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>

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