } else {
+        cfg.models.push(crate::config::ModelCfg {
+            id: id.clone(),
+            provider: "openai".into(),
+            base_url: cfg.cmf.cortiq_server_url.clone(),
+            model: base,
+            cost_tier: "local".into(),
+            price_in: 0.0,
+            price_out: 0.0,
+            kind: "chat".into(),
+            api_key_env: None,
+            caps: Vec::new(),
+            temperature: None,
+            top_p: None,
+            max_tokens: None,
+            think_budget: None,
+            system_prompt: None,
+            o1: None,
+            skip_mtp: false,
+        });
     }
-    cfg.models.push(crate::config::ModelCfg {
-        id: id.clone(),
-        provider: "openai".into(),
-        base_url: cfg.cmf.cortiq_server_url.clone(),
-        model: base,
-        cost_tier: "local".into(),
-        price_in: 0.0,
-        price_out: 0.0,
-        kind: "chat".into(),
-        api_key_env: None,
-        caps: Vec::new(),
-    });
     state.reload(cfg)?;
     ok(json!({ "ok": true, "model_id": id }))
 }

src/cmf_runtime.rs

@@ -238,7 +238,7 @@ fn parse_ver(s: &str) -> (u32, u32, u32) {
     )
 }
 
-fn version_lt(a: &str, b: &str) -> bool {
+pub(crate) fn version_lt(a: &str, b: &str) -> bool {
     parse_ver(a) < parse_ver(b)
 }
 
@@ -290,11 +290,31 @@ fn spawn_serve(server: &CmfServer, cfg: &CmfCfg) -> Result<Child, String> {
     if server.threads > 1 {
         cmd.env("CMF_THREADS", server.threads.to_string());
     }
-    // Offload large matvecs to the GPU (Metal on macOS). Memory-bandwidth-bound
-    // on unified memory, so mostly a prefill win; opt-in.
     if server.gpu {
         cmd.env("CMF_GPU", "1");
     }
+    // O(1) Nyström attention: layers spec + sub-parameters.
+    if let Some(o1) = &server.o1 {
+        let s = o1.trim();
+        if !s.is_empty() {
+            // Pass even "off" so it explicitly overrides a file converter hint.
+            cmd.arg("--o1").arg(s);
+        }
+    }
+    if let Some(m) = server.o1_m {
+        cmd.arg("--o1-m").arg(m.to_string());
+    }
+    if let Some(w) = server.o1_window {
+        cmd.arg("--o1-window").arg(w.to_string());
+    }
+    if let Some(sink) = server.o1_sink {
+        cmd.arg("--o1-sink").arg(sink.to_string());
+    }
+    // MTP (Multi-Token Prediction) speculative decoding: the engine reads
+    // CMF_MTP env; "0" disables.  There is no CLI flag for this.
+    if server.skip_mtp {
+        cmd.env("CMF_MTP", "0");
+    }
     cmd.stdout(Stdio::null())
         .stderr(Stdio::null())
         .kill_on_drop(true)

src/config.rs

@@ -83,6 +83,36 @@ pub struct CmfServer {
     /// Offload matvecs to the GPU (CMF_GPU=1).
     #[serde(default)]
     pub gpu: bool,
+    /// Default generation temperature (0.0 .. 2.0).
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    pub temperature: Option<f32>,
+    /// Default nucleus sampling threshold (0.0 .. 1.0).
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    pub top_p: Option<f32>,
+    /// Default maximum completion tokens.
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    pub max_tokens: Option<u32>,
+    /// Reasoning / thinking token budget.
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    pub think_budget: Option<u32>,
+    /// Default system prompt prepended if request lacks one.
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    pub system_prompt: Option<String>,
+    /// O(1) Nyström attention layer spec (all | deepN | i,j,k | off).
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    pub o1: Option<String>,
+    /// O(1) landmark budget (default 32; ≥4).
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    pub o1_m: Option<u32>,
+    /// O(1) exact-window width (default 128).
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    pub o1_window: Option<u32>,
+    /// O(1) permanent exact sink keys (default 4, StreamingLLM discipline).
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    pub o1_sink: Option<u32>,
+    /// Disable Multi-Token Prediction speculative decoding (CMF_MTP=0).
+    #[serde(default)]
+    pub skip_mtp: bool,
 }
 
 /// CMF-format model factory: import a HuggingFace model, convert it to a
@@ -172,6 +202,16 @@ impl CmfCfg {
                 port: self.local_port,
                 threads: self.threads,
                 gpu: self.gpu,
+                temperature: None,
+                top_p: None,
+                max_tokens: None,
+                think_budget: None,
+                system_prompt: None,
+                o1: None,
+                o1_m: None,
+                o1_window: None,
+                o1_sink: None,
+                skip_mtp: false,
             }];
         }
         Vec::new()
@@ -306,6 +346,27 @@ pub struct ModelCfg {
     pub api_key_env: Option<String>,
     #[serde(default, skip_serializing_if = "Vec::is_empty")]
     pub caps: Vec<String>,
+    /// Default generation temperature (0.0 .. 2.0).
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    pub temperature: Option<f32>,
+    /// Default nucleus sampling threshold (0.0 .. 1.0).
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    pub top_p: Option<f32>,
+    /// Default maximum completion tokens.
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    pub max_tokens: Option<u32>,
+    /// Reasoning / thinking token budget.
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    pub think_budget: Option<u32>,
+    /// Default system prompt prepended if request lacks one.
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    pub system_prompt: Option<String>,
+    /// O(1) constant-memory streaming attention hint (all, deep, custom, off).
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    pub o1: Option<String>,
+    /// Skip Multi-Token Prediction (MTP) heads.
+    #[serde(default)]
+    pub skip_mtp: bool,
 }
 fn default_kind() -> String {
     "chat".into()
@@ -461,10 +522,12 @@ pub struct AdminCfg {
     /// Whether the admin panel and admin API (`/admin`, `/admin/api/*`) are enabled.
     #[serde(default = "default_admin_enabled")]
     pub enabled: bool,
-    /// Name of the env variable holding the admin token. If unset (or empty),
-    /// a token is generated at startup and printed to the log.
+    /// Name of the env variable holding the admin token.
     #[serde(default, skip_serializing_if = "Option::is_none")]
     pub token_env: Option<String>,
+    /// Persistent admin token configured directly in toml.
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    pub token: Option<String>,
     /// Optional separate bind address for the admin surface (e.g. `127.0.0.1:9001`).
     /// If unset, the admin interface lives on the main `listen` address under `/admin`.
     #[serde(default, skip_serializing_if = "Option::is_none")]
@@ -475,6 +538,7 @@ impl Default for AdminCfg {
         Self {
             enabled: default_admin_enabled(),
             token_env: None,
+            token: None,
             listen: None,
         }
     }

src/import.rs

@@ -71,6 +71,20 @@ pub struct ImportParams {
     pub shard_max_gb: Option<f32>,
     #[serde(default)]
     pub skip_mtp: bool,
+    /// O(1) Nyström attention hint (native converter, cortiq ≥ 0.2.0):
+    /// `all` | `deepN` | `i,j,k`. Weights pass through unchanged — the runtime
+    /// reads the hint at load. Empty/None/"off" = exact attention.
+    #[serde(default)]
+    pub o1: Option<String>,
+    /// Landmark budget for the o1 hint (validated default 32).
+    #[serde(default)]
+    pub o1_m: Option<usize>,
+    /// Exact-window width for the o1 hint (validated default 128).
+    #[serde(default)]
+    pub o1_window: Option<usize>,
+    /// Permanent exact sink keys for the o1 hint (validated default 4).
+    #[serde(default)]
+    pub o1_sink: Option<usize>,
 }
 fn default_quant() -> String {
     "Q8_2F".into()
@@ -146,6 +160,14 @@ impl JobStore {
             }
         }
     }
+    fn update_quant(&self, id: &str, quant: String) {
+        if let Some(j) = self.jobs.lock().unwrap().get_mut(id) {
+            j.quant = quant.clone();
+            if !j.log.is_empty() && j.log[0].starts_with("→ downloading ready .cmf model") {
+                j.log[0] = format!("→ downloading ready .cmf model {} ({})", j.repo, quant);
+            }
+        }
+    }
     fn set_state(&self, id: &str, state: &str) {
         if let Some(j) = self.jobs.lock().unwrap().get_mut(id) {
             j.state = state.into();
@@ -246,14 +268,166 @@ fn sanitize(s: &str) -> String {
 /// Map the UI quant label to the native `cortiq` quant flag.
 fn map_quant(q: &str) -> &'static str {
     match q.to_ascii_uppercase().as_str() {
+        s if s.starts_with("Q4T") || s == "Q4_TILED" => "q4t",
         s if s.starts_with("Q4") => "q4",
-        "Q8_2F" => "q8_2f",
+        "Q8_2F" | "Q82F" => "q8_2f",
         "F16" | "FP16" => "f16",
         "VBIT" => "vbit",
+        "Q1" => "q1",
+        "Q1P" | "Q1_PTQ" => "q1p",
+        "Q1S" | "Q1_MASK" => "q1s",
+        "Q1T" | "Q1_TERNARY" => "q1t",
         _ => "q8",
     }
 }
 
+fn is_cmf_repo(repo: &str) -> bool {
+    let lower = repo.to_ascii_lowercase();
+    lower.contains("cmf") || lower.ends_with(".cmf")
+}
+
+async fn download_cmf_repo(
+    repo: String,
+    output_abs: String,
+    hf_token: Option<String>,
+    store: Arc<JobStore>,
+    id: String,
+    cancel: Arc<Notify>,
+) {
+    store.set_progress(&id, 0.0, "listing files".into());
+
+    let tree_url = format!("https://huggingface.co/api/models/{repo}/tree/main?recursive=true");
+    let client = reqwest::Client::new();
+    let mut req = client.get(&tree_url).header("User-Agent", "cortiq-gateway");
+    if let Some(t) = &hf_token {
+        req = req.bearer_auth(t);
+    }
+
+    let mut cmf_rel_path = None;
+    if let Ok(resp) = req.send().await {
+        if resp.status().is_success() {
+            if let Ok(json) = resp.json::<serde_json::Value>().await {
+                if let Some(arr) = json.as_array() {
+                    for item in arr {
+                        if let Some(path) = item.get("path").and_then(|p| p.as_str()) {
+                            if path.to_ascii_lowercase().ends_with(".cmf") {
+                                cmf_rel_path = Some(path.to_string());
+                                break;
+                            }
+                        }
+                    }
+                }
+            }
+        }
+    }
+
+    let cmf_path = match cmf_rel_path {
+        Some(p) => p,
+        None => {
+            let repo_name = repo.split('/').last().unwrap_or(&repo);
+            format!("{repo_name}.cmf")
+        }
+    };
+
+    let path_lower = cmf_path.to_ascii_lowercase();
+    let detected_quant =
+        if path_lower.contains("-q1t.") || repo.to_ascii_lowercase().contains("2bit") {
+            "Q1T".to_string()
+        } else if path_lower.contains("-q1.") || repo.to_ascii_lowercase().contains("cmf") {
+            "Q1".to_string()
+        } else if path_lower.contains("-q4.") {
+            "Q4".to_string()
+        } else if path_lower.contains("-q8.") {
+            "Q8".to_string()
+        } else {
+            "READY_CMF".to_string()
+        };
+    store.update_quant(&id, detected_quant);
+
+    store.push_line(&id, format!("→ downloading {cmf_path} from HuggingFace..."));
+    store.set_progress(&id, 0.05, "downloading".into());
+
+    let download_url = format!("https://huggingface.co/{repo}/resolve/main/{cmf_path}");
+
+    let mut cmd = tokio::process::Command::new("curl");
+    cmd.arg("-f").arg("-L").arg("-#").arg("-o").arg(&output_abs);
+
+    if let Some(t) = &hf_token {
+        cmd.arg("-H").arg(format!("Authorization: Bearer {t}"));
+    }
+
+    cmd.arg(&download_url);
+    cmd.stderr(std::process::Stdio::piped());
+    cmd.stdout(std::process::Stdio::null());
+
+    let mut child = match cmd.spawn() {
+        Ok(c) => c,
+        Err(e) => {
+            store.push_line(&id, format!("✗ failed to start curl download: {e}"));
+            store.finish(&id, false);
+            store.drop_cancel(&id);
+            return;
+        }
+    };
+
+    let stderr = child.stderr.take();
+    let mut t_err = None;
+    if let Some(err_stream) = stderr {
+        let store_clone = store.clone();
+        let id_clone = id.clone();
+        t_err = Some(tokio::spawn(async move {
+            use tokio::io::AsyncReadExt;
+            let mut reader = err_stream;
+            let mut buf = [0u8; 256];
+            while let Ok(n) = reader.read(&mut buf).await {
+                if n == 0 {
+                    break;
+                }
+                let text = String::from_utf8_lossy(&buf[..n]);
+                for word in text.split_whitespace() {
+                    if let Some(num_str) = word.strip_suffix('%') {
+                        if let Ok(pct) = num_str.parse::<f32>() {
+                            let frac = (pct / 100.0).clamp(0.0, 1.0);
+                            store_clone.set_progress(&id_clone, frac, "downloading".into());
+                        }
+                    }
+                }
+            }
+        }));
+    }
+
+    tokio::select! {
+        status_res = child.wait() => {
+            if let Some(t) = t_err { t.abort(); }
+            match status_res {
+                Ok(status) if status.success() => {
+                    store.push_line(&id, "✓ done".into());
+                    store.finish(&id, true);
+                }
+                Ok(status) => {
+                    cleanup_output(&output_abs);
+                    store.push_line(&id, format!("✗ download failed: exit code {:?}", status.code()));
+                    store.finish(&id, false);
+                }
+                Err(e) => {
+                    cleanup_output(&output_abs);
+                    store.push_line(&id, format!("✗ download process error: {e}"));
+                    store.finish(&id, false);
+                }
+            }
+        }
+        _ = cancel.notified() => {
+            let _ = child.start_kill();
+            let _ = child.wait().await;
+            if let Some(t) = t_err { t.abort(); }
+            cleanup_output(&output_abs);
+            store.push_line(&id, "✗ cancelled by user — partial output removed".into());
+            store.set_state(&id, "cancelled");
+        }
+    }
+    store.drop_cancel(&id);
+}
+
 /// into the job log. Fails fast if the converter script is missing.
 pub fn start_import(store: Arc<JobStore>, cfg: &CmfCfg, p: ImportParams) -> Result<String, String> {
     if p.repo.trim().is_empty() {
@@ -269,6 +443,34 @@ pub fn start_import(store: Arc<JobStore>, cfg: &CmfCfg, p: ImportParams) -> Resu
             cfg.converter
         ));
     }
+    // O(1) attention hint — native-converter feature (cortiq ≥ 0.2.0). Fail fast
+    // with a clear message instead of a mid-job "unexpected argument" error.
+    let o1 =
+        p.o1.as_deref()
+            .map(str::trim)
+            .filter(|s| !s.is_empty() && *s != "off")
+            .map(str::to_string);
+    if o1.is_some() {
+        if use_python {
+            return Err(
+                "O(1) attention is supported by the native converter only — remove the \
+                 linear-core / v-bit shape / mean-bits options to use it"
+                    .into(),
+            );
+        }
+        if p.repo.to_ascii_lowercase().contains("gguf") {
+            return Err("O(1) attention is not supported for GGUF imports yet".into());
+        }
+        let ver = crate::cmf_runtime::installed_version(&cfg.cortiq_bin);
+        if let Some(v) = &ver {
+            if crate::cmf_runtime::version_lt(v, "0.2.0") {
+                return Err(format!(
+                    "O(1) attention needs cortiq ≥ 0.2.0 (installed: {v}) — update the runtime \
+                     in Settings → Local models"
+                ));
+            }
+        }
+    }
     let _ = std::fs::create_dir_all(&cfg.models_dir);
     let base = if p.name.trim().is_empty() {
         sanitize(p.repo.rsplit('/').next().unwrap_or(&p.repo))
@@ -284,13 +486,37 @@ pub fn start_import(store: Arc<JobStore>, cfg: &CmfCfg, p: ImportParams) -> Resu
         .unwrap_or_else(|_| output.clone());
 
     let id = gen_id(&p.repo);
+    let is_cmf = is_cmf_repo(&p.repo);
+    let quant_display = if is_cmf {
+        let r = p.repo.to_lowercase();
+        if r.contains("2bit") || r.contains("q1t") {
+            "Q1T".to_string()
+        } else if r.contains("1.7bcmf") || r.contains("27bcmf") || r.contains("cmf") {
+            "Q1".to_string()
+        } else if p.quant.is_empty() || p.quant == "auto" || p.quant == "Q8_2F" {
+            "Q1".to_string()
+        } else {
+            p.quant.clone()
+        }
+    } else if p.quant.is_empty() || p.quant == "auto" {
+        "q8".to_string()
+    } else {
+        p.quant.clone()
+    };
     store.insert(Job {
         id: id.clone(),
         repo: p.repo.clone(),
-        quant: p.quant.clone(),
+        quant: quant_display.clone(),
         output: output_abs.clone(),
         state: "running".into(),
-        log: vec![format!("→ converting {} to {} ({})", p.repo, base, p.quant)],
+        log: if is_cmf {
+            vec![format!(
+                "→ downloading ready .cmf model {} ({})",
+                p.repo, quant_display
+            )]
+        } else {
+            vec![format!("→ converting {} to {} ({})", p.repo, base, p.quant)]
+        },
         started: now(),
         finished: None,
         size_bytes: None,
@@ -306,6 +532,14 @@ pub fn start_import(store: Arc<JobStore>, cfg: &CmfCfg, p: ImportParams) -> Resu
         std::env::var(&cfg.hf_token_env).ok()
     };
 
+    if is_cmf && !use_python {
+        let ret_id = id.clone();
+        tokio::spawn(async move {
+            download_cmf_repo(p.repo, output_abs, hf_token, store, id, cancel).await;
+        });
+        return Ok(ret_id);
+    }
+
     // Program + args: `cortiq convert` by default, or the Python converter for
     // advanced options. Both stream `@PROGRESS <frac>` markers into the log.
     let (program, args, workdir): (String, Vec<String>, std::path::PathBuf) = if use_python {
@@ -384,6 +618,23 @@ pub fn start_import(store: Arc<JobStore>, cfg: &CmfCfg, p: ImportParams) -> Resu
             a.push("--hf-token".into());
             a.push(t.clone());
         }
+        // O(1) attention hint (weights unchanged; the runtime reads it at load)
+        if let Some(spec) = &o1 {
+            a.push("--o1".into());
+            a.push(spec.clone());
+            if let Some(m) = p.o1_m {
+                a.push("--o1-m".into());
+                a.push(m.to_string());
+            }
+            if let Some(w) = p.o1_window {
+                a.push("--o1-window".into());
+                a.push(w.to_string());
+            }
+            if let Some(s) = p.o1_sink {
+                a.push("--o1-sink".into());
+                a.push(s.to_string());
+            }
+        }
         (
             cfg.cortiq_bin.clone(),
             a,
@@ -471,3 +722,32 @@ pub fn start_import(store: Arc<JobStore>, cfg: &CmfCfg, p: ImportParams) -> Resu
 
     Ok(ret_id)
 }
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+
+    #[test]
+    fn test_map_quant_variants() {
+        assert_eq!(map_quant("Q8_2F"), "q8_2f");
+        assert_eq!(map_quant("q82f"), "q8_2f");
+        assert_eq!(map_quant("Q8_ROW"), "q8");
+        assert_eq!(map_quant("Q4_BLOCK"), "q4");
+        assert_eq!(map_quant("Q4_TILED"), "q4t");
+        assert_eq!(map_quant("q4t"), "q4t");
+        assert_eq!(map_quant("vbit"), "vbit");
+        assert_eq!(map_quant("q1"), "q1");
+        assert_eq!(map_quant("Q1P"), "q1p");
+        assert_eq!(map_quant("q1s"), "q1s");
+        assert_eq!(map_quant("Q1T"), "q1t");
+        assert_eq!(map_quant("F16"), "f16");
+    }
+
+    #[test]
+    fn test_is_cmf_repo_check() {
+        assert!(is_cmf_repo("infosave/Bonsai-8B_2bit_cmf"));
+        assert!(is_cmf_repo("infosave/Bonsai-1.7Bcmf"));
+        assert!(is_cmf_repo("user/model.cmf"));
+        assert!(!is_cmf_repo("Qwen/Qwen2.5-0.5B-Instruct"));
+    }
+}

src/main.rs

@@ -61,6 +61,11 @@ fn resolve_admin_token(cfg: &Config, args: &Args) -> (String, bool) {
             return (t.clone(), false);
         }
     }
+    if let Some(t) = &cfg.admin.token {
+        if !t.is_empty() {
+            return (t.clone(), false);
+        }
+    }
     (admin::random_token(24), true)
 }
 

src/model.rs

@@ -29,6 +29,7 @@ pub struct GenParams {
     pub temperature: Option<f32>,
     pub max_tokens: Option<u32>,
     pub top_p: Option<f32>,
+    pub think_budget: Option<u32>,
     pub stop: Vec<String>,
     /// Fields we do not interpret but must proxy through to the provider.
     pub passthrough: serde_json::Map<String, serde_json::Value>,

src/pipeline.rs

@@ -341,7 +341,64 @@ impl Pipeline {
                 route_source
             );
 
-            match provider.chat(req.clone()).await {
+            let mut req_call = req.clone();
+            if let Some(m_cfg) = live.cfg.models.iter().find(|m| m.id == model_id) {
+                if req_call.params.temperature.is_none() {
+                    req_call.params.temperature = m_cfg.temperature;
+                }
+                if req_call.params.top_p.is_none() {
+                    req_call.params.top_p = m_cfg.top_p;
+                }
+                if req_call.params.max_tokens.is_none() {
+                    req_call.params.max_tokens = m_cfg.max_tokens;
+                }
+                if req_call.params.think_budget.is_none() {
+                    req_call.params.think_budget = m_cfg.think_budget;
+                }
+                if let Some(sys) = &m_cfg.system_prompt {
+                    if !sys.trim().is_empty()
+                        && !req_call.messages.iter().any(|m| m.role == "system")
+                    {
+                        req_call.messages.insert(
+                            0,
+                            Message {
+                                role: "system".into(),
+                                content: sys.clone(),
+                                tool_calls: Vec::new(),
+                            },
+                        );
+                    }
+                }
+            } else if let Some(s_cfg) = live.cfg.cmf.servers.iter().find(|s| s.id == model_id) {
+                if req_call.params.temperature.is_none() {
+                    req_call.params.temperature = s_cfg.temperature;
+                }
+                if req_call.params.top_p.is_none() {
+                    req_call.params.top_p = s_cfg.top_p;
+                }
+                if req_call.params.max_tokens.is_none() {
+                    req_call.params.max_tokens = s_cfg.max_tokens;
+                }
+                if req_call.params.think_budget.is_none() {
+                    req_call.params.think_budget = s_cfg.think_budget;
+                }
+                if let Some(sys) = &s_cfg.system_prompt {
+                    if !sys.trim().is_empty()
+                        && !req_call.messages.iter().any(|m| m.role == "system")
+                    {
+                        req_call.messages.insert(
+                            0,
+                            Message {
+                                role: "system".into(),
+                                content: sys.clone(),
+                                tool_calls: Vec::new(),
+                            },
+                        );
+                    }
+                }
+            }
+
+            match provider.chat(req_call).await {
                 Ok(mut resp) => {
                     let cost =
                         provider.price(resp.usage.prompt_tokens, resp.usage.completion_tokens);

src/protocols/anthropic_messages.rs

@@ -101,6 +101,7 @@ async fn handler(
             temperature: req.temperature,
             max_tokens: req.max_tokens,
             top_p: req.top_p,
+            think_budget: None,
             stop: Vec::new(),
             passthrough: Default::default(),
         },

src/protocols/openai_chat.rs

@@ -49,6 +49,10 @@ struct OpenAiChatRequest {
     #[serde(default)]
     top_p: Option<f32>,
     #[serde(default)]
+    think_budget: Option<u32>,
+    #[serde(default)]
+    reasoning_effort: Option<u32>,
+    #[serde(default)]
     stream: bool,
     #[serde(default)]
     tools: Vec<serde_json::Value>,
@@ -93,6 +97,7 @@ async fn handler(
             temperature: req.temperature,
             max_tokens: req.max_tokens,
             top_p: req.top_p,
+            think_budget: req.think_budget.or(req.reasoning_effort),
             stop: Vec::new(),
             passthrough: req.rest,
         },

src/protocols/openai_completions.rs

@@ -82,6 +82,7 @@ async fn handler(
             temperature: req.temperature,
             max_tokens: req.max_tokens,
             top_p: req.top_p,
+            think_budget: None,
             stop: Vec::new(),
             passthrough: Default::default(),
         },

src/providers/openai.rs

@@ -42,9 +42,16 @@ impl OpenAiProvider {
         if let Some(t) = req.params.temperature {
             body["temperature"] = t.into();
         }
+        if let Some(p) = req.params.top_p {
+            body["top_p"] = p.into();
+        }
         if let Some(m) = req.params.max_tokens {
             body["max_tokens"] = m.into();
         }
+        if let Some(tb) = req.params.think_budget {
+            body["think_budget"] = tb.into();
+            body["reasoning_effort"] = tb.into();
+        }
         if !req.tools.is_empty() {
             body["tools"] = serde_json::Value::Array(req.tools.clone());
         }

src/registry.rs

@@ -21,7 +21,10 @@ impl Registry {
                 .as_ref()
                 .and_then(|name| secrets.resolve(name));
             let provider: Arc<dyn Provider> = match m.provider.as_str() {
-                "openai" | "ollama" | "http" => Arc::new(OpenAiProvider::new(m, api_key)?),
+                // openrouter + lmstudio are OpenAI-compatible (Bearer + /chat/completions)
+                "openai" | "ollama" | "http" | "openrouter" | "lmstudio" => {
+                    Arc::new(OpenAiProvider::new(m, api_key)?)
+                }
                 "anthropic" => Arc::new(AnthropicProvider::new(m, api_key)?),
                 other => anyhow::bail!("unknown provider '{}' for model '{}'", other, m.id),
             };
@@ -46,6 +49,13 @@ impl Registry {
                 kind: "chat".into(),
                 api_key_env: None,
                 caps: Vec::new(),
+                temperature: s.temperature,
+                top_p: s.top_p,
+                max_tokens: s.max_tokens,
+                think_budget: s.think_budget,
+                system_prompt: s.system_prompt.clone(),
+                o1: s.o1.clone(),
+                skip_mtp: s.skip_mtp,
             };
             by_id.insert(m.id.clone(), Arc::new(OpenAiProvider::new(&m, None)?));
         }

src/state.rs

@@ -145,6 +145,14 @@ impl AppState {
         let live = Live::build(new_cfg.clone(), &self.secrets, self.router_status.clone())?;
         new_cfg.save(&self.config_path)?;
         self.live.store(Arc::new(live));
+
+        let cmf_rt = self.cmf.clone();
+        let cmf_cfg = new_cfg.cmf.clone();
+        tokio::spawn(async move {
+            cmf_rt.stop().await;
+            crate::cmf_runtime::manage(cmf_rt, cmf_cfg).await;
+        });
+
         Ok(())
     }
 

src/stats.rs

@@ -83,9 +83,23 @@ impl Totals {
         self.cost_usd += r.cost_usd;
         self.latency_ms_sum += r.latency_ms;
     }
+    /// Accumulate another Totals into this one (for windowed aggregation).
+    fn merge(&mut self, o: &Totals) {
+        self.requests += o.requests;
+        self.ok += o.ok;
+        self.errors += o.errors;
+        self.failovers += o.failovers;
+        self.prompt_tokens += o.prompt_tokens;
+        self.completion_tokens += o.completion_tokens;
+        self.cost_usd += o.cost_usd;
+        self.latency_ms_sum += o.latency_ms_sum;
+    }
 }
 
-/// Per-minute bucket for time-series charts.
+/// Per-minute bucket. Beyond the chart fields it carries the per-group breakdown
+/// and failovers so the admin snapshot can be computed for ANY time window by
+/// summing the in-window buckets (the internal fields are not serialized into
+/// the `series` payload).
 #[derive(Clone, Debug, Default, Serialize)]
 pub struct Bucket {
     pub minute: u64, // unix seconds, rounded down to the minute
@@ -95,15 +109,25 @@ pub struct Bucket {
     pub completion_tokens: u64,
     pub cost_usd: f64,
     pub latency_ms_sum: u64,
+    #[serde(skip)]
+    pub failovers: u64,
+    #[serde(skip)]
+    pub by_model: HashMap<String, Totals>,
+    #[serde(skip)]
+    pub by_account: HashMap<String, Totals>,
+    #[serde(skip)]
+    pub by_tier: HashMap<String, Totals>,
+    #[serde(skip)]
+    pub by_label: HashMap<String, Totals>,
 }
 
 #[derive(Default)]
 struct Inner {
+    /// All-time totals + per-model (used by the Prometheus counters, which must
+    /// be monotonic — the windowed admin snapshot is derived from the buckets).
     total: Totals,
     by_model: HashMap<String, Totals>,
-    by_account: HashMap<String, Totals>,
-    by_tier: HashMap<String, Totals>,
-    by_label: HashMap<String, Totals>,
+    /// Per-minute buckets — the single source for the windowed admin snapshot.
     buckets: VecDeque<Bucket>,
     recent: VecDeque<RequestRecord>,
 }
@@ -166,31 +190,14 @@ impl Stats {
     }
 
     fn apply_aggregates(inner: &mut Inner, rec: &RequestRecord, retention_secs: u64) {
+        // all-time counters for Prometheus; the windowed snapshot is derived
+        // from the buckets below.
         inner.total.apply(rec);
         inner
             .by_model
             .entry(rec.model_id.clone())
             .or_default()
             .apply(rec);
-        inner
-            .by_account
-            .entry(if rec.account.is_empty() {
-                "anonymous".to_string()
-            } else {
-                rec.account.clone()
-            })
-            .or_default()
-            .apply(rec);
-        inner
-            .by_tier
-            .entry(rec.tier.clone())
-            .or_default()
-            .apply(rec);
-        inner
-            .by_label
-            .entry(rec.task_label.clone())
-            .or_default()
-            .apply(rec);
 
         let minute = rec.ts - (rec.ts % 60);
         match inner.buckets.back_mut() {
@@ -250,13 +257,31 @@ impl Stats {
             .filter(|b| b.minute >= cutoff)
             .collect();
 
-        let breakdown_src = match groupby {
-            "account" => &inner.by_account,
-            "tier" => &inner.by_tier,
-            "label" => &inner.by_label,
-            _ => &inner.by_model,
-        };
-        let mut breakdown: Vec<serde_json::Value> = breakdown_src
+        // Windowed totals + breakdown = sum of the in-window buckets, so the KPIs
+        // and the breakdown recompute whenever the range changes.
+        let mut win = Totals::default();
+        let mut group: HashMap<String, Totals> = HashMap::new();
+        for b in &series {
+            win.requests += b.requests;
+            win.errors += b.errors;
+            win.ok += b.requests.saturating_sub(b.errors);
+            win.failovers += b.failovers;
+            win.prompt_tokens += b.prompt_tokens;
+            win.completion_tokens += b.completion_tokens;
+            win.cost_usd += b.cost_usd;
+            win.latency_ms_sum += b.latency_ms_sum;
+            let src = match groupby {
+                "account" => &b.by_account,
+                "tier" => &b.by_tier,
+                "label" => &b.by_label,
+                _ => &b.by_model,
+            };
+            for (k, t) in src {
+                group.entry(k.clone()).or_default().merge(t);
+            }
+        }
+
+        let mut breakdown: Vec<serde_json::Value> = group
             .iter()
             .map(|(k, t)| {
                 serde_json::json!({
@@ -280,17 +305,17 @@ impl Stats {
 
         serde_json::json!({
             "totals": {
-                "requests": inner.total.requests,
-                "ok": inner.total.ok,
-                "errors": inner.total.errors,
-                "failovers": inner.total.failovers,
-                "prompt_tokens": inner.total.prompt_tokens,
-                "completion_tokens": inner.total.completion_tokens,
-                "total_tokens": inner.total.prompt_tokens + inner.total.completion_tokens,
-                "cost_usd": inner.total.cost_usd,
-                "avg_latency_ms": avg(inner.total.latency_ms_sum, inner.total.requests),
-                "success_rate": if inner.total.requests > 0 {
-                    inner.total.ok as f64 / inner.total.requests as f64
+                "requests": win.requests,
+                "ok": win.ok,
+                "errors": win.errors,
+                "failovers": win.failovers,
+                "prompt_tokens": win.prompt_tokens,
+                "completion_tokens": win.completion_tokens,
+                "total_tokens": win.prompt_tokens + win.completion_tokens,
+                "cost_usd": win.cost_usd,
+                "avg_latency_ms": avg(win.latency_ms_sum, win.requests),
+                "success_rate": if win.requests > 0 {
+                    win.ok as f64 / win.requests as f64
                 } else { 0.0 },
             },
             "groupby": groupby,
@@ -299,6 +324,18 @@ impl Stats {
         })
     }
 
+    /// Reset all in-memory stats and truncate the JSONL log — the "clear logs"
+    /// admin action.
+    pub fn clear(&self) {
+        {
+            let mut inner = self.inner.lock().unwrap();
+            *inner = Inner::default();
+        }
+        if let Some(path) = &self.file {
+            let _ = std::fs::write(path, "");
+        }
+    }
+
     /// Recent requests (newest first), with pagination.
     pub fn recent(&self, limit: usize, offset: usize) -> Vec<RequestRecord> {
         let inner = self.inner.lock().unwrap();
@@ -358,10 +395,25 @@ fn fill_bucket(b: &mut Bucket, r: &RequestRecord) {
     if r.outcome != "ok" {
         b.errors += 1;
     }
+    if r.failover {
+        b.failovers += 1;
+    }
     b.prompt_tokens += r.prompt_tokens as u64;
     b.completion_tokens += r.completion_tokens as u64;
     b.cost_usd += r.cost_usd;
     b.latency_ms_sum += r.latency_ms;
+    // per-group breakdown, so the snapshot can be windowed by summing buckets
+    b.by_model.entry(r.model_id.clone()).or_default().apply(r);
+    b.by_account
+        .entry(if r.account.is_empty() {
+            "anonymous".to_string()
+        } else {
+            r.account.clone()
+        })
+        .or_default()
+        .apply(r);
+    b.by_tier.entry(r.tier.clone()).or_default().apply(r);
+    b.by_label.entry(r.task_label.clone()).or_default().apply(r);
 }
 
 fn avg(sum: u64, n: u64) -> u64 {

web/css/styles.css

@@ -397,3 +397,170 @@ tbody tr:hover td { background: var(--hover); }
 .mono.kv { display: flex; gap: 6px; padding: 1px 0; white-space: normal; overflow-wrap: anywhere; word-break: break-word; }
 .mono.kv .kv-k { color: var(--muted, #9aa4b2); flex: 0 0 auto; }
 .mono.kv .kv-v { font-weight: 600; overflow-wrap: anywhere; word-break: break-word; min-width: 0; }
+
+/* ---- responsive shell + touch layout ----------------------------------- */
+.menu-toggle, .nav-close, .mobile-nav-backdrop { display: none; }
+.hamburger { width: 18px; display: flex; flex-direction: column; gap: 4px; }
+.hamburger i { display: block; height: 2px; border-radius: 2px; background: currentColor; }
+body.modal-open { overflow: hidden; }
+
+@media (max-width: 980px) {
+  .app { display: block; min-height: 100dvh; }
+  .main { min-height: 100dvh; }
+  .menu-toggle { display: inline-flex; flex: 0 0 auto; }
+  .nav-close { display: inline-flex; margin-left: auto; flex: 0 0 auto; font-size: 24px; line-height: 1; }
+  .brand-copy { min-width: 0; }
+
+  .sidebar {
+    display: flex;
+    position: fixed;
+    inset: 0 auto 0 0;
+    width: min(84vw, 310px);
+    height: 100dvh;
+    padding: max(18px, env(safe-area-inset-top)) 14px max(14px, env(safe-area-inset-bottom));
+    z-index: 70;
+    box-shadow: 18px 0 45px rgba(0, 0, 0, .42);
+    transform: translateX(-104%);
+    visibility: hidden;
+    transition: transform .22s ease, visibility 0s linear .22s;
+    overflow-y: auto;
+  }
+  .app.nav-open .sidebar {
+    transform: translateX(0);
+    visibility: visible;
+    transition: transform .22s ease;
+  }
+  .mobile-nav-backdrop {
+    display: block;
+    position: fixed;
+    inset: 0;
+    z-index: 65;
+    width: 100%;
+    height: 100%;
+    border: 0;
+    background: rgba(3, 7, 18, .62);
+    opacity: 0;
+    visibility: hidden;
+    pointer-events: none;
+    transition: opacity .22s ease, visibility 0s linear .22s;
+  }
+  .app.nav-open .mobile-nav-backdrop {
+    opacity: 1;
+    visibility: visible;
+    pointer-events: auto;
+    transition: opacity .22s ease;
+  }
+  body.mobile-nav-open { overflow: hidden; }
+
+  .topbar { padding: 10px 18px; min-height: 58px; gap: 10px; }
+  .topbar .title { min-width: 0; overflow: hidden; text-overflow: ellipsis; white-space: nowrap; }
+  .topbar .right { gap: 8px; min-width: 0; }
+  .content { max-width: none; padding: 22px 20px 52px; }
+}
+
+@media (max-width: 720px) {
+  body { font-size: 14px; }
+  .status-pills { display: none; }
+  .topbar { padding: 9px 12px; }
+  .content { padding: 18px 14px 42px; }
+
+  .page-head { margin-bottom: 16px; }
+  .page-head > .flex { align-items: stretch; flex-direction: column; }
+  .page-head > .flex > .btn { width: 100%; }
+  .page-head p { line-height: 1.45; }
+
+  .card { padding: 15px; margin-bottom: 14px; border-radius: 12px; }
+  .card .card-head { align-items: flex-start; flex-wrap: wrap; }
+  .card .card-head .right { width: 100%; margin-left: 0; flex-wrap: wrap; }
+  .grid { gap: 14px; }
+  .kpis { gap: 10px; margin-bottom: 14px; }
+  .kpi { padding: 12px; border-radius: 11px; }
+  .kpi .big { font-size: 21px; }
+
+  .row { display: grid; grid-template-columns: minmax(0, 1fr); gap: 0; }
+  .row > * { min-width: 0; width: 100%; }
+  input, select, textarea { min-height: 44px; font-size: 16px; }
+  input[type="checkbox"], input[type="radio"] { min-height: 0; }
+  .check { min-height: 36px; margin-bottom: 8px; }
+  .btn, .icon-btn { min-height: 44px; }
+  .btn { padding: 10px 14px; }
+  .btn.sm, .btn.small { min-height: 38px; padding: 8px 11px; }
+
+  .table-wrap {
+    width: 100%;
+    overflow-x: auto;
+    overscroll-behavior-x: contain;
+    -webkit-overflow-scrolling: touch;
+    scrollbar-width: thin;
+  }
+  .table-wrap table { min-width: max-content; }
+  th, td { padding: 10px; }
+
+  .tierrow { align-items: flex-start; flex-direction: column; gap: 8px; }
+  .tierrow .tname { width: auto; }
+  .chips { width: 100%; }
+  .togglerow { align-items: flex-start; }
+
+  .pg { gap: 14px; }
+  .routecard .kv { flex-wrap: wrap; }
+  .routecard .kv .v { max-width: 100%; overflow-wrap: anywhere; }
+  .answer { padding: 12px; }
+  .seg { max-width: 100%; overflow-x: auto; }
+  .seg button { min-height: 40px; white-space: nowrap; }
+
+  .hf-grid { grid-template-columns: 1fr; max-height: 56dvh; }
+  .job-head, .actions { align-items: stretch; flex-wrap: wrap; }
+  .actions .btn { flex: 1 1 150px; }
+  .key-row { flex-direction: column; }
+  .key-row .btn { width: 100%; }
+  .cmf-server-row { align-items: stretch !important; padding: 10px; border: 1px solid var(--border-soft); border-radius: 10px; }
+  .cmf-server-row > input, .cmf-server-row > select { width: 100% !important; min-width: 0 !important; flex: 1 1 100% !important; }
+  .cmf-server-row > .btn { flex: 1 1 calc(50% - 6px); }
+  .cmf-server-row > .small { flex: 1 1 100%; }
+
+  .modal-backdrop { align-items: flex-end; padding: 8px 0 0; }
+  .modal {
+    max-width: none;
+    max-height: calc(100dvh - 8px);
+    overflow-y: auto;
+    padding: 18px 15px max(14px, env(safe-area-inset-bottom));
+    border-radius: 18px 18px 0 0;
+  }
+  .modal .modal-foot {
+    position: sticky;
+    bottom: calc(-1 * max(14px, env(safe-area-inset-bottom)));
+    margin: 12px -15px 0;
+    padding: 12px 15px max(14px, env(safe-area-inset-bottom));
+    background: color-mix(in srgb, var(--card) 94%, transparent);
+    backdrop-filter: blur(10px);
+    border-top: 1px solid var(--border-soft);
+  }
+  .modal .modal-foot .btn { flex: 1; }
+
+  .toasts { left: 12px; right: 12px; bottom: max(12px, env(safe-area-inset-bottom)); }
+  .toast { min-width: 0; width: 100%; }
+  .login-wrap { align-items: flex-start; padding: max(20px, env(safe-area-inset-top)) 14px; }
+  .login-card { padding: 22px 18px; margin-top: 8dvh; }
+}
+
+@media (max-width: 480px) {
+  .topbar .title { font-size: 14px; }
+  .topbar .right { gap: 6px; }
+  .lang-select { width: 54px; min-height: 44px; padding: 6px; }
+  .icon-btn { width: 42px; height: 42px; }
+  .kpis { grid-template-columns: repeat(2, minmax(0, 1fr)); }
+  .kpi .lbl { line-height: 1.25; }
+  .barlist .b { grid-template-columns: minmax(0, 1fr) auto; gap: 6px 10px; }
+  .barlist .b .track { grid-column: 1 / -1; grid-row: 2; }
+  .barlist .b .val { min-width: 0; }
+  .empty { padding: 28px 12px; }
+}
+
+@media (max-width: 360px) {
+  .topbar .title { display: none; }
+  .kpis { grid-template-columns: 1fr; }
+}
+
+@media (prefers-reduced-motion: reduce) {
+  .sidebar, .mobile-nav-backdrop { transition: none; }
+}

web/js/api.js

@@ -87,6 +87,7 @@ export const api = {
 
   // stats
   stats: (range, groupby) => j("GET", `/stats?range=${range}&groupby=${groupby}`),
+  clearStats: () => j("DELETE", "/stats"),
   requests: (limit = 50, offset = 0) => j("GET", `/requests?limit=${limit}&offset=${offset}`),
 
   // playground
@@ -99,6 +100,8 @@ export const api = {
   cmfStatus: () => j("GET", "/cmf"),
   cmfInstall: () => j("POST", "/cmf/install"),
   cmfPortCheck: (port) => j("GET", "/cmf/port?port=" + encodeURIComponent(port)),
+  cmfFiles: () => j("GET", "/cmf/files"),
+  providerModels: (b) => j("POST", "/provider/models", b),
 
   // CMF model factory (HuggingFace → local .cmf)
   hfSearch: (q, limit = 24) =>

web/js/app.js

@@ -28,6 +28,17 @@ export const appState = { meta: null, health: null, version: "" };
 // allaigate site — where router keys are issued and topped up
 export const SITE_URL = "https://api.allaigate.com/";
 
+let mobileNavOpen = false;
+
+function setMobileNav(open) {
+  mobileNavOpen = !!open;
+  const app = document.querySelector(".app");
+  if (app) app.classList.toggle("nav-open", mobileNavOpen);
+  document.body.classList.toggle("mobile-nav-open", mobileNavOpen);
+  const toggle = document.querySelector(".menu-toggle");
+  if (toggle) toggle.setAttribute("aria-expanded", String(mobileNavOpen));
+}
+
 function currentRoute() {
   const id = location.hash.replace(/^#\/?/, "") || "dashboard";
   return ROUTES.find((r) => r.id === id) || ROUTES[0];
@@ -42,17 +53,18 @@ const FAVICON =
 function sidebar(activeId) {
   return h(
     "aside",
-    { class: "sidebar", id: "sidebar" },
+    { class: "sidebar", id: "sidebar", "aria-label": "Main navigation" },
     h(
       "div",
       { class: "brand" },
       h("img", { src: FAVICON, alt: "" }),
-      h("div", {}, h("b", {}, "allaigate"), h("div", { class: "sub" }, t("brand.sub")))
+      h("div", { class: "brand-copy" }, h("b", {}, "allaigate"), h("div", { class: "sub" }, t("brand.sub"))),
+      h("button", { class: "icon-btn nav-close", type: "button", title: "Close menu", "aria-label": "Close menu", onClick: () => setMobileNav(false) }, "×")
     ),
     ...ROUTES.map((r) =>
       h(
         "a",
-        { class: "nav-item" + (r.id === activeId ? " active" : ""), href: "#/" + r.id },
+        { class: "nav-item" + (r.id === activeId ? " active" : ""), href: "#/" + r.id, onClick: () => setMobileNav(false) },
         h("span", { class: "ico" }, r.icon),
         t("nav." + r.id)
       )
@@ -85,7 +97,7 @@ function statusPills() {
     : t("status.checking");
   return h(
     "div",
-    { class: "flex" },
+    { class: "flex status-pills" },
     h(
       "span",
       { class: "pill" },
@@ -136,6 +148,19 @@ function topbar(activeId) {
   return h(
     "header",
     { class: "topbar" },
+    h(
+      "button",
+      {
+        class: "icon-btn menu-toggle",
+        type: "button",
+        title: "Menu",
+        "aria-label": "Open menu",
+        "aria-controls": "sidebar",
+        "aria-expanded": String(mobileNavOpen),
+        onClick: () => setMobileNav(!mobileNavOpen),
+      },
+      h("span", { class: "hamburger", "aria-hidden": "true" }, h("i"), h("i"), h("i"))
+    ),
     h("div", { class: "title" }, t("nav." + activeId)),
     h(
       "div",
@@ -175,12 +200,15 @@ async function renderView() {
 
 function renderShell() {
   const route = currentRoute();
+  mobileNavOpen = false;
+  document.body.classList.remove("mobile-nav-open");
   mount(
     document.getElementById("app"),
     h(
       "div",
       { class: "app" },
       sidebar(route.id),
+      h("button", { class: "mobile-nav-backdrop", type: "button", tabindex: "-1", "aria-label": "Close menu", onClick: () => setMobileNav(false) }),
       h("main", { class: "main" }, topbar(route.id), h("div", { class: "content", id: "view" }))
     )
   );
@@ -243,6 +271,12 @@ onLangChange(() => {
 window.addEventListener("hashchange", () => {
   if (document.querySelector(".app")) renderShell();
 });
+window.addEventListener("keydown", (e) => {
+  if (e.key === "Escape" && mobileNavOpen) setMobileNav(false);
+});
+window.addEventListener("resize", () => {
+  if (window.innerWidth > 980 && mobileNavOpen) setMobileNav(false);
+});
 setInterval(() => {
   if (document.querySelector(".app")) refreshHealth();
 }, 20000);

web/js/i18n/en.js

@@ -59,6 +59,9 @@ export default {
   // dashboard
   "dash.title": "Dashboard",
   "dash.subtitle": "Live traffic, cost and routing analytics for your model pool.",
+  "dash.clear": "Clear logs",
+  "dash.clearConfirm": "Clear all recorded stats and logs? This cannot be undone.",
+  "dash.cleared": "Logs cleared",
   "dash.range": "Range",
   "dash.range.1h": "1h",
   "dash.range.24h": "24h",
@@ -129,6 +132,30 @@ export default {
   "models.form.secretMissing": "not set",
   "models.form.secretPlaceholder": "set or replace key (write-only)",
   "models.deleteConfirm": "Delete model \"{id}\"?",
+  "models.form.idOrModel": "Enter an id or a model name",
+  "models.form.apiKey": "API Key",
+  "models.form.apiKeyPlaceholder": "paste your API key",
+  "models.form.apiKeyNotNeeded": "not required (local server)",
+  "models.form.apiKeyHint": "Stored securely on the gateway; it is not shown again.",
+  "models.form.keyStored": "A key is saved — leave blank to keep it, or paste a new one.",
+  "models.form.keyFromEnv": "Using a key from an environment variable.",
+  "models.form.paramsTitle": "Generation & Thinking Parameters (O(1), MTP, Temperature)",
+  "models.form.temperature": "Temperature",
+  "models.form.temperatureHint": "Generation temperature (0.0 = deterministic, 1.0+ = creative).",
+  "models.form.topP": "Top-P (Nucleus Sampling)",
+  "models.form.topPHint": "Sampling threshold (0.0 .. 1.0).",
+  "models.form.maxTokens": "Max Tokens",
+  "models.form.maxTokensHint": "Maximum completion tokens to generate.",
+  "models.form.thinkBudget": "Thinking Mode / Think Budget",
+  "models.form.thinkBudgetHint": "Reasoning token budget (0 = disabled, N > 0 = max reasoning tokens).",
+  "models.form.systemPrompt": "Default System Prompt",
+  "models.form.systemPromptHint": "Prepend automatically if request lacks a system prompt.",
+  "models.form.systemPromptPlaceholder": "You are a helpful assistant...",
+  "models.form.testKey": "Test & load models",
+  "models.form.testing": "checking…",
+  "models.form.foundModels": "{n} models loaded",
+  "models.form.modelPlaceholder": "type to search…",
+  "models.form.modelHint": "Click “Test & load models” to pull the list from your key, then pick one.",
   "models.managed": "managed",
   "models.managedHint": "Provided by the managed CMF server (Settings → Local models). Configure it there.",
 
@@ -244,9 +271,10 @@ export default {
   "settings.cmf.threads": "Worker threads",
   "settings.cmf.gpu": "Use GPU (Metal / wgpu)",
   "settings.cmf.speedNote": "Threads parallelise the decode matvecs (~3x faster; 0 = runtime default). GPU offload mainly helps prefill of long prompts — decode is memory-bandwidth-bound, so on Apple Silicon it is roughly neutral.",
+  "settings.cmf.pick": "select a model",
   "settings.cmf.models": "Local models",
   "settings.cmf.modelsHelp": "Each row is one model the gateway runs (its own cortiq serve on its own port) and registers in the pool. Add as many as you have .cmf files and free ports.",
-  "settings.cmf.rowHint": "id · path to .cmf · port · threads · GPU. Changes apply on restart; deleting a row stops that server.",
+  "settings.cmf.rowHint": "id · .cmf file · port · threads · GPU. Changes apply on restart; deleting a row stops that server.",
   "settings.cmf.addServer": "+ Add local model",
   "settings.cmf.checkPort": "Check port",
   "settings.cmf.portFree": "port is free",
@@ -303,6 +331,10 @@ export default {
   "settings.route.maxChars": "Max chars",
   "settings.route.cacheTtl": "Cache TTL",
   "settings.route.profile": "Default profile",
+  "settings.route.strategyHelp": "What text is sent to the router for classification: last_user = only the last user message; last_user_plus_system = last user message + system prompt; concat_all = the whole conversation.",
+  "settings.route.maxCharsHelp": "Max characters of that text sent to the router (longer is truncated). More = more accurate classification, but slower/pricier router calls.",
+  "settings.route.cacheTtlHelp": "How long a routing decision is cached for an identical request before the router is asked again (e.g. 60s, 5m).",
+  "settings.route.profileHelp": "Default routing profile when a request doesn't specify one: cost-saver (cheapest), balanced, or quality-first (best model). Biases which model the router picks.",
   "settings.breaker": "Circuit breaker",
   "settings.breaker.threshold": "Error threshold",
   "settings.breaker.cooldown": "Cooldown",
@@ -354,7 +386,7 @@ export default {
   "import.failed": "Conversion failed — see the log.",
   "import.register": "Register as local model",
   "import.registered": "Registered as '{id}'. Run cortiq-server to serve it.",
-  "import.jobs": "Conversions",
+  "import.jobs": "Downloads & Conversions",
   "import.cancel": "Cancel",
   "import.cancelling": "Cancelling — cleaning up partial output…",
   "import.delete": "Delete",
@@ -364,12 +396,21 @@ export default {
   "import.state.done": "done",
   "import.state.error": "error",
   "import.state.cancelled": "cancelled",
+  "import.featuredTitle": "Featured Ready-to-Run .cmf Models",
+  "import.readyCmfBadge": "Ready .cmf",
+  "import.directDownload": "Download",
   "import.q.q8_2f": "8-bit two-field (𝒲×θ) — recommended: best quality/size.",
   "import.q.q8_row": "8-bit per-row — simple, robust.",
   "import.q.q4": "4-bit block — smallest, lower quality.",
+  "import.q.q4_tiled": "4-bit tiled (Q4_TILED) — 1.66x faster on Metal GPU.",
   "import.q.vbit": "Variable 3–8 bit — per-expert bit budgets.",
+  "import.q.q1t": "1.58-bit ternary (Q1T) — BitNet b1.58 with sparse outliers.",
+  "import.q.q1s": "1-bit sparse (Q1S) — 1-bit base with holographic outliers.",
+  "import.q.q1p": "1-bit PTQ (Q1P) — 1-bit with error diffusion.",
+  "import.q.q1": "1-bit (Q1) — pure binary format.",
   "import.q.f16": "16-bit — no quantization.",
   "import.q.f32": "32-bit — full precision (large file).",
+
   "import.adv.title": "Advanced settings",
   "import.adv.auto": "auto",
   "import.adv.linearCore": "Linear core",
@@ -380,4 +421,15 @@ export default {
   "import.adv.shard": "Shard max (GB)",
   "import.adv.noShard": "no sharding",
   "import.adv.skipMtp": "skip MTP head",
+  "import.adv.o1": "O(1) attention",
+  "import.adv.o1Hint": "Constant-memory streaming attention: the KV cache is released after prefill, so long contexts don't grow memory. Weights stay byte-identical — only a load-time hint is recorded; you can switch back anytime (serve with --o1 off). Validated on Qwen3-0.6B: all layers ≈ ×1.18 perplexity.",
+  "import.adv.o1Off": "off — exact attention (default)",
+  "import.adv.o1All": "all — convert every softmax layer",
+  "import.adv.o1Deep": "deep N — only the N deepest layers",
+  "import.adv.o1Custom": "custom — explicit layer list",
+  "import.adv.o1DeepN": "N deep layers",
+  "import.adv.o1Layers": "Layers (comma-separated)",
+  "import.adv.o1mHint": "landmark budget (default 32)",
+  "import.adv.o1windowHint": "exact-window width (default 128)",
+  "import.adv.o1sinkHint": "permanent exact sink keys (default 4)",
 };

web/js/i18n/ru.js

@@ -58,6 +58,9 @@ export default {
   // dashboard
   "dash.title": "Дашборд",
   "dash.subtitle": "Трафик в реальном времени, расходы и аналитика роутинга по пулу моделей.",
+  "dash.clear": "Очистить логи",
+  "dash.clearConfirm": "Очистить всю статистику и логи? Отменить нельзя.",
+  "dash.cleared": "Логи очищены",
   "dash.range": "Период",
   "dash.range.1h": "1ч",
   "dash.range.24h": "24ч",
@@ -128,6 +131,30 @@ export default {
   "models.form.secretMissing": "не задан",
   "models.form.secretPlaceholder": "задать или заменить ключ (только запись)",
   "models.deleteConfirm": "Удалить модель \"{id}\"?",
+  "models.form.idOrModel": "Укажите id или имя модели",
+  "models.form.apiKey": "API-ключ",
+  "models.form.apiKeyPlaceholder": "вставьте API-ключ",
+  "models.form.apiKeyNotNeeded": "не нужен (локальный сервер)",
+  "models.form.apiKeyHint": "Хранится безопасно на шлюзе; больше не показывается.",
+  "models.form.keyStored": "Ключ сохранён — оставьте пустым, чтобы не менять, или вставьте новый.",
+  "models.form.keyFromEnv": "Используется ключ из переменной окружения.",
+  "models.form.paramsTitle": "Параметры генерации, O(1) и режим размышления",
+  "models.form.temperature": "Температура",
+  "models.form.temperatureHint": "Температура генерации (0.0 — точные факты, 1.0+ — творчество).",
+  "models.form.topP": "Top-P (Nucleus Sampling)",
+  "models.form.topPHint": "Порог сэмплирования токенов (0.0 .. 1.0).",
+  "models.form.maxTokens": "Макс. токенов (Max Tokens)",
+  "models.form.maxTokensHint": "Максимальное количество генерируемых токенов.",
+  "models.form.thinkBudget": "Режим размышления / Think Budget",
+  "models.form.thinkBudgetHint": "Бюджет токенов мыслей (0 = выключен, N > 0 = лимит рассуждений).",
+  "models.form.systemPrompt": "Системный промпт по умолчанию",
+  "models.form.systemPromptHint": "Автоматически подставляется, если запрос не содержит системное сообщение.",
+  "models.form.systemPromptPlaceholder": "Вы — полезный ассистент...",
+  "models.form.testKey": "Проверить и загрузить модели",
+  "models.form.testing": "проверка…",
+  "models.form.foundModels": "загружено моделей: {n}",
+  "models.form.modelPlaceholder": "введите для поиска…",
+  "models.form.modelHint": "Нажмите «Проверить и загрузить модели», чтобы подтянуть список по ключу, затем выберите.",
   "models.managed": "управляемая",
   "models.managedHint": "Предоставляется CMF-сервером (Настройки → Локальные модели). Настраивается там.",
 
@@ -243,9 +270,10 @@ export default {
   "settings.cmf.threads": "Рабочие потоки",
   "settings.cmf.gpu": "Использовать GPU (Metal / wgpu)",
   "settings.cmf.speedNote": "Потоки распараллеливают декод-матвеки (~×3; 0 = по умолчанию рантайма). GPU-оффлоад помогает в основном на prefill длинных промптов — декод упирается в пропускную способность памяти, поэтому на Apple Silicon почти нейтрален.",
+  "settings.cmf.pick": "выберите модель",
   "settings.cmf.models": "Локальные модели",
   "settings.cmf.modelsHelp": "Каждая строка — отдельная модель: шлюз поднимает свой cortiq serve на своём порту и регистрирует её в пуле. Добавляйте столько, сколько есть .cmf-файлов и свободных портов.",
-  "settings.cmf.rowHint": "id · путь к .cmf · порт · потоки · GPU. Изменения применяются после перезапуска; удаление строки останавливает сервер.",
+  "settings.cmf.rowHint": "id · файл .cmf · порт · потоки · GPU. Изменения применяются после перезапуска; удаление строки останавливает сервер.",
   "settings.cmf.addServer": "+ Добавить модель",
   "settings.cmf.checkPort": "Проверить порт",
   "settings.cmf.portFree": "порт свободен",
@@ -302,6 +330,10 @@ export default {
   "settings.route.maxChars": "Макс. символов",
   "settings.route.cacheTtl": "TTL кэша",
   "settings.route.profile": "Профиль по умолчанию",
+  "settings.route.strategyHelp": "Какой текст отправляется роутеру для классификации: last_user — только последнее сообщение пользователя; last_user_plus_system — последнее сообщение + системный промпт; concat_all — вся переписка.",
+  "settings.route.maxCharsHelp": "Максимум символов этого текста, отправляемого роутеру (длиннее — обрезается). Больше = точнее классификация, но медленнее/дороже вызовы роутера.",
+  "settings.route.cacheTtlHelp": "Сколько кэшируется решение роутинга для одинакового запроса, прежде чем роутер спрашивается снова (напр. 60s, 5m).",
+  "settings.route.profileHelp": "Профиль роутинга по умолчанию, если запрос его не задаёт: cost-saver (дешевле), balanced (баланс) или quality-first (качество). Влияет на выбор модели роутером.",
   "settings.breaker": "Автоматический выключатель",
   "settings.breaker.threshold": "Порог ошибок",
   "settings.breaker.cooldown": "Время восстановления",
@@ -353,7 +385,7 @@ export default {
   "import.failed": "Конвертация не удалась — смотрите лог.",
   "import.register": "Подключить как локальную модель",
   "import.registered": "Подключено как '{id}'. Запустите cortiq-server для обслуживания.",
-  "import.jobs": "Конвертации",
+  "import.jobs": "Загрузки / Конвертации",
   "import.cancel": "Отменить",
   "import.cancelling": "Отмена — удаляю недописанный файл…",
   "import.delete": "Удалить",
@@ -363,12 +395,21 @@ export default {
   "import.state.done": "готово",
   "import.state.error": "ошибка",
   "import.state.cancelled": "отменено",
+  "import.featuredTitle": "Рекомендуемые готовые .cmf модели",
+  "import.readyCmfBadge": "Готовая .cmf",
+  "import.directDownload": "Скачать",
   "import.q.q8_2f": "8-бит двухполевой (𝒲×θ) — рекомендуется: лучшее качество/размер.",
   "import.q.q8_row": "8-бит построчно — просто, надёжно.",
   "import.q.q4": "4-бит блочно — компактнее, ниже качество.",
+  "import.q.q4_tiled": "4-бит тайловый (Q4_TILED) — х1.66 быстрее на Metal GPU.",
   "import.q.vbit": "Переменная 3–8 бит — per-expert бюджеты.",
+  "import.q.q1t": "1.58-бит тернарный (Q1T) — BitNet b1.58 с оутлайерами.",
+  "import.q.q1s": "1-бит спарс (Q1S) — 1-бит база с голографическими оутлайерами.",
+  "import.q.q1p": "1-бит PTQ (Q1P) — 1-бит с переносом ошибки (error diffusion).",
+  "import.q.q1": "1-бит (Q1) — чистый бинарный формат.",
   "import.q.f16": "16-бит — без квантования.",
   "import.q.f32": "32-бит — полная точность (большой файл).",
+
   "import.adv.title": "Расширенные настройки",
   "import.adv.auto": "авто",
   "import.adv.linearCore": "Линейное ядро",
@@ -379,4 +420,15 @@ export default {
   "import.adv.shard": "Шард макс (ГБ)",
   "import.adv.noShard": "без шардинга",
   "import.adv.skipMtp": "пропустить MTP-голову",
+  "import.adv.o1": "O(1)-внимание",
+  "import.adv.o1Hint": "Потоковое внимание с постоянной памятью: KV-кэш освобождается после prefill, длинный контекст не раздувает память. Веса не меняются — записывается лишь подсказка на загрузку; вернуться можно всегда (запуск с --o1 off). Проверено на Qwen3-0.6B: все слои ≈ ×1.18 перплексии.",
+  "import.adv.o1Off": "выкл — точное внимание (по умолчанию)",
+  "import.adv.o1All": "all — конвертировать все softmax-слои",
+  "import.adv.o1Deep": "deep N — только N самых глубоких слоёв",
+  "import.adv.o1Custom": "вручную — явный список слоёв",
+  "import.adv.o1DeepN": "N глубоких слоёв",
+  "import.adv.o1Layers": "Слои (через запятую)",
+  "import.adv.o1mHint": "число опорных точек (по умолчанию 32)",
+  "import.adv.o1windowHint": "ширина точного окна (по умолчанию 128)",
+  "import.adv.o1sinkHint": "постоянные точные sink-ключи (по умолчанию 4)",
 };

web/js/ui.js

@@ -23,9 +23,15 @@ export function clear(node) {
   while (node && node.firstChild) node.removeChild(node.firstChild);
 }
 
+export function opt(v, label, sel) {
+  return h("option", { value: v, selected: sel ? true : null }, label || v);
+}
+
 export function mount(node, ...children) {
   clear(node);
-  for (const c of children.flat()) if (c != null && c !== false) node.appendChild(c);
+  for (const c of children.flat())
+    if (c != null && c !== false)
+      node.appendChild(typeof c === "object" ? c : document.createTextNode(String(c)));
   return node;
 }
 
@@ -44,7 +50,14 @@ export function toast(msg, kind = "info", ms = 3200) {
 // Modal dialog. `body` is a DOM node; `onSave` returns a Promise; returns nothing.
 export function modal(title, body, onSave, saveLabel) {
   const backdrop = h("div", { class: "modal-backdrop" });
-  const close = () => backdrop.remove();
+  const onKeydown = (e) => {
+    if (e.key === "Escape") close();
+  };
+  const close = () => {
+    backdrop.remove();
+    document.body.classList.remove("modal-open");
+    document.removeEventListener("keydown", onKeydown);
+  };
   backdrop.addEventListener("click", (e) => {
     if (e.target === backdrop) close();
   });
@@ -71,6 +84,8 @@ export function modal(title, body, onSave, saveLabel) {
     )
   );
   backdrop.appendChild(card);
+  document.body.classList.add("modal-open");
+  document.addEventListener("keydown", onKeydown);
   document.body.appendChild(backdrop);
   return { close };
 }

web/js/views/dashboard.js

@@ -1,5 +1,5 @@
 // Dashboard — KPIs, time-series charts, breakdown, recent requests, health.
-import { h, mount, money, num, ms, pct, timeAgo } from "../ui.js";
+import { h, mount, money, num, ms, pct, timeAgo, toast, confirmDialog } from "../ui.js";
 import { t } from "../i18n.js";
 import { api } from "../api.js";
 import { lineChart, barList } from "../charts.js";
@@ -53,10 +53,24 @@ export async function renderDashboard() {
           "div",
           { class: "flex" },
           h("div", { class: "grow" }, h("h2", {}, t("dash.title")), h("p", {}, t("dash.subtitle"))),
-          seg(RANGES, range, (r) => {
-            range = r;
-            load();
-          }, (r) => t("dash.range." + r))
+          h("div", { class: "flex", style: "gap:8px;align-items:center" },
+            seg(RANGES, range, (r) => {
+              range = r;
+              load();
+            }, (r) => t("dash.range." + r)),
+            h("button", {
+              class: "btn sm danger",
+              onClick: async () => {
+                if (!(await confirmDialog(t("dash.clearConfirm")))) return;
+                try {
+                  await api.clearStats();
+                  toast(t("dash.cleared"), "good");
+                  await load();
+                } catch (e) {
+                  toast(String(e.message || e), "bad");
+                }
+              },
+            }, t("dash.clear")))
         )
       ),
 

web/js/views/import.js

@@ -2,7 +2,7 @@
 // live progress view. Search HF, pick quantization + advanced params, watch
 // the conversion (multiple in parallel, resumable across tab switches), then
 // register the result as a local model.
-import { h, mount, toast } from "../ui.js";
+import { h, mount, toast, opt } from "../ui.js";
 import { t } from "../i18n.js";
 import { api } from "../api.js";
 
@@ -10,18 +10,27 @@ const QUANTS = [
   ["Q8_2F", "import.q.q8_2f"],
   ["Q8_ROW", "import.q.q8_row"],
   ["Q4_BLOCK", "import.q.q4"],
+  ["Q4_TILED", "import.q.q4_tiled"],
   ["VBIT", "import.q.vbit"],
+  ["Q1T", "import.q.q1t"],
+  ["Q1S", "import.q.q1s"],
+  ["Q1P", "import.q.q1p"],
+  ["Q1", "import.q.q1"],
   ["F16", "import.q.f16"],
   ["F32", "import.q.f32"],
 ];
 
+const FEATURED_REPOS = [
+  { id: "infosave/Bonsai-1.7Bcmf", label: "Bonsai 1.7B CMF", badge: "1.7B · Q1", quant: "Q1" },
+  { id: "infosave/Bonsai-8B_2bit_cmf", label: "Bonsai 8B 2-bit CMF", badge: "8B · Q1T", quant: "Q1T" },
+  { id: "infosave/Bonsai-27Bcmf", label: "Bonsai 27B CMF", badge: "27B · Q1", quant: "Q1" },
+];
+
+
 function field(label, control, hint) {
   return h("label", { class: "field" }, h("span", {}, label), control,
     hint ? h("div", { class: "hint" }, hint) : null);
 }
-function opt(v, label, sel) {
-  return h("option", { value: v, selected: sel ? true : null }, label || v);
-}
 function fmtNum(n) {
   if (n == null) return "—";
   if (n >= 1e6) return (n / 1e6).toFixed(1) + "M";
@@ -125,6 +134,32 @@ export function renderImport() {
     const meanBitsIn = h("input", { type: "number", step: "0.1", placeholder: "5.0" });
     const shardIn = h("input", { type: "number", step: "0.5", placeholder: t("import.adv.noShard") });
     const skipMtp = h("input", { type: "checkbox" });
+    // O(1) attention (cortiq ≥ 0.2.0): constant-memory streaming attention hint,
+    // weights byte-identical — the runtime applies it at load.
+    const o1Sel = h("select", {},
+      opt("", t("import.adv.o1Off")),
+      opt("all", t("import.adv.o1All")),
+      opt("deep", t("import.adv.o1Deep")),
+      opt("custom", t("import.adv.o1Custom")));
+    const o1DeepIn = h("input", { type: "number", min: "1", placeholder: "12" });
+    const o1CustomIn = h("input", { placeholder: "0,4,8" });
+    const o1M = h("input", { type: "number", min: "1", placeholder: "32" });
+    const o1Window = h("input", { type: "number", min: "0", placeholder: "128" });
+    const o1Sink = h("input", { type: "number", min: "0", placeholder: "4" });
+    const o1SpecRow = h("div", { class: "row", style: "display:none" },
+      field(t("import.adv.o1DeepN"), o1DeepIn),
+      field(t("import.adv.o1Layers"), o1CustomIn));
+    const o1Knobs = h("div", { class: "row", style: "display:none" },
+      field("--o1-m", o1M, t("import.adv.o1mHint")),
+      field("--o1-window", o1Window, t("import.adv.o1windowHint")),
+      field("--o1-sink", o1Sink, t("import.adv.o1sinkHint")));
+    o1Sel.addEventListener("change", () => {
+      const on = !!o1Sel.value;
+      o1Knobs.style.display = on ? "" : "none";
+      o1SpecRow.style.display = o1Sel.value === "deep" || o1Sel.value === "custom" ? "" : "none";
+      o1DeepIn.parentElement.style.display = o1Sel.value === "deep" ? "" : "none";
+      o1CustomIn.parentElement.style.display = o1Sel.value === "custom" ? "" : "none";
+    });
     const advBody = h(
       "div",
       { class: "adv-body", style: "display:none" },
@@ -137,6 +172,9 @@ export function renderImport() {
       h("div", { class: "row" },
         field(t("import.adv.shard"), shardIn),
         field("MTP", h("label", { class: "check" }, skipMtp, t("import.adv.skipMtp")))),
+      field(t("import.adv.o1"), o1Sel, t("import.adv.o1Hint")),
+      o1SpecRow,
+      o1Knobs,
     );
     const advToggle = h("button", { class: "btn ghost sm" }, "⚙ " + t("import.adv.title"));
     advToggle.addEventListener("click", () => {
@@ -156,6 +194,19 @@ export function renderImport() {
       if (vbitSel.value) params.vbit_shape = vbitSel.value;
       if (meanBitsIn.value) params.mean_bits = parseFloat(meanBitsIn.value);
       if (shardIn.value) params.shard_max_gb = parseFloat(shardIn.value);
+      if (o1Sel.value) {
+        // spec: all | deepN | explicit layer list
+        params.o1 =
+          o1Sel.value === "deep" ? "deep" + (parseInt(o1DeepIn.value) || 12)
+          : o1Sel.value === "custom" ? o1CustomIn.value.trim()
+          : "all";
+        if (!params.o1) delete params.o1;
+        else {
+          if (o1M.value) params.o1_m = parseInt(o1M.value);
+          if (o1Window.value) params.o1_window = parseInt(o1Window.value);
+          if (o1Sink.value) params.o1_sink = parseInt(o1Sink.value);
+        }
+      }
       goBtn.disabled = true;
       try {
         await api.startImport(params);
@@ -316,6 +367,46 @@ export function renderImport() {
     );
   }
 
+  function featuredCard(item) {
+    const card = h(
+      "div",
+      { class: "hf-card featured-card" },
+      h("div", { class: "row", style: "align-items:center; justify-content:space-between;" },
+        h("div", {},
+          h("div", { class: "hf-id" }, item.label),
+          h("div", { class: "hf-meta" },
+            h("span", { class: "badge" }, item.badge),
+            h("span", { class: "muted" }, item.id)
+          )
+        ),
+        h("button", { class: "btn primary sm" }, "⬇ " + t("import.directDownload"))
+      )
+    );
+    card.querySelector("button").addEventListener("click", async (e) => {
+      e.stopPropagation();
+      try {
+        await api.startImport({
+          repo: item.id,
+          quant: item.quant || "READY_CMF",
+          name: item.id.split("/").pop().toLowerCase(),
+        });
+        toast(t("import.started"), "ok");
+        refreshJobs();
+        jobsHost.scrollIntoView({ behavior: "smooth", block: "nearest" });
+      } catch (err) {
+        toast(err.message, "err");
+      }
+    });
+    return card;
+  }
+
+  const featuredHost = h(
+    "div",
+    { class: "card featured-section" },
+    h("div", { class: "card-title" }, "⚡ " + t("import.featuredTitle")),
+    h("div", { class: "hf-grid" }, ...FEATURED_REPOS.map(featuredCard))
+  );
+
   const root = h(
     "div",
     {},
@@ -323,6 +414,7 @@ export function renderImport() {
       h("h2", {}, t("nav.import")),
       h("div", { class: "muted" }, t("import.subtitle"))),
     jobsHost, // progress panel on top, above the search
+    featuredHost, // featured ready-to-run models
     h("div", { class: "card" }, searchIn, results),
     formHost
   );
@@ -330,3 +422,4 @@ export function renderImport() {
   refreshJobs(); // resume: show any running/recent conversions immediately
   return root;
 }
+

web/js/views/models.js

@@ -1,5 +1,5 @@
 // Models — pool table with add/edit modal, probe, and per-model secret entry.
-import { h, mount, modal, toast, confirmDialog, money } from "../ui.js";
+import { h, mount, modal, toast, confirmDialog, money, opt } from "../ui.js";
 import { t } from "../i18n.js";
 import { api } from "../api.js";
 import { appState } from "../app.js";
@@ -7,61 +7,186 @@ import { appState } from "../app.js";
 function field(label, control, hint) {
   return h("label", { class: "field" }, h("span", {}, label), control, hint ? h("div", { class: "hint" }, hint) : null);
 }
-function opt(v, label, sel) {
-  return h("option", { value: v, selected: sel ? true : null }, label || v);
-}
 
 function keyBadge(src) {
   const map = { store: "store", env: "env", missing: "bad", none: "" };
   return h("span", { class: "badge " + (map[src] ?? "") }, src);
 }
 
+// Verified per-provider defaults (base URL, key env, whether a key is needed).
+const PROVIDER_DEFAULTS = {
+  openai:     { base: "https://api.openai.com/v1",    keyEnv: "OPENAI_API_KEY",     needsKey: true,  tier: "mid",       caps: ["tools", "vision"] },
+  anthropic:  { base: "https://api.anthropic.com",    keyEnv: "ANTHROPIC_API_KEY",  needsKey: true,  tier: "expensive", caps: ["tools", "vision"] },
+  openrouter: { base: "https://openrouter.ai/api/v1", keyEnv: "OPENROUTER_API_KEY", needsKey: true,  tier: "mid",       caps: ["tools", "vision"] },
+  lmstudio:   { base: "http://localhost:1234/v1",     keyEnv: "",                   needsKey: false, tier: "local",     caps: ["tools", "vision"] },
+  ollama:     { base: "http://localhost:11434/v1",    keyEnv: "",                   needsKey: false, tier: "local",     caps: ["tools"] },
+  http:       { base: "",                              keyEnv: "",                   needsKey: false, tier: "cheap",     caps: ["tools"] },
+};
+
+// Derive a clean model id from a model name (last path segment, slugified).
+// e.g. "qwen/qwen3.7-max" → "qwen3-7-max".
+function slugId(name) {
+  const base = (name || "").split("/").pop() || "";
+  return base.toLowerCase().replace(/[^a-z0-9]+/g, "-").replace(/^-+|-+$/g, "");
+}
+
 function modelForm(meta, existing) {
-  const m = existing || { provider: "openai", kind: "chat", cost_tier: "cheap", caps: [], price_in: 0, price_out: 0 };
-  const idIn = h("input", { value: m.id || "", placeholder: "local-qwen", disabled: existing ? true : null });
+  const m = existing || { provider: "openai", kind: "chat", cost_tier: "mid", caps: ["tools"], price_in: 0, price_out: 0 };
+  const idIn = h("input", { value: m.id || "", placeholder: "my-model", disabled: existing ? true : null });
   const providerSel = h("select", {}, ...(meta.providers || ["openai"]).map((p) => opt(p, p, p === m.provider)));
-  const baseUrlIn = h("input", { value: m.base_url || "", placeholder: "http://localhost:8000/v1" });
-  const modelIn = h("input", { value: m.model || "", placeholder: "qwen2.5-7b-instruct" });
+  const baseUrlIn = h("input", { value: m.base_url || "", placeholder: "https://api.openai.com/v1" });
+
+  // API key — typed directly, stored securely as a secret under a provider env name.
+  const keyIn = h("input", { type: "password", placeholder: t("models.form.apiKeyPlaceholder"), autocomplete: "new-password" });
+  const testBtn = h("button", { class: "btn small", type: "button" }, t("models.form.testKey"));
+  const keyStatus = h("span", { class: "small", style: "margin-left:8px" });
+
+  // Model — below the key (some providers list models from the key); searchable datalist.
+  const dlId = "model-opts-" + (m.id || "new");
+  const dl = h("datalist", { id: dlId });
+  if (m.model) dl.appendChild(h("option", { value: m.model }));
+  const modelIn = h("input", { value: m.model || "", placeholder: t("models.form.modelPlaceholder"), list: dlId, autocomplete: "off" });
+
   const kindSel = h("select", {}, ...(meta.kinds || ["chat"]).map((k) => opt(k, k, k === m.kind)));
   const tierSel = h("select", {}, ...(meta.cost_tiers || ["cheap"]).map((c) => opt(c, c, c === m.cost_tier)));
   const priceInIn = h("input", { type: "number", step: "0.01", value: m.price_in ?? 0 });
   const priceOutIn = h("input", { type: "number", step: "0.01", value: m.price_out ?? 0 });
-  const keyEnvIn = h("input", { value: m.api_key_env || "", placeholder: "OPENAI_API_KEY" });
-  const secretIn = h("input", { type: "password", placeholder: t("models.form.secretPlaceholder") });
   const capInputs = (meta.caps || ["tools", "vision"]).map((c) => {
     const cb = h("input", { type: "checkbox", checked: (m.caps || []).includes(c) ? true : null });
     return { c, cb };
   });
 
+  const envFor = () =>
+    (existing && existing.api_key_env) ||
+    (PROVIDER_DEFAULTS[providerSel.value] || {}).keyEnv ||
+    providerSel.value.toUpperCase().replace(/[^A-Z0-9]/g, "_") + "_API_KEY";
+
+  // Fill in a provider's verified defaults when it is selected.
+  function applyDefaults() {
+    const d = PROVIDER_DEFAULTS[providerSel.value];
+    if (!d) return;
+    baseUrlIn.value = d.base;
+    tierSel.value = d.tier;
+    capInputs.forEach(({ c, cb }) => { cb.checked = d.caps.includes(c); });
+    keyIn.placeholder = d.needsKey ? t("models.form.apiKeyPlaceholder") : t("models.form.apiKeyNotNeeded");
+    mount(keyStatus, "");
+  }
+  providerSel.addEventListener("change", applyDefaults);
+  if (!existing) applyDefaults();
+
+  // Auto-fill the id from the model name (until the user edits id by hand).
+  if (!existing) {
+    modelIn.addEventListener("input", () => {
+      if (!idIn.value || idIn._auto) {
+        idIn.value = slugId(modelIn.value);
+        idIn._auto = true;
+      }
+    });
+    idIn.addEventListener("input", () => { idIn._auto = false; });
+  }
+
+  async function testKey() {
+    if (!baseUrlIn.value.trim()) { mount(keyStatus, h("span", { style: "color:var(--bad)" }, t("models.form.baseUrl") + "?")); return; }
+    testBtn.disabled = true;
+    mount(keyStatus, t("models.form.testing"));
+    try {
+      const r = await api.providerModels({
+        provider: providerSel.value,
+        base_url: baseUrlIn.value.trim(),
+        api_key: keyIn.value.trim() || null,
+        api_key_env: envFor(),
+      });
+      if (r.ok) {
+        dl.replaceChildren(...(r.models || []).map((mm) => h("option", { value: mm })));
+        mount(keyStatus, h("span", { style: "color:var(--good)" }, "✓ " + t("models.form.foundModels", { n: r.count })));
+        modelIn.focus();
+      } else {
+        mount(keyStatus, h("span", { style: "color:var(--bad)" }, "✗ " + (r.error || t("common.error"))));
+      }
+    } catch (e) {
+      mount(keyStatus, h("span", { style: "color:var(--bad)" }, "✗ " + String(e.message || e)));
+    }
+    testBtn.disabled = false;
+  }
+  testBtn.addEventListener("click", testKey);
+
+  const keyHint =
+    existing && existing.key_source === "store" ? t("models.form.keyStored")
+    : existing && existing.key_source === "env" ? t("models.form.keyFromEnv")
+    : t("models.form.apiKeyHint");
+
+  // ⚙ Generation & Thinking Parameters
+  const tempIn = h("input", { type: "number", step: "0.05", min: "0", max: "2.0", placeholder: "0.7", value: m.temperature ?? "" });
+  const topPIn = h("input", { type: "number", step: "0.05", min: "0", max: "1.0", placeholder: "0.9", value: m.top_p ?? "" });
+  const maxTokIn = h("input", { type: "number", min: "1", placeholder: "2048", value: m.max_tokens ?? "" });
+  const thinkIn = h("input", { type: "number", min: "0", placeholder: "1024", value: m.think_budget ?? "" });
+  const o1Sel = h("select", {},
+    h("option", { value: "" }, t("import.adv.auto")),
+    h("option", { value: "all" }, "all — O(1) Attention"),
+    h("option", { value: "deep" }, "deep — O(1) Deep"),
+    h("option", { value: "off" }, "off — Standard"));
+  if (m.o1) o1Sel.value = m.o1;
+  const skipMtpCb = h("input", { type: "checkbox", checked: m.skip_mtp ? true : null });
+  const sysPromptIn = h("textarea", { rows: 2, placeholder: t("models.form.systemPromptPlaceholder"), value: m.system_prompt || "" });
+
+  const advParams = h(
+    "details",
+    { class: "adv-params", style: "margin-top:12px;padding:10px;border:1px solid var(--border);border-radius:6px;" },
+    h("summary", { style: "font-weight:600;cursor:pointer;" }, "⚙ " + t("models.form.paramsTitle")),
+    h("div", { class: "row", style: "margin-top:8px" },
+      field(t("models.form.temperature"), tempIn, t("models.form.temperatureHint")),
+      field(t("models.form.topP"), topPIn, t("models.form.topPHint"))),
+    h("div", { class: "row" },
+      field(t("models.form.maxTokens"), maxTokIn, t("models.form.maxTokensHint")),
+      field(t("models.form.thinkBudget"), thinkIn, t("models.form.thinkBudgetHint"))),
+    h("div", { class: "row" },
+      field("O(1) Attention", o1Sel, t("import.adv.o1Hint")),
+      field("MTP", h("label", { class: "check" }, skipMtpCb, t("import.adv.skipMtp")))),
+    field(t("models.form.systemPrompt"), sysPromptIn, t("models.form.systemPromptHint"))
+  );
+
   const node = h(
     "div",
     {},
     h("div", { class: "row" }, field(t("models.form.id"), idIn, existing ? null : t("models.form.idHint")), field(t("models.form.provider"), providerSel)),
     field(t("models.form.baseUrl"), baseUrlIn),
-    field(t("models.form.model"), modelIn),
+    field(t("models.form.apiKey"), h("div", { class: "flex wrap", style: "gap:8px;align-items:center" }, keyIn, testBtn, keyStatus), keyHint),
+    field(t("models.form.model"), modelIn, t("models.form.modelHint")),
+    dl,
     h("div", { class: "row" }, field(t("models.form.kind"), kindSel), field(t("models.form.costTier"), tierSel)),
     h("div", { class: "row" }, field(t("models.form.priceIn"), priceInIn), field(t("models.form.priceOut"), priceOutIn)),
     field(t("models.form.caps"), h("div", { class: "flex wrap" }, ...capInputs.map(({ c, cb }) => h("label", { class: "check" }, cb, c)))),
-    field(t("models.form.apiKeyEnv"), keyEnvIn, t("models.form.apiKeyEnvHint")),
-    field(t("models.form.secret"), secretIn)
+    advParams
   );
 
-  const getValue = () => ({
-    model: {
-      id: existing ? m.id : idIn.value.trim(),
-      provider: providerSel.value,
-      base_url: baseUrlIn.value.trim(),
-      model: modelIn.value.trim(),
-      kind: kindSel.value,
-      cost_tier: tierSel.value,
-      price_in: parseFloat(priceInIn.value) || 0,
-      price_out: parseFloat(priceOutIn.value) || 0,
-      api_key_env: keyEnvIn.value.trim() || null,
-      caps: capInputs.filter(({ cb }) => cb.checked).map(({ c }) => c),
-    },
-    secret: secretIn.value,
-    keyEnv: keyEnvIn.value.trim(),
-  });
+  const getValue = () => {
+    const typedKey = keyIn.value.trim();
+    const hasKey = !!typedKey || !!(existing && existing.api_key_env);
+    const keyEnv = envFor();
+    return {
+      model: {
+        id: existing ? m.id : idIn.value.trim(),
+        provider: providerSel.value,
+        base_url: baseUrlIn.value.trim(),
+        model: modelIn.value.trim(),
+        kind: kindSel.value,
+        cost_tier: tierSel.value,
+        price_in: parseFloat(priceInIn.value) || 0,
+        price_out: parseFloat(priceOutIn.value) || 0,
+        api_key_env: hasKey ? keyEnv : null,
+        caps: capInputs.filter(({ cb }) => cb.checked).map(({ c }) => c),
+        temperature: tempIn.value !== "" ? parseFloat(tempIn.value) : null,
+        top_p: topPIn.value !== "" ? parseFloat(topPIn.value) : null,
+        max_tokens: maxTokIn.value !== "" ? parseInt(maxTokIn.value) : null,
+        think_budget: thinkIn.value !== "" ? parseInt(thinkIn.value) : null,
+        o1: o1Sel.value || null,
+        skip_mtp: skipMtpCb.checked,
+        system_prompt: sysPromptIn.value.trim() || null,
+      },
+      secret: typedKey,
+      keyEnv,
+    };
+  };
 
   return { node, getValue };
 }
@@ -70,12 +195,14 @@ async function openModal(meta, existing, reload) {
   const { node, getValue } = modelForm(meta, existing);
   modal(existing ? t("models.form.editTitle") : t("models.form.addTitle"), node, async () => {
     const { model, secret, keyEnv } = getValue();
+    // Forgot the id? Derive it from the model name so saving never errors on a
+    // blank id.
+    if (!model.id) model.id = slugId(model.model);
     if (!model.id) {
-      toast(t("models.form.id") + "?", "bad");
+      toast(t("models.form.idOrModel"), "bad");
       return false;
     }
-    // strip null api_key_env so serde keeps it optional
-    if (!model.api_key_env) delete model.api_key_env;
+    if (!model.api_key_env) delete model.api_key_env; // keep serde field optional
     try {
       if (existing) await api.updateModel(existing.id, model);
       else await api.createModel(model);
@@ -193,7 +320,7 @@ function row(m, meta, reload) {
               try {
                 await api.deleteModel(m.id);
                 toast(t("toast.deleted"), "good");
-                reload();
+                await reload();
               } catch (e) {
                 toast(String(e.message || e), "bad");
               }

web/js/views/settings.js

@@ -214,6 +214,9 @@ export async function renderSettings() {
     ? [{ id: s.cmf.model_id || "cmf-local", model: s.cmf.local_model, port: s.cmf.local_port ?? 8081, threads: s.cmf.threads ?? 8, gpu: !!s.cmf.gpu }]
     : [];
   const initServers = (s.cmf?.servers && s.cmf.servers.length) ? s.cmf.servers : legacyServers;
+  // available .cmf files under models_dir → offer as a dropdown, not a typed path
+  const cmfFiles = ((await api.cmfFiles().catch(() => ({ files: [] }))).files) || [];
+  const fileLabel = (f) => f.name + (f.size ? ` (${(f.size / 1073741824).toFixed(f.size >= 1073741824 ? 1 : 2)} GB)` : f.is_dir ? " (dir)" : "");
   function autoId(path) {
     const base = (path || "").split("/").pop().replace(/\.cmf$/i, "");
     return base ? "cmf-" + base.replace(/[^a-zA-Z0-9_-]/g, "-") : "";
@@ -221,14 +224,20 @@ export async function renderSettings() {
   function makeServerRow(sv) {
     sv = sv || { id: "", model: "", port: 8090, threads: 8, gpu: false };
     const idIn = h("input", { value: sv.id || "", placeholder: "cmf-id", style: "width:130px" });
-    const modelIn = h("input", { value: sv.model || "", placeholder: "models/model.cmf", style: "flex:2;min-width:150px" });
+    // pick from existing .cmf files rather than typing a path
+    const modelSel = h("select", { style: "flex:2;min-width:150px" });
+    const seen = new Set();
+    modelSel.appendChild(h("option", { value: "" }, "— " + t("settings.cmf.pick") + " —"));
+    cmfFiles.forEach((f) => { modelSel.appendChild(h("option", { value: f.path }, fileLabel(f))); seen.add(f.path); });
+    if (sv.model && !seen.has(sv.model)) modelSel.appendChild(h("option", { value: sv.model }, sv.model));
+    modelSel.value = sv.model || "";
     const portIn = h("input", { type: "number", value: sv.port ?? 8090, style: "width:82px" });
     const threadsIn = h("input", { type: "number", min: 0, value: sv.threads ?? 8, style: "width:60px", title: t("settings.cmf.threadsHelp") });
     const gpuIn = h("input", { type: "checkbox", checked: sv.gpu ? true : null, title: t("settings.cmf.gpuHelp") });
     const checkBtn = h("button", { class: "btn small", type: "button" }, t("settings.cmf.checkPort"));
     const removeBtn = h("button", { class: "btn small danger", type: "button", title: t("common.delete") }, "✕");
     const st = h("span", { class: "small" });
-    modelIn.addEventListener("input", () => { if (!idIn.value || idIn._auto) { idIn.value = autoId(modelIn.value); idIn._auto = true; } });
+    modelSel.addEventListener("change", () => { if (!idIn.value || idIn._auto) { idIn.value = autoId(modelSel.value); idIn._auto = true; } });
     idIn.addEventListener("input", () => { idIn._auto = false; });
     checkBtn.addEventListener("click", async () => {
       const p = parseInt(portIn.value, 10); if (!p) return;
@@ -244,9 +253,103 @@ export async function renderSettings() {
       } catch (e) { mount(st, String(e.message || e)); }
       checkBtn.disabled = false;
     });
-    const row = h("div", { class: "flex wrap", style: "gap:6px;align-items:center;margin:6px 0" },
-      idIn, modelIn, portIn, checkBtn, threadsIn, h("label", { class: "flex", style: "gap:4px" }, gpuIn, "GPU"), removeBtn, st);
-    const entry = { node: row, read: () => ({ id: idIn.value.trim() || autoId(modelIn.value), model: modelIn.value.trim(), port: parseInt(portIn.value) || 8090, threads: parseInt(threadsIn.value) || 0, gpu: gpuIn.checked }) };
+
+    // ── O(1) Nyström Attention ──
+    // NOT a "reasoning mode". This is a memory-efficient streaming attention
+    // kernel (Nyström/landmark) that replaces standard KV-cache attention,
+    // giving O(1) memory per decode step instead of O(n).
+    const o1Sel = h("select", { style: "width:120px", title: "O(1) Nyström attention layer spec: which layers replace KV-cache with streaming Nyström attention" },
+      h("option", { value: "" }, "O(1) авто"),
+      h("option", { value: "all" }, "O(1) все слои"),
+      h("option", { value: "deep" }, "O(1) глубокие"),
+      h("option", { value: "off" }, "O(1) выкл."));
+    if (sv.o1) o1Sel.value = sv.o1;
+    const o1mIn = h("input", { type: "number", min: "4", placeholder: "32", value: sv.o1_m ?? "", style: "width:55px", title: "Landmark budget (≥4, default 32). More landmarks ≠ better: m=64 measured worse." });
+    const o1wIn = h("input", { type: "number", min: "1", placeholder: "128", value: sv.o1_window ?? "", style: "width:60px", title: "Exact-window width — main quality lever (default 128)" });
+    const o1sinkIn = h("input", { type: "number", min: "0", placeholder: "4", value: sv.o1_sink ?? "", style: "width:50px", title: "Permanent exact sink keys, StreamingLLM discipline (default 4)" });
+
+    // ── Generation parameters ──
+    const tempIn = h("input", { type: "number", step: "0.05", min: "0", max: "2.0", placeholder: "0.7", value: sv.temperature ?? "", style: "width:60px" });
+    const topPIn = h("input", { type: "number", step: "0.05", min: "0", max: "1.0", placeholder: "0.9", value: sv.top_p ?? "", style: "width:60px" });
+    const maxTokIn = h("input", { type: "number", min: "1", placeholder: "2048", value: sv.max_tokens ?? "", style: "width:75px" });
+    // think_budget = 0 means reasoning disabled (enable_thinking=false);
+    // null = model decides; N>0 = token budget for the <think> block.
+    const noThinkCb = h("input", { type: "checkbox", checked: (sv.think_budget === 0) ? true : null, title: "Отключить режим размышлений (think_budget=0, enable_thinking=false для Qwen3/3.5)" });
+    const thinkIn = h("input", { type: "number", min: "1", placeholder: "авто", value: (sv.think_budget && sv.think_budget > 0) ? sv.think_budget : "", style: "width:75px", title: "Бюджет токенов на размышления (think_budget). Пустое = модель решает сама." });
+    if (sv.think_budget === 0) thinkIn.disabled = true;
+    noThinkCb.addEventListener("change", () => {
+      thinkIn.disabled = noThinkCb.checked;
+      if (noThinkCb.checked) thinkIn.value = "";
+    });
+    const sysIn = h("input", { placeholder: "System prompt (optional)", value: sv.system_prompt || "", style: "flex:1;min-width:200px" });
+
+    // ── MTP (Multi-Token Prediction): speculative decoding, NOT reasoning ──
+    const skipMtpCb = h("input", { type: "checkbox", checked: sv.skip_mtp ? true : null, title: "Disable MTP speculative decoding (env CMF_MTP=0)" });
+
+    // ── Settings drawer ──
+    const drawerStyle = "display:none;width:100%;margin-top:6px;padding:10px 12px;background:var(--bg-subtle);border-radius:6px;border:1px solid var(--border)";
+    const groupStyle = "display:flex;flex-wrap:wrap;gap:8px;align-items:center;padding:4px 0";
+    const labelStyle = "font-size:11px;color:var(--text-muted);font-weight:600;text-transform:uppercase;letter-spacing:0.5px;width:100%;margin-bottom:2px";
+
+    const drawer = h("div", { style: drawerStyle },
+      // Group 1: O(1) Nyström Attention
+      h("div", { style: labelStyle }, "O(1) Nyström Attention"),
+      h("div", { style: groupStyle },
+        h("span", { class: "small muted" }, "Слои:"), o1Sel,
+        h("span", { class: "small muted" }, "m:"), o1mIn,
+        h("span", { class: "small muted" }, "Window:"), o1wIn,
+        h("span", { class: "small muted" }, "Sink:"), o1sinkIn
+      ),
+      h("hr", { style: "border:none;border-top:1px solid var(--border);margin:6px 0" }),
+      // Group 2: Generation
+      h("div", { style: labelStyle }, "Генерация"),
+      h("div", { style: groupStyle },
+        h("span", { class: "small muted" }, "Temp:"), tempIn,
+        h("span", { class: "small muted" }, "Top-P:"), topPIn,
+        h("span", { class: "small muted" }, "Max токенов:"), maxTokIn
+      ),
+      h("div", { style: groupStyle },
+        h("span", { class: "small muted" }, "System prompt:"), sysIn
+      ),
+      h("hr", { style: "border:none;border-top:1px solid var(--border);margin:6px 0" }),
+      // Group 3: Reasoning (thinking)
+      h("div", { style: labelStyle }, "Режим размышлений"),
+      h("div", { style: groupStyle },
+        h("label", { class: "check small", title: "Для моделей Qwen3/3.5: enable_thinking=false — модель отвечает напрямую без блока <think>" }, noThinkCb, "Отключить размышления"),
+        h("span", { class: "small muted" }, "Think budget:"), thinkIn
+      ),
+      h("hr", { style: "border:none;border-top:1px solid var(--border);margin:6px 0" }),
+      // Group 4: Runtime
+      h("div", { style: labelStyle }, "Runtime"),
+      h("div", { style: groupStyle },
+        h("label", { class: "check small", title: "MTP — Multi-Token Prediction (спекулятивное декодирование). Отключение замедляет генерацию, но стабилизирует output." }, skipMtpCb, "Отключить MTP")
+      )
+    );
+
+    const gearBtn = h("button", { class: "btn small", type: "button", title: "⚙ Настройки модели" }, "⚙");
+    gearBtn.addEventListener("click", () => {
+      drawer.style.display = drawer.style.display === "none" ? "block" : "none";
+    });
+
+    const row = h("div", { class: "flex wrap cmf-server-row", style: "gap:6px;align-items:center;margin:6px 0" },
+      idIn, modelSel, portIn, checkBtn, threadsIn, h("label", { class: "flex", style: "gap:4px" }, gpuIn, "GPU"), gearBtn, removeBtn, st, drawer);
+    const entry = { node: row, read: () => ({
+      id: idIn.value.trim() || autoId(modelSel.value),
+      model: modelSel.value.trim(),
+      port: parseInt(portIn.value) || 8090,
+      threads: parseInt(threadsIn.value) || 0,
+      gpu: gpuIn.checked,
+      temperature: tempIn.value !== "" ? parseFloat(tempIn.value) : null,
+      top_p: topPIn.value !== "" ? parseFloat(topPIn.value) : null,
+      max_tokens: maxTokIn.value !== "" ? parseInt(maxTokIn.value) : null,
+      think_budget: noThinkCb.checked ? 0 : (thinkIn.value !== "" ? parseInt(thinkIn.value) : null),
+      o1: o1Sel.value || null,
+      o1_m: o1mIn.value !== "" ? parseInt(o1mIn.value) : null,
+      o1_window: o1wIn.value !== "" ? parseInt(o1wIn.value) : null,
+      o1_sink: o1sinkIn.value !== "" ? parseInt(o1sinkIn.value) : null,
+      skip_mtp: skipMtpCb.checked,
+      system_prompt: sysIn.value.trim() || null,
+    }) };
     removeBtn.addEventListener("click", () => { const i = serverRows.indexOf(entry); if (i >= 0) serverRows.splice(i, 1); row.remove(); });
     serverRows.push(entry);
     serversWrap.appendChild(row);
@@ -433,9 +536,11 @@ export async function renderSettings() {
         "div",
         { class: "card" },
         h("div", { class: "card-head" }, h("h3", {}, t("settings.route"))),
-        field(t("settings.route.strategy"), strategySel),
-        h("div", { class: "row" }, field(t("settings.route.maxChars"), maxChars), field(t("settings.route.cacheTtl"), cacheTtl)),
-        field(t("settings.route.profile"), profileSel)
+        field(t("settings.route.strategy"), strategySel, null, t("settings.route.strategyHelp")),
+        h("div", { class: "row" },
+          field(t("settings.route.maxChars"), maxChars, null, t("settings.route.maxCharsHelp")),
+          field(t("settings.route.cacheTtl"), cacheTtl, null, t("settings.route.cacheTtlHelp"))),
+        field(t("settings.route.profile"), profileSel, null, t("settings.route.profileHelp"))
       ),
       h(
         "div",