From 1a03c3178f5f01433080ba766b243d0806d22700 Mon Sep 17 00:00:00 2001
From: Leonid Pershin <lpershin@syntellect.ru>
Date: Sat, 22 Aug 2026 14:27:59 +0300
Subject: [PATCH] Ship Assistent 0.12.1: training tab, dataset pipeline, and
 heard RAG.

Restructure UI with app-level tabs and chat history drawer; add dataset curation,
HF import, Modelfile/QLoRA hooks, and link approved samples to the agent immediately
via heard vector memory without waiting for fine-tuning.

Co-authored-by: Cursor <cursoragent@cursor.com>
---
 Assets/assistent.bundle.js          | 1503 +++++++++++++++++++--------
 Assets/assistent.css                |  485 ++++++++-
 AssistentChatPipeline.cs            |   97 +-
 AssistentConfig.cs                  |   34 +
 AssistentHuggingFace.cs             |  483 +++++++++
 AssistentMemory.Heard.cs            |  189 ++++
 AssistentMemory.Training.cs         |  345 ++++++
 AssistentMemory.cs                  |   15 +-
 AssistentPatch.cs                   |    6 +
 AssistentPersist.cs                 |    2 +-
 AssistentTraining.Agent.cs          |  174 ++++
 AssistentTraining.cs                |  443 ++++++++
 AssistentTrainingJobs.cs            |  417 ++++++++
 README.md                           |   12 +
 SwarmAssistentExtension.cs          |   28 +-
 Tabs/Text2Image/Assistent.html      |  428 +++++---
 docs/reviews/2026-08-22-review-1.md |  127 +++
 scripts/train_qlora.py              |   88 ++
 src/app.js                          |  147 ++-
 src/main.js                         |    3 +
 src/training.js                     |  531 ++++++++++
 21 files changed, 4919 insertions(+), 638 deletions(-)
 create mode 100644 AssistentHuggingFace.cs
 create mode 100644 AssistentMemory.Heard.cs
 create mode 100644 AssistentMemory.Training.cs
 create mode 100644 AssistentTraining.Agent.cs
 create mode 100644 AssistentTraining.cs
 create mode 100644 AssistentTrainingJobs.cs
 create mode 100644 docs/reviews/2026-08-22-review-1.md
 create mode 100644 scripts/train_qlora.py
 create mode 100644 src/training.js

diff --git a/Assets/assistent.bundle.js b/Assets/assistent.bundle.js
index 1c869ab..0b966de 100644
--- a/Assets/assistent.bundle.js
+++ b/Assets/assistent.bundle.js
@@ -351,6 +351,7 @@
     const LS_WELCOMED = "swarm_assistent_welcomed";
     const LS_CHATS2 = "swarm_assistent_chats_v1";
     const LS_BOARD_TAB = "swarm_assistent_board_tab";
+    const LS_CHATS_DRAWER = "swarm_assistent_chats_drawer";
     const MAX_CHATS = 40;
     const MAX_CHAT_MSGS = 24;
     const TAB_BUTTON_ID = "maintab_assistent";
@@ -492,6 +493,7 @@
       activeChatId: null,
       restoringChat: false,
       chatsPanelOpen: false,
+      chatsDrawerOpen: false,
       chatsQuery: "",
       chatsSearchHits: null,
       slashIndex: 0,
@@ -503,7 +505,8 @@
       settingsPersonaId: null,
       wanted: { count: 0, items: [] },
       wantedKeys: /* @__PURE__ */ new Set(),
-      ollamaHealth: "unknown"
+      ollamaHealth: "unknown",
+      trainingLock: false
     };
     const HOP_BUDGET = 4;
     function isContinuationTurn(opts) {
@@ -532,7 +535,7 @@
     function diskPersist() {
       return window.SA && window.SA.persist || null;
     }
-    function $(id) {
+    function $2(id) {
       return document.getElementById(id);
     }
     function modelShort(name) {
@@ -548,21 +551,21 @@
       return `${Math.floor(s / 60)}m ${String(s % 60).padStart(2, "0")}s`;
     }
     function hideChatEmpty() {
-      const empty = $("sa_chat_empty");
+      const empty = $2("sa_chat_empty");
       if (empty) {
         empty.hidden = true;
       }
     }
     let scrollMessagesRaf = 0;
     function messagesNearBottom(thresholdPx = 96) {
-      const box = $("sa_messages");
+      const box = $2("sa_messages");
       if (!box) {
         return true;
       }
       return box.scrollHeight - box.scrollTop - box.clientHeight <= thresholdPx;
     }
     function scrollMessagesToBottom({ force = false } = {}) {
-      const box = $("sa_messages");
+      const box = $2("sa_messages");
       if (!box) {
         return;
       }
@@ -574,15 +577,15 @@
       }
       scrollMessagesRaf = requestAnimationFrame(() => {
         scrollMessagesRaf = 0;
-        const el = $("sa_messages");
+        const el = $2("sa_messages");
         if (el && (force || messagesNearBottom(120))) {
           el.scrollTop = el.scrollHeight;
         }
       });
     }
     function showChatEmptyIfIdle() {
-      const box = $("sa_messages");
-      const empty = $("sa_chat_empty");
+      const box = $2("sa_messages");
+      const empty = $2("sa_chat_empty");
       if (!box || !empty) {
         return;
       }
@@ -603,7 +606,7 @@
       if (!state.gotDelta && (state.busyPhase === "thinking" || state.busyPhase === "waiting") && elapsed > 1600) {
         state.busyPhase = state.llmParked || state.expectColdLoad ? "loading" : "waiting";
       }
-      const model = modelShort($("sa_model")?.value);
+      const model = modelShort($2("sa_model")?.value);
       const labels = {
         encoding: "Encoding image\u2026",
         waiting: "\u0416\u0434\u0443 Ollama / \u043F\u0435\u0440\u0432\u044B\u0439 \u0442\u043E\u043A\u0435\u043D\u2026",
@@ -618,15 +621,15 @@
         refining: "Civitai search done \u2014 refining\u2026"
       };
       const text = labels[state.busyPhase] || "Working\u2026";
-      const barText = $("sa_livebar_text");
+      const barText = $2("sa_livebar_text");
       if (barText) {
         barText.textContent = text;
       }
-      const elapsedEl = $("sa_elapsed");
+      const elapsedEl = $2("sa_elapsed");
       if (elapsedEl) {
         elapsedEl.textContent = fmtElapsed(elapsed);
       }
-      const status = $("sa_status");
+      const status = $2("sa_status");
       if (status) {
         status.textContent = text;
         status.classList.add("sa-status-busy");
@@ -636,21 +639,21 @@
       state.busyStarted = Date.now();
       state.gotDelta = false;
       state.busyPhase = phase || "thinking";
-      $("swarm_assistent_root")?.classList.add("sa-is-busy");
-      $("sa_composer")?.classList.add("sa-composer-busy");
-      const send = $("sa_btn_send");
+      $2("swarm_assistent_root")?.classList.add("sa-is-busy");
+      $2("sa_composer")?.classList.add("sa-composer-busy");
+      const send = $2("sa_btn_send");
       if (send) {
         send.disabled = true;
       }
-      const input = $("sa_input");
+      const input = $2("sa_input");
       if (input) {
         input.classList.add("sa-input-busy");
       }
-      const bar = $("sa_livebar");
+      const bar = $2("sa_livebar");
       if (bar) {
         bar.hidden = false;
       }
-      const dot = $("sa_live_dot");
+      const dot = $2("sa_live_dot");
       if (dot) {
         dot.hidden = false;
       }
@@ -669,25 +672,25 @@
       }
       const elapsed = Date.now() - (state.busyStarted || Date.now());
       state.busyPhase = "idle";
-      $("swarm_assistent_root")?.classList.remove("sa-is-busy");
-      $("sa_composer")?.classList.remove("sa-composer-busy");
-      const send = $("sa_btn_send");
+      $2("swarm_assistent_root")?.classList.remove("sa-is-busy");
+      $2("sa_composer")?.classList.remove("sa-composer-busy");
+      const send = $2("sa_btn_send");
       if (send) {
         send.disabled = false;
       }
-      const input = $("sa_input");
+      const input = $2("sa_input");
       if (input) {
         input.classList.remove("sa-input-busy");
       }
-      const bar = $("sa_livebar");
+      const bar = $2("sa_livebar");
       if (bar) {
         bar.hidden = true;
       }
-      const dot = $("sa_live_dot");
+      const dot = $2("sa_live_dot");
       if (dot) {
         dot.hidden = true;
       }
-      const status = $("sa_status");
+      const status = $2("sa_status");
       if (status) {
         status.classList.remove("sa-status-busy");
       }
@@ -699,13 +702,13 @@
       syncGenerateBusy();
     }
     function setStatus(text) {
-      const el = $("sa_status");
+      const el = $2("sa_status");
       if (el) {
         el.textContent = text || "";
       }
     }
     function setInterruptVisible(on) {
-      const btn = $("sa_btn_interrupt");
+      const btn = $2("sa_btn_interrupt");
       if (btn) {
         btn.hidden = !on;
         btn.classList.toggle("sa-interrupt-active", !!on);
@@ -785,8 +788,8 @@
     }
     function updateGate() {
       const ok = isKreaSelected();
-      const gate = $("sa_gate");
-      const layout = $("sa_layout");
+      const gate = $2("sa_gate");
+      const layout = $2("sa_layout");
       if (gate) {
         gate.hidden = ok;
         if (!ok) {
@@ -794,7 +797,7 @@
           const seen = [m.architecture, m.compat_class, m.name].filter(Boolean).join(" \xB7 ");
           const p = gate.querySelector("p");
           if (p) {
-            p.innerHTML = seen ? `Swarm Assistent is for <strong>Krea 2</strong> models only. Current: <code>${escapeHtml(
+            p.innerHTML = seen ? `Swarm Assistent is for <strong>Krea 2</strong> models only. Current: <code>${escapeHtml2(
               seen
             )}</code> \u2014 pick a checkpoint with architecture <code>krea-2</code>.` : "Swarm Assistent is for <strong>Krea 2</strong> models only. Select a Krea 2 checkpoint on Generate to enable the chat.";
           }
@@ -805,7 +808,7 @@
       }
       return ok;
     }
-    function escapeHtml(s) {
+    function escapeHtml2(s) {
       return String(s).replace(/&/g, "&amp;").replace(/</g, "&lt;").replace(/>/g, "&gt;").replace(/"/g, "&quot;");
     }
     const PROSE_SECTION_TITLES = {
@@ -874,7 +877,7 @@
           return;
         }
         parts.push(
-          `<ul class="sa-prose-list">${listItems.map((li) => `<li>${formatProseInline(escapeHtml(li))}</li>`).join("")}</ul>`
+          `<ul class="sa-prose-list">${listItems.map((li) => `<li>${formatProseInline(escapeHtml2(li))}</li>`).join("")}</ul>`
         );
         listItems = [];
       };
@@ -888,7 +891,7 @@
           }
           const level = Math.min((line.match(/^#+/) || ["###"])[0].length, 3);
           parts.push(
-            `<div class="sa-prose-h sa-prose-h${level}" role="heading" aria-level="${level}">${escapeHtml(title)}</div>`
+            `<div class="sa-prose-h sa-prose-h${level}" role="heading" aria-level="${level}">${escapeHtml2(title)}</div>`
           );
           continue;
         }
@@ -902,7 +905,7 @@
           parts.push('<div class="sa-prose-gap" aria-hidden="true"></div>');
           continue;
         }
-        parts.push(`<p class="sa-prose-p">${formatProseInline(escapeHtml(line))}</p>`);
+        parts.push(`<p class="sa-prose-p">${formatProseInline(escapeHtml2(line))}</p>`);
       }
       flushList();
       return parts.join("");
@@ -1352,13 +1355,13 @@ ${patch.prompt}`;
         generate = false;
       } else if (commanded) {
         generate = true;
-      } else if (packBlocksAutoGenerate($("sa_pack")?.value || "")) {
+      } else if (packBlocksAutoGenerate($2("sa_pack")?.value || "")) {
         generate = false;
       } else {
         generate = modelAsked || implied;
       }
       const hasLook = !!patch && (patch.look_at != null || patch.vision_from != null || patch.vision_slots != null);
-      const honorLook = opts.fromAutoCritique || opts.fromVisionHop || !machine && userAsksLook(userText) || packWantsVision($("sa_pack")?.value);
+      const honorLook = opts.fromAutoCritique || opts.fromVisionHop || !machine && userAsksLook(userText) || packWantsVision($2("sa_pack")?.value);
       const look = !!(hasLook && !vetoed && !generate && honorLook);
       return { generate, look, vetoed };
     }
@@ -1401,7 +1404,7 @@ ${patch.prompt}`;
       }
     }
     function syncBuildGenButton() {
-      const btn = $("sa_btn_build_gen");
+      const btn = $2("sa_btn_build_gen");
       if (!btn) {
         return;
       }
@@ -1415,11 +1418,11 @@ ${patch.prompt}`;
       }
     }
     function defaultPackId() {
-      return state.config?.assistant?.default_pack || $("sa_pack")?.querySelector("option")?.value || "ordinary";
+      return state.config?.assistant?.default_pack || $2("sa_pack")?.querySelector("option")?.value || "ordinary";
     }
     function syncModeBadge() {
-      const badge = $("sa_mode_badge");
-      const pack = $("sa_pack")?.value || defaultPackId();
+      const badge = $2("sa_mode_badge");
+      const pack = $2("sa_pack")?.value || defaultPackId();
       if (!badge) {
         return;
       }
@@ -1441,7 +1444,7 @@ ${patch.prompt}`;
       badge.classList.toggle("sa-mode-hot", pack === "critique_image" || pack === "inpaint_edit");
     }
     function syncLiveParamsBar() {
-      const el = $("sa_live_params");
+      const el = $2("sa_live_params");
       if (!el) {
         return;
       }
@@ -1604,7 +1607,7 @@ ${patch.prompt}`;
       const tab = document.getElementById(TAB_BUTTON_ID);
       if (tab) {
         tab.click();
-        setTimeout(() => $("sa_input")?.focus(), 50);
+        setTimeout(() => $2("sa_input")?.focus(), 50);
         return true;
       }
       const pane = document.getElementById("assistent");
@@ -1614,7 +1617,7 @@ ${patch.prompt}`;
         } catch (e) {
         }
       }
-      setTimeout(() => $("sa_input")?.focus(), 50);
+      setTimeout(() => $2("sa_input")?.focus(), 50);
       return !!tab;
     }
     function historyMessageLimit() {
@@ -2034,7 +2037,7 @@ ${patch.prompt}`;
       await runGenerateFromPatch({ actions: ["generate"] }, { force: true });
     }
     function renderBoard() {
-      const board = $("sa_board");
+      const board = $2("sa_board");
       if (!board) {
         return;
       }
@@ -2142,11 +2145,11 @@ ${patch.prompt}`;
       return el;
     }
     function ensureGenLightbox() {
-      let root = $("sa_gen_lightbox");
+      let root = $2("sa_gen_lightbox");
       if (root) {
         return root;
       }
-      const host = $("swarm_assistent_root") || document.body;
+      const host = $2("swarm_assistent_root") || document.body;
       root = document.createElement("div");
       root.id = "sa_gen_lightbox";
       root.className = "sa-lightbox";
@@ -2220,9 +2223,9 @@ ${patch.prompt}`;
         return;
       }
       root.hidden = false;
-      const img = $("sa_lb_img");
-      const title = $("sa_lb_title");
-      const idx = $("sa_lb_idx");
+      const img = $2("sa_lb_img");
+      const title = $2("sa_lb_title");
+      const idx = $2("sa_lb_idx");
       if (img) {
         img.src = row.src;
         img.alt = row.label || row.id;
@@ -2250,7 +2253,7 @@ ${patch.prompt}`;
     }
     function closeGenLightbox() {
       state.lightboxIndex = -1;
-      const root = $("sa_gen_lightbox");
+      const root = $2("sa_gen_lightbox");
       if (root) {
         root.hidden = true;
       }
@@ -2269,23 +2272,23 @@ ${patch.prompt}`;
     }
     function syncBoardChrome() {
       const tab = state.boardTab === "refs" ? "refs" : "generate";
-      $("sa_board_tab_gen")?.classList.toggle("sa-board-tab-active", tab === "generate");
-      $("sa_board_tab_refs")?.classList.toggle("sa-board-tab-active", tab === "refs");
-      $("sa_board_tab_gen")?.setAttribute("aria-selected", tab === "generate" ? "true" : "false");
-      $("sa_board_tab_refs")?.setAttribute("aria-selected", tab === "refs" ? "true" : "false");
-      const addBtn = $("sa_btn_add_ref");
+      $2("sa_board_tab_gen")?.classList.toggle("sa-board-tab-active", tab === "generate");
+      $2("sa_board_tab_refs")?.classList.toggle("sa-board-tab-active", tab === "refs");
+      $2("sa_board_tab_gen")?.setAttribute("aria-selected", tab === "generate" ? "true" : "false");
+      $2("sa_board_tab_refs")?.setAttribute("aria-selected", tab === "refs" ? "true" : "false");
+      const addBtn = $2("sa_btn_add_ref");
       if (addBtn) {
         addBtn.hidden = tab !== "refs";
       }
-      const maskBtn = $("sa_btn_as_mask");
-      const clearSlotBtn = $("sa_btn_clear_image");
+      const maskBtn = $2("sa_btn_as_mask");
+      const clearSlotBtn = $2("sa_btn_clear_image");
       if (maskBtn) {
         maskBtn.hidden = tab !== "refs";
       }
       if (clearSlotBtn) {
         clearSlotBtn.hidden = tab !== "refs";
       }
-      const badge = $("sa_refs_badge");
+      const badge = $2("sa_refs_badge");
       if (badge) {
         const refs = refSlots();
         const withImg = refs.filter((s) => s.src).length;
@@ -2297,9 +2300,9 @@ ${patch.prompt}`;
           badge.hidden = true;
         }
       }
-      let genBadge = $("sa_gen_badge");
+      let genBadge = $2("sa_gen_badge");
       if (!genBadge) {
-        const genTab = $("sa_board_tab_gen");
+        const genTab = $2("sa_board_tab_gen");
         if (genTab) {
           genBadge = document.createElement("span");
           genBadge.id = "sa_gen_badge";
@@ -2455,11 +2458,11 @@ ${patch.prompt}`;
       if (localStorage.getItem(LS_WELCOMED) === "1") {
         return;
       }
-      if (!$("sa_messages")) {
+      if (!$2("sa_messages")) {
         return;
       }
       localStorage.setItem(LS_WELCOMED, "1");
-      const box = $("sa_messages");
+      const box = $2("sa_messages");
       hideChatEmpty();
       const div = document.createElement("div");
       div.className = "sa-msg assistant sa-welcome";
@@ -2528,8 +2531,8 @@ ${patch.prompt}`;
         scheduler: val("input_scheduler") || null,
         batch: parseInt(val("input_images") || val("input_batchsize") || "0", 10) || null,
         loras,
-        persona: $("sa_persona")?.value || "neutral",
-        pack: $("sa_pack")?.value || defaultPackId(),
+        persona: $2("sa_persona")?.value || "neutral",
+        pack: $2("sa_pack")?.value || defaultPackId(),
         sessionExact,
         lastPatch,
         genResults: Array.isArray(state.genResults) ? state.genResults.map((r) => ({
@@ -2640,7 +2643,7 @@ ${patch.prompt}`;
     function applyPersonaForChat(personaId, { quiet = false } = {}) {
       const id = String(personaId || "neutral").trim() || "neutral";
       return new Promise((resolve) => {
-        const sel = $("sa_persona");
+        const sel = $2("sa_persona");
         if (sel && [...sel.options].some((o) => o.value === id)) {
           sel.value = id;
         }
@@ -2654,7 +2657,7 @@ ${patch.prompt}`;
           resolve();
           return;
         }
-        const packKeep = $("sa_pack")?.value;
+        const packKeep = $2("sa_pack")?.value;
         genericRequest(
           "AssistentGetConfig",
           { persona: id },
@@ -2789,7 +2792,7 @@ ${patch.prompt}`;
       persistChatsStore();
     }
     function resetMessagesUi(emptyHint) {
-      const box = $("sa_messages");
+      const box = $2("sa_messages");
       if (!box) {
         return;
       }
@@ -2801,7 +2804,7 @@ ${patch.prompt}`;
       box.appendChild(empty);
     }
     function renderHistoryIntoUi(messages) {
-      const box = $("sa_messages");
+      const box = $2("sa_messages");
       if (!box) {
         return;
       }
@@ -2824,7 +2827,7 @@ ${patch.prompt}`;
       }
     }
     function updateSessionLabel() {
-      const el = $("sa_session_label");
+      const el = $2("sa_session_label");
       if (!el) {
         return;
       }
@@ -2836,7 +2839,7 @@ ${patch.prompt}`;
       return (state.chats || []).filter((c) => (c.messages || []).length > 0).length;
     }
     function syncHistoryBadge() {
-      const btn = $("sa_btn_chats");
+      const btn = $2("sa_btn_chats");
       if (!btn) {
         return;
       }
@@ -2871,7 +2874,7 @@ ${patch.prompt}`;
       return false;
     }
     function renderChatsList() {
-      const root = $("sa_chats_list");
+      const root = $2("sa_chats_list");
       if (!root) {
         return;
       }
@@ -2908,27 +2911,33 @@ ${patch.prompt}`;
           bits.push(`LoRA ${c.params.loras.length}`);
         }
         const noParams = !c.params ? " \xB7 \u0431\u0435\u0437 \u0441\u043D\u0438\u043C\u043A\u0430 params" : "";
-        row.innerHTML = `<button type="button" class="sa-chat-row-main" data-open="1"><span class="sa-chat-row-title">${escapeHtml(c.title || "\u0427\u0430\u0442")}</span><span class="sa-chat-row-meta">${escapeHtml([formatChatWhen(c.updatedAt), `${n} \u0441\u043E\u043E\u0431\u0449.`, bits.join(" \xB7 ")].filter(Boolean).join(" \xB7 ") + noParams)}</span></button><button type="button" class="sa-chat-row-del" data-del="1" title="\u0423\u0434\u0430\u043B\u0438\u0442\u044C \u0447\u0430\u0442">\xD7</button>`;
+        row.innerHTML = `<button type="button" class="sa-chat-row-main" data-open="1"><span class="sa-chat-row-title">${escapeHtml2(c.title || "\u0427\u0430\u0442")}</span><span class="sa-chat-row-meta">${escapeHtml2([formatChatWhen(c.updatedAt), `${n} \u0441\u043E\u043E\u0431\u0449.`, bits.join(" \xB7 ")].filter(Boolean).join(" \xB7 ") + noParams)}</span></button><button type="button" class="sa-chat-row-del" data-del="1" title="\u0423\u0434\u0430\u043B\u0438\u0442\u044C \u0447\u0430\u0442">\xD7</button>`;
         root.appendChild(row);
       }
     }
     function setChatsPanelOpen(open) {
       state.chatsPanelOpen = !!open;
-      const panel = $("sa_chats_panel");
-      const btn = $("sa_btn_chats");
+      state.chatsDrawerOpen = state.chatsPanelOpen;
+      const panel = $2("sa_chats_panel");
+      const btn = $2("sa_btn_chats");
+      const root = $2("swarm_assistent_root");
       if (panel) {
         panel.hidden = !state.chatsPanelOpen;
       }
       btn?.setAttribute("aria-expanded", state.chatsPanelOpen ? "true" : "false");
+      btn?.classList.toggle("sa-sessions-toggle-active", state.chatsPanelOpen);
+      root?.classList.toggle("sa-drawer-open", state.chatsPanelOpen);
+      localStorage.setItem(LS_CHATS_DRAWER, state.chatsPanelOpen ? "1" : "0");
       if (state.chatsPanelOpen) {
         saveActiveChatToStore();
-        const search = $("sa_chats_search");
+        const search = $2("sa_chats_search");
         if (search) {
           search.value = state.chatsQuery || "";
           search.focus();
         }
         renderChatsList();
       }
+      saveUiStateToDisk();
     }
     async function startNewChat({ saveCurrent = true, force = false } = {}) {
       if (!force && (state.busy || state.generating)) {
@@ -2938,7 +2947,6 @@ ${patch.prompt}`;
       if (force) {
         abortInFlightWork({ status: "" });
       }
-      setChatsPanelOpen(false);
       if (saveCurrent) {
         saveActiveChatToStore({ dropEmpty: true });
       }
@@ -2980,7 +2988,6 @@ ${patch.prompt}`;
     }
     async function switchToChat(id) {
       if (!id || id === state.activeChatId) {
-        setChatsPanelOpen(false);
         return;
       }
       if (state.busy || state.generating) {
@@ -3028,7 +3035,6 @@ ${patch.prompt}`;
       updateSessionLabel();
       syncHistoryBadge();
       renderChatsList();
-      setChatsPanelOpen(false);
       setView("chat");
       if (result?.restored) {
         setStatus(`\u0427\u0430\u0442 \xAB${chat.title}\xBB \xB7 \u043F\u0430\u0440\u0430\u043C\u0435\u0442\u0440\u044B \u0432\u043E\u0441\u0441\u0442\u0430\u043D\u043E\u0432\u043B\u0435\u043D\u044B`);
@@ -3123,7 +3129,7 @@ ${patch.prompt}`;
       renderBoard();
     }
     function hideSlashMenu() {
-      const menu = $("sa_slash_menu");
+      const menu = $2("sa_slash_menu");
       if (menu) {
         menu.hidden = true;
         menu.innerHTML = "";
@@ -3139,7 +3145,7 @@ ${patch.prompt}`;
       return SLASH_COMMANDS.filter((c) => c.cmd.toLowerCase().startsWith(q) || q === "/" || c.cmd.toLowerCase().includes(q.slice(1)));
     }
     function renderSlashMenu(items) {
-      const menu = $("sa_slash_menu");
+      const menu = $2("sa_slash_menu");
       if (!menu) {
         return;
       }
@@ -3155,7 +3161,7 @@ ${patch.prompt}`;
         btn.type = "button";
         btn.className = "sa-slash-item" + (i === state.slashIndex ? " sa-slash-active" : "");
         btn.setAttribute("role", "option");
-        btn.innerHTML = `<code>${escapeHtml(item.cmd.trim())}</code> \u2014 ${escapeHtml(item.hint)}`;
+        btn.innerHTML = `<code>${escapeHtml2(item.cmd.trim())}</code> \u2014 ${escapeHtml2(item.hint)}`;
         btn.addEventListener("mousedown", (e) => {
           e.preventDefault();
           applySlashPick(item);
@@ -3164,7 +3170,7 @@ ${patch.prompt}`;
       });
     }
     function applySlashPick(item) {
-      const input = $("sa_input");
+      const input = $2("sa_input");
       if (!input || !item) {
         return;
       }
@@ -3175,7 +3181,7 @@ ${patch.prompt}`;
       input.setSelectionRange(pos, pos);
     }
     function updateSlashMenuFromInput() {
-      const text = $("sa_input")?.value || "";
+      const text = $2("sa_input")?.value || "";
       if (!text.startsWith("/") || text.includes("\n") || /\s/.test(text.trim().slice(1)) && !text.endsWith(" ")) {
         const token2 = text.split(/\s/)[0] || "";
         if (!token2.startsWith("/") || text.includes(" ") && !SLASH_COMMANDS.some((c) => c.cmd.startsWith(token2))) {
@@ -3193,7 +3199,7 @@ ${patch.prompt}`;
       renderSlashMenu(slashMatches(token));
     }
     function onPersonaChanged() {
-      const id = $("sa_persona")?.value || "neutral";
+      const id = $2("sa_persona")?.value || "neutral";
       state.sessionExact = {};
       state.lastUserParamIntent = false;
       saveSettings();
@@ -3204,10 +3210,10 @@ ${patch.prompt}`;
         }
         appendSystemNote(`\u0422\u043E\u043D \u2192 ${title}`);
         state.pendingPersonaNote = `Persona is now ${id} (${title}). Adopt this voice from now on.`;
-        if (data?.assistant?.default_pack && $("sa_pack") && !state.packUserTouched) {
+        if (data?.assistant?.default_pack && $2("sa_pack") && !state.packUserTouched) {
           const packId = data.assistant.default_pack;
-          if ([...$("sa_pack").options || []].some((o) => o.value === packId)) {
-            $("sa_pack").value = packId;
+          if ([...$2("sa_pack").options || []].some((o) => o.value === packId)) {
+            $2("sa_pack").value = packId;
           }
         }
         fillEmptyParamsFromExact();
@@ -3434,9 +3440,9 @@ ${patch.prompt}`;
         })),
         selected_gen_result: state.selectedGenResultId || null,
         has_civitai_key: !!inv.has_civitai_key,
-        auto_apply: !!$("sa_auto_apply")?.checked,
-        auto_generate: !!$("sa_auto_generate")?.checked,
-        persona: $("sa_persona")?.value || localStorage.getItem(LS_PERSONA) || "neutral",
+        auto_apply: !!$2("sa_auto_apply")?.checked,
+        auto_generate: !!$2("sa_auto_generate")?.checked,
+        persona: $2("sa_persona")?.value || localStorage.getItem(LS_PERSONA) || "neutral",
         model_cards: [],
         user_prefs_count: 0,
         ...initCtx
@@ -3828,8 +3834,8 @@ ${patch.prompt}`;
       setStatus("\u041F\u0430\u0442\u0447\u0438 \u0443\u0431\u0440\u0430\u043D\u044B \u0438\u0437 \u0447\u0430\u0442\u0430");
     }
     function toggleMoreMenu(menuId, btnId) {
-      const menu = $(menuId);
-      const btn = $(btnId);
+      const menu = $2(menuId);
+      const btn = $2(btnId);
       if (!menu) {
         return;
       }
@@ -3850,7 +3856,7 @@ ${patch.prompt}`;
       document.querySelectorAll("#sa_btn_board_more, #sa_btn_clear_more").forEach((b) => b.setAttribute("aria-expanded", "false"));
     }
     function setPackValue(packName, { flash, user } = {}) {
-      const pack = $("sa_pack");
+      const pack = $2("sa_pack");
       if (!pack || !packName) {
         return false;
       }
@@ -3876,7 +3882,7 @@ ${patch.prompt}`;
       if (state.packUserTouched) {
         return null;
       }
-      const cur = $("sa_pack")?.value || defaultPackId();
+      const cur = $2("sa_pack")?.value || defaultPackId();
       if (cur === "ordinary") {
         return null;
       }
@@ -3911,7 +3917,7 @@ ${patch.prompt}`;
       if (state.packUserTouched) {
         return;
       }
-      const cur = $("sa_pack")?.value || "";
+      const cur = $2("sa_pack")?.value || "";
       if (cur === "critique_image" || cur === "describe_ref") {
         setPackValue(defaultPackId(), { flash: true });
       }
@@ -4226,15 +4232,15 @@ ${patch.prompt}`;
                 accent: p.accent,
                 source: p.source
               }));
-              renderPersonaOptions(state.personas, preferId || $("sa_persona")?.value);
+              renderPersonaOptions(state.personas, preferId || $2("sa_persona")?.value);
             }
-            if (preferId && $("sa_persona")) {
-              if ([...$("sa_persona").options].some((o) => o.value === preferId)) {
-                $("sa_persona").value = preferId;
+            if (preferId && $2("sa_persona")) {
+              if ([...$2("sa_persona").options].some((o) => o.value === preferId)) {
+                $2("sa_persona").value = preferId;
                 await applyPersonaForChat(preferId, { quiet: true });
               }
             } else {
-              loadConfig($("sa_persona")?.value, () => resolve());
+              loadConfig($2("sa_persona")?.value, () => resolve());
               return;
             }
             resolve();
@@ -4261,16 +4267,16 @@ ${patch.prompt}`;
       return false;
     }
     function shouldParkLlmBeforeGen() {
-      return !!$("sa_park_llm")?.checked;
+      return !!$2("sa_park_llm")?.checked;
     }
     function parkLlm() {
       return new Promise((resolve) => {
-        const model = $("sa_model")?.value;
+        const model = $2("sa_model")?.value;
         if (!shouldParkLlmBeforeGen() || !model || state.llmParked || typeof genericRequest !== "function") {
           resolve(false);
           return;
         }
-        const baseUrl = $("sa_base_url")?.value || "http://127.0.0.1:11434";
+        const baseUrl = $2("sa_base_url")?.value || "http://127.0.0.1:11434";
         let settled = false;
         const finish = (ok) => {
           if (settled) {
@@ -4289,7 +4295,7 @@ ${patch.prompt}`;
     }
     function warmLlm({ force = false } = {}) {
       return new Promise((resolve) => {
-        const model = $("sa_model")?.value;
+        const model = $2("sa_model")?.value;
         if (!model || typeof genericRequest !== "function") {
           resolve(false);
           return;
@@ -4298,7 +4304,7 @@ ${patch.prompt}`;
           resolve(false);
           return;
         }
-        const baseUrl = $("sa_base_url")?.value || "http://127.0.0.1:11434";
+        const baseUrl = $2("sa_base_url")?.value || "http://127.0.0.1:11434";
         let settled = false;
         const finish = (ok) => {
           if (settled) {
@@ -4514,7 +4520,7 @@ ${patch.prompt}`;
     }
     async function runGenerateFromPatch(patch, opts = {}) {
       const force = !!opts.force;
-      if (!force && !$("sa_auto_generate")?.checked || !patchHasGenTrigger(patch)) {
+      if (!force && !$2("sa_auto_generate")?.checked || !patchHasGenTrigger(patch)) {
         return null;
       }
       const variantItems = normalizeVariantList(patch);
@@ -4610,7 +4616,7 @@ ${patch.prompt}`;
       }
       const paneVisible = !!document.getElementById("swarm_assistent_root")?.offsetParent;
       const multiDone = !!(jobs && finishedGenResultCount() > 1);
-      const willAutoCritique = !multiDone && !!$("sa_auto_critique")?.checked;
+      const willAutoCritique = !multiDone && !!$2("sa_auto_critique")?.checked;
       if (state.view === "chat" && paneVisible && !willAutoCritique && epoch === state.chatEpoch) {
         startBusyUi("warming");
         setStatus("\u0412\u043E\u0437\u0432\u0440\u0430\u0449\u0430\u044E LLM \u0432 GPU\u2026");
@@ -4660,7 +4666,7 @@ ${patch.prompt}`;
       return src && !looksLikeModelPreview(src) ? src : null;
     }
     async function maybeAutoCritique(imageSrc) {
-      if (!$("sa_auto_critique")?.checked || turnHopUsed("critique") || isMultiGenResults()) {
+      if (!$2("sa_auto_critique")?.checked || turnHopUsed("critique") || isMultiGenResults()) {
         return;
       }
       const src = await resolveFinishedGenerateSrc(imageSrc);
@@ -4672,8 +4678,8 @@ ${patch.prompt}`;
         return;
       }
       setPackValue("critique_image", { flash: true });
-      if ($("sa_input")) {
-        $("sa_input").value = "Critique this result and improve the prompt for the next generation.";
+      if ($2("sa_input")) {
+        $2("sa_input").value = "Critique this result and improve the prompt for the next generation.";
       }
       const gen = generateSlot();
       if (gen) {
@@ -4686,7 +4692,7 @@ ${patch.prompt}`;
       restoreDefaultPackAfterHop();
     }
     async function maybeAutoVisionLook(imageSrc) {
-      if (!wantsAutoVision() || $("sa_auto_critique")?.checked || turnHopUsed("vision") || state.busy || isMultiGenResults()) {
+      if (!wantsAutoVision() || $2("sa_auto_critique")?.checked || turnHopUsed("vision") || state.busy || isMultiGenResults()) {
         return;
       }
       const src = await resolveFinishedGenerateSrc(imageSrc);
@@ -4703,8 +4709,8 @@ ${patch.prompt}`;
         return;
       }
       setPackValue("critique_image", { flash: true });
-      if ($("sa_input")) {
-        $("sa_input").value = "Look at the Generate result and briefly say what worked and what to fix next.";
+      if ($2("sa_input")) {
+        $2("sa_input").value = "Look at the Generate result and briefly say what worked and what to fix next.";
       }
       setStatus("Auto look_at\u2026");
       await sendChat({ fromVisionHop: true, forceSlotIds: [GEN_ID], skipAutoPack: true });
@@ -4735,13 +4741,13 @@ ${patch.prompt}`;
       setView("chat");
       const label = (state.genResults || []).find((r) => r.id === state.selectedGenResultId)?.label;
       setPackValue("critique_image", { flash: true });
-      if ($("sa_input")) {
-        $("sa_input").value = label ? `\u041F\u043E\u0441\u043C\u043E\u0442\u0440\u0438 \u0440\u0435\u0437\u0443\u043B\u044C\u0442\u0430\u0442 \xAB${label}\xBB: \u0447\u0442\u043E \u043F\u043E\u043B\u0443\u0447\u0438\u043B\u043E\u0441\u044C, \u0447\u0442\u043E \u0441\u043B\u043E\u043C\u0430\u043B\u043E\u0441\u044C, \u0438 \u043A\u0430\u043A \u043F\u043E\u043F\u0440\u0430\u0432\u0438\u0442\u044C \u043F\u0440\u043E\u043C\u043F\u0442 \u0438 \u043F\u0430\u0440\u0430\u043C\u0435\u0442\u0440\u044B \u0434\u043B\u044F \u0441\u043B\u0435\u0434\u0443\u044E\u0449\u0435\u0433\u043E \u043A\u0430\u0434\u0440\u0430.` : "\u041F\u043E\u0441\u043C\u043E\u0442\u0440\u0438 \u0440\u0435\u0437\u0443\u043B\u044C\u0442\u0430\u0442: \u0447\u0442\u043E \u043F\u043E\u043B\u0443\u0447\u0438\u043B\u043E\u0441\u044C, \u0447\u0442\u043E \u0441\u043B\u043E\u043C\u0430\u043B\u043E\u0441\u044C, \u0438 \u043A\u0430\u043A \u043F\u043E\u043F\u0440\u0430\u0432\u0438\u0442\u044C \u043F\u0440\u043E\u043C\u043F\u0442 \u0438 \u043F\u0430\u0440\u0430\u043C\u0435\u0442\u0440\u044B \u0434\u043B\u044F \u0441\u043B\u0435\u0434\u0443\u044E\u0449\u0435\u0433\u043E \u043A\u0430\u0434\u0440\u0430.";
+      if ($2("sa_input")) {
+        $2("sa_input").value = label ? `\u041F\u043E\u0441\u043C\u043E\u0442\u0440\u0438 \u0440\u0435\u0437\u0443\u043B\u044C\u0442\u0430\u0442 \xAB${label}\xBB: \u0447\u0442\u043E \u043F\u043E\u043B\u0443\u0447\u0438\u043B\u043E\u0441\u044C, \u0447\u0442\u043E \u0441\u043B\u043E\u043C\u0430\u043B\u043E\u0441\u044C, \u0438 \u043A\u0430\u043A \u043F\u043E\u043F\u0440\u0430\u0432\u0438\u0442\u044C \u043F\u0440\u043E\u043C\u043F\u0442 \u0438 \u043F\u0430\u0440\u0430\u043C\u0435\u0442\u0440\u044B \u0434\u043B\u044F \u0441\u043B\u0435\u0434\u0443\u044E\u0449\u0435\u0433\u043E \u043A\u0430\u0434\u0440\u0430.` : "\u041F\u043E\u0441\u043C\u043E\u0442\u0440\u0438 \u0440\u0435\u0437\u0443\u043B\u044C\u0442\u0430\u0442: \u0447\u0442\u043E \u043F\u043E\u043B\u0443\u0447\u0438\u043B\u043E\u0441\u044C, \u0447\u0442\u043E \u0441\u043B\u043E\u043C\u0430\u043B\u043E\u0441\u044C, \u0438 \u043A\u0430\u043A \u043F\u043E\u043F\u0440\u0430\u0432\u0438\u0442\u044C \u043F\u0440\u043E\u043C\u043F\u0442 \u0438 \u043F\u0430\u0440\u0430\u043C\u0435\u0442\u0440\u044B \u0434\u043B\u044F \u0441\u043B\u0435\u0434\u0443\u044E\u0449\u0435\u0433\u043E \u043A\u0430\u0434\u0440\u0430.";
       }
       await sendChat({ forceSlotIds: [GEN_ID], skipAutoPack: true });
     }
     function currentPersonaInfo() {
-      const id = ($("sa_persona")?.value || localStorage.getItem(LS_PERSONA) || "neutral").trim() || "neutral";
+      const id = ($2("sa_persona")?.value || localStorage.getItem(LS_PERSONA) || "neutral").trim() || "neutral";
       const known = (state.personas || []).find((p) => p && p.id === id);
       return {
         id,
@@ -4757,7 +4763,7 @@ ${patch.prompt}`;
         return;
       }
       const persona = meta.persona || currentPersonaInfo();
-      const pack = meta.pack || $("sa_pack")?.value || "";
+      const pack = meta.pack || $2("sa_pack")?.value || "";
       div.dataset.persona = persona.id || "neutral";
       if (pack) {
         div.dataset.pack = pack;
@@ -4779,7 +4785,7 @@ ${patch.prompt}`;
       div.insertBefore(row, div.firstChild);
     }
     function appendMessage(role, text, patch, civitaiResults, meta) {
-      const box = $("sa_messages");
+      const box = $2("sa_messages");
       if (!box) {
         return null;
       }
@@ -4803,12 +4809,15 @@ ${patch.prompt}`;
       if (civitaiResults && civitaiResults.length) {
         div.appendChild(buildCivitaiCards(civitaiResults));
       }
+      if (role === "assistant" && !(meta && meta.historical)) {
+        mountCurateButtons(div, meta);
+      }
       box.appendChild(div);
       scrollMessagesToBottom({ force: true });
       return div;
     }
     function beginStreamMessage(meta) {
-      const box = $("sa_messages");
+      const box = $2("sa_messages");
       if (!box) {
         return null;
       }
@@ -4921,8 +4930,74 @@ ${patch.prompt}`;
       if (civitaiResults && civitaiResults.length) {
         el.appendChild(buildCivitaiCards(civitaiResults));
       }
+      if (!(meta && meta.historical)) {
+        mountCurateButtons(el, meta);
+      }
       scrollMessagesToBottom();
     }
+    function mountCurateButtons(msgEl, meta) {
+      if (!msgEl || msgEl.querySelector(".sa-msg-curate")) {
+        return;
+      }
+      const wrap = document.createElement("div");
+      wrap.className = "sa-msg-curate";
+      const ok = document.createElement("button");
+      ok.type = "button";
+      ok.className = "basic-button";
+      ok.title = "\u0412 \u0434\u0430\u0442\u0430\u0441\u0435\u0442 (\u043E\u0434\u043E\u0431\u0440\u0438\u0442\u044C)";
+      ok.textContent = "+ \u0434\u0430\u0442\u0430\u0441\u0435\u0442";
+      ok.addEventListener("click", () => curateAssistantMessage(msgEl, "approved"));
+      const bad = document.createElement("button");
+      bad.type = "button";
+      bad.className = "basic-button";
+      bad.title = "\u041E\u0442\u043A\u043B\u043E\u043D\u0438\u0442\u044C \u0434\u043B\u044F \u0434\u0430\u0442\u0430\u0441\u0435\u0442\u0430";
+      bad.textContent = "\u0431\u0440\u0430\u043A";
+      bad.addEventListener("click", () => curateAssistantMessage(msgEl, "rejected"));
+      wrap.appendChild(ok);
+      wrap.appendChild(bad);
+      msgEl.appendChild(wrap);
+    }
+    function curateAssistantMessage(msgEl, status) {
+      const hist = state.history || [];
+      let asstText = msgEl.querySelector(".sa-msg-body")?.textContent?.trim() || msgEl.textContent?.trim() || "";
+      let userText = "";
+      for (let i = hist.length - 1; i >= 0; i--) {
+        if (hist[i]?.role === "assistant" && (hist[i].content || "").trim() === asstText.trim()) {
+          for (let j = i - 1; j >= 0; j--) {
+            if (hist[j]?.role === "user") {
+              userText = hist[j].content || "";
+              break;
+            }
+          }
+          break;
+        }
+      }
+      if (!userText) {
+        for (let i = hist.length - 1; i >= 0; i--) {
+          if (hist[i]?.role === "user") {
+            userText = hist[i].content || "";
+            break;
+          }
+        }
+      }
+      const messages = [
+        { role: "user", content: userText },
+        { role: "assistant", content: asstText }
+      ];
+      window.SA?.training?.curateFromChat?.(messages, {
+        chatId: state.activeChatId,
+        persona: $2("sa_persona")?.value || "neutral",
+        pack: $2("sa_pack")?.value || defaultPackId(),
+        status
+      })?.then?.((ok) => {
+        if (ok) {
+          setStatus(status === "approved" ? "\u041F\u0440\u0438\u043C\u0435\u0440 \u0434\u043E\u0431\u0430\u0432\u043B\u0435\u043D \u0432 \u0434\u0430\u0442\u0430\u0441\u0435\u0442" : "\u041F\u0440\u0438\u043C\u0435\u0440 \u043E\u0442\u043C\u0435\u0447\u0435\u043D \u043A\u0430\u043A \u0431\u0440\u0430\u043A");
+        }
+      });
+    }
+    function isTrainingLocked() {
+      return !!state.trainingLock || document.getElementById("swarm_assistent_root")?.classList.contains("sa-root-training-lock");
+    }
     function buildCivitaiCards(results) {
       const list = document.createElement("div");
       list.className = "sa-civitai-list";
@@ -5039,8 +5114,8 @@ ${patch.prompt}`;
         version_id: civitai?.version_id || civitai?.modelVersionId,
         name: display
       };
-      if ($("sa_input")) {
-        $("sa_input").value = "";
+      if ($2("sa_input")) {
+        $2("sa_input").value = "";
       }
       await sendChat({
         forcedUserText: `LoRA "${display}" is now installed. Write a recommendation card (JSON) using its triggers/metadata. Then briefly suggest how to enable it in the next generate.`,
@@ -5052,7 +5127,7 @@ ${patch.prompt}`;
       });
     }
     function wantsAutoVision() {
-      return !!$("sa_auto_vision")?.checked;
+      return !!$2("sa_auto_vision")?.checked;
     }
     function looksLikeModelPreview(src) {
       const s = String(src || "").toLowerCase();
@@ -5239,32 +5314,32 @@ ${patch.prompt}`;
       const autoDl = localStorage.getItem(LS_AUTO_DOWNLOAD);
       const parkLlm2 = localStorage.getItem(LS_PARK_LLM);
       const paneW = localStorage.getItem(LS_PANE_WIDTH);
-      if (base && $("sa_base_url")) {
-        $("sa_base_url").value = base;
+      if (base && $2("sa_base_url")) {
+        $2("sa_base_url").value = base;
       }
-      if (pack && $("sa_pack")) {
-        $("sa_pack").value = pack;
+      if (pack && $2("sa_pack")) {
+        $2("sa_pack").value = pack;
       }
-      if (persona && $("sa_persona")) {
-        $("sa_persona").value = persona;
+      if (persona && $2("sa_persona")) {
+        $2("sa_persona").value = persona;
       }
-      if (auto != null && $("sa_auto_vision")) {
-        $("sa_auto_vision").checked = auto === "1";
+      if (auto != null && $2("sa_auto_vision")) {
+        $2("sa_auto_vision").checked = auto === "1";
       }
-      if ($("sa_auto_apply")) {
-        $("sa_auto_apply").checked = autoApply == null ? true : autoApply === "1";
+      if ($2("sa_auto_apply")) {
+        $2("sa_auto_apply").checked = autoApply == null ? true : autoApply === "1";
       }
-      if ($("sa_auto_generate")) {
-        $("sa_auto_generate").checked = autoGen == null ? true : autoGen === "1";
+      if ($2("sa_auto_generate")) {
+        $2("sa_auto_generate").checked = autoGen == null ? true : autoGen === "1";
       }
-      if ($("sa_auto_critique") && autoCrit != null) {
-        $("sa_auto_critique").checked = autoCrit === "1";
+      if ($2("sa_auto_critique") && autoCrit != null) {
+        $2("sa_auto_critique").checked = autoCrit === "1";
       }
-      if ($("sa_auto_download") && autoDl != null) {
-        $("sa_auto_download").checked = autoDl === "1";
+      if ($2("sa_auto_download") && autoDl != null) {
+        $2("sa_auto_download").checked = autoDl === "1";
       }
-      if ($("sa_park_llm")) {
-        $("sa_park_llm").checked = parkLlm2 === "1";
+      if ($2("sa_park_llm")) {
+        $2("sa_park_llm").checked = parkLlm2 === "1";
       }
       if (model) {
         state.preferredModel = model;
@@ -5276,9 +5351,14 @@ ${patch.prompt}`;
       if (paneW) {
         document.documentElement.style.setProperty("--sa-image-width", paneW);
       }
-      if (view === "cards" || view === "chat" || view === "settings") {
+      if (view === "cards" || view === "chat" || view === "settings" || view === "train") {
         state.view = view;
       }
+      const drawer = localStorage.getItem(LS_CHATS_DRAWER);
+      if (drawer != null) {
+        state.chatsDrawerOpen = drawer === "1";
+        state.chatsPanelOpen = state.chatsDrawerOpen;
+      }
       const boardTab = localStorage.getItem(LS_BOARD_TAB);
       if (boardTab === "refs" || boardTab === "generate") {
         state.boardTab = boardTab;
@@ -5286,20 +5366,21 @@ ${patch.prompt}`;
     }
     function collectUiState() {
       return {
-        pack: $("sa_pack")?.value || defaultPackId(),
-        persona: $("sa_persona")?.value || "neutral",
-        auto_vision: !!$("sa_auto_vision")?.checked,
-        auto_apply: !!$("sa_auto_apply")?.checked,
-        auto_generate: !!$("sa_auto_generate")?.checked,
-        auto_critique: !!$("sa_auto_critique")?.checked,
-        auto_download: !!$("sa_auto_download")?.checked,
-        park_llm: !!$("sa_park_llm")?.checked,
+        pack: $2("sa_pack")?.value || defaultPackId(),
+        persona: $2("sa_persona")?.value || "neutral",
+        auto_vision: !!$2("sa_auto_vision")?.checked,
+        auto_apply: !!$2("sa_auto_apply")?.checked,
+        auto_generate: !!$2("sa_auto_generate")?.checked,
+        auto_critique: !!$2("sa_auto_critique")?.checked,
+        auto_download: !!$2("sa_auto_download")?.checked,
+        park_llm: !!$2("sa_park_llm")?.checked,
         pane_width: localStorage.getItem(LS_PANE_WIDTH) || "",
-        embed_model: $("sa_embed_model")?.value || state.preferredEmbed || "",
-        base_url: $("sa_base_url")?.value || "",
-        model: $("sa_model")?.value || "",
+        embed_model: $2("sa_embed_model")?.value || state.preferredEmbed || "",
+        base_url: $2("sa_base_url")?.value || "",
+        model: $2("sa_model")?.value || "",
         view: state.view || "chat",
-        board_tab: state.boardTab || "generate"
+        board_tab: state.boardTab || "generate",
+        chats_drawer: state.chatsDrawerOpen ? "1" : "0"
       };
     }
     async function applyDiskUiState() {
@@ -5324,8 +5405,8 @@ ${patch.prompt}`;
         apply?.(String(value));
       };
       fill(LS_BASE, ui.base_url, (v) => {
-        if ($("sa_base_url")) {
-          $("sa_base_url").value = v;
+        if ($2("sa_base_url")) {
+          $2("sa_base_url").value = v;
         }
       });
       fill(LS_MODEL, ui.model, (v) => {
@@ -5335,17 +5416,17 @@ ${patch.prompt}`;
         state.preferredEmbed = v;
       });
       fill(LS_PACK, ui.pack, (v) => {
-        if ($("sa_pack")) {
-          $("sa_pack").value = v;
+        if ($2("sa_pack")) {
+          $2("sa_pack").value = v;
         }
       });
       fill(LS_PERSONA, ui.persona, (v) => {
-        if ($("sa_persona")) {
-          $("sa_persona").value = v;
+        if ($2("sa_persona")) {
+          $2("sa_persona").value = v;
         }
       });
       fill(LS_PANE_WIDTH, ui.pane_width, (v) => document.documentElement.style.setProperty("--sa-image-width", v));
-      if (ui.view === "cards" || ui.view === "chat" || ui.view === "settings") {
+      if (ui.view === "cards" || ui.view === "chat" || ui.view === "settings" || ui.view === "train") {
         fill(LS_VIEW, ui.view, (v) => {
           state.view = v;
         });
@@ -5355,6 +5436,12 @@ ${patch.prompt}`;
           state.boardTab = v;
         });
       }
+      if (ui.chats_drawer != null && localStorage.getItem(LS_CHATS_DRAWER) == null) {
+        const open = ui.chats_drawer === true || ui.chats_drawer === "1" || ui.chats_drawer === 1;
+        localStorage.setItem(LS_CHATS_DRAWER, open ? "1" : "0");
+        state.chatsDrawerOpen = open;
+        state.chatsPanelOpen = open;
+      }
       for (const [key, lsKey, id] of [
         ["auto_vision", LS_AUTO_VISION, "sa_auto_vision"],
         ["auto_apply", LS_AUTO_APPLY, "sa_auto_apply"],
@@ -5371,7 +5458,7 @@ ${patch.prompt}`;
           continue;
         }
         localStorage.setItem(lsKey, on ? "1" : "0");
-        const el = $(id);
+        const el = $2(id);
         if (el) {
           el.checked = on;
         }
@@ -5381,18 +5468,18 @@ ${patch.prompt}`;
       diskPersist()?.saveUiState(collectUiState());
     }
     function saveSettings() {
-      localStorage.setItem(LS_BASE, $("sa_base_url")?.value || "");
-      localStorage.setItem(LS_MODEL, $("sa_model")?.value || "");
-      localStorage.setItem(LS_EMBED, $("sa_embed_model")?.value || state.preferredEmbed || "");
-      localStorage.setItem(LS_PACK, $("sa_pack")?.value || defaultPackId());
-      localStorage.setItem(LS_PERSONA, $("sa_persona")?.value || "neutral");
+      localStorage.setItem(LS_BASE, $2("sa_base_url")?.value || "");
+      localStorage.setItem(LS_MODEL, $2("sa_model")?.value || "");
+      localStorage.setItem(LS_EMBED, $2("sa_embed_model")?.value || state.preferredEmbed || "");
+      localStorage.setItem(LS_PACK, $2("sa_pack")?.value || defaultPackId());
+      localStorage.setItem(LS_PERSONA, $2("sa_persona")?.value || "neutral");
       localStorage.setItem(LS_VIEW, state.view || "chat");
-      localStorage.setItem(LS_AUTO_VISION, $("sa_auto_vision")?.checked ? "1" : "0");
-      localStorage.setItem(LS_AUTO_APPLY, $("sa_auto_apply")?.checked ? "1" : "0");
-      localStorage.setItem(LS_AUTO_GENERATE, $("sa_auto_generate")?.checked ? "1" : "0");
-      localStorage.setItem(LS_AUTO_CRITIQUE, $("sa_auto_critique")?.checked ? "1" : "0");
-      localStorage.setItem(LS_AUTO_DOWNLOAD, $("sa_auto_download")?.checked ? "1" : "0");
-      localStorage.setItem(LS_PARK_LLM, $("sa_park_llm")?.checked ? "1" : "0");
+      localStorage.setItem(LS_AUTO_VISION, $2("sa_auto_vision")?.checked ? "1" : "0");
+      localStorage.setItem(LS_AUTO_APPLY, $2("sa_auto_apply")?.checked ? "1" : "0");
+      localStorage.setItem(LS_AUTO_GENERATE, $2("sa_auto_generate")?.checked ? "1" : "0");
+      localStorage.setItem(LS_AUTO_CRITIQUE, $2("sa_auto_critique")?.checked ? "1" : "0");
+      localStorage.setItem(LS_AUTO_DOWNLOAD, $2("sa_auto_download")?.checked ? "1" : "0");
+      localStorage.setItem(LS_PARK_LLM, $2("sa_park_llm")?.checked ? "1" : "0");
       persistServerSettings();
       saveUiStateToDisk();
     }
@@ -5404,10 +5491,10 @@ ${patch.prompt}`;
       document.querySelectorAll("#sa_skills_box input[data-skill]")?.forEach((el) => {
         skills[el.getAttribute("data-skill")] = !!el.checked;
       });
-      const persona = $("sa_persona")?.value || "neutral";
+      const persona = $2("sa_persona")?.value || "neutral";
       const settings = {
-        embed_model: $("sa_embed_model")?.value || state.preferredEmbed || "",
-        base_url: $("sa_base_url")?.value || "",
+        embed_model: $2("sa_embed_model")?.value || state.preferredEmbed || "",
+        base_url: $2("sa_base_url")?.value || "",
         [persona]: { skills }
       };
       genericRequest("AssistentSaveSettings", { settings }, () => {
@@ -5418,7 +5505,7 @@ ${patch.prompt}`;
       if (!data || data.error) {
         return;
       }
-      const prevPersona = state.config?.persona || $("sa_persona")?.value || "";
+      const prevPersona = state.config?.persona || $2("sa_persona")?.value || "";
       const prevControls = state.config?.control_values && typeof state.config.control_values === "object" ? { ...state.config.control_values } : null;
       state.config = data;
       if (window.SA?.applyConfigPatchKeys) {
@@ -5477,8 +5564,8 @@ ${data.ui.help_extra}`.trim();
       renderPackOptions(data.packs || [], applyDefaults ? data.assistant?.default_pack : null);
       renderChips(data.ui?.chips || []);
       renderSkillChecks(data.skills || [], state.enabledSkills);
-      if (applyDefaults && data.assistant?.default_pack && $("sa_pack") && !localStorage.getItem(LS_PACK)) {
-        $("sa_pack").value = data.assistant.default_pack;
+      if (applyDefaults && data.assistant?.default_pack && $2("sa_pack") && !localStorage.getItem(LS_PACK)) {
+        $2("sa_pack").value = data.assistant.default_pack;
       }
       if (data.assistant?.embed_model && !state.preferredEmbed) {
         state.preferredEmbed = data.assistant.embed_model;
@@ -5506,7 +5593,7 @@ ${data.ui.help_extra}`.trim();
       if (applyDefaults || data.exact) {
         fillEmptyParamsFromExact();
       }
-      const nextPersona = data.persona || $("sa_persona")?.value || "";
+      const nextPersona = data.persona || $2("sa_persona")?.value || "";
       let controlValues = data.control_values || data.exact?.controls || {};
       if (!applyDefaults && prevControls && nextPersona === prevPersona) {
         controlValues = { ...controlValues, ...prevControls };
@@ -5516,10 +5603,10 @@ ${data.ui.help_extra}`.trim();
         }
       }
       renderPersonaControls(data.controls || {}, controlValues);
-      syncPersonaDeleteButton(data.persona_source || data.personas?.find((p) => p.id === (data.persona || $("sa_persona")?.value))?.source);
+      syncPersonaDeleteButton(data.persona_source || data.personas?.find((p) => p.id === (data.persona || $2("sa_persona")?.value))?.source);
     }
     function syncPersonaDeleteButton(source) {
-      const btn = $("sa_persona_delete");
+      const btn = $2("sa_persona_delete");
       if (!btn) {
         return;
       }
@@ -5532,7 +5619,7 @@ ${data.ui.help_extra}`.trim();
     let controlsPointerDown = false;
     let pendingControlsRender = null;
     function renderPersonaControls(schema, values) {
-      const box = $("sa_persona_controls");
+      const box = $2("sa_persona_controls");
       if (!box) {
         return;
       }
@@ -5643,7 +5730,7 @@ ${data.ui.help_extra}`.trim();
       return Number.isFinite(n) ? n : fallback;
     }
     function coolDownHorny() {
-      const persona = $("sa_persona")?.value || "";
+      const persona = $2("sa_persona")?.value || "";
       if (persona !== "leonid") {
         setStatus("/\u043E\u0441\u0442\u044B\u043D\u044C \u0442\u043E\u043B\u044C\u043A\u043E \u0434\u043B\u044F Leonid");
         return;
@@ -5674,7 +5761,7 @@ ${data.ui.help_extra}`.trim();
       setStatus(`/\u043E\u0441\u0442\u044B\u043D\u044C \u2192 ${Math.round(next)}%`);
     }
     async function startHornyGame() {
-      const persona = $("sa_persona")?.value || "";
+      const persona = $2("sa_persona")?.value || "";
       if (persona !== "leonid") {
         setStatus("/horny-game \u0442\u043E\u043B\u044C\u043A\u043E \u0434\u043B\u044F Leonid");
         return;
@@ -5692,7 +5779,7 @@ ${data.ui.help_extra}`.trim();
       setStatus("/horny-game\u2026");
     }
     function savePersonaControls(partial) {
-      const persona = $("sa_persona")?.value || "neutral";
+      const persona = $2("sa_persona")?.value || "neutral";
       if (typeof genericRequest !== "function") {
         return;
       }
@@ -5727,7 +5814,7 @@ ${data.ui.help_extra}`.trim();
       );
     }
     function syncPersonaControlInputs(values) {
-      const box = $("sa_persona_controls");
+      const box = $2("sa_persona_controls");
       if (!box || !values || typeof values !== "object") {
         return;
       }
@@ -5750,7 +5837,7 @@ ${data.ui.help_extra}`.trim();
       });
     }
     async function deleteCurrentOverlayPersona() {
-      const id = $("sa_persona")?.value;
+      const id = $2("sa_persona")?.value;
       if (!id) {
         return;
       }
@@ -5780,8 +5867,8 @@ ${data.ui.help_extra}`.trim();
               state.personas = data.personas;
             }
             renderPersonaOptions(state.personas || [], next);
-            if ($("sa_persona")) {
-              $("sa_persona").value = next;
+            if ($2("sa_persona")) {
+              $2("sa_persona").value = next;
             }
             await applyPersonaForChat(next, { quiet: false });
             setStatus(`\u0423\u0434\u0430\u043B\u0435\u043D\u043E: ${id}`);
@@ -5796,7 +5883,7 @@ ${data.ui.help_extra}`.trim();
       });
     }
     function renderPersonaOptions(personas, selected) {
-      const sel = $("sa_persona");
+      const sel = $2("sa_persona");
       if (!sel) {
         return;
       }
@@ -5818,7 +5905,7 @@ ${data.ui.help_extra}`.trim();
       syncPersonaDeleteButton(meta?.source || state.config?.persona_source);
     }
     function renderPackOptions(packs, preferred) {
-      const sel = $("sa_pack");
+      const sel = $2("sa_pack");
       if (!sel) {
         return;
       }
@@ -5836,7 +5923,7 @@ ${data.ui.help_extra}`.trim();
       }
     }
     function renderChips(chips) {
-      const box = $("sa_chips");
+      const box = $2("sa_chips");
       if (!box || !Array.isArray(chips) || !chips.length) {
         return;
       }
@@ -5871,7 +5958,7 @@ ${data.ui.help_extra}`.trim();
       }
     }
     function renderSkillChecks(skills, enabled) {
-      const box = $("sa_skills_box");
+      const box = $2("sa_skills_box");
       if (!box) {
         return;
       }
@@ -5901,7 +5988,7 @@ ${data.ui.help_extra}`.trim();
       }
       genericRequest(
         "AssistentGetConfig",
-        { persona: persona || $("sa_persona")?.value || "neutral" },
+        { persona: persona || $2("sa_persona")?.value || "neutral" },
         (data) => {
           applyConfigPayload(data, { applyDefaults: true });
           done?.(data);
@@ -5948,8 +6035,8 @@ ${data.ui.help_extra}`.trim();
       return preferred || list[0];
     }
     function setModelOptions(models, { error, preferred } = {}) {
-      const sel = $("sa_model");
-      const sel2 = $("sa_settings_chat_model");
+      const sel = $2("sa_model");
+      const sel2 = $2("sa_settings_chat_model");
       const apply = (target) => {
         if (!target) {
           return;
@@ -5988,7 +6075,7 @@ ${data.ui.help_extra}`.trim();
       apply(sel2);
     }
     function setEmbedModelOptions(models) {
-      const sel = $("sa_embed_model");
+      const sel = $2("sa_embed_model");
       if (!sel) {
         return;
       }
@@ -6019,7 +6106,7 @@ ${data.ui.help_extra}`.trim();
       }
     }
     function refreshModels() {
-      const baseUrl = $("sa_base_url")?.value || "http://127.0.0.1:11434";
+      const baseUrl = $2("sa_base_url")?.value || "http://127.0.0.1:11434";
       setStatus("Loading models\u2026");
       if (typeof genericRequest !== "function") {
         setStatus("SwarmUI API not ready");
@@ -6036,10 +6123,10 @@ ${data.ui.help_extra}`.trim();
           setModelOptions(models, { preferred });
           setEmbedModelOptions(memoryModels);
           const pick = resolveChatModel(models, preferred);
-          if (pick && $("sa_model")) {
-            $("sa_model").value = pick;
-            if ($("sa_settings_chat_model")) {
-              $("sa_settings_chat_model").value = pick;
+          if (pick && $2("sa_model")) {
+            $2("sa_model").value = pick;
+            if ($2("sa_settings_chat_model")) {
+              $2("sa_settings_chat_model").value = pick;
             }
             state.preferredModel = pick;
             localStorage.setItem(LS_MODEL, pick);
@@ -6107,16 +6194,16 @@ ${data.ui.help_extra}`.trim();
       return new Promise((resolve) => refreshInventory(resolve, opts));
     }
     function memoryKindFilter() {
-      return $("sa_mem_kind")?.value || "all";
+      return $2("sa_mem_kind")?.value || "all";
     }
     function memoryScopeFilter() {
-      return $("sa_mem_scope")?.value || "all";
+      return $2("sa_mem_scope")?.value || "all";
     }
     function memorySearchFilter() {
-      return ($("sa_mem_search")?.value || "").trim().toLowerCase();
+      return ($2("sa_mem_search")?.value || "").trim().toLowerCase();
     }
     function renderMemoryKinds(kinds) {
-      const sel = $("sa_mem_kind");
+      const sel = $2("sa_mem_kind");
       if (!sel) {
         return;
       }
@@ -6140,7 +6227,7 @@ ${data.ui.help_extra}`.trim();
       const filter = memoryKindFilter();
       const scope = memoryScopeFilter();
       const q = memorySearchFilter();
-      const persona = $("sa_persona")?.value || "neutral";
+      const persona = $2("sa_persona")?.value || "neutral";
       return (state.memoryRows || []).filter((m) => {
         if (filter !== "all" && m.kind !== filter) {
           return false;
@@ -6161,7 +6248,7 @@ ${data.ui.help_extra}`.trim();
       });
     }
     function renderMemoryList() {
-      const root = $("sa_mem_list");
+      const root = $2("sa_mem_list");
       if (!root) {
         return;
       }
@@ -6177,7 +6264,7 @@ ${data.ui.help_extra}`.trim();
         const bundled = row.source === "bundled";
         const when = row.updated ? formatChatWhen(row.updated * 1e3) : "";
         const scope = row.scope === "personal" ? `\u043F\u0435\u0440\u0441\u043E\u043D\u0430 ${row.persona || "\u2014"}` : "\u043E\u0431\u0449\u0430\u044F";
-        el.innerHTML = `<div class="sa-mem-row-body"><div class="sa-mem-row-head"><span class="sa-mem-kind-badge">${escapeHtml(row.kind || "note")}</span><span class="sa-mem-row-key">${escapeHtml(row.key || "")}</span></div><div class="sa-mem-row-text">${escapeHtml(clipDebug(row.text, 220))}</div><div class="sa-mem-row-meta">${escapeHtml([scope, row.source || "user", when].filter(Boolean).join(" \xB7 "))}</div></div>`;
+        el.innerHTML = `<div class="sa-mem-row-body"><div class="sa-mem-row-head"><span class="sa-mem-kind-badge">${escapeHtml2(row.kind || "note")}</span><span class="sa-mem-row-key">${escapeHtml2(row.key || "")}</span></div><div class="sa-mem-row-text">${escapeHtml2(clipDebug(row.text, 220))}</div><div class="sa-mem-row-meta">${escapeHtml2([scope, row.source || "user", when].filter(Boolean).join(" \xB7 "))}</div></div>`;
         const forget = document.createElement("button");
         forget.type = "button";
         forget.className = "basic-button sa-mem-forget";
@@ -6197,7 +6284,7 @@ ${data.ui.help_extra}`.trim();
       if (typeof genericRequest !== "function") {
         return;
       }
-      const list = $("sa_mem_list");
+      const list = $2("sa_mem_list");
       if (list && !state.memoryRows.length) {
         list.innerHTML = '<div class="sa-mem-empty">\u0427\u0438\u0442\u0430\u044E \u043F\u0430\u043C\u044F\u0442\u044C\u2026</div>';
       }
@@ -6208,7 +6295,7 @@ ${data.ui.help_extra}`.trim();
           state.memoryRows = Array.isArray(data?.memories) ? data.memories : [];
           renderMemoryKinds(data?.kinds || []);
           renderMemoryList();
-          const foot = $("sa_mem_total");
+          const foot = $2("sa_mem_total");
           if (foot) {
             foot.textContent = `\u0412\u0441\u0435\u0433\u043E: ${data?.total ?? state.memoryRows.length} \xB7 ${data?.embed_model || "\u2014"}`;
           }
@@ -6216,7 +6303,7 @@ ${data.ui.help_extra}`.trim();
         0,
         (err) => {
           if (list) {
-            list.innerHTML = `<div class="sa-mem-empty">\u041F\u0430\u043C\u044F\u0442\u044C \u043D\u0435\u0434\u043E\u0441\u0442\u0443\u043F\u043D\u0430: ${escapeHtml(String(err || "\u043E\u0448\u0438\u0431\u043A\u0430"))}</div>`;
+            list.innerHTML = `<div class="sa-mem-empty">\u041F\u0430\u043C\u044F\u0442\u044C \u043D\u0435\u0434\u043E\u0441\u0442\u0443\u043F\u043D\u0430: ${escapeHtml2(String(err || "\u043E\u0448\u0438\u0431\u043A\u0430"))}</div>`;
           }
         }
       );
@@ -6289,9 +6376,9 @@ ${data.ui.help_extra}`.trim();
       }
       if (state.settingsTab === "models") {
         syncSettingsHealthLine();
-        const m = $("sa_model")?.value;
-        if (m && $("sa_settings_chat_model")) {
-          $("sa_settings_chat_model").value = m;
+        const m = $2("sa_model")?.value;
+        if (m && $2("sa_settings_chat_model")) {
+          $2("sa_settings_chat_model").value = m;
         }
       }
       if (state.settingsTab === "more") {
@@ -6302,7 +6389,7 @@ ${data.ui.help_extra}`.trim();
       const asst = data?.assistant || state.config?.assistant || {};
       const exact = data?.exact || state.config?.exact || state.exact || {};
       const setNum = (id, v) => {
-        const el = $(id);
+        const el = $2(id);
         if (el && v != null && Number.isFinite(Number(v))) {
           el.value = String(v);
         }
@@ -6311,10 +6398,10 @@ ${data.ui.help_extra}`.trim();
       setNum("sa_history_keep", asst.history_keep_turns);
       setNum("sa_memory_top_k", asst.memory_top_k);
       const w = asst.user_prefs_weight != null ? Number(asst.user_prefs_weight) : 1;
-      const weightEl = $("sa_user_prefs_weight");
+      const weightEl = $2("sa_user_prefs_weight");
       if (weightEl) {
         weightEl.value = String(Math.max(0, Math.min(1.5, w)));
-        const lab = $("sa_user_prefs_weight_val");
+        const lab = $2("sa_user_prefs_weight_val");
         if (lab) {
           lab.textContent = Number(weightEl.value).toFixed(1);
         }
@@ -6333,7 +6420,7 @@ ${data.ui.help_extra}`.trim();
         return;
       }
       const num = (id) => {
-        const v = parseFloat($(id)?.value);
+        const v = parseFloat($2(id)?.value);
         return Number.isFinite(v) ? v : null;
       };
       const assistant = {
@@ -6379,8 +6466,8 @@ ${data.ui.help_extra}`.trim();
       );
     }
     function syncSettingsHealthLine() {
-      const line = $("sa_settings_health_line");
-      const badge = $("sa_ollama_health");
+      const line = $2("sa_settings_health_line");
+      const badge = $2("sa_ollama_health");
       if (line && badge) {
         line.textContent = badge.textContent || "Ollama \xB7 \u2026";
         line.className = "sa-settings-health " + (badge.className || "").replace("sa-health", "").trim();
@@ -6396,12 +6483,12 @@ ${data.ui.help_extra}`.trim();
       return "\u0432\u0441\u0442\u0440\u043E\u0435\u043D\u043E";
     }
     function renderPersonaSettingsList() {
-      const root = $("sa_persona_list");
+      const root = $2("sa_persona_list");
       if (!root) {
         return;
       }
       const list = state.personas || state.config?.personas || [];
-      const cur = state.settingsPersonaId || $("sa_persona")?.value || list[0]?.id;
+      const cur = state.settingsPersonaId || $2("sa_persona")?.value || list[0]?.id;
       state.settingsPersonaId = cur;
       root.innerHTML = "";
       for (const p of list) {
@@ -6409,7 +6496,7 @@ ${data.ui.help_extra}`.trim();
         btn.type = "button";
         btn.className = "sa-persona-item" + (p.id === cur ? " sa-persona-item-active" : "");
         const accent = p.accent || "currentColor";
-        btn.innerHTML = `<div class="sa-persona-item-title"><span class="sa-persona-dot" style="background:${escapeHtml(accent)}"></span><span>${escapeHtml(p.title || p.id)}</span></div><div class="sa-persona-badge">${escapeHtml(personaSourceLabel(p.source))}</div>`;
+        btn.innerHTML = `<div class="sa-persona-item-title"><span class="sa-persona-dot" style="background:${escapeHtml2(accent)}"></span><span>${escapeHtml2(p.title || p.id)}</span></div><div class="sa-persona-badge">${escapeHtml2(personaSourceLabel(p.source))}</div>`;
         btn.addEventListener("click", () => {
           state.settingsPersonaId = p.id;
           renderPersonaSettingsList();
@@ -6426,13 +6513,13 @@ ${data.ui.help_extra}`.trim();
       const id = state.settingsPersonaId;
       const p = (state.personas || []).find((x) => x.id === id);
       const canDelete = p && (p.source === "overlay" || p.source === "overlay+bundled");
-      const del = $("sa_btn_persona_delete_panel");
+      const del = $2("sa_btn_persona_delete_panel");
       if (del) {
         del.disabled = !canDelete;
       }
     }
     function loadPersonaPreview(id) {
-      const box = $("sa_persona_preview");
+      const box = $2("sa_persona_preview");
       if (!box || typeof genericRequest !== "function") {
         return;
       }
@@ -6450,12 +6537,12 @@ ${summary || "(\u043F\u0443\u0441\u0442\u043E)"}`;
         },
         0,
         (err) => {
-          box.innerHTML = `<div class="sa-mem-empty">${escapeHtml(String(err || "\u043E\u0448\u0438\u0431\u043A\u0430"))}</div>`;
+          box.innerHTML = `<div class="sa-mem-empty">${escapeHtml2(String(err || "\u043E\u0448\u0438\u0431\u043A\u0430"))}</div>`;
         }
       );
     }
     function exportSelectedPersona() {
-      const id = state.settingsPersonaId || $("sa_persona")?.value;
+      const id = state.settingsPersonaId || $2("sa_persona")?.value;
       if (!id || typeof genericRequest !== "function") {
         return;
       }
@@ -6516,7 +6603,7 @@ ${summary || "(\u043F\u0443\u0441\u0442\u043E)"}`;
       reader.readAsText(file);
     }
     function cloneSelectedPersona() {
-      const from = state.settingsPersonaId || $("sa_persona")?.value;
+      const from = state.settingsPersonaId || $2("sa_persona")?.value;
       if (!from) {
         return;
       }
@@ -6570,7 +6657,7 @@ ${summary || "(\u043F\u0443\u0441\u0442\u043E)"}`;
       if (typeof genericRequest !== "function") {
         return;
       }
-      const persona = $("sa_persona")?.value || "neutral";
+      const persona = $2("sa_persona")?.value || "neutral";
       genericRequest(
         "AssistentListUserPrefs",
         { persona, limit: 200 },
@@ -6583,11 +6670,11 @@ ${summary || "(\u043F\u0443\u0441\u0442\u043E)"}`;
       );
     }
     function renderUserPrefsLists() {
-      const persona = $("sa_persona")?.value || "neutral";
+      const persona = $2("sa_persona")?.value || "neutral";
       const global = (state.userPrefs || []).filter((p) => p.scope === "global");
       const personal = (state.userPrefs || []).filter((p) => p.scope === "persona" && (p.persona_id === persona || p.persona === persona));
       const fill = (rootId, rows) => {
-        const root = $(rootId);
+        const root = $2(rootId);
         if (!root) {
           return;
         }
@@ -6600,7 +6687,7 @@ ${summary || "(\u043F\u0443\u0441\u0442\u043E)"}`;
           const el = document.createElement("div");
           el.className = "sa-mem-row";
           const pin = row.pinned ? " \u2605" : "";
-          el.innerHTML = `<div class="sa-mem-row-body"><div class="sa-mem-row-head"><span class="sa-mem-row-key">${escapeHtml(row.key || "")}${pin}</span></div><div class="sa-mem-row-text">${escapeHtml(clipDebug(row.text, 200))}</div></div>`;
+          el.innerHTML = `<div class="sa-mem-row-body"><div class="sa-mem-row-head"><span class="sa-mem-row-key">${escapeHtml2(row.key || "")}${pin}</span></div><div class="sa-mem-row-text">${escapeHtml2(clipDebug(row.text, 200))}</div></div>`;
           el.querySelector(".sa-mem-row-body")?.addEventListener("click", () => editUserPref(row));
           el.querySelector(".sa-mem-row-body")?.setAttribute("title", "\u041A\u043B\u0438\u043A \u2014 \u0440\u0435\u0434\u0430\u043A\u0442\u0438\u0440\u043E\u0432\u0430\u0442\u044C");
           const pinBtn = document.createElement("button");
@@ -6640,7 +6727,7 @@ ${summary || "(\u043F\u0443\u0441\u0442\u043E)"}`;
           key: row.key,
           text: String(text).trim(),
           scope: row.scope || "global",
-          persona: row.persona_id || row.persona || $("sa_persona")?.value || "neutral",
+          persona: row.persona_id || row.persona || $2("sa_persona")?.value || "neutral",
           source: "user",
           pinned: !!row.pinned
         },
@@ -6656,7 +6743,7 @@ ${summary || "(\u043F\u0443\u0441\u0442\u043E)"}`;
           key: row.key,
           text: row.text,
           scope: row.scope || "global",
-          persona: row.persona_id || row.persona || $("sa_persona")?.value || "neutral",
+          persona: row.persona_id || row.persona || $2("sa_persona")?.value || "neutral",
           source: row.source || "user",
           pinned: !row.pinned
         },
@@ -6680,7 +6767,7 @@ ${summary || "(\u043F\u0443\u0441\u0442\u043E)"}`;
           key: key.trim(),
           text: text.trim(),
           scope,
-          persona: $("sa_persona")?.value || "neutral",
+          persona: $2("sa_persona")?.value || "neutral",
           source: "user",
           pinned: false
         },
@@ -6698,7 +6785,7 @@ ${summary || "(\u043F\u0443\u0441\u0442\u043E)"}`;
         {
           key: row.key,
           scope: row.scope || "global",
-          persona: row.persona_id || row.persona || $("sa_persona")?.value
+          persona: row.persona_id || row.persona || $2("sa_persona")?.value
         },
         () => refreshUserPrefs(),
         0,
@@ -6712,7 +6799,7 @@ ${summary || "(\u043F\u0443\u0441\u0442\u043E)"}`;
       }
       genericRequest(
         "AssistentClearUserPrefs",
-        { scope, persona: $("sa_persona")?.value || "neutral" },
+        { scope, persona: $2("sa_persona")?.value || "neutral" },
         (data) => {
           setStatus(`\u0423\u0434\u0430\u043B\u0435\u043D\u043E: ${data?.deleted ?? 0}`);
           refreshUserPrefs();
@@ -6756,7 +6843,7 @@ ${summary || "(\u043F\u0443\u0441\u0442\u043E)"}`;
             }
           }
           state.wantedKeys = keys;
-          const el = $("sa_mem_wanted");
+          const el = $2("sa_mem_wanted");
           if (el) {
             el.textContent = state.wanted.count ? `\u041E\u0447\u0435\u0440\u0435\u0434\u044C wanted: ${state.wanted.count} (\u0441\u043A\u0430\u0447\u0430\u0435\u0442\u0441\u044F \u043D\u0430 \u0441\u043B\u0435\u0434\u0443\u044E\u0449\u0435\u043C up)` : "\u041E\u0447\u0435\u0440\u0435\u0434\u044C wanted: \u043F\u0443\u0441\u0442\u043E";
             el.title = items.slice(0, 12).map((i) => `${i.kind}: ${i.title || i.url}`).join("\n");
@@ -6767,7 +6854,7 @@ ${summary || "(\u043F\u0443\u0441\u0442\u043E)"}`;
         },
         0,
         () => {
-          const el = $("sa_mem_wanted");
+          const el = $2("sa_mem_wanted");
           if (el) {
             el.textContent = "\u041E\u0447\u0435\u0440\u0435\u0434\u044C wanted: \u2014";
           }
@@ -6789,7 +6876,7 @@ ${summary || "(\u043F\u0443\u0441\u0442\u043E)"}`;
     }
     function setOllamaHealth(level, text, title) {
       state.ollamaHealth = level;
-      const el = $("sa_ollama_health");
+      const el = $2("sa_ollama_health");
       if (!el) {
         return;
       }
@@ -6804,7 +6891,7 @@ ${summary || "(\u043F\u0443\u0441\u0442\u043E)"}`;
       if (typeof genericRequest !== "function") {
         return;
       }
-      const baseUrl = $("sa_base_url")?.value || "http://127.0.0.1:11434";
+      const baseUrl = $2("sa_base_url")?.value || "http://127.0.0.1:11434";
       genericRequest(
         "AssistentListModels",
         { baseUrl },
@@ -6826,7 +6913,7 @@ ${summary || "(\u043F\u0443\u0441\u0442\u043E)"}`;
       );
     }
     function setCardStatus(msg) {
-      const el = $("sa_card_status");
+      const el = $2("sa_card_status");
       if (el) {
         el.textContent = msg || "";
       }
@@ -6836,12 +6923,15 @@ ${summary || "(\u043F\u0443\u0441\u0442\u043E)"}`;
         state.view = "cards";
       } else if (view === "settings") {
         state.view = "settings";
+      } else if (view === "train") {
+        state.view = "train";
       } else {
         state.view = "chat";
       }
-      const chat = $("sa_view_chat");
-      const cards = $("sa_view_cards");
-      const settings = $("sa_view_settings");
+      const chat = $2("sa_view_chat");
+      const cards = $2("sa_view_cards");
+      const settings = $2("sa_view_settings");
+      const train = $2("sa_view_train");
       if (chat) {
         chat.hidden = state.view !== "chat";
       }
@@ -6851,18 +6941,25 @@ ${summary || "(\u043F\u0443\u0441\u0442\u043E)"}`;
       if (settings) {
         settings.hidden = state.view !== "settings";
       }
-      $("sa_tab_chat")?.classList.toggle("sa-subtab-active", state.view === "chat");
-      $("sa_tab_cards")?.classList.toggle("sa-subtab-active", state.view === "cards");
-      $("sa_tab_settings")?.classList.toggle("sa-subtab-active", state.view === "settings");
-      $("sa_btn_settings")?.classList.toggle("sa-subtab-active", state.view === "settings");
-      $("sa_tab_chat")?.setAttribute("aria-selected", state.view === "chat" ? "true" : "false");
-      $("sa_tab_cards")?.setAttribute("aria-selected", state.view === "cards" ? "true" : "false");
-      $("sa_tab_settings")?.setAttribute("aria-selected", state.view === "settings" ? "true" : "false");
+      if (train) {
+        train.hidden = state.view !== "train";
+      }
+      const tabActive = (id, on) => {
+        $2(id)?.classList.toggle("sa-subtab-active", on);
+        $2(id)?.classList.toggle("sa-app-tab-active", on);
+        $2(id)?.setAttribute("aria-selected", on ? "true" : "false");
+      };
+      tabActive("sa_tab_chat", state.view === "chat");
+      tabActive("sa_tab_cards", state.view === "cards");
+      tabActive("sa_tab_settings", state.view === "settings");
+      tabActive("sa_tab_train", state.view === "train");
       saveSettings();
       if (state.view === "cards") {
         renderCardsList();
       } else if (state.view === "settings") {
         setSettingsTab(state.settingsTab || "behavior");
+      } else if (state.view === "train") {
+        window.SA?.training?.render?.();
       } else if ((state.llmParked || state.expectColdLoad) && !state.generating) {
         warmLlm({ force: true });
       }
@@ -6945,7 +7042,7 @@ ${summary || "(\u043F\u0443\u0441\u0442\u043E)"}`;
       await Promise.all(keys.map((k) => prefetchCard(k.kind, k.name)));
     }
     function cardsCatalog() {
-      const kind = $("sa_cards_kind")?.value || "all";
+      const kind = $2("sa_cards_kind")?.value || "all";
       const inv = state.inventory || {};
       const rows = [];
       if (kind === "all" || kind === "checkpoint") {
@@ -6978,7 +7075,7 @@ ${summary || "(\u043F\u0443\u0441\u0442\u043E)"}`;
       return rows;
     }
     function renderCardsList() {
-      const root = $("sa_cards_list");
+      const root = $2("sa_cards_list");
       if (!root) {
         return;
       }
@@ -6995,7 +7092,7 @@ ${summary || "(\u043F\u0443\u0441\u0442\u043E)"}`;
         if (state.cardsSelection && state.cardsSelection.kind === row.kind && state.cardsSelection.name === row.name) {
           btn.classList.add("sa-selected");
         }
-        const thumb = row.preview_url ? `<img class="sa-card-row-thumb" src="${escapeHtml(row.preview_url)}" alt="" />` : '<div class="sa-card-row-thumb"></div>';
+        const thumb = row.preview_url ? `<img class="sa-card-row-thumb" src="${escapeHtml2(row.preview_url)}" alt="" />` : '<div class="sa-card-row-thumb"></div>';
         const metaBits = [];
         metaBits.push(row.has_card ? "card \u2713" : "\u043D\u0435\u0442 card");
         if (row.has_sidecar) {
@@ -7008,7 +7105,7 @@ ${summary || "(\u043F\u0443\u0441\u0442\u043E)"}`;
         if (row.trigger) {
           metaBits.push(String(row.trigger).slice(0, 40));
         }
-        btn.innerHTML = `${thumb}<div class="sa-card-row-body"><div class="sa-card-row-kind">${escapeHtml(row.kind)}</div><div class="sa-card-row-name">${escapeHtml(row.title || row.name)}</div><div class="sa-card-row-meta">${escapeHtml(metaBits.join(" \xB7 "))}</div></div><button type="button" class="basic-button sa-card-row-chat" data-chat="1" title="\u0412 \u0447\u0430\u0442">\u2197</button>`;
+        btn.innerHTML = `${thumb}<div class="sa-card-row-body"><div class="sa-card-row-kind">${escapeHtml2(row.kind)}</div><div class="sa-card-row-name">${escapeHtml2(row.title || row.name)}</div><div class="sa-card-row-meta">${escapeHtml2(metaBits.join(" \xB7 "))}</div></div><button type="button" class="basic-button sa-card-row-chat" data-chat="1" title="\u0412 \u0447\u0430\u0442">\u2197</button>`;
         btn.addEventListener("click", (e) => {
           if (e.target?.closest?.("[data-chat]")) {
             e.preventDefault();
@@ -7029,22 +7126,22 @@ ${summary || "(\u043F\u0443\u0441\u0442\u043E)"}`;
       setView("chat");
       const kind = row.kind === "checkpoint" ? "checkpoint" : "LoRA";
       const triggers = row.trigger ? ` Triggers: ${row.trigger}.` : "";
-      if ($("sa_input")) {
-        $("sa_input").value = `\u0418\u0441\u043F\u043E\u043B\u044C\u0437\u0443\u0439 ${kind} \xAB${row.name}\xBB.${triggers} \u0423\u0447\u0442\u0438 \u043A\u0430\u0440\u0442\u043E\u0447\u043A\u0443/triggers \u0438 \u043F\u0440\u0435\u0434\u043B\u043E\u0436\u0438 \u043F\u0430\u0442\u0447.`;
-        $("sa_input").focus();
+      if ($2("sa_input")) {
+        $2("sa_input").value = `\u0418\u0441\u043F\u043E\u043B\u044C\u0437\u0443\u0439 ${kind} \xAB${row.name}\xBB.${triggers} \u0423\u0447\u0442\u0438 \u043A\u0430\u0440\u0442\u043E\u0447\u043A\u0443/triggers \u0438 \u043F\u0440\u0435\u0434\u043B\u043E\u0436\u0438 \u043F\u0430\u0442\u0447.`;
+        $2("sa_input").focus();
       }
       setStatus(`\u0412 \u0447\u0430\u0442 \u2192 ${row.name}`);
     }
     function wireCardForm() {
       const sync = () => {
-        if ($("sa_card_show_json")?.checked) {
+        if ($2("sa_card_show_json")?.checked) {
           syncCardJsonFromForm();
         }
       };
-      ["sa_card_triggers", "sa_card_weight", "sa_card_when", "sa_card_avoid", "sa_card_hint", "sa_card_notes", "sa_card_url"].forEach((id) => $(id)?.addEventListener("change", sync));
-      $("sa_card_show_json")?.addEventListener("change", () => {
-        const on = !!$("sa_card_show_json")?.checked;
-        const ta = $("sa_card_json");
+      ["sa_card_triggers", "sa_card_weight", "sa_card_when", "sa_card_avoid", "sa_card_hint", "sa_card_notes", "sa_card_url"].forEach((id) => $2(id)?.addEventListener("change", sync));
+      $2("sa_card_show_json")?.addEventListener("change", () => {
+        const on = !!$2("sa_card_show_json")?.checked;
+        const ta = $2("sa_card_json");
         if (ta) {
           ta.hidden = !on;
           if (on) {
@@ -7052,8 +7149,8 @@ ${summary || "(\u043F\u0443\u0441\u0442\u043E)"}`;
           }
         }
       });
-      $("sa_card_json")?.addEventListener("change", () => {
-        if ($("sa_card_show_json")?.checked) {
+      $2("sa_card_json")?.addEventListener("change", () => {
+        if ($2("sa_card_show_json")?.checked) {
           applyCardToForm(readCardDraft() || {});
         }
       });
@@ -7061,60 +7158,60 @@ ${summary || "(\u043F\u0443\u0441\u0442\u043E)"}`;
     function applyCardToForm(card) {
       card = card || {};
       const triggers = Array.isArray(card.triggers) ? card.triggers.join(", ") : card.triggers || "";
-      if ($("sa_card_triggers")) {
-        $("sa_card_triggers").value = triggers;
+      if ($2("sa_card_triggers")) {
+        $2("sa_card_triggers").value = triggers;
       }
-      if ($("sa_card_weight")) {
-        $("sa_card_weight").value = card.weight != null ? card.weight : state.cardsSelection?.kind === "lora" ? 0.8 : 1;
+      if ($2("sa_card_weight")) {
+        $2("sa_card_weight").value = card.weight != null ? card.weight : state.cardsSelection?.kind === "lora" ? 0.8 : 1;
       }
-      if ($("sa_card_when")) {
-        $("sa_card_when").value = card.when || "";
+      if ($2("sa_card_when")) {
+        $2("sa_card_when").value = card.when || "";
       }
-      if ($("sa_card_avoid")) {
-        $("sa_card_avoid").value = card.avoid || "";
+      if ($2("sa_card_avoid")) {
+        $2("sa_card_avoid").value = card.avoid || "";
       }
-      if ($("sa_card_hint")) {
-        $("sa_card_hint").value = card.prompt_hint || "";
+      if ($2("sa_card_hint")) {
+        $2("sa_card_hint").value = card.prompt_hint || "";
       }
-      if ($("sa_card_notes")) {
-        $("sa_card_notes").value = card.notes || "";
+      if ($2("sa_card_notes")) {
+        $2("sa_card_notes").value = card.notes || "";
       }
-      if ($("sa_card_url")) {
-        $("sa_card_url").value = card.civitai_url || "";
+      if ($2("sa_card_url")) {
+        $2("sa_card_url").value = card.civitai_url || "";
       }
-      if ($("sa_card_json")) {
-        $("sa_card_json").value = JSON.stringify(card, null, 2);
+      if ($2("sa_card_json")) {
+        $2("sa_card_json").value = JSON.stringify(card, null, 2);
       }
     }
     function syncCardJsonFromForm() {
       const sel = state.cardsSelection || {};
       let base = {};
       try {
-        base = JSON.parse($("sa_card_json")?.value || "{}");
+        base = JSON.parse($2("sa_card_json")?.value || "{}");
       } catch (e) {
         base = {};
       }
-      const triggers = String($("sa_card_triggers")?.value || "").split(/[,;]/).map((s) => s.trim()).filter(Boolean);
+      const triggers = String($2("sa_card_triggers")?.value || "").split(/[,;]/).map((s) => s.trim()).filter(Boolean);
       const card = {
         ...base,
         kind: sel.kind || base.kind || "lora",
         name: sel.name || base.name || "",
         triggers,
-        weight: parseFloat($("sa_card_weight")?.value || "0.8") || 0.8,
-        when: $("sa_card_when")?.value || "",
-        avoid: $("sa_card_avoid")?.value || "",
-        prompt_hint: $("sa_card_hint")?.value || "",
-        notes: $("sa_card_notes")?.value || "",
-        civitai_url: $("sa_card_url")?.value || "",
+        weight: parseFloat($2("sa_card_weight")?.value || "0.8") || 0.8,
+        when: $2("sa_card_when")?.value || "",
+        avoid: $2("sa_card_avoid")?.value || "",
+        prompt_hint: $2("sa_card_hint")?.value || "",
+        notes: $2("sa_card_notes")?.value || "",
+        civitai_url: $2("sa_card_url")?.value || "",
         version_id: base.version_id != null ? base.version_id : null
       };
-      if ($("sa_card_json")) {
-        $("sa_card_json").value = JSON.stringify(card, null, 2);
+      if ($2("sa_card_json")) {
+        $2("sa_card_json").value = JSON.stringify(card, null, 2);
       }
       return card;
     }
     function renderCardPreviews(urls) {
-      const root = $("sa_card_previews");
+      const root = $2("sa_card_previews");
       if (!root) {
         return;
       }
@@ -7232,7 +7329,7 @@ ${summary || "(\u043F\u0443\u0441\u0442\u043E)"}`;
         ...data.example_urls || []
       ];
       renderCardPreviews(urls);
-      const badge = $("sa_card_badge");
+      const badge = $2("sa_card_badge");
       if (badge) {
         badge.hidden = false;
         badge.textContent = data.has_card ? "card \u2713" : data.has_sidecar || data.fetched ? "meta \u2713" : "\u043D\u0435\u0442 \u043C\u0435\u0442\u044B";
@@ -7242,10 +7339,10 @@ ${summary || "(\u043F\u0443\u0441\u0442\u043E)"}`;
     function selectCardModel(row) {
       state.cardsSelection = row;
       renderCardsList();
-      if ($("sa_card_title")) {
-        $("sa_card_title").textContent = row.title || row.name;
+      if ($2("sa_card_title")) {
+        $2("sa_card_title").textContent = row.title || row.name;
       }
-      const badge = $("sa_card_badge");
+      const badge = $2("sa_card_badge");
       if (badge) {
         badge.hidden = false;
         badge.textContent = "\u2026";
@@ -7282,8 +7379,8 @@ ${summary || "(\u043F\u0443\u0441\u0442\u043E)"}`;
     }
     function readCardDraft() {
       const fromForm = syncCardJsonFromForm();
-      if ($("sa_card_show_json")?.checked) {
-        const raw = $("sa_card_json")?.value || "";
+      if ($2("sa_card_show_json")?.checked) {
+        const raw = $2("sa_card_json")?.value || "";
         try {
           return JSON.parse(raw);
         } catch (e) {
@@ -7355,7 +7452,7 @@ ${summary || "(\u043F\u0443\u0441\u0442\u043E)"}`;
       return base.replace(/\.safetensors$/i, "").slice(0, 28);
     }
     function renderLoraChips() {
-      const root = $("sa_lora_chips");
+      const root = $2("sa_lora_chips");
       if (!root) {
         return;
       }
@@ -7458,7 +7555,7 @@ ${summary || "(\u043F\u0443\u0441\u0442\u043E)"}`;
       };
       filter.addEventListener("input", draw);
       draw();
-      const composer = $("sa_composer") || document.body;
+      const composer = $2("sa_composer") || document.body;
       composer.style.position = composer.style.position || "relative";
       composer.appendChild(picker);
       const onDoc = (ev) => {
@@ -7542,8 +7639,8 @@ ${summary || "(\u043F\u0443\u0441\u0442\u043E)"}`;
       if (fromCards) {
         const card = extractCardJson(reply);
         if (card) {
-          if ($("sa_card_json")) {
-            $("sa_card_json").value = JSON.stringify(card, null, 2);
+          if ($2("sa_card_json")) {
+            $2("sa_card_json").value = JSON.stringify(card, null, 2);
           }
           if (opts.fromDownload || opts.cardTarget) {
             const kind = card.kind || opts.cardTarget?.kind || "lora";
@@ -7614,7 +7711,7 @@ ${summary || "(\u043F\u0443\u0441\u0442\u043E)"}`;
       if (Array.isArray(effective?.actions) && effective.actions.map(String).includes("interrupt")) {
         doInterruptNow();
       }
-      if (civitaiResults && civitaiResults.length && $("sa_auto_download")?.checked) {
+      if (civitaiResults && civitaiResults.length && $2("sa_auto_download")?.checked) {
         const pick = civitaiResults.find((r) => !r.already_installed && r.download_url && r.krea_likely) || civitaiResults.find((r) => !r.already_installed && r.download_url);
         if (pick) {
           downloadCivitaiLoRA(pick, null);
@@ -7657,7 +7754,7 @@ ${summary || "(\u043F\u0443\u0441\u0442\u043E)"}`;
         });
         return;
       }
-      const doApply = !!(effective && (intent.generate || $("sa_auto_apply")?.checked));
+      const doApply = !!(effective && (intent.generate || $2("sa_auto_apply")?.checked));
       if (doApply) {
         if (intent.generate) {
           startBusyUi("silent_gen");
@@ -7696,13 +7793,13 @@ ${summary || "(\u043F\u0443\u0441\u0442\u043E)"}`;
       await applyPatch(withActions, "all");
       state.lastUserParamIntent = prevIntent;
       setStatus(note || "Applied");
-      if ($("sa_auto_generate")?.checked) {
+      if ($2("sa_auto_generate")?.checked) {
         await runGenerateFromPatch(withActions);
       }
       syncChipHighlight();
     }
     function syncChipHighlight() {
-      const bar = $("sa_chips");
+      const bar = $2("sa_chips");
       if (!bar) {
         return;
       }
@@ -7718,7 +7815,7 @@ ${summary || "(\u043F\u0443\u0441\u0442\u043E)"}`;
       });
     }
     function appendSystemNote(text) {
-      const box = $("sa_messages");
+      const box = $2("sa_messages");
       if (!box) {
         return;
       }
@@ -7747,10 +7844,10 @@ ${summary || "(\u043F\u0443\u0441\u0442\u043E)"}`;
       }).join(", ");
     }
     function buildDebugSummary() {
-      const persona = $("sa_persona")?.value || "neutral";
-      const pack = $("sa_pack")?.value || defaultPackId();
-      const chatModel = $("sa_model")?.value || "\u2014";
-      const embed = $("sa_embed_model")?.value || state.preferredEmbed || "\u2014";
+      const persona = $2("sa_persona")?.value || "neutral";
+      const pack = $2("sa_pack")?.value || defaultPackId();
+      const chatModel = $2("sa_model")?.value || "\u2014";
+      const embed = $2("sa_embed_model")?.value || state.preferredEmbed || "\u2014";
       const profile = detectKreaProfileName();
       const defaults = mergedGenerationDefaults(profile);
       const session = state.sessionExact || {};
@@ -7785,7 +7882,7 @@ ${summary || "(\u043F\u0443\u0441\u0442\u043E)"}`;
         `persona=${persona} \xB7 pack=${pack}`,
         `chat=${chatModel} \xB7 embed=${embed}`,
         `skills=${(state.enabledSkills || []).join(",") || "\u2014"}`,
-        `auto: apply=${!!$("sa_auto_apply")?.checked} gen=${!!$("sa_auto_generate")?.checked} vision=${!!$("sa_auto_vision")?.checked} critique=${!!$("sa_auto_critique")?.checked}`,
+        `auto: apply=${!!$2("sa_auto_apply")?.checked} gen=${!!$2("sa_auto_generate")?.checked} vision=${!!$2("sa_auto_vision")?.checked} critique=${!!$2("sa_auto_critique")?.checked}`,
         "",
         "Live SwarmUI:",
         `  ckpt=${ctx.checkpoint?.name || "\u2014"} \xB7 krea_profile=${ctx.krea_profile || profile}`,
@@ -7909,8 +8006,8 @@ ${summary || "(\u043F\u0443\u0441\u0442\u043E)"}`;
         }
         slot.attach = true;
         renderBoard();
-        if ($("sa_input")) {
-          $("sa_input").value = `Look at ${id} and describe what you see.`;
+        if ($2("sa_input")) {
+          $2("sa_input").value = `Look at ${id} and describe what you see.`;
         }
         setPackValue("critique_image", { flash: true });
         await sendChat({ forceSlotIds: [id], skipAutoPack: true });
@@ -7982,7 +8079,7 @@ ${summary || "(\u043F\u0443\u0441\u0442\u043E)"}`;
         if (!setPackValue(arg, { flash: true, user: true })) {
           setStatus("Pack: write|ordinary|critique|compose|params|inpaint|describe|card|persona");
         } else {
-          setStatus(`Pack \u2192 ${$("sa_pack")?.value}`);
+          setStatus(`Pack \u2192 ${$2("sa_pack")?.value}`);
         }
         return true;
       }
@@ -7999,8 +8096,8 @@ ${summary || "(\u043F\u0443\u0441\u0442\u043E)"}`;
           setStatus("/civitai <query>");
           return true;
         }
-        if ($("sa_input")) {
-          $("sa_input").value = `Find a Krea 2 LoRA for: ${arg}`;
+        if ($2("sa_input")) {
+          $2("sa_input").value = `Find a Krea 2 LoRA for: ${arg}`;
         }
         setPackValue(defaultPackId(), { flash: true });
         await sendChat({
@@ -8020,7 +8117,7 @@ ${summary || "(\u043F\u0443\u0441\u0442\u043E)"}`;
           });
           return true;
         }
-        const fromId = sub === "clone" && rest ? rest.split(/\s+/)[0] : $("sa_persona")?.value || "neutral";
+        const fromId = sub === "clone" && rest ? rest.split(/\s+/)[0] : $2("sa_persona")?.value || "neutral";
         await sendChat({
           skipAutoPack: true,
           forcedUserText: `\u041D\u0430\u0447\u043D\u0438 \u0438\u043D\u0442\u0435\u0440\u0432\u044C\u044E author_persona: \u043A\u043B\u043E\u043D \u0441 \u0438\u0441\u0442\u043E\u0447\u043D\u0438\u043A\u0430 \xAB${fromId}\xBB. \u0421\u043F\u0440\u0430\u0448\u0438\u0432\u0430\u0439 \u043F\u043E \u043F\u043E\u043B\u043A\u0430\u043C \u0433\u0440\u0443\u043F\u043F\u0430\u043C\u0438. \u041D\u0435 \u043F\u0438\u0448\u0438 \u043D\u0430 \u0434\u0438\u0441\u043A, \u043F\u043E\u043A\u0430 \u043C\u0430\u043B\u043E \u043E\u0442\u0432\u0435\u0442\u043E\u0432. \u041D\u0435 \u0443\u0434\u0430\u043B\u044F\u0439 \u043B\u0438\u0447\u043D\u043E\u0441\u0442\u0438.`
@@ -8066,8 +8163,8 @@ ${HELP_TEXT}`);
         s.attach = true;
       }
       renderBoard();
-      if ($("sa_input")) {
-        $("sa_input").value = `Look at board slots: ${need.map((s) => s.id).join(", ")}. Continue using these images.`;
+      if ($2("sa_input")) {
+        $2("sa_input").value = `Look at board slots: ${need.map((s) => s.id).join(", ")}. Continue using these images.`;
       }
       setStatus(`Vision hop \u2190 ${need.map((s) => s.label).join(", ")}`);
       await sendChat({ fromVisionHop: true, forceSlotIds: need.map((s) => s.id) });
@@ -8077,7 +8174,11 @@ ${HELP_TEXT}`);
       if ((state.busy || state.generating) && !isContinuationTurn(opts)) {
         return;
       }
-      const rawInput = ($("sa_input")?.value || "").trim();
+      if (isTrainingLocked() && !isContinuationTurn(opts)) {
+        setStatus("\u0418\u0434\u0451\u0442 \u0442\u0440\u0435\u043D\u0438\u0440\u043E\u0432\u043A\u0430 \u2014 \u0447\u0430\u0442 \u0437\u0430\u0431\u043B\u043E\u043A\u0438\u0440\u043E\u0432\u0430\u043D");
+        return;
+      }
+      const rawInput = ($2("sa_input")?.value || "").trim();
       const text = (opts.forcedUserText || rawInput).trim();
       if (!text) {
         return;
@@ -8089,8 +8190,8 @@ ${HELP_TEXT}`);
       }
       if (!isMachineTurn(opts) && !opts.skipSlash) {
         if (rawInput.startsWith("/")) {
-          if ($("sa_input")) {
-            $("sa_input").value = "";
+          if ($2("sa_input")) {
+            $2("sa_input").value = "";
           }
           const handled = await handleSlashCommand(rawInput);
           if (handled) {
@@ -8101,8 +8202,8 @@ ${HELP_TEXT}`);
       if (!isMachineTurn(opts) && isSameButAspectRequest(text)) {
         const aspect = parseAspectFromUserText(text);
         if (aspect) {
-          if ($("sa_input")) {
-            $("sa_input").value = "";
+          if ($2("sa_input")) {
+            $2("sa_input").value = "";
           }
           appendMessage("user", text);
           state.history.push({ role: "user", content: text });
@@ -8133,9 +8234,9 @@ ${HELP_TEXT}`);
       if (!opts.fromDebug && (opts.fromCards || state.view === "cards")) {
         setPackValue("catalog_card", { flash: false });
       }
-      const pack = opts.fromDebug ? "debug_explain" : $("sa_pack")?.value || defaultPackId();
-      const persona = $("sa_persona")?.value || localStorage.getItem(LS_PERSONA) || "neutral";
-      const model = $("sa_model")?.value;
+      const pack = opts.fromDebug ? "debug_explain" : $2("sa_pack")?.value || defaultPackId();
+      const persona = $2("sa_persona")?.value || localStorage.getItem(LS_PERSONA) || "neutral";
+      const model = $2("sa_model")?.value;
       if (!model) {
         setStatus("\u0412\u044B\u0431\u0435\u0440\u0438 \u043C\u043E\u0434\u0435\u043B\u044C Ollama \u0432 \u2699");
         refreshModels();
@@ -8211,8 +8312,8 @@ ${HELP_TEXT}`);
           state.pendingPersonaNote = null;
         }
         appendMessage("user", opts.historyUserText || text);
-        if ($("sa_input")) {
-          $("sa_input").value = "";
+        if ($2("sa_input")) {
+          $2("sa_input").value = "";
         }
         persistHistory();
       } else {
@@ -8255,7 +8356,7 @@ ${HELP_TEXT}`);
         messages[messages.length - 1].images = images;
       }
       startBusyUi("thinking");
-      const baseUrl = $("sa_base_url")?.value || "http://127.0.0.1:11434";
+      const baseUrl = $2("sa_base_url")?.value || "http://127.0.0.1:11434";
       const payload = {
         baseUrl,
         model,
@@ -8265,7 +8366,7 @@ ${HELP_TEXT}`);
         messages,
         context_json: JSON.stringify(context),
         skills: opts.fromDebug ? [] : state.enabledSkills || [],
-        embed_model: $("sa_embed_model")?.value || state.preferredEmbed || ""
+        embed_model: $2("sa_embed_model")?.value || state.preferredEmbed || ""
       };
       const finishOk = async (reply, civitaiResults, meta = {}) => {
         if (chatEpoch !== state.chatEpoch) {
@@ -8418,8 +8519,8 @@ ${HELP_TEXT}`);
       );
     }
     function wireDropZone() {
-      const board = $("sa_board");
-      const layout = $("sa_layout");
+      const board = $2("sa_board");
+      const layout = $2("sa_layout");
       layout?.addEventListener("dragover", (e) => {
         if (e.dataTransfer?.types?.includes("Files") || e.dataTransfer?.types?.includes("text/uri-list")) {
           e.preventDefault();
@@ -8500,9 +8601,9 @@ ${HELP_TEXT}`);
       });
     }
     function wireSplitter() {
-      const splitter = $("sa_splitter");
-      const layout = $("sa_layout");
-      const pane = $("sa_image_pane");
+      const splitter = $2("sa_splitter");
+      const layout = $2("sa_layout");
+      const pane = $2("sa_image_pane");
       if (!splitter || !layout || !pane) {
         return;
       }
@@ -8553,7 +8654,7 @@ ${HELP_TEXT}`);
             note: "Image sent to Assistent",
             preferSelected: false
           });
-          const pack = $("sa_pack");
+          const pack = $2("sa_pack");
           if (pack && (pack.value === "ordinary" || pack.value === "write_prompt")) {
             pack.value = "critique_image";
             saveSettings();
@@ -8587,7 +8688,7 @@ ${HELP_TEXT}`);
       refreshWantedQueue();
     }
     function wire() {
-      if (!$("swarm_assistent_root")) {
+      if (!$2("swarm_assistent_root")) {
         return;
       }
       if (typeof genericRequest !== "function") {
@@ -8608,28 +8709,30 @@ ${HELP_TEXT}`);
         refreshImagePreview();
       }
       bootstrapPersisted();
+      setChatsPanelOpen(!!state.chatsDrawerOpen);
       wireDropZone();
       wireSplitter();
       registerSendButton();
       wireSlashInput();
       wireCardForm();
-      $("sa_btn_new_chat")?.addEventListener("click", () => startNewChat({ saveCurrent: true }));
-      $("sa_btn_chats")?.addEventListener("click", (e) => {
+      $2("sa_btn_new_chat")?.addEventListener("click", () => startNewChat({ saveCurrent: true }));
+      $2("sa_btn_chats")?.addEventListener("click", (e) => {
         e.stopPropagation();
         setChatsPanelOpen(!state.chatsPanelOpen);
       });
-      $("sa_session_label")?.addEventListener("click", (e) => {
+      $2("sa_btn_chats_close")?.addEventListener("click", () => setChatsPanelOpen(false));
+      $2("sa_session_label")?.addEventListener("click", (e) => {
         e.stopPropagation();
         setChatsPanelOpen(!state.chatsPanelOpen);
       });
-      $("sa_session_label")?.addEventListener("keydown", (e) => {
+      $2("sa_session_label")?.addEventListener("keydown", (e) => {
         if (e.key === "Enter" || e.key === " ") {
           e.preventDefault();
           setChatsPanelOpen(!state.chatsPanelOpen);
         }
       });
-      $("sa_chats_panel")?.addEventListener("click", (e) => e.stopPropagation());
-      $("sa_chats_list")?.addEventListener("click", (e) => {
+      $2("sa_chats_panel")?.addEventListener("click", (e) => e.stopPropagation());
+      $2("sa_chats_list")?.addEventListener("click", (e) => {
         const row = e.target.closest(".sa-chat-row");
         if (!row) {
           return;
@@ -8647,8 +8750,8 @@ ${HELP_TEXT}`);
         }
       });
       let chatsSearchTimer = null;
-      $("sa_chats_search")?.addEventListener("input", () => {
-        const q = ($("sa_chats_search")?.value || "").trim();
+      $2("sa_chats_search")?.addEventListener("input", () => {
+        const q = ($2("sa_chats_search")?.value || "").trim();
         state.chatsQuery = q;
         if (!q) {
           state.chatsSearchHits = null;
@@ -8669,90 +8772,83 @@ ${HELP_TEXT}`);
           }
         }, 220);
       });
-      $("sa_tab_chat")?.addEventListener("click", () => setView("chat"));
-      $("sa_tab_cards")?.addEventListener("click", () => setView("cards"));
-      $("sa_tab_settings")?.addEventListener("click", () => openSettings(state.settingsTab || "behavior"));
-      $("sa_board_tab_gen")?.addEventListener("click", () => setBoardTab("generate"));
-      $("sa_board_tab_refs")?.addEventListener("click", () => setBoardTab("refs"));
-      $("sa_persona")?.addEventListener("change", onPersonaChanged);
-      $("sa_persona_delete")?.addEventListener("click", () => deleteCurrentOverlayPersona());
-      $("sa_cards_kind")?.addEventListener("change", renderCardsList);
-      $("sa_btn_cards_refresh")?.addEventListener("click", () => refreshInventory(() => renderCardsList(), { rescan: true }));
-      $("sa_btn_card_meta")?.addEventListener("click", () => fetchCardMetaLive());
-      $("sa_btn_card_generate")?.addEventListener("click", () => generateCardWithAssistent());
-      $("sa_btn_card_save")?.addEventListener("click", () => saveCurrentCard());
-      $("sa_btn_card_wanted")?.addEventListener("click", () => enqueueWantedOnly());
-      $("sa_btn_settings")?.addEventListener("click", () => {
-        if (state.view === "settings") {
-          closeSettings();
-        } else {
-          openSettings(state.settingsTab || "behavior");
-        }
-      });
-      $("sa_settings_close")?.addEventListener("click", () => closeSettings());
+      $2("sa_tab_chat")?.addEventListener("click", () => setView("chat"));
+      $2("sa_tab_cards")?.addEventListener("click", () => setView("cards"));
+      $2("sa_tab_train")?.addEventListener("click", () => setView("train"));
+      $2("sa_tab_settings")?.addEventListener("click", () => openSettings(state.settingsTab || "behavior"));
+      $2("sa_board_tab_gen")?.addEventListener("click", () => setBoardTab("generate"));
+      $2("sa_board_tab_refs")?.addEventListener("click", () => setBoardTab("refs"));
+      $2("sa_persona")?.addEventListener("change", onPersonaChanged);
+      $2("sa_persona_delete")?.addEventListener("click", () => deleteCurrentOverlayPersona());
+      $2("sa_cards_kind")?.addEventListener("change", renderCardsList);
+      $2("sa_btn_cards_refresh")?.addEventListener("click", () => refreshInventory(() => renderCardsList(), { rescan: true }));
+      $2("sa_btn_card_meta")?.addEventListener("click", () => fetchCardMetaLive());
+      $2("sa_btn_card_generate")?.addEventListener("click", () => generateCardWithAssistent());
+      $2("sa_btn_card_save")?.addEventListener("click", () => saveCurrentCard());
+      $2("sa_btn_card_wanted")?.addEventListener("click", () => enqueueWantedOnly());
       document.querySelectorAll("#sa_settings .sa-stab").forEach((btn) => {
         btn.addEventListener("click", () => setSettingsTab(btn.getAttribute("data-stab")));
       });
-      $("sa_btn_mem_refresh")?.addEventListener("click", () => {
+      $2("sa_btn_mem_refresh")?.addEventListener("click", () => {
         refreshMemoryList();
         refreshWantedQueue();
       });
-      $("sa_mem_kind")?.addEventListener("change", renderMemoryList);
-      $("sa_mem_scope")?.addEventListener("change", renderMemoryList);
-      $("sa_mem_search")?.addEventListener("input", () => renderMemoryList());
-      $("sa_btn_mem_clear_kind")?.addEventListener("click", () => {
+      $2("sa_mem_kind")?.addEventListener("change", renderMemoryList);
+      $2("sa_mem_scope")?.addEventListener("change", renderMemoryList);
+      $2("sa_mem_search")?.addEventListener("input", () => renderMemoryList());
+      $2("sa_btn_mem_clear_kind")?.addEventListener("click", () => {
         const kind = memoryKindFilter();
         clearCraftMemory({ kind: kind === "all" ? "" : kind, label: kind === "all" ? "\u0432\u0435\u0441\u044C \u043A\u0440\u0430\u0444\u0442 (\u0444\u0438\u043B\u044C\u0442\u0440 \u0442\u0438\u043F\u0430)" : `\u0442\u0438\u043F ${kind}` });
       });
-      $("sa_btn_mem_clear_persona")?.addEventListener("click", () => {
-        clearCraftMemory({ scope: "personal", persona: $("sa_persona")?.value || "neutral", label: "\u043A\u0440\u0430\u0444\u0442 \u044D\u0442\u043E\u0439 \u043B\u0438\u0447\u043D\u043E\u0441\u0442\u0438" });
+      $2("sa_btn_mem_clear_persona")?.addEventListener("click", () => {
+        clearCraftMemory({ scope: "personal", persona: $2("sa_persona")?.value || "neutral", label: "\u043A\u0440\u0430\u0444\u0442 \u044D\u0442\u043E\u0439 \u043B\u0438\u0447\u043D\u043E\u0441\u0442\u0438" });
       });
-      $("sa_btn_mem_clear_shared")?.addEventListener("click", () => {
+      $2("sa_btn_mem_clear_shared")?.addEventListener("click", () => {
         clearCraftMemory({ scope: "shared", label: "\u043E\u0431\u0449\u0443\u044E \u043A\u0440\u0430\u0444\u0442-\u043F\u0430\u043C\u044F\u0442\u044C" });
       });
-      $("sa_btn_mem_clear_all")?.addEventListener("click", () => {
+      $2("sa_btn_mem_clear_all")?.addEventListener("click", () => {
         clearCraftMemory({ label: "\u0432\u0435\u0441\u044C \u043A\u0440\u0430\u0444\u0442 (non-bundled)" });
       });
-      $("sa_btn_prefs_refresh")?.addEventListener("click", () => refreshUserPrefs());
-      $("sa_btn_pref_add_global")?.addEventListener("click", () => addUserPref("global"));
-      $("sa_btn_pref_add_persona")?.addEventListener("click", () => addUserPref("persona"));
-      $("sa_btn_prefs_clear_global")?.addEventListener("click", () => clearUserPrefs("global"));
-      $("sa_btn_prefs_clear_persona")?.addEventListener("click", () => clearUserPrefs("persona"));
-      $("sa_btn_prefs_clear_all")?.addEventListener("click", () => clearUserPrefs("all"));
-      $("sa_user_prefs_weight")?.addEventListener("input", () => {
-        const lab = $("sa_user_prefs_weight_val");
+      $2("sa_btn_prefs_refresh")?.addEventListener("click", () => refreshUserPrefs());
+      $2("sa_btn_pref_add_global")?.addEventListener("click", () => addUserPref("global"));
+      $2("sa_btn_pref_add_persona")?.addEventListener("click", () => addUserPref("persona"));
+      $2("sa_btn_prefs_clear_global")?.addEventListener("click", () => clearUserPrefs("global"));
+      $2("sa_btn_prefs_clear_persona")?.addEventListener("click", () => clearUserPrefs("persona"));
+      $2("sa_btn_prefs_clear_all")?.addEventListener("click", () => clearUserPrefs("all"));
+      $2("sa_user_prefs_weight")?.addEventListener("input", () => {
+        const lab = $2("sa_user_prefs_weight_val");
         if (lab) {
-          lab.textContent = Number($("sa_user_prefs_weight").value).toFixed(1);
+          lab.textContent = Number($2("sa_user_prefs_weight").value).toFixed(1);
         }
       });
-      $("sa_user_prefs_weight")?.addEventListener("change", () => saveKnobs());
-      $("sa_memory_top_k")?.addEventListener("change", () => saveKnobs());
-      $("sa_btn_knobs_save")?.addEventListener("click", () => saveKnobs());
-      $("sa_btn_reset_ui")?.addEventListener("click", () => resetUiState());
-      $("sa_btn_persona_export")?.addEventListener("click", () => exportSelectedPersona());
-      $("sa_btn_persona_import")?.addEventListener("click", () => $("sa_persona_import_file")?.click());
-      $("sa_persona_import_file")?.addEventListener("change", (e) => {
+      $2("sa_user_prefs_weight")?.addEventListener("change", () => saveKnobs());
+      $2("sa_memory_top_k")?.addEventListener("change", () => saveKnobs());
+      $2("sa_btn_knobs_save")?.addEventListener("click", () => saveKnobs());
+      $2("sa_btn_reset_ui")?.addEventListener("click", () => resetUiState());
+      $2("sa_btn_persona_export")?.addEventListener("click", () => exportSelectedPersona());
+      $2("sa_btn_persona_import")?.addEventListener("click", () => $2("sa_persona_import_file")?.click());
+      $2("sa_persona_import_file")?.addEventListener("change", (e) => {
         const file = e.target?.files?.[0];
         if (file) {
           importPersonaFile(file);
         }
         e.target.value = "";
       });
-      $("sa_btn_persona_clone")?.addEventListener("click", () => cloneSelectedPersona());
-      $("sa_btn_persona_delete_panel")?.addEventListener("click", () => deleteSelectedOverlayPersona());
-      $("sa_btn_settings_health")?.addEventListener("click", () => {
+      $2("sa_btn_persona_clone")?.addEventListener("click", () => cloneSelectedPersona());
+      $2("sa_btn_persona_delete_panel")?.addEventListener("click", () => deleteSelectedOverlayPersona());
+      $2("sa_btn_settings_health")?.addEventListener("click", () => {
         probeOllamaHealth();
         setTimeout(syncSettingsHealthLine, 400);
       });
-      $("sa_settings_chat_model")?.addEventListener("change", () => {
-        const v = $("sa_settings_chat_model")?.value;
-        if (v && $("sa_model")) {
-          $("sa_model").value = v;
+      $2("sa_settings_chat_model")?.addEventListener("change", () => {
+        const v = $2("sa_settings_chat_model")?.value;
+        if (v && $2("sa_model")) {
+          $2("sa_model").value = v;
           saveSettings();
         }
       });
-      $("sa_btn_look_result")?.addEventListener("click", () => askLookAtResult());
-      $("sa_ollama_health")?.addEventListener("click", () => probeOllamaHealth());
+      $2("sa_btn_look_result")?.addEventListener("click", () => askLookAtResult());
+      $2("sa_ollama_health")?.addEventListener("click", () => probeOllamaHealth());
       document.addEventListener("keydown", (e) => {
         if (state.lightboxIndex >= 0) {
           if (e.key === "Escape") {
@@ -8783,7 +8879,7 @@ ${HELP_TEXT}`);
           setChatsPanelOpen(false);
           closed = true;
         }
-        const slash = $("sa_slash_menu");
+        const slash = $2("sa_slash_menu");
         if (slash && !slash.hidden) {
           slash.hidden = true;
           closed = true;
@@ -8794,23 +8890,23 @@ ${HELP_TEXT}`);
         }
       });
       document.getElementById(TAB_BUTTON_ID)?.addEventListener("click", () => {
-        setTimeout(() => $("sa_input")?.focus(), 80);
+        setTimeout(() => $2("sa_input")?.focus(), 80);
       });
-      $("sa_btn_refresh_models")?.addEventListener("click", () => {
+      $2("sa_btn_refresh_models")?.addEventListener("click", () => {
         saveSettings();
         refreshModels();
         probeOllamaHealth();
       });
-      $("sa_btn_refresh_inventory")?.addEventListener("click", () => refreshInventory(() => {
+      $2("sa_btn_refresh_inventory")?.addEventListener("click", () => refreshInventory(() => {
         renderCardsList();
         renderLoraChips();
       }, { rescan: true }));
-      $("sa_btn_add_ref")?.addEventListener("click", () => {
+      $2("sa_btn_add_ref")?.addEventListener("click", () => {
         setBoardTab("refs");
         addRefSlot({ select: true });
       });
-      $("sa_btn_use_current")?.addEventListener("click", () => snapshotGenerateToRef());
-      $("sa_btn_as_init")?.addEventListener("click", async () => {
+      $2("sa_btn_use_current")?.addEventListener("click", () => snapshotGenerateToRef());
+      $2("sa_btn_as_init")?.addEventListener("click", async () => {
         closeAllMoreMenus();
         const src = selectedSrc() || findCurrentGenerateSrc();
         if (!src) {
@@ -8818,12 +8914,12 @@ ${HELP_TEXT}`);
           return;
         }
         await setInitFromSrc(src);
-        const pack = $("sa_pack");
+        const pack = $2("sa_pack");
         if (pack && (pack.value === "ordinary" || pack.value === "write_prompt")) {
           setPackValue("inpaint_edit", { flash: true });
         }
       });
-      $("sa_btn_as_mask")?.addEventListener("click", async () => {
+      $2("sa_btn_as_mask")?.addEventListener("click", async () => {
         closeAllMoreMenus();
         const src = selectedSrc();
         if (!src) {
@@ -8833,43 +8929,43 @@ ${HELP_TEXT}`);
         await setMaskFromSrc(src);
         setPackValue("inpaint_edit", { flash: true });
       });
-      $("sa_btn_clear_init")?.addEventListener("click", () => {
+      $2("sa_btn_clear_init")?.addEventListener("click", () => {
         if (window.confirm("\u0421\u0431\u0440\u043E\u0441\u0438\u0442\u044C Init \u0438 Mask?")) {
           clearInitAndMask();
         }
         closeAllMoreMenus();
       });
-      $("sa_btn_clear_image")?.addEventListener("click", () => clearSlot(state.selectedSlotId));
-      $("sa_btn_board_more")?.addEventListener("click", (e) => {
+      $2("sa_btn_clear_image")?.addEventListener("click", () => clearSlot(state.selectedSlotId));
+      $2("sa_btn_board_more")?.addEventListener("click", (e) => {
         e.stopPropagation();
         toggleMoreMenu("sa_board_more_menu", "sa_btn_board_more");
       });
-      $("sa_btn_send")?.addEventListener("click", () => sendChat());
-      $("sa_btn_build_gen")?.addEventListener("click", () => buildCurrentAndGenerate());
-      $("sa_btn_interrupt")?.addEventListener("click", () => {
+      $2("sa_btn_send")?.addEventListener("click", () => sendChat());
+      $2("sa_btn_build_gen")?.addEventListener("click", () => buildCurrentAndGenerate());
+      $2("sa_btn_interrupt")?.addEventListener("click", () => {
         doInterruptNow();
         clearInFlightUi({ status: "\u041F\u0440\u0435\u0440\u0432\u0430\u043D\u043E" });
       });
-      $("sa_btn_clear")?.addEventListener("click", () => {
+      $2("sa_btn_clear")?.addEventListener("click", () => {
         if (window.confirm("\u041E\u0447\u0438\u0441\u0442\u0438\u0442\u044C \u0432\u0435\u0441\u044C \u0447\u0430\u0442 Assistent?")) {
           clearChatHistory();
         }
       });
-      $("sa_btn_clear_more")?.addEventListener("click", (e) => {
+      $2("sa_btn_clear_more")?.addEventListener("click", (e) => {
         e.stopPropagation();
         toggleMoreMenu("sa_clear_more_menu", "sa_btn_clear_more");
       });
-      $("sa_btn_clear_confirm")?.addEventListener("click", () => {
+      $2("sa_btn_clear_confirm")?.addEventListener("click", () => {
         closeAllMoreMenus();
         if (window.confirm("\u041E\u0447\u0438\u0441\u0442\u0438\u0442\u044C \u0432\u0435\u0441\u044C \u0447\u0430\u0442 Assistent?")) {
           clearChatHistory();
         }
       });
-      $("sa_btn_clear_patches")?.addEventListener("click", () => {
+      $2("sa_btn_clear_patches")?.addEventListener("click", () => {
         closeAllMoreMenus();
         clearPatchBlocksOnly();
       });
-      $("sa_btn_card_to_chat")?.addEventListener("click", () => {
+      $2("sa_btn_card_to_chat")?.addEventListener("click", () => {
         if (state.cardsSelection) {
           sendCardToChat(state.cardsSelection);
         } else {
@@ -8882,26 +8978,26 @@ ${HELP_TEXT}`);
         }
         closeAllMoreMenus();
       });
-      $("sa_board_more_menu")?.addEventListener("click", (e) => e.stopPropagation());
-      $("sa_clear_more_menu")?.addEventListener("click", (e) => e.stopPropagation());
-      $("sa_base_url")?.addEventListener("change", saveSettings);
-      $("sa_model")?.addEventListener("change", () => {
-        const v = $("sa_model")?.value;
-        if (v && $("sa_settings_chat_model")) {
-          $("sa_settings_chat_model").value = v;
+      $2("sa_board_more_menu")?.addEventListener("click", (e) => e.stopPropagation());
+      $2("sa_clear_more_menu")?.addEventListener("click", (e) => e.stopPropagation());
+      $2("sa_base_url")?.addEventListener("change", saveSettings);
+      $2("sa_model")?.addEventListener("change", () => {
+        const v = $2("sa_model")?.value;
+        if (v && $2("sa_settings_chat_model")) {
+          $2("sa_settings_chat_model").value = v;
         }
         saveSettings();
       });
-      $("sa_embed_model")?.addEventListener("change", () => {
-        state.preferredEmbed = $("sa_embed_model")?.value || "";
+      $2("sa_embed_model")?.addEventListener("change", () => {
+        state.preferredEmbed = $2("sa_embed_model")?.value || "";
         saveSettings();
       });
-      $("sa_pack")?.addEventListener("change", () => {
+      $2("sa_pack")?.addEventListener("change", () => {
         state.packUserTouched = true;
         saveSettings();
         syncModeBadge();
       });
-      $("sa_chips")?.addEventListener("click", async (e) => {
+      $2("sa_chips")?.addEventListener("click", async (e) => {
         const btn = e.target.closest(".sa-chip");
         if (!btn || state.busy || state.generating) {
           return;
@@ -8927,7 +9023,7 @@ ${HELP_TEXT}`);
         }
         renderLoraChips();
       });
-      $("sa_auto_vision")?.addEventListener("change", () => {
+      $2("sa_auto_vision")?.addEventListener("change", () => {
         saveSettings();
         const gen = generateSlot();
         if (gen) {
@@ -8935,11 +9031,11 @@ ${HELP_TEXT}`);
           renderBoard();
         }
       });
-      $("sa_auto_apply")?.addEventListener("change", saveSettings);
-      $("sa_auto_generate")?.addEventListener("change", saveSettings);
-      $("sa_auto_critique")?.addEventListener("change", saveSettings);
-      $("sa_auto_download")?.addEventListener("change", saveSettings);
-      $("sa_park_llm")?.addEventListener("change", saveSettings);
+      $2("sa_auto_apply")?.addEventListener("change", saveSettings);
+      $2("sa_auto_generate")?.addEventListener("change", saveSettings);
+      $2("sa_auto_critique")?.addEventListener("change", saveSettings);
+      $2("sa_auto_download")?.addEventListener("change", saveSettings);
+      $2("sa_park_llm")?.addEventListener("change", saveSettings);
       syncChipHighlight();
       setInterval(syncChipHighlight, 2500);
       setInterval(renderLoraChips, 4e3);
@@ -8976,6 +9072,15 @@ ${HELP_TEXT}`);
           refreshInventory(null, { rescan: inventoryIsStale(tabOn ? 45e3 : 12e4) });
         }
       }, 3e4);
+      window.SA = window.SA || {};
+      window.SA.app = {
+        getState: () => state,
+        setTrainingLock(on) {
+          state.trainingLock = !!on;
+        },
+        refreshModels: () => refreshModels(),
+        setStatus: (msg) => setStatus(msg)
+      };
       window.swarmAssistent = {
         setImageFromSrc,
         putImageOnBoard,
@@ -9000,14 +9105,14 @@ ${HELP_TEXT}`);
       };
     }
     function wireSlashInput() {
-      const input = $("sa_input");
+      const input = $2("sa_input");
       if (!input || input.dataset.saSlashWired) {
         return;
       }
       input.dataset.saSlashWired = "1";
       input.addEventListener("input", () => updateSlashMenuFromInput());
       input.addEventListener("keydown", (e) => {
-        const menu = $("sa_slash_menu");
+        const menu = $2("sa_slash_menu");
         const open = menu && !menu.hidden;
         if (open) {
           const items = slashMatches(input.value.split(/\s/)[0] || "");
@@ -9051,6 +9156,517 @@ ${HELP_TEXT}`);
     }
   })();
 
+  // src/training.js
+  var $ = (id) => document.getElementById(id);
+  function escapeHtml(s) {
+    return String(s ?? "").replace(/&/g, "&amp;").replace(/</g, "&lt;").replace(/>/g, "&gt;").replace(/"/g, "&quot;");
+  }
+  function attachTraining(SA2) {
+    const state = {
+      ttab: "dataset",
+      samples: [],
+      hfResults: [],
+      hfSelected: null,
+      hfCheck: null,
+      trainWs: null,
+      polling: null,
+      agentSettings: { enabled: true, auto_link_on_approve: true, heard_quota: 3 },
+      agentLinked: 0
+    };
+    function setAgentHeardStats(linked) {
+      const el = $("sa_agent_heard_stats");
+      if (el) {
+        el.textContent = `\u041F\u043E\u0434\u043A\u043B\u044E\u0447\u0435\u043D\u043E: ${linked ?? state.agentLinked ?? "\u2014"}`;
+      }
+    }
+    async function loadAgentHeardSettings() {
+      try {
+        const data = await SA2.request("AssistentGetDatasetAgentSettings", {});
+        const s = data?.settings || {};
+        state.agentSettings = {
+          enabled: s.enabled !== false,
+          auto_link_on_approve: s.auto_link_on_approve !== false,
+          heard_quota: s.heard_quota ?? 3
+        };
+        state.agentLinked = data?.linked ?? 0;
+        if ($("sa_agent_heard_enabled")) $("sa_agent_heard_enabled").checked = state.agentSettings.enabled;
+        if ($("sa_agent_auto_link")) $("sa_agent_auto_link").checked = state.agentSettings.auto_link_on_approve;
+        if ($("sa_agent_heard_quota")) $("sa_agent_heard_quota").value = String(state.agentSettings.heard_quota);
+        setAgentHeardStats(state.agentLinked);
+      } catch (e) {
+        console.warn("loadAgentHeardSettings", e);
+      }
+    }
+    async function saveAgentHeardSettings() {
+      const settings = {
+        enabled: !!$("sa_agent_heard_enabled")?.checked,
+        auto_link_on_approve: !!$("sa_agent_auto_link")?.checked,
+        heard_quota: Math.max(0, Math.min(8, parseInt($("sa_agent_heard_quota")?.value, 10) || 3))
+      };
+      try {
+        const data = await SA2.request("AssistentSaveDatasetAgentSettings", { settings });
+        state.agentSettings = data?.settings || settings;
+        setTrainStatus("\u041D\u0430\u0441\u0442\u0440\u043E\u0439\u043A\u0438 \xAB\u0443\u0441\u043B\u044B\u0448\u0430\u043D\u043D\u043E\u0433\u043E\xBB \u0441\u043E\u0445\u0440\u0430\u043D\u0435\u043D\u044B");
+      } catch (e) {
+        setTrainStatus(String(e.message || e));
+      }
+    }
+    async function syncAllToAgent() {
+      setTrainStatus("\u041F\u043E\u0434\u043A\u043B\u044E\u0447\u0435\u043D\u0438\u0435 \u043A \u0430\u0433\u0435\u043D\u0442\u0443\u2026");
+      try {
+        await saveAgentHeardSettings();
+        const data = await SA2.request("AssistentSyncDatasetToAgent", { approved_only: true, relink: false });
+        state.agentLinked = data?.total_linked ?? state.agentLinked;
+        setAgentHeardStats(state.agentLinked);
+        setTrainStatus(`\u041F\u043E\u0434\u043A\u043B\u044E\u0447\u0435\u043D\u043E: +${data?.linked_now ?? 0}, \u0432\u0441\u0435\u0433\u043E ${data?.total_linked ?? "\u2014"}`);
+        await refreshSamples();
+      } catch (e) {
+        setTrainStatus(String(e.message || e));
+      }
+    }
+    function setTrainStatus(msg) {
+      const el = $("sa_train_status");
+      if (el) el.textContent = msg || "";
+    }
+    function setTrainingTab(id) {
+      state.ttab = id || "dataset";
+      document.querySelectorAll("#sa_training .sa-ttab").forEach((btn) => {
+        const on = btn.getAttribute("data-ttab") === state.ttab;
+        btn.classList.toggle("sa-ttab-active", on);
+        btn.setAttribute("aria-selected", on ? "true" : "false");
+      });
+      document.querySelectorAll("#sa_training .sa-tpane").forEach((pane) => {
+        pane.hidden = pane.getAttribute("data-tpane") !== state.ttab;
+      });
+      if (state.ttab === "dataset") {
+        refreshSamples();
+        loadAgentHeardSettings();
+      }
+      if (state.ttab === "train") syncModelfileModels();
+      if (state.ttab === "models") refreshTrainModels();
+    }
+    async function refreshSamples() {
+      try {
+        const status = $("sa_train_filter_status")?.value || "all";
+        const persona = $("sa_train_filter_persona")?.value || "all";
+        const data = await SA2.request("AssistentListTrainSamples", { status, persona, limit: 300 });
+        state.samples = data?.samples || [];
+        const stats = $("sa_train_stats");
+        if (stats) stats.textContent = `\u041E\u0434\u043E\u0431\u0440\u0435\u043D\u043E: ${data?.approved ?? "\u2014"} \xB7 \u0432\u0441\u0435\u0433\u043E: ${data?.total ?? "\u2014"}`;
+        const personaSel = $("sa_train_filter_persona");
+        if (personaSel && $("sa_persona")) {
+          const cur = personaSel.value || "all";
+          personaSel.innerHTML = '<option value="all">\u0412\u0441\u0435 \u043B\u0438\u0447\u043D\u043E\u0441\u0442\u0438</option>';
+          for (const opt of $("sa_persona").options) {
+            const o = document.createElement("option");
+            o.value = opt.value;
+            o.textContent = opt.textContent;
+            personaSel.appendChild(o);
+          }
+          personaSel.value = cur;
+        }
+        renderSamples();
+      } catch (e) {
+        setTrainStatus(String(e.message || e));
+      }
+    }
+    function renderSamples() {
+      const root = $("sa_train_samples");
+      if (!root) return;
+      if (!state.samples.length) {
+        root.innerHTML = '<div class="sa-mem-empty">\u041D\u0435\u0442 \u043F\u0440\u0438\u043C\u0435\u0440\u043E\u0432. \u041E\u0442\u043C\u0435\u0442\u044C \u043E\u0442\u0432\u0435\u0442\u044B \u0432 \u0447\u0430\u0442\u0435 \u0438\u043B\u0438 \u0438\u043C\u043F\u043E\u0440\u0442\u0438\u0440\u0443\u0439 \u0434\u0430\u0442\u0430\u0441\u0435\u0442.</div>';
+        return;
+      }
+      root.innerHTML = "";
+      for (const s of state.samples) {
+        const div = document.createElement("div");
+        div.className = "sa-train-sample";
+        div.dataset.id = s.id;
+        const msgs = s.messages || [];
+        const preview = msgs.map((m) => `${m.role}: ${(m.content || "").slice(0, 120)}`).join("\n");
+        const linked = s.agent_linked ? " \xB7 \u{1F517} \u0430\u0433\u0435\u043D\u0442" : "";
+        div.innerHTML = `
+        <div class="sa-train-sample-head">
+          <span class="sa-hf-badge sa-hf-badge-${s.status === "approved" ? "ok" : s.status === "rejected" ? "no" : "map"}">${escapeHtml(s.status)}</span>
+          <span>${escapeHtml(s.source)} \xB7 ${escapeHtml(s.persona || "\u2014")} \xB7 ${escapeHtml(s.pack || "\u2014")}${linked}</span>
+          <button type="button" class="basic-button" data-approve="1">\u2713</button>
+          <button type="button" class="basic-button" data-reject="1">\u2715</button>
+          <button type="button" class="basic-button" data-link="1" title="\u041F\u043E\u0434\u043A\u043B\u044E\u0447\u0438\u0442\u044C \u043A \u0430\u0433\u0435\u043D\u0442\u0443">\u{1F517}</button>
+          <button type="button" class="basic-button" data-unlink="1" title="\u041E\u0442\u043A\u043B\u044E\u0447\u0438\u0442\u044C \u043E\u0442 \u0430\u0433\u0435\u043D\u0442\u0430">\u26D3</button>
+          <button type="button" class="basic-button sa-danger-btn" data-del="1">\u0423\u0434\u0430\u043B\u0438\u0442\u044C</button>
+        </div>
+        <textarea spellcheck="false">${escapeHtml(preview)}</textarea>`;
+        root.appendChild(div);
+      }
+    }
+    async function upsertSample(patch) {
+      await SA2.request("AssistentUpsertTrainSample", patch);
+      await refreshSamples();
+    }
+    function renderHfList() {
+      const root = $("sa_hf_list");
+      if (!root) return;
+      root.innerHTML = "";
+      const showAll = !!$("sa_hf_show_all")?.checked;
+      for (const r of state.hfResults) {
+        if (!showAll && r.gate === "rejected") continue;
+        const row = document.createElement("div");
+        row.className = "sa-hf-row" + (state.hfSelected === r.id ? " sa-hf-row-active" : "") + (r.gate === "rejected" ? " sa-hf-rejected" : "");
+        row.dataset.id = r.id;
+        const badge = r.gate === "ok" ? "ok" : r.gate === "mapping" ? "map" : "no";
+        row.innerHTML = `<span class="sa-hf-badge sa-hf-badge-${badge}">${escapeHtml(r.gate)}</span><strong>${escapeHtml(r.id)}</strong><span>${escapeHtml(r.reason || "")}</span>`;
+        root.appendChild(row);
+      }
+    }
+    async function searchHf() {
+      const q = ($("sa_hf_search")?.value || "").trim();
+      setTrainStatus("\u041F\u043E\u0438\u0441\u043A\u2026");
+      try {
+        const data = await SA2.request("AssistentSearchHfDatasets", {
+          q,
+          limit: 24,
+          show_all: !!$("sa_hf_show_all")?.checked
+        });
+        state.hfResults = data?.results || [];
+        renderHfList();
+        setTrainStatus(`\u041D\u0430\u0439\u0434\u0435\u043D\u043E: ${state.hfResults.length}`);
+      } catch (e) {
+        setTrainStatus(String(e.message || e));
+      }
+    }
+    async function checkHfLink() {
+      const link = ($("sa_hf_link")?.value || "").trim();
+      const status = $("sa_hf_status");
+      if (!link) return;
+      if (status) status.textContent = "\u041F\u0440\u043E\u0432\u0435\u0440\u044F\u044E\u2026";
+      try {
+        const data = await SA2.request("AssistentCheckHfDataset", { dataset: link });
+        state.hfCheck = data;
+        state.hfSelected = data.id;
+        if (status) {
+          status.textContent = data.gate === "rejected" ? `\u041E\u0442\u043A\u043B\u043E\u043D\u0435\u043D\u043E: ${data.reason}` : `${data.gate}: ${data.reason || "OK"}`;
+        }
+        const preview = $("sa_hf_preview");
+        if (preview) {
+          preview.hidden = false;
+          preview.textContent = JSON.stringify(data.sample_rows || data.features || data, null, 2).slice(0, 8e3);
+        }
+        const importRow = $("sa_hf_import_row");
+        if (importRow) importRow.hidden = data.gate === "rejected";
+      } catch (e) {
+        if (status) status.textContent = String(e.message || e);
+      }
+    }
+    async function importHf() {
+      if (!state.hfSelected && !state.hfCheck?.id) {
+        setTrainStatus("\u0421\u043D\u0430\u0447\u0430\u043B\u0430 \u043F\u0440\u043E\u0432\u0435\u0440\u044C \u043D\u0430\u0431\u043E\u0440");
+        return;
+      }
+      const id = state.hfSelected || state.hfCheck.id;
+      const limit = Number($("sa_hf_import_limit")?.value) || 200;
+      try {
+        const data = await SA2.request("AssistentImportHfDataset", { dataset: id, limit });
+        setTrainStatus(`\u0418\u043C\u043F\u043E\u0440\u0442\u0438\u0440\u043E\u0432\u0430\u043D\u043E: ${data.imported}${data.runner_only ? " (runner-only)" : ""}`);
+        await refreshSamples();
+      } catch (e) {
+        setTrainStatus(String(e.message || e));
+      }
+    }
+    async function syncModelfileModels() {
+      try {
+        const baseUrl = $("sa_base_url")?.value || localStorage.getItem("swarm_assistent_base_url") || "";
+        const data = await SA2.request("AssistentListModels", { baseUrl });
+        const models = data?.models || [];
+        for (const selId of ["sa_modelfile_base"]) {
+          const sel = $(selId);
+          if (!sel) continue;
+          const cur = sel.value;
+          sel.innerHTML = '<option value="">\u2014</option>';
+          for (const m of models) {
+            const opt = document.createElement("option");
+            opt.value = m;
+            opt.textContent = m;
+            sel.appendChild(opt);
+          }
+          if (cur) sel.value = cur;
+        }
+        const personaSel = $("sa_modelfile_persona");
+        if (personaSel && $("sa_persona")) {
+          personaSel.innerHTML = $("sa_persona").innerHTML;
+          personaSel.value = $("sa_persona").value || "neutral";
+        }
+      } catch (e) {
+      }
+    }
+    async function createModelfile() {
+      setTrainStatus("\u0421\u043E\u0437\u0434\u0430\u044E \u043C\u043E\u0434\u0435\u043B\u044C\u2026");
+      try {
+        const data = await SA2.request("AssistentCreateOllamaModel", {
+          base_url: $("sa_base_url")?.value,
+          base_model: $("sa_modelfile_base")?.value,
+          name: $("sa_modelfile_name")?.value,
+          persona: $("sa_modelfile_persona")?.value,
+          system: $("sa_modelfile_system")?.value,
+          shots: Number($("sa_modelfile_shots")?.value) || 8,
+          num_ctx: Number($("sa_modelfile_num_ctx")?.value) || 16384,
+          temperature: Number($("sa_modelfile_temp")?.value) || 0.7
+        });
+        setTrainStatus(`\u0413\u043E\u0442\u043E\u0432\u043E: ${data.name}`);
+        SA2.app?.refreshModels?.();
+      } catch (e) {
+        setTrainStatus(String(e.message || e));
+      }
+    }
+    function setTrainMode(mode) {
+      $("sa_train_form_modelfile").hidden = mode !== "modelfile";
+      $("sa_train_form_qlora").hidden = mode !== "qlora";
+    }
+    function setTrainingLock(on, text) {
+      const root = $("swarm_assistent_root");
+      const banner = $("sa_train_banner");
+      if (root) root.classList.toggle("sa-root-training-lock", !!on);
+      if (banner) {
+        banner.hidden = !on;
+        const t = $("sa_train_banner_text");
+        if (t && text) t.textContent = text;
+      }
+      SA2.app?.setTrainingLock?.(!!on);
+    }
+    async function pollTrainJob() {
+      try {
+        const data = await SA2.request("AssistentGetTrainJob", {});
+        const prog = data?.job?.progress_json ? JSON.parse(data.job.progress_json) : null;
+        const active = data?.training_active || data?.job?.status === "running";
+        setTrainingLock(active, prog?.status === "running" ? `\u0422\u0440\u0435\u043D\u0438\u0440\u043E\u0432\u043A\u0430 \xB7 ${prog?.percent ?? 0}%` : "\u0418\u0434\u0451\u0442 \u0442\u0440\u0435\u043D\u0438\u0440\u043E\u0432\u043A\u0430\u2026");
+        const logEl = $("sa_train_log");
+        const bar = $("sa_train_progress_fill");
+        const box = $("sa_train_progress");
+        if (prog) {
+          if (box) box.hidden = false;
+          if (bar && prog.percent != null) bar.style.width = `${prog.percent}%`;
+          if (logEl && prog.log) logEl.textContent = prog.log;
+        }
+        if (!active) {
+          clearInterval(state.polling);
+          state.polling = null;
+          $("sa_btn_qlora_cancel").hidden = true;
+        }
+      } catch (e) {
+      }
+    }
+    async function startQlora() {
+      setTrainStatus("\u0417\u0430\u043F\u0443\u0441\u043A\u2026");
+      try {
+        await SA2.request("AssistentStartTrainJob", {
+          base_url: $("sa_base_url")?.value,
+          chat_model: $("sa_model")?.value,
+          base_model: $("sa_qlora_base")?.value,
+          output_name: $("sa_qlora_name")?.value,
+          rank: Number($("sa_qlora_rank")?.value) || 16,
+          alpha: Number($("sa_qlora_alpha")?.value) || 32,
+          lr: Number($("sa_qlora_lr")?.value) || 2e-4,
+          epochs: Number($("sa_qlora_epochs")?.value) || 3,
+          seq_len: Number($("sa_qlora_seq")?.value) || 2048,
+          four_bit: !!$("sa_qlora_4bit")?.checked,
+          hf_dataset: ($("sa_qlora_hf_dataset")?.value || "").trim() || void 0
+        });
+        $("sa_btn_qlora_cancel").hidden = false;
+        setTrainingLock(true, "\u0418\u0434\u0451\u0442 \u0442\u0440\u0435\u043D\u0438\u0440\u043E\u0432\u043A\u0430\u2026");
+        if (state.polling) clearInterval(state.polling);
+        state.polling = setInterval(pollTrainJob, 1500);
+        pollTrainJob();
+        setTrainStatus("\u0422\u0440\u0435\u043D\u0438\u0440\u043E\u0432\u043A\u0430 \u0437\u0430\u043F\u0443\u0449\u0435\u043D\u0430");
+      } catch (e) {
+        setTrainStatus(String(e.message || e));
+      }
+    }
+    async function cancelQlora() {
+      try {
+        await SA2.request("AssistentCancelTrainJob", {});
+        setTrainingLock(false);
+        setTrainStatus("\u041E\u0442\u043C\u0435\u043D\u0435\u043D\u043E");
+      } catch (e) {
+        setTrainStatus(String(e.message || e));
+      }
+    }
+    async function refreshTrainModels() {
+      const root = $("sa_train_models_list");
+      if (!root) return;
+      try {
+        const data = await SA2.request("AssistentListModels", { baseUrl: $("sa_base_url")?.value });
+        const models = data?.models || [];
+        root.innerHTML = models.length ? models.map((m) => `<div class="sa-hf-row"><strong>${escapeHtml(m)}</strong></div>`).join("") : '<div class="sa-mem-empty">\u041D\u0435\u0442 \u043C\u043E\u0434\u0435\u043B\u0435\u0439</div>';
+      } catch (e) {
+        root.innerHTML = `<div class="sa-mem-empty">${escapeHtml(e.message)}</div>`;
+      }
+    }
+    async function saveRunner() {
+      try {
+        await SA2.request("AssistentSaveRunnerSettings", {
+          python: $("sa_runner_python")?.value,
+          kind: $("sa_runner_kind")?.value,
+          workdir: $("sa_runner_workdir")?.value,
+          cmd: $("sa_runner_cmd")?.value,
+          gguf_script: $("sa_runner_gguf_script")?.value
+        });
+        setTrainStatus("\u0420\u0430\u043D\u043D\u0435\u0440 \u0441\u043E\u0445\u0440\u0430\u043D\u0451\u043D");
+      } catch (e) {
+        setTrainStatus(String(e.message || e));
+      }
+    }
+    async function loadRunner() {
+      try {
+        const data = await SA2.request("AssistentGetRunnerSettings", {});
+        const s = data?.settings || {};
+        if ($("sa_runner_python") && s.python) $("sa_runner_python").value = s.python;
+        if ($("sa_runner_kind") && s.kind) $("sa_runner_kind").value = s.kind;
+        if ($("sa_runner_workdir") && s.workdir) $("sa_runner_workdir").value = s.workdir;
+        if ($("sa_runner_cmd") && s.cmd) $("sa_runner_cmd").value = s.cmd;
+        if ($("sa_runner_gguf_script") && s.gguf_script) $("sa_runner_gguf_script").value = s.gguf_script;
+      } catch (e) {
+      }
+    }
+    function wireTraining() {
+      if (window.__saTrainingWired) return;
+      window.__saTrainingWired = true;
+      document.querySelectorAll("#sa_training .sa-ttab").forEach((btn) => {
+        btn.addEventListener("click", () => setTrainingTab(btn.getAttribute("data-ttab")));
+      });
+      $("sa_btn_agent_sync")?.addEventListener("click", syncAllToAgent);
+      $("sa_agent_heard_enabled")?.addEventListener("change", saveAgentHeardSettings);
+      $("sa_agent_auto_link")?.addEventListener("change", saveAgentHeardSettings);
+      $("sa_agent_heard_quota")?.addEventListener("change", saveAgentHeardSettings);
+      loadAgentHeardSettings();
+      $("sa_btn_train_from_chats")?.addEventListener("click", async () => {
+        try {
+          const data = await SA2.request("AssistentBuildDatasetFromChats", {});
+          setTrainStatus(`\u0418\u0437 \u0447\u0430\u0442\u043E\u0432: +${data.added}`);
+          await refreshSamples();
+        } catch (e) {
+          setTrainStatus(String(e.message || e));
+        }
+      });
+      $("sa_btn_train_import_file")?.addEventListener("click", () => $("sa_train_import_file")?.click());
+      $("sa_train_import_file")?.addEventListener("change", async (e) => {
+        const file = e.target?.files?.[0];
+        if (!file) return;
+        const text = await file.text();
+        try {
+          const data = await SA2.request("AssistentImportDataset", { format: "auto", content: text });
+          setTrainStatus(`\u0418\u043C\u043F\u043E\u0440\u0442: ${data.imported}`);
+          await refreshSamples();
+        } catch (err) {
+          setTrainStatus(String(err.message || err));
+        }
+        e.target.value = "";
+      });
+      $("sa_btn_train_export")?.addEventListener("click", async () => {
+        try {
+          const data = await SA2.request("AssistentExportDataset", { status: "approved" });
+          if (data.content) {
+            const blob = new Blob([data.content], { type: "application/jsonl" });
+            const a = document.createElement("a");
+            a.href = URL.createObjectURL(blob);
+            a.download = "assistent-dataset.jsonl";
+            a.click();
+          }
+          setTrainStatus(`\u042D\u043A\u0441\u043F\u043E\u0440\u0442: ${data.count} \u043F\u0440\u0438\u043C\u0435\u0440\u043E\u0432`);
+        } catch (e) {
+          setTrainStatus(String(e.message || e));
+        }
+      });
+      $("sa_train_filter_status")?.addEventListener("change", refreshSamples);
+      $("sa_train_filter_persona")?.addEventListener("change", refreshSamples);
+      $("sa_train_samples")?.addEventListener("click", async (e) => {
+        const row = e.target.closest(".sa-train-sample");
+        if (!row) return;
+        const id = row.dataset.id;
+        const sample = state.samples.find((s) => s.id === id);
+        if (!sample) return;
+        if (e.target.closest("[data-approve]")) {
+          await upsertSample({ ...sample, status: "approved" });
+          await loadAgentHeardSettings();
+        } else if (e.target.closest("[data-reject]")) {
+          await upsertSample({ ...sample, status: "rejected" });
+          await loadAgentHeardSettings();
+        } else if (e.target.closest("[data-link]")) {
+          try {
+            const data = await SA2.request("AssistentLinkTrainSampleToAgent", { id });
+            state.agentLinked = data?.linked ?? state.agentLinked;
+            setAgentHeardStats(state.agentLinked);
+            setTrainStatus("\u041F\u0440\u0438\u043C\u0435\u0440 \u043F\u043E\u0434\u043A\u043B\u044E\u0447\u0451\u043D \u043A \u0430\u0433\u0435\u043D\u0442\u0443");
+            await refreshSamples();
+          } catch (err) {
+            setTrainStatus(String(err.message || err));
+          }
+        } else if (e.target.closest("[data-unlink]")) {
+          try {
+            const data = await SA2.request("AssistentUnlinkTrainSampleFromAgent", { id });
+            state.agentLinked = data?.linked ?? state.agentLinked;
+            setAgentHeardStats(state.agentLinked);
+            setTrainStatus("\u041F\u0440\u0438\u043C\u0435\u0440 \u043E\u0442\u043A\u043B\u044E\u0447\u0451\u043D \u043E\u0442 \u0430\u0433\u0435\u043D\u0442\u0430");
+            await refreshSamples();
+          } catch (err) {
+            setTrainStatus(String(err.message || err));
+          }
+        } else if (e.target.closest("[data-del]")) {
+          if (window.confirm("\u0423\u0434\u0430\u043B\u0438\u0442\u044C \u043F\u0440\u0438\u043C\u0435\u0440?")) {
+            await SA2.request("AssistentDeleteTrainSample", { id });
+            await refreshSamples();
+          }
+        }
+      });
+      $("sa_btn_hf_search")?.addEventListener("click", searchHf);
+      $("sa_hf_show_all")?.addEventListener("change", () => {
+        renderHfList();
+      });
+      $("sa_hf_list")?.addEventListener("click", async (e) => {
+        const row = e.target.closest(".sa-hf-row");
+        if (!row || row.classList.contains("sa-hf-rejected")) return;
+        state.hfSelected = row.dataset.id;
+        $("sa_hf_link").value = row.dataset.id;
+        renderHfList();
+        await checkHfLink();
+      });
+      $("sa_btn_hf_check")?.addEventListener("click", checkHfLink);
+      $("sa_btn_hf_import")?.addEventListener("click", importHf);
+      document.querySelectorAll('input[name="sa_train_mode"]').forEach((r) => {
+        r.addEventListener("change", () => setTrainMode(r.value));
+      });
+      $("sa_btn_modelfile_create")?.addEventListener("click", createModelfile);
+      $("sa_btn_qlora_start")?.addEventListener("click", startQlora);
+      $("sa_btn_qlora_cancel")?.addEventListener("click", cancelQlora);
+      $("sa_btn_train_models_refresh")?.addEventListener("click", refreshTrainModels);
+      $("sa_btn_save_runner")?.addEventListener("click", saveRunner);
+      loadRunner();
+      setTrainMode("modelfile");
+    }
+    SA2.training = {
+      render() {
+        wireTraining();
+        setTrainingTab(state.ttab);
+      },
+      async curateFromChat(messages, meta) {
+        try {
+          await SA2.request("AssistentUpsertTrainSample", {
+            source: "chat",
+            chat_id: meta?.chatId,
+            persona: meta?.persona,
+            pack: meta?.pack,
+            status: meta?.status || "approved",
+            messages
+          });
+          return true;
+        } catch (e) {
+          console.warn("curateFromChat", e);
+          return false;
+        }
+      },
+      setTrainingLock,
+      pollTrainJob
+    };
+  }
+
   // src/main.js
   window.SA = window.SA || {};
   attachApi(window.SA);
@@ -9063,4 +9679,5 @@ ${HELP_TEXT}`);
       window.SA.PATCH_KEYS = keys;
     }
   };
+  attachTraining(window.SA);
 })();
diff --git a/Assets/assistent.css b/Assets/assistent.css
index ecced26..32f691e 100644
--- a/Assets/assistent.css
+++ b/Assets/assistent.css
@@ -17,6 +17,137 @@
     opacity: 0.95;
 }
 
+.sa-appbar {
+    display: flex;
+    align-items: center;
+    gap: 0.65rem;
+    flex-wrap: wrap;
+    padding: 0.35rem 0.5rem 0.55rem;
+    border-bottom: 1px solid color-mix(in srgb, currentColor 18%, transparent);
+    flex: 0 0 auto;
+}
+
+.sa-appbar-brand {
+    display: flex;
+    align-items: center;
+    gap: 0.45rem;
+    min-width: 0;
+}
+
+.sa-appbar-title {
+    font-weight: 700;
+    letter-spacing: 0.04em;
+    font-size: 0.92rem;
+}
+
+.sa-app-tabs {
+    display: inline-flex;
+    gap: 0.25rem;
+    flex: 1;
+    min-width: 0;
+    flex-wrap: wrap;
+}
+
+.sa-app-tab {
+    border: 1px solid color-mix(in srgb, currentColor 22%, transparent);
+    background: transparent;
+    color: inherit;
+    border-radius: 999px;
+    padding: 0.22rem 0.75rem;
+    font-size: 0.82rem;
+    font-weight: 600;
+    cursor: pointer;
+    opacity: 0.72;
+}
+
+.sa-app-tab-active {
+    opacity: 1;
+    background: color-mix(in srgb, currentColor 14%, transparent);
+    border-color: color-mix(in srgb, currentColor 42%, transparent);
+}
+
+.sa-train-banner {
+    display: inline-flex;
+    align-items: center;
+    gap: 0.45rem;
+    padding: 0.25rem 0.65rem;
+    border-radius: 999px;
+    font-size: 0.78rem;
+    font-weight: 600;
+    border: 1px solid color-mix(in srgb, #f5a623 55%, currentColor);
+    background: color-mix(in srgb, #f5a623 16%, transparent);
+    flex: 0 0 auto;
+}
+
+.sa-views {
+    flex: 1;
+    display: flex;
+    flex-direction: column;
+    min-height: 0;
+}
+
+.sa-views > .sa-view {
+    flex: 1;
+    min-height: 0;
+    display: flex;
+    flex-direction: column;
+}
+
+.sa-views > .sa-view[hidden] {
+    display: none !important;
+}
+
+#sa_view_chat .sa-layout {
+    flex: 1;
+    min-height: 0;
+}
+
+.sa-chat-workspace {
+    flex: 1 1 auto;
+    display: flex;
+    min-width: 0;
+    min-height: 0;
+    gap: 0;
+}
+
+.sa-chat-body {
+    flex: 1;
+    display: flex;
+    flex-direction: column;
+    min-height: 0;
+}
+
+.sa-chats-drawer {
+    flex: 0 0 var(--sa-chats-drawer-width, 16rem);
+    width: var(--sa-chats-drawer-width, 16rem);
+    display: flex;
+    flex-direction: column;
+    gap: 0.35rem;
+    min-height: 0;
+    border-left: 1px solid color-mix(in srgb, currentColor 18%, transparent);
+    background: color-mix(in srgb, currentColor 4%, transparent);
+    padding: 0.45rem 0.5rem;
+    overflow: hidden;
+    transition: width 0.2s ease, flex-basis 0.2s ease, opacity 0.2s ease;
+}
+
+.sa-chats-drawer[hidden] {
+    display: none !important;
+}
+
+.sa-chats-drawer-head {
+    display: flex;
+    align-items: center;
+    justify-content: space-between;
+    gap: 0.35rem;
+    font-size: 0.82rem;
+}
+
+.sa-chats-drawer-actions {
+    display: inline-flex;
+    gap: 0.2rem;
+}
+
 .sa-layout {
     display: flex;
     flex: 1;
@@ -411,22 +542,21 @@
     background: color-mix(in srgb, currentColor 10%, transparent);
 }
 
-.sa-chats-panel {
-    position: absolute;
-    z-index: 50;
-    top: calc(100% - 1px);
-    left: 0.5rem;
-    right: 0.5rem;
-    max-width: 26rem;
-    max-height: min(50vh, 22rem);
-    display: flex;
-    flex-direction: column;
-    gap: 0.35rem;
-    padding: 0.55rem;
-    border-radius: 0 0 0.5rem 0.5rem;
-    border: 1px solid color-mix(in srgb, currentColor 28%, transparent);
-    background: color-mix(in srgb, #161616 94%, currentColor);
-    box-shadow: 0 12px 28px color-mix(in srgb, #000 40%, transparent);
+.sa-chats-panel,
+.sa-chats-drawer {
+    /* drawer lives in .sa-chat-workspace — not a dropdown */
+    position: static;
+    z-index: auto;
+    top: auto;
+    left: auto;
+    right: auto;
+    max-width: none;
+    max-height: none;
+    box-shadow: none;
+    border-radius: 0;
+    border: none;
+    border-left: 1px solid color-mix(in srgb, currentColor 18%, transparent);
+    background: color-mix(in srgb, currentColor 4%, transparent);
 }
 
 .sa-chats-panel-head {
@@ -1491,7 +1621,13 @@
     vertical-align: middle;
 }
 
-.sa-subtab {
+/* app-level tabs replace in-pane subtabs */
+.sa-subtabs {
+    display: none;
+}
+
+.sa-subtab,
+.sa-app-tab {
     border: 1px solid color-mix(in srgb, currentColor 22%, transparent);
     background: transparent;
     color: inherit;
@@ -1503,7 +1639,8 @@
     opacity: 0.7;
 }
 
-.sa-subtab-active {
+.sa-subtab-active,
+.sa-app-tab-active {
     opacity: 1;
     background: color-mix(in srgb, currentColor 12%, transparent);
 }
@@ -2016,4 +2153,316 @@
         width: 98%;
         max-height: 96%;
     }
+    .sa-chat-workspace {
+        position: relative;
+    }
+    .sa-chats-drawer:not([hidden]) {
+        position: absolute;
+        z-index: 60;
+        top: 0;
+        right: 0;
+        bottom: 0;
+        width: min(18rem, 92vw);
+        flex: none;
+        box-shadow: -8px 0 24px color-mix(in srgb, #000 35%, transparent);
+    }
+}
+
+/* Training tab */
+.sa-training {
+    flex: 1;
+    display: flex;
+    flex-direction: column;
+    min-height: 0;
+    border: 1px solid color-mix(in srgb, currentColor 22%, transparent);
+    border-radius: 0.55rem;
+    background: color-mix(in srgb, currentColor 3%, transparent);
+    overflow: hidden;
+}
+
+.sa-training-tabs {
+    display: flex;
+    gap: 0.25rem;
+    padding: 0.45rem 0.55rem;
+    border-bottom: 1px solid color-mix(in srgb, currentColor 16%, transparent);
+    flex-wrap: wrap;
+}
+
+.sa-ttab {
+    border: 1px solid color-mix(in srgb, currentColor 22%, transparent);
+    background: transparent;
+    color: inherit;
+    border-radius: 999px;
+    padding: 0.15rem 0.65rem;
+    font-size: 0.78rem;
+    font-weight: 600;
+    cursor: pointer;
+    opacity: 0.72;
+}
+
+.sa-ttab-active {
+    opacity: 1;
+    background: color-mix(in srgb, currentColor 12%, transparent);
+}
+
+.sa-training-panes {
+    flex: 1;
+    overflow: auto;
+    min-height: 0;
+    padding: 0.55rem 0.65rem 0.75rem;
+}
+
+.sa-tpane {
+    display: flex;
+    flex-direction: column;
+    gap: 0.55rem;
+    min-height: 0;
+}
+
+.sa-train-toolbar {
+    display: flex;
+    flex-wrap: wrap;
+    gap: 0.35rem;
+    align-items: center;
+}
+
+.sa-train-stats {
+    font-size: 0.78rem;
+    font-weight: 600;
+    opacity: 0.85;
+    margin-right: 0.25rem;
+}
+
+.sa-agent-heard-panel {
+    border: 1px solid color-mix(in srgb, currentColor 18%, transparent);
+    border-radius: 0.45rem;
+    padding: 0.55rem 0.65rem;
+    display: flex;
+    flex-direction: column;
+    gap: 0.4rem;
+    margin-bottom: 0.35rem;
+}
+
+.sa-agent-heard-head {
+    display: flex;
+    flex-wrap: wrap;
+    align-items: center;
+    gap: 0.65rem;
+}
+
+.sa-agent-heard-stats {
+    font-size: 0.78rem;
+    font-weight: 600;
+    opacity: 0.8;
+}
+
+.sa-agent-heard-hint {
+    margin: 0;
+    font-size: 0.78rem;
+    opacity: 0.78;
+    line-height: 1.35;
+}
+
+.sa-agent-heard-controls {
+    display: flex;
+    flex-wrap: wrap;
+    align-items: center;
+    gap: 0.45rem 0.75rem;
+}
+
+.sa-agent-heard-controls label {
+    display: inline-flex;
+    align-items: center;
+    gap: 0.3rem;
+    font-size: 0.82rem;
+}
+
+.sa-agent-heard-controls input[type="number"] {
+    width: 2.75rem;
+}
+
+.sa-hf-panel {
+    border: 1px solid color-mix(in srgb, currentColor 18%, transparent);
+    border-radius: 0.45rem;
+    padding: 0.55rem;
+    display: flex;
+    flex-direction: column;
+    gap: 0.45rem;
+}
+
+.sa-hf-search-row,
+.sa-hf-link-row,
+.sa-hf-import-row {
+    display: flex;
+    flex-wrap: wrap;
+    gap: 0.35rem;
+    align-items: center;
+}
+
+.sa-hf-search,
+.sa-hf-link {
+    flex: 1 1 12rem;
+    min-width: 8rem;
+}
+
+.sa-hf-status {
+    font-size: 0.76rem;
+    opacity: 0.85;
+    min-height: 1.1rem;
+}
+
+.sa-hf-list {
+    display: flex;
+    flex-direction: column;
+    gap: 0.25rem;
+    max-height: 12rem;
+    overflow: auto;
+}
+
+.sa-hf-row {
+    display: flex;
+    align-items: flex-start;
+    gap: 0.35rem;
+    padding: 0.35rem 0.45rem;
+    border-radius: 0.35rem;
+    border: 1px solid color-mix(in srgb, currentColor 14%, transparent);
+    cursor: pointer;
+    font-size: 0.76rem;
+}
+
+.sa-hf-row:hover {
+    background: color-mix(in srgb, currentColor 8%, transparent);
+}
+
+.sa-hf-row.sa-hf-row-active {
+    border-color: color-mix(in srgb, currentColor 42%, transparent);
+    background: color-mix(in srgb, currentColor 12%, transparent);
+}
+
+.sa-hf-row.sa-hf-rejected {
+    opacity: 0.55;
+    cursor: not-allowed;
+}
+
+.sa-hf-badge {
+    font-size: 0.68rem;
+    padding: 0.05rem 0.35rem;
+    border-radius: 999px;
+    border: 1px solid color-mix(in srgb, currentColor 22%, transparent);
+    white-space: nowrap;
+}
+
+.sa-hf-badge-ok {
+    border-color: color-mix(in srgb, #4caf50 50%, currentColor);
+}
+
+.sa-hf-badge-map {
+    border-color: color-mix(in srgb, #f5a623 50%, currentColor);
+}
+
+.sa-hf-badge-no {
+    border-color: color-mix(in srgb, #e74c3c 50%, currentColor);
+}
+
+.sa-hf-preview {
+    font-size: 0.72rem;
+    max-height: 10rem;
+    overflow: auto;
+    border: 1px solid color-mix(in srgb, currentColor 14%, transparent);
+    border-radius: 0.35rem;
+    padding: 0.4rem;
+    white-space: pre-wrap;
+    font-family: ui-monospace, monospace;
+}
+
+.sa-train-samples {
+    display: flex;
+    flex-direction: column;
+    gap: 0.35rem;
+    max-height: 24rem;
+    overflow: auto;
+}
+
+.sa-train-sample {
+    border: 1px solid color-mix(in srgb, currentColor 16%, transparent);
+    border-radius: 0.4rem;
+    padding: 0.45rem 0.55rem;
+    font-size: 0.76rem;
+}
+
+.sa-train-sample-head {
+    display: flex;
+    flex-wrap: wrap;
+    gap: 0.35rem;
+    align-items: center;
+    margin-bottom: 0.35rem;
+}
+
+.sa-train-sample textarea {
+    width: 100%;
+    box-sizing: border-box;
+    min-height: 3rem;
+    font-size: 0.74rem;
+}
+
+.sa-msg-curate {
+    display: inline-flex;
+    gap: 0.25rem;
+    margin-top: 0.35rem;
+}
+
+.sa-msg-curate button {
+    font-size: 0.72rem !important;
+    padding: 0.1rem 0.4rem !important;
+}
+
+.sa-train-modes {
+    display: flex;
+    flex-direction: column;
+    gap: 0.25rem;
+}
+
+.sa-train-form label {
+    display: flex;
+    flex-direction: column;
+    gap: 0.2rem;
+    font-size: 0.78rem;
+    margin-bottom: 0.35rem;
+}
+
+.sa-train-progress-bar {
+    height: 0.35rem;
+    border-radius: 999px;
+    background: color-mix(in srgb, currentColor 12%, transparent);
+    overflow: hidden;
+}
+
+.sa-train-progress-fill {
+    height: 100%;
+    width: 0%;
+    background: color-mix(in srgb, #4caf50 70%, currentColor);
+    transition: width 0.3s ease;
+}
+
+.sa-train-log {
+    max-height: 14rem;
+    overflow: auto;
+    font-size: 0.72rem;
+    margin: 0.35rem 0 0;
+    padding: 0.45rem;
+    border-radius: 0.35rem;
+    background: color-mix(in srgb, #000 22%, transparent);
+}
+
+.sa-train-models-list {
+    display: flex;
+    flex-direction: column;
+    gap: 0.25rem;
+}
+
+.sa-root-training-lock .sa-composer,
+.sa-root-training-lock #sa_btn_send,
+.sa-root-training-lock #sa_btn_build_gen {
+    pointer-events: none;
+    opacity: 0.45;
 }
diff --git a/AssistentChatPipeline.cs b/AssistentChatPipeline.cs
index a2eec2d..4170e60 100644
--- a/AssistentChatPipeline.cs
+++ b/AssistentChatPipeline.cs
@@ -185,6 +185,7 @@ public partial class SwarmAssistentExtension
             {
                 AssistentMemory.RetrieveOptions opt = MemoryRetrieveOptions(pid);
                 hits = await Memory.RetrieveAsync(root, retrieveQuery, opt.TopK, embed, Config.PersonaExtendsChain(pid), opt);
+                hits = FilterHeardHitsIfDisabled(hits);
             }
             catch (Exception ex)
             {
@@ -192,7 +193,7 @@ public partial class SwarmAssistentExtension
             }
         }
 
-        string enrichedContext = InjectMemoryHits(contextJson, hits);
+        string enrichedContext = InjectMemoryHits(contextJson, hits, pid);
         if (!slimDebug)
         {
             enrichedContext = EnrichPersonaContext(enrichedContext, pid, packName);
@@ -338,24 +339,51 @@ public partial class SwarmAssistentExtension
     AssistentMemory.RetrieveOptions MemoryRetrieveOptions(string pid)
     {
         JObject a = Config.LoadAssistant(pid) ?? new JObject();
+        JObject agent = Config.LoadTrainingAgent();
         AssistentMemory.RetrieveOptions opt = new()
         {
             TopK = a["memory_top_k"]?.Value<int?>() ?? 8,
             MinScore = a["memory_min_score"]?.Value<float?>() ?? 0.32f,
             ApplyQuotas = true,
         };
-        if (a["memory_quotas"] is JObject quotas)
+        Dictionary<string, int> quotas = AssistentMemory.CopyDefaultQuotas();
+        if (a["memory_quotas"] is JObject qOverrides)
         {
-            Dictionary<string, int> d = new(StringComparer.OrdinalIgnoreCase);
-            foreach (JProperty p in quotas.Properties())
+            foreach (JProperty p in qOverrides.Properties())
             {
-                d[p.Name] = p.Value?.Value<int?>() ?? 2;
+                quotas[p.Name] = p.Value?.Value<int?>() ?? 2;
             }
-            opt.Quotas = d;
         }
+        if (agent["enabled"]?.Value<bool?>() != false)
+        {
+            quotas["heard"] = agent["heard_quota"]?.Value<int?>() ?? 3;
+        }
+        else
+        {
+            quotas.Remove("heard");
+        }
+        opt.Quotas = quotas;
         return opt;
     }
 
+    JArray FilterHeardHitsIfDisabled(JArray hits)
+    {
+        if (Config.LoadTrainingAgent()["enabled"]?.Value<bool?>() != false)
+        {
+            return hits;
+        }
+        JArray filtered = [];
+        foreach (JToken t in hits ?? [])
+        {
+            if (t is JObject ho && string.Equals(ho["kind"]?.ToString(), AssistentMemory.HeardKind, StringComparison.OrdinalIgnoreCase))
+            {
+                continue;
+            }
+            filtered.Add(t);
+        }
+        return filtered;
+    }
+
     async Task<(string follow, JArray civitai)> RunToolHop(
         Session session,
         string root,
@@ -413,6 +441,38 @@ public partial class SwarmAssistentExtension
                 + rows.ToString(Newtonsoft.Json.Formatting.None) + "\n```",
                 null);
         }
+        if (tool == "heard_search")
+        {
+            if (Config.LoadTrainingAgent()["enabled"]?.Value<bool?>() == false)
+            {
+                return ("heard_search disabled in training-agent settings.", null);
+            }
+            string q = patch["memory_query"]?.ToString()?.Trim()
+                ?? patch["search_query"]?.ToString()?.Trim()
+                ?? ExtractMemoryQuery(patch);
+            if (string.IsNullOrWhiteSpace(q) || !hopDone.Add("heard:" + q))
+            {
+                return (null, null);
+            }
+            int topK = Config.LoadTrainingAgent()["heard_quota"]?.Value<int?>() ?? 3;
+            JArray rows = await Memory.SearchAsync(root, q, AssistentMemory.HeardKind, topK, embed, chain);
+            JArray examples = [];
+            foreach (JToken t in rows)
+            {
+                if (t is JObject ho)
+                {
+                    JObject ex = Memory.BuildHeardExampleFromHit(ho, chain);
+                    if (ex is not null)
+                    {
+                        examples.Add(ex);
+                    }
+                }
+            }
+            return (
+                "heard_search — curated dialogue examples the assistant learned (style/reference, not hard rules). Use tone and structure; omit heard_search unless you need more examples.\n```json\n"
+                + examples.ToString(Newtonsoft.Json.Formatting.None) + "\n```",
+                null);
+        }
         if (tool == "lookup_tags")
         {
             string q = ExtractTagQuery(patch);
@@ -599,7 +659,7 @@ public partial class SwarmAssistentExtension
         return outRows;
     }
 
-    string InjectMemoryHits(string contextJson, JArray hits, JObject exact = null)
+    string InjectMemoryHits(string contextJson, JArray hits, string personaId = null)
     {
         JObject ctx;
         try
@@ -614,7 +674,7 @@ public partial class SwarmAssistentExtension
         int hitChars = 240;
         try
         {
-            string pidHit = AssistentConfig.SafeId(ctx["persona"]?.ToString()) ?? Config?.DefaultPersonaId() ?? "neutral";
+            string pidHit = AssistentConfig.SafeId(ctx["persona"]?.ToString()) ?? personaId ?? Config?.DefaultPersonaId() ?? "neutral";
             hitChars = Config?.LoadAssistant(pidHit)?["memory_hit_chars"]?.Value<int?>() ?? 240;
         }
         catch
@@ -623,7 +683,11 @@ public partial class SwarmAssistentExtension
         }
         hitChars = Math.Max(80, Math.Min(hitChars, 800));
 
+        string pid = AssistentConfig.SafeId(ctx["persona"]?.ToString()) ?? personaId ?? Config?.DefaultPersonaId() ?? "neutral";
+        IEnumerable<string> chain = Config?.PersonaExtendsChain(pid) ?? [];
+
         JArray clippedHits = [];
+        JArray heardExamples = [];
         foreach (JToken t in hits ?? [])
         {
             if (t is not JObject ho)
@@ -634,6 +698,15 @@ public partial class SwarmAssistentExtension
             {
                 continue;
             }
+            if (string.Equals(ho["kind"]?.ToString(), AssistentMemory.HeardKind, StringComparison.OrdinalIgnoreCase))
+            {
+                JObject ex = Memory?.BuildHeardExampleFromHit(ho, chain);
+                if (ex is not null)
+                {
+                    heardExamples.Add(ex);
+                }
+                continue;
+            }
             JObject copy = (JObject)ho.DeepClone();
             string text = copy["text"]?.ToString() ?? "";
             if (text.Length > hitChars)
@@ -644,6 +717,14 @@ public partial class SwarmAssistentExtension
             clippedHits.Add(copy);
         }
         ctx["memory_hits"] = clippedHits;
+        if (heardExamples.Count > 0)
+        {
+            ctx["heard_examples"] = heardExamples;
+        }
+        else
+        {
+            ctx.Remove("heard_examples");
+        }
         ctx.Remove("taste_profile");
         ctx.Remove("enabled_loras"); // alias of selected_loras — do not double-feed
         try
diff --git a/AssistentConfig.cs b/AssistentConfig.cs
index 4777dfa..cce693e 100644
--- a/AssistentConfig.cs
+++ b/AssistentConfig.cs
@@ -1380,6 +1380,40 @@ public sealed class AssistentConfig
         }
     }
 
+    public JObject LoadTrainingRunner()
+        => TryReadJson(Path.Combine(_overlayRoot, "training-runner.json")) ?? new JObject();
+
+    public void SaveTrainingRunner(JObject settings)
+    {
+        lock (_lock)
+        {
+            Directory.CreateDirectory(_overlayRoot);
+            string path = Path.Combine(_overlayRoot, "training-runner.json");
+            JObject merged = DeepMerge(LoadTrainingRunner(), settings ?? new JObject());
+            File.WriteAllText(path, merged.ToString(Newtonsoft.Json.Formatting.Indented), Encoding.UTF8);
+        }
+    }
+
+    public JObject LoadTrainingAgent()
+        => TryReadJson(Path.Combine(_overlayRoot, "training-agent.json"))
+           ?? new JObject
+           {
+               ["enabled"] = true,
+               ["auto_link_on_approve"] = true,
+               ["heard_quota"] = 3,
+           };
+
+    public void SaveTrainingAgent(JObject settings)
+    {
+        lock (_lock)
+        {
+            Directory.CreateDirectory(_overlayRoot);
+            string path = Path.Combine(_overlayRoot, "training-agent.json");
+            JObject merged = DeepMerge(LoadTrainingAgent(), settings ?? new JObject());
+            File.WriteAllText(path, merged.ToString(Newtonsoft.Json.Formatting.Indented), Encoding.UTF8);
+        }
+    }
+
     public JObject LoadOllamaRoles()
     {
         return TryReadJson(Path.Combine(_overlayRoot, "ollama-roles.json"))
diff --git a/AssistentHuggingFace.cs b/AssistentHuggingFace.cs
new file mode 100644
index 0000000..e75dd5d
--- /dev/null
+++ b/AssistentHuggingFace.cs
@@ -0,0 +1,483 @@
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Net.Http;
+using System.Text;
+using System.Text.RegularExpressions;
+using System.Threading.Tasks;
+using Newtonsoft.Json.Linq;
+using SwarmUI.Accounts;
+using SwarmUI.Utils;
+
+namespace Mrleo1nid.SwarmAssistent;
+
+/// <summary>Hugging Face datasets: search, compatibility gate, preview, import.</summary>
+public partial class SwarmAssistentExtension
+{
+    static readonly Regex HfRepoIdRe = new(@"^[A-Za-z0-9][A-Za-z0-9._-]{0,95}(/[A-Za-z0-9][A-Za-z0-9._-]{0,95})?$", RegexOptions.Compiled);
+
+    const string HfDatasetsServer = "https://datasets-server.huggingface.co";
+    const string HfHubApi = "https://huggingface.co/api/datasets";
+
+    static string GetHfToken(Session session)
+        => session?.User?.GetGenericData("huggingface_api", "key")?.Trim();
+
+    static HttpRequestMessage HfRequest(string url, Session session)
+    {
+        HttpRequestMessage req = new(HttpMethod.Get, url);
+        string token = GetHfToken(session);
+        if (!string.IsNullOrWhiteSpace(token))
+        {
+            req.Headers.Authorization = new System.Net.Http.Headers.AuthenticationHeaderValue("Bearer", token);
+        }
+        return req;
+    }
+
+    /// <summary>Normalize owner/name or HF datasets URL. Returns null when invalid.</summary>
+    public static string NormalizeHfDatasetId(string raw)
+    {
+        string s = (raw ?? "").Trim();
+        if (string.IsNullOrWhiteSpace(s))
+        {
+            return null;
+        }
+        if (s.StartsWith("http://", StringComparison.OrdinalIgnoreCase) || s.StartsWith("https://", StringComparison.OrdinalIgnoreCase))
+        {
+            if (!Uri.TryCreate(s, UriKind.Absolute, out Uri uri))
+            {
+                return null;
+            }
+            if (!string.Equals(uri.Host, "huggingface.co", StringComparison.OrdinalIgnoreCase))
+            {
+                return null;
+            }
+            string[] parts = uri.AbsolutePath.Trim('/').Split('/');
+            if (parts.Length < 2 || !string.Equals(parts[0], "datasets", StringComparison.OrdinalIgnoreCase))
+            {
+                return null;
+            }
+            s = $"{parts[1]}/{parts[2]}";
+        }
+        s = s.Trim().TrimEnd('/');
+        return HfRepoIdRe.IsMatch(s) ? s : null;
+    }
+
+    public async Task<JObject> AssistentSearchHfDatasets(Session session, string q = null, int limit = 20, bool show_all = false)
+    {
+        int take = Math.Clamp(limit, 1, 50);
+        string search = (q ?? "").Trim();
+        StringBuilder url = new($"{HfHubApi}?limit={take}&full=true");
+        url.Append("&filter=task_categories:text-generation");
+        url.Append("&filter=modality:text");
+        if (!string.IsNullOrWhiteSpace(search))
+        {
+            url.Append("&search=").Append(Uri.EscapeDataString(search));
+        }
+        try
+        {
+            using HttpRequestMessage req = HfRequest(url.ToString(), session);
+            using HttpResponseMessage resp = await HttpClient.SendAsync(req);
+            string body = await resp.Content.ReadAsStringAsync();
+            if (!resp.IsSuccessStatusCode)
+            {
+                return new JObject { ["error"] = $"HF search HTTP {(int)resp.StatusCode}: {Clip(body, 300)}" };
+            }
+            JArray rawList = JArray.Parse(body);
+            JArray results = [];
+            foreach (JToken item in rawList)
+            {
+                if (item is not JObject o)
+                {
+                    continue;
+                }
+                string id = o["id"]?.ToString();
+                if (string.IsNullOrWhiteSpace(id))
+                {
+                    continue;
+                }
+                JObject check = await CheckHfDatasetInternal(session, id, useCache: true);
+                string gate = check["gate"]?.ToString() ?? "rejected";
+                if (!show_all && gate == "rejected")
+                {
+                    continue;
+                }
+                results.Add(new JObject
+                {
+                    ["id"] = id,
+                    ["title"] = o["id"],
+                    ["downloads"] = o["downloads"],
+                    ["gate"] = gate,
+                    ["reason"] = check["reason"],
+                    ["schema"] = check["schema"],
+                });
+            }
+            return new JObject { ["success"] = true, ["results"] = results, ["has_hf_token"] = !string.IsNullOrWhiteSpace(GetHfToken(session)) };
+        }
+        catch (Exception ex)
+        {
+            return new JObject { ["error"] = $"HF search: {ex.Message}" };
+        }
+    }
+
+    public async Task<JObject> AssistentCheckHfDataset(Session session, string dataset)
+    {
+        string id = NormalizeHfDatasetId(dataset);
+        if (id is null)
+        {
+            return new JObject { ["success"] = false, ["error"] = "Нужен owner/name или ссылка huggingface.co/datasets/…" };
+        }
+        JObject check = await CheckHfDatasetInternal(session, id, useCache: false);
+        check["success"] = check["gate"]?.ToString() != "rejected";
+        check["id"] = id;
+        return check;
+    }
+
+    async Task<JObject> CheckHfDatasetInternal(Session session, string datasetId, bool useCache)
+    {
+        string cacheKey = $"hf:{datasetId}";
+        if (useCache)
+        {
+            JObject cached = Memory.GetKvObject(KvHfDatasetCache)?[cacheKey] as JObject;
+            if (cached is not null && cached["checked_at"]?.Value<long?>() > DateTimeOffset.UtcNow.AddHours(-6).ToUnixTimeMilliseconds())
+            {
+                return cached;
+            }
+        }
+        JObject result = new() { ["id"] = datasetId, ["gate"] = "rejected", ["reason"] = "unknown" };
+        try
+        {
+            using HttpRequestMessage validReq = HfRequest($"{HfDatasetsServer}/is-valid?dataset={Uri.EscapeDataString(datasetId)}", session);
+            using HttpResponseMessage validResp = await HttpClient.SendAsync(validReq);
+            string validBody = await validResp.Content.ReadAsStringAsync();
+            if (!validResp.IsSuccessStatusCode)
+            {
+                result["reason"] = $"is-valid HTTP {(int)validResp.StatusCode}";
+                return CacheHfCheck(cacheKey, result);
+            }
+            JObject valid = JObject.Parse(validBody);
+            bool viewer = valid["viewer"]?.Value<bool?>() == true;
+            bool preview = valid["preview"]?.Value<bool?>() == true;
+            if (!viewer && !preview)
+            {
+                result["reason"] = "Набор не читается через datasets (viewer/preview = false)";
+                return CacheHfCheck(cacheKey, result);
+            }
+            using HttpRequestMessage splitReq = HfRequest($"{HfDatasetsServer}/splits?dataset={Uri.EscapeDataString(datasetId)}", session);
+            using HttpResponseMessage splitResp = await HttpClient.SendAsync(splitReq);
+            string splitBody = await splitResp.Content.ReadAsStringAsync();
+            if (!splitResp.IsSuccessStatusCode)
+            {
+                result["reason"] = $"splits HTTP {(int)splitResp.StatusCode}";
+                return CacheHfCheck(cacheKey, result);
+            }
+            JArray splits = JObject.Parse(splitBody)["splits"] as JArray ?? [];
+            if (splits.Count == 0)
+            {
+                result["reason"] = "Нет splits";
+                return CacheHfCheck(cacheKey, result);
+            }
+            JObject first = splits[0] as JObject;
+            string config = first?["config"]?.ToString() ?? "default";
+            string split = first?["split"]?.ToString() ?? "train";
+            using HttpRequestMessage rowsReq = HfRequest($"{HfDatasetsServer}/first-rows?dataset={Uri.EscapeDataString(datasetId)}&config={Uri.EscapeDataString(config)}&split={Uri.EscapeDataString(split)}", session);
+            using HttpResponseMessage rowsResp = await HttpClient.SendAsync(rowsReq);
+            string rowsBody = await rowsResp.Content.ReadAsStringAsync();
+            if (!rowsResp.IsSuccessStatusCode)
+            {
+                result["reason"] = $"first-rows HTTP {(int)rowsResp.StatusCode}: {Clip(rowsBody, 200)}";
+                return CacheHfCheck(cacheKey, result);
+            }
+            JObject rowsData = JObject.Parse(rowsBody);
+            JObject features = rowsData["features"] as JObject;
+            (string gate, string reason, JObject schema) = ClassifyHfFeatures(features);
+            result["gate"] = gate;
+            result["reason"] = reason;
+            result["schema"] = schema;
+            result["config"] = config;
+            result["split"] = split;
+            result["features"] = features;
+            result["sample_rows"] = rowsData["rows"];
+            result["runner_only"] = HasHugeSizeTag(datasetId);
+            return CacheHfCheck(cacheKey, result);
+        }
+        catch (Exception ex)
+        {
+            result["reason"] = ex.Message;
+            return CacheHfCheck(cacheKey, result);
+        }
+    }
+
+    static bool HasHugeSizeTag(string datasetId) => false;
+
+    JObject CacheHfCheck(string cacheKey, JObject result)
+    {
+        result["checked_at"] = DateTimeOffset.UtcNow.ToUnixTimeMilliseconds();
+        try
+        {
+            JObject bag = Memory.GetKvObject(KvHfDatasetCache) ?? new JObject();
+            bag[cacheKey] = result;
+            Memory.SetKvObject(KvHfDatasetCache, bag);
+        }
+        catch (Exception ex)
+        {
+            Logs.Debug($"CacheHfCheck: {ex.Message}");
+        }
+        return result;
+    }
+
+    static (string gate, string reason, JObject schema) ClassifyHfFeatures(JObject features)
+    {
+        if (features is null || !features.Properties().Any())
+        {
+            return ("rejected", "Нет колонок (features пуст)", null);
+        }
+        HashSet<string> names = new(StringComparer.OrdinalIgnoreCase);
+        foreach (JProperty p in features.Properties())
+        {
+            names.Add(p.Name);
+            JToken dtype = p.Value?["dtype"] ?? p.Value?["type"];
+            string dt = dtype?.ToString() ?? "";
+            if (dt.Contains("image", StringComparison.OrdinalIgnoreCase)
+                || dt.Contains("audio", StringComparison.OrdinalIgnoreCase)
+                || dt.Contains("video", StringComparison.OrdinalIgnoreCase))
+            {
+                return ("rejected", $"Мультимодальная колонка {p.Name} ({dt})", null);
+            }
+        }
+        if (names.Contains("chosen") && names.Contains("rejected"))
+        {
+            return ("rejected", "DPO-набор (chosen/rejected) — не для SFT", null);
+        }
+        if (names.Count == 1 && names.Contains("text"))
+        {
+            return ("rejected", "Предобучение (одна колонка text), не диалоги", null);
+        }
+        if (names.Contains("messages"))
+        {
+            return ("ok", "OpenAI messages", new JObject { ["kind"] = "messages" });
+        }
+        if (names.Contains("conversations"))
+        {
+            return ("ok", "ShareGPT conversations", new JObject { ["kind"] = "conversations" });
+        }
+        if (names.Contains("instruction") && names.Contains("output"))
+        {
+            return ("ok", "Alpaca instruction/output", new JObject { ["kind"] = "alpaca" });
+        }
+        if (names.Contains("prompt") && (names.Contains("response") || names.Contains("completion") || names.Contains("answer")))
+        {
+            string respCol = names.Contains("response") ? "response" : names.Contains("completion") ? "completion" : "answer";
+            return ("ok", "prompt/response", new JObject { ["kind"] = "prompt_response", ["response_col"] = respCol });
+        }
+        if (names.Contains("question") && names.Contains("answer"))
+        {
+            return ("ok", "question/answer", new JObject { ["kind"] = "qa" });
+        }
+        List<string> stringCols = [];
+        foreach (JProperty p in features.Properties())
+        {
+            JToken dtype = p.Value?["dtype"] ?? p.Value?["type"];
+            string dt = dtype?.ToString() ?? "";
+            if (dt.Contains("string", StringComparison.OrdinalIgnoreCase) || dt == "value")
+            {
+                stringCols.Add(p.Name);
+            }
+        }
+        if (stringCols.Count >= 2)
+        {
+            return ("mapping", "Нужен ручной маппинг колонок", new JObject
+            {
+                ["kind"] = "custom",
+                ["columns"] = new JArray(stringCols),
+            });
+        }
+        return ("rejected", "Схема не подходит для SFT", null);
+    }
+
+    public async Task<JObject> AssistentPreviewHfDataset(Session session, string dataset, string config = null, string split = null)
+    {
+        string id = NormalizeHfDatasetId(dataset);
+        if (id is null)
+        {
+            return new JObject { ["error"] = "invalid dataset id" };
+        }
+        JObject check = await CheckHfDatasetInternal(session, id, useCache: true);
+        if (check["gate"]?.ToString() == "rejected")
+        {
+            return new JObject { ["error"] = check["reason"]?.ToString() ?? "rejected", ["check"] = check };
+        }
+        return new JObject { ["success"] = true, ["check"] = check };
+    }
+
+    public async Task<JObject> AssistentImportHfDataset(Session session, JObject raw)
+    {
+        string dataset = raw?["dataset"]?.ToString();
+        int limit = raw?["limit"]?.Value<int?>() ?? 200;
+        JObject mapping = raw?["mapping"] as JObject;
+        string id = NormalizeHfDatasetId(dataset);
+        if (id is null)
+        {
+            return new JObject { ["error"] = "invalid dataset id" };
+        }
+        JObject check = await CheckHfDatasetInternal(session, id, useCache: true);
+        string gate = check["gate"]?.ToString();
+        if (gate == "rejected")
+        {
+            return new JObject { ["error"] = check["reason"]?.ToString() ?? "rejected" };
+        }
+        if (gate == "mapping" && (mapping is null || mapping.Count == 0))
+        {
+            return new JObject { ["error"] = "Нужен маппинг колонок", ["check"] = check };
+        }
+        int take = Math.Clamp(limit, 1, 5000);
+        JArray rows = [];
+        string config = check["config"]?.ToString() ?? "default";
+        string split = check["split"]?.ToString() ?? "train";
+        int offset = 0;
+        while (rows.Count < take)
+        {
+            int chunk = Math.Min(100, take - rows.Count);
+            using HttpRequestMessage rowsReq = HfRequest($"{HfDatasetsServer}/rows?dataset={Uri.EscapeDataString(id)}&config={Uri.EscapeDataString(config)}&split={Uri.EscapeDataString(split)}&offset={offset}&length={chunk}", session);
+            using HttpResponseMessage rowsResp = await HttpClient.SendAsync(rowsReq);
+            string rowsBody = await rowsResp.Content.ReadAsStringAsync();
+            if (!rowsResp.IsSuccessStatusCode)
+            {
+                break;
+            }
+            JObject parsed = JObject.Parse(rowsBody);
+            JArray batch = parsed["rows"] as JArray ?? [];
+            if (batch.Count == 0)
+            {
+                break;
+            }
+            foreach (JToken t in batch)
+            {
+                rows.Add(t);
+            }
+            offset += batch.Count;
+            if (batch.Count < chunk)
+            {
+                break;
+            }
+        }
+        if (rows.Count == 0)
+        {
+            rows = check["sample_rows"] as JArray ?? [];
+        }
+        int imported = 0;
+        foreach (JToken rowTok in rows.Take(take))
+        {
+            if (rowTok is not JObject row)
+            {
+                continue;
+            }
+            JObject rowData = row["row"] as JObject ?? row;
+            JArray messages = ConvertHfRowToMessages(rowData, check["schema"] as JObject, mapping);
+            if (messages is null || messages.Count == 0)
+            {
+                continue;
+            }
+            Memory.UpsertTrainSample(new JObject
+            {
+                ["source"] = "hf",
+                ["hf_repo"] = id,
+                ["messages"] = messages,
+                ["status"] = "draft",
+            });
+            imported++;
+        }
+        if (imported == 0 && check["runner_only"]?.Value<bool?>() == true)
+        {
+            return new JObject { ["success"] = true, ["imported"] = 0, ["runner_only"] = true, ["id"] = id, ["note"] = "Большой набор — используй HF id в QLoRA-раннере" };
+        }
+        return new JObject { ["success"] = true, ["imported"] = imported, ["id"] = id };
+    }
+
+    static JArray ConvertHfRowToMessages(JObject row, JObject schema, JObject mapping)
+    {
+        string kind = schema?["kind"]?.ToString() ?? mapping?["kind"]?.ToString();
+        if (kind == "messages" && row["messages"] is JArray msgs)
+        {
+            return NormalizeMessagesArray(msgs);
+        }
+        if (kind == "conversations" && row["conversations"] is JArray conv)
+        {
+            JArray outArr = [];
+            foreach (JToken c in conv)
+            {
+                if (c is not JObject co)
+                {
+                    continue;
+                }
+                string from = co["from"]?.ToString() ?? "";
+                string val = co["value"]?.ToString() ?? "";
+                string role = from is "human" or "user" ? "user" : from is "gpt" or "assistant" or "chatgpt" ? "assistant" : "user";
+                outArr.Add(new JObject { ["role"] = role, ["content"] = val });
+            }
+            return outArr.Count > 0 ? outArr : null;
+        }
+        if (kind == "alpaca")
+        {
+            string instr = row["instruction"]?.ToString() ?? "";
+            string inp = row["input"]?.ToString() ?? "";
+            string output = row["output"]?.ToString() ?? "";
+            string user = string.IsNullOrWhiteSpace(inp) ? instr : $"{instr}\n{inp}";
+            return new JArray
+            {
+                new JObject { ["role"] = "user", ["content"] = user },
+                new JObject { ["role"] = "assistant", ["content"] = output },
+            };
+        }
+        if (kind == "prompt_response")
+        {
+            string respCol = schema?["response_col"]?.ToString() ?? "response";
+            return new JArray
+            {
+                new JObject { ["role"] = "user", ["content"] = row["prompt"]?.ToString() ?? "" },
+                new JObject { ["role"] = "assistant", ["content"] = row[respCol]?.ToString() ?? "" },
+            };
+        }
+        if (kind == "qa")
+        {
+            return new JArray
+            {
+                new JObject { ["role"] = "user", ["content"] = row["question"]?.ToString() ?? "" },
+                new JObject { ["role"] = "assistant", ["content"] = row["answer"]?.ToString() ?? "" },
+            };
+        }
+        if (kind == "custom" && mapping is not null)
+        {
+            string userCol = mapping["user_col"]?.ToString();
+            string asstCol = mapping["assistant_col"]?.ToString();
+            if (!string.IsNullOrWhiteSpace(userCol) && !string.IsNullOrWhiteSpace(asstCol))
+            {
+                return new JArray
+                {
+                    new JObject { ["role"] = "user", ["content"] = row[userCol]?.ToString() ?? "" },
+                    new JObject { ["role"] = "assistant", ["content"] = row[asstCol]?.ToString() ?? "" },
+                };
+            }
+        }
+        return null;
+    }
+
+    static JArray NormalizeMessagesArray(JArray msgs)
+    {
+        JArray outArr = [];
+        foreach (JToken m in msgs)
+        {
+            if (m is not JObject mo)
+            {
+                continue;
+            }
+            string role = mo["role"]?.ToString() ?? "user";
+            string content = mo["content"]?.ToString() ?? mo["text"]?.ToString() ?? "";
+            if (string.IsNullOrWhiteSpace(content))
+            {
+                continue;
+            }
+            outArr.Add(new JObject { ["role"] = role, ["content"] = content });
+        }
+        return outArr.Count > 0 ? outArr : null;
+    }
+}
diff --git a/AssistentMemory.Heard.cs b/AssistentMemory.Heard.cs
new file mode 100644
index 0000000..bd462cf
--- /dev/null
+++ b/AssistentMemory.Heard.cs
@@ -0,0 +1,189 @@
+using System;
+using System.Collections.Generic;
+using System.Text;
+using System.Threading.Tasks;
+using Microsoft.Data.Sqlite;
+using Newtonsoft.Json.Linq;
+using SwarmUI.Utils;
+
+namespace Mrleo1nid.SwarmAssistent;
+
+/// <summary>Train samples linked to the agent as retrievable &quot;heard&quot; dialogue examples.</summary>
+public sealed partial class AssistentMemory
+{
+    public const string HeardKind = "heard";
+    public const string HeardSource = "train";
+
+    public static string FormatHeardEmbedText(JArray messages, string pack, string persona)
+    {
+        StringBuilder sb = new();
+        if (!string.IsNullOrWhiteSpace(pack))
+        {
+            sb.AppendLine($"pack: {pack.Trim()}");
+        }
+        if (!string.IsNullOrWhiteSpace(persona))
+        {
+            sb.AppendLine($"persona: {persona.Trim()}");
+        }
+        foreach (JToken t in messages ?? [])
+        {
+            if (t is not JObject m)
+            {
+                continue;
+            }
+            string role = m["role"]?.ToString() ?? "user";
+            string content = m["content"]?.ToString() ?? "";
+            if (string.IsNullOrWhiteSpace(content))
+            {
+                continue;
+            }
+            sb.AppendLine($"{role}: {content.Trim()}");
+        }
+        return sb.ToString().Trim();
+    }
+
+    public void SetTrainSampleAgentLinked(string id, bool linked)
+    {
+        if (string.IsNullOrWhiteSpace(id))
+        {
+            return;
+        }
+        lock (_lock)
+        {
+            EnsureOpen();
+            if (!HasColumn("train_samples", "agent_linked"))
+            {
+                return;
+            }
+            using SqliteCommand cmd = _conn.CreateCommand();
+            cmd.CommandText = "UPDATE train_samples SET agent_linked = $v, updated_at = $u WHERE id = $id";
+            cmd.Parameters.AddWithValue("$v", linked ? 1 : 0);
+            cmd.Parameters.AddWithValue("$u", DateTimeOffset.UtcNow.ToUnixTimeMilliseconds());
+            cmd.Parameters.AddWithValue("$id", id.Trim());
+            cmd.ExecuteNonQuery();
+        }
+    }
+
+    public int CountAgentLinkedTrainSamples()
+    {
+        lock (_lock)
+        {
+            EnsureOpen();
+            if (!HasColumn("train_samples", "agent_linked"))
+            {
+                return 0;
+            }
+            using SqliteCommand cmd = _conn.CreateCommand();
+            cmd.CommandText = "SELECT COUNT(*) FROM train_samples WHERE agent_linked = 1";
+            return Convert.ToInt32(cmd.ExecuteScalar());
+        }
+    }
+
+    public async Task<bool> LinkTrainSampleToAgentAsync(string baseUrl, JObject sample, string embedModel)
+    {
+        if (sample is null)
+        {
+            return false;
+        }
+        string id = sample["id"]?.ToString()?.Trim();
+        JArray messages = sample["messages"] as JArray ?? [];
+        if (string.IsNullOrWhiteSpace(id) || messages.Count == 0)
+        {
+            return false;
+        }
+        string status = sample["status"]?.ToString() ?? "draft";
+        if (!string.Equals(status, "approved", StringComparison.OrdinalIgnoreCase))
+        {
+            return false;
+        }
+        string persona = NormalizePersona(sample["persona"]?.ToString());
+        string pack = sample["pack"]?.ToString()?.Trim() ?? "";
+        string text = FormatHeardEmbedText(messages, pack, persona);
+        if (string.IsNullOrWhiteSpace(text))
+        {
+            return false;
+        }
+        JObject meta = new()
+        {
+            ["train_sample_id"] = id,
+            ["pack"] = pack,
+            ["messages"] = messages,
+            ["source_type"] = sample["source"]?.ToString() ?? "manual",
+        };
+        if (!string.IsNullOrWhiteSpace(sample["chat_id"]?.ToString()))
+        {
+            meta["chat_id"] = sample["chat_id"]?.ToString();
+        }
+        float[] vec = await EmbedAsync(baseUrl, embedModel, text);
+        Upsert(HeardKind, id, text, HeardSource, meta, vec, persona);
+        SetTrainSampleAgentLinked(id, true);
+        return true;
+    }
+
+    public void UnlinkTrainSampleFromAgent(JObject sample)
+    {
+        if (sample is null)
+        {
+            return;
+        }
+        string id = sample["id"]?.ToString()?.Trim();
+        if (string.IsNullOrWhiteSpace(id))
+        {
+            return;
+        }
+        string persona = NormalizePersona(sample["persona"]?.ToString());
+        Forget(HeardKind, id, HeardSource, persona);
+        if (persona != SharedPersona)
+        {
+            Forget(HeardKind, id, HeardSource, SharedPersona);
+        }
+        SetTrainSampleAgentLinked(id, false);
+    }
+
+    public JObject BuildHeardExampleFromHit(JObject hit, IEnumerable<string> personaChain = null)
+    {
+        if (hit is null)
+        {
+            return null;
+        }
+        string key = hit["key"]?.ToString() ?? "";
+        if (string.IsNullOrWhiteSpace(key))
+        {
+            return null;
+        }
+        JObject row = Get(HeardKind, key, personaChain);
+        JObject ex = new()
+        {
+            ["id"] = key,
+            ["score"] = hit["score"],
+            ["persona"] = hit["persona"],
+            ["source"] = hit["source"],
+        };
+        JObject meta = null;
+        try
+        {
+            string metaRaw = row?["meta_json"]?.ToString();
+            if (!string.IsNullOrWhiteSpace(metaRaw))
+            {
+                meta = JObject.Parse(metaRaw);
+            }
+        }
+        catch
+        {
+            // ignore
+        }
+        if (meta?["pack"] is not null)
+        {
+            ex["pack"] = meta["pack"];
+        }
+        if (meta?["messages"] is JArray msgs && msgs.Count > 0)
+        {
+            ex["messages"] = msgs;
+        }
+        else
+        {
+            ex["text"] = hit["text"]?.ToString() ?? row?["text"]?.ToString() ?? "";
+        }
+        return ex;
+    }
+}
diff --git a/AssistentMemory.Training.cs b/AssistentMemory.Training.cs
new file mode 100644
index 0000000..08b7518
--- /dev/null
+++ b/AssistentMemory.Training.cs
@@ -0,0 +1,345 @@
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using Microsoft.Data.Sqlite;
+using Newtonsoft.Json.Linq;
+using SwarmUI.Utils;
+
+namespace Mrleo1nid.SwarmAssistent;
+
+/// <summary>Training datasets, samples, and job metadata in assistent.sqlite.</summary>
+public sealed partial class AssistentMemory
+{
+    public const string KvHfDatasetCache = "hf_dataset_cache";
+
+    void EnsureTrainingSchema()
+    {
+        Exec(
+            """
+            CREATE TABLE IF NOT EXISTS train_datasets (
+              id TEXT PRIMARY KEY,
+              title TEXT NOT NULL DEFAULT '',
+              created_at INTEGER NOT NULL,
+              updated_at INTEGER NOT NULL,
+              meta_json TEXT
+            );
+            CREATE TABLE IF NOT EXISTS train_samples (
+              id TEXT PRIMARY KEY,
+              dataset_id TEXT NOT NULL DEFAULT 'default',
+              source TEXT NOT NULL DEFAULT 'manual',
+              chat_id TEXT,
+              persona TEXT,
+              pack TEXT,
+              hf_repo TEXT,
+              messages_json TEXT NOT NULL DEFAULT '[]',
+              status TEXT NOT NULL DEFAULT 'draft',
+              created_at INTEGER NOT NULL,
+              updated_at INTEGER NOT NULL,
+              FOREIGN KEY(dataset_id) REFERENCES train_datasets(id) ON DELETE CASCADE
+            );
+            CREATE INDEX IF NOT EXISTS idx_train_samples_status ON train_samples(status);
+            CREATE INDEX IF NOT EXISTS idx_train_samples_dataset ON train_samples(dataset_id);
+            CREATE TABLE IF NOT EXISTS train_jobs (
+              id TEXT PRIMARY KEY,
+              kind TEXT NOT NULL,
+              status TEXT NOT NULL DEFAULT 'pending',
+              config_json TEXT,
+              base_model TEXT,
+              output_name TEXT,
+              log_path TEXT,
+              progress_json TEXT,
+              created_at INTEGER NOT NULL,
+              updated_at INTEGER NOT NULL,
+              finished_at INTEGER
+            );
+            CREATE INDEX IF NOT EXISTS idx_train_jobs_status ON train_jobs(status);
+            """);
+        if (!HasColumn("train_samples", "agent_linked"))
+        {
+            Exec("ALTER TABLE train_samples ADD COLUMN agent_linked INTEGER NOT NULL DEFAULT 0");
+        }
+        using SqliteCommand cmd = _conn.CreateCommand();
+        cmd.CommandText = "INSERT OR IGNORE INTO train_datasets(id, title, created_at, updated_at) VALUES('default', 'Default', $u, $u)";
+        cmd.Parameters.AddWithValue("$u", DateTimeOffset.UtcNow.ToUnixTimeMilliseconds());
+        cmd.ExecuteNonQuery();
+    }
+
+    public List<JObject> ListTrainSamples(string status = null, string persona = null, string datasetId = null, int limit = 200)
+    {
+        lock (_lock)
+        {
+            EnsureOpen();
+            int take = Math.Clamp(limit, 1, 2000);
+            List<string> where = [];
+            if (!string.IsNullOrWhiteSpace(status) && !string.Equals(status, "all", StringComparison.OrdinalIgnoreCase))
+            {
+                where.Add("status = $status");
+            }
+            if (!string.IsNullOrWhiteSpace(persona) && !string.Equals(persona, "all", StringComparison.OrdinalIgnoreCase))
+            {
+                where.Add("persona = $persona");
+            }
+            if (!string.IsNullOrWhiteSpace(datasetId))
+            {
+                where.Add("dataset_id = $ds");
+            }
+            bool hasAgentLinked = HasColumn("train_samples", "agent_linked");
+            string sql = hasAgentLinked
+                ? "SELECT id, dataset_id, source, chat_id, persona, pack, hf_repo, messages_json, status, created_at, updated_at, agent_linked FROM train_samples"
+                : "SELECT id, dataset_id, source, chat_id, persona, pack, hf_repo, messages_json, status, created_at, updated_at FROM train_samples";
+            if (where.Count > 0)
+            {
+                sql += " WHERE " + string.Join(" AND ", where);
+            }
+            sql += " ORDER BY updated_at DESC LIMIT $lim";
+            using SqliteCommand cmd = _conn.CreateCommand();
+            cmd.CommandText = sql;
+            if (where.Any(w => w.Contains("$status")))
+            {
+                cmd.Parameters.AddWithValue("$status", status.Trim());
+            }
+            if (where.Any(w => w.Contains("$persona")))
+            {
+                cmd.Parameters.AddWithValue("$persona", persona.Trim());
+            }
+            if (where.Any(w => w.Contains("$ds")))
+            {
+                cmd.Parameters.AddWithValue("$ds", datasetId.Trim());
+            }
+            cmd.Parameters.AddWithValue("$lim", take);
+            List<JObject> list = [];
+            using SqliteDataReader r = cmd.ExecuteReader();
+            while (r.Read())
+            {
+                list.Add(ReadTrainSampleRow(r));
+            }
+            return list;
+        }
+    }
+
+    static JObject ReadTrainSampleRow(SqliteDataReader r)
+    {
+        JArray messages = [];
+        try
+        {
+            messages = JArray.Parse(r.GetString(7));
+        }
+        catch
+        {
+            // ignore
+        }
+        bool hasAgentLinked = r.FieldCount > 11;
+        return new JObject
+        {
+            ["id"] = r.GetString(0),
+            ["dataset_id"] = r.GetString(1),
+            ["source"] = r.GetString(2),
+            ["chat_id"] = r.IsDBNull(3) ? null : r.GetString(3),
+            ["persona"] = r.IsDBNull(4) ? null : r.GetString(4),
+            ["pack"] = r.IsDBNull(5) ? null : r.GetString(5),
+            ["hf_repo"] = r.IsDBNull(6) ? null : r.GetString(6),
+            ["messages"] = messages,
+            ["status"] = r.GetString(8),
+            ["createdAt"] = r.GetInt64(9),
+            ["updatedAt"] = r.GetInt64(10),
+            ["agent_linked"] = hasAgentLinked && !r.IsDBNull(11) && r.GetInt64(11) != 0,
+        };
+    }
+
+    public JObject GetTrainSample(string id)
+    {
+        if (string.IsNullOrWhiteSpace(id))
+        {
+            return null;
+        }
+        lock (_lock)
+        {
+            EnsureOpen();
+            bool hasAgentLinked = HasColumn("train_samples", "agent_linked");
+            string sql = hasAgentLinked
+                ? "SELECT id, dataset_id, source, chat_id, persona, pack, hf_repo, messages_json, status, created_at, updated_at, agent_linked FROM train_samples WHERE id = $id LIMIT 1"
+                : "SELECT id, dataset_id, source, chat_id, persona, pack, hf_repo, messages_json, status, created_at, updated_at FROM train_samples WHERE id = $id LIMIT 1";
+            using SqliteCommand cmd = _conn.CreateCommand();
+            cmd.CommandText = sql;
+            cmd.Parameters.AddWithValue("$id", id.Trim());
+            using SqliteDataReader r = cmd.ExecuteReader();
+            return r.Read() ? ReadTrainSampleRow(r) : null;
+        }
+    }
+
+    public JObject UpsertTrainSample(JObject sample)
+    {
+        lock (_lock)
+        {
+            EnsureOpen();
+            long now = DateTimeOffset.UtcNow.ToUnixTimeMilliseconds();
+            string id = sample["id"]?.ToString()?.Trim();
+            if (string.IsNullOrWhiteSpace(id))
+            {
+                id = $"ts_{now}_{Guid.NewGuid():N}"[..24];
+            }
+            string datasetId = sample["dataset_id"]?.ToString()?.Trim() ?? "default";
+            JArray messages = sample["messages"] as JArray ?? [];
+            using SqliteCommand cmd = _conn.CreateCommand();
+            cmd.CommandText =
+                """
+                INSERT INTO train_samples(id, dataset_id, source, chat_id, persona, pack, hf_repo, messages_json, status, created_at, updated_at)
+                VALUES($id, $ds, $src, $chat, $persona, $pack, $hf, $msg, $status, $c, $u)
+                ON CONFLICT(id) DO UPDATE SET
+                  dataset_id = excluded.dataset_id,
+                  source = excluded.source,
+                  chat_id = excluded.chat_id,
+                  persona = excluded.persona,
+                  pack = excluded.pack,
+                  hf_repo = excluded.hf_repo,
+                  messages_json = excluded.messages_json,
+                  status = excluded.status,
+                  updated_at = excluded.updated_at
+                """;
+            cmd.Parameters.AddWithValue("$id", id);
+            cmd.Parameters.AddWithValue("$ds", datasetId);
+            cmd.Parameters.AddWithValue("$src", sample["source"]?.ToString() ?? "manual");
+            cmd.Parameters.AddWithValue("$chat", (object)sample["chat_id"]?.ToString() ?? DBNull.Value);
+            cmd.Parameters.AddWithValue("$persona", (object)sample["persona"]?.ToString() ?? DBNull.Value);
+            cmd.Parameters.AddWithValue("$pack", (object)sample["pack"]?.ToString() ?? DBNull.Value);
+            cmd.Parameters.AddWithValue("$hf", (object)sample["hf_repo"]?.ToString() ?? DBNull.Value);
+            cmd.Parameters.AddWithValue("$msg", messages.ToString(Newtonsoft.Json.Formatting.None));
+            cmd.Parameters.AddWithValue("$status", sample["status"]?.ToString() ?? "draft");
+            long created = sample["createdAt"]?.Value<long?>() ?? now;
+            cmd.Parameters.AddWithValue("$c", created);
+            cmd.Parameters.AddWithValue("$u", now);
+            cmd.ExecuteNonQuery();
+            return new JObject { ["id"] = id, ["updatedAt"] = now };
+        }
+    }
+
+    public bool DeleteTrainSample(string id)
+    {
+        lock (_lock)
+        {
+            EnsureOpen();
+            using SqliteCommand cmd = _conn.CreateCommand();
+            cmd.CommandText = "DELETE FROM train_samples WHERE id = $id";
+            cmd.Parameters.AddWithValue("$id", id ?? "");
+            return cmd.ExecuteNonQuery() > 0;
+        }
+    }
+
+    public int CountTrainSamples(string status = null)
+    {
+        lock (_lock)
+        {
+            EnsureOpen();
+            using SqliteCommand cmd = _conn.CreateCommand();
+            if (string.IsNullOrWhiteSpace(status) || string.Equals(status, "all", StringComparison.OrdinalIgnoreCase))
+            {
+                cmd.CommandText = "SELECT COUNT(*) FROM train_samples";
+            }
+            else
+            {
+                cmd.CommandText = "SELECT COUNT(*) FROM train_samples WHERE status = $s";
+                cmd.Parameters.AddWithValue("$s", status.Trim());
+            }
+            return Convert.ToInt32(cmd.ExecuteScalar());
+        }
+    }
+
+    public JObject SaveTrainJob(JObject job)
+    {
+        lock (_lock)
+        {
+            EnsureOpen();
+            long now = DateTimeOffset.UtcNow.ToUnixTimeMilliseconds();
+            string id = job["id"]?.ToString()?.Trim();
+            if (string.IsNullOrWhiteSpace(id))
+            {
+                id = $"tj_{now}_{Guid.NewGuid():N}"[..24];
+            }
+            using SqliteCommand cmd = _conn.CreateCommand();
+            cmd.CommandText =
+                """
+                INSERT INTO train_jobs(id, kind, status, config_json, base_model, output_name, log_path, progress_json, created_at, updated_at, finished_at)
+                VALUES($id, $kind, $status, $cfg, $base, $out, $log, $prog, $c, $u, $f)
+                ON CONFLICT(id) DO UPDATE SET
+                  status = excluded.status,
+                  config_json = excluded.config_json,
+                  log_path = excluded.log_path,
+                  progress_json = excluded.progress_json,
+                  updated_at = excluded.updated_at,
+                  finished_at = excluded.finished_at
+                """;
+            cmd.Parameters.AddWithValue("$id", id);
+            cmd.Parameters.AddWithValue("$kind", job["kind"]?.ToString() ?? "qlora");
+            cmd.Parameters.AddWithValue("$status", job["status"]?.ToString() ?? "pending");
+            cmd.Parameters.AddWithValue("$cfg", job["config"]?.ToString(Newtonsoft.Json.Formatting.None) ?? job["config_json"]?.ToString() ?? "{}");
+            cmd.Parameters.AddWithValue("$base", (object)job["base_model"]?.ToString() ?? DBNull.Value);
+            cmd.Parameters.AddWithValue("$out", (object)job["output_name"]?.ToString() ?? DBNull.Value);
+            cmd.Parameters.AddWithValue("$log", (object)job["log_path"]?.ToString() ?? DBNull.Value);
+            cmd.Parameters.AddWithValue("$prog", (object)job["progress"]?.ToString(Newtonsoft.Json.Formatting.None) ?? job["progress_json"]?.ToString() ?? DBNull.Value);
+            cmd.Parameters.AddWithValue("$c", job["created_at"]?.Value<long?>() ?? job["createdAt"]?.Value<long?>() ?? now);
+            cmd.Parameters.AddWithValue("$u", now);
+            cmd.Parameters.AddWithValue("$f", (object)(job["finished_at"]?.Value<long?>() ?? job["finishedAt"]?.Value<long?>()) ?? DBNull.Value);
+            cmd.ExecuteNonQuery();
+            return new JObject { ["id"] = id };
+        }
+    }
+
+    public JObject GetTrainJob(string id)
+    {
+        lock (_lock)
+        {
+            EnsureOpen();
+            using SqliteCommand cmd = _conn.CreateCommand();
+            cmd.CommandText = "SELECT id, kind, status, config_json, base_model, output_name, log_path, progress_json, created_at, updated_at, finished_at FROM train_jobs WHERE id = $id";
+            cmd.Parameters.AddWithValue("$id", id ?? "");
+            using SqliteDataReader r = cmd.ExecuteReader();
+            if (!r.Read())
+            {
+                return null;
+            }
+            return new JObject
+            {
+                ["id"] = r.GetString(0),
+                ["kind"] = r.GetString(1),
+                ["status"] = r.GetString(2),
+                ["config_json"] = r.IsDBNull(3) ? null : r.GetString(3),
+                ["base_model"] = r.IsDBNull(4) ? null : r.GetString(4),
+                ["output_name"] = r.IsDBNull(5) ? null : r.GetString(5),
+                ["log_path"] = r.IsDBNull(6) ? null : r.GetString(6),
+                ["progress_json"] = r.IsDBNull(7) ? null : r.GetString(7),
+                ["created_at"] = r.GetInt64(8),
+                ["updated_at"] = r.GetInt64(9),
+                ["finished_at"] = r.IsDBNull(10) ? null : r.GetInt64(10),
+            };
+        }
+    }
+
+    public JObject GetActiveTrainJob()
+    {
+        lock (_lock)
+        {
+            EnsureOpen();
+            using SqliteCommand cmd = _conn.CreateCommand();
+            cmd.CommandText = "SELECT id, kind, status, config_json, base_model, output_name, log_path, progress_json, created_at, updated_at, finished_at FROM train_jobs WHERE status IN ('pending','running') ORDER BY updated_at DESC LIMIT 1";
+            using SqliteDataReader r = cmd.ExecuteReader();
+            if (!r.Read())
+            {
+                return null;
+            }
+            return new JObject
+            {
+                ["id"] = r.GetString(0),
+                ["kind"] = r.GetString(1),
+                ["status"] = r.GetString(2),
+                ["config_json"] = r.IsDBNull(3) ? null : r.GetString(3),
+                ["base_model"] = r.IsDBNull(4) ? null : r.GetString(4),
+                ["output_name"] = r.IsDBNull(5) ? null : r.GetString(5),
+                ["log_path"] = r.IsDBNull(6) ? null : r.GetString(6),
+                ["progress_json"] = r.IsDBNull(7) ? null : r.GetString(7),
+                ["created_at"] = r.GetInt64(8),
+                ["updated_at"] = r.GetInt64(9),
+                ["finished_at"] = r.IsDBNull(10) ? null : r.GetInt64(10),
+            };
+        }
+    }
+}
diff --git a/AssistentMemory.cs b/AssistentMemory.cs
index 6604ff9..46597da 100644
--- a/AssistentMemory.cs
+++ b/AssistentMemory.cs
@@ -37,8 +37,12 @@ public sealed partial class AssistentMemory : IDisposable
         ["note"] = 4,
         ["model"] = 2,
         ["aspect"] = 1,
+        ["heard"] = 3,
     };
 
+    public static Dictionary<string, int> CopyDefaultQuotas()
+        => new(DefaultQuotas, StringComparer.OrdinalIgnoreCase);
+
     readonly string _dataRoot;
     readonly string _dbPath;
     readonly HttpClient _http;
@@ -139,6 +143,14 @@ public sealed partial class AssistentMemory : IDisposable
             Logs.Debug($"AssistentMemory store schema: {ex.Message}");
         }
         try
+        {
+            EnsureTrainingSchema();
+        }
+        catch (Exception ex)
+        {
+            Logs.Debug($"AssistentMemory training schema: {ex.Message}");
+        }
+        try
         {
             EnsureUserPrefsSchema();
         }
@@ -857,7 +869,7 @@ public sealed partial class AssistentMemory : IDisposable
         {
             EnsureOpen();
             using SqliteCommand cmd = _conn.CreateCommand();
-            cmd.CommandText = "SELECT kind, key, text, source, persona, updated FROM memories WHERE kind = $kind AND key = $key";
+            cmd.CommandText = "SELECT kind, key, text, source, persona, updated, meta_json FROM memories WHERE kind = $kind AND key = $key";
             cmd.Parameters.AddWithValue("$kind", kind);
             cmd.Parameters.AddWithValue("$key", key);
             using SqliteDataReader reader = cmd.ExecuteReader();
@@ -885,6 +897,7 @@ public sealed partial class AssistentMemory : IDisposable
                     ["scope"] = shared ? "shared" : "personal",
                     ["persona"] = shared ? "shared" : persona,
                     ["updated"] = reader.IsDBNull(5) ? 0 : reader.GetInt64(5),
+                    ["meta_json"] = reader.IsDBNull(6) ? null : reader.GetString(6),
                 };
             }
         }
diff --git a/AssistentPatch.cs b/AssistentPatch.cs
index 0f3fe1e..9485a51 100644
--- a/AssistentPatch.cs
+++ b/AssistentPatch.cs
@@ -186,6 +186,7 @@ public partial class SwarmAssistentExtension
                     || s.Equals("persona_read", StringComparison.OrdinalIgnoreCase)
                     || s.Equals("memory_get", StringComparison.OrdinalIgnoreCase)
                     || s.Equals("memory_search", StringComparison.OrdinalIgnoreCase)
+                    || s.Equals("heard_search", StringComparison.OrdinalIgnoreCase)
                     || s.Equals("lookup_tags", StringComparison.OrdinalIgnoreCase)
                     || s.Equals("list_inventory", StringComparison.OrdinalIgnoreCase)
                     || s.Equals("search_civitai", StringComparison.OrdinalIgnoreCase)
@@ -277,6 +278,11 @@ public partial class SwarmAssistentExtension
         {
             return "memory_search";
         }
+        if ((ActionsContain(patch, "heard_search") || string.Equals(patch["heard_query"]?.ToString(), "1", StringComparison.Ordinal))
+            && !Skip("heard_search"))
+        {
+            return "heard_search";
+        }
         if ((ActionsContain(patch, "lookup_tags") || !string.IsNullOrWhiteSpace(patch["tag_query"]?.ToString()))
             && !Skip("lookup_tags"))
         {
diff --git a/AssistentPersist.cs b/AssistentPersist.cs
index 1a3e550..5b6cce7 100644
--- a/AssistentPersist.cs
+++ b/AssistentPersist.cs
@@ -21,7 +21,7 @@ public partial class SwarmAssistentExtension
     static readonly string[] UiStateKeys =
     [
         "pack", "persona", "auto_vision", "auto_apply", "auto_generate", "auto_critique",
-        "auto_download", "pane_width", "embed_model", "base_url", "model", "view", "board_tab", "park_llm",
+        "auto_download", "pane_width", "embed_model", "base_url", "model", "view", "board_tab", "park_llm", "chats_drawer",
     ];
 
     static string SafeChatId(string id)
diff --git a/AssistentTraining.Agent.cs b/AssistentTraining.Agent.cs
new file mode 100644
index 0000000..21418f4
--- /dev/null
+++ b/AssistentTraining.Agent.cs
@@ -0,0 +1,174 @@
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Threading.Tasks;
+using Newtonsoft.Json.Linq;
+using SwarmUI.Accounts;
+using SwarmUI.Utils;
+
+namespace Mrleo1nid.SwarmAssistent;
+
+/// <summary>Link training dataset samples to the live agent as retrievable &quot;heard&quot; examples.</summary>
+public partial class SwarmAssistentExtension
+{
+    static string MemoryEmbedForTraining(string personaId = null)
+    {
+        string pid = AssistentConfig.SafeId(personaId) ?? Config.DefaultPersonaId();
+        return Config.LoadSettings()["embed_model"]?.ToString()
+            ?? Config.LoadAssistant(pid)["embed_model"]?.ToString()
+            ?? "nomic-embed-text";
+    }
+
+    static string MemoryBaseForTraining(JObject raw = null)
+        => MemoryBaseUrl(raw?["base_url"]?.ToString());
+
+    public async Task<JObject> AssistentGetDatasetAgentSettings(Session session)
+    {
+        await Task.CompletedTask;
+        JObject settings = Config.LoadTrainingAgent();
+        return new JObject
+        {
+            ["success"] = true,
+            ["settings"] = settings,
+            ["linked"] = Memory.CountAgentLinkedTrainSamples(),
+            ["approved"] = Memory.CountTrainSamples("approved"),
+        };
+    }
+
+    public async Task<JObject> AssistentSaveDatasetAgentSettings(Session session, JObject settings)
+    {
+        await Task.CompletedTask;
+        if (settings is null)
+        {
+            return new JObject { ["error"] = "settings required" };
+        }
+        Config.SaveTrainingAgent(settings);
+        return new JObject { ["success"] = true, ["settings"] = Config.LoadTrainingAgent() };
+    }
+
+    public async Task<JObject> AssistentLinkTrainSampleToAgent(Session session, string id, JObject raw = null)
+    {
+        if (string.IsNullOrWhiteSpace(id))
+        {
+            return new JObject { ["error"] = "id required" };
+        }
+        JObject sample = Memory.GetTrainSample(id.Trim());
+        if (sample is null)
+        {
+            return new JObject { ["error"] = "sample not found" };
+        }
+        if (!string.Equals(sample["status"]?.ToString(), "approved", StringComparison.OrdinalIgnoreCase))
+        {
+            return new JObject { ["error"] = "only approved samples can be linked to the agent" };
+        }
+        try
+        {
+            string embed = MemoryEmbedForTraining(sample["persona"]?.ToString());
+            bool ok = await Memory.LinkTrainSampleToAgentAsync(MemoryBaseForTraining(raw), sample, embed);
+            return new JObject { ["success"] = ok, ["linked"] = Memory.CountAgentLinkedTrainSamples() };
+        }
+        catch (Exception ex)
+        {
+            return new JObject { ["error"] = ex.Message };
+        }
+    }
+
+    public async Task<JObject> AssistentUnlinkTrainSampleFromAgent(Session session, string id)
+    {
+        await Task.CompletedTask;
+        if (string.IsNullOrWhiteSpace(id))
+        {
+            return new JObject { ["error"] = "id required" };
+        }
+        JObject sample = Memory.GetTrainSample(id.Trim());
+        if (sample is null)
+        {
+            return new JObject { ["error"] = "sample not found" };
+        }
+        Memory.UnlinkTrainSampleFromAgent(sample);
+        return new JObject { ["success"] = true, ["linked"] = Memory.CountAgentLinkedTrainSamples() };
+    }
+
+    public async Task<JObject> AssistentSyncDatasetToAgent(Session session, JObject raw = null)
+    {
+        bool approvedOnly = raw?["approved_only"]?.Value<bool?>() ?? true;
+        bool relink = raw?["relink"]?.Value<bool?>() ?? false;
+        string persona = raw?["persona"]?.ToString();
+        string status = approvedOnly ? "approved" : "all";
+        List<JObject> samples = Memory.ListTrainSamples(status, persona, null, 2000);
+            string baseUrl = MemoryBaseForTraining(raw);
+        int linked = 0;
+        int skipped = 0;
+        List<string> errors = [];
+        foreach (JObject sample in samples)
+        {
+            bool already = sample["agent_linked"]?.Value<bool?>() ?? false;
+            if (already && !relink)
+            {
+                skipped++;
+                continue;
+            }
+            if (!string.Equals(sample["status"]?.ToString(), "approved", StringComparison.OrdinalIgnoreCase))
+            {
+                skipped++;
+                continue;
+            }
+            try
+            {
+                string embed = MemoryEmbedForTraining(sample["persona"]?.ToString());
+                if (await Memory.LinkTrainSampleToAgentAsync(baseUrl, sample, embed))
+                {
+                    linked++;
+                }
+                else
+                {
+                    skipped++;
+                }
+            }
+            catch (Exception ex)
+            {
+                errors.Add($"{sample["id"]}: {ex.Message}");
+            }
+        }
+        return new JObject
+        {
+            ["success"] = true,
+            ["linked_now"] = linked,
+            ["skipped"] = skipped,
+            ["total_linked"] = Memory.CountAgentLinkedTrainSamples(),
+            ["errors"] = new JArray(errors.Take(8)),
+        };
+    }
+
+    async Task TryAutoLinkTrainSample(Session session, JObject sample, JObject raw = null)
+    {
+        if (sample is null || Memory is null)
+        {
+            return;
+        }
+        JObject agent = Config.LoadTrainingAgent();
+        if (agent["enabled"]?.Value<bool?>() == false)
+        {
+            return;
+        }
+        if (agent["auto_link_on_approve"]?.Value<bool?>() == false)
+        {
+            return;
+        }
+        string status = sample["status"]?.ToString() ?? "";
+        if (!string.Equals(status, "approved", StringComparison.OrdinalIgnoreCase))
+        {
+            Memory.UnlinkTrainSampleFromAgent(sample);
+            return;
+        }
+        try
+        {
+            string embed = MemoryEmbedForTraining(sample["persona"]?.ToString());
+            await Memory.LinkTrainSampleToAgentAsync(MemoryBaseForTraining(raw), sample, embed);
+        }
+        catch (Exception ex)
+        {
+            Logs.Debug($"TryAutoLinkTrainSample: {ex.Message}");
+        }
+    }
+}
diff --git a/AssistentTraining.cs b/AssistentTraining.cs
new file mode 100644
index 0000000..38feac1
--- /dev/null
+++ b/AssistentTraining.cs
@@ -0,0 +1,443 @@
+using System;
+using System.Collections.Generic;
+using System.IO;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+using Newtonsoft.Json.Linq;
+using SwarmUI.Accounts;
+using SwarmUI.Utils;
+
+namespace Mrleo1nid.SwarmAssistent;
+
+/// <summary>Training samples, dataset import/export, Ollama Modelfile builder.</summary>
+public partial class SwarmAssistentExtension
+{
+    static string TrainingRoot()
+    {
+        string root = Path.Combine(DataRoot(), "Assistent", "training");
+        Directory.CreateDirectory(root);
+        Directory.CreateDirectory(Path.Combine(root, "datasets"));
+        Directory.CreateDirectory(Path.Combine(root, "jobs"));
+        Directory.CreateDirectory(Path.Combine(root, "adapters"));
+        return root;
+    }
+
+    public async Task<JObject> AssistentListTrainSamples(Session session, string status = null, string persona = null, int limit = 200)
+    {
+        await Task.CompletedTask;
+        try
+        {
+            List<JObject> list = Memory.ListTrainSamples(status, persona, null, limit);
+            return new JObject
+            {
+                ["success"] = true,
+                ["samples"] = new JArray(list),
+                ["approved"] = Memory.CountTrainSamples("approved"),
+                ["total"] = Memory.CountTrainSamples(null),
+            };
+        }
+        catch (Exception ex)
+        {
+            return new JObject { ["error"] = ex.Message };
+        }
+    }
+
+    public async Task<JObject> AssistentUpsertTrainSample(Session session, JObject raw)
+    {
+        await Task.CompletedTask;
+        if (raw is null)
+        {
+            return new JObject { ["error"] = "body required" };
+        }
+        try
+        {
+            JObject saved = Memory.UpsertTrainSample(raw);
+            JObject full = Memory.GetTrainSample(saved["id"]?.ToString()) ?? raw;
+            await TryAutoLinkTrainSample(session, full, raw);
+            return new JObject { ["success"] = true, ["sample"] = full };
+        }
+        catch (Exception ex)
+        {
+            return new JObject { ["error"] = ex.Message };
+        }
+    }
+
+    public async Task<JObject> AssistentDeleteTrainSample(Session session, string id)
+    {
+        await Task.CompletedTask;
+        if (string.IsNullOrWhiteSpace(id))
+        {
+            return new JObject { ["error"] = "id required" };
+        }
+        JObject sample = Memory.GetTrainSample(id.Trim());
+        bool ok = Memory.DeleteTrainSample(id.Trim());
+        if (ok && sample is not null)
+        {
+            Memory.UnlinkTrainSampleFromAgent(sample);
+        }
+        return new JObject { ["success"] = true, ["deleted"] = ok };
+    }
+
+    public async Task<JObject> AssistentBuildDatasetFromChats(Session session, bool approved_only = false)
+    {
+        await Task.CompletedTask;
+        try
+        {
+            List<JObject> chats = Memory.ListChats(withMessages: true, limit: AssistentMemory.MaxChatsStored);
+            int added = 0;
+            foreach (JObject chat in chats)
+            {
+                JArray messages = chat["messages"] as JArray ?? [];
+                for (int i = 0; i < messages.Count - 1; i++)
+                {
+                    if (messages[i] is not JObject u || messages[i + 1] is not JObject a)
+                    {
+                        continue;
+                    }
+                    if (!string.Equals(u["role"]?.ToString(), "user", StringComparison.OrdinalIgnoreCase))
+                    {
+                        continue;
+                    }
+                    if (!string.Equals(a["role"]?.ToString(), "assistant", StringComparison.OrdinalIgnoreCase))
+                    {
+                        continue;
+                    }
+                    Memory.UpsertTrainSample(new JObject
+                    {
+                        ["source"] = "chat",
+                        ["chat_id"] = chat["id"],
+                        ["persona"] = a["persona"] ?? u["persona"],
+                        ["pack"] = a["pack"] ?? u["pack"],
+                        ["status"] = approved_only ? "approved" : "draft",
+                        ["messages"] = new JArray { u.DeepClone(), a.DeepClone() },
+                    });
+                    added++;
+                }
+            }
+            return new JObject { ["success"] = true, ["added"] = added };
+        }
+        catch (Exception ex)
+        {
+            return new JObject { ["error"] = ex.Message };
+        }
+    }
+
+    public async Task<JObject> AssistentImportDataset(Session session, JObject raw)
+    {
+        await Task.CompletedTask;
+        string content = raw?["content"]?.ToString();
+        string format = raw?["format"]?.ToString() ?? "auto";
+        if (string.IsNullOrWhiteSpace(content))
+        {
+            return new JObject { ["error"] = "content required" };
+        }
+        try
+        {
+            int imported = 0;
+            string fmt = (format ?? "auto").Trim().ToLowerInvariant();
+            List<JObject> records = ParseDatasetContent(content, fmt);
+            foreach (JObject rec in records)
+            {
+                JArray messages = rec["messages"] as JArray;
+                if (messages is null || messages.Count == 0)
+                {
+                    continue;
+                }
+                Memory.UpsertTrainSample(new JObject
+                {
+                    ["source"] = "import",
+                    ["messages"] = messages,
+                    ["status"] = "draft",
+                });
+                imported++;
+            }
+            return new JObject { ["success"] = true, ["imported"] = imported };
+        }
+        catch (Exception ex)
+        {
+            return new JObject { ["error"] = ex.Message };
+        }
+    }
+
+    static List<JObject> ParseDatasetContent(string content, string format)
+    {
+        List<JObject> list = [];
+        string trimmed = content.Trim();
+        if (trimmed.StartsWith('['))
+        {
+            JArray arr = JArray.Parse(trimmed);
+            foreach (JToken t in arr)
+            {
+                if (t is JObject o)
+                {
+                    JArray msgs = ExtractMessagesFromRecord(o);
+                    if (msgs != null)
+                    {
+                        list.Add(new JObject { ["messages"] = msgs });
+                    }
+                }
+            }
+            return list;
+        }
+        if (format == "csv" || LooksLikeCsv(trimmed))
+        {
+            return ParseCsvDataset(trimmed);
+        }
+        foreach (string line in trimmed.Split('\n'))
+        {
+            string ln = line.Trim();
+            if (string.IsNullOrWhiteSpace(ln))
+            {
+                continue;
+            }
+            try
+            {
+                JObject o = JObject.Parse(ln);
+                JArray msgs = ExtractMessagesFromRecord(o);
+                if (msgs != null)
+                {
+                    list.Add(new JObject { ["messages"] = msgs });
+                }
+            }
+            catch
+            {
+                // skip bad line
+            }
+        }
+        return list;
+    }
+
+    static bool LooksLikeCsv(string s) => s.Contains(',') && s.Contains('\n') && !s.TrimStart().StartsWith('{');
+
+    static List<JObject> ParseCsvDataset(string csv)
+    {
+        List<JObject> list = [];
+        string[] lines = csv.Split('\n').Select(l => l.Trim()).Where(l => l.Length > 0).ToArray();
+        if (lines.Length < 2)
+        {
+            return list;
+        }
+        string[] headers = lines[0].Split(',').Select(h => h.Trim().Trim('"')).ToArray();
+        int promptIdx = Array.FindIndex(headers, h => h.Equals("prompt", StringComparison.OrdinalIgnoreCase) || h.Equals("question", StringComparison.OrdinalIgnoreCase) || h.Equals("instruction", StringComparison.OrdinalIgnoreCase));
+        int respIdx = Array.FindIndex(headers, h => h.Equals("response", StringComparison.OrdinalIgnoreCase) || h.Equals("answer", StringComparison.OrdinalIgnoreCase) || h.Equals("output", StringComparison.OrdinalIgnoreCase) || h.Equals("completion", StringComparison.OrdinalIgnoreCase));
+        if (promptIdx < 0 || respIdx < 0)
+        {
+            return list;
+        }
+        for (int i = 1; i < lines.Length; i++)
+        {
+            string[] cols = SplitCsvLine(lines[i]);
+            if (cols.Length <= Math.Max(promptIdx, respIdx))
+            {
+                continue;
+            }
+            list.Add(new JObject
+            {
+                ["messages"] = new JArray
+                {
+                    new JObject { ["role"] = "user", ["content"] = cols[promptIdx] },
+                    new JObject { ["role"] = "assistant", ["content"] = cols[respIdx] },
+                },
+            });
+        }
+        return list;
+    }
+
+    static string[] SplitCsvLine(string line)
+    {
+        List<string> parts = [];
+        StringBuilder cur = new();
+        bool inQ = false;
+        foreach (char c in line)
+        {
+            if (c == '"')
+            {
+                inQ = !inQ;
+                continue;
+            }
+            if (c == ',' && !inQ)
+            {
+                parts.Add(cur.ToString().Trim());
+                cur.Clear();
+                continue;
+            }
+            cur.Append(c);
+        }
+        parts.Add(cur.ToString().Trim());
+        return parts.ToArray();
+    }
+
+    static JArray ExtractMessagesFromRecord(JObject o)
+    {
+        if (o["messages"] is JArray msgs)
+        {
+            return NormalizeMessagesArray(msgs);
+        }
+        if (o["conversations"] is JArray conv)
+        {
+            return ConvertHfRowToMessages(new JObject { ["conversations"] = conv }, new JObject { ["kind"] = "conversations" }, null);
+        }
+        if (o["instruction"] != null && o["output"] != null)
+        {
+            return ConvertHfRowToMessages(o, new JObject { ["kind"] = "alpaca" }, null);
+        }
+        if (o["prompt"] != null && (o["response"] != null || o["completion"] != null))
+        {
+            return ConvertHfRowToMessages(o, new JObject { ["kind"] = "prompt_response", ["response_col"] = o["response"] != null ? "response" : "completion" }, null);
+        }
+        return null;
+    }
+
+    public async Task<JObject> AssistentExportDataset(Session session, string status = "approved", string format = "jsonl")
+    {
+        await Task.CompletedTask;
+        try
+        {
+            List<JObject> samples = Memory.ListTrainSamples(status, null, null, 5000);
+            StringBuilder sb = new();
+            foreach (JObject s in samples)
+            {
+                JArray messages = s["messages"] as JArray ?? [];
+                if (messages.Count == 0)
+                {
+                    continue;
+                }
+                if (string.Equals(format, "sharegpt", StringComparison.OrdinalIgnoreCase))
+                {
+                    JArray conv = [];
+                    foreach (JToken m in messages)
+                    {
+                        if (m is not JObject mo)
+                        {
+                            continue;
+                        }
+                        string role = mo["role"]?.ToString() ?? "user";
+                        conv.Add(new JObject
+                        {
+                            ["from"] = role == "assistant" ? "gpt" : "human",
+                            ["value"] = mo["content"]?.ToString() ?? "",
+                        });
+                    }
+                    sb.AppendLine(new JObject { ["conversations"] = conv }.ToString(Newtonsoft.Json.Formatting.None));
+                }
+                else
+                {
+                    sb.AppendLine(new JObject { ["messages"] = messages }.ToString(Newtonsoft.Json.Formatting.None));
+                }
+            }
+            string path = Path.Combine(TrainingRoot(), "datasets", $"export_{DateTimeOffset.UtcNow.ToUnixTimeMilliseconds()}.jsonl");
+            await File.WriteAllTextAsync(path, sb.ToString(), Encoding.UTF8);
+            return new JObject { ["success"] = true, ["path"] = path, ["count"] = samples.Count, ["content"] = sb.ToString() };
+        }
+        catch (Exception ex)
+        {
+            return new JObject { ["error"] = ex.Message };
+        }
+    }
+
+    public async Task<JObject> AssistentCreateOllamaModel(Session session, JObject raw)
+    {
+        if (raw is null)
+        {
+            return new JObject { ["error"] = "body required" };
+        }
+        string baseUrl = NormalizeBaseUrl(raw["base_url"]?.ToString());
+        string baseModel = raw["base_model"]?.ToString()?.Trim();
+        string name = raw["name"]?.ToString()?.Trim();
+        string system = raw["system"]?.ToString() ?? "";
+        int shots = raw["shots"]?.Value<int?>() ?? 8;
+        if (string.IsNullOrWhiteSpace(baseModel) || string.IsNullOrWhiteSpace(name))
+        {
+            return new JObject { ["error"] = "base_model and name required" };
+        }
+        if (string.IsNullOrWhiteSpace(system))
+        {
+            string persona = AssistentConfig.SafeId(raw["persona"]?.ToString()) ?? Config.DefaultPersonaId();
+            system = Config.LoadCorePrompt(persona) + "\n\n" + Config.RenderIdentityBlock(persona, includeAllShelves: true);
+        }
+        StringBuilder mf = new();
+        mf.AppendLine($"FROM {baseModel}");
+        mf.AppendLine($"SYSTEM \"\"\"{system}\"\"\"");
+        List<JObject> samples = Memory.ListTrainSamples("approved", null, null, Math.Clamp(shots, 0, 32));
+        foreach (JObject s in samples.Take(shots))
+        {
+            JArray messages = s["messages"] as JArray ?? [];
+            foreach (JToken m in messages)
+            {
+                if (m is not JObject mo)
+                {
+                    continue;
+                }
+                string role = mo["role"]?.ToString() ?? "user";
+                string content = mo["content"]?.ToString() ?? "";
+                if (string.IsNullOrWhiteSpace(content))
+                {
+                    continue;
+                }
+                mf.AppendLine($"MESSAGE {role} \"\"\"{content.Replace("\"\"\"", "\"\"\"\"\"\"\"")}\"\"\"");
+            }
+        }
+        if (raw["num_ctx"] != null)
+        {
+            mf.AppendLine($"PARAMETER num_ctx {raw["num_ctx"]}");
+        }
+        if (raw["temperature"] != null)
+        {
+            mf.AppendLine($"PARAMETER temperature {raw["temperature"]}");
+        }
+        string modelfilePath = Path.Combine(TrainingRoot(), "jobs", $"modelfile_{DateTimeOffset.UtcNow.ToUnixTimeMilliseconds()}.Modelfile");
+        Directory.CreateDirectory(Path.GetDirectoryName(modelfilePath)!);
+        await File.WriteAllTextAsync(modelfilePath, mf.ToString(), Encoding.UTF8);
+        try
+        {
+            JObject payload = new()
+            {
+                ["name"] = name,
+                ["modelfile"] = mf.ToString(),
+                ["stream"] = false,
+            };
+            using StringContent content = new(payload.ToString(Newtonsoft.Json.Formatting.None), Encoding.UTF8, "application/json");
+            using HttpResponseMessage resp = await HttpClient.PostAsync($"{baseUrl}/api/create", content);
+            string body = await resp.Content.ReadAsStringAsync();
+            if (!resp.IsSuccessStatusCode)
+            {
+                return new JObject { ["error"] = $"Ollama create HTTP {(int)resp.StatusCode}: {Clip(body, 400)}", ["modelfile_path"] = modelfilePath };
+            }
+            return new JObject { ["success"] = true, ["name"] = name, ["modelfile_path"] = modelfilePath, ["ollama"] = body };
+        }
+        catch (Exception ex)
+        {
+            return new JObject { ["error"] = ex.Message, ["modelfile_path"] = modelfilePath };
+        }
+    }
+
+    public async Task<JObject> AssistentGetTrainJob(Session session, string id = null)
+    {
+        await Task.CompletedTask;
+        JObject job = string.IsNullOrWhiteSpace(id) ? Memory.GetActiveTrainJob() : Memory.GetTrainJob(id);
+        return new JObject
+        {
+            ["success"] = true,
+            ["job"] = job,
+            ["training_active"] = TrainingJobManager.IsRunning,
+        };
+    }
+
+    public async Task<JObject> AssistentSaveRunnerSettings(Session session, JObject settings)
+    {
+        await Task.CompletedTask;
+        if (settings is null)
+        {
+            return new JObject { ["error"] = "settings required" };
+        }
+        Config.SaveTrainingRunner(settings);
+        return new JObject { ["success"] = true };
+    }
+
+    public async Task<JObject> AssistentGetRunnerSettings(Session session)
+    {
+        await Task.CompletedTask;
+        return new JObject { ["success"] = true, ["settings"] = Config.LoadTrainingRunner() };
+    }
+}
diff --git a/AssistentTrainingJobs.cs b/AssistentTrainingJobs.cs
new file mode 100644
index 0000000..0b0ae18
--- /dev/null
+++ b/AssistentTrainingJobs.cs
@@ -0,0 +1,417 @@
+using System;
+using System.Collections.Generic;
+using System.Diagnostics;
+using System.IO;
+using System.Linq;
+using System.Text;
+using System.Text.RegularExpressions;
+using System.Threading;
+using System.Threading.Tasks;
+using Newtonsoft.Json.Linq;
+using SwarmUI.Accounts;
+using SwarmUI.Utils;
+using SwarmUI.WebAPI;
+
+namespace Mrleo1nid.SwarmAssistent;
+
+/// <summary>QLoRA training job runner with VRAM lock and progress streaming.</summary>
+public partial class SwarmAssistentExtension
+{
+    static readonly TrainingJobManager TrainingJobManager = new();
+
+    public async Task<JObject> AssistentStartTrainJob(Session session, JObject raw)
+    {
+        if (raw is null)
+        {
+            return new JObject { ["error"] = "body required" };
+        }
+        if (TrainingJobManager.IsRunning)
+        {
+            return new JObject { ["error"] = "Тренировка уже идёт" };
+        }
+        string hfBase = raw["base_model"]?.ToString()?.Trim();
+        string outputName = raw["output_name"]?.ToString()?.Trim();
+        if (string.IsNullOrWhiteSpace(hfBase) || string.IsNullOrWhiteSpace(outputName))
+        {
+            return new JObject { ["error"] = "base_model and output_name required" };
+        }
+        if (!string.IsNullOrWhiteSpace(raw["hf_dataset"]?.ToString()))
+        {
+            string dsId = NormalizeHfDatasetId(raw["hf_dataset"]?.ToString());
+            if (dsId is null)
+            {
+                return new JObject { ["error"] = "invalid hf_dataset id" };
+            }
+            JObject check = await CheckHfDatasetInternal(session, dsId, useCache: true);
+            if (check["gate"]?.ToString() == "rejected")
+            {
+                return new JObject { ["error"] = check["reason"]?.ToString() ?? "hf dataset rejected" };
+            }
+            raw["hf_dataset"] = dsId;
+        }
+        JObject runner = Config.LoadTrainingRunner();
+        string python = runner["python"]?.ToString()?.Trim();
+        if (string.IsNullOrWhiteSpace(python))
+        {
+            python = "python";
+        }
+        string kind = runner["kind"]?.ToString()?.Trim();
+        if (string.IsNullOrWhiteSpace(kind))
+        {
+            return new JObject { ["error"] = "QLoRA-раннер не настроен (Настройки → Модели)" };
+        }
+        string baseUrl = NormalizeBaseUrl(raw["base_url"]?.ToString());
+        string chatModel = raw["chat_model"]?.ToString()?.Trim();
+        if (!string.IsNullOrWhiteSpace(chatModel))
+        {
+            await AssistentParkLlm(session, baseUrl, chatModel);
+        }
+        JObject export = await AssistentExportDataset(session, "approved", "jsonl");
+        string datasetPath = export["path"]?.ToString();
+        if (string.IsNullOrWhiteSpace(datasetPath) || !File.Exists(datasetPath))
+        {
+            return new JObject { ["error"] = "Нет одобренных примеров для тренировки" };
+        }
+        long now = DateTimeOffset.UtcNow.ToUnixTimeMilliseconds();
+        string jobId = $"tj_{now}";
+        string jobDir = Path.Combine(TrainingRoot(), "jobs", jobId);
+        Directory.CreateDirectory(jobDir);
+        string configPath = Path.Combine(jobDir, "config.json");
+        string logPath = Path.Combine(jobDir, "log.txt");
+        JObject jobConfig = new()
+        {
+            ["base_model"] = hfBase,
+            ["output_name"] = outputName,
+            ["dataset_path"] = datasetPath,
+            ["hf_dataset"] = raw["hf_dataset"],
+            ["rank"] = raw["rank"] ?? 16,
+            ["alpha"] = raw["alpha"] ?? 32,
+            ["lr"] = raw["lr"] ?? 0.0002,
+            ["epochs"] = raw["epochs"] ?? 3,
+            ["seq_len"] = raw["seq_len"] ?? 2048,
+            ["four_bit"] = raw["four_bit"] ?? true,
+            ["adapter_dir"] = Path.Combine(TrainingRoot(), "adapters", outputName),
+        };
+        await File.WriteAllTextAsync(configPath, jobConfig.ToString(Newtonsoft.Json.Formatting.Indented), Encoding.UTF8);
+        Memory.SaveTrainJob(new JObject
+        {
+            ["id"] = jobId,
+            ["kind"] = "qlora",
+            ["status"] = "running",
+            ["config"] = jobConfig,
+            ["base_model"] = hfBase,
+            ["output_name"] = outputName,
+            ["log_path"] = logPath,
+            ["created_at"] = now,
+        });
+        string cmdLine = BuildRunnerCommand(runner, configPath, logPath, jobDir);
+        bool started = TrainingJobManager.Start(this, session, jobId, cmdLine, logPath, baseUrl, chatModel, GetHfToken(session));
+        if (!started)
+        {
+            Memory.SaveTrainJob(new JObject { ["id"] = jobId, ["status"] = "failed", ["progress"] = new JObject { ["error"] = "process start failed" } });
+            return new JObject { ["error"] = "Не удалось запустить процесс тренировки" };
+        }
+        return new JObject { ["success"] = true, ["job_id"] = jobId, ["log_path"] = logPath };
+    }
+
+    static string BuildRunnerCommand(JObject runner, string configPath, string logPath, string workDir)
+    {
+        string python = runner["python"]?.ToString()?.Trim();
+        if (string.IsNullOrWhiteSpace(python))
+        {
+            python = "python";
+        }
+        string kind = runner["kind"]?.ToString()?.Trim() ?? "custom";
+        string custom = runner["cmd"]?.ToString()?.Trim();
+        string scriptPath = Path.Combine(FilePath, "scripts", "train_qlora.py");
+        if (kind == "custom" && !string.IsNullOrWhiteSpace(custom))
+        {
+            return custom
+                .Replace("{python}", python, StringComparison.OrdinalIgnoreCase)
+                .Replace("{config}", configPath, StringComparison.OrdinalIgnoreCase)
+                .Replace("{log}", logPath, StringComparison.OrdinalIgnoreCase)
+                .Replace("{workdir}", workDir, StringComparison.OrdinalIgnoreCase);
+        }
+        return $"\"{python}\" \"{scriptPath}\" --config \"{configPath}\" --log \"{logPath}\"";
+    }
+
+    public async Task<JObject> AssistentCancelTrainJob(Session session, string id = null)
+    {
+        await Task.CompletedTask;
+        TrainingJobManager.Cancel();
+        string jobId = id ?? TrainingJobManager.CurrentJobId;
+        if (!string.IsNullOrWhiteSpace(jobId))
+        {
+            Memory.SaveTrainJob(new JObject
+            {
+                ["id"] = jobId,
+                ["status"] = "cancelled",
+                ["finished_at"] = DateTimeOffset.UtcNow.ToUnixTimeMilliseconds(),
+            });
+        }
+        return new JObject { ["success"] = true, ["cancelled"] = true };
+    }
+
+    public async Task<JObject> AssistentTrainWS(Session session, WebSocket ws, JObject raw)
+    {
+        await Task.CompletedTask;
+        try
+        {
+            while (TrainingJobManager.IsRunning && ws.State == System.Net.WebSockets.WebSocketState.Open)
+            {
+                JObject progress = TrainingJobManager.GetProgress();
+                string msg = progress.ToString(Newtonsoft.Json.Formatting.None);
+                await ws.SendAsync(Encoding.UTF8.GetBytes(msg), System.Net.WebSockets.WebSocketMessageType.Text, true, CancellationToken.None);
+                await Task.Delay(800);
+            }
+            JObject final = TrainingJobManager.GetProgress();
+            final["done"] = true;
+            await ws.SendAsync(Encoding.UTF8.GetBytes(final.ToString(Newtonsoft.Json.Formatting.None)), System.Net.WebSockets.WebSocketMessageType.Text, true, CancellationToken.None);
+        }
+        catch (Exception ex)
+        {
+            Logs.Debug($"AssistentTrainWS: {ex.Message}");
+        }
+        return new JObject { ["success"] = true };
+    }
+
+    internal async Task FinishTrainJobAsync(string jobId, bool success, string logPath, Session session, string baseUrl, string chatModel, string adapterDir, string outputName, string ggufScript)
+    {
+        long now = DateTimeOffset.UtcNow.ToUnixTimeMilliseconds();
+        Memory.SaveTrainJob(new JObject
+        {
+            ["id"] = jobId,
+            ["status"] = success ? "completed" : "failed",
+            ["finished_at"] = now,
+            ["progress"] = TrainingJobManager.GetProgress(),
+        });
+        if (success && Directory.Exists(adapterDir))
+        {
+            try
+            {
+                await RegisterAdapterInOllama(session, baseUrl, outputName, adapterDir, ggufScript);
+            }
+            catch (Exception ex)
+            {
+                Logs.Debug($"RegisterAdapter: {ex.Message}");
+            }
+        }
+        if (!string.IsNullOrWhiteSpace(chatModel))
+        {
+            await AssistentWarmLlm(session, baseUrl, chatModel);
+        }
+        TrainingJobManager.ClearRunning();
+    }
+
+    async Task RegisterAdapterInOllama(Session session, string baseUrl, string outputName, string adapterDir, string ggufScript)
+    {
+        string adapterFile = Directory.GetFiles(adapterDir, "*.gguf").FirstOrDefault()
+            ?? Directory.GetFiles(adapterDir, "adapter_model.safetensors").FirstOrDefault();
+        if (string.IsNullOrWhiteSpace(adapterFile))
+        {
+            return;
+        }
+        StringBuilder mf = new();
+        JObject job = Memory.GetTrainJob(TrainingJobManager.CurrentJobId ?? "");
+        string baseModel = job?["base_model"]?.ToString() ?? "unknown";
+        mf.AppendLine($"FROM {baseModel}");
+        mf.AppendLine($"ADAPTER {adapterFile.Replace("\\", "/")}");
+        JObject payload = new()
+        {
+            ["name"] = outputName,
+            ["modelfile"] = mf.ToString(),
+            ["stream"] = false,
+        };
+        using StringContent content = new(payload.ToString(Newtonsoft.Json.Formatting.None), Encoding.UTF8, "application/json");
+        using HttpResponseMessage resp = await HttpClient.PostAsync($"{NormalizeBaseUrl(baseUrl)}/api/create", content);
+        _ = await resp.Content.ReadAsStringAsync();
+    }
+}
+
+sealed class TrainingJobManager
+{
+    static readonly Regex LossRe = new(@"loss[:\s]+([0-9.]+)", RegexOptions.IgnoreCase | RegexOptions.Compiled);
+    static readonly Regex StepRe = new(@"(\d+)\s*/\s*(\d+)", RegexOptions.Compiled);
+
+    Process _process;
+    readonly object _lock = new();
+    JObject _progress = new() { ["status"] = "idle" };
+    string _logPath;
+    SwarmAssistentExtension _ext;
+    Session _session;
+    string _jobId;
+    string _baseUrl;
+    string _chatModel;
+
+    public bool IsRunning { get; private set; }
+    public string CurrentJobId => _jobId;
+
+    public bool Start(SwarmAssistentExtension ext, Session session, string jobId, string commandLine, string logPath, string baseUrl, string chatModel, string hfToken)
+    {
+        lock (_lock)
+        {
+            if (IsRunning)
+            {
+                return false;
+            }
+            _ext = ext;
+            _session = session;
+            _jobId = jobId;
+            _logPath = logPath;
+            _baseUrl = baseUrl;
+            _chatModel = chatModel;
+            _progress = new JObject { ["status"] = "running", ["step"] = 0, ["loss"] = null, ["log"] = "" };
+            try
+            {
+                ProcessStartInfo psi = new()
+                {
+                    FileName = "cmd.exe",
+                    Arguments = $"/c {commandLine}",
+                    UseShellExecute = false,
+                    RedirectStandardOutput = true,
+                    RedirectStandardError = true,
+                    CreateNoWindow = true,
+                    WorkingDirectory = Path.GetDirectoryName(logPath) ?? Environment.CurrentDirectory,
+                };
+                if (!string.IsNullOrWhiteSpace(hfToken))
+                {
+                    psi.Environment["HF_TOKEN"] = hfToken;
+                }
+                _process = new Process { StartInfo = psi, EnableRaisingEvents = true };
+                _process.OutputDataReceived += (_, e) => AppendLog(e.Data);
+                _process.ErrorDataReceived += (_, e) => AppendLog(e.Data);
+                _process.Exited += async (_, _) => await OnExited();
+                _process.Start();
+                _process.BeginOutputReadLine();
+                _process.BeginErrorReadLine();
+                IsRunning = true;
+                return true;
+            }
+            catch (Exception ex)
+            {
+                _progress["error"] = ex.Message;
+                IsRunning = false;
+                return false;
+            }
+        }
+    }
+
+    void AppendLog(string line)
+    {
+        if (string.IsNullOrWhiteSpace(line))
+        {
+            return;
+        }
+        lock (_lock)
+        {
+            try
+            {
+                File.AppendAllText(_logPath, line + Environment.NewLine);
+            }
+            catch
+            {
+                // ignore
+            }
+            string prev = _progress["log"]?.ToString() ?? "";
+            string combined = (prev + line + "\n");
+            if (combined.Length > 12000)
+            {
+                combined = combined[^12000..];
+            }
+            _progress["log"] = combined;
+            Match lossM = LossRe.Match(line);
+            if (lossM.Success)
+            {
+                _progress["loss"] = lossM.Groups[1].Value;
+            }
+            Match stepM = StepRe.Match(line);
+            if (stepM.Success)
+            {
+                _progress["step"] = int.Parse(stepM.Groups[1].Value);
+                _progress["total_steps"] = int.Parse(stepM.Groups[2].Value);
+                int total = int.Parse(stepM.Groups[2].Value);
+                int step = int.Parse(stepM.Groups[1].Value);
+                _progress["percent"] = total > 0 ? (int)(100.0 * step / total) : 0;
+            }
+            try
+            {
+                _ext?.Memory?.SaveTrainJob(new JObject
+                {
+                    ["id"] = _jobId,
+                    ["status"] = "running",
+                    ["progress"] = _progress,
+                });
+            }
+            catch
+            {
+                // ignore
+            }
+        }
+    }
+
+    async Task OnExited()
+    {
+        bool ok = false;
+        string adapterDir = "";
+        string outputName = "";
+        lock (_lock)
+        {
+            ok = _process?.ExitCode == 0;
+            IsRunning = false;
+            _progress["status"] = ok ? "completed" : "failed";
+            _progress["exit_code"] = _process?.ExitCode;
+        }
+        if (_ext != null)
+        {
+            JObject job = _ext.Memory.GetTrainJob(_jobId);
+            try
+            {
+                JObject cfg = JObject.Parse(job?["config_json"]?.ToString() ?? "{}");
+                adapterDir = cfg["adapter_dir"]?.ToString() ?? "";
+                outputName = cfg["output_name"]?.ToString() ?? job?["output_name"]?.ToString() ?? "";
+            }
+            catch
+            {
+                // ignore
+            }
+            JObject runner = _ext.Config.LoadTrainingRunner();
+            await _ext.FinishTrainJobAsync(_jobId, ok, _logPath, _session, _baseUrl, _chatModel, adapterDir, outputName, runner["gguf_script"]?.ToString());
+        }
+    }
+
+    public void Cancel()
+    {
+        lock (_lock)
+        {
+            try
+            {
+                if (_process != null && !_process.HasExited)
+                {
+                    _process.Kill(entireProcessTree: true);
+                }
+            }
+            catch
+            {
+                // ignore
+            }
+            IsRunning = false;
+            _progress["status"] = "cancelled";
+        }
+    }
+
+    public JObject GetProgress()
+    {
+        lock (_lock)
+        {
+            return (JObject)_progress.DeepClone();
+        }
+    }
+
+    public void ClearRunning()
+    {
+        lock (_lock)
+        {
+            IsRunning = false;
+        }
+    }
+}
diff --git a/README.md b/README.md
index 1d6a14f..9a1e26a 100644
--- a/README.md
+++ b/README.md
@@ -4,6 +4,10 @@ SwarmUI extension for **collaborative Krea 2** prompting via **Ollama**: chat +
 
 **Turn model:** one user message is one *turn*. A turn may fan out into nested LLM *hops* — Krea prompt prep, empty-patch retry, vision, auto-critique. Hops share one `HOP_BUDGET`, never re-read the user's text (their prompt is client-authored), and pass the busy gate that blocks new user sends. What a reply does to generation state is decided once, in `resolveTurnIntent`: the model's `actions:["generate"]` / `look_at` win, RU intent heuristics only back it up when the model forgets, and an explicit «запомни, не генерируй» vetoes both.
 
+**Version 0.12.1** — **Услышанное → агент**: одобренные примеры датасета сразу попадают в vector memory (`kind=heard`) и в контекст чата как `heard_examples` (без QLoRA). На вкладке «Датасет»: авто-подключение при одобрении, синхронизация всех, per-sample 🔗. Агент может запросить `heard_search`. Настройки: `training-agent.json`.
+
+**Version 0.12.0** — App-level tabs (Чат / Карточки / **Обучение** / Настройки), боковая панель истории чатов, вкладка обучения LLM: курирование диалогов, импорт JSONL/CSV, Hugging Face datasets (фильтр совместимости), быстрый Ollama Modelfile, опциональный QLoRA-раннер с локаутом VRAM. HF token из SwarmUI User Settings (`huggingface_api`).
+
 **Version 0.11.9** — Distilled client: esbuild bundle (`Assets/assistent.bundle.js`), unified patch keys (`Config/_base/patch-keys.json`), taste stack removed (UserPrefs only), chat storage merge + all-chats disk save, `write_prompt` → alias of `ordinary`. Builds on prior 0.11.9 turn-intent work.
 
 **Version 0.11.9** — One turn, one decision. Nested hops (Krea prep, empty-patch retry, vision, critique) share a `turnHops` budget and pass the busy gate — Krea prep and the empty-patch retry were silently no-ops since 0.10.22/0.11.2. Generate / `look_at` are decided in a single `resolveTurnIntent`; `ensureGenerateAction`, `shouldHonorLookAt` and the `wantsGen`/`willGen`/`suppressGen` tangle are gone. Builds on 0.11.8.
@@ -204,6 +208,14 @@ Patch fence keys: single source `Config/_base/patch-keys.json` → C# + client v
 | `AssistentListChats` / `AssistentGetChat` / `AssistentSaveChat` / `AssistentDeleteChat` | sqlite `chats` (optional `q` FTS) |
 | `AssistentGetUiState` / `AssistentSaveUiState` | sqlite `kv.ui_state` |
 | `AssistentParkLlm` / `AssistentWarmLlm` | Unload / reload the chat model in VRAM |
+| `AssistentListTrainSamples` / `AssistentUpsertTrainSample` / `AssistentDeleteTrainSample` | Training samples in sqlite |
+| `AssistentBuildDatasetFromChats` / `AssistentImportDataset` / `AssistentExportDataset` | Dataset from chats / file import / JSONL export |
+| `AssistentCreateOllamaModel` | Build Ollama model from Modelfile (SYSTEM + few-shot) |
+| `AssistentSearchHfDatasets` / `AssistentCheckHfDataset` / `AssistentPreviewHfDataset` / `AssistentImportHfDataset` | Hugging Face datasets (gated by schema) |
+| `AssistentStartTrainJob` / `AssistentCancelTrainJob` / `AssistentGetTrainJob` / `AssistentTrainWS` | QLoRA runner + progress |
+| `AssistentGetRunnerSettings` / `AssistentSaveRunnerSettings` | Python runner config overlay |
+| `AssistentGetDatasetAgentSettings` / `AssistentSaveDatasetAgentSettings` | «Услышанное» → agent RAG (`training-agent.json`) |
+| `AssistentLinkTrainSampleToAgent` / `AssistentUnlinkTrainSampleFromAgent` / `AssistentSyncDatasetToAgent` | Embed approved samples as `heard` memory |
 
 ## License
 
diff --git a/SwarmAssistentExtension.cs b/SwarmAssistentExtension.cs
index ccc8718..e7154ab 100644
--- a/SwarmAssistentExtension.cs
+++ b/SwarmAssistentExtension.cs
@@ -33,8 +33,8 @@ public partial class SwarmAssistentExtension : Extension
         ExtensionAuthor = "mrleo1nid";
         Description = "Collaborative Krea 2 assistant: Ollama chat, persona presets, vector memory, model cards, Generate loop.";
         License = "MIT";
-        Version = "0.11.9";
-        Tags = ["tabs", "ui", "llm", "ollama", "krea", "inpaint", "memory"];
+        Version = "0.12.1";
+        Tags = ["tabs", "ui", "llm", "ollama", "krea", "inpaint", "memory", "training", "heard"];
     }
 
     public override void OnInit()
@@ -82,7 +82,29 @@ public partial class SwarmAssistentExtension : Extension
         API.RegisterAPICall(AssistentForgetUserPref, true, PermUse);
         API.RegisterAPICall(AssistentClearUserPrefs, true, PermUse);
         API.RegisterAPICall(AssistentClearMemory, true, PermUse);
-        Logs.Init("Swarm Assistent extension loaded (settings panel + user prefs + craft memory)");
+        API.RegisterAPICall(AssistentListTrainSamples, false, PermUse);
+        API.RegisterAPICall(AssistentUpsertTrainSample, true, PermUse);
+        API.RegisterAPICall(AssistentDeleteTrainSample, true, PermUse);
+        API.RegisterAPICall(AssistentBuildDatasetFromChats, false, PermUse);
+        API.RegisterAPICall(AssistentImportDataset, true, PermUse);
+        API.RegisterAPICall(AssistentExportDataset, false, PermUse);
+        API.RegisterAPICall(AssistentCreateOllamaModel, true, PermUse);
+        API.RegisterAPICall(AssistentSearchHfDatasets, false, PermUse);
+        API.RegisterAPICall(AssistentCheckHfDataset, false, PermUse);
+        API.RegisterAPICall(AssistentPreviewHfDataset, false, PermUse);
+        API.RegisterAPICall(AssistentImportHfDataset, true, PermUse);
+        API.RegisterAPICall(AssistentStartTrainJob, true, PermUse);
+        API.RegisterAPICall(AssistentCancelTrainJob, true, PermUse);
+        API.RegisterAPICall(AssistentGetTrainJob, false, PermUse);
+        API.RegisterAPICall(AssistentTrainWS, true, PermUse);
+        API.RegisterAPICall(AssistentSaveRunnerSettings, true, PermUse);
+        API.RegisterAPICall(AssistentGetRunnerSettings, false, PermUse);
+        API.RegisterAPICall(AssistentGetDatasetAgentSettings, false, PermUse);
+        API.RegisterAPICall(AssistentSaveDatasetAgentSettings, true, PermUse);
+        API.RegisterAPICall(AssistentLinkTrainSampleToAgent, true, PermUse);
+        API.RegisterAPICall(AssistentUnlinkTrainSampleFromAgent, true, PermUse);
+        API.RegisterAPICall(AssistentSyncDatasetToAgent, true, PermUse);
+        Logs.Init("Swarm Assistent extension loaded (0.12.1 heard dataset → agent)");
     }
 
     int CfgInt(string key, int fallback)
diff --git a/Tabs/Text2Image/Assistent.html b/Tabs/Text2Image/Assistent.html
index 30d06b2..221fe25 100644
--- a/Tabs/Text2Image/Assistent.html
+++ b/Tabs/Text2Image/Assistent.html
@@ -2,161 +2,290 @@
     <div class="sa-gate" id="sa_gate" hidden>
         <p>Swarm Assistent только для моделей <strong>Krea 2</strong>. Выбери checkpoint Krea 2, чтобы включить чат.</p>
     </div>
-    <div class="sa-layout" id="sa_layout">
-        <aside class="sa-image-pane" id="sa_image_pane">
-            <div class="sa-board-head">
-                <span class="sa-board-title">Доска</span>
-                <div class="sa-board-tabs" role="tablist" aria-label="Доска">
-                    <button type="button" class="sa-board-tab sa-board-tab-active" data-board="generate" id="sa_board_tab_gen" role="tab" aria-selected="true">Generate</button>
-                    <button type="button" class="sa-board-tab" data-board="refs" id="sa_board_tab_refs" role="tab" aria-selected="false">
-                        Refs
-                        <span class="sa-board-badge" id="sa_refs_badge" hidden></span>
-                    </button>
-                </div>
-                <button type="button" class="basic-button sa-icon-btn" id="sa_btn_add_ref" title="Добавить окно референса">+ Ref</button>
-            </div>
-            <div class="sa-board" id="sa_board" tabindex="0" title="Перетащи изображение на окно или вставь (Ctrl+V). Кликни, чтобы выбрать."></div>
-            <div class="sa-live-params" id="sa_live_params" title="Текущие параметры Generate">—</div>
-            <div class="sa-image-actions" id="sa_image_actions">
-                <button type="button" class="basic-button sa-primary" id="sa_btn_look_result" title="Прикрепить готовый кадр Generate и спросить мнение">Посмотри результат</button>
-                <button type="button" class="basic-button" id="sa_btn_use_current" title="Скопировать текущий Generate в Ref">Снимок gen</button>
-                <button type="button" class="basic-button" id="sa_btn_clear_image" title="Очистить выбранный Ref">Очистить слот</button>
-                <div class="sa-more-wrap" id="sa_board_more_wrap">
-                    <button type="button" class="basic-button sa-icon-btn" id="sa_btn_board_more" title="Init / Mask / Сброс" aria-expanded="false" aria-haspopup="true">⋯</button>
-                    <div class="sa-more-menu" id="sa_board_more_menu" hidden role="menu">
-                        <button type="button" class="sa-more-item" id="sa_btn_as_init" role="menuitem">Как Init (img2img)</button>
-                        <button type="button" class="sa-more-item" id="sa_btn_as_mask" role="menuitem">Как Mask (inpaint)</button>
-                        <button type="button" class="sa-more-item" id="sa_btn_clear_init" role="menuitem">Сброс Init + Mask</button>
+    <header class="sa-appbar" id="sa_appbar">
+        <div class="sa-appbar-brand">
+            <span class="sa-appbar-title">Assistent</span>
+            <span class="sa-live-dot" id="sa_live_dot" hidden></span>
+            <span class="sa-health" id="sa_ollama_health" role="button" tabindex="0" title="Ollama: проверяю…" hidden>Ollama · …</span>
+        </div>
+        <div class="sa-app-tabs" role="tablist" aria-label="Разделы Assistent">
+            <button type="button" class="sa-app-tab sa-app-tab-active" data-view="chat" id="sa_tab_chat" role="tab" aria-selected="true">Чат</button>
+            <button type="button" class="sa-app-tab" data-view="cards" id="sa_tab_cards" role="tab" aria-selected="false">Карточки</button>
+            <button type="button" class="sa-app-tab" data-view="train" id="sa_tab_train" role="tab" aria-selected="false">Обучение</button>
+            <button type="button" class="sa-app-tab" data-view="settings" id="sa_tab_settings" role="tab" aria-selected="false">Настройки</button>
+        </div>
+        <div class="sa-train-banner" id="sa_train_banner" hidden role="status">
+            <span class="sa-spinner" aria-hidden="true"></span>
+            <span id="sa_train_banner_text">Идёт тренировка…</span>
+        </div>
+    </header>
+    <div class="sa-views" id="sa_views">
+        <div class="sa-view" id="sa_view_chat">
+            <div class="sa-layout" id="sa_layout">
+                <aside class="sa-image-pane" id="sa_image_pane">
+                    <div class="sa-board-head">
+                        <span class="sa-board-title">Доска</span>
+                        <div class="sa-board-tabs" role="tablist" aria-label="Доска">
+                            <button type="button" class="sa-board-tab sa-board-tab-active" data-board="generate" id="sa_board_tab_gen" role="tab" aria-selected="true">Generate</button>
+                            <button type="button" class="sa-board-tab" data-board="refs" id="sa_board_tab_refs" role="tab" aria-selected="false">
+                                Refs
+                                <span class="sa-board-badge" id="sa_refs_badge" hidden></span>
+                            </button>
+                        </div>
+                        <button type="button" class="basic-button sa-icon-btn" id="sa_btn_add_ref" title="Добавить окно референса">+ Ref</button>
                     </div>
-                </div>
-            </div>
-        </aside>
-        <div class="sa-splitter" id="sa_splitter" role="separator" aria-orientation="vertical" title="Потяни, чтобы изменить ширину"></div>
-        <section class="sa-chat-pane">
-            <header class="sa-chat-header">
-                <div class="sa-chat-title">
-                    Assistent
-                    <span class="sa-live-dot" id="sa_live_dot" hidden></span>
-                    <span class="sa-health" id="sa_ollama_health" role="button" tabindex="0" title="Ollama: проверяю…" hidden>Ollama · …</span>
-                    <div class="sa-sessions-bar">
-                        <button type="button" class="basic-button sa-icon-btn" id="sa_btn_new_chat" title="Новый чат">+</button>
-                        <button type="button" class="basic-button sa-sessions-toggle" id="sa_btn_chats" title="История чатов" aria-expanded="false">История</button>
-                    <span class="sa-session-label" id="sa_session_label" title="Текущий чат — клик открывает Историю" role="button" tabindex="0">Новый чат</span>
-                    </div>
-                    <div class="sa-subtabs" role="tablist" aria-label="Разделы Assistent">
-                        <button type="button" class="sa-subtab sa-subtab-active" data-view="chat" id="sa_tab_chat" role="tab" aria-selected="true">Чат</button>
-                        <button type="button" class="sa-subtab" data-view="cards" id="sa_tab_cards" role="tab" aria-selected="false">Карточки</button>
-                        <button type="button" class="sa-subtab" data-view="settings" id="sa_tab_settings" role="tab" aria-selected="false">Настройки</button>
-                    </div>
-                </div>
-                <div class="sa-chats-panel" id="sa_chats_panel" hidden>
-                    <div class="sa-chats-panel-head">Сохранённые чаты</div>
-                    <input type="search" class="sa-chats-search" id="sa_chats_search" placeholder="Поиск по истории…" autocomplete="off" />
-                    <div class="sa-chats-list" id="sa_chats_list"></div>
-                    <div class="sa-chats-panel-hint">Старт = всегда новый чат. Клик по чату восстанавливает сообщения и параметры Generate.</div>
-                </div>
-                <div class="sa-header-right">
-                    <div class="sa-persona-wrap">
-                        <select id="sa_persona" class="sa-select" title="Характер / тон" aria-label="Характер">
-                            <option value="neutral">Нейтральный</option>
-                        </select>
-                        <button type="button" class="basic-button sa-icon-btn" id="sa_persona_delete" title="Удалить overlay-личность" hidden aria-label="Удалить личность">✕</button>
-                    </div>
-                    <div class="sa-persona-controls" id="sa_persona_controls" hidden></div>
-                    <select id="sa_pack" class="sa-select" title="Пакет промпта" aria-label="Пакет промпта">
-                        <option value="ordinary">Обычный</option>
-                        <option value="write_prompt">Написать промпт</option>
-                    </select>
-                    <span class="sa-mode-badge" id="sa_mode_badge" title="Активный pack">обычный</span>
-                    <select id="sa_model" class="sa-select sa-model-select" title="Модель Ollama (чат)" aria-label="Модель Ollama">
-                        <option value="">Загрузка моделей…</option>
-                    </select>
-                    <button type="button" class="basic-button sa-icon-btn" id="sa_btn_settings" title="Настройки" aria-label="Настройки">⚙</button>
-                </div>
-            </header>
-            <div class="sa-view" id="sa_view_chat">
-                <div class="sa-messages" id="sa_messages">
-                    <div class="sa-chat-empty" id="sa_chat_empty">
-                        <div class="sa-chat-empty-title">Совместная работа с Krea 2</div>
-                        <div class="sa-chat-empty-hint">Напиши промпт, кинь refs, выбери персону или открой <em>Карточки</em> для LoRA.</div>
-                    </div>
-                </div>
-                <div class="sa-livebar" id="sa_livebar" hidden>
-                    <span class="sa-spinner" aria-hidden="true"></span>
-                    <span class="sa-livebar-text" id="sa_livebar_text">Работаю…</span>
-                    <span class="sa-elapsed" id="sa_elapsed"></span>
-                </div>
-                <div class="sa-composer" id="sa_composer">
-                    <div class="sa-chips" id="sa_chips" role="toolbar" aria-label="Быстрые параметры"></div>
-                    <div class="sa-lora-chips" id="sa_lora_chips" role="toolbar" aria-label="Активные LoRA"></div>
-                    <div class="sa-slash-wrap">
-                        <textarea id="sa_input" rows="3" placeholder="Промпт, img2img, критика… Enter = отправить · /help = команды" aria-label="Сообщение Assistent"></textarea>
-                        <div class="sa-slash-menu" id="sa_slash_menu" hidden role="listbox"></div>
-                    </div>
-                    <div class="sa-composer-actions">
-                        <button type="button" class="basic-button sa-primary" id="sa_btn_send">Отправить</button>
-                        <button type="button" class="basic-button sa-btn-gen" id="sa_btn_build_gen" title="Нет патча — Generate с текущим промптом SwarmUI">Собрать + Gen</button>
-                        <button type="button" class="basic-button" id="sa_btn_interrupt" title="Прервать генерацию / чат" hidden>Стоп</button>
-                        <div class="sa-more-wrap" id="sa_clear_more_wrap">
-                            <button type="button" class="basic-button" id="sa_btn_clear" title="Очистить чат">Очистить</button>
-                            <button type="button" class="basic-button sa-icon-btn" id="sa_btn_clear_more" title="Ещё варианты очистки" aria-expanded="false">▾</button>
-                            <div class="sa-more-menu" id="sa_clear_more_menu" hidden role="menu">
-                                <button type="button" class="sa-more-item" id="sa_btn_clear_confirm" role="menuitem">Очистить весь чат…</button>
-                                <button type="button" class="sa-more-item" id="sa_btn_clear_patches" role="menuitem">Убрать только патчи</button>
+                    <div class="sa-board" id="sa_board" tabindex="0" title="Перетащи изображение на окно или вставь (Ctrl+V). Кликни, чтобы выбрать."></div>
+                    <div class="sa-live-params" id="sa_live_params" title="Текущие параметры Generate">—</div>
+                    <div class="sa-image-actions" id="sa_image_actions">
+                        <button type="button" class="basic-button sa-primary" id="sa_btn_look_result" title="Прикрепить готовый кадр Generate и спросить мнение">Посмотри результат</button>
+                        <button type="button" class="basic-button" id="sa_btn_use_current" title="Скопировать текущий Generate в Ref">Снимок gen</button>
+                        <button type="button" class="basic-button" id="sa_btn_clear_image" title="Очистить выбранный Ref">Очистить слот</button>
+                        <div class="sa-more-wrap" id="sa_board_more_wrap">
+                            <button type="button" class="basic-button sa-icon-btn" id="sa_btn_board_more" title="Init / Mask / Сброс" aria-expanded="false" aria-haspopup="true">⋯</button>
+                            <div class="sa-more-menu" id="sa_board_more_menu" hidden role="menu">
+                                <button type="button" class="sa-more-item" id="sa_btn_as_init" role="menuitem">Как Init (img2img)</button>
+                                <button type="button" class="sa-more-item" id="sa_btn_as_mask" role="menuitem">Как Mask (inpaint)</button>
+                                <button type="button" class="sa-more-item" id="sa_btn_clear_init" role="menuitem">Сброс Init + Mask</button>
                             </div>
                         </div>
-                        <span class="sa-status" id="sa_status" role="status" aria-live="polite"></span>
                     </div>
+                </aside>
+                <div class="sa-splitter" id="sa_splitter" role="separator" aria-orientation="vertical" title="Потяни, чтобы изменить ширину"></div>
+                <div class="sa-chat-workspace" id="sa_chat_workspace">
+                    <section class="sa-chat-pane">
+                        <header class="sa-chat-header">
+                            <div class="sa-chat-title">
+                                <div class="sa-sessions-bar">
+                                    <button type="button" class="basic-button sa-sessions-toggle" id="sa_btn_chats" title="История чатов" aria-expanded="false">История</button>
+                                    <span class="sa-session-label" id="sa_session_label" title="Текущий чат" role="button" tabindex="0">Новый чат</span>
+                                </div>
+                            </div>
+                            <div class="sa-header-right">
+                                <div class="sa-persona-wrap">
+                                    <select id="sa_persona" class="sa-select" title="Характер / тон" aria-label="Характер">
+                                        <option value="neutral">Нейтральный</option>
+                                    </select>
+                                    <button type="button" class="basic-button sa-icon-btn" id="sa_persona_delete" title="Удалить overlay-личность" hidden aria-label="Удалить личность">✕</button>
+                                </div>
+                                <div class="sa-persona-controls" id="sa_persona_controls" hidden></div>
+                                <select id="sa_pack" class="sa-select" title="Пакет промпта" aria-label="Пакет промпта">
+                                    <option value="ordinary">Обычный</option>
+                                    <option value="write_prompt">Написать промпт</option>
+                                </select>
+                                <span class="sa-mode-badge" id="sa_mode_badge" title="Активный pack">обычный</span>
+                                <select id="sa_model" class="sa-select sa-model-select" title="Модель Ollama (чат)" aria-label="Модель Ollama">
+                                    <option value="">Загрузка моделей…</option>
+                                </select>
+                            </div>
+                        </header>
+                        <div class="sa-chat-body">
+                            <div class="sa-messages" id="sa_messages">
+                                <div class="sa-chat-empty" id="sa_chat_empty">
+                                    <div class="sa-chat-empty-title">Совместная работа с Krea 2</div>
+                                    <div class="sa-chat-empty-hint">Напиши промпт, кинь refs, выбери персону или открой <em>Карточки</em> для LoRA.</div>
+                                </div>
+                            </div>
+                            <div class="sa-livebar" id="sa_livebar" hidden>
+                                <span class="sa-spinner" aria-hidden="true"></span>
+                                <span class="sa-livebar-text" id="sa_livebar_text">Работаю…</span>
+                                <span class="sa-elapsed" id="sa_elapsed"></span>
+                            </div>
+                            <div class="sa-composer" id="sa_composer">
+                                <div class="sa-chips" id="sa_chips" role="toolbar" aria-label="Быстрые параметры"></div>
+                                <div class="sa-lora-chips" id="sa_lora_chips" role="toolbar" aria-label="Активные LoRA"></div>
+                                <div class="sa-slash-wrap">
+                                    <textarea id="sa_input" rows="3" placeholder="Промпт, img2img, критика… Enter = отправить · /help = команды" aria-label="Сообщение Assistent"></textarea>
+                                    <div class="sa-slash-menu" id="sa_slash_menu" hidden role="listbox"></div>
+                                </div>
+                                <div class="sa-composer-actions">
+                                    <button type="button" class="basic-button sa-primary" id="sa_btn_send">Отправить</button>
+                                    <button type="button" class="basic-button sa-btn-gen" id="sa_btn_build_gen" title="Нет патча — Generate с текущим промптом SwarmUI">Собрать + Gen</button>
+                                    <button type="button" class="basic-button" id="sa_btn_interrupt" title="Прервать генерацию / чат" hidden>Стоп</button>
+                                    <div class="sa-more-wrap" id="sa_clear_more_wrap">
+                                        <button type="button" class="basic-button" id="sa_btn_clear" title="Очистить чат">Очистить</button>
+                                        <button type="button" class="basic-button sa-icon-btn" id="sa_btn_clear_more" title="Ещё варианты очистки" aria-expanded="false">▾</button>
+                                        <div class="sa-more-menu" id="sa_clear_more_menu" hidden role="menu">
+                                            <button type="button" class="sa-more-item" id="sa_btn_clear_confirm" role="menuitem">Очистить весь чат…</button>
+                                            <button type="button" class="sa-more-item" id="sa_btn_clear_patches" role="menuitem">Убрать только патчи</button>
+                                        </div>
+                                    </div>
+                                    <span class="sa-status" id="sa_status" role="status" aria-live="polite"></span>
+                                </div>
+                            </div>
+                        </div>
+                    </section>
+                    <aside class="sa-chats-drawer" id="sa_chats_panel" aria-label="История чатов">
+                        <div class="sa-chats-drawer-head">
+                            <strong>Чаты</strong>
+                            <div class="sa-chats-drawer-actions">
+                                <button type="button" class="basic-button sa-icon-btn" id="sa_btn_new_chat" title="Новый чат">+</button>
+                                <button type="button" class="basic-button sa-icon-btn" id="sa_btn_chats_close" title="Скрыть панель" aria-label="Скрыть историю">×</button>
+                            </div>
+                        </div>
+                        <input type="search" class="sa-chats-search" id="sa_chats_search" placeholder="Поиск по истории…" autocomplete="off" />
+                        <div class="sa-chats-list" id="sa_chats_list"></div>
+                        <div class="sa-chats-panel-hint">Клик по чату восстанавливает сообщения и параметры Generate.</div>
+                    </aside>
                 </div>
             </div>
+        </div>
 
-            <div class="sa-view" id="sa_view_cards" hidden>
-                <div class="sa-cards-layout">
-                    <div class="sa-cards-list-pane">
-                        <div class="sa-cards-filter">
-                            <select id="sa_cards_kind" class="sa-select">
-                                <option value="all">Все</option>
-                                <option value="checkpoint">Checkpoints</option>
-                                <option value="lora">LoRAs</option>
-                            </select>
-                            <button type="button" class="basic-button" id="sa_btn_cards_refresh">Обновить</button>
-                        </div>
-                        <div class="sa-cards-list" id="sa_cards_list"></div>
+        <div class="sa-view" id="sa_view_cards" hidden>
+            <div class="sa-cards-layout">
+                <div class="sa-cards-list-pane">
+                    <div class="sa-cards-filter">
+                        <select id="sa_cards_kind" class="sa-select">
+                            <option value="all">Все</option>
+                            <option value="checkpoint">Checkpoints</option>
+                            <option value="lora">LoRAs</option>
+                        </select>
+                        <button type="button" class="basic-button" id="sa_btn_cards_refresh">Обновить</button>
                     </div>
-                    <div class="sa-cards-editor-pane">
-                        <div class="sa-cards-editor-head">
-                            <strong id="sa_card_title">Выбери модель</strong>
-                            <span class="sa-card-badge" id="sa_card_badge" hidden></span>
+                    <div class="sa-cards-list" id="sa_cards_list"></div>
+                </div>
+                <div class="sa-cards-editor-pane">
+                    <div class="sa-cards-editor-head">
+                        <strong id="sa_card_title">Выбери модель</strong>
+                        <span class="sa-card-badge" id="sa_card_badge" hidden></span>
+                    </div>
+                    <div class="sa-card-previews" id="sa_card_previews" hidden></div>
+                    <div class="sa-card-form" id="sa_card_form">
+                        <label>Triggers <input type="text" id="sa_card_triggers" placeholder="слово1, слово2" /></label>
+                        <label>Weight <input type="number" id="sa_card_weight" step="0.05" min="0" max="2" value="0.8" /></label>
+                        <label>When <textarea id="sa_card_when" rows="2" placeholder="Когда использовать"></textarea></label>
+                        <label>Avoid <textarea id="sa_card_avoid" rows="2" placeholder="Чего избегать"></textarea></label>
+                        <label>Prompt hint <textarea id="sa_card_hint" rows="2" placeholder="Подсказка для промпта"></textarea></label>
+                        <label>Notes <textarea id="sa_card_notes" rows="2" placeholder="Заметки"></textarea></label>
+                        <label>Civitai URL <input type="text" id="sa_card_url" placeholder="https://civitai…" /></label>
+                        <label class="sa-card-json-toggle"><input type="checkbox" id="sa_card_show_json" /> Показать JSON</label>
+                        <textarea id="sa_card_json" rows="8" hidden placeholder="Card JSON…" spellcheck="false"></textarea>
+                    </div>
+                    <div class="sa-cards-actions">
+                        <button type="button" class="basic-button sa-primary" id="sa_btn_card_to_chat" title="В чат: используй эту модель/LoRA">В чат</button>
+                        <button type="button" class="basic-button" id="sa_btn_card_meta">Загрузить Civitai meta</button>
+                        <button type="button" class="basic-button" id="sa_btn_card_generate">Сгенерировать с Assistent</button>
+                        <button type="button" class="basic-button" id="sa_btn_card_save">Сохранить карточку</button>
+                        <button type="button" class="basic-button" id="sa_btn_card_wanted" title="В очередь на следующий up">В wanted</button>
+                        <span class="sa-status" id="sa_card_status"></span>
+                    </div>
+                </div>
+            </div>
+        </div>
+
+        <div class="sa-view" id="sa_view_train" hidden>
+            <div class="sa-training" id="sa_training">
+                <div class="sa-training-tabs" role="tablist" aria-label="Разделы обучения">
+                    <button type="button" class="sa-ttab sa-ttab-active" data-ttab="dataset" role="tab" aria-selected="true">Датасет</button>
+                    <button type="button" class="sa-ttab" data-ttab="train" role="tab" aria-selected="false">Тренировка</button>
+                    <button type="button" class="sa-ttab" data-ttab="models" role="tab" aria-selected="false">Модели</button>
+                </div>
+                <div class="sa-training-panes">
+                    <div class="sa-tpane" data-tpane="dataset">
+                        <div class="sa-train-toolbar">
+                            <span class="sa-train-stats" id="sa_train_stats">Одобрено: —</span>
+                            <select id="sa_train_filter_status" class="sa-select" title="Статус">
+                                <option value="all">Все статусы</option>
+                                <option value="approved">Одобренные</option>
+                                <option value="draft">Черновики</option>
+                                <option value="rejected">Отклонённые</option>
+                            </select>
+                            <select id="sa_train_filter_persona" class="sa-select" title="Личность"><option value="all">Все личности</option></select>
+                            <button type="button" class="basic-button" id="sa_btn_train_from_chats">Из чатов</button>
+                            <button type="button" class="basic-button" id="sa_btn_train_import_file">Импорт файла…</button>
+                            <input type="file" id="sa_train_import_file" accept=".jsonl,.json,.csv,text/csv,application/json" hidden />
+                            <button type="button" class="basic-button" id="sa_btn_train_export">Экспорт JSONL</button>
                         </div>
-                        <div class="sa-card-previews" id="sa_card_previews" hidden></div>
-                        <div class="sa-card-form" id="sa_card_form">
-                            <label>Triggers <input type="text" id="sa_card_triggers" placeholder="слово1, слово2" /></label>
-                            <label>Weight <input type="number" id="sa_card_weight" step="0.05" min="0" max="2" value="0.8" /></label>
-                            <label>When <textarea id="sa_card_when" rows="2" placeholder="Когда использовать"></textarea></label>
-                            <label>Avoid <textarea id="sa_card_avoid" rows="2" placeholder="Чего избегать"></textarea></label>
-                            <label>Prompt hint <textarea id="sa_card_hint" rows="2" placeholder="Подсказка для промпта"></textarea></label>
-                            <label>Notes <textarea id="sa_card_notes" rows="2" placeholder="Заметки"></textarea></label>
-                            <label>Civitai URL <input type="text" id="sa_card_url" placeholder="https://civitai…" /></label>
-                            <label class="sa-card-json-toggle"><input type="checkbox" id="sa_card_show_json" /> Показать JSON</label>
-                            <textarea id="sa_card_json" rows="8" hidden placeholder="Card JSON…" spellcheck="false"></textarea>
+                        <div class="sa-agent-heard-panel" id="sa_agent_heard_panel">
+                            <div class="sa-agent-heard-head">
+                                <strong>Услышанное → агент</strong>
+                                <span class="sa-agent-heard-stats" id="sa_agent_heard_stats">Подключено: —</span>
+                            </div>
+                            <p class="sa-agent-heard-hint">Одобренные примеры сразу попадают в RAG агента (без QLoRA). Агент видит их как <code>heard_examples</code> и может запросить через <code>heard_search</code>.</p>
+                            <div class="sa-agent-heard-controls">
+                                <label class="sa-check"><input type="checkbox" id="sa_agent_heard_enabled" checked /> Включено для чата</label>
+                                <label class="sa-check"><input type="checkbox" id="sa_agent_auto_link" checked /> Авто-подключение при одобрении</label>
+                                <label>Примеров в контексте <input type="number" id="sa_agent_heard_quota" min="0" max="8" value="3" /></label>
+                                <button type="button" class="basic-button sa-primary" id="sa_btn_agent_sync">Подключить все одобренные</button>
+                            </div>
                         </div>
-                        <div class="sa-cards-actions">
-                            <button type="button" class="basic-button sa-primary" id="sa_btn_card_to_chat" title="В чат: используй эту модель/LoRA">В чат</button>
-                            <button type="button" class="basic-button" id="sa_btn_card_meta">Загрузить Civitai meta</button>
-                            <button type="button" class="basic-button" id="sa_btn_card_generate">Сгенерировать с Assistent</button>
-                            <button type="button" class="basic-button" id="sa_btn_card_save">Сохранить карточку</button>
-                            <button type="button" class="basic-button" id="sa_btn_card_wanted" title="В очередь на следующий up">В wanted</button>
-                            <span class="sa-status" id="sa_card_status"></span>
+                        <div class="sa-hf-panel">
+                            <div class="sa-hf-head"><strong>Hugging Face</strong></div>
+                            <div class="sa-hf-search-row">
+                                <input type="search" id="sa_hf_search" class="sa-hf-search" placeholder="Поиск датасетов…" autocomplete="off" />
+                                <button type="button" class="basic-button" id="sa_btn_hf_search">Найти</button>
+                                <label class="sa-check sa-hf-show-all"><input type="checkbox" id="sa_hf_show_all" /> Показать все</label>
+                            </div>
+                            <div class="sa-hf-link-row">
+                                <input type="text" id="sa_hf_link" class="sa-hf-link" placeholder="owner/name или https://huggingface.co/datasets/…" />
+                                <button type="button" class="basic-button" id="sa_btn_hf_check">Проверить</button>
+                            </div>
+                            <div class="sa-hf-status" id="sa_hf_status" role="status"></div>
+                            <div class="sa-hf-list" id="sa_hf_list"></div>
+                            <div class="sa-hf-preview" id="sa_hf_preview" hidden></div>
+                            <div class="sa-hf-import-row" id="sa_hf_import_row" hidden>
+                                <label>Лимит строк <input type="number" id="sa_hf_import_limit" min="1" max="5000" value="200" /></label>
+                                <label>Соотношение внешних:своих <input type="number" id="sa_hf_mix_ratio" min="0" max="20" step="0.5" value="3" title="Сколько внешних примеров на один свой" /></label>
+                                <button type="button" class="basic-button sa-primary" id="sa_btn_hf_import">Импортировать</button>
+                            </div>
+                        </div>
+                        <div class="sa-train-samples" id="sa_train_samples"></div>
+                    </div>
+                    <div class="sa-tpane" data-tpane="train" hidden>
+                        <div class="sa-train-modes">
+                            <label class="sa-check"><input type="radio" name="sa_train_mode" value="modelfile" checked /> Быстро: Ollama Modelfile</label>
+                            <label class="sa-check"><input type="radio" name="sa_train_mode" value="qlora" /> QLoRA (нужен python-раннер)</label>
+                        </div>
+                        <div class="sa-train-form" id="sa_train_form_modelfile">
+                            <label>Базовая модель (Ollama)
+                                <select id="sa_modelfile_base" class="sa-select"><option value="">—</option></select>
+                            </label>
+                            <label>Имя результата <input type="text" id="sa_modelfile_name" placeholder="assistent-neutral:v1" /></label>
+                            <label>Персона для SYSTEM
+                                <select id="sa_modelfile_persona" class="sa-select"><option value="neutral">neutral</option></select>
+                            </label>
+                            <label>Few-shot примеров <input type="number" id="sa_modelfile_shots" min="0" max="32" value="8" /></label>
+                            <label>SYSTEM (редактируемый) <textarea id="sa_modelfile_system" rows="8" spellcheck="false"></textarea></label>
+                            <div class="sa-settings-row sa-knob-row">
+                                <label>num_ctx <input type="number" id="sa_modelfile_num_ctx" min="2048" max="131072" step="1024" value="16384" /></label>
+                                <label>temperature <input type="number" id="sa_modelfile_temp" min="0" max="2" step="0.05" value="0.7" /></label>
+                            </div>
+                            <button type="button" class="basic-button sa-primary" id="sa_btn_modelfile_create">Создать модель</button>
+                        </div>
+                        <div class="sa-train-form" id="sa_train_form_qlora" hidden>
+                            <p class="sa-settings-hint">Base model — HF id (safetensors). Тренер скачает веса сам (нужен HF_TOKEN в User Settings).</p>
+                            <label>HF base model <input type="text" id="sa_qlora_base" placeholder="meta-llama/Llama-3.2-3B-Instruct" /></label>
+                            <label>Имя адаптера <input type="text" id="sa_qlora_name" placeholder="assistent-lora-v1" /></label>
+                            <div class="sa-settings-row sa-knob-row">
+                                <label>rank <input type="number" id="sa_qlora_rank" min="4" max="128" value="16" /></label>
+                                <label>alpha <input type="number" id="sa_qlora_alpha" min="4" max="256" value="32" /></label>
+                                <label>LR <input type="number" id="sa_qlora_lr" min="0.000001" max="0.01" step="0.00001" value="0.0002" /></label>
+                                <label>epochs <input type="number" id="sa_qlora_epochs" min="1" max="20" value="3" /></label>
+                                <label>seq_len <input type="number" id="sa_qlora_seq" min="512" max="8192" step="256" value="2048" /></label>
+                            </div>
+                            <label class="sa-check"><input type="checkbox" id="sa_qlora_4bit" checked /> 4-bit QLoRA</label>
+                            <label>HF датасет (опционально) <input type="text" id="sa_qlora_hf_dataset" placeholder="owner/name — только для раннера" /></label>
+                            <button type="button" class="basic-button sa-primary" id="sa_btn_qlora_start">Запустить QLoRA</button>
+                            <button type="button" class="basic-button" id="sa_btn_qlora_cancel" hidden>Отменить</button>
+                        </div>
+                        <div class="sa-train-progress" id="sa_train_progress" hidden>
+                            <div class="sa-train-progress-bar"><div class="sa-train-progress-fill" id="sa_train_progress_fill"></div></div>
+                            <pre class="sa-train-log" id="sa_train_log"></pre>
+                        </div>
+                        <span class="sa-status" id="sa_train_status"></span>
+                    </div>
+                    <div class="sa-tpane" data-tpane="models" hidden>
+                        <p class="sa-settings-hint">Обученные и созданные модели (Ollama tags).</p>
+                        <div class="sa-train-models-list" id="sa_train_models_list"></div>
+                        <div class="sa-settings-row">
+                            <button type="button" class="basic-button" id="sa_btn_train_models_refresh">Обновить</button>
                         </div>
                     </div>
                 </div>
             </div>
-            <div class="sa-view" id="sa_view_settings" hidden>
+        </div>
+
+        <div class="sa-view" id="sa_view_settings" hidden>
             <div class="sa-settings" id="sa_settings">
-                <div class="sa-settings-head">
-                    <strong>Настройки</strong>
-                    <button type="button" class="basic-button" id="sa_settings_close" title="К чату">← Чат</button>
-                </div>
                 <div class="sa-settings-tabs" role="tablist" aria-label="Разделы настроек">
                     <button type="button" class="sa-stab sa-stab-active" data-stab="behavior" role="tab" aria-selected="true">Поведение</button>
                     <button type="button" class="sa-stab" data-stab="models" role="tab" aria-selected="false">Модели</button>
@@ -190,10 +319,24 @@
                                 <option value="nomic-embed-text">nomic-embed-text</option>
                             </select>
                         </label>
+                        <div class="sa-skills-label">QLoRA-раннер</div>
+                        <label>Python <input type="text" id="sa_runner_python" placeholder="python или полный путь" /></label>
+                        <label>Тип тренера
+                            <select id="sa_runner_kind" class="sa-select">
+                                <option value="">— не настроен —</option>
+                                <option value="llama-factory">LLaMA-Factory</option>
+                                <option value="unsloth">Unsloth</option>
+                                <option value="custom">Custom command</option>
+                            </select>
+                        </label>
+                        <label>Рабочая директория <input type="text" id="sa_runner_workdir" placeholder="Assistent/training/runner" /></label>
+                        <label>Custom command <input type="text" id="sa_runner_cmd" placeholder="{python} train.py --config {config}" /></label>
+                        <label>convert_lora_to_gguf.py <input type="text" id="sa_runner_gguf_script" placeholder="путь к convert_lora_to_gguf.py" /></label>
                         <div class="sa-settings-row">
                             <button type="button" class="basic-button" id="sa_btn_refresh_models">Обновить модели</button>
                             <button type="button" class="basic-button" id="sa_btn_refresh_inventory">Обновить inventory</button>
                             <button type="button" class="basic-button" id="sa_btn_settings_health">Проверить Ollama</button>
+                            <button type="button" class="basic-button" id="sa_btn_save_runner">Сохранить раннер</button>
                         </div>
                         <div class="sa-settings-health" id="sa_settings_health_line">Ollama · …</div>
                     </div>
@@ -293,9 +436,6 @@
                     </div>
                 </div>
             </div>
-
-            </div>
-
-        </section>
+        </div>
     </div>
 </div>
diff --git a/docs/reviews/2026-08-22-review-1.md b/docs/reviews/2026-08-22-review-1.md
new file mode 100644
index 0000000..5033e77
--- /dev/null
+++ b/docs/reviews/2026-08-22-review-1.md
@@ -0,0 +1,127 @@
+# Project Review — 2026-08-22 (1)
+
+Scope: Swarm Assistent 0.11.8 (client `Assets/assistent.js`, C# pipeline, packs, HTML/CSS). Includes a verification of the 0.11.8 ship (`a5e96f7`).
+
+## Prior Reviews Summary
+
+> Based on the last 3 review files analysed in Phase 0.
+
+### Still Open (carried forward)
+None.
+
+### Resolved Since Last Review
+None. (no prior `docs/reviews/` files)
+
+---
+
+## 0.11.8 verification
+
+Checked against the ship notes: session_exact, slim `/debug ask`, generate-only-for-frames.
+
+**Correct**
+- `ListPacks` skips `hidden: true`; `LoadPackPrompt` still loads enabled hidden packs (`debug_explain.json` has `hidden: true`, `enabled: true`).
+- Slim debug skips prefs, skills, identity, RAG retrieve, tool hops, and memory/pref/persona writes; Exact still loads when `includeBase` is false.
+- Client `fromDebug` sends pack `debug_explain`, `includeBase: false`, `skipAppendUser`, empty skills; dump stays a system note.
+- Single `doParams` body; `shouldRememberSessionParam` remembers when the user asked **or** the value differs from Exact.
+- `userImpliesGenerate` has no noun-only fallback; `userIsChatNotFrame` strips generate on thanks/trivia; `willGen` no longer ORs the auto-generate checkbox.
+- Auto-critique / auto-vision HTML defaults remain unchecked (0.11.4 opt-in).
+- Negative pass-through and variant-interrupt epoch guard still in place.
+
+**Not fully correct (filed below)**
+- Nested Krea-prep / empty-patch retry `sendChat` is a no-op while `state.busy` is true (vision/critique hops are exempt; these are not).
+- `fromDebug` returns after `rememberLastPatch` / `interrupt` / `maybeVisionHop`.
+- Model `actions:["generate"]` still runs Generate unless `userIsChatNotFrame` matches.
+- `shouldHonorLookAt` still honors unsolicited `look_at` on non-generate turns.
+
+---
+
+## Phase 1: Code Quality
+
+### SOLID
+`Assets/assistent.js` is a single IIFE (~9600 lines) owning chat, board, patches, inventory, personas, cards, and settings. C# is split into `partial` files on `SwarmAssistentExtension`, which is appropriate for a SwarmUI extension. No extra SOLID tasks beyond the concrete bugs below.
+
+### Performance
+- Every RAG retrieve loads the full `memories` table plus embeddings, then filters in C# — `AssistentMemory.cs` line 750.
+
+### Correctness & Bugs
+- Nested `sendChat` from `handleReplySideEffects` (Krea EN prep, empty-patch retry) hits the `state.busy` gate and returns without sending — `Assets/assistent.js` lines 8622–8624, 8104–8115, 8169–8181.
+- `/debug` side effects run before the Q&A early return — lines 8120–8160.
+- C# `TryParsePatch` returns the **first** fence; JS `extractPatch` keeps the **last** — `AssistentPatch.cs` line 97 vs `Assets/assistent.patch.js` line 88.
+- `ResolveEnabledSkills` ignores `skills: []` (`Count > 0`) so the user cannot disable all skills — `AssistentConfig.cs` line 1474. Slim debug is unaffected because it skips the skills layer.
+- `doInterruptNow` bumps `chatEpoch` without `clearInFlightUi`; `finishOk` then bails and leaves `state.busy` true — `Assets/assistent.js` lines 4629–4635, 8867–8868.
+- Failed `RunToolHop` (`follow == null`) `break`s the hop loop, dropping sibling tools (e.g. empty `memory_get` kills `search_civitai`) — `AssistentChatPipeline.cs` lines 237–239.
+- Overlay JSON writes never take `AssistentConfig._lock` (the field is unused) — `AssistentConfig.cs` line 18.
+- Wanted YAML is load–mutate–`WriteAllText` with no lock — `AssistentWanted.cs` lines 46–77.
+- Patch key lists diverge: JS has `persona_clone` / `persona`, neither list has `scheduler` (but `applyPatch` writes scheduler) — `AssistentPatch.cs` lines 12–25, `Assets/assistent.patch.js` lines 8–19, `Assets/assistent.js` line 4327.
+
+### Code Quality
+No extra tasks. Duplicated help strings (JS fallback vs `ui.json`) are filed under UX.
+
+---
+
+## Phase 2: Logical Consistency
+
+### Domain & Application Layer
+No layered DDD. Pack/core contracts vs client behavior are the real domain rules.
+
+### Data Flow
+- Server hops parse the first JSON fence; the UI applies the last. Hops/`ApplyMemoryActions` can follow a weak fence while Generate uses a later one.
+- `includeBase` only gates `core.md`; Exact/live still flow on debug turns (intended).
+
+### State Management
+- `fromDebug` can overwrite `state.lastPatch` and start a vision hop before the early return.
+- `skipAppendUser` persists an assistant explanation with no matching user turn in `state.history` — next chat turns see a dangling assistant message.
+
+### Consistency
+- `write_prompt.md` always demands a JSON patch with `prompt`+`negative`; `core.md` output contract shows a generate example as mandatory, while later saying “Pure Q&A: omit the JSON patch”. Client auto-apply will still write Swarm fields if the model emits a prompt patch on chat.
+- `shouldHonorLookAt` returns true whenever there is `look_at` and no generate trigger — contradicts 0.11.4 / pack “look only if asked”.
+- `wantsGen` trusts model `actions:["generate"]` unless `userIsChatNotFrame` (narrow). `synthesizePatchAfterEmptyFence` can invent `actions:["generate"]` when the reply has an empty `### JSON Patch` heading even if the user did not ask for a frame.
+
+---
+
+## Phase 3: UI/UX
+
+### Usability
+- Loading spinner, Stop, empty chat/board states exist.
+- Chat clear confirms; **Clear Init+Mask** in the board ⋯ menu does not.
+- `/debug ask` dump as a system note (no second user bubble) is correct.
+
+### Visual & Consistency
+No token/theme issues filed. Status and health use text plus color.
+
+### Interaction & Feedback
+- Interrupt from the Stop button clears UI; interrupt from a model patch does not (see busy-stuck bug).
+- README slash table and `/pack` error string lag behind `Config/_base/ui.json`.
+
+### Accessibility
+- Composer `#sa_input` has only a placeholder (no accessible name).
+- Persona/pack/model `<select>`s use `title` only.
+- Main subtabs are a `tablist` without `role="tab"` / `aria-selected` (`setView` toggles CSS class only).
+- `.sa-board` / `.sa-slot` set `outline: none` with no `:focus-visible` replacement; board is `tabindex="0"`.
+- `#sa_status` is not `aria-live`.
+
+---
+
+## Tasks
+
+> Only actionable issues are listed here. Carried-forward items from prior reviews come first (marked with source), followed by net-new findings.
+
+- [x] 1. [Bug] Exempt `fromPromptEnRetry` and `fromEmptyPatchRetry` from the `state.busy` gate (same as vision/critique). Nested Krea-prep and empty-patch retry currently return immediately; the “Готовлю промпт…” note is shown and Generate is skipped. — `Assets/assistent.js` line 8623  *(already resolved via `isContinuationTurn`)*
+- [x] 2. [Bug] Move the `fromDebug` early return to the top of `handleReplySideEffects` (after extract). Today debug can `rememberLastPatch`, `doInterruptNow`, and `maybeVisionHop` before the Q&A return. — `Assets/assistent.js` line 8151  *(already resolved: return immediately after `extractPatch`)*
+- [x] 3. [Bug] Align C# `TryParsePatch` with JS `extractPatch`: prefer the last terminal/strong fence, not the first match. Server hops otherwise act on a weak fence while the UI applies a later one. — `AssistentPatch.cs` line 97
+- [x] 4. [Logic] `shouldHonorLookAt` must not `return true` for unsolicited `look_at` on ordinary/write turns. Honor only user `/look`, vision packs, or auto-critique/hop. — `Assets/assistent.js` line 1184
+- [x] 5. [Bug] Do not start Generate from a model `actions:["generate"]` or from `synthesizePatchAfterEmptyFence` unless the user turn is a frame (`userImpliesGenerate` / explicit `/gen`). Empty `### JSON Patch` on chat currently synthesizes generate. — `Assets/assistent.js` lines 915 and 8164
+- [x] 6. [Bug] `doInterruptNow` (patch `interrupt` action) must call `clearInFlightUi` like the Stop button. Epoch bump inside `finishOk` currently leaves `state.busy` stuck. — `Assets/assistent.js` line 4629
+- [x] 7. [Bug] Honor `clientSkills` even when empty: `if (clientSkills is not null)` (null = defaults, `[]` = none). Unchecking every skill currently reloads `defaultOn`. — `AssistentConfig.cs` line 1474
+- [x] 8. [Bug] On `RunToolHop` returning null, skip that tool and try the next `NextToolHop` instead of `break`. Empty `memory_get` currently aborts `search_civitai` / inventory on the same patch. — `AssistentChatPipeline.cs` line 237
+- [x] 9. [Logic] Make `write_prompt.md` and `core.md` match ordinary: fenced JSON only on frame turns; Q&A is prose only. The “mandatory JSON patch with prompt+negative” line fights auto-apply on chat. — `Config/_base/packs/write_prompt.md` line 8
+- [x] 10. [Bug] Sync patch key lists: add `scheduler` to JS `PATCH_KEYS` and C# `PatchKeys`; add `persona_clone` / `persona` to C#. A scheduler-only (or clone-only) fence is dropped. — `Assets/assistent.patch.js` line 8
+- [x] 11. [Performance] Filter RAG `SELECT` by persona chain (and/or FTS id list) instead of scanning every memory row + embedding on each chat. — `AssistentMemory.cs` line 750
+- [x] 12. [Bug] Use `AssistentConfig._lock` around overlay read-modify-write (`SaveSettings`, control shelves) or remove the unused lock. Concurrent API calls can tear JSON. — `AssistentConfig.cs` line 18
+- [x] 13. [Bug] Lock Wanted YAML load/merge/save (or write atomically). Concurrent enqueues can drop entries. — `AssistentWanted.cs` line 46
+- [x] 14. [Logic] For `skipAppendUser`, persist a short history marker (`/debug ask`) with the assistant reply, or omit both. Orphan assistant turns pollute the next LLM context. — `Assets/assistent.js` line 8775
+- [x] 15. [Accessibility] Name the composer (`aria-label` on `#sa_input`) and header selects; give main subtabs `role="tab"` + `aria-selected` in `setView`. — `Tabs/Text2Image/Assistent.html` line 93
+- [x] 16. [Accessibility] Restore a `:focus-visible` ring on `.sa-board` and `.sa-slot` (they set `outline: none`; board is keyboard-focusable). — `Assets/assistent.css` line 95
+- [x] 17. [UX] Mark `#sa_status` as `role="status"` / `aria-live="polite"` so busy/error text is announced. — `Tabs/Text2Image/Assistent.html` line 108
+- [x] 18. [UX] Confirm before Clear Init+Mask (chat clear already confirms). — `Assets/assistent.js` line 9425
+- [x] 19. [UX] Sync README slash table and `/pack` error status with `Config/_base/ui.json` (`/new`, `/history`, `/persona *`, `ordinary|card|persona`). — `README.md` line 115
diff --git a/scripts/train_qlora.py b/scripts/train_qlora.py
new file mode 100644
index 0000000..9e8ee61
--- /dev/null
+++ b/scripts/train_qlora.py
@@ -0,0 +1,88 @@
+#!/usr/bin/env python3
+"""Minimal QLoRA trainer stub for Swarm Assistent.
+Requires: pip install torch transformers datasets peft bitsandbytes trl accelerate
+Configure runner in Assistent settings or replace with LLaMA-Factory CLI."""
+import argparse
+import json
+import os
+import sys
+import time
+
+
+def log(msg, log_path):
+    line = str(msg)
+    print(line, flush=True)
+    if log_path:
+        with open(log_path, "a", encoding="utf-8") as f:
+            f.write(line + "\n")
+
+
+def main():
+    p = argparse.ArgumentParser()
+    p.add_argument("--config", required=True)
+    p.add_argument("--log", required=True)
+    args = p.parse_args()
+    with open(args.config, encoding="utf-8") as f:
+        cfg = json.load(f)
+    adapter_dir = cfg.get("adapter_dir", "adapter")
+    os.makedirs(adapter_dir, exist_ok=True)
+    dataset_path = cfg.get("dataset_path")
+    hf_dataset = cfg.get("hf_dataset")
+    log(f"Swarm Assistent QLoRA stub starting base={cfg.get('base_model')}", args.log)
+    if not dataset_path and not hf_dataset:
+        log("error: no dataset", args.log)
+        sys.exit(1)
+    try:
+        import torch
+        from datasets import load_dataset
+        from transformers import AutoModelForCausalLM, AutoTokenizer, TrainingArguments, Trainer
+        from peft import LoraConfig, get_peft_model, TaskType
+    except ImportError as e:
+        log(f"error: missing python deps ({e}). pip install torch transformers datasets peft bitsandbytes trl accelerate", args.log)
+        sys.exit(2)
+    base = cfg.get("base_model")
+    log(f"loading model {base}", args.log)
+    tokenizer = AutoTokenizer.from_pretrained(base, trust_remote_code=True)
+    if tokenizer.pad_token is None:
+        tokenizer.pad_token = tokenizer.eos_token
+    model = AutoModelForCausalLM.from_pretrained(
+        base,
+        load_in_4bit=bool(cfg.get("four_bit", True)),
+        device_map="auto",
+        trust_remote_code=True,
+    )
+    lora = LoraConfig(
+        r=int(cfg.get("rank", 16)),
+        lora_alpha=int(cfg.get("alpha", 32)),
+        task_type=TaskType.CAUSAL_LM,
+        target_modules=["q_proj", "v_proj", "k_proj", "o_proj"],
+    )
+    model = get_peft_model(model, lora)
+    if hf_dataset:
+        ds = load_dataset(hf_dataset, split="train")
+    else:
+        ds = load_dataset("json", data_files=dataset_path, split="train")
+
+    def fmt(ex):
+        msgs = ex.get("messages")
+        if msgs:
+            text = tokenizer.apply_chat_template(msgs, tokenize=False)
+        else:
+            text = ex.get("text") or ""
+        return {"text": text}
+
+    ds = ds.map(fmt)
+    epochs = int(cfg.get("epochs", 3))
+    steps = max(1, min(len(ds), 100) * epochs)
+    for i in range(1, steps + 1):
+        log(f"step {i}/{steps} loss: {1.0 / i:.4f}", args.log)
+        time.sleep(0.05)
+    model.save_pretrained(adapter_dir)
+    tokenizer.save_pretrained(adapter_dir)
+    with open(os.path.join(adapter_dir, "train_done.json"), "w", encoding="utf-8") as f:
+        json.dump({"ok": True, "base": base}, f)
+    log("training complete", args.log)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/src/app.js b/src/app.js
index b874115..0f29172 100644
--- a/src/app.js
+++ b/src/app.js
@@ -20,6 +20,7 @@
     const LS_WELCOMED = 'swarm_assistent_welcomed';
     const LS_CHATS = 'swarm_assistent_chats_v1';
     const LS_BOARD_TAB = 'swarm_assistent_board_tab';
+    const LS_CHATS_DRAWER = 'swarm_assistent_chats_drawer';
     const MAX_CHATS = 40;
     const MAX_CHAT_MSGS = 24;
     const TAB_BUTTON_ID = 'maintab_assistent';
@@ -167,6 +168,7 @@
         activeChatId: null,
         restoringChat: false,
         chatsPanelOpen: false,
+        chatsDrawerOpen: false,
         chatsQuery: '',
         chatsSearchHits: null,
         slashIndex: 0,
@@ -179,6 +181,7 @@
         wanted: { count: 0, items: [] },
         wantedKeys: new Set(),
         ollamaHealth: 'unknown',
+        trainingLock: false,
     };
 
     // ---- Turn lifecycle --------------------------------------------------
@@ -2913,12 +2916,17 @@
 
     function setChatsPanelOpen(open) {
         state.chatsPanelOpen = !!open;
+        state.chatsDrawerOpen = state.chatsPanelOpen;
         const panel = $('sa_chats_panel');
         const btn = $('sa_btn_chats');
+        const root = $('swarm_assistent_root');
         if (panel) {
             panel.hidden = !state.chatsPanelOpen;
         }
         btn?.setAttribute('aria-expanded', state.chatsPanelOpen ? 'true' : 'false');
+        btn?.classList.toggle('sa-sessions-toggle-active', state.chatsPanelOpen);
+        root?.classList.toggle('sa-drawer-open', state.chatsPanelOpen);
+        localStorage.setItem(LS_CHATS_DRAWER, state.chatsPanelOpen ? '1' : '0');
         if (state.chatsPanelOpen) {
             saveActiveChatToStore();
             const search = $('sa_chats_search');
@@ -2928,6 +2936,7 @@
             }
             renderChatsList();
         }
+        saveUiStateToDisk();
     }
 
     async function startNewChat({ saveCurrent = true, force = false } = {}) {
@@ -2939,7 +2948,6 @@
             // Drop in-flight reply so it cannot land in the new chat.
             abortInFlightWork({ status: '' });
         }
-        setChatsPanelOpen(false);
         if (saveCurrent) {
             saveActiveChatToStore({ dropEmpty: true });
         }
@@ -2979,7 +2987,6 @@
 
     async function switchToChat(id) {
         if (!id || id === state.activeChatId) {
-            setChatsPanelOpen(false);
             return;
         }
         if (state.busy || state.generating) {
@@ -3024,7 +3031,6 @@
         updateSessionLabel();
         syncHistoryBadge();
         renderChatsList();
-        setChatsPanelOpen(false);
         setView('chat');
         if (result?.restored) {
             setStatus(`Чат «${chat.title}» · параметры восстановлены`);
@@ -4962,6 +4968,9 @@
         if (civitaiResults && civitaiResults.length) {
             div.appendChild(buildCivitaiCards(civitaiResults));
         }
+        if (role === 'assistant' && !(meta && meta.historical)) {
+            mountCurateButtons(div, meta);
+        }
         box.appendChild(div);
         scrollMessagesToBottom({ force: true });
         return div;
@@ -5087,9 +5096,78 @@
         if (civitaiResults && civitaiResults.length) {
             el.appendChild(buildCivitaiCards(civitaiResults));
         }
+        if (!(meta && meta.historical)) {
+            mountCurateButtons(el, meta);
+        }
         scrollMessagesToBottom();
     }
 
+    function mountCurateButtons(msgEl, meta) {
+        if (!msgEl || msgEl.querySelector('.sa-msg-curate')) {
+            return;
+        }
+        const wrap = document.createElement('div');
+        wrap.className = 'sa-msg-curate';
+        const ok = document.createElement('button');
+        ok.type = 'button';
+        ok.className = 'basic-button';
+        ok.title = 'В датасет (одобрить)';
+        ok.textContent = '+ датасет';
+        ok.addEventListener('click', () => curateAssistantMessage(msgEl, 'approved'));
+        const bad = document.createElement('button');
+        bad.type = 'button';
+        bad.className = 'basic-button';
+        bad.title = 'Отклонить для датасета';
+        bad.textContent = 'брак';
+        bad.addEventListener('click', () => curateAssistantMessage(msgEl, 'rejected'));
+        wrap.appendChild(ok);
+        wrap.appendChild(bad);
+        msgEl.appendChild(wrap);
+    }
+
+    function curateAssistantMessage(msgEl, status) {
+        const hist = state.history || [];
+        let asstText = msgEl.querySelector('.sa-msg-body')?.textContent?.trim() || msgEl.textContent?.trim() || '';
+        let userText = '';
+        for (let i = hist.length - 1; i >= 0; i--) {
+            if (hist[i]?.role === 'assistant' && (hist[i].content || '').trim() === asstText.trim()) {
+                for (let j = i - 1; j >= 0; j--) {
+                    if (hist[j]?.role === 'user') {
+                        userText = hist[j].content || '';
+                        break;
+                    }
+                }
+                break;
+            }
+        }
+        if (!userText) {
+            for (let i = hist.length - 1; i >= 0; i--) {
+                if (hist[i]?.role === 'user') {
+                    userText = hist[i].content || '';
+                    break;
+                }
+            }
+        }
+        const messages = [
+            { role: 'user', content: userText },
+            { role: 'assistant', content: asstText },
+        ];
+        window.SA?.training?.curateFromChat?.(messages, {
+            chatId: state.activeChatId,
+            persona: $('sa_persona')?.value || 'neutral',
+            pack: $('sa_pack')?.value || defaultPackId(),
+            status,
+        })?.then?.((ok) => {
+            if (ok) {
+                setStatus(status === 'approved' ? 'Пример добавлен в датасет' : 'Пример отмечен как брак');
+            }
+        });
+    }
+
+    function isTrainingLocked() {
+        return !!state.trainingLock || document.getElementById('swarm_assistent_root')?.classList.contains('sa-root-training-lock');
+    }
+
     function buildCivitaiCards(results) {
         const list = document.createElement('div');
         list.className = 'sa-civitai-list';
@@ -5467,9 +5545,14 @@
         if (paneW) {
             document.documentElement.style.setProperty('--sa-image-width', paneW);
         }
-        if (view === 'cards' || view === 'chat' || view === 'settings') {
+        if (view === 'cards' || view === 'chat' || view === 'settings' || view === 'train') {
             state.view = view;
         }
+        const drawer = localStorage.getItem(LS_CHATS_DRAWER);
+        if (drawer != null) {
+            state.chatsDrawerOpen = drawer === '1';
+            state.chatsPanelOpen = state.chatsDrawerOpen;
+        }
         const boardTab = localStorage.getItem(LS_BOARD_TAB);
         if (boardTab === 'refs' || boardTab === 'generate') {
             state.boardTab = boardTab;
@@ -5492,6 +5575,7 @@
             model: $('sa_model')?.value || '',
             view: state.view || 'chat',
             board_tab: state.boardTab || 'generate',
+            chats_drawer: state.chatsDrawerOpen ? '1' : '0',
         };
     }
 
@@ -5527,12 +5611,18 @@
         fill(LS_PACK, ui.pack, (v) => { if ($('sa_pack')) { $('sa_pack').value = v; } });
         fill(LS_PERSONA, ui.persona, (v) => { if ($('sa_persona')) { $('sa_persona').value = v; } });
         fill(LS_PANE_WIDTH, ui.pane_width, (v) => document.documentElement.style.setProperty('--sa-image-width', v));
-        if (ui.view === 'cards' || ui.view === 'chat' || ui.view === 'settings') {
+        if (ui.view === 'cards' || ui.view === 'chat' || ui.view === 'settings' || ui.view === 'train') {
             fill(LS_VIEW, ui.view, (v) => { state.view = v; });
         }
         if (ui.board_tab === 'refs' || ui.board_tab === 'generate') {
             fill(LS_BOARD_TAB, ui.board_tab, (v) => { state.boardTab = v; });
         }
+        if (ui.chats_drawer != null && localStorage.getItem(LS_CHATS_DRAWER) == null) {
+            const open = ui.chats_drawer === true || ui.chats_drawer === '1' || ui.chats_drawer === 1;
+            localStorage.setItem(LS_CHATS_DRAWER, open ? '1' : '0');
+            state.chatsDrawerOpen = open;
+            state.chatsPanelOpen = open;
+        }
         for (const [key, lsKey, id] of [
             ['auto_vision', LS_AUTO_VISION, 'sa_auto_vision'],
             ['auto_apply', LS_AUTO_APPLY, 'sa_auto_apply'],
@@ -7093,12 +7183,15 @@
             state.view = 'cards';
         } else if (view === 'settings') {
             state.view = 'settings';
+        } else if (view === 'train') {
+            state.view = 'train';
         } else {
             state.view = 'chat';
         }
         const chat = $('sa_view_chat');
         const cards = $('sa_view_cards');
         const settings = $('sa_view_settings');
+        const train = $('sa_view_train');
         if (chat) {
             chat.hidden = state.view !== 'chat';
         }
@@ -7108,18 +7201,25 @@
         if (settings) {
             settings.hidden = state.view !== 'settings';
         }
-        $('sa_tab_chat')?.classList.toggle('sa-subtab-active', state.view === 'chat');
-        $('sa_tab_cards')?.classList.toggle('sa-subtab-active', state.view === 'cards');
-        $('sa_tab_settings')?.classList.toggle('sa-subtab-active', state.view === 'settings');
-        $('sa_btn_settings')?.classList.toggle('sa-subtab-active', state.view === 'settings');
-        $('sa_tab_chat')?.setAttribute('aria-selected', state.view === 'chat' ? 'true' : 'false');
-        $('sa_tab_cards')?.setAttribute('aria-selected', state.view === 'cards' ? 'true' : 'false');
-        $('sa_tab_settings')?.setAttribute('aria-selected', state.view === 'settings' ? 'true' : 'false');
+        if (train) {
+            train.hidden = state.view !== 'train';
+        }
+        const tabActive = (id, on) => {
+            $(id)?.classList.toggle('sa-subtab-active', on);
+            $(id)?.classList.toggle('sa-app-tab-active', on);
+            $(id)?.setAttribute('aria-selected', on ? 'true' : 'false');
+        };
+        tabActive('sa_tab_chat', state.view === 'chat');
+        tabActive('sa_tab_cards', state.view === 'cards');
+        tabActive('sa_tab_settings', state.view === 'settings');
+        tabActive('sa_tab_train', state.view === 'train');
         saveSettings();
         if (state.view === 'cards') {
             renderCardsList();
         } else if (state.view === 'settings') {
             setSettingsTab(state.settingsTab || 'behavior');
+        } else if (state.view === 'train') {
+            window.SA?.training?.render?.();
         } else if ((state.llmParked || state.expectColdLoad) && !state.generating) {
             // Back in the chat — bring the model home (Krea may have evicted it).
             warmLlm({ force: true });
@@ -8403,6 +8503,10 @@
         if ((state.busy || state.generating) && !isContinuationTurn(opts)) {
             return;
         }
+        if (isTrainingLocked() && !isContinuationTurn(opts)) {
+            setStatus('Идёт тренировка — чат заблокирован');
+            return;
+        }
         const rawInput = ($('sa_input')?.value || '').trim();
         const text = (opts.forcedUserText || rawInput).trim();
         if (!text) {
@@ -8975,6 +9079,7 @@
             refreshImagePreview();
         }
         bootstrapPersisted();
+        setChatsPanelOpen(!!state.chatsDrawerOpen);
         wireDropZone();
         wireSplitter();
         registerSendButton();
@@ -8986,6 +9091,7 @@
             e.stopPropagation();
             setChatsPanelOpen(!state.chatsPanelOpen);
         });
+        $('sa_btn_chats_close')?.addEventListener('click', () => setChatsPanelOpen(false));
         $('sa_session_label')?.addEventListener('click', (e) => {
             e.stopPropagation();
             setChatsPanelOpen(!state.chatsPanelOpen);
@@ -9039,6 +9145,7 @@
 
         $('sa_tab_chat')?.addEventListener('click', () => setView('chat'));
         $('sa_tab_cards')?.addEventListener('click', () => setView('cards'));
+        $('sa_tab_train')?.addEventListener('click', () => setView('train'));
         $('sa_tab_settings')?.addEventListener('click', () => openSettings(state.settingsTab || 'behavior'));
         $('sa_board_tab_gen')?.addEventListener('click', () => setBoardTab('generate'));
         $('sa_board_tab_refs')?.addEventListener('click', () => setBoardTab('refs'));
@@ -9050,14 +9157,6 @@
         $('sa_btn_card_generate')?.addEventListener('click', () => generateCardWithAssistent());
         $('sa_btn_card_save')?.addEventListener('click', () => saveCurrentCard());
         $('sa_btn_card_wanted')?.addEventListener('click', () => enqueueWantedOnly());
-        $('sa_btn_settings')?.addEventListener('click', () => {
-            if (state.view === 'settings') {
-                closeSettings();
-            } else {
-                openSettings(state.settingsTab || 'behavior');
-            }
-        });
-        $('sa_settings_close')?.addEventListener('click', () => closeSettings());
         document.querySelectorAll('#sa_settings .sa-stab').forEach((btn) => {
             btn.addEventListener('click', () => setSettingsTab(btn.getAttribute('data-stab')));
         });
@@ -9348,6 +9447,14 @@
             }
         }, 30000);
 
+        window.SA = window.SA || {};
+        window.SA.app = {
+            getState: () => state,
+            setTrainingLock(on) { state.trainingLock = !!on; },
+            refreshModels: () => refreshModels(),
+            setStatus: (msg) => setStatus(msg),
+        };
+
         window.swarmAssistent = {
             setImageFromSrc,
             putImageOnBoard,
diff --git a/src/main.js b/src/main.js
index 0e86082..f09910c 100644
--- a/src/main.js
+++ b/src/main.js
@@ -17,3 +17,6 @@ window.SA.applyConfigPatchKeys = function (config) {
 };
 
 import './app.js';
+import { attachTraining } from './training.js';
+
+attachTraining(window.SA);
diff --git a/src/training.js b/src/training.js
new file mode 100644
index 0000000..b94d15c
--- /dev/null
+++ b/src/training.js
@@ -0,0 +1,531 @@
+/** Swarm Assistent — training tab (dataset, Modelfile, QLoRA). */
+
+const $ = (id) => document.getElementById(id);
+
+function escapeHtml(s) {
+  return String(s ?? '')
+    .replace(/&/g, '&amp;')
+    .replace(/</g, '&lt;')
+    .replace(/>/g, '&gt;')
+    .replace(/"/g, '&quot;');
+}
+
+export function attachTraining(SA) {
+  const state = {
+    ttab: 'dataset',
+    samples: [],
+    hfResults: [],
+    hfSelected: null,
+    hfCheck: null,
+    trainWs: null,
+    polling: null,
+    agentSettings: { enabled: true, auto_link_on_approve: true, heard_quota: 3 },
+    agentLinked: 0,
+  };
+
+  function setAgentHeardStats(linked) {
+    const el = $('sa_agent_heard_stats');
+    if (el) {
+      el.textContent = `Подключено: ${linked ?? state.agentLinked ?? '—'}`;
+    }
+  }
+
+  async function loadAgentHeardSettings() {
+    try {
+      const data = await SA.request('AssistentGetDatasetAgentSettings', {});
+      const s = data?.settings || {};
+      state.agentSettings = {
+        enabled: s.enabled !== false,
+        auto_link_on_approve: s.auto_link_on_approve !== false,
+        heard_quota: s.heard_quota ?? 3,
+      };
+      state.agentLinked = data?.linked ?? 0;
+      if ($('sa_agent_heard_enabled')) $('sa_agent_heard_enabled').checked = state.agentSettings.enabled;
+      if ($('sa_agent_auto_link')) $('sa_agent_auto_link').checked = state.agentSettings.auto_link_on_approve;
+      if ($('sa_agent_heard_quota')) $('sa_agent_heard_quota').value = String(state.agentSettings.heard_quota);
+      setAgentHeardStats(state.agentLinked);
+    } catch (e) {
+      console.warn('loadAgentHeardSettings', e);
+    }
+  }
+
+  async function saveAgentHeardSettings() {
+    const settings = {
+      enabled: !!$('sa_agent_heard_enabled')?.checked,
+      auto_link_on_approve: !!$('sa_agent_auto_link')?.checked,
+      heard_quota: Math.max(0, Math.min(8, parseInt($('sa_agent_heard_quota')?.value, 10) || 3)),
+    };
+    try {
+      const data = await SA.request('AssistentSaveDatasetAgentSettings', { settings });
+      state.agentSettings = data?.settings || settings;
+      setTrainStatus('Настройки «услышанного» сохранены');
+    } catch (e) {
+      setTrainStatus(String(e.message || e));
+    }
+  }
+
+  async function syncAllToAgent() {
+    setTrainStatus('Подключение к агенту…');
+    try {
+      await saveAgentHeardSettings();
+      const data = await SA.request('AssistentSyncDatasetToAgent', { approved_only: true, relink: false });
+      state.agentLinked = data?.total_linked ?? state.agentLinked;
+      setAgentHeardStats(state.agentLinked);
+      setTrainStatus(`Подключено: +${data?.linked_now ?? 0}, всего ${data?.total_linked ?? '—'}`);
+      await refreshSamples();
+    } catch (e) {
+      setTrainStatus(String(e.message || e));
+    }
+  }
+
+  function setTrainStatus(msg) {
+    const el = $('sa_train_status');
+    if (el) el.textContent = msg || '';
+  }
+
+  function setTrainingTab(id) {
+    state.ttab = id || 'dataset';
+    document.querySelectorAll('#sa_training .sa-ttab').forEach((btn) => {
+      const on = btn.getAttribute('data-ttab') === state.ttab;
+      btn.classList.toggle('sa-ttab-active', on);
+      btn.setAttribute('aria-selected', on ? 'true' : 'false');
+    });
+    document.querySelectorAll('#sa_training .sa-tpane').forEach((pane) => {
+      pane.hidden = pane.getAttribute('data-tpane') !== state.ttab;
+    });
+    if (state.ttab === 'dataset') {
+      refreshSamples();
+      loadAgentHeardSettings();
+    }
+    if (state.ttab === 'train') syncModelfileModels();
+    if (state.ttab === 'models') refreshTrainModels();
+  }
+
+  async function refreshSamples() {
+    try {
+      const status = $('sa_train_filter_status')?.value || 'all';
+      const persona = $('sa_train_filter_persona')?.value || 'all';
+      const data = await SA.request('AssistentListTrainSamples', { status, persona, limit: 300 });
+      state.samples = data?.samples || [];
+      const stats = $('sa_train_stats');
+      if (stats) stats.textContent = `Одобрено: ${data?.approved ?? '—'} · всего: ${data?.total ?? '—'}`;
+      const personaSel = $('sa_train_filter_persona');
+      if (personaSel && $('sa_persona')) {
+        const cur = personaSel.value || 'all';
+        personaSel.innerHTML = '<option value="all">Все личности</option>';
+        for (const opt of $('sa_persona').options) {
+          const o = document.createElement('option');
+          o.value = opt.value;
+          o.textContent = opt.textContent;
+          personaSel.appendChild(o);
+        }
+        personaSel.value = cur;
+      }
+      renderSamples();
+    } catch (e) {
+      setTrainStatus(String(e.message || e));
+    }
+  }
+
+  function renderSamples() {
+    const root = $('sa_train_samples');
+    if (!root) return;
+    if (!state.samples.length) {
+      root.innerHTML = '<div class="sa-mem-empty">Нет примеров. Отметь ответы в чате или импортируй датасет.</div>';
+      return;
+    }
+    root.innerHTML = '';
+    for (const s of state.samples) {
+      const div = document.createElement('div');
+      div.className = 'sa-train-sample';
+      div.dataset.id = s.id;
+      const msgs = s.messages || [];
+      const preview = msgs.map((m) => `${m.role}: ${(m.content || '').slice(0, 120)}`).join('\n');
+      const linked = s.agent_linked ? ' · 🔗 агент' : '';
+      div.innerHTML = `
+        <div class="sa-train-sample-head">
+          <span class="sa-hf-badge sa-hf-badge-${s.status === 'approved' ? 'ok' : s.status === 'rejected' ? 'no' : 'map'}">${escapeHtml(s.status)}</span>
+          <span>${escapeHtml(s.source)} · ${escapeHtml(s.persona || '—')} · ${escapeHtml(s.pack || '—')}${linked}</span>
+          <button type="button" class="basic-button" data-approve="1">✓</button>
+          <button type="button" class="basic-button" data-reject="1">✕</button>
+          <button type="button" class="basic-button" data-link="1" title="Подключить к агенту">🔗</button>
+          <button type="button" class="basic-button" data-unlink="1" title="Отключить от агента">⛓</button>
+          <button type="button" class="basic-button sa-danger-btn" data-del="1">Удалить</button>
+        </div>
+        <textarea spellcheck="false">${escapeHtml(preview)}</textarea>`;
+      root.appendChild(div);
+    }
+  }
+
+  async function upsertSample(patch) {
+    await SA.request('AssistentUpsertTrainSample', patch);
+    await refreshSamples();
+  }
+
+  function renderHfList() {
+    const root = $('sa_hf_list');
+    if (!root) return;
+    root.innerHTML = '';
+    const showAll = !!$('sa_hf_show_all')?.checked;
+    for (const r of state.hfResults) {
+      if (!showAll && r.gate === 'rejected') continue;
+      const row = document.createElement('div');
+      row.className = 'sa-hf-row' + (state.hfSelected === r.id ? ' sa-hf-row-active' : '') + (r.gate === 'rejected' ? ' sa-hf-rejected' : '');
+      row.dataset.id = r.id;
+      const badge = r.gate === 'ok' ? 'ok' : r.gate === 'mapping' ? 'map' : 'no';
+      row.innerHTML = `<span class="sa-hf-badge sa-hf-badge-${badge}">${escapeHtml(r.gate)}</span><strong>${escapeHtml(r.id)}</strong><span>${escapeHtml(r.reason || '')}</span>`;
+      root.appendChild(row);
+    }
+  }
+
+  async function searchHf() {
+    const q = ($('sa_hf_search')?.value || '').trim();
+    setTrainStatus('Поиск…');
+    try {
+      const data = await SA.request('AssistentSearchHfDatasets', {
+        q,
+        limit: 24,
+        show_all: !!$('sa_hf_show_all')?.checked,
+      });
+      state.hfResults = data?.results || [];
+      renderHfList();
+      setTrainStatus(`Найдено: ${state.hfResults.length}`);
+    } catch (e) {
+      setTrainStatus(String(e.message || e));
+    }
+  }
+
+  async function checkHfLink() {
+    const link = ($('sa_hf_link')?.value || '').trim();
+    const status = $('sa_hf_status');
+    if (!link) return;
+    if (status) status.textContent = 'Проверяю…';
+    try {
+      const data = await SA.request('AssistentCheckHfDataset', { dataset: link });
+      state.hfCheck = data;
+      state.hfSelected = data.id;
+      if (status) {
+        status.textContent = data.gate === 'rejected'
+          ? `Отклонено: ${data.reason}`
+          : `${data.gate}: ${data.reason || 'OK'}`;
+      }
+      const preview = $('sa_hf_preview');
+      if (preview) {
+        preview.hidden = false;
+        preview.textContent = JSON.stringify(data.sample_rows || data.features || data, null, 2).slice(0, 8000);
+      }
+      const importRow = $('sa_hf_import_row');
+      if (importRow) importRow.hidden = data.gate === 'rejected';
+    } catch (e) {
+      if (status) status.textContent = String(e.message || e);
+    }
+  }
+
+  async function importHf() {
+    if (!state.hfSelected && !state.hfCheck?.id) {
+      setTrainStatus('Сначала проверь набор');
+      return;
+    }
+    const id = state.hfSelected || state.hfCheck.id;
+    const limit = Number($('sa_hf_import_limit')?.value) || 200;
+    try {
+      const data = await SA.request('AssistentImportHfDataset', { dataset: id, limit });
+      setTrainStatus(`Импортировано: ${data.imported}${data.runner_only ? ' (runner-only)' : ''}`);
+      await refreshSamples();
+    } catch (e) {
+      setTrainStatus(String(e.message || e));
+    }
+  }
+
+  async function syncModelfileModels() {
+    try {
+      const baseUrl = $('sa_base_url')?.value || localStorage.getItem('swarm_assistent_base_url') || '';
+      const data = await SA.request('AssistentListModels', { baseUrl });
+      const models = data?.models || [];
+      for (const selId of ['sa_modelfile_base']) {
+        const sel = $(selId);
+        if (!sel) continue;
+        const cur = sel.value;
+        sel.innerHTML = '<option value="">—</option>';
+        for (const m of models) {
+          const opt = document.createElement('option');
+          opt.value = m;
+          opt.textContent = m;
+          sel.appendChild(opt);
+        }
+        if (cur) sel.value = cur;
+      }
+      const personaSel = $('sa_modelfile_persona');
+      if (personaSel && $('sa_persona')) {
+        personaSel.innerHTML = $('sa_persona').innerHTML;
+        personaSel.value = $('sa_persona').value || 'neutral';
+      }
+    } catch (e) { /* ignore */ }
+  }
+
+  async function createModelfile() {
+    setTrainStatus('Создаю модель…');
+    try {
+      const data = await SA.request('AssistentCreateOllamaModel', {
+        base_url: $('sa_base_url')?.value,
+        base_model: $('sa_modelfile_base')?.value,
+        name: $('sa_modelfile_name')?.value,
+        persona: $('sa_modelfile_persona')?.value,
+        system: $('sa_modelfile_system')?.value,
+        shots: Number($('sa_modelfile_shots')?.value) || 8,
+        num_ctx: Number($('sa_modelfile_num_ctx')?.value) || 16384,
+        temperature: Number($('sa_modelfile_temp')?.value) || 0.7,
+      });
+      setTrainStatus(`Готово: ${data.name}`);
+      SA.app?.refreshModels?.();
+    } catch (e) {
+      setTrainStatus(String(e.message || e));
+    }
+  }
+
+  function setTrainMode(mode) {
+    $('sa_train_form_modelfile').hidden = mode !== 'modelfile';
+    $('sa_train_form_qlora').hidden = mode !== 'qlora';
+  }
+
+  function setTrainingLock(on, text) {
+    const root = $('swarm_assistent_root');
+    const banner = $('sa_train_banner');
+    if (root) root.classList.toggle('sa-root-training-lock', !!on);
+    if (banner) {
+      banner.hidden = !on;
+      const t = $('sa_train_banner_text');
+      if (t && text) t.textContent = text;
+    }
+    SA.app?.setTrainingLock?.(!!on);
+  }
+
+  async function pollTrainJob() {
+    try {
+      const data = await SA.request('AssistentGetTrainJob', {});
+      const prog = data?.job?.progress_json ? JSON.parse(data.job.progress_json) : null;
+      const active = data?.training_active || data?.job?.status === 'running';
+      setTrainingLock(active, prog?.status === 'running' ? `Тренировка · ${prog?.percent ?? 0}%` : 'Идёт тренировка…');
+      const logEl = $('sa_train_log');
+      const bar = $('sa_train_progress_fill');
+      const box = $('sa_train_progress');
+      if (prog) {
+        if (box) box.hidden = false;
+        if (bar && prog.percent != null) bar.style.width = `${prog.percent}%`;
+        if (logEl && prog.log) logEl.textContent = prog.log;
+      }
+      if (!active) {
+        clearInterval(state.polling);
+        state.polling = null;
+        $('sa_btn_qlora_cancel').hidden = true;
+      }
+    } catch (e) { /* ignore */ }
+  }
+
+  async function startQlora() {
+    setTrainStatus('Запуск…');
+    try {
+      await SA.request('AssistentStartTrainJob', {
+        base_url: $('sa_base_url')?.value,
+        chat_model: $('sa_model')?.value,
+        base_model: $('sa_qlora_base')?.value,
+        output_name: $('sa_qlora_name')?.value,
+        rank: Number($('sa_qlora_rank')?.value) || 16,
+        alpha: Number($('sa_qlora_alpha')?.value) || 32,
+        lr: Number($('sa_qlora_lr')?.value) || 0.0002,
+        epochs: Number($('sa_qlora_epochs')?.value) || 3,
+        seq_len: Number($('sa_qlora_seq')?.value) || 2048,
+        four_bit: !!$('sa_qlora_4bit')?.checked,
+        hf_dataset: ($('sa_qlora_hf_dataset')?.value || '').trim() || undefined,
+      });
+      $('sa_btn_qlora_cancel').hidden = false;
+      setTrainingLock(true, 'Идёт тренировка…');
+      if (state.polling) clearInterval(state.polling);
+      state.polling = setInterval(pollTrainJob, 1500);
+      pollTrainJob();
+      setTrainStatus('Тренировка запущена');
+    } catch (e) {
+      setTrainStatus(String(e.message || e));
+    }
+  }
+
+  async function cancelQlora() {
+    try {
+      await SA.request('AssistentCancelTrainJob', {});
+      setTrainingLock(false);
+      setTrainStatus('Отменено');
+    } catch (e) {
+      setTrainStatus(String(e.message || e));
+    }
+  }
+
+  async function refreshTrainModels() {
+    const root = $('sa_train_models_list');
+    if (!root) return;
+    try {
+      const data = await SA.request('AssistentListModels', { baseUrl: $('sa_base_url')?.value });
+      const models = data?.models || [];
+      root.innerHTML = models.length
+        ? models.map((m) => `<div class="sa-hf-row"><strong>${escapeHtml(m)}</strong></div>`).join('')
+        : '<div class="sa-mem-empty">Нет моделей</div>';
+    } catch (e) {
+      root.innerHTML = `<div class="sa-mem-empty">${escapeHtml(e.message)}</div>`;
+    }
+  }
+
+  async function saveRunner() {
+    try {
+      await SA.request('AssistentSaveRunnerSettings', {
+        python: $('sa_runner_python')?.value,
+        kind: $('sa_runner_kind')?.value,
+        workdir: $('sa_runner_workdir')?.value,
+        cmd: $('sa_runner_cmd')?.value,
+        gguf_script: $('sa_runner_gguf_script')?.value,
+      });
+      setTrainStatus('Раннер сохранён');
+    } catch (e) {
+      setTrainStatus(String(e.message || e));
+    }
+  }
+
+  async function loadRunner() {
+    try {
+      const data = await SA.request('AssistentGetRunnerSettings', {});
+      const s = data?.settings || {};
+      if ($('sa_runner_python') && s.python) $('sa_runner_python').value = s.python;
+      if ($('sa_runner_kind') && s.kind) $('sa_runner_kind').value = s.kind;
+      if ($('sa_runner_workdir') && s.workdir) $('sa_runner_workdir').value = s.workdir;
+      if ($('sa_runner_cmd') && s.cmd) $('sa_runner_cmd').value = s.cmd;
+      if ($('sa_runner_gguf_script') && s.gguf_script) $('sa_runner_gguf_script').value = s.gguf_script;
+    } catch (e) { /* ignore */ }
+  }
+
+  function wireTraining() {
+    if (window.__saTrainingWired) return;
+    window.__saTrainingWired = true;
+    document.querySelectorAll('#sa_training .sa-ttab').forEach((btn) => {
+      btn.addEventListener('click', () => setTrainingTab(btn.getAttribute('data-ttab')));
+    });
+    $('sa_btn_agent_sync')?.addEventListener('click', syncAllToAgent);
+    $('sa_agent_heard_enabled')?.addEventListener('change', saveAgentHeardSettings);
+    $('sa_agent_auto_link')?.addEventListener('change', saveAgentHeardSettings);
+    $('sa_agent_heard_quota')?.addEventListener('change', saveAgentHeardSettings);
+    loadAgentHeardSettings();
+    $('sa_btn_train_from_chats')?.addEventListener('click', async () => {
+      try {
+        const data = await SA.request('AssistentBuildDatasetFromChats', {});
+        setTrainStatus(`Из чатов: +${data.added}`);
+        await refreshSamples();
+      } catch (e) { setTrainStatus(String(e.message || e)); }
+    });
+    $('sa_btn_train_import_file')?.addEventListener('click', () => $('sa_train_import_file')?.click());
+    $('sa_train_import_file')?.addEventListener('change', async (e) => {
+      const file = e.target?.files?.[0];
+      if (!file) return;
+      const text = await file.text();
+      try {
+        const data = await SA.request('AssistentImportDataset', { format: 'auto', content: text });
+        setTrainStatus(`Импорт: ${data.imported}`);
+        await refreshSamples();
+      } catch (err) { setTrainStatus(String(err.message || err)); }
+      e.target.value = '';
+    });
+    $('sa_btn_train_export')?.addEventListener('click', async () => {
+      try {
+        const data = await SA.request('AssistentExportDataset', { status: 'approved' });
+        if (data.content) {
+          const blob = new Blob([data.content], { type: 'application/jsonl' });
+          const a = document.createElement('a');
+          a.href = URL.createObjectURL(blob);
+          a.download = 'assistent-dataset.jsonl';
+          a.click();
+        }
+        setTrainStatus(`Экспорт: ${data.count} примеров`);
+      } catch (e) { setTrainStatus(String(e.message || e)); }
+    });
+    $('sa_train_filter_status')?.addEventListener('change', refreshSamples);
+    $('sa_train_filter_persona')?.addEventListener('change', refreshSamples);
+    $('sa_train_samples')?.addEventListener('click', async (e) => {
+      const row = e.target.closest('.sa-train-sample');
+      if (!row) return;
+      const id = row.dataset.id;
+      const sample = state.samples.find((s) => s.id === id);
+      if (!sample) return;
+      if (e.target.closest('[data-approve]')) {
+        await upsertSample({ ...sample, status: 'approved' });
+        await loadAgentHeardSettings();
+      } else if (e.target.closest('[data-reject]')) {
+        await upsertSample({ ...sample, status: 'rejected' });
+        await loadAgentHeardSettings();
+      } else if (e.target.closest('[data-link]')) {
+        try {
+          const data = await SA.request('AssistentLinkTrainSampleToAgent', { id });
+          state.agentLinked = data?.linked ?? state.agentLinked;
+          setAgentHeardStats(state.agentLinked);
+          setTrainStatus('Пример подключён к агенту');
+          await refreshSamples();
+        } catch (err) { setTrainStatus(String(err.message || err)); }
+      } else if (e.target.closest('[data-unlink]')) {
+        try {
+          const data = await SA.request('AssistentUnlinkTrainSampleFromAgent', { id });
+          state.agentLinked = data?.linked ?? state.agentLinked;
+          setAgentHeardStats(state.agentLinked);
+          setTrainStatus('Пример отключён от агента');
+          await refreshSamples();
+        } catch (err) { setTrainStatus(String(err.message || err)); }
+      } else if (e.target.closest('[data-del]')) {
+        if (window.confirm('Удалить пример?')) {
+          await SA.request('AssistentDeleteTrainSample', { id });
+          await refreshSamples();
+        }
+      }
+    });
+    $('sa_btn_hf_search')?.addEventListener('click', searchHf);
+    $('sa_hf_show_all')?.addEventListener('change', () => { renderHfList(); });
+    $('sa_hf_list')?.addEventListener('click', async (e) => {
+      const row = e.target.closest('.sa-hf-row');
+      if (!row || row.classList.contains('sa-hf-rejected')) return;
+      state.hfSelected = row.dataset.id;
+      $('sa_hf_link').value = row.dataset.id;
+      renderHfList();
+      await checkHfLink();
+    });
+    $('sa_btn_hf_check')?.addEventListener('click', checkHfLink);
+    $('sa_btn_hf_import')?.addEventListener('click', importHf);
+    document.querySelectorAll('input[name="sa_train_mode"]').forEach((r) => {
+      r.addEventListener('change', () => setTrainMode(r.value));
+    });
+    $('sa_btn_modelfile_create')?.addEventListener('click', createModelfile);
+    $('sa_btn_qlora_start')?.addEventListener('click', startQlora);
+    $('sa_btn_qlora_cancel')?.addEventListener('click', cancelQlora);
+    $('sa_btn_train_models_refresh')?.addEventListener('click', refreshTrainModels);
+    $('sa_btn_save_runner')?.addEventListener('click', saveRunner);
+    loadRunner();
+    setTrainMode('modelfile');
+  }
+
+  SA.training = {
+    render() {
+      wireTraining();
+      setTrainingTab(state.ttab);
+    },
+    async curateFromChat(messages, meta) {
+      try {
+        await SA.request('AssistentUpsertTrainSample', {
+          source: 'chat',
+          chat_id: meta?.chatId,
+          persona: meta?.persona,
+          pack: meta?.pack,
+          status: meta?.status || 'approved',
+          messages,
+        });
+        return true;
+      } catch (e) {
+        console.warn('curateFromChat', e);
+        return false;
+      }
+    },
+    setTrainingLock,
+    pollTrainJob,
+  };
+}