AI models shared registry + Code cleanup + Better async handling + Some fixes, etc

some fixes + gliner first implementation
Fix intent classifier init
2026-02-18 21:08:48 +05:00 · 2026-02-11 07:21:50 +05:00 · 2026-02-08 07:30:46 +05:00 · 2026-02-08 07:16:03 +05:00 · 2026-02-08 06:42:58 +05:00 · 2026-02-08 06:37:55 +05:00
466 changed files with 624931 additions and 4607 deletions
--- a/.gitattributes
+++ b/.gitattributes
@ -1 +0,0 @@
-*.onnx filter=lfs diff=lfs merge=lfs -text
--- a/.gitignore
+++ b/.gitignore
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+# Binaries and dynamic libraries
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+*.rs.bk

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+# Ignore packaged crates
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-# Reference: https://intellij-support.jetbrains.com/hc/en-us/articles/206544839
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-# User-specific stuff
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-# Misc artifacts
-.git-filter-redactions.txt
-# Experiments / voice cloning artifacts (not part of repo)
-voice_ref/
-sound/_*.wav
+# Ignore AI models
+/resources/models/*
--- a/.idea/.gitignore
+++ b/.idea/.gitignore
@ -1,3 +0,0 @@
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--- a/.idea/jarvis.iml
+++ b/.idea/jarvis.iml
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+++ b/.idea/misc.xml
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--- a/.idea/modules.xml
+++ b/.idea/modules.xml
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+++ b/.idea/vcs.xml
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--- a/Cargo.lock
+++ b/Cargo.lock
--- a/Cargo.toml
+++ b/Cargo.toml
@ -0,0 +1,55 @@
+[workspace]
+members = [
+    "crates/jarvis-core",
+    "crates/jarvis-app", 
+    "crates/jarvis-gui",
+    "crates/jarvis-cli"
+]
+resolver = "2"
+
+[workspace.package]
+version = "0.1.0"
+authors = ["Abraham Tugalov"]
+license = "GPL-3.0-only"
+repository = "https://github.com/Priler/jarvis"
+edition = "2021"
+
+[workspace.dependencies]
+serde = { version = "1.0", features = ["derive"] }
+serde_json = "1.0"
+serde_yaml = "0.9"
+once_cell = "1.19"
+log = "0.4"
+rand = "0.8"
+seqdiff = "0.3"
+hound = "3.5"
+platform-dirs = "0.3"
+rodio = "0.21"
+kira = "0.11"
+pv_recorder = { git = "https://github.com/Priler/pvrecorder" }
+vosk = "0.3"
+rustpotter = { git = "https://github.com/Priler/rustpotter" }
+image = "0.25"
+parking_lot = "0.12.5"
+toml = "0.9.8"
+sha2 = "0.10"
+nnnoiseless = "0.5"
+sysinfo = "0.37.2"
+tokio-tungstenite = "0.28.0"
+futures-util = "0.3"
+fluent = "0.17.0"
+fluent-bundle = "0.16.0"
+unic-langid = "0.9"
+chrono = "0.4"
+mlua = { version = "0.11.5", features = ["lua55", "vendored", "async", "serde"] }
+reqwest = { version = "0.13.1", features = ["blocking", "json"] }
+tempfile = "^3.24"
+winrt-notification = "0.5"
+
+fastembed = { version = "^5.8.1", default-features = false, features = ["ort-download-binaries"] }
+ort = { version = "=2.0.0-rc.11" }
+ndarray = "0.17"
+tokenizers = { version = "0.22", default-features = false }
+regex = "1"
+sys-locale = "0.3"
+
--- a/LICENSE.txt
+++ b/LICENSE.txt
--- a/README.md
+++ b/README.md
@ -1,163 +1,65 @@
-# J.A.R.V.I.S (Python) — Bossiara13's fork
+# JARVIS Voice Assistant (this readme is outdated)

-Голосовой ассистент для Windows с wake-word **«jarvis»**. Распознаёт речь локально через Vosk (русская модель), отвечает голосом через Silero TTS, а свободные вопросы (фразы, начинающиеся со слова «скажи …») отправляет в LLM на Groq и зачитывает ответ.
+![We are NOT limited by the technology of our time!](poster.jpg)

-## Это форк
+`Jarvis` - is a voice assistant made as an experiment using neural networks for things like **STT/TTS/Wake Word/NLU** etc.

-Форк репозитория [Priler/jarvis](https://github.com/Priler/jarvis) (автор оригинала — Abraham Tugalov, 2022). Лицензия наследуется: **CC BY-NC-SA 4.0** (см. [LICENSE.txt](LICENSE.txt)).
+The main project challenges we try to achieve is:
+ - 100% offline *(no cloud)*
+ - Open source *(full transparency)*
+ - No data collection *(we respect your privacy)*

-## Что отличается от оригинала
+Our backend stack is 🦀 **[Rust](https://www.rust-lang.org/)** with ❤️ **[Tauri](https://tauri.app/)**.<br>
+For the frontend we use ⚡️ **[Vite](https://vitejs.dev/)** + 🛠️ **[Svelte](https://svelte.dev/)**.

- Из истории удалены случайно закоммиченные секреты.
- Бэкенд LLM переключён с OpenAI на Groq (бесплатный тариф) через openai-совместимый API.
- Код обновлён под новую версию SDK `openai` (>=1.0); старый pre-1.0 интерфейс был сломан.
- Убрана зависимость от Picovoice Porcupine — wake-word распознаётся напрямую через Vosk с grammar-constraint (второй `KaldiRecognizer` со словарём из `WAKE_WORDS`). Ключ Picovoice больше не нужен.
- Обновлена ветка/тэги (`dev`, `v0.0.1-import`), причёсан README и `requirements.txt`.
+*Other libraries, tools and packages can be found in source code.*

-## Установка
+## Neural Networks

-Требуется **Python 3.11** (на 3.13 ряд зависимостей пока ставится с бубном).
+This are the neural networks we are currently using:

-```bash
-git clone https://github.com/DmitryBykov-ISPO/J.A.R.V.I.S-py.git
-cd J.A.R.V.I.S-py
-py -3.11 -m venv .venv
-.venv\Scripts\activate
-pip install --upgrade pip
-pip install -r requirements.txt
-```
+ - Speech-To-Text
+	 - [Vosk Speech Recognition Toolkit](https://github.com/alphacep/vosk-api) via [Vosk-rs](https://github.com/Bear-03/vosk-rs)
+ - Text-To-Speech
+	 - [~~Silero TTS~~](https://github.com/snakers4/silero-models) *(currently not used)*
+	 - [~~Coqui TTS~~](https://github.com/coqui-ai/TTS) *(currently not used)*
+	 - [~~WinRT~~](https://github.com/ndarilek/tts-rs) *(currently not used)*
+	 - [~gTTS~](https://github.com/nightlyistaken/tts_rust) *(currently not used)*
+	 - [~~SAM~~](https://github.com/s-macke/SAM) *(currently not used)*
+ - Wake Word
+	 - [Rustpotter](https://github.com/GiviMAD/rustpotter) *(Partially implemented, still WIP)*
+	 - [Picovoice Porcupine](https://github.com/Picovoice/porcupine) via [official SDK](https://github.com/Picovoice/porcupine#rust) *(requires API key)*
+	 - [Vosk Speech Recognition Toolkit](https://github.com/alphacep/vosk-api) via [Vosk-rs](https://github.com/Bear-03/vosk-rs) *(very slow)*
+	 - [~~Snowboy~~](https://github.com/Kitt-AI/snowboy) *(currently not used)*
+ - NLU
+	 - Nothing yet.
+- Chat
+	- [~~ChatGPT~~](https://chat.openai.com/) (coming soon)

-Скопируйте `dev.env.example` в `dev.env` и заполните ключ:
+## Supported Languages

- `GROQ_TOKEN` — бесплатно на [console.groq.com](https://console.groq.com/).
+Currently, only Russian language is supported.<br>
+But soon, Ukranian and English will be added for the interface, wake-word detection and speech recognition.

-Vosk-модель для русского языка лежит в `model_small/` (уже в репозитории). Запуск:
+## How to build?

-```bash
-python main.py
-```
+Nothing special was used to build this project.<br>
+You need only Rust and NodeJS installed on your system.<br>
+Other than that, all you need is to install all the dependencies and then compile the code with `cargo tauri build` command.<br>
+Or run dev with `cargo tauri dev`.

-## Конфигурация
+<br><br>
+*Thought you might need some of the platform specific libraries for [PvRecorder](https://github.com/Picovoice/pvrecorder) and [Vosk](https://github.com/alphacep/vosk-api).*

- `config.py`:
-  - `MICROPHONE_INDEX = -1` — индекс микрофона (`-1` означает устройство по умолчанию). Если микрофонов несколько и берётся не тот, поменяйте число.
-  - `WAKE_WORDS = ('jarvis', 'джарвис')` — варианты транскрипции wake-word, которые принимает Vosk. Если ваш голос/акцент стабильно расшифровывается как, например, `жарвис` — добавьте этот вариант сюда (всё в нижнем регистре).
-  - `GROQ_MODEL` — имя модели Groq (по умолчанию `llama-3.3-70b-versatile`).
-  - `INTENT_SIMILARITY_THRESHOLD = 0.45` — минимальная косинусная близость для срабатывания команды (см. ниже).
-  - `DENOISE_ENABLED = False` — шумоподавление перед Vosk (см. ниже).
- `commands.yaml` — набор голосовых команд и их вариантов; матчится семантически по эмбеддингам.
- `custom-commands/` — скомпилированные AHK-скрипты под конкретный сетап автора оригинала (переключение мониторов, управление Яндекс.Музыкой и т.п.). На вашей машине большая часть из них работать не будет, но ассистент запустится в любом случае.
+## Author

-## Использование
+Abraham Tugalov

-1. Скажите **«Джарвис»** (или **«jarvis»**) — ассистент даст звуковой сигнал готовности.
-2. Произнесите команду — окно записи закрывается само, как только вы замолчите (см. ниже про VAD):
-   - либо одну из фраз из `commands.yaml` (открыть браузер, выключить звук и т.д.);
-   - либо начните со слова **«скажи …»** — остаток фразы уйдёт в Groq, ответ будет зачитан вслух.
+## Python version?
+Old version of Jarvis was built with Python.<br>
+The last Python version commit can be found [here](https://github.com/Priler/jarvis/tree/943efbfbdb8aeb5889fa5e2dc7348ca4ea0b81df).

-## VAD (определение конца команды)
+## License

-Окно записи команды закрывается по голосовой активности (webrtcvad), а не по таймеру. Параметры в `config.py`:
-
- `VAD_AGGRESSIVENESS` (0..3) — насколько агрессивно VAD режет шум; по умолчанию 2.
- `COMMAND_END_SILENCE_MS` — длительность тишины, после которой окно закрывается (по умолчанию 1200 мс).
- `COMMAND_MIN_SPEECH_MS` — минимальная длительность речи, иначе тишина не считается концом (500 мс).
- `COMMAND_MIN_LISTEN_MS` — минимальное время записи, чтобы не закрыться мгновенно (1000 мс).
- `COMMAND_MAX_LISTEN_MS` — жёсткий потолок (15000 мс).
-
-## Семантический матчинг команд
-
-Раньше распознанная фраза сравнивалась с фразами из `commands.yaml` через `fuzzywuzzy.fuzz.ratio` — это срабатывало только на формальное совпадение букв. Теперь используется sentence-transformer `all-MiniLM-L6-v2` (ONNX, CPU) — фраза кодируется в 384-мерный вектор, считается косинусная близость с фразами всех команд, побеждает самая близкая.
-
-Это означает, что фраза `«запусти браузер»` сматчится с командой `open_browser`, даже если в YAML записано только `«открой браузер»` — у них близкий смысл.
-
- Модель лежит в `models/all-MiniLM-L6-v2/` (87 МБ, хранится через Git LFS — `git lfs pull` после клонирования).
- Порог `INTENT_SIMILARITY_THRESHOLD = 0.45` (косинус, диапазон [-1; 1], для близких смыслов обычно 0.7+). Ниже порога — «команда не распознана», сработает `not_found.wav` (или ветка `«скажи …»` для LLM).
- Все фразы из `commands.yaml` эмбеддятся один раз при старте; на каждой команде эмбеддится только распознанная пользователем фраза (~1-5 мс на CPU).
-
-## Шумоподавление перед STT
-
-Опциональный пре-процессинг аудио командного буфера через `noisereduce` (спектральное гейтирование). Помогает в шумных помещениях (кулер, кондиционер, фоновая музыка). К wake-word фазе не применяется — там важна отзывчивость.
-
-В `config.py`:
-
- `DENOISE_ENABLED = False` — главный тумблер.
- `DENOISE_PROP = 0.85` — доля подавления (0..1).
- `DENOISE_STATIONARY = False` — `False` для меняющегося шума (рекомендуется), `True` для стабильного фона.
-
-## Эффекты под AI-ассистента
-
-Silero звучит естественно, но иногда хочется лёгкой «AI-окраски» в духе J.A.R.V.I.S. — узкую полосу, еле заметную реверберацию, при желании небольшой сдвиг высоты. Это тонкий постпроцессинг, голос и sample rate не меняются.
-
-По умолчанию эффекты **выключены**. Включаются в `config.py`:
-
- `TTS_EFFECTS_ENABLED` — главный тумблер (`False` по умолчанию).
- `TTS_BANDPASS_LOW_HZ` / `TTS_BANDPASS_HIGH_HZ` — полоса пропускания (по умолчанию 200–7000 Гц). Сужение полосы даёт ощущение «голоса по радио».
- `TTS_REVERB_WET` (0..1) и `TTS_REVERB_DECAY_MS` — доля мокрого сигнала и длительность хвоста короткой реверберации (по умолчанию 0.20 и 100 мс).
- `TTS_PITCH_SEMITONES` — сдвиг высоты в полутонах (по умолчанию 0, разумный диапазон ±2).
-
-Фильтры реализованы на `scipy.signal` (IIR, sosfiltfilt — нулевая фазовая задержка), реверберация — несколько затухающих задержанных копий, pitch — ресэмплинг по линейной интерполяции. Всё in-process, без временных файлов и лишних зависимостей.
-
-Быстрое A/B сравнение перед тем как переключать тумблер:
-
-```bash
-.venv\Scripts\python.exe utils\preview_effects.py
-```
-
-Скрипт сгенерирует `sound/_preview_silero_raw.wav` и `sound/_preview_silero_fx.wav` — откройте оба в плеере и решите, нравится ли эффект. Параметры fx-версии берутся из текущего `config.py` (независимо от `TTS_EFFECTS_ENABLED`).
-
-## Схема commands.yaml
-
-Каждая команда — это пара `phrases` + `action`:
-
-```yaml
-open_browser:
-  phrases:
-    - открой браузер
-    - запусти браузер
-  action: {type: exe, file: "Run browser.exe"}
-```
-
-Типы действий:
-
- `exe` — запустить `.exe` из `custom-commands/`. Поля: `file` (имя файла), необязательные `wait: true` (ждать завершения), `delay_ms` (пауза после запуска). По умолчанию после `exe` проигрывается звук подтверждения `ok` — отключается через `confirm_sound: null`.
- `play_sound` — проиграть WAV из `sound/`. Поле `name` (без расширения). Имена `greet` и `ok` проигрываются с рандомным выбором из вариантов `greet1/2/3.wav`, `ok1/2/3.wav`.
- `system` — встроенные операции. `op: volume_mute`, `volume_unmute`, `exit`.
- `multi` — последовательность шагов: `steps: [...]`.
-
-Шаги внутри `multi` — тех же типов. Пример:
-
-```yaml
-sound_off:
-  phrases: [выключи звук, отключи звук]
-  action:
-    type: multi
-    steps:
-      - {type: play_sound, name: ok}
-      - {type: system, op: volume_mute}
-```
-
-## Конструктор команд
-
-GUI для добавления команд в `commands.yaml` без ручной правки YAML.
-
-Запуск:
-
-```
-python -m tools.command_builder
-```
-
-Или из корня репо `run_builder.bat` (под Windows). Открывается окно pywebview с пошаговым мастером: фразы → тип действия → параметры → предпросмотр YAML и сохранение. На шаге «Действие» доступна вкладка «Подсказать (LLM)» — модель Groq предложит готовый блок по описанию на русском.
-
-После сохранения команды Jarvis нужно перезапустить, чтобы она подхватилась.
-
-Требования:
-
- Windows 10/11 с установленным WebView2 Runtime (обычно уже стоит вместе с Edge — иначе [скачать у Microsoft](https://developer.microsoft.com/microsoft-edge/webview2/)).
- Зависимости из `requirements.txt` (включая `pywebview`, `ruamel.yaml`, `pyautogui`).
-
-Подробности для разработчиков — [tools/command_builder/README.md](tools/command_builder/README.md). TODO: добавить скриншот окна.
-
-## Лицензия
-
-CC BY-NC-SA 4.0 — см. [LICENSE.txt](LICENSE.txt). Авторство оригинала — Abraham Tugalov / Priler. Изменения в этом форке — Bossiara13 (Dmitry Bykov), 2026.
+[Attribution-NonCommercial-ShareAlike 4.0 International](https://creativecommons.org/licenses/by-nc-sa/4.0/)<br>
+See LICENSE.txt file for more details.
--- a/commands.yaml
+++ b/commands.yaml
@ -1,239 +0,0 @@
-open_browser:
-  phrases:
-    - открой браузер
-    - запусти браузер
-    - открой яндекс
-    - яндекс браузер
-  action: {type: url, href: "about:blank", browser: "yandex"}
-
-open_youtube:
-  phrases:
-    - открой ютуб
-    - ютуб
-    - запусти ютуб
-  action: {type: url, href: "https://www.youtube.com", browser: "yandex"}
-
-open_google:
-  phrases:
-    - открой гугл
-    - гугл
-    - запусти гугл
-  action: {type: url, href: "https://www.google.com", browser: "yandex"}
-
-music:
-  phrases:
-    - давай музыку
-    - музыка
-    - яндекс музыка
-    - включи музыку
-    - открой музыку
-    - послушаем музыку
-    - хочу музыку
-    - врубай музло
-    - включи что-то послушать
-    - давай что-то послушаем
-  action: {type: exe, file: "Run music.exe"}
-
-music_off:
-  phrases:
-    - выключи музыку
-    - отруби музыку
-    - убери музыку
-    - отключи музыку
-    - закрой музыку
-    - останови музыку
-    - хватит музыки
-  action: {type: exe, file: "Stop music.exe", delay_ms: 200}
-
-music_save:
-  phrases:
-    - сохрани трек
-    - мне нравится трек
-    - сохрани песню
-    - мне нравится песня
-    - добавь трек в избранное
-    - добавь песню в избранное
-    - запомни мелодию
-    - запомни трек
-    - запомни песню
-    - добавь мелодию в избранное
-    - сохрани то что сейчас играет
-    - добавь то что сейчас играет в избранное
-    - лайкни трек
-    - лайкни мелодию
-    - лайкни песню
-  action: {type: exe, file: "Save music.exe", delay_ms: 200}
-
-music_next:
-  phrases:
-    - следующий трек
-    - следующая мелодия
-    - следующая песня
-    - переключи трек
-    - переключи музыку
-    - переключи мелодию
-    - переключи песню
-    - следующая музыка
-  action: {type: exe, file: "Next music.exe", delay_ms: 200}
-
-music_prev:
-  phrases:
-    - предыдущая музыка
-    - предыдущий трек
-    - предыдущая мелодия
-    - предыдущая песня
-    - верни трек
-    - верни мелодию
-    - верни песню
-    - верни прошлый трек
-    - верни прошлую мелодию
-    - верни прошлую песню
-    - верни прошлую музыку
-    - верни то что играло
-    - давай предыдущий трек
-    - переключи музыку обратно
-    - переключи на прошлый трек
-    - переключи на прошлую мелодию
-    - переключи на прошлую песню
-  action: {type: exe, file: "Prev music.exe", delay_ms: 200}
-
-sound_off:
-  phrases:
-    - выключи звук
-    - беззвучный режим
-    - режим без звука
-    - отключи звук
-  action:
-    type: multi
-    steps:
-      - {type: play_sound, name: ok}
-      - {type: system, op: volume_mute}
-
-sound_on:
-  phrases:
-    - включи звук
-    - режим со звуком
-    - верни звук
-  action:
-    type: multi
-    steps:
-      - {type: system, op: volume_unmute}
-      - {type: play_sound, name: ok}
-
-thanks:
-  phrases:
-    - спасибо
-    - молодец
-    - респект
-    - ты супер
-    - отличная работа
-    - ты крут
-    - ты большой молодец
-    - ты реально крут
-    - ты афигенный
-  action: {type: play_sound, name: thanks}
-
-stupid:
-  phrases:
-    - ты дурак
-    - ты дебил
-    - ты глупый
-    - ты тупой
-  action: {type: play_sound, name: stupid}
-
-gaming_mode_on:
-  phrases:
-    - включи игровой режим
-    - перейди в игровой режим
-    - я хочу поиграть
-    - переключись на телевизор
-  action:
-    type: multi
-    steps:
-      - {type: play_sound, name: ok}
-      - {type: exe, file: "Switch to gaming mode.exe", wait: true}
-      - {type: play_sound, name: ready}
-
-gaming_mode_off:
-  phrases:
-    - рабочий режим
-    - вернись в рабочий режим
-    - переключись на компьютер
-    - обратно на компьютер
-    - отключи игровой режим
-    - выйди из игрового режима
-    - вернись на компьютер
-    - выход с игрового режима
-    - рабочее пространство
-    - вернись в игровой режим
-    - выключи игровой режим
-  action:
-    type: multi
-    steps:
-      - {type: play_sound, name: ok}
-      - {type: exe, file: "Switch back to workspace.exe", wait: true}
-      - {type: play_sound, name: ready}
-
-switch_to_headphones:
-  phrases:
-    - переключи на наушники
-    - включи наушники
-    - перейди на наушники
-    - давай звук в наушники
-    - давай звук на наушники
-    - переключи звук в наушники
-    - переключи звук на наушники
-    - переключи на кракены
-    - включи кракены
-    - перейди на кракены
-    - давай звук в кракены
-    - давай звук на кракены
-    - переключи звук в кракены
-    - переключи звук на кракены
-  action:
-    type: multi
-    steps:
-      - {type: play_sound, name: ok}
-      - {type: exe, file: "Switch to headphones.exe", wait: true, delay_ms: 500}
-      - {type: play_sound, name: ready}
-
-switch_to_dynamics:
-  phrases:
-    - переключи на динамики
-    - включи динамики
-    - перейди на динамики
-    - давай звук в динамики
-    - давай звук на динамики
-    - переключи звук в динамики
-    - переключи звук на динамики
-    - переключи на колонки
-    - включи колонки
-    - перейди на колонки
-    - давай звук в колонки
-    - давай звук на колонки
-    - переключи звук в колонки
-    - переключи звук на колонки
-  action:
-    type: multi
-    steps:
-      - {type: play_sound, name: ok}
-      - {type: exe, file: "Switch to dynamics.exe", wait: true, delay_ms: 500}
-      - {type: play_sound, name: ready}
-
-'off':
-  phrases:
-    - выключись
-    - вырубись
-    - завершить работу
-    - закройся
-    - отключись
-    - заверши свою работу
-    - на сегодня хватит
-    - выгрузи себя из памяти
-    - ты мне надоел
-    - пора спать
-  action:
-    type: multi
-    steps:
-      - {type: play_sound, name: "off"}
-      - {type: system, op: exit}
--- a/config.py
+++ b/config.py
@ -1,60 +0,0 @@
-from dotenv import load_dotenv
-import os
-
-# Find .env file with os variables
-load_dotenv("dev.env")
-
-# Конфигурация
-VA_NAME = 'Jarvis'
-VA_VER = "0.4.1"
-VA_ALIAS = ('джарвис',)
-VA_TBR = ('скажи', 'покажи', 'ответь', 'произнеси', 'расскажи', 'сколько', 'слушай')
-
-# Wake-words распознаются Vosk'ом с grammar-constraint. Добавляйте сюда
-# варианты написания — Vosk с русской моделью может расшифровать "jarvis"
-# как "джарвис", "жарвис" и т.п.
-WAKE_WORDS = ('jarvis', 'джарвис')
-
-# ID микрофона (можете просто менять ID пока при запуске не отобразится нужный)
-# -1 это стандартное записывающее устройство
-MICROPHONE_INDEX = -1
-
-BROWSER_PATHS = {
-    'yandex':  'C:/Program Files/Yandex/YandexBrowser/Application/browser.exe',
-    'chrome':  'C:/Program Files/Google/Chrome/Application/chrome.exe',
-    'firefox': 'C:/Program Files/Mozilla Firefox/firefox.exe',
-    'edge':    'C:/Program Files (x86)/Microsoft/Edge/Application/msedge.exe',
-}
-
-# Токен Groq
-GROQ_TOKEN = os.getenv('GROQ_TOKEN')
-GROQ_BASE_URL = "https://api.groq.com/openai/v1"
-GROQ_MODEL = "llama-3.3-70b-versatile"
-
-# VAD (webrtcvad) — определяет конец команды по тишине вместо фиксированных 10 сек.
-# 0..3, выше — агрессивнее режет шум (но и обрезает речь).
-VAD_AGGRESSIVENESS = 2
-COMMAND_END_SILENCE_MS = 1200
-COMMAND_MIN_SPEECH_MS = 500
-COMMAND_MIN_LISTEN_MS = 1000
-COMMAND_MAX_LISTEN_MS = 15000
-
-TTS_EFFECTS_ENABLED = False
-TTS_BANDPASS_LOW_HZ = 200
-TTS_BANDPASS_HIGH_HZ = 7000
-TTS_REVERB_WET = 0.20
-TTS_REVERB_DECAY_MS = 100
-TTS_PITCH_SEMITONES = 0
-
-# Семантический матчинг команд через эмбеддинги MiniLM-L6-v2 (ONNX, CPU).
-# Порог — косинусная близость [0..1]. На вход поступает уже отфильтрованная
-# фраза (без алиасов и vа_tbr); 0.45 эмпирически отделяет валидные команды
-# от шума, оставляя запас на разговорные перефразировки.
-INTENT_SIMILARITY_THRESHOLD = 0.45
-
-# Шумоподавление аудио перед Vosk на этапе захвата команды (после wake-word).
-# Спектральное гейтирование через noisereduce; даёт небольшую латентность,
-# поэтому выключено по умолчанию и применяется только к буферу команды.
-DENOISE_ENABLED = False
-DENOISE_PROP = 0.85
-DENOISE_STATIONARY = False
--- a/crates/jarvis-app/.cargo/config.toml
+++ b/crates/jarvis-app/.cargo/config.toml
@ -0,0 +1,16 @@
+# Cargo configuration file
+
+[build]
+jobs = 4
+rustflags = [
+    # "-Ctarget-feature=+fp16,+fhm"
+]
+
+[profile.dev]
+opt-level = 0
+debug = true
+
+[profile.release]
+opt-level = 3
+debug = false
+lto = true
--- a/crates/jarvis-app/Cargo.toml
+++ b/crates/jarvis-app/Cargo.toml
@ -0,0 +1,32 @@
+[package]
+name = "jarvis-app"
+version.workspace = true
+authors.workspace = true
+license.workspace = true
+repository.workspace = true
+edition.workspace = true
+
+[dependencies]
+jarvis-core = { path = "../jarvis-core", features = ["intent"] }
+once_cell.workspace = true
+log.workspace = true
+simple-log = "2.4"
+tray-icon = "0.21"
+winit = "0.30"
+image.workspace = true
+platform-dirs.workspace = true
+rand.workspace = true
+parking_lot.workspace = true
+
+tokio = { version = "1", features = ["rt-multi-thread"] }
+
+[target.'cfg(windows)'.dependencies.winit]
+version = "0.30"
+features = []
+
+[target.'cfg(target_os = "windows")'.dependencies]
+winapi = { version = "0.3", features = ["winuser"] }
+
+[target.'cfg(target_os = "linux")'.dependencies]
+gtk = "0.18"
+glib = "0.21.5"
--- a/crates/jarvis-app/Makefile.toml
+++ b/crates/jarvis-app/Makefile.toml
@ -0,0 +1,45 @@
+[tasks.format]
+install_crate = "rustfmt"
+command = "cargo"
+args = ["fmt", "--", "--emit=files"]
+
+[tasks.clean]
+command = "cargo"
+args = ["clean"]
+
+[tasks.build_debug]
+command = "cargo"
+args = ["build"]
+
+[tasks.run]
+command = "cargo"
+args = ["run"]
+
+[tasks.build_release]
+command = "cargo"
+args = ["build", "--release"]
+dependencies = ["clean"]
+
+[tasks.test]
+command = "cargo"
+args = ["test"]
+# dependencies = ["clean"]
+
+[tasks.post_build]
+script_runner = "python"
+script_extension = "py"
+script = { file = "post_build.py" }
+
+[tasks.debug]
+dependencies = [
+    "format",
+    "build_debug",
+    "post_build"
+]
+
+[tasks.release]
+dependencies = [
+    "format",
+    "build_release",
+    "post_build"
+]
--- a/crates/jarvis-app/build.rs
+++ b/crates/jarvis-app/build.rs
@ -0,0 +1,10 @@
+fn main() {
+    // link to Vosk lib
+    // println!("cargo:rustc-link-lib=libvosk.dll");
+
+    let manifest_dir = std::env::var("CARGO_MANIFEST_DIR").unwrap();
+    let lib_path = std::path::Path::new(&manifest_dir)
+        .join("..\\..\\lib\\windows\\amd64");
+    
+    println!("cargo:rustc-link-search=native={}", lib_path.display());
+}
--- a/crates/jarvis-app/src/_app.rs
+++ b/crates/jarvis-app/src/_app.rs
@ -0,0 +1,337 @@
+use std::sync::mpsc::Receiver;
+use std::time::SystemTime;
+
+use jarvis_core::{audio_buffer::AudioRingBuffer, audio, audio_processing, commands, config,  listener, recorder, stt, COMMANDS_LIST, intent, voices, ipc::{self, IpcEvent}};
+use rand::prelude::*;
+
+use crate::should_stop;
+
+// VAD state machine
+#[derive(Debug, Clone, Copy, PartialEq)]
+enum VadState {
+    WaitingForVoice,
+    VoiceActive,
+}
+
+pub fn start(text_cmd_rx: Receiver<String>) -> Result<(), ()> {
+    // start the loop
+    main_loop(text_cmd_rx)
+}
+
+fn main_loop(text_cmd_rx: Receiver<String>) -> Result<(), ()> {
+    let rt = tokio::runtime::Runtime::new().expect("Failed to create tokio runtime");
+    let mut start: SystemTime;
+    // let sounds_directory = audio::get_sound_directory().unwrap();
+    let frame_length: usize = 512; // default for every wake-word engine
+    let sample_rate: usize = 16000;
+    let mut frame_buffer: Vec<i16> = vec![0; frame_length];
+
+    // ring buffer: keep last 2 seconds of audio
+    let mut audio_buffer = AudioRingBuffer::new(2.0, frame_length, sample_rate);
+
+    // VAD state
+    let mut vad_state = VadState::WaitingForVoice;
+    let mut silence_frames: u32 = 0;
+
+    // how many frames of silence before we consider speech ended
+    // 1.5 seconds = 1.5 * (16000 / 512) ≈ 47 frames
+    // @TODO: Put this to config
+    let silence_threshold: u32 = ((1.5 * sample_rate as f32) / frame_length as f32) as u32;
+
+    // play some startup phrase
+    // audio::play_sound(&sounds_directory.join("run.wav"));
+    voices::play_greet();
+
+    // start recording
+    match recorder::start_recording() {
+        Ok(_) => info!("Recording started."),
+        Err(_) => {
+            error!("Cannot start recording.");
+            return Err(()); // quit
+        }
+    }
+
+    // notify GUI we're ready
+    ipc::send(IpcEvent::Idle);
+
+    // DEBUG counter
+    let mut frame_count: u32 = 0;
+
+    // the loop
+    'wake_word: loop {
+        // check for stop signal
+        if should_stop() {
+            info!("Stop signal received, shutting down...");
+            voices::play_goodbye();
+            ipc::send(IpcEvent::Stopping);
+            break;
+        }
+
+        // check for text commands
+        if let Ok(text) = text_cmd_rx.try_recv() {
+            process_text_command(&text, &rt);
+            continue 'wake_word;
+        }
+
+        // read from microphone
+        recorder::read_microphone(&mut frame_buffer);
+
+        // DEBUG: check raw audio
+        frame_count += 1;
+        let raw_rms = calculate_rms(&frame_buffer);
+
+        if frame_count % 100 == 0 {
+            info!("DEBUG [{}]: raw_rms={:.0}", frame_count, raw_rms);
+        }
+
+        // check if we're getting any audio at all
+        if frame_count == 100 && raw_rms < 10.0 {
+            warn!("WARNING: Microphone appears to be silent! RMS={:.0}", raw_rms);
+        }
+
+        // process audio (gain -> noise suppression -> VAD)
+        let processed = audio_processing::process(&frame_buffer);
+
+        if frame_count % 100 == 0 {
+            info!("DEBUG [{}]: is_voice={}, vad_conf={:.2}, processed_rms={:.0}", 
+                frame_count,
+                processed.is_voice, 
+                processed.vad_confidence,
+                calculate_rms(&processed.samples)
+            );
+        }
+
+        // skip if no voice detected (vad)
+        if !processed.is_voice {
+            continue 'wake_word;
+        }
+
+        // DEBUG: we passed VAD
+        if frame_count % 50 == 0 {
+            info!("DEBUG: Voice detected, checking wake word...");
+        }
+
+        // recognize wake-word
+        match listener::data_callback(&frame_buffer) {
+            Some(_keyword_index) => {
+                // notify GUI
+                ipc::send(IpcEvent::WakeWordDetected);
+
+                // reset some things
+                stt::reset_wake_recognizer();
+                stt::reset_speech_recognizer();
+                audio_processing::reset();
+
+                // wake-word activated, process further commands
+                // capture current time
+                start = SystemTime::now();
+                silence_frames = 0;
+
+                // play some reply phrase
+                // @TODO. Make it via commands or upcoming events system.
+                voices::play_reply();
+
+
+                // notify GUI we're listening
+                ipc::send(IpcEvent::Listening);
+
+                // wait for voice commands
+                'voice_recognition: loop {
+                    // check for stop
+                    if should_stop() {
+                        break 'wake_word;
+                    }
+
+                    // read from microphone
+                    recorder::read_microphone(&mut frame_buffer);
+
+                    // process first
+                    let processed = audio_processing::process(&frame_buffer);
+
+                    // detect silence, return to wake-word if silence
+                    if processed.is_voice {
+                        silence_frames = 0;
+                    } else {
+                        silence_frames += 1;
+                        if silence_frames > config::VAD_SILENCE_FRAMES * 2 {
+                            info!("Long silence detected, returning to wake word mode.");
+                            break 'voice_recognition;
+                        }
+                    }
+
+                    // stt part (without partials)
+                    if let Some(mut recognized_voice) = stt::recognize(&frame_buffer, false) {
+                        // something was recognized
+                        info!("Recognized voice: {}", recognized_voice);
+
+                        // notify GUI
+                        ipc::send(IpcEvent::SpeechRecognized {
+                            text: recognized_voice.clone(),
+                        });
+
+                        // filter recognized voice
+                        // @TODO. Better recognized voice filtration.
+                        recognized_voice = recognized_voice.to_lowercase();
+
+                        // answer again if it's activation phrase repeated
+                        if recognized_voice.contains(config::VOSK_FETCH_PHRASE) {
+                            info!("Wake word detected during chaining, reactivating...");
+                            
+                            // play greet sound
+                            // audio::play_sound(&sounds_directory.join(format!(
+                            //     "{}.wav",
+                            //     config::ASSISTANT_GREET_PHRASES
+                            //         .choose(&mut rand::thread_rng())
+                            //         .unwrap()
+                            // )));
+                            voices::play_reply();
+                            
+                            // reset timer and continue listening
+                            start = SystemTime::now();
+                            silence_frames = 0;
+                            stt::reset_speech_recognizer();
+
+                            ipc::send(IpcEvent::Listening);
+                            continue 'voice_recognition;
+                        }
+
+                        // filter out activation phrase from command
+                        for tbr in config::ASSISTANT_PHRASES_TBR {
+                            recognized_voice = recognized_voice.replace(tbr, "");
+                        }
+                        recognized_voice = recognized_voice.trim().into();
+
+                        // skip if nothing left after filtering (*evil laugh*)
+                        if recognized_voice.is_empty() {
+                            continue 'voice_recognition;
+                        }
+
+                        // execute command (shared executor)
+                        execute_command(&recognized_voice, &rt);
+
+                        // return to wake-word listening after command execution (no matter successful or not)
+                        break 'voice_recognition;
+                    }
+
+                    // only recognize voice for a certain period of time
+                    match start.elapsed() {
+                        Ok(elapsed) if elapsed > config::CMS_WAIT_DELAY => {
+                            // return to wake-word listening after N seconds
+                            break 'voice_recognition;
+                        }
+                        _ => (),
+                    }
+
+                    // reset things
+                    stt::reset_wake_recognizer();
+                    audio_processing::reset();
+                    ipc::send(IpcEvent::Idle);
+                }
+            }
+            None => (),
+        }
+    }
+
+    // cleanup
+    recorder::stop_recording().ok();
+    ipc::send(IpcEvent::Stopping);
+
+    Ok(())
+}
+
+
+// process text command from GUI
+fn process_text_command(text: &str, rt: &tokio::runtime::Runtime) {
+    info!("Processing text command: {}", text);
+    
+    ipc::send(IpcEvent::SpeechRecognized { text: text.to_string() });
+    
+    // filter text same as voice
+    let mut filtered = text.to_lowercase();
+    for tbr in config::ASSISTANT_PHRASES_TBR {
+        filtered = filtered.replace(tbr, "");
+    }
+    let filtered = filtered.trim();
+    
+    if filtered.is_empty() {
+        ipc::send(IpcEvent::Idle);
+        return;
+    }
+    
+    execute_command(filtered, rt);
+}
+
+// shared command execution logic (manual & voice)
+fn execute_command(text: &str, rt: &tokio::runtime::Runtime) {
+    let commands_list = match COMMANDS_LIST.get() {
+        Some(c) => c,
+        None => {
+            ipc::send(IpcEvent::Error { message: "Commands not loaded".to_string() });
+            ipc::send(IpcEvent::Idle);
+            return;
+        }
+    };
+    
+    // let sounds_directory = audio::get_sound_directory().unwrap();
+    
+    // try intent recognition first, fallback to levenshtein
+    let cmd_result = if let Some((intent_id, confidence)) = 
+        rt.block_on(intent::classify(text)) 
+    {
+        info!("Intent recognized: {} (confidence: {:.2})", intent_id, confidence);
+        intent::get_command_by_intent(commands_list, &intent_id)
+    } else {
+        info!("Intent not recognized, trying levenshtein fallback...");
+        commands::fetch_command(text, commands_list)
+    };
+    
+    if let Some((cmd_path, cmd_config)) = cmd_result {
+        info!("Command found: {:?}", cmd_path);
+        
+        match commands::execute_command(&cmd_path, &cmd_config) {
+            Ok(_) => {
+                info!("Command executed successfully");
+                voices::play_ok(); // command executed sound
+                ipc::send(IpcEvent::CommandExecuted {
+                    id: cmd_config.id.clone(),
+                    success: true,
+                });
+            }
+            Err(msg) => {
+                error!("Error executing command: {}", msg);
+                voices::play_error();
+                ipc::send(IpcEvent::CommandExecuted {
+                    id: cmd_config.id.clone(),
+                    success: false,
+                });
+                ipc::send(IpcEvent::Error { message: msg.to_string() });
+            }
+        }
+    } else {
+        info!("No command found for: {}", text);
+        // play "not understood" sound
+        // audio::play_sound(&sounds_directory.join("not_understand.wav"));
+        voices::play_not_found();
+        ipc::send(IpcEvent::Error { 
+            message: format!("Command not found: {}", text) 
+        });
+    }
+    
+    ipc::send(IpcEvent::Idle);
+}
+
+
+fn keyword_callback(keyword_index: i32) {}
+
+pub fn close(code: i32) {
+    info!("Closing application.");
+    voices::play_goodbye();
+    ipc::send(IpcEvent::Stopping);
+    std::process::exit(code);
+}
+
+fn calculate_rms(samples: &[i16]) -> f32 {
+    if samples.is_empty() { return 0.0; }
+    let sum: f64 = samples.iter().map(|&s| (s as f64).powi(2)).sum();
+    (sum / samples.len() as f64).sqrt() as f32
+}
--- a/crates/jarvis-app/src/_main.rs
+++ b/crates/jarvis-app/src/_main.rs
@ -0,0 +1,92 @@
+
+
+#[macro_use]
+extern crate lazy_static; // better switch to once_cell ?
+use pickledb::{PickleDb, PickleDbDumpPolicy, SerializationMethod};
+use log::{info};
+use log::LevelFilter;
+use std::sync::Mutex;
+
+// include assistant commands
+mod assistant_commands;
+use assistant_commands::AssistantCommand;
+
+// include vosk
+mod vosk;
+
+// include events
+mod events;
+
+// include recorder
+mod recorder;
+
+// init PickleDb connection
+lazy_static! {
+    static ref DB: Mutex<PickleDb> = Mutex::new(
+        PickleDb::load(
+            format!("{}/{}", APP_CONFIG_DIR.lock().unwrap(), DB_FILE_NAME),
+            PickleDbDumpPolicy::AutoDump,
+            SerializationMethod::Json
+        )
+        .unwrap_or_else(|_x: _| {
+            info!("Creating new db file at {} ...", format!("{}/{}", APP_CONFIG_DIR.lock().unwrap(), DB_FILE_NAME));
+            PickleDb::new(
+                format!("{}/{}", APP_CONFIG_DIR.lock().unwrap(), DB_FILE_NAME),
+                PickleDbDumpPolicy::AutoDump,
+                SerializationMethod::Json,
+            )
+        })
+    );
+}
+
+fn main() {
+    // init vosk
+    vosk::init_vosk();
+
+    // run the app
+    tauri::Builder::default()
+        .setup(|app| {
+            std::fs::create_dir_all(app.path_resolver().app_config_dir().unwrap())?;
+            APP_CONFIG_DIR.lock().unwrap().push_str(app.path_resolver().app_config_dir().unwrap().to_str().unwrap());
+
+            std::fs::create_dir_all(app.path_resolver().app_log_dir().unwrap())?;
+            APP_LOG_DIR.lock().unwrap().push_str(app.path_resolver().app_log_dir().unwrap().to_str().unwrap());
+
+            // log to file
+            let log_file_path = format!("{}/{}", APP_LOG_DIR.lock().unwrap(), config::LOG_FILE_NAME);
+            println!("!!!===============!!!\nLOGGING TO {}\n!!!===============!!!\n", &log_file_path);
+            simple_logging::log_to_file(&log_file_path, LevelFilter::max()).expect("Failed to start logger ... is directory writable?");
+
+            Ok(())
+        })
+        .invoke_handler(tauri::generate_handler![
+            // db commands
+            tauri_commands::db_read,
+            tauri_commands::db_write,
+            // recorder commands
+            tauri_commands::pv_get_audio_devices,
+            tauri_commands::pv_get_audio_device_name,
+            // listener commands
+            tauri_commands::start_listening,
+            tauri_commands::stop_listening,
+            tauri_commands::is_listening,
+            // sys commands
+            tauri_commands::get_current_ram_usage,
+            tauri_commands::get_peak_ram_usage,
+            tauri_commands::get_cpu_temp,
+            tauri_commands::get_cpu_usage,
+            // sound commands
+            tauri_commands::play_sound,
+            // fs commands
+            tauri_commands::show_in_folder,
+            // etc commands
+            tauri_commands::get_app_version,
+            tauri_commands::get_author_name,
+            tauri_commands::get_repository_link,
+            tauri_commands::get_tg_official_link,
+            tauri_commands::get_feedback_link,
+            tauri_commands::get_log_file_path
+        ])
+        .run(tauri::generate_context!())
+        .expect("error while running tauri application");
+}
--- a/crates/jarvis-app/src/app.rs
+++ b/crates/jarvis-app/src/app.rs
@ -0,0 +1,418 @@
+use std::sync::mpsc::Receiver;
+use std::time::SystemTime;
+
+use jarvis_core::{audio_buffer::AudioRingBuffer, audio_processing, commands, config, listener, recorder, stt, COMMANDS_LIST, intent, voices, ipc::{self, IpcEvent}, i18n, slots};
+use rand::seq::SliceRandom;
+
+use crate::should_stop;
+
+// VAD state machine
+#[derive(Debug, Clone, Copy, PartialEq)]
+enum VadState {
+    WaitingForVoice,
+    VoiceActive,
+}
+
+pub fn start(text_cmd_rx: Receiver<String>, rt: &tokio::runtime::Runtime) -> Result<(), ()> {
+    main_loop(text_cmd_rx, rt)
+}
+
+fn main_loop(text_cmd_rx: Receiver<String>, rt: &tokio::runtime::Runtime) -> Result<(), ()> {
+    let frame_length: usize = 512;
+    let sample_rate: usize = 16000;
+    let mut frame_buffer: Vec<i16> = vec![0; frame_length];
+    
+    // ring buffer: keeps last 5 seconds of audio (pre-roll)
+    let mut audio_buffer = AudioRingBuffer::new(5.0, frame_length, sample_rate);
+
+    // VAD state
+    let mut vad_state = VadState::WaitingForVoice;
+    let mut silence_frames: u32 = 0;
+    
+    // how many frames of silence before we consider speech ended
+    // 1.5 seconds = 1.5 * (16000 / 512) ≈ 47 frames
+    let silence_threshold: u32 = ((1.5 * sample_rate as f32) / frame_length as f32) as u32;
+    
+    voices::play_greet();
+
+    match recorder::start_recording() {
+        Ok(_) => info!("Recording started. Microphone: {}", 
+            recorder::get_audio_device_name(recorder::get_selected_microphone_index())),
+        Err(_) => {
+            error!("Cannot start recording.");
+            return Err(());
+        }
+    }
+
+    ipc::send(IpcEvent::Idle);
+
+    // ### WAKE WORD DETECTION LOOP
+    'wake_word: loop {
+        if should_stop() {
+            info!("Stop signal received, shutting down...");
+            voices::play_goodbye();
+            ipc::send(IpcEvent::Stopping);
+            break;
+        }
+
+        if let Ok(text) = text_cmd_rx.try_recv() {
+            process_text_command(&text, &rt);
+            continue 'wake_word;
+        }
+
+        recorder::read_microphone(&mut frame_buffer);
+        let processed = audio_processing::process(&frame_buffer);
+        
+        match vad_state {
+            VadState::WaitingForVoice => {
+                // always buffer audio
+                audio_buffer.push(&frame_buffer);
+                
+                if processed.is_voice {
+                    // voice started! flush buffer to Vosk
+                    info!("VAD: Voice started, flushing {} buffered frames", audio_buffer.len());
+                    
+                    for buffered_frame in audio_buffer.drain_all() {
+                        listener::data_callback(&buffered_frame);
+                    }
+                    
+                    vad_state = VadState::VoiceActive;
+                    silence_frames = 0;
+                }
+            }
+            
+            VadState::VoiceActive => {
+                // dual-feed: speech recognizer gets frames in parallel with wake word detector
+                let _ = stt::recognize(&frame_buffer, false);
+
+                // feed to wake word detector
+                if let Some(_keyword_index) = listener::data_callback(&frame_buffer) {
+                    // WAKE WORD DETECTED!
+                    info!("Wake word activated!");
+                    ipc::send(IpcEvent::WakeWordDetected);
+                    
+                    stt::reset_wake_recognizer();
+                    audio_processing::reset();
+
+                    // brief sniff to keep feeding STT while transitioning
+                    let sniff_frames = ((0.3 * sample_rate as f32) / frame_length as f32) as u32;
+                    for _ in 0..sniff_frames {
+                        recorder::read_microphone(&mut frame_buffer);
+                        audio_processing::process(&frame_buffer);
+                        stt::recognize(&frame_buffer, false);
+                    }
+
+                    ipc::send(IpcEvent::Listening);
+                    recognize_command(&mut frame_buffer, &rt, frame_length, sample_rate, true);
+
+                    // reset state after command
+                    vad_state = VadState::WaitingForVoice;
+                    silence_frames = 0;
+                    audio_buffer.clear();
+                    stt::reset_wake_recognizer();
+                    stt::reset_speech_recognizer(); // NOW reset, after command is done
+                    audio_processing::reset();
+                    ipc::send(IpcEvent::Idle);
+                    
+                    continue 'wake_word;
+                }
+                
+                // track silence
+                if processed.is_voice {
+                    silence_frames = 0;
+                } else {
+                    silence_frames += 1;
+                    
+                    if silence_frames > silence_threshold {
+                        debug!("VAD: Silence timeout, returning to wait state");
+                        vad_state = VadState::WaitingForVoice;
+                        silence_frames = 0;
+                        stt::reset_wake_recognizer();
+                        stt::reset_speech_recognizer(); // reset since we were dual-feeding
+                    }
+                }
+            }
+        }
+    }
+
+    recorder::stop_recording().ok();
+    ipc::send(IpcEvent::Stopping);
+
+    Ok(())
+}
+
+
+// Voice recognition for command after wake word
+fn recognize_command(
+    frame_buffer: &mut [i16],
+    rt: &tokio::runtime::Runtime,
+    frame_length: usize,
+    sample_rate: usize,
+    prefed_audio: bool
+) {
+    let mut audio_buffer = AudioRingBuffer::new(2.0, frame_length, sample_rate);
+    let mut vad_state = if prefed_audio {
+        VadState::VoiceActive
+    } else {
+        VadState::WaitingForVoice
+    };
+    let mut silence_frames: u32 = 0;
+    let mut start = SystemTime::now();
+    let mut first_recognition = prefed_audio;
+    
+    // longer silence threshold for commands (user might pause to think)
+    // 5 seconds
+    let silence_threshold: u32 = ((5.0 * sample_rate as f32) / frame_length as f32) as u32;
+    
+    loop {
+        if crate::should_stop() {
+            return;
+        }
+        
+        recorder::read_microphone(frame_buffer);
+        let processed = audio_processing::process(frame_buffer);
+        
+        match vad_state {
+            VadState::WaitingForVoice => {
+                audio_buffer.push(frame_buffer);
+                
+                if processed.is_voice {
+                    // flush buffer to STT
+                    for buffered_frame in audio_buffer.drain_all() {
+                        stt::recognize(&buffered_frame, false);
+                    }
+                    vad_state = VadState::VoiceActive;
+                    silence_frames = 0;
+                } else {
+                    silence_frames += 1;
+                    
+                    if silence_frames > silence_threshold {
+                        info!("Long silence detected, returning to wake word mode.");
+                        return;
+                    }
+                }
+            }
+            
+            VadState::VoiceActive => {
+                // feed to STT
+                if let Some(mut recognized_voice) = stt::recognize(frame_buffer, false) {
+                    info!("Recognized voice: {}", recognized_voice);
+                    
+                    ipc::send(IpcEvent::SpeechRecognized {
+                        text: recognized_voice.clone(),
+                    });
+                    
+                    recognized_voice = recognized_voice.to_lowercase();
+                    
+                    // check if wake word repeated (reactivate)
+                    let wake_phrases = config::get_wake_phrases(&i18n::get_language());
+                    let contains_wake = wake_phrases.iter().any(|wp| recognized_voice.contains(wp));
+
+                    if contains_wake {
+                        // strip the wake word
+                        let mut remaining = recognized_voice.clone();
+                        for wp in wake_phrases {
+                            remaining = remaining.replace(wp, "");
+                        }
+                        let remaining = remaining.trim();
+
+                        if remaining.is_empty() {
+                            if first_recognition {
+                                // leftover wake word from dual-feed, just discard it
+                                info!("Discarding initial wake word from prefed audio");
+                                first_recognition = false;
+                                stt::reset_speech_recognizer();
+                                voices::play_reply();
+                                vad_state = VadState::WaitingForVoice;
+                                silence_frames = 0;
+                                start = SystemTime::now();
+                                audio_buffer.clear();
+                                continue;
+                            }
+
+                            // just wake word, no command - reactivate
+                            info!("Wake word repeated during chaining, reactivating...");
+                            voices::play_reply();
+                            stt::reset_speech_recognizer();
+                            ipc::send(IpcEvent::Listening);
+                            
+                            vad_state = VadState::WaitingForVoice;
+                            silence_frames = 0;
+                            start = SystemTime::now();
+                            audio_buffer.clear();
+                            continue;
+                        } else {
+                            // wake word + command in one phrase - execute the command part
+                            info!("Wake word + command during chaining: '{}'", remaining);
+                            recognized_voice = remaining.to_string();
+                            // fall through to command execution below
+                        }
+                    }
+
+                    first_recognition = false;
+                    
+                    // filter activation phrases
+                    // for tbr in config::ASSISTANT_PHRASES_TBR {
+                    //     recognized_voice = recognized_voice.replace(tbr, "");
+                    // }
+                    for tbr in config::get_phrases_to_remove(&i18n::get_language()) {
+                        recognized_voice = recognized_voice.replace(tbr, "");
+                    }
+
+                    recognized_voice = recognized_voice.trim().to_string();
+                    
+                    if recognized_voice.len() < 5 {
+                        debug!("Ignoring too short recognition: '{}'", recognized_voice);
+                        continue;
+                    }
+
+                    if recognized_voice.is_empty() {
+                        continue;
+                    }
+                    
+                    // execute command and check if we should chain
+                    let should_chain = execute_command(&recognized_voice, rt);
+                    
+                    if should_chain {
+                        // chain: reset and continue listening
+                        info!("Chaining enabled, continuing to listen...");
+                        stt::reset_speech_recognizer();
+                        vad_state = VadState::WaitingForVoice;
+                        silence_frames = 0;
+                        start = SystemTime::now();
+                        audio_buffer.clear();
+                        ipc::send(IpcEvent::Listening);
+                        continue;
+                    } else {
+                        // no chain: return to wake word
+                        info!("No chain, returning to wake word mode.");
+                        return;
+                    }
+                }
+                
+                // track silence
+                if processed.is_voice {
+                    silence_frames = 0;
+                } else {
+                    silence_frames += 1;
+                    
+                    if silence_frames > silence_threshold {
+                        info!("Long silence detected, returning to wake word mode.");
+                        return;
+                    }
+                }
+            }
+        }
+        
+        // timeout
+        if let Ok(elapsed) = start.elapsed() {
+            if elapsed > config::CMS_WAIT_DELAY {
+                info!("Command timeout, returning to wake word mode.");
+                return;
+            }
+        }
+    }
+}
+
+
+fn process_text_command(text: &str, rt: &tokio::runtime::Runtime) {
+    info!("Processing text command: {}", text);
+    
+    ipc::send(IpcEvent::SpeechRecognized { text: text.to_string() });
+    
+    let mut filtered = text.to_lowercase();
+    // for tbr in config::ASSISTANT_PHRASES_TBR {
+    //     filtered = filtered.replace(tbr, "");
+    // }
+    for tbr in config::get_phrases_to_remove(&i18n::get_language()) {
+        filtered = filtered.replace(tbr, "");
+    }
+
+    let filtered = filtered.trim();
+    
+    if filtered.is_empty() {
+        ipc::send(IpcEvent::Idle);
+        return;
+    }
+    
+    // text commands never chain
+    execute_command(filtered, rt);
+}
+
+
+// Execute command, returns true if chaining should continue
+fn execute_command(text: &str, rt: &tokio::runtime::Runtime) -> bool {
+    let commands_list = match COMMANDS_LIST.get() {
+        Some(c) => c,
+        None => {
+            ipc::send(IpcEvent::Error { message: "Commands not loaded".to_string() });
+            ipc::send(IpcEvent::Idle);
+            return false;
+        }
+    };
+    
+    let cmd_result = if let Some((intent_id, confidence)) = 
+        rt.block_on(intent::classify(text)) 
+    {
+        info!("Intent recognized: {} (confidence: {:.2})", intent_id, confidence);
+        intent::get_command_by_intent(commands_list, &intent_id)
+    } else {
+        info!("Intent not recognized, trying levenshtein fallback...");
+        commands::fetch_command(text, commands_list)
+    };
+    
+    if let Some((cmd_path, cmd_config)) = cmd_result {
+        info!("Command found: {:?}", cmd_path);
+        
+        // extract slots if needed
+        let extracted_slots = if !cmd_config.slots.is_empty() {
+            let s = slots::extract(text, &cmd_config.slots);
+            if !s.is_empty() {
+                info!("Extracted slots: {:?}", s);
+            }
+            Some(s)
+        } else {
+            None
+        };
+
+        match commands::execute_command(&cmd_path, &cmd_config, Some(&text), extracted_slots.as_ref()) {
+            Ok(chain) => {
+                info!("Command executed successfully");
+                // voices::play_ok();
+                voices::play_random_from(cmd_config.get_sounds(&i18n::get_language()).as_slice());
+                ipc::send(IpcEvent::CommandExecuted {
+                    id: cmd_config.id.clone(),
+                    success: true,
+                });
+                ipc::send(IpcEvent::Idle);
+                return chain; // return chain status from command
+            }
+            Err(msg) => {
+                error!("Error executing command: {}", msg);
+                voices::play_error();
+                ipc::send(IpcEvent::CommandExecuted {
+                    id: cmd_config.id.clone(),
+                    success: false,
+                });
+                ipc::send(IpcEvent::Error { message: msg.to_string() });
+            }
+        }
+    } else {
+        info!("No command found for: {}", text);
+        voices::play_not_found();
+        ipc::send(IpcEvent::Error { 
+            message: format!("Command not found: {}", text) 
+        });
+    }
+    
+    ipc::send(IpcEvent::Idle);
+    false // no chain on error or not found
+}
+
+
+pub fn close(code: i32) {
+    info!("Closing application.");
+    voices::play_goodbye();
+    ipc::send(IpcEvent::Stopping);
+    std::process::exit(code);
+}
--- a/crates/jarvis-app/src/log.rs
+++ b/crates/jarvis-app/src/log.rs
@ -0,0 +1,25 @@
+use simple_log::LogConfigBuilder;
+
+use crate::config;
+use crate::APP_LOG_DIR;
+
+pub fn init_logging() -> Result<(), String> {
+    // configure logging
+    let config = LogConfigBuilder::builder()
+        .path(format!(
+            "{}/{}",
+            APP_LOG_DIR.get().unwrap().display(),
+            config::LOG_FILE_NAME
+        ))
+        .size(1 * 100)
+        .roll_count(10)
+        .time_format("%Y-%m-%d %H:%M:%S.%f")
+        .level("debug")?
+        .output_file()
+        .output_console()
+        .build();
+
+    simple_log::new(config)?;
+
+    Ok(())
+}
--- a/crates/jarvis-app/src/main.rs
+++ b/crates/jarvis-app/src/main.rs
@ -0,0 +1,173 @@
+use jarvis_core::slots;
+use std::sync::Arc;
+use std::sync::atomic::{AtomicBool, Ordering};
+use std::sync::mpsc;
+
+// include core
+use jarvis_core::{
+    audio, audio_processing, commands, config, db, listener, recorder, stt, intent,
+    ipc::{self, IpcAction},
+    i18n, voices, models,
+    APP_CONFIG_DIR, APP_LOG_DIR, COMMANDS_LIST, DB,
+};
+
+// include log
+#[macro_use]
+extern crate simple_log;
+mod log;
+
+// include app
+mod app;
+
+// include tray
+// @TODO. macOS currently not supported for tray functionality.
+#[cfg(not(target_os = "macos"))]
+mod tray;
+
+static SHOULD_STOP: AtomicBool = AtomicBool::new(false);
+
+fn main() -> Result<(), String> {
+    // initialize directories
+    config::init_dirs()?;
+
+    // initialize logging
+    log::init_logging()?;
+
+    // log some base info
+    info!("Starting Jarvis v{} ...", config::APP_VERSION.unwrap());
+    info!("Config directory is: {}", APP_CONFIG_DIR.get().unwrap().display());
+    info!("Log directory is: {}", APP_LOG_DIR.get().unwrap().display());
+
+    // initialize settings
+    let settings = db::init();
+
+    // set global DB (for core modules that read settings at init time)
+    DB.set(settings.arc().clone())
+            .expect("DB already initialized");
+
+    // init voices
+    let voice_id = settings.lock().voice.clone();
+    let language = settings.lock().language.clone();
+    if let Err(e) = voices::init(&voice_id, &language) {
+        warn!("Failed to init voices: {}", e);
+    }
+
+    // init i18n
+    i18n::init(&settings.lock().language);
+
+    // init recorder
+    if recorder::init().is_err() {
+        app::close(1);
+    }
+
+    // init models registry (scans available AI models)
+    if let Err(e) = models::init() {
+        warn!("Models registry init failed: {}", e);
+    }
+
+    // init stt engine
+    if stt::init().is_err() {
+        // @TODO. Allow continuing even without STT, if commands is using keywords or smthng?
+        app::close(1); // cannot continue without stt
+    }
+
+    // init commands
+    info!("Initializing commands.");
+    let cmds = match commands::parse_commands() {
+        Ok(c) => c,
+        Err(e) => {
+            warn!("Failed to parse commands: {}. Starting with empty command list.", e);
+            Vec::new()
+        }
+    };
+    info!("Commands initialized. Count: {}, List: {:?}", cmds.len(), commands::list_paths(&cmds));
+    COMMANDS_LIST.set(cmds).unwrap();
+
+    // init audio
+    if audio::init().is_err() {
+        // @TODO. Allow continuing even without audio?
+        app::close(1); // cannot continue without audio
+    }
+
+    // init wake-word engine
+    if let Err(e) = listener::init() {
+        error!("Wake-word engine init failed: {}", e);
+        app::close(1);
+    }
+
+    // shared async runtime for intent classification, IPC, etc.
+    let rt = Arc::new(
+        tokio::runtime::Runtime::new().expect("Failed to create tokio runtime")
+    );
+
+    // init intent-recognition engine
+    rt.block_on(async {
+        if let Err(e) = intent::init(COMMANDS_LIST.get().unwrap()).await {
+            error!("Failed to initialize intent classifier: {}", e);
+            app::close(1);
+        }
+    });
+
+    // init slots parsing engine
+    slots::init().map_err(|e| error!("Slot extraction init failed: {}", e)).ok();
+
+    // init audio processing
+    info!("Initializing audio processing...");
+    if let Err(e) = audio_processing::init() {
+        warn!("Audio processing init failed: {}", e);
+    }
+
+    // init IPC
+    info!("Initializing IPC...");
+    ipc::init();
+
+    // channel for text commands (manually written in the GUI)
+    let (text_cmd_tx, text_cmd_rx) = mpsc::channel::<String>();
+
+    ipc::set_action_handler(move |action| {
+        match action {
+            IpcAction::Stop => {
+                info!("Received stop command from GUI");
+                SHOULD_STOP.store(true, Ordering::SeqCst);
+            }
+            IpcAction::ReloadCommands => {
+                info!("Received reload commands request");
+                // TODO: implement reload
+            }
+            IpcAction::SetMuted { muted } => {
+                info!("Received mute request: {}", muted);
+                // TODO: implement mute
+            }
+            IpcAction::TextCommand { text } => {
+                info!("Received text command: {}", text);
+                if let Err(e) = text_cmd_tx.send(text) {
+                    error!("Failed to send text command to app: {}", e);
+                }
+            }
+            IpcAction::Ping => {
+                // handled internally by server
+            }
+            _ => {}
+        }
+    });
+
+    // start WebSocket server on the shared runtime
+    let ipc_rt = Arc::clone(&rt);
+    std::thread::spawn(move || {
+        ipc_rt.block_on(ipc::start_server());
+    });
+    
+    // start the app (in the background thread)
+    let app_rt = Arc::clone(&rt);
+    std::thread::spawn(move || {
+        let _ = app::start(text_cmd_rx, &app_rt);
+    });
+
+    tray::init_blocking(settings);
+
+    Ok(())
+}
+
+pub fn should_stop() -> bool {
+    SHOULD_STOP.load(Ordering::SeqCst)
+}
--- a/crates/jarvis-app/src/tray.rs
+++ b/crates/jarvis-app/src/tray.rs
@ -0,0 +1,226 @@
+mod menu;
+
+use tray_icon::{
+    menu::MenuEvent,
+    TrayIconBuilder,
+};
+use image;
+use std::process::Command;
+
+#[cfg(target_os="windows")]
+use winit::platform::windows::EventLoopBuilderExtWindows;
+
+use jarvis_core::{config, i18n, voices, ipc::{self, IpcEvent}, SettingsManager};
+
+const TRAY_ICON_BYTES: &[u8] = include_bytes!("../../../resources/icons/32x32.png");
+
+pub fn init_blocking(settings: SettingsManager) {
+    let icon = load_icon_from_bytes(TRAY_ICON_BYTES);
+
+    // build menu with settings submenus
+    let tray_menu = menu::build(&settings);
+    let menu::TrayMenu { menu, state: tray_state } = tray_menu;
+
+    let _tray_icon = TrayIconBuilder::new()
+        .with_menu(Box::new(menu))
+        .with_tooltip(i18n::t("tray-tooltip"))
+        .with_icon(icon)
+        .build()
+        .unwrap();
+
+    let menu_channel = MenuEvent::receiver();
+
+    #[cfg(target_os = "linux")]
+    {
+        gtk::init().unwrap();
+        glib::timeout_add_local(std::time::Duration::from_millis(100), move || {
+            if let Ok(event) = menu_channel.try_recv() {
+                handle_menu_event(&event, &settings, &tray_state);
+            }
+            glib::ControlFlow::Continue
+        });
+        gtk::main();
+    }
+
+    #[cfg(target_os = "macos")]
+    {
+        use winit::event_loop::{EventLoop, ControlFlow};
+        let event_loop = EventLoop::new().unwrap();
+        event_loop.run(move |_event, elwt| {
+            elwt.set_control_flow(ControlFlow::Wait);
+            if let Ok(event) = menu_channel.try_recv() {
+                handle_menu_event(&event, &settings, &tray_state);
+            }
+        }).unwrap();
+    }
+
+    #[cfg(target_os = "windows")]
+    {
+        loop {
+            if let Ok(event) = menu_channel.try_recv() {
+                handle_menu_event(&event, &settings, &tray_state);
+            }
+            
+            // pump Windows messages
+            unsafe {
+                let mut msg: winapi::um::winuser::MSG = std::mem::zeroed();
+                while winapi::um::winuser::PeekMessageW(
+                    &mut msg, 
+                    std::ptr::null_mut(), 
+                    0, 0, 
+                    winapi::um::winuser::PM_REMOVE
+                ) != 0 {
+                    winapi::um::winuser::TranslateMessage(&msg);
+                    winapi::um::winuser::DispatchMessageW(&msg);
+                }
+            }
+            std::thread::sleep(std::time::Duration::from_millis(50));
+        }
+    }
+
+    info!("Tray initialized.");
+}
+
+fn handle_menu_event(event: &MenuEvent, settings: &SettingsManager, tray_state: &menu::TrayState) {
+    let id = event.id.0.as_str();
+
+    // -- radio group: "set:key:value"
+    if let Some(rest) = id.strip_prefix("set:") {
+        if let Some((key, value)) = rest.split_once(':') {
+            match settings.write(key, value) {
+                Ok(()) => {
+                    info!("Tray: {} = {}", key, value);
+
+                    // update check marks in the radio group
+                    for group in &tray_state.radio_groups {
+                        if group.setting_key == key {
+                            group.select(value);
+                            break;
+                        }
+                    }
+
+                    // apply side effects
+                    match key {
+                        "language" => {
+                            i18n::set_language(value);
+                        }
+                        "assistant_voice" => {
+                            voices::set_current_voice(value);
+                        }
+                        _ => {}
+                    }
+                }
+                Err(e) => {
+                    warn!("Tray: failed to set {} = {}: {}", key, value, e);
+                }
+            }
+            return;
+        }
+    }
+
+    // -- toggle: "toggle:key"
+    if let Some(key) = id.strip_prefix("toggle:") {
+        match key {
+            "gain_normalizer" => {
+                // CheckMenuItem auto-toggles on click, just read the new state
+                let new_val = tray_state.gain_toggle.is_checked();
+                let val_str = if new_val { "true" } else { "false" };
+                if let Err(e) = settings.write(key, val_str) {
+                    warn!("Tray: failed to toggle {}: {}", key, e);
+                    // revert visual state on error
+                    tray_state.gain_toggle.set_checked(!new_val);
+                } else {
+                    info!("Tray: {} = {}", key, val_str);
+                }
+            }
+            _ => {}
+        }
+        return;
+    }
+
+    // -- action items
+    match id {
+        "exit" => std::process::exit(0),
+        "restart" => {
+            info!("Restarting from tray menu...");
+            restart_app();
+        }
+        "settings" => {
+            info!("Opening settings from tray menu...");
+            open_settings();
+        }
+        _ => {}
+    }
+}
+
+// HELPERS
+
+fn load_icon_from_bytes(bytes: &[u8]) -> tray_icon::Icon {
+    let image = image::load_from_memory(bytes)
+        .expect("Failed to load icon")
+        .into_rgba8();
+    let (width, height) = image.dimensions();
+    let rgba = image.into_raw();
+    tray_icon::Icon::from_rgba(rgba, width, height).expect("Failed to create icon")
+}
+
+fn restart_app() {
+    let exe_path = match std::env::current_exe() {
+        Ok(path) => path,
+        Err(e) => {
+            error!("Failed to get executable path: {}", e);
+            return;
+        }
+    };
+    
+    match Command::new(&exe_path).spawn() {
+        Ok(_) => {
+            info!("Spawned new instance, exiting current...");
+            std::process::exit(0);
+        }
+        Err(e) => {
+            error!("Failed to restart: {}", e);
+        }
+    }
+}
+
+fn open_settings() {
+    if ipc::has_clients() {
+        info!("GUI is connected, sending reveal event");
+        ipc::send(IpcEvent::RevealWindow);
+    } else {
+        info!("GUI not connected, launching jarvis-gui");
+        launch_gui();
+    }
+}
+
+fn launch_gui() {
+    let exe_path = match std::env::current_exe() {
+        Ok(path) => path,
+        Err(e) => {
+            error!("Failed to get executable path: {}", e);
+            return;
+        }
+    };
+    
+    let gui_path = exe_path.parent()
+        .map(|p| p.join(get_gui_executable_name()))
+        .unwrap_or_else(|| get_gui_executable_name().into());
+    
+    info!("Launching GUI: {:?}", gui_path);
+    
+    match Command::new(&gui_path).spawn() {
+        Ok(_) => info!("Launched jarvis-gui"),
+        Err(e) => error!("Failed to launch jarvis-gui: {}", e),
+    }
+}
+
+#[cfg(target_os = "windows")]
+fn get_gui_executable_name() -> &'static str {
+    "jarvis-gui.exe"
+}
+
+#[cfg(not(target_os = "windows"))]
+fn get_gui_executable_name() -> &'static str {
+    "jarvis-gui"
+}
--- a/crates/jarvis-app/src/tray/menu.rs
+++ b/crates/jarvis-app/src/tray/menu.rs
@ -0,0 +1,182 @@
+use tray_icon::menu::{CheckMenuItem, Menu, MenuItem, PredefinedMenuItem, Submenu};
+
+use jarvis_core::{i18n, voices, SettingsManager};
+use jarvis_core::config::structs::{WakeWordEngine, NoiseSuppressionBackend};
+
+// RADIO GROUP
+
+// a group of check menu items where only one can be active at a time.
+// stores (menu_item, setting_value) pairs.
+pub struct RadioGroup {
+    pub setting_key: String,
+    pub items: Vec<(CheckMenuItem, String)>,
+}
+
+impl RadioGroup {
+    pub fn select(&self, value: &str) {
+        for (item, val) in &self.items {
+            item.set_checked(val == value);
+        }
+    }
+}
+
+// TRAY MENU STATE
+
+pub struct TrayMenu {
+    pub menu: Menu,
+    pub state: TrayState,
+}
+
+// holds references to menu items for updating check marks after build
+pub struct TrayState {
+    pub radio_groups: Vec<RadioGroup>,
+    pub gain_toggle: CheckMenuItem,
+}
+
+// BUILD
+
+pub fn build(settings: &SettingsManager) -> TrayMenu {
+    let menu = Menu::new();
+
+    let mut radio_groups = Vec::new();
+
+    // -- language submenu
+    let lang_sub = Submenu::new(i18n::t("tray-language"), true);
+    let current_lang = settings.read("language").unwrap_or_default();
+    let mut lang_items = Vec::new();
+    for &lang in i18n::SUPPORTED_LANGUAGES {
+        let label = match lang {
+            "ru" => "Русский",
+            "en" => "English",
+            "ua" => "Українська",
+            _ => lang,
+        };
+        let item = CheckMenuItem::with_id(
+            format!("set:language:{}", lang),
+            label,
+            true,
+            lang == current_lang,
+            None,
+        );
+        let _ = lang_sub.append(&item);
+        lang_items.push((item, lang.to_string()));
+    }
+    radio_groups.push(RadioGroup {
+        setting_key: "language".to_string(),
+        items: lang_items,
+    });
+
+    // -- voice submenu
+    let voice_sub = Submenu::new(i18n::t("tray-voice"), true);
+    let current_voice = voices::get_current_voice()
+        .map(|v| v.voice.id.clone())
+        .unwrap_or_default();
+    let mut voice_items = Vec::new();
+    for voice in voices::list_voices() {
+        let item = CheckMenuItem::with_id(
+            format!("set:assistant_voice:{}", voice.voice.id),
+            &voice.voice.name,
+            true,
+            voice.voice.id == current_voice,
+            None,
+        );
+        let _ = voice_sub.append(&item);
+        voice_items.push((item, voice.voice.id.clone()));
+    }
+    radio_groups.push(RadioGroup {
+        setting_key: "assistant_voice".to_string(),
+        items: voice_items,
+    });
+
+    // -- wake word engine submenu
+    let ww_sub = Submenu::new(i18n::t("tray-wake-word"), true);
+    let current_ww = settings.read("selected_wake_word_engine").unwrap_or_default();
+    let mut ww_items = Vec::new();
+    for (label, value) in &[("Rustpotter", "Rustpotter"), ("Vosk", "Vosk")] {
+        let item = CheckMenuItem::with_id(
+            format!("set:selected_wake_word_engine:{}", value.to_lowercase()),
+            *label,
+            true,
+            current_ww == *label,
+            None,
+        );
+        let _ = ww_sub.append(&item);
+        ww_items.push((item, value.to_lowercase()));
+    }
+    radio_groups.push(RadioGroup {
+        setting_key: "selected_wake_word_engine".to_string(),
+        items: ww_items,
+    });
+
+    // -- noise suppression submenu
+    let ns_sub = Submenu::new(i18n::t("tray-noise-suppression"), true);
+    let current_ns = settings.read("noise_suppression").unwrap_or_default();
+    let mut ns_items = Vec::new();
+    for (label, value) in &[("None", "none"), ("Nnnoiseless", "nnnoiseless")] {
+        let item = CheckMenuItem::with_id(
+            format!("set:noise_suppression:{}", value),
+            *label,
+            true,
+            current_ns.to_lowercase() == *value,
+            None,
+        );
+        let _ = ns_sub.append(&item);
+        ns_items.push((item, value.to_string()));
+    }
+    radio_groups.push(RadioGroup {
+        setting_key: "noise_suppression".to_string(),
+        items: ns_items,
+    });
+
+    // -- vad submenu
+    let vad_sub = Submenu::new(i18n::t("tray-vad"), true);
+    let current_vad = settings.read("vad_backend").unwrap_or_default();
+    let mut vad_items = Vec::new();
+    for (label, value) in &[("None", "none"), ("Energy", "energy"), ("Nnnoiseless", "nnnoiseless")] {
+        let item = CheckMenuItem::with_id(
+            format!("set:vad_backend:{}", value),
+            *label,
+            true,
+            current_vad == *value,
+            None,
+        );
+        let _ = vad_sub.append(&item);
+        vad_items.push((item, value.to_string()));
+    }
+    radio_groups.push(RadioGroup {
+        setting_key: "vad_backend".to_string(),
+        items: vad_items,
+    });
+
+    // -- gain normalizer toggle
+    let gain_on = settings.read("gain_normalizer")
+        .map(|v| v == "true")
+        .unwrap_or(true);
+    let gain_toggle = CheckMenuItem::with_id(
+        "toggle:gain_normalizer",
+        i18n::t("tray-gain-normalizer"),
+        true,
+        gain_on,
+        None,
+    );
+
+    // -- assemble main menu
+    let _ = menu.append(&lang_sub);
+    let _ = menu.append(&voice_sub);
+    let _ = menu.append(&ww_sub);
+    let _ = menu.append(&ns_sub);
+    let _ = menu.append(&vad_sub);
+    let _ = menu.append(&gain_toggle);
+    let _ = menu.append(&PredefinedMenuItem::separator());
+    let _ = menu.append(&MenuItem::with_id("restart", i18n::t("tray-restart"), true, None));
+    let _ = menu.append(&MenuItem::with_id("settings", i18n::t("tray-settings"), true, None));
+    let _ = menu.append(&MenuItem::with_id("exit", i18n::t("tray-exit"), true, None));
+
+    TrayMenu {
+        menu,
+        state: TrayState {
+            radio_groups,
+            gain_toggle,
+        },
+    }
+}
--- a/crates/jarvis-cli/Cargo.toml
+++ b/crates/jarvis-cli/Cargo.toml
@ -0,0 +1,14 @@
+[package]
+name = "jarvis-cli"
+version.workspace = true
+authors.workspace = true
+license.workspace = true
+repository.workspace = true
+edition.workspace = true
+
+[dependencies]
+jarvis-core = { path = "../jarvis-core", default-features = false, features = ["intent"]}
+tokio = { version = "1", features = ["rt-multi-thread", "sync", "macros"] }
+log.workspace = true
+env_logger = "0.11"
+parking_lot.workspace = true
--- a/crates/jarvis-cli/src/main.rs
+++ b/crates/jarvis-cli/src/main.rs
@ -0,0 +1,203 @@
+use std::io::{self, Write};
+
+use jarvis_core::{COMMANDS_LIST, DB, JCommandsList, commands, config, db, intent};
+
+fn print_help() {
+    println!("
+--## Jarvis CLI - Testing Tool ##--
+
+Commands:
+  classify <text>    - Test intent classification
+  execute <text>     - Simulate voice input and execute command
+  list               - List all loaded commands
+  phrases            - List all training phrases
+  hash               - Show commands hash
+  settings           - Dump all settings
+  help               - Show this help
+  exit               - Exit the CLI
+");
+}
+
+fn list_commands(commands: &[JCommandsList]) {
+    println!("\n[ Loaded Commands ]");
+    for cmd_list in commands {
+        println!("  📁 {}", cmd_list.path.display());
+        for cmd in &cmd_list.commands {
+            println!("     ├─ id: {}", cmd.id);
+            println!("     ├─ type: {}", cmd.cmd_type);
+            println!("     └─ phrases: {} languages", cmd.phrases.len());
+        }
+    }
+    println!();
+}
+
+fn list_phrases(commands: &[JCommandsList]) {
+    println!("\n[ Training Phrases ]");
+    for cmd_list in commands {
+        for cmd in &cmd_list.commands {
+            println!("  [{}]", cmd.id);
+            for (lang, phrases) in &cmd.phrases {
+                println!("    lang: {}", lang);
+                for phrase in phrases {
+                    println!("      - {}", phrase);
+                }
+            }
+        }
+    }
+    println!();
+}
+
+async fn classify_text(text: &str) {
+    match intent::classify(text).await {
+        Some((intent_id, confidence)) => {
+            println!("  ✓ Intent: {} (confidence: {:.2}%)", intent_id, confidence * 100.0);
+        }
+        None => {
+            println!("  ✗ No intent matched (below threshold)");
+        }
+    }
+}
+
+async fn execute_text(commands: &[JCommandsList], text: &str) {
+    // try intent classification first
+    if let Some((intent_id, confidence)) = intent::classify(text).await {
+        println!("  Intent: {} (confidence: {:.2}%)", intent_id, confidence * 100.0);
+        
+        if let Some((cmd_path, cmd)) = intent::get_command_by_intent(commands, &intent_id) {
+            println!("  Command: {:?}", cmd_path);
+            println!("  Type: {}", cmd.cmd_type);
+            println!("  Executing...");
+            
+            match commands::execute_command(cmd_path, cmd, Some(text), None) {
+                Ok(chain) => println!("  ✓ Success (chain: {})", chain),
+                Err(e) => println!("  ✗ Error: {}", e),
+            }
+            return;
+        }
+    }
+    
+    // fallback to levenshtein
+    println!("  Intent not matched, trying levenshtein fallback...");
+    if let Some((cmd_path, cmd)) = commands::fetch_command(text, commands) {
+        println!("  Command: {:?}", cmd_path);
+        println!("  Type: {}", cmd.cmd_type);
+        println!("  Executing...");
+        
+        match commands::execute_command(cmd_path, cmd, Some(text), None) {
+            Ok(chain) => println!("  ✓ Success (chain: {})", chain),
+            Err(e) => println!("  ✗ Error: {}", e),
+        }
+    } else {
+        println!("  ✗ No command matched");
+    }
+}
+
+#[tokio::main]
+async fn main() -> Result<(), Box<dyn std::error::Error>> {
+    // init logging
+    env_logger::Builder::from_env(
+        env_logger::Env::default().default_filter_or("info")
+    ).init();
+    
+    println!("Jarvis CLI v{}", config::APP_VERSION.unwrap_or("unknown"));
+
+    // init dirs
+    config::init_dirs()?;
+    
+    // init settings
+    let settings = db::init();
+    DB.set(settings.arc().clone())
+        .expect("DB already initialized");
+
+    // parse commands
+    println!("\n[*] Loading commands...");
+    let cmds = match commands::parse_commands() {
+        Ok(c) => {
+            println!("    Loaded {} command groups", c.len());
+            c
+        }
+        Err(e) => {
+            println!("    Warning: {}", e);
+            Vec::new()
+        }
+    };
+    COMMANDS_LIST.set(cmds).expect("Failed to set commands list");
+    
+    // init intent classifier
+    println!("[*] Initializing intent classifier...");
+    match intent::init(COMMANDS_LIST.get().unwrap()).await {
+        Ok(_) => println!("    Intent classifier ready"),
+        Err(e) => println!("    Warning: {}", e),
+    }
+    
+    // init sound
+    println!("[*] Initializing audio...");
+    if let Err(e) = jarvis_core::audio::init() {
+        println!("    Warning: Audio init failed: {:?}", e);
+    }
+
+    print_help();
+
+    // REPL loop
+    let mut input = String::new();
+    loop {
+        print!("jarvis> ");
+        io::stdout().flush()?;
+        
+        input.clear();
+        io::stdin().read_line(&mut input)?;
+        let input = input.trim();
+        
+        if input.is_empty() {
+            continue;
+        }
+        
+        let parts: Vec<&str> = input.splitn(2, ' ').collect();
+        let cmd = parts[0];
+        let arg = parts.get(1).copied().unwrap_or("");
+        
+        match cmd {
+            "exit" | "quit" | "q" => {
+                println!("Bye!");
+                break;
+            }
+            "help" | "h" | "?" => print_help(),
+            "list" | "ls" => list_commands(COMMANDS_LIST.get().unwrap()),
+            "phrases" => list_phrases(COMMANDS_LIST.get().unwrap()),
+            "hash" => {
+                let hash = commands::commands_hash(COMMANDS_LIST.get().unwrap());
+                println!("  Commands hash: {}", hash);
+            }
+            "settings" => {
+                println!("\n[ Current Settings ]");
+                for (key, val) in settings.dump() {
+                    println!("  {} = {}", key, val);
+                }
+                println!();
+            }
+            "classify" | "c" => {
+                if arg.is_empty() {
+                    println!("  Usage: classify <text>");
+                } else {
+                    classify_text(arg).await;
+                }
+            }
+            "execute" | "exec" | "e" => {
+                if arg.is_empty() {
+                    println!("  Usage: execute <text>");
+                } else {
+                    execute_text(COMMANDS_LIST.get().unwrap(), arg).await;
+                }
+            }
+            "reload" => {
+                println!("  Note: Reload requires app restart (statics can't be reset)");
+            }
+            _ => {
+                // treat unknown commands as text to classify
+                classify_text(input).await;
+            }
+        }
+    }
+    
+    Ok(())
+}
--- a/crates/jarvis-core/Cargo.toml
+++ b/crates/jarvis-core/Cargo.toml
@ -0,0 +1,64 @@
+[package]
+name = "jarvis-core"
+version.workspace = true
+authors.workspace = true
+license.workspace = true
+repository.workspace = true
+edition.workspace = true
+
+[dependencies]
+serde.workspace = true
+serde_json.workspace = true
+serde_yaml.workspace = true
+once_cell.workspace = true
+log.workspace = true
+rand.workspace = true
+seqdiff.workspace = true
+hound.workspace = true
+platform-dirs.workspace = true
+rodio.workspace = true
+kira.workspace = true
+pv_recorder.workspace = true
+rustpotter.workspace = true
+parking_lot.workspace = true
+toml.workspace = true
+sha2.workspace = true
+nnnoiseless = { workspace = true, optional = true }
+tokio-tungstenite = { workspace = true, optional = true }
+futures-util = { workspace = true, optional = true }
+fluent.workspace = true
+fluent-bundle.workspace = true
+unic-langid.workspace = true
+chrono.workspace = true
+sys-locale.workspace = true
+
+# pv_recorder = { workspace = true, optional = true }
+vosk = { version = "0.3.1", optional = true }
+intent-classifier = { version = "0.1.0", optional = true }
+# rustpotter = { workspace = true, optional = true }
+
+tokio = { version = "1", features = ["sync"], optional = true }
+
+mlua = { workspace = true, optional = true }
+reqwest = { workspace = true, optional = true }
+tempfile.workspace = true
+
+fastembed = { workspace = true, optional = true }
+ort = { workspace = true, optional = true }
+ndarray = { workspace = true, optional = true }
+tokenizers = { workspace = true, optional = true }
+regex = { workspace = true, optional = true }
+
+[target.'cfg(windows)'.dependencies]
+winrt-notification = { workspace = true, optional = true }
+
+[features]
+default = ["jarvis_app"]
+jarvis_app = [
+    "vosk", "intent-classifier", "fastembed", "tokio", "nnnoiseless", "tokio-tungstenite", "futures-util",
+    "lua",
+    "ort", "ndarray", "tokenizers", "regex",]
+
+intent = ["intent-classifier", "tokio"]
+lua = ["mlua", "reqwest", "winrt-notification"]
+lua_only = ["lua", "tokio"]
--- a/crates/jarvis-core/src/audio.rs
+++ b/crates/jarvis-core/src/audio.rs
@ -0,0 +1,92 @@
+mod kira;
+mod rodio;
+
+use once_cell::sync::OnceCell;
+use std::path::PathBuf;
+
+use crate::config::structs::AudioType;
+use crate::{config, DB, SOUND_DIR};
+
+static AUDIO_TYPE: OnceCell<AudioType> = OnceCell::new();
+
+pub fn init() -> Result<(), ()> {
+    if AUDIO_TYPE.get().is_some() {
+        return Ok(());
+    } // already initialized
+
+    // set default audio type
+    // @TODO. Make it configurable?
+    AUDIO_TYPE.set(config::DEFAULT_AUDIO_TYPE).unwrap();
+
+    // load given audio backend
+    match AUDIO_TYPE.get().unwrap() {
+        AudioType::Rodio => {
+            // Init Rodio
+            info!("Initializing Rodio audio backend.");
+
+            match rodio::init() {
+                Ok(_) => {
+                    info!("Successfully initialized Rodio audio backend.");
+                }
+                Err(()) => {
+                    error!("Failed to initialize Rodio audio backend.");
+
+                    return Err(());
+                }
+            }
+        }
+        AudioType::Kira => {
+            // Init Kira
+            info!("Initializing Kira audio backend.");
+
+            match kira::init() {
+                Ok(_) => {
+                    info!("Successfully initialized Kira audio backend.");
+                }
+                Err(_msg) => {
+                    error!("Failed to initialize Kira audio backend.");
+
+                    return Err(());
+                }
+            }
+        }
+    }
+
+    Ok(())
+}
+
+pub fn play_sound(filename: &PathBuf) {
+    let audio_type = match AUDIO_TYPE.get() {
+        Some(t) => t,
+        None => {
+            warn!("Audio not initialized, cannot play: {}", filename.display());
+            return;
+        }
+    };
+    
+    info!("Playing {}", filename.display());
+
+    match audio_type {
+        AudioType::Rodio => {
+            rodio::play_sound(filename, true);
+        }
+        AudioType::Kira => kira::play_sound(filename),
+    }
+}
+
+pub fn get_sound_directory() -> Option<PathBuf> {
+    let db = DB.get()?;
+
+    let voice_path = {
+        let s = db.read();
+        SOUND_DIR.join(&s.voice)
+    };
+
+    match voice_path.exists() {
+        true => Some(voice_path),
+        _ => {
+            error!("No sounds folder found. Search path - {:?}", voice_path);
+            None
+        }
+    }
+}
--- a/crates/jarvis-core/src/audio/kira.rs
+++ b/crates/jarvis-core/src/audio/kira.rs
@ -0,0 +1,62 @@
+use once_cell::sync::OnceCell;
+use std::path::PathBuf;
+use std::sync::Mutex;
+
+// use kira::{
+//     manager::{backend::DefaultBackend, AudioManager, AudioManagerSettings},
+//     sound::static_sound::{StaticSoundData, StaticSoundSettings},
+// };
+
+use kira::{
+    AudioManager, AudioManagerSettings, DefaultBackend,
+    sound::static_sound::StaticSoundData,
+};
+
+static MANAGER: OnceCell<Mutex<AudioManager>> = OnceCell::new();
+
+pub fn init() -> Result<(), ()> {
+    if MANAGER.get().is_some() {
+        return Ok(());
+    }  // already initialized
+
+    // Create an audio manager. This plays sounds and manages resources.
+    match AudioManager::<DefaultBackend>::new(AudioManagerSettings::default()) {
+        Ok(manager) => {
+            // store
+            MANAGER.set(Mutex::new(manager)).ok();
+
+            // success
+            Ok(())
+        }
+        Err(msg) => {
+            error!("Failed to initialize audio stream.\nError details: {}", msg);
+
+            // failed
+            Err(())
+        }
+    }
+}
+
+// @TODO. Cache sounds in memory? With a pool of a certain size, for instance.
+pub fn play_sound(filename: &PathBuf) {
+    // load the file
+    match StaticSoundData::from_file(filename) {
+        Ok(sound_data) => {
+            // sound_data.duration() can be used in order to sleep, if (for some reason) blocking behaviour is required
+
+            // play it (non-blocking)
+            if let Some(manager) = MANAGER.get() {
+                if let Ok(mut audio_manager) = manager.lock() {
+                    if let Err(e) = audio_manager.play(sound_data) {
+                        warn!("Failed to play sound: {}", e);
+                    }
+                }
+            } else {
+                warn!("Audio manager not initialized");
+            }
+        }
+        Err(err) => {
+            warn!("Cannot find sound file: {} (err: {})", filename.display(), err);
+        }
+    }
+}
--- a/crates/jarvis-core/src/audio/rodio.rs
+++ b/crates/jarvis-core/src/audio/rodio.rs
@ -0,0 +1,65 @@
+/*
+    Abandoned temporary.
+    Problems with blocking behaviour.
+    Possible fixes are running rodio in a separate thread or smthng.
+*/
+
+use once_cell::sync::OnceCell;
+use std::fs::File;
+use std::io::BufReader;
+use std::path::PathBuf;
+
+// use rodio::{Decoder, OutputStream, OutputStreamHandle, Sink};
+use rodio::{Decoder, OutputStream, Sink};
+
+// static STREAM: OnceCell<OutputStream> = OnceCell::new();
+static STREAM_HANDLE: OnceCell<OutputStream> = OnceCell::new();
+static SINK: OnceCell<Sink> = OnceCell::new();
+
+pub fn init() -> Result<(), ()> {
+    if STREAM_HANDLE.get().is_some() {
+        return Ok(());
+    } // already initialized
+
+    // get output stream handle to the default physical sound device
+    match rodio::OutputStreamBuilder::open_default_stream() {
+        Ok(stream_handle) => {
+            // create sink
+            let sink = Sink::connect_new(&stream_handle.mixer());
+            info!("Sink initialized.");
+
+            // store
+            // STREAM.set(_stream).unwrap();
+            let _ = STREAM_HANDLE.set(stream_handle);
+            let _ = SINK.set(sink);
+
+            // success
+            Ok(())
+        }
+        Err(msg) => {
+            error!("Failed to initialize audio stream.\nError details: {}", msg);
+
+            // failed
+            Err(())
+        }
+    }
+}
+
+pub fn play_sound(filename: &PathBuf, sleep: bool) {
+    // Load a sound from a file, using a path relative to Cargo.toml
+    // let filepath = format!("{PUBLIC_PATH}/sound/{filename}.wav");
+    let file = BufReader::new(File::open(&filename).unwrap());
+
+    // Decode that sound file into a source
+    let source = Decoder::new(file).unwrap();
+
+    // Play the sound directly on the device
+    // STREAM_HANDLE.get().unwrap().play_raw(source.convert_samples());
+    SINK.get().unwrap().append(source);
+
+    if sleep {
+        // The sound plays in a separate thread. This call will block the current thread until the sink
+        // has finished playing all its queued sounds.
+        SINK.get().unwrap().sleep_until_end();
+    }
+}
--- a/crates/jarvis-core/src/audio_buffer.rs
+++ b/crates/jarvis-core/src/audio_buffer.rs
@ -0,0 +1,41 @@
+use std::collections::VecDeque;
+
+pub struct AudioRingBuffer {
+    buffer: VecDeque<Vec<i16>>,
+    max_frames: usize,
+}
+
+impl AudioRingBuffer {
+    // Create buffer that holds `seconds` worth of audio at given frame_size and sample_rate
+    pub fn new(seconds: f32, frame_size: usize, sample_rate: usize) -> Self {
+        let frames_per_second = sample_rate / frame_size;
+        let max_frames = (frames_per_second as f32 * seconds) as usize;
+        
+        Self {
+            buffer: VecDeque::with_capacity(max_frames),
+            max_frames,
+        }
+    }
+    
+    // Push a frame, dropping oldest if full
+    pub fn push(&mut self, frame: &[i16]) {
+        if self.buffer.len() >= self.max_frames {
+            self.buffer.pop_front();
+        }
+        self.buffer.push_back(frame.to_vec());
+    }
+    
+    // Drain all buffered frames into a single vec
+    pub fn drain_all(&mut self) -> Vec<Vec<i16>> {
+        self.buffer.drain(..).collect()
+    }
+    
+    // Get frame count
+    pub fn len(&self) -> usize {
+        self.buffer.len()
+    }
+    
+    pub fn clear(&mut self) {
+        self.buffer.clear();
+    }
+}
--- a/crates/jarvis-core/src/audio_processing.rs
+++ b/crates/jarvis-core/src/audio_processing.rs
@ -0,0 +1,117 @@
+pub mod noise_suppression;
+pub mod vad;
+pub mod gain_normalizer;
+
+use once_cell::sync::OnceCell;
+use parking_lot::Mutex;
+
+use crate::config::structs::NoiseSuppressionBackend;
+use crate::DB;
+
+static PROCESSOR: OnceCell<Mutex<AudioProcessor>> = OnceCell::new();
+
+#[derive(Debug, Clone)]
+pub struct ProcessedAudio {
+    pub samples: Vec<i16>,
+    pub is_voice: bool,
+    pub vad_confidence: f32,
+}
+
+struct AudioProcessor {
+    has_gain: bool,
+    has_ns: bool,
+}
+
+impl AudioProcessor {
+    fn new(ns: NoiseSuppressionBackend, gain: bool) -> Self {
+        noise_suppression::init(ns);
+        vad::init();
+        if gain {
+            gain_normalizer::init();
+        }
+
+        Self {
+            has_gain: gain,
+            has_ns: !matches!(ns, NoiseSuppressionBackend::None),
+        }
+    }
+
+    fn process(&mut self, input: &[i16]) -> ProcessedAudio {
+        let gained: Vec<i16>;
+        let after_gain: &[i16] = if self.has_gain {
+            gained = gain_normalizer::normalize(input);
+            &gained
+        } else {
+            input
+        };
+
+        let suppressed: Vec<i16>;
+        let after_ns: &[i16] = if self.has_ns {
+            suppressed = noise_suppression::process(after_gain);
+            &suppressed
+        } else {
+            after_gain
+        };
+
+        let (is_voice, confidence) = vad::detect(after_ns);
+
+        ProcessedAudio {
+            samples: after_ns.to_vec(),
+            is_voice,
+            vad_confidence: confidence,
+        }
+    }
+
+    fn reset(&mut self) {
+        noise_suppression::reset();
+        vad::reset();
+        gain_normalizer::reset();
+    }
+}
+
+pub fn init() -> Result<(), String> {
+    if PROCESSOR.get().is_some() {
+        return Ok(());
+    }
+
+    let (ns, gain) = get_settings();
+    info!("Initializing audio processing: NS={:?}, Gain={}", ns, gain);
+
+    let processor = AudioProcessor::new(ns, gain);
+    PROCESSOR
+        .set(Mutex::new(processor))
+        .map_err(|_| "Audio processor already initialized".to_string())?;
+
+    info!("Audio processing initialized.");
+    Ok(())
+}
+
+pub fn process(input: &[i16]) -> ProcessedAudio {
+    match PROCESSOR.get() {
+        Some(p) => p.lock().process(input),
+        None => ProcessedAudio {
+            samples: input.to_vec(),
+            is_voice: true,
+            vad_confidence: 1.0,
+        },
+    }
+}
+
+pub fn reset() {
+    if let Some(p) = PROCESSOR.get() {
+        p.lock().reset();
+    }
+}
+
+fn get_settings() -> (NoiseSuppressionBackend, bool) {
+    match DB.get() {
+        Some(db) => {
+            let settings = db.read();
+            (settings.noise_suppression, settings.gain_normalizer)
+        }
+        None => (
+            crate::config::DEFAULT_NOISE_SUPPRESSION,
+            crate::config::DEFAULT_GAIN_NORMALIZER,
+        ),
+    }
+}
--- a/crates/jarvis-core/src/audio_processing/gain_normalizer.rs
+++ b/crates/jarvis-core/src/audio_processing/gain_normalizer.rs
@ -0,0 +1,28 @@
+mod simple;
+
+use once_cell::sync::OnceCell;
+use parking_lot::Mutex;
+
+static NORMALIZER: OnceCell<Mutex<simple::GainNormalizer>> = OnceCell::new();
+
+pub fn init() {
+    if NORMALIZER.get().is_some() {
+        return;
+    }
+
+    NORMALIZER.set(Mutex::new(simple::GainNormalizer::new())).ok();
+    info!("Gain normalizer: enabled");
+}
+
+pub fn normalize(input: &[i16]) -> Vec<i16> {
+    match NORMALIZER.get() {
+        Some(n) => n.lock().normalize(input),
+        None => input.to_vec(),
+    }
+}
+
+pub fn reset() {
+    if let Some(n) = NORMALIZER.get() {
+        n.lock().reset();
+    }
+}
--- a/crates/jarvis-core/src/audio_processing/gain_normalizer/simple.rs
+++ b/crates/jarvis-core/src/audio_processing/gain_normalizer/simple.rs
@ -0,0 +1,47 @@
+use crate::config;
+
+pub struct GainNormalizer {
+    current_gain: f32,
+}
+
+impl GainNormalizer {
+    pub fn new() -> Self {
+        Self { current_gain: 1.0 }
+    }
+
+    pub fn normalize(&mut self, input: &[i16]) -> Vec<i16> {
+        let rms = self.calculate_rms(input);
+        
+        if rms < 1.0 {
+            return input.to_vec();
+        }
+
+        let target_gain = config::GAIN_TARGET_RMS / rms;
+        let clamped_gain = target_gain.clamp(config::GAIN_MIN, config::GAIN_MAX);
+
+        self.current_gain = self.current_gain * 0.9 + clamped_gain * 0.1;
+
+        input.iter()
+            .map(|&s| {
+                let amplified = (s as f32) * self.current_gain;
+                amplified.clamp(i16::MIN as f32, i16::MAX as f32) as i16
+            })
+            .collect()
+    }
+
+    pub fn reset(&mut self) {
+        self.current_gain = 1.0;
+    }
+
+    fn calculate_rms(&self, samples: &[i16]) -> f32 {
+        if samples.is_empty() {
+            return 0.0;
+        }
+
+        let sum: f64 = samples.iter()
+            .map(|&s| (s as f64).powi(2))
+            .sum();
+
+        (sum / samples.len() as f64).sqrt() as f32
+    }
+}
--- a/crates/jarvis-core/src/audio_processing/noise_suppression.rs
+++ b/crates/jarvis-core/src/audio_processing/noise_suppression.rs
@ -0,0 +1,65 @@
+mod none;
+
+use once_cell::sync::OnceCell;
+use parking_lot::Mutex;
+
+use crate::config::structs::NoiseSuppressionBackend;
+
+static BACKEND: OnceCell<NoiseSuppressionBackend> = OnceCell::new();
+
+#[cfg(feature = "nnnoiseless")]
+static NNNOISELESS_STATE: OnceCell<Mutex<crate::models::nnnoiseless::NnnoiselessNS>> = OnceCell::new();
+
+pub fn init(backend: NoiseSuppressionBackend) {
+    if BACKEND.get().is_some() {
+        return;
+    }
+
+    // fallback if nnnoiseless not compiled in
+    #[cfg(not(feature = "nnnoiseless"))]
+    if matches!(backend, NoiseSuppressionBackend::Nnnoiseless) {
+        warn!("Nnnoiseless not compiled in, falling back to None");
+        backend = NoiseSuppressionBackend::None;
+    }
+
+    BACKEND.set(backend).ok();
+
+    match backend {
+        NoiseSuppressionBackend::None => {
+            info!("Noise suppression: disabled");
+        }
+        #[cfg(feature = "nnnoiseless")]
+        NoiseSuppressionBackend::Nnnoiseless => {
+            NNNOISELESS_STATE.set(Mutex::new(crate::models::nnnoiseless::NnnoiselessNS::new())).ok();
+            info!("Noise suppression: Nnnoiseless");
+        }
+        #[cfg(not(feature = "nnnoiseless"))]
+        _ => {}
+    }
+}
+
+pub fn process(input: &[i16]) -> Vec<i16> {
+    match BACKEND.get() {
+        #[cfg(feature = "nnnoiseless")]
+        Some(NoiseSuppressionBackend::Nnnoiseless) => {
+            if let Some(state) = NNNOISELESS_STATE.get() {
+                state.lock().process(input)
+            } else {
+                none::process(input)
+            }
+        }
+        _ => none::process(input),
+    }
+}
+
+pub fn reset() {
+    match BACKEND.get() {
+        #[cfg(feature = "nnnoiseless")]
+        Some(NoiseSuppressionBackend::Nnnoiseless) => {
+            if let Some(state) = NNNOISELESS_STATE.get() {
+                state.lock().reset();
+            }
+        }
+        _ => {}
+    }
+}
--- a/crates/jarvis-core/src/audio_processing/noise_suppression/none.rs
+++ b/crates/jarvis-core/src/audio_processing/noise_suppression/none.rs
@ -0,0 +1,4 @@
+// return unprocessed input
+pub fn process(input: &[i16]) -> Vec<i16> {
+    input.to_vec()
+}
--- a/crates/jarvis-core/src/audio_processing/vad.rs
+++ b/crates/jarvis-core/src/audio_processing/vad.rs
@ -0,0 +1,72 @@
+mod none;
+mod energy;
+
+use once_cell::sync::OnceCell;
+use parking_lot::Mutex;
+
+use crate::DB;
+
+static BACKEND: OnceCell<String> = OnceCell::new();
+
+#[cfg(feature = "nnnoiseless")]
+static NNNOISELESS_STATE: OnceCell<Mutex<crate::models::nnnoiseless::NnnoiselessVAD>> = OnceCell::new();
+
+pub fn init() {
+    if BACKEND.get().is_some() {
+        return;
+    }
+
+    let backend = DB.get()
+        .map(|db| db.read().vad_backend.clone())
+        .unwrap_or_else(|| "energy".to_string());
+
+    BACKEND.set(backend.clone()).ok();
+
+    match backend.as_str() {
+        "none" => {
+            info!("VAD: disabled");
+        }
+        "energy" => {
+            info!("VAD: Energy-based");
+        }
+        #[cfg(feature = "nnnoiseless")]
+        "nnnoiseless" => {
+            NNNOISELESS_STATE.set(Mutex::new(crate::models::nnnoiseless::NnnoiselessVAD::new())).ok();
+            info!("VAD: Nnnoiseless");
+        }
+        other => {
+            warn!("Unknown VAD backend '{}', falling back to energy", other);
+            // overwrite with energy
+            // (BACKEND already set, so energy::detect will be used via fallthrough)
+        }
+    }
+}
+
+// returns (is_voice, confidence)
+pub fn detect(input: &[i16]) -> (bool, f32) {
+    match BACKEND.get().map(|s| s.as_str()) {
+        Some("none") | None => none::detect(input),
+        Some("energy") => energy::detect(input),
+        #[cfg(feature = "nnnoiseless")]
+        Some("nnnoiseless") => {
+            if let Some(state) = NNNOISELESS_STATE.get() {
+                state.lock().detect(input)
+            } else {
+                energy::detect(input)
+            }
+        }
+        _ => energy::detect(input),
+    }
+}
+
+pub fn reset() {
+    match BACKEND.get().map(|s| s.as_str()) {
+        #[cfg(feature = "nnnoiseless")]
+        Some("nnnoiseless") => {
+            if let Some(state) = NNNOISELESS_STATE.get() {
+                state.lock().reset();
+            }
+        }
+        _ => {}
+    }
+}
--- a/crates/jarvis-core/src/audio_processing/vad/energy.rs
+++ b/crates/jarvis-core/src/audio_processing/vad/energy.rs
@ -0,0 +1,24 @@
+use crate::config;
+
+// Simple energy-based VAD
+pub fn detect(input: &[i16]) -> (bool, f32) {
+    let rms = calculate_rms(input);
+    let is_voice = rms > config::VAD_ENERGY_THRESHOLD;
+    
+    // normalize confidence to 0-1 range (rough approximation)
+    let confidence = (rms / (config::VAD_ENERGY_THRESHOLD * 2.0)).min(1.0);
+    
+    (is_voice, confidence)
+}
+
+fn calculate_rms(samples: &[i16]) -> f32 {
+    if samples.is_empty() {
+        return 0.0;
+    }
+    
+    let sum: f64 = samples.iter()
+        .map(|&s| (s as f64).powi(2))
+        .sum();
+    
+    (sum / samples.len() as f64).sqrt() as f32
+}
--- a/crates/jarvis-core/src/audio_processing/vad/none.rs
+++ b/crates/jarvis-core/src/audio_processing/vad/none.rs
@ -0,0 +1,4 @@
+// Always returns voice detected (no vad)
+pub fn detect(_input: &[i16]) -> (bool, f32) {
+    (true, 1.0)
+}
--- a/crates/jarvis-core/src/commands.rs
+++ b/crates/jarvis-core/src/commands.rs
@ -0,0 +1,319 @@
+use std::collections::HashMap;
+use std::path::{Path, PathBuf};
+use std::fs;
+use std::time::Duration;
+use std::process::{Child, Command};
+
+use seqdiff::ratio;
+
+mod structs;
+pub use structs::*;
+
+use crate::{config, i18n, APP_DIR};
+
+#[cfg(feature = "lua")]
+use crate::lua::{self, SandboxLevel, CommandContext};
+
+pub fn parse_commands() -> Result<Vec<JCommandsList>, String> {
+    let mut commands: Vec<JCommandsList> = Vec::new();
+
+    let commands_path = APP_DIR.join(config::COMMANDS_PATH);
+    let cmd_dirs = fs::read_dir(&commands_path)
+        .map_err(|e| format!("Error reading commands directory {:?}: {}", commands_path, e))?;
+
+    for entry in cmd_dirs.flatten() {
+        let cmd_path = entry.path();
+        let toml_file = cmd_path.join("command.toml");
+        
+        if !toml_file.exists() {
+            continue;
+        }
+        
+        let content = match fs::read_to_string(&toml_file) {
+            Ok(c) => c,
+            Err(e) => {
+                warn!("Failed to read {}: {}", toml_file.display(), e);
+                continue;
+            }
+        };
+
+        let file: JCommandsList = match toml::from_str(&content) {
+            Ok(f) => f,
+            Err(e) => {
+                warn!("Failed to parse {}: {}", toml_file.display(), e);
+                continue;
+            }
+        };
+
+        commands.push(JCommandsList {
+            path: cmd_path,
+            commands: file.commands,
+        });
+    }
+
+    if commands.is_empty() {
+        Err("No commands found".into())
+    } else {
+        info!("Loaded {} command pack(s)", commands.len());
+        Ok(commands)
+    }
+}
+
+
+pub fn commands_hash(commands: &[JCommandsList]) -> String {
+    use sha2::{Sha256, Digest};
+    
+    let mut hasher = Sha256::new();
+    
+    let lang = i18n::get_language();
+    hasher.update(lang.as_bytes());
+    hasher.update(b"|");
+
+    // collect all command ids and phrases for current language, sorted
+    let mut all_data: Vec<(&str, _)> = commands.iter()
+        .flat_map(|ac| ac.commands.iter().map(|c| (c.id.as_str(), c.get_phrases(&lang))))
+        .collect();
+    all_data.sort_by_key(|(id, _)| *id);
+    
+    for (id, phrases) in all_data {
+        hasher.update(id.as_bytes());
+        for phrase in phrases.iter() {
+            hasher.update(phrase.as_bytes());
+        }
+    }
+    
+    format!("{:x}", hasher.finalize())
+}
+
+
+pub fn fetch_command<'a>(
+    phrase: &str,
+    commands: &'a [JCommandsList],
+) -> Option<(&'a PathBuf, &'a JCommand)> {
+    let lang = i18n::get_language();
+
+    let phrase = phrase.trim().to_lowercase();
+    if phrase.is_empty() {
+        return None;
+    }
+
+    let phrase_chars: Vec<char> = phrase.chars().collect();
+    let phrase_words: Vec<&str> = phrase.split_whitespace().collect();
+
+    let mut result: Option<(&PathBuf, &JCommand)> = None;
+    let mut best_score = config::CMD_RATIO_THRESHOLD;
+
+    for cmd_list in commands {
+        for cmd in &cmd_list.commands {
+            let cmd_phrases = cmd.get_phrases(&lang);
+            
+            for cmd_phrase in cmd_phrases.iter() {
+                let cmd_phrase_lower = cmd_phrase.trim().to_lowercase();
+                let cmd_phrase_chars: Vec<char> = cmd_phrase_lower.chars().collect();
+                
+                // character-level similarity
+                let char_ratio = ratio(&phrase_chars, &cmd_phrase_chars);
+                
+                // word-level similarity
+                let cmd_words: Vec<&str> = cmd_phrase_lower.split_whitespace().collect();
+                let word_score = word_overlap_score(&phrase_words, &cmd_words);
+                
+                // combined score
+                let score = (char_ratio * 0.6) + (word_score * 0.4);
+                
+                // early exit on perfect match
+                if score >= 99.0 {
+                    debug!("Perfect match: '{}' -> '{}'", phrase, cmd_phrase_lower);
+                    return Some((&cmd_list.path, cmd));
+                }
+                
+                if score > best_score {
+                    best_score = score;
+                    result = Some((&cmd_list.path, cmd));
+                }
+            }
+        }
+    }
+
+    if let Some((_, cmd)) = result {
+        info!("Fuzzy match: '{}' -> cmd '{}' (score: {:.1}%)", phrase, cmd.id, best_score);
+    } else {
+        debug!("No match for '{}' (best: {:.1}%)", phrase, best_score);
+    }
+    
+    result
+}
+
+
+fn word_overlap_score(input_words: &[&str], cmd_words: &[&str]) -> f64 {
+    if input_words.is_empty() || cmd_words.is_empty() {
+        return 0.0;
+    }
+
+    let mut matched = 0.0;
+    
+    // pre-compute cmd word chars to avoid repeated allocations
+    let cmd_word_chars: Vec<Vec<char>> = cmd_words
+        .iter()
+        .map(|w| w.chars().collect())
+        .collect();
+    
+    for input_word in input_words {
+        let input_chars: Vec<char> = input_word.chars().collect();
+        
+        let best_word_match = cmd_word_chars
+            .iter()
+            .map(|cw| ratio(&input_chars, cw))
+            .fold(0.0_f64, f64::max);
+        
+        if best_word_match > 70.0 {
+            matched += best_word_match / 100.0;
+        }
+    }
+
+    let max_words = input_words.len().max(cmd_words.len()) as f64;
+    (matched / max_words) * 100.0
+}
+
+
+
+
+pub fn execute_exe(exe: &str, args: &[String]) -> std::io::Result<Child> {
+    Command::new(exe).args(args).spawn()
+}
+
+pub fn execute_cli(cmd: &str, args: &[String]) -> std::io::Result<Child> {
+    debug!("Spawning: cmd /C {} {:?}", cmd, args);
+
+    if cfg!(target_os = "windows") {
+        Command::new("cmd").arg("/C").arg(cmd).args(args).spawn()
+    } else {
+        Command::new("sh").arg("-c").arg(cmd).args(args).spawn()
+    }
+}
+
+pub fn execute_command(cmd_path: &PathBuf, cmd_config: &JCommand, phrase: Option<&str>, slots: Option<&HashMap<String, SlotValue>>) -> Result<bool, String> {
+    // execute command by the type
+    match cmd_config.cmd_type.as_str() {
+
+        // BRUH
+        "voice" => Ok(true),
+        
+        // LUA command
+        #[cfg(feature = "lua")]
+        "lua" => {
+            execute_lua_command(cmd_path, cmd_config, phrase, slots)
+        }
+
+        // AutoHotkey command
+        // @TODO: Consider adding ahk source files execution?
+        "ahk" => {
+            let exe_path_absolute = Path::new(&cmd_config.exe_path);
+            let exe_path_local = cmd_path.join(&cmd_config.exe_path);
+
+            let exe_path = if exe_path_absolute.exists() {
+                exe_path_absolute
+            } else {
+                exe_path_local.as_path()
+            };
+
+            execute_exe(exe_path.to_str().unwrap(), &cmd_config.exe_args)
+                .map(|_| true)
+                .map_err(|e| format!("AHK process spawn error: {}", e))
+        }
+        
+        // CLI command type
+        // @TODO: Consider security restrictions
+        "cli" => {
+            execute_cli(&cmd_config.cli_cmd, &cmd_config.cli_args)
+                .map(|_| true)
+                .map_err(|e| format!("CLI command error: {}", e))
+        }
+        
+        // TERMINATOR command (T1000)
+        "terminate" => {
+            std::thread::sleep(Duration::from_secs(2));
+            std::process::exit(0);
+        }
+        
+        // STOP CHANING
+        "stop_chaining" => Ok(false),
+
+        // other
+        _ => {
+            error!("Command type unknown: {}", cmd_config.cmd_type);
+            Err(format!("Command type unknown: {}", cmd_config.cmd_type).into())
+        }
+    }
+}
+
+// look up a command by its ID
+pub fn get_command_by_id<'a>(
+    commands: &'a [JCommandsList],
+    id: &str,
+) -> Option<(&'a PathBuf, &'a JCommand)> {
+    for cmd_list in commands {
+        for cmd in &cmd_list.commands {
+            if cmd.id == id {
+                return Some((&cmd_list.path, cmd));
+            }
+        }
+    }
+    None
+}
+
+pub fn list_paths(commands: &[JCommandsList]) -> Vec<&Path> {
+    commands.iter().map(|x| x.path.as_path()).collect()
+}
+
+#[cfg(feature = "lua")]
+fn execute_lua_command(
+    cmd_path: &PathBuf,
+    cmd_config: &JCommand,
+    phrase: Option<&str>,
+    slots: Option<&HashMap<String, SlotValue>>
+) -> Result<bool, String> {
+    // get script path
+
+    let script_name = if cmd_config.script.is_empty() {
+        "script.lua"
+    } else {
+        &cmd_config.script
+    };
+    
+    let script_path = cmd_path.join(script_name);
+    
+    if !script_path.exists() {
+        return Err(format!("Lua script not found: {}", script_path.display()));
+    }
+    
+    // parse sandbox level
+    let sandbox = SandboxLevel::from_str(&cmd_config.sandbox);
+
+    // create context
+    let context = CommandContext {
+        phrase: phrase.unwrap_or("").to_string(),
+        command_id: cmd_config.id.clone(),
+        command_path: cmd_path.clone(),
+        language: i18n::get_language(),
+        slots: slots.map(|s| s.clone()),
+    };
+    
+    // get timeout
+    let timeout = Duration::from_millis(cmd_config.timeout);
+    
+    info!("Executing Lua command: {} (sandbox: {:?}, timeout: {:?})", 
+          cmd_config.id, sandbox, timeout);
+    
+    // execute
+    match lua::execute(&script_path, context, sandbox, timeout) {
+        Ok(result) => {
+            info!("Lua command {} completed (chain: {})", cmd_config.id, result.chain);
+            Ok(result.chain)
+        }
+        Err(e) => {
+            error!("Lua command {} failed: {}", cmd_config.id, e);
+            Err(e.to_string())
+        }
+    }
+}
--- a/crates/jarvis-core/src/commands/structs.rs
+++ b/crates/jarvis-core/src/commands/structs.rs
@ -0,0 +1,179 @@
+use std::{collections::HashMap, path::PathBuf, sync::Arc};
+use serde::{Serialize, Deserialize};
+use parking_lot::RwLock;
+
+#[derive(Serialize, Deserialize, Debug)]
+pub struct JCommandsList {
+    #[serde(skip)]
+    pub path: PathBuf,
+
+    pub commands: Vec<JCommand>,
+}
+
+
+
+#[derive(Serialize, Deserialize, Debug)]
+pub struct JCommand {
+    pub id: String,
+
+    // Available command types are: "lua", "ahk", "cli", "voice", "terminate", "stop_chaining"
+    #[serde(rename = "type")]
+    pub cmd_type: String,
+    
+    #[serde(default)]
+    pub description: String,
+    
+    // for "ahk" type
+    #[serde(default)]
+    pub exe_path: String,
+    #[serde(default)]
+    pub exe_args: Vec<String>,
+    
+    // for "cli" type
+    #[serde(default)]
+    pub cli_cmd: String,
+    #[serde(default)]
+    pub cli_args: Vec<String>,
+    
+    // #[serde(default)]
+    // pub sounds: Vec<String>,
+
+    // for "lua" type
+    #[serde(default)]
+    pub script: String,
+
+    // Lua sandbox level: "minimal", "standard", "full"
+    // basically this is an access level
+    #[serde(default)]
+    pub sandbox: String,
+
+    // Script timeout in milliseconds (default 10000 = 10s)
+    #[serde(default)]
+    pub timeout: u64,
+
+    // Multi-language sounds
+    #[serde(default)]
+    pub sounds: HashMap<String, Vec<String>>,
+
+    // Multi-language phrases
+    #[serde(default)]
+    pub phrases: HashMap<String, Vec<String>>,
+
+    // Slot definitions: slot_name -> how to extract it
+    #[serde(default)]
+    pub slots: HashMap<String, SlotDefinition>,
+
+    // CACHE
+    #[serde(skip, default)]
+    sounds_cache: RwLock<HashMap<String, Arc<Vec<String>>>>,
+    
+    #[serde(skip, default)]
+    phrases_cache: RwLock<HashMap<String, Arc<Vec<String>>>>,
+}
+
+// custom Clone 
+impl Clone for JCommand {
+    fn clone(&self) -> Self {
+        Self {
+            id: self.id.clone(),
+
+            cmd_type: self.cmd_type.clone(),
+            description: self.description.clone(),
+
+            exe_path: self.exe_path.clone(),
+            exe_args: self.exe_args.clone(),
+
+            cli_cmd: self.cli_cmd.clone(),
+            cli_args: self.cli_args.clone(),
+
+            script: self.script.clone(),
+            sandbox: self.sandbox.clone(),
+            timeout: self.timeout.clone(),
+
+            sounds: self.sounds.clone(),
+            phrases: self.phrases.clone(),
+
+            slots: self.slots.clone(),
+
+            // empty caches for cloned instance
+            sounds_cache: RwLock::new(HashMap::new()),
+            phrases_cache: RwLock::new(HashMap::new()),
+        }
+    }
+}
+
+impl JCommand {
+    // get phrases for current language
+    pub fn get_phrases(&self, lang: &str) -> Arc<Vec<String>> {
+        if let Some(cached) = self.phrases_cache.read().get(lang) {
+            return Arc::clone(cached);
+        }
+        
+        let result = Arc::new(self.resolve_localized(&self.phrases, lang));
+        self.phrases_cache.write().insert(lang.to_string(), Arc::clone(&result));
+        
+        result
+    }
+
+    // get all phrases (for backwards compat)
+    pub fn get_all_phrases(&self) -> Vec<String> {
+        self.phrases.values().flatten().cloned().collect()
+    }
+
+    // get sounds for current language
+    pub fn get_sounds(&self, lang: &str) -> Arc<Vec<String>> {
+        if let Some(cached) = self.sounds_cache.read().get(lang) {
+            return Arc::clone(cached);
+        }
+        
+        let result = Arc::new(self.resolve_localized(&self.sounds, lang));
+        self.sounds_cache.write().insert(lang.to_string(), Arc::clone(&result));
+        
+        result
+    }
+
+    // get all sounds (for backwards compat)
+    pub fn get_all_sounds(&self) -> Vec<String> {
+        self.sounds.values().flatten().cloned().collect()
+    }
+
+
+    // shared fallback
+    fn resolve_localized(&self, map: &HashMap<String, Vec<String>>, lang: &str) -> Vec<String> {
+        // exact match
+        if let Some(values) = map.get(lang) {
+            return values.clone();
+        }
+
+        // fallback to "en"
+        if lang != "en" {
+            if let Some(values) = map.get("en") {
+                return values.clone();
+            }
+        }
+
+        // fallback to first available
+        map.values().next().cloned().unwrap_or_default()
+    }
+}
+
+#[derive(Serialize, Deserialize, Debug, Clone)]
+pub struct SlotDefinition {
+    // Entity label for GLiNER (e.g. "city name", "song title", "number")
+    // This is a free-form description - GLiNER matches it semantically
+    #[serde(default)]
+    pub entity: String,
+
+    // Optional: fallback context words for template-based extraction
+    // e.g. ["in", "for", "at"] for a city slot
+    #[serde(default)]
+    pub context: Vec<String>,
+}
+
+// Extracted slot value passed to commands
+#[derive(Debug, Clone, Serialize)]
+#[serde(untagged)]
+pub enum SlotValue {
+    Text(String),
+    Number(f64),
+}
--- a/crates/jarvis-core/src/config.rs
+++ b/crates/jarvis-core/src/config.rs
@ -0,0 +1,259 @@
+pub mod structs;
+use structs::AudioType;
+use structs::RecorderType;
+use structs::SpeechToTextEngine;
+use structs::WakeWordEngine;
+
+use once_cell::sync::Lazy;
+use std::env;
+use std::fs;
+use std::path::PathBuf;
+
+use platform_dirs::AppDirs;
+
+#[cfg(feature="jarvis_app")]
+use rustpotter::{
+    AudioFmt, BandPassConfig, DetectorConfig, FiltersConfig, GainNormalizationConfig,
+    RustpotterConfig, ScoreMode,
+};
+
+use crate::config::structs::NoiseSuppressionBackend;
+use crate::{APP_CONFIG_DIR, APP_DIRS, APP_LOG_DIR};
+
+#[allow(dead_code)]
+pub fn init_dirs() -> Result<(), String> {
+    // infer app dirs
+    if APP_DIRS.get().is_some() {
+        return Ok(());
+    }
+
+    // cache_dir, config_dir, data_dir, state_dir
+    APP_DIRS
+        .set(AppDirs::new(Some(BUNDLE_IDENTIFIER), false).unwrap())
+        .unwrap();
+
+    // setup directories
+    let mut config_dir = PathBuf::from(&APP_DIRS.get().unwrap().config_dir);
+    let mut log_dir = PathBuf::from(&APP_DIRS.get().unwrap().config_dir);
+
+    // create dirs, if required
+    if !config_dir.exists() {
+        if fs::create_dir_all(&config_dir).is_err() {
+            config_dir = env::current_dir().expect("Cannot infer the config directory");
+            fs::create_dir_all(&config_dir)
+                .expect("Cannot create config directory, access denied?");
+        }
+    }
+
+    if !log_dir.exists() {
+        if fs::create_dir_all(&log_dir).is_err() {
+            log_dir = env::current_dir().expect("Cannot infer the log directory");
+            fs::create_dir_all(&log_dir).expect("Cannot create log directory, access denied?");
+        }
+    }
+
+    // store inferred paths
+    APP_CONFIG_DIR.set(config_dir).unwrap();
+    APP_LOG_DIR.set(log_dir).unwrap();
+
+    Ok(())
+}
+
+/*
+   Defaults.
+*/
+pub const DEFAULT_AUDIO_TYPE: AudioType = AudioType::Kira;
+pub const DEFAULT_RECORDER_TYPE: RecorderType = RecorderType::PvRecorder;
+pub const DEFAULT_WAKE_WORD_ENGINE: WakeWordEngine = WakeWordEngine::Vosk;
+pub const DEFAULT_SPEECH_TO_TEXT_ENGINE: SpeechToTextEngine = SpeechToTextEngine::Vosk;
+
+// backend defaults (string IDs)
+pub const DEFAULT_INTENT_BACKEND: &str = "intent-classifier";
+pub const DEFAULT_SLOTS_BACKEND: &str = "none";
+pub const DEFAULT_VAD_BACKEND: &str = "energy";
+
+pub const DEFAULT_VOICE: &str = "jarvis-remaster";
+pub const SOUND_PATH: &str = "resources/sound"; // extended from SOUND_DIR (resources/sound)
+pub const VOICES_PATH: &str = "voices"; // extended from SOUND_PATH (resources/sound)
+
+pub const BUNDLE_IDENTIFIER: &str = "com.priler.jarvis";
+pub const DB_FILE_NAME: &str = "app.db";
+pub const LOG_FILE_NAME: &str = "log.txt";
+pub const APP_VERSION: Option<&str> = option_env!("CARGO_PKG_VERSION");
+pub const AUTHOR_NAME: Option<&str> = option_env!("CARGO_PKG_AUTHORS");
+pub const REPOSITORY_LINK: Option<&str> = option_env!("CARGO_PKG_REPOSITORY");
+pub const TG_OFFICIAL_LINK: Option<&str> = Some("https://t.me/howdyho_official");
+pub const FEEDBACK_LINK: Option<&str> = Some("https://t.me/jarvis_feedback_bot");
+pub const SUPPORT_BOOSTY_LINK: Option<&str> = Some("https://boosty.to/howdyho");
+pub const SUPPORT_PATREON_LINK: Option<&str> = Some("https://www.patreon.com/c/priler");
+
+/*
+   Tray.
+*/
+pub const TRAY_ICON: &str = "32x32.png";
+pub const TRAY_TOOLTIP: &str = "Jarvis Voice Assistant";
+
+// RUSPOTTER
+pub const RUSPOTTER_MIN_SCORE: f32 = 0.62;
+
+#[cfg(feature="jarvis_app")]
+pub const RUSTPOTTER_DEFAULT_CONFIG: Lazy<RustpotterConfig> = Lazy::new(|| {
+    RustpotterConfig {
+        fmt: AudioFmt::default(),
+        detector: DetectorConfig {
+            avg_threshold: 0.,
+            threshold: 0.5,
+            min_scores: 15,
+            score_ref: 0.22,
+            band_size: 5,
+            vad_mode: None,
+            score_mode: ScoreMode::Max,
+            eager: false,
+            // comparator_band_size: 5,
+            // comparator_ref: 0.22
+        },
+        filters: FiltersConfig {
+            gain_normalizer: GainNormalizationConfig {
+                // enabled: true,
+                // gain_ref: None,
+                // min_gain: 0.7,
+                // max_gain: 1.0,
+                enabled: false, // disable, now we have separate gain normalizer implementation
+                gain_ref: None,
+                min_gain: 0.7,
+                max_gain: 1.0,
+            },
+            band_pass: BandPassConfig {
+                enabled: true,
+                low_cutoff: 80.,
+                high_cutoff: 400.,
+            },
+        },
+    }
+});
+
+// PICOVOICE
+pub const COMMANDS_PATH: &str = "resources/commands/";
+pub const KEYWORDS_PATH: &str = "resources/picovoice/keywords/";
+pub const DEFAULT_KEYWORD: &str = "jarvis_windows.ppn";
+pub const DEFAULT_SENSITIVITY: f32 = 1.0;
+
+// VOSK
+// pub const VOSK_MODEL_PATH: &str = const_concat!(PUBLIC_PATH, "/vosk/model_small");
+pub const VOSK_MODELS_PATH: &str = "resources/vosk";
+pub const VOSK_MODEL_PATH: &str = "resources/vosk/model_small";
+pub const VOSK_FETCH_PHRASE: &str = "джарвис";
+pub const VOSK_MIN_RATIO: f64 = 70.0;
+
+// 0.7 lenient, expect false positives
+// 0.8 balanced
+// 0.9 strict
+// etc
+pub const VOSK_WAKE_CONFIDENCE: f32 = 0.9;
+
+pub const VOSK_SPEECH_RECOGNIZER_MAX_ALTERNATIVES: u16 = 3;
+pub const VOSK_SPEECH_RECOGNIZER_WORDS: bool = false;
+pub const VOSK_SPEECH_PARTIAL_WORDS: bool = false;
+
+// IRE (intents recognition)
+pub const INTENT_CLASSIFIER_MIN_CONFIDENCE: f64 = 0.75;
+
+
+// embedding classifier
+pub const EMBEDDING_MIN_CONFIDENCE: f64 = 0.70;
+
+// AUDIO PROCESSING DEFAULTS
+pub const DEFAULT_NOISE_SUPPRESSION: NoiseSuppressionBackend = NoiseSuppressionBackend::None;
+pub const DEFAULT_GAIN_NORMALIZER: bool = false;
+
+// VAD settings
+pub const VAD_ENERGY_THRESHOLD: f32 = 100.0;  // RMS threshold for energy-based VAD
+pub const VAD_NNNOISELESS_THRESHOLD: f32 = 0.8;  // probability threshold for nnnoiseless
+pub const VAD_SILENCE_FRAMES: u32 = 15;  // frames of silence before speech end (~480ms)
+
+// gain normalizer settings
+pub const GAIN_TARGET_RMS: f32 = 3000.0;  // target RMS level
+pub const GAIN_MIN: f32 = 0.5;  // minimum gain multiplier
+pub const GAIN_MAX: f32 = 3.0;  // maximum gain multiplier
+
+// nnnoiseless frame size (fixed by library)
+pub const NNNOISELESS_FRAME_SIZE: usize = 480;
+
+// LUA
+pub const DEFAULT_LUA_SANDBOX: &str = "standard";
+pub const DEFAULT_LUA_TIMEOUT: u64 = 10000; // ms
+
+// ETC
+pub const CMD_RATIO_THRESHOLD: f64 = 75f64;
+pub const CMS_WAIT_DELAY: std::time::Duration = std::time::Duration::from_secs(15);
+
+// pub const ASSISTANT_GREET_PHRASES: [&str; 3] = ["greet1", "greet2", "greet3"];
+// pub const ASSISTANT_PHRASES_TBR: [&str; 17] = [
+//     "джарвис",
+//     "сэр",
+//     "слушаю сэр",
+//     "всегда к услугам",
+//     "произнеси",
+//     "ответь",
+//     "покажи",
+//     "скажи",
+//     "давай",
+//     "да сэр",
+//     "к вашим услугам сэр",
+//     "всегда к вашим услугам сэр",
+//     "запрос выполнен сэр",
+//     "выполнен сэр",
+//     "есть",
+//     "загружаю сэр",
+//     "очень тонкое замечание сэр",
+// ];
+
+
+
+pub fn get_wake_phrases(lang: &str) -> &'static [&'static str] {
+    match lang {
+        "ru" => &["джарвис", "джервис", "гарвис", "джарви", "гарви"],
+        "ua" => &["джарвіс", "джервіс"],
+        "en" => &["jarvis", "jervis"],
+        _ => &["jarvis"],
+    }
+}
+
+pub fn get_phrases_to_remove(lang: &str) -> &'static [&'static str] {
+    match lang {
+        "ru" => &[
+            "джарвис", "джервис", "гарвис", "джарви", "гарви",
+            "сэр", "слушаю сэр", "всегда к услугам",
+            "произнеси", "ответь", "покажи", "скажи", "давай",
+            "да сэр", "к вашим услугам сэр", "загружаю сэр",
+        ],
+        "ua" => &[
+            "джарвіс", "джервіс", "сер", "слухаю сер", "завжди до послуг",
+            "скажи", "покажи", "відповідай", "давай",
+            "так сер", "до ваших послуг сер",
+        ],
+        "en" => &[
+            "jarvis", "jervis", "sir", "yes sir", "at your service",
+            "please", "say", "show", "tell", "hey",
+        ],
+        _ => &["jarvis"],
+    }
+}
+
+pub fn get_wake_grammar(lang: &str) -> &'static [&'static str] {
+    match lang {
+        "ru" => &[
+            "джарвис", "[unk]", "джон", "джони", "джей",
+            "джонстон", "привет", "давай",
+        ],
+        "ua" => &[
+            "джарвіс", "[unk]", "джон", "джоні", "джей",
+            "привіт", "давай",
+        ],
+        "en" => &[
+            "jarvis", "[unk]", "john", "johnny", "jay",
+            "hello", "hey", "hi",
+        ],
+        _ => &["jarvis", "[unk]"],
+    }
+}
--- a/crates/jarvis-core/src/config/structs.rs
+++ b/crates/jarvis-core/src/config/structs.rs
@ -0,0 +1,51 @@
+use std::fmt;
+use serde::{Deserialize, Serialize};
+
+#[derive(Clone, Copy, Serialize, Deserialize, Debug, PartialEq)]
+pub enum WakeWordEngine {
+    Rustpotter,
+    Vosk,
+    Porcupine,
+}
+
+#[derive(Clone, Copy, Serialize, Deserialize, Debug, PartialEq)]
+pub enum NoiseSuppressionBackend {
+    None,
+    Nnnoiseless,
+}
+
+#[derive(Serialize, Deserialize, Debug, Clone)]
+pub enum SpeechToTextEngine {
+    Vosk,
+}
+
+#[derive(PartialEq, Debug)]
+pub enum RecorderType {
+    Cpal,
+    PvRecorder,
+    PortAudio,
+}
+
+#[derive(PartialEq, Debug)]
+pub enum AudioType {
+    Rodio,
+    Kira,
+}
+
+impl fmt::Display for WakeWordEngine {
+    fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
+        write!(f, "{:?}", self)
+    }
+}
+
+impl fmt::Display for SpeechToTextEngine {
+    fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
+        write!(f, "{:?}", self)
+    }
+}
+
+impl fmt::Display for NoiseSuppressionBackend {
+    fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
+        write!(f, "{:?}", self)
+    }
+}
--- a/crates/jarvis-core/src/db.rs
+++ b/crates/jarvis-core/src/db.rs
@ -0,0 +1,59 @@
+pub mod structs;
+pub mod manager;
+
+use crate::{config, APP_CONFIG_DIR};
+
+use log::info;
+use std::fs::File;
+use std::io::BufReader;
+use std::path::PathBuf;
+
+pub use manager::SettingsManager;
+
+fn get_db_file_path() -> PathBuf {
+    PathBuf::from(format!(
+        "{}/{}",
+        APP_CONFIG_DIR.get().unwrap().display(),
+        config::DB_FILE_NAME
+    ))
+}
+
+pub fn init_settings() -> structs::Settings {
+    let db_file_path = get_db_file_path();
+
+    info!(
+        "Loading settings db file located at: {}",
+        db_file_path.display()
+    );
+
+    if db_file_path.exists() {
+        if let Ok(db_file) = File::open(&db_file_path) {
+            let reader = BufReader::new(db_file);
+            if let Ok(settings) = serde_json::from_reader(reader) {
+                info!("Settings loaded.");
+                return settings;
+            }
+        }
+    }
+
+    warn!("No settings file found or there was an error parsing it. Creating default struct.");
+    structs::Settings::default()
+}
+
+/// init settings and return a SettingsManager ready to use
+pub fn init() -> SettingsManager {
+    let settings = init_settings();
+    SettingsManager::new(settings)
+}
+
+pub fn save_settings(settings: &structs::Settings) -> Result<(), std::io::Error> {
+    let db_file_path = get_db_file_path();
+
+    std::fs::write(
+        &db_file_path,
+        serde_json::to_string_pretty(&settings).unwrap(),
+    )?;
+
+    info!("Settings saved to: {:#}", db_file_path.display());
+    Ok(())
+}
--- a/crates/jarvis-core/src/db/manager.rs
+++ b/crates/jarvis-core/src/db/manager.rs
@ -0,0 +1,87 @@
+use std::sync::Arc;
+use parking_lot::RwLock;
+
+use super::structs::Settings;
+use super::save_settings;
+
+// centralized settings manager.
+// wraps Arc<RwLock<Settings>> and handles locking + auto-save
+// can be used anywhere, ex. from GUI, tray, IPC, CLI, etc.
+#[derive(Clone)]
+pub struct SettingsManager {
+    inner: Arc<RwLock<Settings>>,
+}
+
+impl SettingsManager {
+    pub fn new(settings: Settings) -> Self {
+        Self {
+            inner: Arc::new(RwLock::new(settings)),
+        }
+    }
+
+    // wrap an existing Arc<RwLock<Settings>>
+    pub fn from_arc(arc: Arc<RwLock<Settings>>) -> Self {
+        Self { inner: arc }
+    }
+
+    // read a setting by key
+    pub fn read(&self, key: &str) -> Option<String> {
+        self.inner.read().get(key)
+    }
+
+    // write a setting by key, auto-saves to disk
+    pub fn write(&self, key: &str, val: &str) -> Result<(), String> {
+        let snapshot = {
+            let mut settings = self.inner.write();
+            settings.set(key, val)?;
+            settings.clone()
+        };
+
+        save_settings(&snapshot)
+            .map_err(|e| format!("failed to save settings: {}", e))?;
+
+        Ok(())
+    }
+
+    // write multiple settings at once, single save
+    pub fn write_many(&self, pairs: &[(&str, &str)]) -> Result<(), String> {
+        let snapshot = {
+            let mut settings = self.inner.write();
+            for (key, val) in pairs {
+                settings.set(key, val)?;
+            }
+            settings.clone()
+        };
+
+        save_settings(&snapshot)
+            .map_err(|e| format!("failed to save settings: {}", e))?;
+
+        Ok(())
+    }
+
+    // direct read access to the full Settings struct (for init code that
+    // needs to read multiple fields at once without key-based access)
+    pub fn lock(&self) -> parking_lot::RwLockReadGuard<'_, Settings> {
+        self.inner.read()
+    }
+
+    // direct write access (for bulk operations not covered by set())
+    pub fn lock_mut(&self) -> parking_lot::RwLockWriteGuard<'_, Settings> {
+        self.inner.write()
+    }
+
+    // get the underlying Arc
+    pub fn arc(&self) -> &Arc<RwLock<Settings>> {
+        &self.inner
+    }
+
+    // dump all settings as key-value pairs (for debugging)
+    pub fn dump(&self) -> Vec<(String, String)> {
+        let settings = self.inner.read();
+        Settings::keys().iter()
+            .filter_map(|&key| {
+                settings.get(key).map(|val| (key.to_string(), val))
+            })
+            .collect()
+    }
+}
--- a/crates/jarvis-core/src/db/structs.rs
+++ b/crates/jarvis-core/src/db/structs.rs
@ -0,0 +1,184 @@
+use crate::config;
+use serde::{Deserialize, Serialize};
+
+use crate::config::structs::SpeechToTextEngine;
+use crate::config::structs::WakeWordEngine;
+use crate::config::structs::NoiseSuppressionBackend;
+
+#[derive(Serialize, Deserialize, Debug, Clone)]
+pub struct Settings {
+    pub microphone: i32,
+    pub voice: String,
+
+    pub wake_word_engine: WakeWordEngine,
+
+    // backend selections (string IDs matching model or code backend IDs)
+    #[serde(default = "default_intent_backend")]
+    pub intent_backend: String,
+    #[serde(default = "default_slots_backend")]
+    pub slots_backend: String,
+    #[serde(default = "default_vad_backend")]
+    pub vad_backend: String,
+
+    pub gliner_model: String,
+
+    pub speech_to_text_engine: SpeechToTextEngine,
+    pub vosk_model: String,
+
+    // audio processing
+    pub noise_suppression: NoiseSuppressionBackend,
+    pub gain_normalizer: bool,
+
+    #[serde(default = "default_language")]
+    pub language: String,
+
+    pub api_keys: ApiKeys,
+}
+
+fn default_intent_backend() -> String { config::DEFAULT_INTENT_BACKEND.to_string() }
+fn default_slots_backend() -> String { config::DEFAULT_SLOTS_BACKEND.to_string() }
+fn default_vad_backend() -> String { config::DEFAULT_VAD_BACKEND.to_string() }
+fn default_language() -> String { crate::i18n::detect_system_language().to_string() }
+
+// ### KEY-VALUE ACCESS
+
+impl Settings {
+    /// read a setting by key. returns None for unknown keys.
+    pub fn get(&self, key: &str) -> Option<String> {
+        match key {
+            "selected_microphone"       => Some(self.microphone.to_string()),
+            "assistant_voice"           => Some(self.voice.clone()),
+            "selected_wake_word_engine" => Some(format!("{:?}", self.wake_word_engine)),
+            "intent_backend"            => Some(self.intent_backend.clone()),
+            "slots_backend"             => Some(self.slots_backend.clone()),
+            "vad_backend"               => Some(self.vad_backend.clone()),
+            "selected_gliner_model"     => Some(self.gliner_model.clone()),
+            "selected_vosk_model"       => Some(self.vosk_model.clone()),
+            "speech_to_text_engine"     => Some(format!("{:?}", self.speech_to_text_engine)),
+            "noise_suppression"         => Some(format!("{:?}", self.noise_suppression)),
+            "gain_normalizer"           => Some(self.gain_normalizer.to_string()),
+            "language"                  => Some(self.language.clone()),
+            "api_key__picovoice"        => Some(self.api_keys.picovoice.clone()),
+            "api_key__openai"           => Some(self.api_keys.openai.clone()),
+            _ => None,
+        }
+    }
+
+    /// write a setting by key. returns Err for unknown keys or invalid values.
+    pub fn set(&mut self, key: &str, val: &str) -> Result<(), String> {
+        match key {
+            "selected_microphone" => {
+                self.microphone = val.parse::<i32>()
+                    .map_err(|_| format!("invalid integer: '{}'", val))?;
+            }
+            "assistant_voice" => {
+                self.voice = val.to_string();
+            }
+            "selected_wake_word_engine" => {
+                self.wake_word_engine = match val.to_lowercase().as_str() {
+                    "rustpotter" => WakeWordEngine::Rustpotter,
+                    "vosk"       => WakeWordEngine::Vosk,
+                    "porcupine"  => WakeWordEngine::Porcupine,
+                    _ => return Err(format!("unknown wake word engine: '{}'", val)),
+                };
+            }
+            "intent_backend" => {
+                self.intent_backend = val.to_string();
+            }
+            "slots_backend" => {
+                self.slots_backend = val.to_string();
+            }
+            "vad_backend" => {
+                self.vad_backend = val.to_string();
+            }
+            "selected_gliner_model" => {
+                self.gliner_model = val.to_string();
+            }
+            "selected_vosk_model" => {
+                self.vosk_model = val.to_string();
+            }
+            "noise_suppression" => {
+                self.noise_suppression = match val.to_lowercase().as_str() {
+                    "none"        => NoiseSuppressionBackend::None,
+                    "nnnoiseless" => NoiseSuppressionBackend::Nnnoiseless,
+                    _ => return Err(format!("unknown noise suppression backend: '{}'", val)),
+                };
+            }
+            "gain_normalizer" => {
+                self.gain_normalizer = match val.to_lowercase().as_str() {
+                    "true"  => true,
+                    "false" => false,
+                    _ => return Err(format!("expected 'true' or 'false', got: '{}'", val)),
+                };
+            }
+            "language" => {
+                self.language = val.to_string();
+            }
+            "api_key__picovoice" => {
+                self.api_keys.picovoice = val.to_string();
+            }
+            "api_key__openai" => {
+                self.api_keys.openai = val.to_string();
+            }
+            _ => return Err(format!("unknown setting: '{}'", key)),
+        }
+        Ok(())
+    }
+
+    /// all valid setting keys (for enumeration, debugging, etc.)
+    pub fn keys() -> &'static [&'static str] {
+        &[
+            "selected_microphone",
+            "assistant_voice",
+            "selected_wake_word_engine",
+            "intent_backend",
+            "slots_backend",
+            "vad_backend",
+            "selected_gliner_model",
+            "selected_vosk_model",
+            "speech_to_text_engine",
+            "noise_suppression",
+            "gain_normalizer",
+            "language",
+            "api_key__picovoice",
+            "api_key__openai",
+        ]
+    }
+}
+
+// ### DEFAULT
+
+impl Default for Settings {
+    fn default() -> Settings {
+        Settings {
+            microphone: -1,
+            voice: String::from(""),
+
+            wake_word_engine: config::DEFAULT_WAKE_WORD_ENGINE,
+
+            intent_backend: config::DEFAULT_INTENT_BACKEND.to_string(),
+            slots_backend: config::DEFAULT_SLOTS_BACKEND.to_string(),
+            vad_backend: config::DEFAULT_VAD_BACKEND.to_string(),
+
+            gliner_model: String::new(),
+            speech_to_text_engine: config::DEFAULT_SPEECH_TO_TEXT_ENGINE,
+            vosk_model: String::from(""),
+
+            noise_suppression: config::DEFAULT_NOISE_SUPPRESSION,
+            gain_normalizer: config::DEFAULT_GAIN_NORMALIZER,
+
+            language: crate::i18n::detect_system_language().to_string(),
+
+            api_keys: ApiKeys {
+                picovoice: String::from(""),
+                openai: String::from(""),
+            },
+        }
+    }
+}
+
+#[derive(Serialize, Deserialize, Debug, Clone)]
+pub struct ApiKeys {
+    pub picovoice: String,
+    pub openai: String,
+}
--- a/crates/jarvis-core/src/i18n.rs
+++ b/crates/jarvis-core/src/i18n.rs
@ -0,0 +1,202 @@
+use fluent_bundle::{FluentBundle, FluentResource, FluentArgs, FluentValue};
+use fluent_bundle::concurrent::FluentBundle as ConcurrentFluentBundle;
+use once_cell::sync::OnceCell;
+use parking_lot::RwLock;
+use std::collections::HashMap;
+use unic_langid::LanguageIdentifier;
+
+// locale files embedded at compile time
+const LOCALE_RU: &str = include_str!("i18n/locales/ru.ftl");
+const LOCALE_EN: &str = include_str!("i18n/locales/en.ftl");
+const LOCALE_UA: &str = include_str!("i18n/locales/ua.ftl");
+
+pub const SUPPORTED_LANGUAGES: &[&str] = &["ru", "en", "ua"];
+pub const DEFAULT_LANGUAGE: &str = "en";
+
+// detect the OS language and map it to a supported language.
+// falls back to DEFAULT_LANGUAGE if not supported.
+pub fn detect_system_language() -> &'static str {
+    if let Some(locale) = sys_locale::get_locale() {
+        // locale can be "en-US", "ru-RU", "uk-UA", etc.
+        let lang_code = locale.split(&['-', '_'][..]).next().unwrap_or("");
+
+        // map OS locale codes to our supported languages
+        let mapped = match lang_code {
+            "uk" => "ua",  // ISO 639-1 "uk" (ukrainian) -> our "ua"
+            other => other,
+        };
+
+        if SUPPORTED_LANGUAGES.contains(&mapped) {
+            info!("Detected system language: {} (from locale '{}')", mapped, locale);
+            return SUPPORTED_LANGUAGES.iter()
+                .find(|&&l| l == mapped)
+                .unwrap();
+        }
+
+        info!("System locale '{}' not supported, using default '{}'", locale, DEFAULT_LANGUAGE);
+    }
+
+    DEFAULT_LANGUAGE
+}
+
+// use concurrent bundle (thread-safe)
+type Bundle = ConcurrentFluentBundle<FluentResource>;
+
+static BUNDLES: OnceCell<HashMap<String, Bundle>> = OnceCell::new();
+static CURRENT_LANG: OnceCell<RwLock<String>> = OnceCell::new();
+
+// Initialize i18n system
+pub fn init(lang: &str) {
+    let bundles = create_bundles();
+    BUNDLES.set(bundles).ok();
+    
+    let lang = if SUPPORTED_LANGUAGES.contains(&lang) { lang } else { DEFAULT_LANGUAGE };
+    CURRENT_LANG.set(RwLock::new(lang.to_string())).ok();
+    
+    info!("i18n initialized with language: {}", lang);
+}
+
+fn create_bundles() -> HashMap<String, Bundle> {
+    let mut bundles = HashMap::new();
+    
+    bundles.insert("ru".to_string(), create_bundle("ru", LOCALE_RU));
+    bundles.insert("en".to_string(), create_bundle("en", LOCALE_EN));
+    bundles.insert("ua".to_string(), create_bundle("ua", LOCALE_UA));
+    
+    bundles
+}
+
+fn create_bundle(lang: &str, source: &str) -> Bundle {
+    let langid: LanguageIdentifier = lang.parse().expect("Invalid language identifier");
+    let mut bundle = ConcurrentFluentBundle::new_concurrent(vec![langid]);
+    
+    let resource = FluentResource::try_new(source.to_string())
+        .expect("Failed to parse FTL resource");
+    
+    bundle.add_resource(resource).expect("Failed to add resource");
+    bundle
+}
+
+// Set current language
+pub fn set_language(lang: &str) {
+    if let Some(current) = CURRENT_LANG.get() {
+        let lang = if SUPPORTED_LANGUAGES.contains(&lang) { lang } else { DEFAULT_LANGUAGE };
+        *current.write() = lang.to_string();
+        info!("Language changed to: {}", lang);
+    }
+}
+
+// Get current language
+pub fn get_language() -> String {
+    CURRENT_LANG.get()
+        .map(|l| l.read().clone())
+        .unwrap_or_else(|| DEFAULT_LANGUAGE.to_string())
+}
+
+// Translate a key
+pub fn t(key: &str) -> String {
+    t_with_args(key, None)
+}
+
+// Translate a key with arguments
+pub fn t_with_args(key: &str, args: Option<&FluentArgs>) -> String {
+    let lang = get_language();
+    
+    let bundles = match BUNDLES.get() {
+        Some(b) => b,
+        None => return key.to_string(),
+    };
+    
+    let bundle = match bundles.get(&lang) {
+        Some(b) => b,
+        None => bundles.get(DEFAULT_LANGUAGE).unwrap(),
+    };
+    
+    let msg = match bundle.get_message(key) {
+        Some(m) => m,
+        None => return key.to_string(),
+    };
+    
+    let pattern = match msg.value() {
+        Some(p) => p,
+        None => return key.to_string(),
+    };
+    
+    let mut errors = vec![];
+    let result = bundle.format_pattern(pattern, args, &mut errors);
+    
+    if !errors.is_empty() {
+        warn!("i18n errors for key '{}': {:?}", key, errors);
+    }
+    
+    result.to_string()
+}
+
+// Translate with a single argument
+pub fn t_arg(key: &str, arg_name: &str, arg_value: &str) -> String {
+    let mut args = FluentArgs::new();
+    args.set(arg_name, FluentValue::from(arg_value));
+    t_with_args(key, Some(&args))
+}
+
+// Translate with numeric argument
+pub fn t_count(key: &str, count: i64) -> String {
+    let mut args = FluentArgs::new();
+    args.set("count", FluentValue::from(count));
+    t_with_args(key, Some(&args))
+}
+
+// Get all translations for current language (for frontend)
+pub fn get_all_translations() -> HashMap<String, String> {
+    let lang = get_language();
+    get_translations_for(&lang)
+}
+
+// Get all translations for a specific language
+pub fn get_translations_for(lang: &str) -> HashMap<String, String> {
+    let mut result = HashMap::new();
+    
+    let bundles = match BUNDLES.get() {
+        Some(b) => b,
+        None => return result,
+    };
+    
+    let bundle = match bundles.get(lang) {
+        Some(b) => b,
+        None => match bundles.get(DEFAULT_LANGUAGE) {
+            Some(b) => b,
+            None => return result,
+        },
+    };
+
+    // get source for this language and extract all keys
+    let source = match lang {
+        "ru" => LOCALE_RU,
+        "en" => LOCALE_EN,
+        "ua" => LOCALE_UA,
+        _ => LOCALE_RU,
+    };
+
+    // parse keys from FTL source (lines that have "=" and don't start with "#" or "-")
+    for line in source.lines() {
+        let line = line.trim();
+        if line.is_empty() || line.starts_with('#') || line.starts_with('-') {
+            continue;
+        }
+        
+        if let Some(key) = line.split('=').next() {
+            let key = key.trim();
+            if !key.is_empty() && !key.contains(' ') {
+                if let Some(msg) = bundle.get_message(key) {
+                    if let Some(pattern) = msg.value() {
+                        let mut errors = vec![];
+                        let value = bundle.format_pattern(pattern, None, &mut errors);
+                        result.insert(key.to_string(), value.to_string());
+                    }
+                }
+            }
+        }
+    }
+    
+    result
+}
--- a/crates/jarvis-core/src/i18n/locales/en.ftl
+++ b/crates/jarvis-core/src/i18n/locales/en.ftl
@ -0,0 +1,143 @@
+# ### APP INFO
+app-name = JARVIS
+app-description = Voice Assistant
+
+# ### TRAY MENU
+tray-restart = Restart
+tray-settings = Settings
+tray-exit = Exit
+tray-tooltip = JARVIS - Voice Assistant
+tray-language = Language
+tray-voice = Voice
+tray-wake-word = Wake Word Engine
+tray-noise-suppression = Noise Suppression
+tray-vad = Voice Activity Detection
+tray-gain-normalizer = Gain Normalizer
+
+# ### HEADER
+header-commands = COMMANDS
+header-settings = SETTINGS
+
+# ### SEARCH
+search-placeholder = Enter a command manually or say «Jarvis» ...
+
+# ### MAIN PAGE
+assistant-not-running = ASSISTANT NOT RUNNING
+assistant-offline-hint = You can configure it without starting.
+btn-start = START
+btn-starting = STARTING...
+
+# ### STATUS
+status-disconnected = Disconnected
+status-standby = Standby
+status-listening = Listening...
+status-processing = Processing...
+
+# ### STATS
+stats-microphone = MICROPHONE
+stats-neural-networks = NEURAL NETWORKS
+stats-resources = RESOURCES
+stats-system-default = System Default
+stats-not-selected = Not selected
+stats-loading = Loading...
+
+# ### FOOTER
+footer-author = Project author
+footer-telegram = Our Telegram channel
+footer-github = Github repository
+footer-support = Support the project on
+
+# ### SETTINGS
+settings-title = Settings
+settings-general = General
+settings-devices = Devices
+settings-neural-networks = Neural Networks
+settings-audio = Audio
+settings-recognition = Recognition
+settings-about = About
+settings-language = Language
+settings-microphone = Microphone
+settings-microphone-desc = The assistant will listen to this microphone.
+settings-mic-default = Default (System)
+settings-voice = Assistant voice
+settings-voice-desc =
+    Not all commands work with all sound packs.
+    Click to listen the preview of sound.
+settings-wake-word-engine = Wake word engine
+settings-wake-word-desc = Choose the engine for wake word recognition.
+settings-stt-engine = Speech recognition
+settings-intent-engine = Intent recognition
+settings-intent-engine-desc = Select neural network for command recognition.
+settings-noise-suppression = Noise suppression
+settings-noise-suppression-desc = Reduces background noise. May negatively affect recognition.
+settings-vad = Voice detection (VAD)
+settings-vad-desc = Skips silence, saves CPU resources.
+settings-gain-normalizer = Gain normalizer
+settings-gain-normalizer-desc = Automatically adjusts volume level.
+settings-api-keys = API Keys
+settings-save = Save
+settings-cancel = Cancel
+settings-back = Back
+settings-enabled = Enabled
+settings-disabled = Disabled
+
+# settings - beta notice
+settings-beta-title = BETA version!
+settings-beta-desc = Some features may not work correctly.
+settings-beta-feedback = Report all bugs to
+settings-beta-bot = our Telegram bot
+settings-open-logs = Open logs folder
+
+# settings - picovoice
+settings-attention = Attention!
+settings-picovoice-warning = This neural network doesn't work for everyone!
+settings-picovoice-waiting = We are waiting for an official patch from the developers.
+settings-picovoice-key-desc = Enter your Picovoice key here. It is issued for free upon registration at
+settings-picovoice-key = Picovoice Key
+
+# settings - vosk
+settings-auto-detect = Auto-detect
+settings-vosk-model = Speech recognition model (Vosk)
+settings-vosk-model-desc =
+    Select Vosk model for speech recognition.
+    You can download models here: https://alphacephei.com/vosk/models
+settings-models-not-found = Models not found
+settings-models-hint = Place Vosk models in resources/vosk folder
+
+# settings - openai
+settings-openai-key = OpenAI Key
+settings-openai-not-supported = ChatGPT is not currently supported. It will be added in future updates.
+
+# ### COMMANDS PAGE
+commands-title = Commands
+commands-search = Search commands...
+commands-count = { $count } commands
+commands-wip-title = [404] This section is under development!
+commands-wip-desc = Here will be a list of commands + full-featured command editor.
+commands-wip-follow = Follow updates in
+commands-wip-channel = our Telegram channel
+
+# ### ERRORS
+error-generic = An error occurred
+error-connection = Connection error
+error-not-found = Not found
+
+# ### NOTIFICATIONS
+notification-saved = Settings saved!
+notification-error = Error
+notification-assistant-started = Assistant started
+notification-assistant-stopped = Assistant stopped
+
+# SLOTS EXTRACTION
+settings-slot-engine = Slot extraction
+settings-slot-engine-desc = Extract parameters from voice commands (e.g. city name, number).
+settings-gliner-model = GLiNER ONNX model
+settings-gliner-model-desc =
+    Select model variant.
+    Smaller quantized models (int8, uint8) are faster but less accurate.
+settings-gliner-models-hint = No GLiNER models found.
+
+# ETC
+search-error-not-running = Assistant is not running
+search-error-failed = Failed to execute command
+settings-no-voices = No voices found
--- a/crates/jarvis-core/src/i18n/locales/ru.ftl
+++ b/crates/jarvis-core/src/i18n/locales/ru.ftl
@ -0,0 +1,143 @@
+# APP INFO
+app-name = JARVIS
+app-description = Голосовой ассистент
+
+# TRAY MENU
+tray-restart = Перезапустить
+tray-settings = Настройки
+tray-exit = Выход
+tray-tooltip = JARVIS - Голосовой ассистент
+tray-language = Язык
+tray-voice = Голос
+tray-wake-word = Движок wake-word
+tray-noise-suppression = Шумоподавление
+tray-vad = Детекция голоса (VAD)
+tray-gain-normalizer = Нормализация громкости
+
+# HEADER
+header-commands = КОМАНДЫ
+header-settings = НАСТРОЙКИ
+
+# SEARCH
+search-placeholder = Введите команду вручную или произнесите «Джарвис» ...
+
+# MAIN PAGE
+assistant-not-running = АССИСТЕНТ НЕ ЗАПУЩЕН
+assistant-offline-hint = Настроить его можно не запуская.
+btn-start = ЗАПУСТИТЬ
+btn-starting = ЗАПУСК...
+
+# STATUS
+status-disconnected = Отключен
+status-standby = Ожидание
+status-listening = Слушаю...
+status-processing = Обработка...
+
+# STATS
+stats-microphone = МИКРОФОН
+stats-neural-networks = НЕЙРОСЕТИ
+stats-resources = РЕСУРСЫ
+stats-system-default = Системный
+stats-not-selected = Не выбран
+stats-loading = Загрузка...
+
+# FOOTER
+footer-author = Автор проекта
+footer-telegram = Наш телеграм канал
+footer-github = Github репозиторий проекта
+footer-support = Поддержать проект на
+
+# SETTINGS
+settings-title = Настройки
+settings-general = Основные
+settings-devices = Устройства
+settings-neural-networks = Нейросети
+settings-audio = Аудио
+settings-recognition = Распознавание
+settings-about = О программе
+settings-language = Язык
+settings-microphone = Микрофон
+settings-microphone-desc = Его будет слушать ассистент.
+settings-mic-default = По умолчанию (Система)
+settings-voice = Голос ассистента
+settings-voice-desc =
+    Не все команды работают со всеми звуковыми пакетами.
+    Кликните, чтобы прослушать как звучит голос.
+settings-wake-word-engine = Движок активации
+settings-wake-word-desc = Выберите нейросеть для распознавания активационной фразы.
+settings-stt-engine = Распознавание речи
+settings-intent-engine = Определение намерения
+settings-intent-engine-desc = Выберите нейросеть для распознавания команд.
+settings-noise-suppression = Шумоподавление
+settings-noise-suppression-desc = Уменьшает фоновый шум. Может негативно влиять на распознавание.
+settings-vad = Определение голоса (VAD)
+settings-vad-desc = Пропускает тишину, экономит ресурсы CPU.
+settings-gain-normalizer = Нормализация громкости
+settings-gain-normalizer-desc = Автоматически регулирует уровень громкости.
+settings-api-keys = API Ключи
+settings-save = Сохранить
+settings-cancel = Отмена
+settings-back = Назад
+settings-enabled = Включено
+settings-disabled = Отключено
+
+# settings - beta notice
+settings-beta-title = БЕТА версия!
+settings-beta-desc = Часть функций может работать некорректно.
+settings-beta-feedback = Сообщайте обо всех найденных багах в
+settings-beta-bot = наш телеграм бот
+settings-open-logs = Открыть папку с логами
+
+# settings - picovoice
+settings-attention = Внимание!
+settings-picovoice-warning = Эта нейросеть работает не у всех!
+settings-picovoice-waiting = Мы ждем официального патча от разработчиков.
+settings-picovoice-key-desc = Введите сюда свой ключ Picovoice. Он выдается бесплатно при регистрации в
+settings-picovoice-key = Ключ Picovoice
+
+# settings - vosk
+settings-auto-detect = Авто-определение
+settings-vosk-model = Модель распознавания речи (Vosk)
+settings-vosk-model-desc =
+    Выберите модель Vosk для распознавания речи.
+    Вы можете скачать модели здесь: https://alphacephei.com/vosk/models
+settings-models-not-found = Модели не найдены
+settings-models-hint = Поместите модели Vosk в папку resources/vosk
+
+# settings - openai
+settings-openai-key = Ключ OpenAI
+settings-openai-not-supported = В данный момент ChatGPT не поддерживается. Он будет добавлен в ближайших обновлениях.
+
+# COMMANDS PAGE
+commands-title = Команды
+commands-search = Поиск команд...
+commands-count = { $count } команд
+commands-wip-title = [404] Этот раздел еще находится в разработке!
+commands-wip-desc = Тут будет список команд + полноценный редактор команд.
+commands-wip-follow = Следите за обновлениями в
+commands-wip-channel = нашем телеграм канале
+
+# ERRORS
+error-generic = Произошла ошибка
+error-connection = Ошибка подключения
+error-not-found = Не найдено
+
+# NOTIFICATIONS
+notification-saved = Настройки сохранены!
+notification-error = Ошибка
+notification-assistant-started = Ассистент запущен
+notification-assistant-stopped = Ассистент остановлен
+
+# SLOTS EXTRACTION
+settings-slot-engine = Извлечение параметров
+settings-slot-engine-desc = Извлекает параметры из голосовых команд (напр. название города, число).
+settings-gliner-model = Модель GLiNER ONNX
+settings-gliner-model-desc =
+    Выберите вариант модели.
+    Квантизированные модели (int8, uint8) быстрее, но менее точны.
+settings-gliner-models-hint = Модели GLiNER не найдены.
+
+# ETC
+search-error-not-running = Ассистент не запущен
+search-error-failed = Не удалось выполнить команду
+settings-no-voices = Голоса не найдены
--- a/crates/jarvis-core/src/i18n/locales/ua.ftl
+++ b/crates/jarvis-core/src/i18n/locales/ua.ftl
@ -0,0 +1,143 @@
+# ### APP INFO
+app-name = JARVIS
+app-description = Голосовий асистент
+
+# ### TRAY MENU
+tray-restart = Перезапустити
+tray-settings = Налаштування
+tray-exit = Вихід
+tray-tooltip = JARVIS - Голосовий асистент
+tray-language = Мова
+tray-voice = Голос
+tray-wake-word = Рушій детекції
+tray-noise-suppression = Шумозаглушення
+tray-vad = Детекцiя голосу (VAD)
+tray-gain-normalizer = Нормалізація гучності
+
+# ### HEADER
+header-commands = КОМАНДИ
+header-settings = НАЛАШТУВАННЯ
+
+# ### SEARCH
+search-placeholder = Введіть команду вручну або скажіть «Джарвіс» ...
+
+# ### MAIN PAGE
+assistant-not-running = АСИСТЕНТ НЕ ЗАПУЩЕНО
+assistant-offline-hint = Налаштувати його можна не запускаючи.
+btn-start = ЗАПУСТИТИ
+btn-starting = ЗАПУСК...
+
+# ### STATUS
+status-disconnected = Відключено
+status-standby = Очікування
+status-listening = Слухаю...
+status-processing = Обробка...
+
+# ### STATS
+stats-microphone = МІКРОФОН
+stats-neural-networks = НЕЙРОМЕРЕЖІ
+stats-resources = РЕСУРСИ
+stats-system-default = Системний
+stats-not-selected = Не вибрано
+stats-loading = Завантаження...
+
+# ### FOOTER
+footer-author = Автор проєкту
+footer-telegram = Наш телеграм канал
+footer-github = Github репозиторій проєкту
+footer-support = Підтримати проєкт на
+
+# ### SETTINGS
+settings-title = Налаштування
+settings-general = Основні
+settings-devices = Пристрої
+settings-neural-networks = Нейромережі
+settings-audio = Аудіо
+settings-recognition = Розпізнавання
+settings-about = Про програму
+settings-language = Мова
+settings-microphone = Мікрофон
+settings-microphone-desc = Його буде слухати асистент.
+settings-mic-default = За замовчуванням (Система)
+settings-voice = Голос асистента
+settings-voice-desc =
+    Не всі команди працюють з усіма звуковими пакетами.
+    Натисніть, щоб прослухати як звучить голос.
+settings-wake-word-engine = Рушій активації
+settings-wake-word-desc = Виберіть нейромережу для розпізнавання активаційної фрази.
+settings-stt-engine = Розпізнавання мовлення
+settings-intent-engine = Визначення наміру
+settings-intent-engine-desc = Виберіть нейромережу для розпізнавання команд.
+settings-noise-suppression = Шумозаглушення
+settings-noise-suppression-desc = Зменшує фоновий шум. Може негативно впливати на розпізнавання.
+settings-vad = Визначення голосу (VAD)
+settings-vad-desc = Пропускає тишу, економить ресурси CPU.
+settings-gain-normalizer = Нормалізація гучності
+settings-gain-normalizer-desc = Автоматично регулює рівень гучності.
+settings-api-keys = API Ключі
+settings-save = Зберегти
+settings-cancel = Скасувати
+settings-back = Назад
+settings-enabled = Увімкнено
+settings-disabled = Вимкнено
+
+# settings - beta notice
+settings-beta-title = БЕТА версія!
+settings-beta-desc = Частина функцій може працювати некоректно.
+settings-beta-feedback = Повідомляйте про всі знайдені баги в
+settings-beta-bot = наш телеграм бот
+settings-open-logs = Відкрити папку з логами
+
+# settings - picovoice
+settings-attention = Увага!
+settings-picovoice-warning = Ця нейромережа працює не у всіх!
+settings-picovoice-waiting = Ми чекаємо офіційного патча від розробників.
+settings-picovoice-key-desc = Введіть сюди свій ключ Picovoice. Він видається безкоштовно при реєстрації в
+settings-picovoice-key = Ключ Picovoice
+
+# settings - vosk
+settings-auto-detect = Авто-визначення
+settings-vosk-model = Модель розпізнавання мовлення (Vosk)
+settings-vosk-model-desc =
+    Виберіть модель Vosk для розпізнавання мовлення.
+    Ви можете завантажити моделі тут: https://alphacephei.com/vosk/models
+settings-models-not-found = Моделі не знайдено
+settings-models-hint = Помістіть моделі Vosk в папку resources/vosk
+
+# settings - openai
+settings-openai-key = Ключ OpenAI
+settings-openai-not-supported = Наразі ChatGPT не підтримується. Він буде доданий у наступних оновленнях.
+
+# ### COMMANDS PAGE
+commands-title = Команди
+commands-search = Пошук команд...
+commands-count = { $count } команд
+commands-wip-title = [404] Цей розділ ще в розробці!
+commands-wip-desc = Тут буде список команд + повноцінний редактор команд.
+commands-wip-follow = Слідкуйте за оновленнями в
+commands-wip-channel = нашому телеграм каналі
+
+# ### ERRORS
+error-generic = Сталася помилка
+error-connection = Помилка підключення
+error-not-found = Не знайдено
+
+# ### NOTIFICATIONS
+notification-saved = Налаштування збережено!
+notification-error = Помилка
+notification-assistant-started = Асистент запущено
+notification-assistant-stopped = Асистент зупинено
+
+# SLOTS EXTRACTION
+settings-slot-engine = Витяг параметрів
+settings-slot-engine-desc = Витягує параметри з голосових команд (напр. назва міста, число).
+settings-gliner-model = Модель GLiNER ONNX
+settings-gliner-model-desc = 
+    Оберіть варіант моделі.
+    Квантизовані моделі (int8, uint8) швидші, але менш точні.
+settings-gliner-models-hint = Моделі GLiNER не знайдено.
+
+# ETC
+search-error-not-running = Асистент не запущено
+search-error-failed = Не вдалося виконати команду
+settings-no-voices = Голоси не знайдено
--- a/crates/jarvis-core/src/intent.rs
+++ b/crates/jarvis-core/src/intent.rs
@ -0,0 +1,89 @@
+mod intentclassifier;
+mod embeddingclassifier;
+
+use std::path::PathBuf;
+
+use crate::{commands::{self, JCommandsList, JCommand}, config, models};
+use once_cell::sync::OnceCell;
+
+use crate::DB;
+
+static BACKEND: OnceCell<String> = OnceCell::new();
+
+pub async fn init(commands: &Vec<JCommandsList>) -> Result<(), String> {
+    if BACKEND.get().is_some() {
+        return Ok(());
+    }
+
+    let backend = DB.get().unwrap().read().intent_backend.clone();
+
+    BACKEND.set(backend.clone()).map_err(|_| "Backend already set")?;
+
+    match backend.as_str() {
+        "none" => {
+            info!("Intent recognition disabled");
+        }
+        "intent-classifier" => {
+            info!("Initializing IntentClassifier backend.");
+            intentclassifier::init(&commands).await?;
+            info!("IntentClassifier backend initialized.");
+        }
+        // any other value is treated as a model ID for embedding classification
+        model_id => {
+            info!("Initializing EmbeddingClassifier with model '{}'.", model_id);
+            let model = models::embedding::load(models::registry(), model_id)?;
+            embeddingclassifier::init_with_model(model, &commands)?;
+            info!("EmbeddingClassifier backend initialized.");
+        }
+    }
+
+    Ok(())
+}
+
+pub async fn classify(text: &str) -> Option<(String, f64)> {
+    match BACKEND.get()?.as_str() {
+        "none" => None,
+        "intent-classifier" => {
+            match intentclassifier::classify(text).await {
+                Ok(prediction) => {
+                    let confidence = prediction.confidence.value();
+                    if confidence >= config::INTENT_CLASSIFIER_MIN_CONFIDENCE {
+                        Some((prediction.intent.to_string(), confidence))
+                    } else {
+                        None
+                    }
+                }
+                Err(e) => {
+                    error!("Intent classification error: {}", e);
+                    None
+                }
+            }
+        }
+        _ => {
+            match embeddingclassifier::classify(text) {
+                Ok((intent_id, confidence)) => {
+                    if confidence >= config::EMBEDDING_MIN_CONFIDENCE {
+                        Some((intent_id, confidence))
+                    } else {
+                        None
+                    }
+                }
+                Err(e) => {
+                    error!("Embedding classification error: {}", e);
+                    None
+                }
+            }
+        }
+    }
+}
+
+// unified command lookup by intent ID - works for all backends
+pub fn get_command_by_intent<'a>(
+    commands: &'a [JCommandsList],
+    intent_id: &str,
+) -> Option<(&'a PathBuf, &'a JCommand)> {
+    if matches!(BACKEND.get().map(|s| s.as_str()), Some("none")) {
+        return None;
+    }
+    commands::get_command_by_id(commands, intent_id)
+}
--- a/crates/jarvis-core/src/intent/embeddingclassifier.rs
+++ b/crates/jarvis-core/src/intent/embeddingclassifier.rs
@ -0,0 +1,195 @@
+use std::path::PathBuf;
+use std::sync::Arc;
+use std::fs;
+
+use once_cell::sync::OnceCell;
+
+use crate::commands::JCommandsList;
+use crate::i18n;
+use crate::APP_CONFIG_DIR;
+use crate::models::embedding::EmbeddingModel;
+
+// no outer Mutex needed - state is immutable after init.
+// the embedding model has its own internal Mutex.
+static CLASSIFIER: OnceCell<EmbeddingClassifierState> = OnceCell::new();
+
+struct IntentVector {
+    id: String,
+    vector: Vec<f32>,
+}
+
+struct EmbeddingClassifierState {
+    model: Arc<EmbeddingModel>,
+    intents: Vec<IntentVector>,
+}
+
+// model is Arc (Send+Sync), intents are read-only after init
+unsafe impl Send for EmbeddingClassifierState {}
+unsafe impl Sync for EmbeddingClassifierState {}
+
+const CACHE_FILE: &str = "embedding_intents.json";
+const HASH_FILE: &str = "embedding_hash.txt";
+
+// init with a model loaded through the registry
+pub fn init_with_model(model: Arc<EmbeddingModel>, commands: &[JCommandsList]) -> Result<(), String> {
+    if CLASSIFIER.get().is_some() {
+        return Ok(());
+    }
+
+    info!("Initializing embedding classifier...");
+
+    let current_hash = crate::commands::commands_hash(commands);
+    let config_dir = APP_CONFIG_DIR.get().ok_or("Config dir not set")?;
+    let hash_path = config_dir.join(HASH_FILE);
+    let cache_path = config_dir.join(CACHE_FILE);
+
+    // check if cached vectors are still valid
+    let should_retrain = if hash_path.exists() && cache_path.exists() {
+        let stored_hash = fs::read_to_string(&hash_path).unwrap_or_default();
+        stored_hash.trim() != current_hash
+    } else {
+        true
+    };
+
+    let intents = if should_retrain {
+        info!("Building intent vectors from commands...");
+        let intents = build_intent_vectors(&model, commands)?;
+        
+        // cache to disk
+        if let Ok(json) = serde_json::to_string(&intents_to_cache(&intents)) {
+            let _ = fs::write(&cache_path, json);
+            let _ = fs::write(&hash_path, &current_hash);
+            info!("Intent vectors cached");
+        }
+        
+        intents
+    } else {
+        info!("Loading cached intent vectors...");
+        load_cached_intents(&cache_path)?
+    };
+
+    info!("Embedding classifier ready with {} intents", intents.len());
+
+    CLASSIFIER.set(EmbeddingClassifierState { model, intents })
+        .map_err(|_| "Classifier already set".to_string())?;
+
+    Ok(())
+}
+
+fn build_intent_vectors(
+    model: &EmbeddingModel,
+    commands: &[JCommandsList],
+) -> Result<Vec<IntentVector>, String> {
+    let lang = i18n::get_language();
+    let mut intents = Vec::new();
+
+    for cmd_list in commands {
+        for cmd in &cmd_list.commands {
+            let phrases = cmd.get_phrases(&lang);
+            if phrases.is_empty() {
+                continue;
+            }
+
+            let texts: Vec<&str> = phrases.iter().map(|s| s.as_str()).collect();
+            
+            let embeddings = model.embedding.lock().embed(texts, None)
+                .map_err(|e| format!("Embedding failed for '{}': {}", cmd.id, e))?;
+
+            // average all phrase vectors into one intent vector
+            let dim = embeddings[0].len();
+            let mut avg = vec![0.0f32; dim];
+            
+            for emb in &embeddings {
+                for (i, val) in emb.iter().enumerate() {
+                    avg[i] += val;
+                }
+            }
+            
+            let count = embeddings.len() as f32;
+            for val in &mut avg {
+                *val /= count;
+            }
+
+            // normalize
+            let norm: f32 = avg.iter().map(|v| v * v).sum::<f32>().sqrt();
+            if norm > 0.0 {
+                for val in &mut avg {
+                    *val /= norm;
+                }
+            }
+
+            intents.push(IntentVector {
+                id: cmd.id.clone(),
+                vector: avg,
+            });
+        }
+    }
+
+    Ok(intents)
+}
+
+pub fn classify(text: &str) -> Result<(String, f64), String> {
+    let state = CLASSIFIER.get().ok_or("Classifier not initialized")?;
+    
+    // only the embedding model needs locking, intents are read-only
+    let embeddings = state.model.embedding.lock().embed(vec![text], None)
+        .map_err(|e| format!("Failed to embed query: {}", e))?;
+    
+    let mut query_vec = embeddings.into_iter().next()
+        .ok_or("Empty embedding result")?;
+
+    // normalize query
+    let norm: f32 = query_vec.iter().map(|v| v * v).sum::<f32>().sqrt();
+    if norm > 0.0 {
+        for val in &mut query_vec {
+            *val /= norm;
+        }
+    }
+
+    // cosine similarity - track index, clone only the winner
+    let mut best_idx: usize = 0;
+    let mut best_score: f64 = -1.0;
+
+    for (i, intent) in state.intents.iter().enumerate() {
+        let score: f64 = query_vec.iter()
+            .zip(intent.vector.iter())
+            .map(|(a, b)| (*a as f64) * (*b as f64))
+            .sum();
+
+        if score > best_score {
+            best_score = score;
+            best_idx = i;
+        }
+    }
+
+    let best_id = state.intents[best_idx].id.clone();
+    debug!("Embedding classify: '{}' -> '{}' ({:.2}%)", text, best_id, best_score * 100.0);
+
+    Ok((best_id, best_score))
+}
+
+#[derive(serde::Serialize, serde::Deserialize)]
+struct CachedIntent {
+    id: String,
+    vector: Vec<f32>,
+}
+
+fn intents_to_cache(intents: &[IntentVector]) -> Vec<CachedIntent> {
+    intents.iter().map(|i| CachedIntent {
+        id: i.id.clone(),
+        vector: i.vector.clone(),
+    }).collect()
+}
+
+fn load_cached_intents(path: &PathBuf) -> Result<Vec<IntentVector>, String> {
+    let json = fs::read_to_string(path)
+        .map_err(|e| format!("Failed to read cache: {}", e))?;
+    
+    let cached: Vec<CachedIntent> = serde_json::from_str(&json)
+        .map_err(|e| format!("Failed to parse cache: {}", e))?;
+    
+    Ok(cached.into_iter().map(|c| IntentVector {
+        id: c.id,
+        vector: c.vector,
+    }).collect())
+}
--- a/crates/jarvis-core/src/intent/intentclassifier.rs
+++ b/crates/jarvis-core/src/intent/intentclassifier.rs
@ -0,0 +1,96 @@
+use intent_classifier::{
+    IntentPrediction, IntentError,
+    TrainingExample, TrainingSource, IntentId
+};
+
+use std::sync::Arc;
+use std::fs;
+
+use crate::commands::{self, JCommandsList};
+use crate::models;
+use crate::models::intent_classifier::IntentClassifierModel;
+use crate::{APP_CONFIG_DIR, i18n};
+
+use once_cell::sync::OnceCell;
+
+static MODEL: OnceCell<Arc<IntentClassifierModel>> = OnceCell::new();
+
+const TRAINING_CACHE_FILE: &str = "intent_training.json";
+const COMMANDS_HASH_FILE: &str = "commands_hash.txt";
+
+pub async fn init(commands: &[JCommandsList]) -> Result<(), String> {
+    let current_hash = commands::commands_hash(&commands);
+    
+    let model = models::intent_classifier::load(models::registry(), "intent-classifier").await?;
+    
+    // check if we can use cached training data
+    let config_dir = APP_CONFIG_DIR.get().ok_or("Config dir not set")?;
+    let hash_path = config_dir.join(COMMANDS_HASH_FILE);
+    let cache_path = config_dir.join(TRAINING_CACHE_FILE);
+    
+    let should_retrain = if hash_path.exists() && cache_path.exists() {
+        let stored_hash = fs::read_to_string(&hash_path).unwrap_or_default();
+        stored_hash.trim() != current_hash
+    } else {
+        true
+    };
+    
+    if should_retrain {
+        info!("Training intent classifier with {} commands...", commands.len());
+        train_classifier(&model.classifier, &commands).await?;
+        
+        if let Ok(export) = model.classifier.export_training_data().await {
+            let _ = fs::write(&cache_path, export);
+            let _ = fs::write(&hash_path, &current_hash);
+            info!("Training data cached.");
+        }
+    } else {
+        info!("Loading cached training data...");
+        if let Ok(data) = fs::read_to_string(&cache_path) {
+            model.classifier.import_training_data(&data).await
+                .map_err(|e| format!("Failed to import training data: {}", e))?;
+        }
+    }
+    
+    MODEL.set(model).map_err(|_| "Model already set")?;
+    
+    Ok(())
+}
+
+pub async fn classify(text: &str) -> Result<IntentPrediction, IntentError> {
+    let model = MODEL.get().expect("IntentClassifier not initialized");
+    model.classifier.predict_intent(text).await
+}
+
+async fn train_classifier(
+    classifier: &intent_classifier::IntentClassifier,
+    commands: &[JCommandsList]
+) -> Result<(), String> {
+    let lang = i18n::get_language();
+    info!("Training intent classifier for language: {}", lang);
+
+    let mut total_examples = 0;
+
+    for assistant_cmd in commands {
+        for cmd in &assistant_cmd.commands {
+            let phrases = cmd.get_phrases(&lang);
+            
+            for phrase in phrases.iter() {
+                let example = TrainingExample {
+                    text: phrase.clone(),
+                    intent: IntentId::from(cmd.id.as_str()),
+                    confidence: 1.0,
+                    source: TrainingSource::Programmatic,
+                };
+                
+                classifier.add_training_example(example).await
+                    .map_err(|e| format!("Failed to add training example: {}", e))?;
+                
+                total_examples += 1;
+            }
+        }
+    }
+
+    info!("Added {} training examples for language '{}'", total_examples, lang);
+    Ok(())
+}
--- a/crates/jarvis-core/src/ipc.rs
+++ b/crates/jarvis-core/src/ipc.rs
@ -0,0 +1,5 @@
+mod events;
+mod server;
+
+pub use events::{IpcAction, IpcEvent};
+pub use server::{init, send, set_action_handler, start_server, has_clients, IPC_ADDR, IPC_PORT};
--- a/crates/jarvis-core/src/ipc/events.rs
+++ b/crates/jarvis-core/src/ipc/events.rs
@ -0,0 +1,56 @@
+use serde::{Deserialize, Serialize};
+
+// Events sent from jarvis-app to GUI
+#[derive(Clone, Debug, Serialize)]
+#[serde(tag = "event", rename_all = "snake_case")]
+pub enum IpcEvent {
+    // Wake word detected, starting to listen
+    WakeWordDetected,
+    
+    // Actively listening for command
+    Listening,
+    
+    // Speech recognized
+    SpeechRecognized { text: String },
+    
+    // Command was executed
+    CommandExecuted { id: String, success: bool },
+    
+    // Returned to idle state
+    Idle,
+    
+    // Error occurred
+    Error { message: String },
+    
+    // App started
+    Started,
+    
+    // App is shutting down
+    Stopping,
+    
+    // Pong response
+    Pong,
+
+    // request GUI to reveal/focus window
+    RevealWindow,
+}
+
+// Actions sent from GUI to jarvis-app
+#[derive(Clone, Debug, Deserialize)]
+#[serde(tag = "action", rename_all = "snake_case")]
+pub enum IpcAction {
+    // Request graceful shutdown
+    Stop,
+    
+    // Reload commands from disk
+    ReloadCommands,
+    
+    // Ping to check connection
+    Ping,
+    
+    // Mute/unmute listening
+    SetMuted { muted: bool },
+
+    // Execute text command
+    TextCommand { text: String },
+}
--- a/crates/jarvis-core/src/ipc/server.rs
+++ b/crates/jarvis-core/src/ipc/server.rs
@ -0,0 +1,198 @@
+use std::net::SocketAddr;
+use std::sync::Arc;
+
+use futures_util::{SinkExt, StreamExt};
+use once_cell::sync::OnceCell;
+use parking_lot::RwLock;
+use tokio::net::{TcpListener, TcpStream};
+use tokio::sync::broadcast;
+use tokio_tungstenite::{accept_async, tungstenite::Message};
+
+use super::events::{IpcAction, IpcEvent};
+
+pub const IPC_PORT: u16 = 9712;
+pub const IPC_ADDR: &str = "127.0.0.1";
+
+static BROADCAST_TX: OnceCell<broadcast::Sender<IpcEvent>> = OnceCell::new();
+static ACTION_HANDLER: OnceCell<Arc<RwLock<Option<Box<dyn Fn(IpcAction) + Send + Sync>>>>> = OnceCell::new();
+
+// Initialize the IPC broadcast channel
+pub fn init() -> broadcast::Sender<IpcEvent> {
+    if let Some(tx) = BROADCAST_TX.get() {
+        return tx.clone();
+    }
+
+    let (tx, _) = broadcast::channel::<IpcEvent>(32);
+    BROADCAST_TX.set(tx.clone()).ok();
+    ACTION_HANDLER.set(Arc::new(RwLock::new(None))).ok();
+    
+    info!("IPC: Broadcast channel initialized");
+    tx
+}
+
+// Send event to all connected clients
+pub fn send(event: IpcEvent) {
+    if let Some(tx) = BROADCAST_TX.get() {
+        match tx.send(event.clone()) {
+            Ok(n) => {
+                if n > 0 {
+                    debug!("IPC: Sent {:?} to {} client(s)", event, n);
+                }
+            }
+            Err(_) => {
+                // no receivers, that's fine
+            }
+        }
+    }
+}
+
+// Register handler for incoming actions from GUI
+pub fn set_action_handler<F>(handler: F)
+where
+    F: Fn(IpcAction) + Send + Sync + 'static,
+{
+    if let Some(h) = ACTION_HANDLER.get() {
+        *h.write() = Some(Box::new(handler));
+    }
+}
+
+fn handle_action(action: IpcAction) {
+    info!("IPC: Received action {:?}", action);
+    
+    // handle ping internally
+    if matches!(action, IpcAction::Ping) {
+        send(IpcEvent::Pong);
+        return;
+    }
+    
+    // forward to registered handler
+    if let Some(handler_lock) = ACTION_HANDLER.get() {
+        let handler = handler_lock.read();
+        if let Some(ref h) = *handler {
+            h(action);
+        }
+    }
+}
+
+// Start the WebSocket server (blocking)
+pub async fn start_server() {
+    let addr = format!("{}:{}", IPC_ADDR, IPC_PORT);
+    let socket_addr: SocketAddr = addr.parse().expect("Invalid IPC address");
+
+    let listener = match TcpListener::bind(&socket_addr).await {
+        Ok(l) => {
+            info!("IPC: WebSocket server listening on ws://{}", addr);
+            l
+        }
+        Err(e) => {
+            error!("IPC: Failed to bind to {}: {}", addr, e);
+            return;
+        }
+    };
+
+    // notify that we're ready
+    send(IpcEvent::Started);
+
+    while let Ok((stream, peer_addr)) = listener.accept().await {
+        info!("IPC: Client connecting from {}", peer_addr);
+        
+        let rx = BROADCAST_TX
+            .get()
+            .map(|tx| tx.subscribe())
+            .expect("IPC not initialized");
+
+        tokio::spawn(handle_client(stream, peer_addr, rx));
+    }
+}
+
+async fn handle_client(
+    stream: TcpStream,
+    peer_addr: SocketAddr,
+    mut event_rx: broadcast::Receiver<IpcEvent>,
+) {
+    let ws_stream = match accept_async(stream).await {
+        Ok(ws) => {
+            info!("IPC: Client connected: {}", peer_addr);
+            ws
+        }
+        Err(e) => {
+            error!("IPC: WebSocket handshake failed for {}: {}", peer_addr, e);
+            return;
+        }
+    };
+
+    let (mut ws_tx, mut ws_rx) = ws_stream.split();
+
+    loop {
+        tokio::select! {
+            // forward events to client
+            event_result = event_rx.recv() => {
+                match event_result {
+                    Ok(event) => {
+                        let json = match serde_json::to_string(&event) {
+                            Ok(j) => j,
+                            Err(e) => {
+                                error!("IPC: Failed to serialize event: {}", e);
+                                continue;
+                            }
+                        };
+
+                        if ws_tx.send(Message::Text(json.into())).await.is_err() {
+                            info!("IPC: Client {} disconnected (send failed)", peer_addr);
+                            break;
+                        }
+                    }
+                    Err(broadcast::error::RecvError::Lagged(n)) => {
+                        warn!("IPC: Client {} lagged {} events", peer_addr, n);
+                    }
+                    Err(broadcast::error::RecvError::Closed) => {
+                        info!("IPC: Broadcast channel closed");
+                        break;
+                    }
+                }
+            }
+
+            // receive messages from client
+            msg_result = ws_rx.next() => {
+                match msg_result {
+                    Some(Ok(Message::Text(text))) => {
+                        match serde_json::from_str::<IpcAction>(&text) {
+                            Ok(action) => handle_action(action),
+                            Err(e) => {
+                                warn!("IPC: Invalid action from {}: {} ({})", peer_addr, text, e);
+                            }
+                        }
+                    }
+                    Some(Ok(Message::Ping(data))) => {
+                        if ws_tx.send(Message::Pong(data)).await.is_err() {
+                            break;
+                        }
+                    }
+                    Some(Ok(Message::Close(_))) => {
+                        info!("IPC: Client {} sent close frame", peer_addr);
+                        break;
+                    }
+                    Some(Err(e)) => {
+                        error!("IPC: Error receiving from {}: {}", peer_addr, e);
+                        break;
+                    }
+                    None => {
+                        info!("IPC: Client {} stream ended", peer_addr);
+                        break;
+                    }
+                    _ => {}
+                }
+            }
+        }
+    }
+
+    info!("IPC: Client disconnected: {}", peer_addr);
+}
+
+pub fn has_clients() -> bool {
+    if let Some(tx) = BROADCAST_TX.get() {
+        tx.receiver_count() > 0
+    } else {
+        false
+    }
+}
--- a/crates/jarvis-core/src/lib.rs
+++ b/crates/jarvis-core/src/lib.rs
@ -0,0 +1,72 @@
+use once_cell::sync::{Lazy, OnceCell};
+use parking_lot::RwLock;
+use std::{sync::Arc};
+use platform_dirs::AppDirs;
+use std::path::PathBuf;
+
+#[macro_use]
+extern crate log;
+
+pub mod time;
+
+pub mod audio;
+pub mod commands;
+pub mod config;
+pub mod db;
+pub mod i18n;
+
+#[cfg(feature = "jarvis_app")]
+pub mod listener;
+
+pub mod recorder;
+
+#[cfg(feature = "jarvis_app")]
+pub mod stt;
+
+#[cfg(feature = "intent")]
+pub mod intent;
+
+#[cfg(feature = "jarvis_app")]
+pub mod slots;
+
+pub mod models;
+
+// re-exported from models/
+pub use models::vosk_models;
+pub use models::gliner_models;
+
+#[cfg(feature = "jarvis_app")]
+pub mod audio_processing;
+
+#[cfg(feature = "jarvis_app")]
+pub mod ipc;
+
+pub mod voices;
+
+pub mod audio_buffer;
+
+#[cfg(feature = "lua")]
+pub mod lua;
+
+// shared statics
+// pub static APP_DIR: Lazy<PathBuf> = Lazy::new(|| std::env::current_dir().unwrap());
+pub static APP_DIR: Lazy<PathBuf> = Lazy::new(|| {
+    std::env::current_exe()
+        .ok()
+        .and_then(|p| p.parent().map(|p| p.to_path_buf()))
+        .unwrap_or_else(|| std::env::current_dir().unwrap())
+});
+pub static SOUND_DIR: Lazy<PathBuf> = Lazy::new(|| APP_DIR.clone().join(config::SOUND_PATH));
+pub static APP_DIRS: OnceCell<AppDirs> = OnceCell::new();
+pub static APP_CONFIG_DIR: OnceCell<PathBuf> = OnceCell::new();
+pub static APP_LOG_DIR: OnceCell<PathBuf> = OnceCell::new();
+pub static DB: OnceCell<Arc<RwLock<db::structs::Settings>>> = OnceCell::new();
+pub static COMMANDS_LIST: OnceCell<Vec<JCommandsList>> = OnceCell::new();
+
+// re-exports
+pub use commands::JCommandsList;
+pub use config::structs::*;
+pub use db::structs::Settings;
+pub use db::SettingsManager;
+
+// use crate::commands::{JComandsList, JCommand};
--- a/crates/jarvis-core/src/listener.rs
+++ b/crates/jarvis-core/src/listener.rs
@ -0,0 +1,46 @@
+mod rustpotter;
+mod vosk;
+
+use once_cell::sync::OnceCell;
+
+use crate::config::structs::WakeWordEngine;
+
+use crate::DB;
+
+static WAKE_WORD_ENGINE: OnceCell<WakeWordEngine> = OnceCell::new();
+
+pub fn init() -> Result<(), String> {
+    if WAKE_WORD_ENGINE.get().is_some() {
+        return Ok(());
+    }
+
+    let engine = DB.get().unwrap().read().wake_word_engine;
+
+    WAKE_WORD_ENGINE.set(engine)
+        .map_err(|_| "Wake word engine already set".to_string())?;
+
+    match engine {
+        WakeWordEngine::Porcupine => {
+            Err("Porcupine wake-word engine is not supported".to_string())
+        }
+        WakeWordEngine::Rustpotter => {
+            info!("Initializing Rustpotter wake-word engine.");
+            rustpotter::init()
+                .map_err(|_| "Failed to init Rustpotter".to_string())
+        }
+        WakeWordEngine::Vosk => {
+            info!("Initializing Vosk as wake-word engine.");
+            warn!("Using Vosk as wake-word engine is highly not recommended, because it's very slow for this task.");
+            vosk::init()
+                .map_err(|_| "Failed to init Vosk wake-word".to_string())
+        }
+    }
+}
+
+pub fn data_callback(frame_buffer: &[i16]) -> Option<i32> {
+    match WAKE_WORD_ENGINE.get()? {
+        WakeWordEngine::Porcupine => None,
+        WakeWordEngine::Rustpotter => rustpotter::data_callback(frame_buffer),
+        WakeWordEngine::Vosk => vosk::data_callback(frame_buffer),
+    }
+}
--- a/crates/jarvis-core/src/listener/porcupine.rs
+++ b/crates/jarvis-core/src/listener/porcupine.rs
@ -0,0 +1,56 @@
+use std::path::Path;
+
+use once_cell::sync::OnceCell;
+use porcupine::{Porcupine, PorcupineBuilder};
+
+use crate::config;
+use crate::DB;
+
+// store porcupine instance
+static PORCUPINE: OnceCell<Porcupine> = OnceCell::new();
+
+pub fn init() -> Result<(), ()> {
+    let picovoice_api_key: String;
+
+    // retrieve picovoice api key
+    picovoice_api_key = DB.get().unwrap().api_keys.picovoice.clone();
+    if picovoice_api_key.trim().is_empty() {
+        warn!("Picovoice API key is not set.");
+        return Err(());
+    }
+
+    // create porcupine instance with the given API key
+    match PorcupineBuilder::new_with_keyword_paths(
+        picovoice_api_key,
+        &[Path::new(config::KEYWORDS_PATH).join(config::DEFAULT_KEYWORD)],
+    )
+    .sensitivities(&[config::DEFAULT_SENSITIVITY]) // set sensitivity
+    .init()
+    {
+        Ok(pinstance) => {
+            // success
+            info!("Porcupine successfully initialized with the given API key.");
+
+            // store
+            PORCUPINE.set(pinstance);
+        }
+        Err(msg) => {
+            error!("Porcupine failed to initialize, either API key is not valid or there is no internet connection.");
+            error!("Error details: {}", msg);
+
+            return Err(());
+        }
+    }
+
+    Ok(())
+}
+
+pub fn data_callback(frame_buffer: &[i16]) -> Option<i32> {
+    if let Ok(keyword_index) = PORCUPINE.get().unwrap().process(&frame_buffer) {
+        if keyword_index >= 0 {
+            return Some(keyword_index);
+        }
+    }
+
+    None
+}
--- a/crates/jarvis-core/src/listener/rustpotter.rs
+++ b/crates/jarvis-core/src/listener/rustpotter.rs
@ -0,0 +1,69 @@
+use std::sync::Mutex;
+
+use once_cell::sync::OnceCell;
+use rustpotter::Rustpotter;
+
+use crate::config;
+
+// store rustpotter instance
+static RUSTPOTTER: OnceCell<Mutex<Rustpotter>> = OnceCell::new();
+
+pub fn init() -> Result<(), ()> {
+    let rustpotter_config = config::RUSTPOTTER_DEFAULT_CONFIG;
+
+    // create rustpotter instance
+    match Rustpotter::new(&rustpotter_config) {
+        Ok(mut rinstance) => {
+            // success
+            // wake word files list
+            // @TODO. Make it configurable via GUI for custom user voice.
+            let rustpotter_wake_word_files: [&str; 1] = [
+                "resources/rustpotter/jarvis-default.rpw",
+                // "rustpotter/jarvis-community-1.rpw",
+                // "rustpotter/jarvis-community-2.rpw",
+                // "rustpotter/jarvis-community-3.rpw",
+                // "rustpotter/jarvis-community-4.rpw",
+                // "rustpotter/jarvis-community-5.rpw",
+            ];
+
+            // load wake word files
+            for rpw in rustpotter_wake_word_files {
+                // @TODO: Change wakeword key to something else?
+                if let Err(e) = rinstance.add_wakeword_from_file(rpw, rpw) {
+                    error!("Failed to load wakeword file '{}': {}", rpw, e);
+                }
+            }
+
+            // store
+            let _ = RUSTPOTTER.set(Mutex::new(rinstance));
+        }
+        Err(msg) => {
+            error!("Rustpotter failed to initialize.\nError details: {}", msg);
+
+            return Err(());
+        }
+    }
+
+    Ok(())
+}
+
+pub fn data_callback(frame_buffer: &[i16]) -> Option<i32> {
+    let mut lock = RUSTPOTTER.get().unwrap().lock();
+    let rustpotter = lock.as_mut().unwrap();
+    // let detection = rustpotter.process_samples(frame_buffer.to_vec()); // @TODO. Temp crutch. Fix optimization issue, frame_buffer should not be copied to a new vector!
+    let detection = rustpotter.process_samples(frame_buffer);
+
+    // info!("Ruspotter data callback");
+
+    if let Some(detection) = detection {
+        if detection.score > config::RUSPOTTER_MIN_SCORE {
+            info!("Rustpotter detection info:\n{:?}", detection);
+
+            return Some(0);
+        } else {
+            info!("Rustpotter detection info:\n{:?}", detection)
+        }
+    }
+
+    None
+}
--- a/crates/jarvis-core/src/listener/vosk.rs
+++ b/crates/jarvis-core/src/listener/vosk.rs
@ -0,0 +1,76 @@
+use crate::{config, stt, i18n};
+
+pub fn init() -> Result<(), ()> {
+    Ok(()) // nothing to init for Vosk
+}
+
+pub fn data_callback(frame_buffer: &[i16]) -> Option<i32> {
+    if let Some((recognized, _confidence)) = stt::recognize_wake_word(frame_buffer) {
+        let recognized = recognized.trim().to_lowercase();
+        
+        // skip unknown/empty
+        if recognized.is_empty() || recognized == "[unk]" {
+            return None;
+        }
+        
+        info!("Wake word candidate: '{}'", recognized);
+        
+        // language-specific wake phrase
+        let lang = i18n::get_language();
+        let wake_phrases = config::get_wake_phrases(&lang);
+
+        // verify with seqdiff ratio
+        for word in recognized.split_whitespace() {
+            if word == "[unk]" {
+                continue;
+            }
+            
+            let word_chars: Vec<char> = word.chars().collect();
+            
+            for wake_phrase in wake_phrases {
+                let wake_chars: Vec<char> = wake_phrase.chars().collect();
+                let similarity = seqdiff::ratio(&wake_chars, &word_chars);
+                
+                if similarity >= config::VOSK_MIN_RATIO {
+                    info!("Wake word match: '{}' ~ '{}' ({:.1}%)", word, wake_phrase, similarity);
+                    return Some(0);
+                }
+            }
+        }
+        
+        // info!("Similarity: {:.1}% ('{}' vs '{}')", similarity, recognized, config::VOSK_FETCH_PHRASE);
+    }
+    
+    None
+}
+
+// @TODO. Make it better somehow (more accurate or with higher sensitivity).
+// pub fn data_callback(frame_buffer: &[i16]) -> Option<i32> {
+//     // recognize & convert to sequence
+//     let recognized_phrase = stt::recognize(&frame_buffer, true).unwrap_or("".into());
+
+//     if !recognized_phrase.trim().is_empty() {
+//         info!("Vosk wake-word debug info:");
+//         info!("rec: {}", recognized_phrase);
+//         let recognized_phrases = recognized_phrase.split_whitespace();
+//         for phrase in recognized_phrases {
+//             let recognized_phrase_chars = phrase.trim().to_lowercase().chars().collect::<Vec<_>>();
+
+//             // compare
+//             let compare_ratio = seqdiff::ratio(
+//                 &config::VOSK_FETCH_PHRASE.chars().collect::<Vec<_>>(),
+//                 &recognized_phrase_chars,
+//             );
+//             info!("og phrase: {:?}", &config::VOSK_FETCH_PHRASE);
+//             info!("recognized phrase: {:?}", &recognized_phrase_chars);
+//             info!("compare ratio: {}", compare_ratio);
+
+//             if compare_ratio >= config::VOSK_MIN_RATIO {
+//                 info!("Phrase activated.");
+//                 return Some(0);
+//             }
+//         }
+//     }
+
+//     None
+// }
--- a/crates/jarvis-core/src/lua.rs
+++ b/crates/jarvis-core/src/lua.rs
@ -0,0 +1,28 @@
+mod engine;
+mod sandbox;
+mod error;
+mod api;
+
+mod structs;
+pub use structs::*;
+
+pub use engine::LuaEngine;
+pub use sandbox::SandboxLevel;
+pub use error::LuaError;
+
+use std::path::PathBuf;
+use std::time::Duration;
+
+#[cfg(test)]
+mod tests;
+
+// Execute a Lua command script
+pub fn execute(
+    script_path: &PathBuf,
+    context: CommandContext,
+    sandbox: SandboxLevel,
+    timeout: Duration,
+) -> Result<CommandResult, LuaError> {
+    let engine = LuaEngine::new(sandbox)?;
+    engine.execute(script_path, context, timeout)
+}
--- a/crates/jarvis-core/src/lua/api.rs
+++ b/crates/jarvis-core/src/lua/api.rs
@ -0,0 +1,7 @@
+pub mod core;
+pub mod audio;
+pub mod context;
+pub mod http;
+pub mod fs;
+pub mod state;
+pub mod system;
--- a/crates/jarvis-core/src/lua/api/_new_api_module_example.rs
+++ b/crates/jarvis-core/src/lua/api/_new_api_module_example.rs
@ -0,0 +1,37 @@
+// QUICK HELP ON HOW TO ADD NEW LUA API MODULE
+//
+// # 1. DEFINE NEW API MODULE FILE
+
+use mlua::{Lua, Table};
+use crate::lua::error::LuaError;
+
+pub fn register(lua: &Lua, jarvis: &Table) -> mlua::Result<()> {
+    let mymodule = lua.create_table()?;
+    
+    // add functions
+    let my_fn = lua.create_function(|_, arg: String| {
+        // implementation
+        Ok(format!("Result: {}", arg))
+    })?;
+    mymodule.set("my_function", my_fn)?;
+    
+    jarvis.set("mymodule", mymodule)?;
+    
+    Ok(())
+}
+
+// # 2. ADD NEW API MODULE TO mod.rs
+
+pub mod mymodule;
+
+
+// # 3. REGISTER NEW MODULE IN engine.rs
+// in register_api()
+api::mymodule::register(&self.lua, &jarvis)?;
+
+// # 4. YOU CAN ALSO DEFINE ASYNC FUNCTIONS INSTEAD
+let async_fn = lua.create_async_function(|_, url: String| async move {
+    let response = reqwest::get(&url).await
+        .map_err(|e| mlua::Error::runtime(e.to_string()))?;
+    Ok(response.text().await.unwrap_or_default())
+})?;
--- a/crates/jarvis-core/src/lua/api/audio.rs
+++ b/crates/jarvis-core/src/lua/api/audio.rs
@ -0,0 +1,77 @@
+// Audio Lua API: something sound related, apparently :3
+
+use mlua::{Lua, Table};
+use crate::voices::{self, Reaction};
+
+pub fn register(lua: &Lua, jarvis: &Table) -> mlua::Result<()> {
+    let audio = lua.create_table()?;
+    
+    // jarvis.audio.play(reaction)
+    // reactions: "ok", "reply", "greet", "not_found", "error", "goodbye", "thanks"
+    let play_fn = lua.create_function(|_, reaction: String| {
+        let reaction_enum = match reaction.to_lowercase().as_str() {
+            "ok" => Reaction::Ok,
+            "reply" => Reaction::Reply,
+            "greet" => Reaction::Greet,
+            "not_found" => Reaction::NotFound,
+            "error" => Reaction::Error,
+            "goodbye" => Reaction::Goodbye,
+            "thanks" => Reaction::Thanks,
+            // "joke" => Reaction::Joke, NO PUN INTENDED :3
+            _ => {
+                log::warn!("[Lua] Unknown reaction: {}", reaction);
+                return Ok(false);
+            }
+        };
+         
+        voices::play(reaction_enum);
+        Ok(true)
+    })?;
+    audio.set("play", play_fn)?;
+    
+    // jarvis.audio.play_ok()
+    let play_ok_fn = lua.create_function(|_, ()| {
+        voices::play_ok();
+        Ok(())
+    })?;
+    audio.set("play_ok", play_ok_fn)?;
+    
+    // jarvis.audio.play_reply()
+    let play_reply_fn = lua.create_function(|_, ()| {
+        voices::play_reply();
+        Ok(())
+    })?;
+    audio.set("play_reply", play_reply_fn)?;
+    
+    // jarvis.audio.play_error()
+    let play_error_fn = lua.create_function(|_, ()| {
+        voices::play_error();
+        Ok(())
+    })?;
+    audio.set("play_error", play_error_fn)?;
+    
+    // jarvis.audio.play_not_found()
+    let play_not_found_fn = lua.create_function(|_, ()| {
+        voices::play_not_found();
+        Ok(())
+    })?;
+    audio.set("play_not_found", play_not_found_fn)?;
+    
+    // jarvis.audio.play_greet()
+    let play_greet_fn = lua.create_function(|_, ()| {
+        voices::play_greet();
+        Ok(())
+    })?;
+    audio.set("play_greet", play_greet_fn)?;
+    
+    // jarvis.audio.play_goodbye()
+    let play_goodbye_fn = lua.create_function(|_, ()| {
+        voices::play_goodbye();
+        Ok(())
+    })?;
+    audio.set("play_goodbye", play_goodbye_fn)?;
+    
+    jarvis.set("audio", audio)?;
+    
+    Ok(())
+}
--- a/crates/jarvis-core/src/lua/api/context.rs
+++ b/crates/jarvis-core/src/lua/api/context.rs
@ -0,0 +1,45 @@
+// Context Lua API: read-only command context
+
+use mlua::{Lua, Table};
+use crate::lua::{CommandContext};
+
+use crate::commands::SlotValue;
+
+pub fn register(lua: &Lua, jarvis: &Table, ctx: &CommandContext) -> mlua::Result<()> {
+    let context = lua.create_table()?;
+    
+    // read-only context values
+    context.set("phrase", ctx.phrase.clone())?;
+    context.set("command_id", ctx.command_id.clone())?;
+    context.set("command_path", ctx.command_path.to_string_lossy().to_string())?;
+    context.set("language", ctx.language.clone())?;
+    
+    // time info
+    let time = lua.create_table()?;
+    let now = chrono::Local::now();
+    time.set("year", now.format("%Y").to_string())?;
+    time.set("month", now.format("%m").to_string())?;
+    time.set("day", now.format("%d").to_string())?;
+    time.set("hour", now.format("%H").to_string())?;
+    time.set("minute", now.format("%M").to_string())?;
+    time.set("second", now.format("%S").to_string())?;
+    time.set("weekday", now.format("%A").to_string())?;
+    time.set("timestamp", now.timestamp())?;
+    context.set("time", time)?;
+    
+    // slots
+    let slots_table = lua.create_table()?;
+    if let Some(ref slots) = ctx.slots {
+        for (name, value) in slots {
+            match value {
+                SlotValue::Text(t) => slots_table.set(name.as_str(), t.as_str())?,
+                SlotValue::Number(n) => slots_table.set(name.as_str(), *n)?,
+            }
+        }
+    }
+    context.set("slots", slots_table)?;
+
+    jarvis.set("context", context)?;
+    
+    Ok(())
+}
--- a/crates/jarvis-core/src/lua/api/core.rs
+++ b/crates/jarvis-core/src/lua/api/core.rs
@ -0,0 +1,50 @@
+// Core Lua API: log, sleep, print, etc.
+
+use mlua::{Lua, Table, MultiValue};
+
+pub fn register(lua: &Lua, jarvis: &Table) -> mlua::Result<()> {
+
+    // @ jarvis.log(level, message)
+    // log something
+    let log_fn = lua.create_function(|_, (level, message): (String, String)| {
+        match level.to_lowercase().as_str() {
+            "debug" => log::debug!("[Lua] {}", message),
+            "info" => log::info!("[Lua] {}", message),
+            "warn" => log::warn!("[Lua] {}", message),
+            "error" => log::error!("[Lua] {}", message),
+            _ => log::info!("[Lua] {}", message),
+        }
+        Ok(())
+    })?;
+    jarvis.set("log", log_fn)?;
+    
+    // @ jarvis.print(...)
+    // simple print
+    let print_fn = lua.create_function(|_, args: MultiValue| {
+        let parts: Vec<String> = args.iter()
+            .map(|v| format!("{:?}", v))
+            .collect();
+        log::info!("[Lua] {}", parts.join(" "));
+        Ok(())
+    })?;
+    jarvis.set("print", print_fn)?;
+    
+    // @ jarvis.sleep(ms)
+    // ..zZZ
+    let sleep_fn = lua.create_function(|_, ms: u64| {
+        std::thread::sleep(std::time::Duration::from_millis(ms));
+        Ok(())
+    })?;
+    jarvis.set("sleep", sleep_fn)?;
+    
+    // @ jarvis.speak(text)
+    // @TODO: update when TTS will be implemented
+    let speak_fn = lua.create_function(|_, text: String| {
+        log::info!("[Lua] SPEAK: {}", text);
+        // pass
+        Ok(())
+    })?;
+    jarvis.set("speak", speak_fn)?;
+    
+    Ok(())
+}
--- a/crates/jarvis-core/src/lua/api/fs.rs
+++ b/crates/jarvis-core/src/lua/api/fs.rs
@ -0,0 +1,212 @@
+// File System Lua API: read, write, list (sandboxed)
+
+use mlua::{Lua, Table};
+use std::path::{Path, PathBuf};
+use std::fs;
+
+use crate::lua::sandbox::SandboxLevel;
+
+pub fn register(
+    lua: &Lua,
+    jarvis: &Table,
+    command_path: &PathBuf,
+    sandbox: SandboxLevel,
+) -> mlua::Result<()> {
+    let fs_table = lua.create_table()?;
+    
+    let cmd_path = command_path.clone();
+    let sandbox_level = sandbox;
+    
+    // jarvis.fs.read(path)
+    let cmd_path_read = cmd_path.clone();
+    let read_fn = lua.create_function(move |_, path: String| {
+        let full_path = resolve_path(&cmd_path_read, &path, sandbox_level)?;
+        
+        fs::read_to_string(&full_path)
+            .map_err(|e| mlua::Error::runtime(format!("Read error: {}", e)))
+    })?;
+    fs_table.set("read", read_fn)?;
+    
+    // jarvis.fs.read_bytes(path)
+    let cmd_path_read_bytes = cmd_path.clone();
+    let read_bytes_fn = lua.create_function(move |lua, path: String| {
+        let full_path = resolve_path(&cmd_path_read_bytes, &path, sandbox_level)?;
+        
+        let bytes = fs::read(&full_path)
+            .map_err(|e| mlua::Error::runtime(format!("Read error: {}", e)))?;
+        
+        Ok(lua.create_string(&bytes)?)
+    })?;
+    fs_table.set("read_bytes", read_bytes_fn)?;
+    
+    // jarvis.fs.write(path, content)
+    let cmd_path_write = cmd_path.clone();
+    let write_fn = lua.create_function(move |_, (path, content): (String, String)| {
+        if !sandbox_level.allows_fs_write() {
+            return Err(mlua::Error::runtime("Write not allowed in this sandbox"));
+        }
+        
+        let full_path = resolve_path(&cmd_path_write, &path, sandbox_level)?;
+        
+        // ensure parent directory exists
+        if let Some(parent) = full_path.parent() {
+            fs::create_dir_all(parent)
+                .map_err(|e| mlua::Error::runtime(format!("Create dir error: {}", e)))?;
+        }
+        
+        fs::write(&full_path, content)
+            .map_err(|e| mlua::Error::runtime(format!("Write error: {}", e)))?;
+        
+        Ok(true)
+    })?;
+    fs_table.set("write", write_fn)?;
+    
+    // jarvis.fs.append(path, content)
+    let cmd_path_append = cmd_path.clone();
+    let append_fn = lua.create_function(move |_, (path, content): (String, String)| {
+        if !sandbox_level.allows_fs_write() {
+            return Err(mlua::Error::runtime("Write not allowed in this sandbox"));
+        }
+        
+        let full_path = resolve_path(&cmd_path_append, &path, sandbox_level)?;
+        
+        use std::io::Write;
+        let mut file = fs::OpenOptions::new()
+            .create(true)
+            .append(true)
+            .open(&full_path)
+            .map_err(|e| mlua::Error::runtime(format!("Open error: {}", e)))?;
+        
+        file.write_all(content.as_bytes())
+            .map_err(|e| mlua::Error::runtime(format!("Write error: {}", e)))?;
+        
+        Ok(true)
+    })?;
+    fs_table.set("append", append_fn)?;
+    
+    // jarvis.fs.exists(path)
+    let cmd_path_exists = cmd_path.clone();
+    let exists_fn = lua.create_function(move |_, path: String| {
+        let full_path = resolve_path(&cmd_path_exists, &path, sandbox_level)?;
+        Ok(full_path.exists())
+    })?;
+    fs_table.set("exists", exists_fn)?;
+    
+    // jarvis.fs.is_file(path)
+    let cmd_path_is_file = cmd_path.clone();
+    let is_file_fn = lua.create_function(move |_, path: String| {
+        let full_path = resolve_path(&cmd_path_is_file, &path, sandbox_level)?;
+        Ok(full_path.is_file())
+    })?;
+    fs_table.set("is_file", is_file_fn)?;
+    
+    // jarvis.fs.is_dir(path)
+    let cmd_path_is_dir = cmd_path.clone();
+    let is_dir_fn = lua.create_function(move |_, path: String| {
+        let full_path = resolve_path(&cmd_path_is_dir, &path, sandbox_level)?;
+        Ok(full_path.is_dir())
+    })?;
+    fs_table.set("is_dir", is_dir_fn)?;
+    
+    // jarvis.fs.list(path)
+    let cmd_path_list = cmd_path.clone();
+    let list_fn = lua.create_function(move |lua, path: Option<String>| {
+        let full_path = if let Some(p) = path {
+            resolve_path(&cmd_path_list, &p, sandbox_level)?
+        } else {
+            cmd_path_list.clone()
+        };
+        
+        let result = lua.create_table()?;
+        
+        let entries = fs::read_dir(&full_path)
+            .map_err(|e| mlua::Error::runtime(format!("List error: {}", e)))?;
+        
+        let mut idx = 1;
+        for entry in entries {
+            if let Ok(entry) = entry {
+                let item = lua.create_table()?;
+                item.set("name", entry.file_name().to_string_lossy().to_string())?;
+                item.set("path", entry.path().to_string_lossy().to_string())?;
+                item.set("is_file", entry.path().is_file())?;
+                item.set("is_dir", entry.path().is_dir())?;
+                
+                result.set(idx, item)?;
+                idx += 1;
+            }
+        }
+        
+        Ok(result)
+    })?;
+    fs_table.set("list", list_fn)?;
+    
+    // jarvis.fs.mkdir(path)
+    let cmd_path_mkdir = cmd_path.clone();
+    let mkdir_fn = lua.create_function(move |_, path: String| {
+        if !sandbox_level.allows_fs_write() {
+            return Err(mlua::Error::runtime("Write not allowed in this sandbox"));
+        }
+        
+        let full_path = resolve_path(&cmd_path_mkdir, &path, sandbox_level)?;
+        
+        fs::create_dir_all(&full_path)
+            .map_err(|e| mlua::Error::runtime(format!("Mkdir error: {}", e)))?;
+        
+        Ok(true)
+    })?;
+    fs_table.set("mkdir", mkdir_fn)?;
+    
+    // jarvis.fs.remove(path)
+    let cmd_path_remove = cmd_path.clone();
+    let remove_fn = lua.create_function(move |_, path: String| {
+        if !sandbox_level.allows_fs_write() {
+            return Err(mlua::Error::runtime("Write not allowed in this sandbox"));
+        }
+        
+        let full_path = resolve_path(&cmd_path_remove, &path, sandbox_level)?;
+        
+        if full_path.is_dir() {
+            fs::remove_dir_all(&full_path)
+                .map_err(|e| mlua::Error::runtime(format!("Remove error: {}", e)))?;
+        } else {
+            fs::remove_file(&full_path)
+                .map_err(|e| mlua::Error::runtime(format!("Remove error: {}", e)))?;
+        }
+        
+        Ok(true)
+    })?;
+    fs_table.set("remove", remove_fn)?;
+    
+    jarvis.set("fs", fs_table)?;
+    
+    Ok(())
+}
+
+// Resolve path relative to command folder, with sandbox checks
+fn resolve_path(command_path: &PathBuf, path: &str, sandbox: SandboxLevel) -> mlua::Result<PathBuf> {
+    let path = Path::new(path);
+    
+    // if absolute path, check sandbox allows it
+    if path.is_absolute() {
+        if !sandbox.allows_expanded_paths() {
+            return Err(mlua::Error::runtime("Absolute paths not allowed in this sandbox"));
+        }
+        return Ok(path.to_path_buf());
+    }
+    
+    // relative path - resolve against command folder
+    let resolved = command_path.join(path);
+    
+    // canonicalize to resolve ../ etc and check it's still within command folder
+    let canonical = resolved.canonicalize()
+        .unwrap_or_else(|_| resolved.clone());
+    
+    let cmd_canonical = command_path.canonicalize()
+        .unwrap_or_else(|_| command_path.clone());
+    
+    if !sandbox.allows_expanded_paths() && !canonical.starts_with(&cmd_canonical) {
+        return Err(mlua::Error::runtime("Path escapes command folder"));
+    }
+    
+    Ok(resolved)
+}
--- a/crates/jarvis-core/src/lua/api/http.rs
+++ b/crates/jarvis-core/src/lua/api/http.rs
@ -0,0 +1,226 @@
+// HTTP Lua API: GET, POST, JSON requests
+
+use mlua::{Lua, Table, Value};
+use std::collections::HashMap;
+use std::time::Duration;
+
+pub fn register(lua: &Lua, jarvis: &Table) -> mlua::Result<()> {
+    let http = lua.create_table()?;
+    
+    // jarvis.http.get(url, headers?)
+    let get_fn = lua.create_function(|lua, (url, headers): (String, Option<Table>)| {
+        http_request(lua, "GET", &url, None, headers)
+    })?;
+    http.set("get", get_fn)?;
+    
+    // jarvis.http.post(url, body, headers?)
+    let post_fn = lua.create_function(|lua, (url, body, headers): (String, Option<String>, Option<Table>)| {
+        http_request(lua, "POST", &url, body, headers)
+    })?;
+    http.set("post", post_fn)?;
+    
+    // jarvis.http.post_json(url, data, headers?)
+    let post_json_fn = lua.create_function(|lua, (url, data, headers): (String, Table, Option<Table>)| {
+        // convert Lua table to JSON string
+        let json_value = table_to_json(lua, data)?;
+        let body = serde_json::to_string(&json_value)
+            .map_err(|e| mlua::Error::runtime(e.to_string()))?;
+        
+        // add content-type header
+        let mut header_map: HashMap<String, String> = HashMap::new();
+        header_map.insert("Content-Type".to_string(), "application/json".to_string());
+        
+        if let Some(h) = headers {
+            for pair in h.pairs::<String, String>() {
+                if let Ok((k, v)) = pair {
+                    header_map.insert(k, v);
+                }
+            }
+        }
+        
+        http_request_with_headers(lua, "POST", &url, Some(body), header_map)
+    })?;
+    http.set("post_json", post_json_fn)?;
+    
+    // jarvis.http.json(url) - GET + parse JSON
+    let json_fn = lua.create_function(|lua, url: String| {
+        let client = reqwest::blocking::Client::builder()
+            .timeout(Duration::from_secs(30))
+            .build()
+            .map_err(|e| mlua::Error::runtime(e.to_string()))?;
+        
+        let response = client.get(&url)
+            .send()
+            .map_err(|e| mlua::Error::runtime(e.to_string()))?;
+        
+        if response.status().is_success() {
+            let json: serde_json::Value = response.json()
+                .map_err(|e| mlua::Error::runtime(e.to_string()))?;
+            json_to_lua(lua, json)
+        } else {
+            Ok(Value::Nil)
+        }
+    })?;
+    http.set("json", json_fn)?;
+    
+    jarvis.set("http", http)?;
+    
+    Ok(())
+}
+
+fn http_request(
+    lua: &Lua,
+    method: &str,
+    url: &str,
+    body: Option<String>,
+    headers: Option<Table>,
+) -> mlua::Result<Table> {
+    let header_map: HashMap<String, String> = if let Some(h) = headers {
+        h.pairs::<String, String>()
+            .filter_map(|r| r.ok())
+            .collect()
+    } else {
+        HashMap::new()
+    };
+    
+    http_request_with_headers(lua, method, url, body, header_map)
+}
+
+fn http_request_with_headers(
+    lua: &Lua,
+    method: &str,
+    url: &str,
+    body: Option<String>,
+    headers: HashMap<String, String>,
+) -> mlua::Result<Table> {
+    let client = reqwest::blocking::Client::builder()
+        .timeout(Duration::from_secs(30))
+        .build()
+        .map_err(|e| mlua::Error::runtime(e.to_string()))?;
+    
+    let mut request = match method {
+        "POST" => client.post(url),
+        "PUT" => client.put(url),
+        "DELETE" => client.delete(url),
+        _ => client.get(url),
+    };
+    
+    for (k, v) in headers {
+        request = request.header(&k, &v);
+    }
+    
+    if let Some(b) = body {
+        request = request.body(b);
+    }
+    
+    let result = lua.create_table()?;
+    
+    match request.send() {
+        Ok(response) => {
+            result.set("ok", response.status().is_success())?;
+            result.set("status", response.status().as_u16())?;
+            
+            // get headers
+            let headers_table = lua.create_table()?;
+            for (name, value) in response.headers() {
+                if let Ok(v) = value.to_str() {
+                    headers_table.set(name.as_str(), v)?;
+                }
+            }
+            result.set("headers", headers_table)?;
+            
+            // get body
+            match response.text() {
+                Ok(text) => result.set("body", text)?,
+                Err(e) => result.set("body", format!("Error reading body: {}", e))?,
+            }
+        }
+        Err(e) => {
+            result.set("ok", false)?;
+            result.set("status", 0)?;
+            result.set("error", e.to_string())?;
+            result.set("body", "")?;
+        }
+    }
+    
+    Ok(result)
+}
+
+// Convert Lua table to serde_json::Value
+fn table_to_json(lua: &Lua, table: Table) -> mlua::Result<serde_json::Value> {
+    use serde_json::{Value as JsonValue, Map};
+    
+    // check if it's an array (sequential integer keys starting from 1)
+    let is_array = table.clone().pairs::<i64, Value>()
+        .filter_map(|r| r.ok())
+        .enumerate()
+        .all(|(i, (k, _))| k == (i + 1) as i64);
+    
+    if is_array && table.len()? > 0 {
+        let arr: Vec<JsonValue> = table.sequence_values::<Value>()
+            .filter_map(|r| r.ok())
+            .map(|v| lua_to_json(lua, v))
+            .collect::<Result<Vec<_>, _>>()?;
+        Ok(JsonValue::Array(arr))
+    } else {
+        let mut map = Map::new();
+        for pair in table.pairs::<String, Value>() {
+            let (k, v) = pair?;
+            map.insert(k, lua_to_json(lua, v)?);
+        }
+        Ok(JsonValue::Object(map))
+    }
+}
+
+// Convert Lua Value to serde_json::Value
+fn lua_to_json(lua: &Lua, value: Value) -> mlua::Result<serde_json::Value> {
+    use serde_json::{Value as JsonValue, Number};
+    
+    match value {
+        Value::Nil => Ok(JsonValue::Null),
+        Value::Boolean(b) => Ok(JsonValue::Bool(b)),
+        Value::Integer(i) => Ok(JsonValue::Number(Number::from(i))),
+        Value::Number(n) => {
+            Number::from_f64(n)
+                .map(JsonValue::Number)
+                .ok_or_else(|| mlua::Error::runtime("Invalid float"))
+        }
+        Value::String(s) => Ok(JsonValue::String(s.to_str()?.to_string())),
+        Value::Table(t) => table_to_json(lua, t),
+        _ => Err(mlua::Error::runtime("Unsupported type for JSON")),
+    }
+}
+
+// Convert serde_json::Value to Lua Value
+fn json_to_lua(lua: &Lua, json: serde_json::Value) -> mlua::Result<Value> {
+    use serde_json::Value as JsonValue;
+    
+    match json {
+        JsonValue::Null => Ok(Value::Nil),
+        JsonValue::Bool(b) => Ok(Value::Boolean(b)),
+        JsonValue::Number(n) => {
+            if let Some(i) = n.as_i64() {
+                Ok(Value::Integer(i))
+            } else if let Some(f) = n.as_f64() {
+                Ok(Value::Number(f))
+            } else {
+                Ok(Value::Nil)
+            }
+        }
+        JsonValue::String(s) => Ok(Value::String(lua.create_string(&s)?)),
+        JsonValue::Array(arr) => {
+            let table = lua.create_table()?;
+            for (i, v) in arr.into_iter().enumerate() {
+                table.set(i + 1, json_to_lua(lua, v)?)?;
+            }
+            Ok(Value::Table(table))
+        }
+        JsonValue::Object(map) => {
+            let table = lua.create_table()?;
+            for (k, v) in map {
+                table.set(k, json_to_lua(lua, v)?)?;
+            }
+            Ok(Value::Table(table))
+        }
+    }
+}
--- a/crates/jarvis-core/src/lua/api/settings.rs
+++ b/crates/jarvis-core/src/lua/api/settings.rs
--- a/crates/jarvis-core/src/lua/api/state.rs
+++ b/crates/jarvis-core/src/lua/api/state.rs
@ -0,0 +1,184 @@
+// State Lua API: persistent key-value storage per command
+
+use mlua::{Lua, Table, Result, Value};
+use std::path::PathBuf;
+use std::fs;
+use std::collections::HashMap;
+
+const STATE_FILE: &str = ".state.json";
+
+pub fn register(lua: &Lua, jarvis: &Table, command_path: &PathBuf) -> mlua::Result<()> {
+    let state = lua.create_table()?;
+    let state_path = command_path.join(STATE_FILE);
+    
+    // jarvis.state.get(key)
+    let state_path_get = state_path.clone();
+    let get_fn = lua.create_function(move |lua, key: String| {
+        let data = load_state(&state_path_get);
+        
+        if let Some(value) = data.get(&key) {
+            json_to_lua_value(lua, value.clone())
+        } else {
+            Ok(Value::Nil)
+        }
+    })?;
+    state.set("get", get_fn)?;
+    
+    // jarvis.state.set(key, value)
+    let state_path_set = state_path.clone();
+    let set_fn = lua.create_function(move |_, (key, value): (String, Value)| {
+        let mut data = load_state(&state_path_set);
+        
+        let json_value = lua_to_json_value(value)?;
+        data.insert(key, json_value);
+        
+        save_state(&state_path_set, &data)?;
+        Ok(true)
+    })?;
+    state.set("set", set_fn)?;
+    
+    // jarvis.state.delete(key)
+    let state_path_delete = state_path.clone();
+    let delete_fn = lua.create_function(move |_, key: String| {
+        let mut data = load_state(&state_path_delete);
+        let existed = data.remove(&key).is_some();
+        save_state(&state_path_delete, &data)?;
+        Ok(existed)
+    })?;
+    state.set("delete", delete_fn)?;
+    
+    // jarvis.state.clear()
+    let state_path_clear = state_path.clone();
+    let clear_fn = lua.create_function(move |_, ()| {
+        let data: HashMap<String, serde_json::Value> = HashMap::new();
+        save_state(&state_path_clear, &data)?;
+        Ok(true)
+    })?;
+    state.set("clear", clear_fn)?;
+    
+    // jarvis.state.keys()
+    let state_path_keys = state_path.clone();
+    let keys_fn = lua.create_function(move |lua, ()| {
+        let data = load_state(&state_path_keys);
+        let table = lua.create_table()?;
+        
+        for (i, key) in data.keys().enumerate() {
+            table.set(i + 1, key.clone())?;
+        }
+        
+        Ok(table)
+    })?;
+    state.set("keys", keys_fn)?;
+    
+    // jarvis.state.all()
+    let state_path_all = state_path.clone();
+    let all_fn = lua.create_function(move |lua, ()| {
+        let data = load_state(&state_path_all);
+        let table = lua.create_table()?;
+        
+        for (key, value) in data {
+            let lua_value = json_to_lua_value(lua, value)?;
+            table.set(key, lua_value)?;
+        }
+        
+        Ok(table)
+    })?;
+    state.set("all", all_fn)?;
+    
+    jarvis.set("state", state)?;
+    
+    Ok(())
+}
+
+fn load_state(path: &PathBuf) -> HashMap<String, serde_json::Value> {
+    if !path.exists() {
+        return HashMap::new();
+    }
+    
+    fs::read_to_string(path)
+        .ok()
+        .and_then(|s| serde_json::from_str(&s).ok())
+        .unwrap_or_default()
+}
+
+fn save_state(path: &PathBuf, data: &HashMap<String, serde_json::Value>) -> mlua::Result<()> {
+    let json = serde_json::to_string_pretty(data)
+        .map_err(|e| mlua::Error::runtime(e.to_string()))?;
+    
+    fs::write(path, json)
+        .map_err(|e| mlua::Error::runtime(e.to_string()))?;
+    
+    Ok(())
+}
+
+fn lua_to_json_value(value: Value) -> mlua::Result<serde_json::Value> {
+    use serde_json::Value as JsonValue;
+    
+    match value {
+        Value::Nil => Ok(JsonValue::Null),
+        Value::Boolean(b) => Ok(JsonValue::Bool(b)),
+        Value::Integer(i) => Ok(JsonValue::Number(i.into())),
+        Value::Number(n) => {
+            serde_json::Number::from_f64(n)
+                .map(JsonValue::Number)
+                .ok_or_else(|| mlua::Error::runtime("Invalid float"))
+        }
+        Value::String(s) => Ok(JsonValue::String(s.to_str()?.to_string())),
+        Value::Table(t) => {
+            // check if array
+            let is_array = t.clone().pairs::<i64, Value>()
+                .filter_map(|r| r.ok())
+                .enumerate()
+                .all(|(i, (k, _))| k == (i + 1) as i64);
+            
+            if is_array && t.len().unwrap_or(0) > 0 {
+                let arr: Vec<JsonValue> = t.sequence_values::<Value>()
+                    .filter_map(|r| r.ok())
+                    .map(lua_to_json_value)
+                    .collect::<Result<Vec<_>>>()?;
+                Ok(JsonValue::Array(arr))
+            } else {
+                let mut map = serde_json::Map::new();
+                for pair in t.pairs::<String, Value>() {
+                    let (k, v) = pair?;
+                    map.insert(k, lua_to_json_value(v)?);
+                }
+                Ok(JsonValue::Object(map))
+            }
+        }
+        _ => Err(mlua::Error::runtime("Unsupported type for state")),
+    }
+}
+
+fn json_to_lua_value(lua: &Lua, json: serde_json::Value) -> mlua::Result<Value> {
+    use serde_json::Value as JsonValue;
+    
+    match json {
+        JsonValue::Null => Ok(Value::Nil),
+        JsonValue::Bool(b) => Ok(Value::Boolean(b)),
+        JsonValue::Number(n) => {
+            if let Some(i) = n.as_i64() {
+                Ok(Value::Integer(i))
+            } else if let Some(f) = n.as_f64() {
+                Ok(Value::Number(f))
+            } else {
+                Ok(Value::Nil)
+            }
+        }
+        JsonValue::String(s) => Ok(Value::String(lua.create_string(&s)?)),
+        JsonValue::Array(arr) => {
+            let table = lua.create_table()?;
+            for (i, v) in arr.into_iter().enumerate() {
+                table.set(i + 1, json_to_lua_value(lua, v)?)?;
+            }
+            Ok(Value::Table(table))
+        }
+        JsonValue::Object(map) => {
+            let table = lua.create_table()?;
+            for (k, v) in map {
+                table.set(k, json_to_lua_value(lua, v)?)?;
+            }
+            Ok(Value::Table(table))
+        }
+    }
+}
--- a/crates/jarvis-core/src/lua/api/system.rs
+++ b/crates/jarvis-core/src/lua/api/system.rs
@ -0,0 +1,240 @@
+// System Lua API: exec, open, clipboard, notify
+
+use mlua::{Lua, Table};
+use std::process::Command;
+
+use crate::lua::sandbox::SandboxLevel;
+
+pub fn register(lua: &Lua, jarvis: &Table, sandbox: SandboxLevel) -> mlua::Result<()> {
+    let system = lua.create_table()?;
+    
+    // jarvis.system.open(url_or_path) - always available
+    let open_fn = lua.create_function(|_, target: String| {
+        let result = if cfg!(target_os = "windows") {
+            Command::new("cmd")
+                .args(["/C", "start", "", &target])
+                .spawn()
+        } else if cfg!(target_os = "macos") {
+            Command::new("open")
+                .arg(&target)
+                .spawn()
+        } else {
+            Command::new("xdg-open")
+                .arg(&target)
+                .spawn()
+        };
+        
+        match result {
+            Ok(_) => Ok(true),
+            Err(e) => {
+                log::warn!("[Lua] Failed to open {}: {}", target, e);
+                Ok(false)
+            }
+        }
+    })?;
+    system.set("open", open_fn)?;
+    
+    // jarvis.system.exec(cmd, args?) - only in full sandbox
+    if sandbox.allows_exec() {
+        let exec_fn = lua.create_function(|lua, (cmd, args): (String, Option<Table>)| {
+            let mut command = if cfg!(target_os = "windows") {
+                let mut c = Command::new("cmd");
+                c.args(["/C", &cmd]);
+                c
+            } else {
+                let mut c = Command::new("sh");
+                c.args(["-c", &cmd]);
+                c
+            };
+            
+            // add extra args if provided
+            if let Some(args_table) = args {
+                for pair in args_table.sequence_values::<String>() {
+                    if let Ok(arg) = pair {
+                        command.arg(arg);
+                    }
+                }
+            }
+            
+            let output = command.output()
+                .map_err(|e| mlua::Error::runtime(e.to_string()))?;
+            
+            let result = lua.create_table()?;
+            result.set("success", output.status.success())?;
+            result.set("code", output.status.code().unwrap_or(-1))?;
+            result.set("stdout", String::from_utf8_lossy(&output.stdout).to_string())?;
+            result.set("stderr", String::from_utf8_lossy(&output.stderr).to_string())?;
+            
+            Ok(result)
+        })?;
+        system.set("exec", exec_fn)?;
+    }
+    
+    // jarvis.system.notify(title, message) - always available
+    let notify_fn = lua.create_function(|_, (title, message): (String, String)| {
+        log::info!("[Lua] NOTIFY: {} - {}", title, message);
+        
+        // platform-specific notification
+        #[cfg(target_os = "windows")]
+        {
+            use winrt_notification::{Toast, Duration as ToastDuration};
+            
+            if let Err(e) = Toast::new(Toast::POWERSHELL_APP_ID)
+                .title(&title)
+                .text1(&message)
+                .duration(ToastDuration::Short)
+                .show()
+            {
+                log::warn!("[Lua] Failed to show toast notification: {}", e);
+                // fallback to msg.exe
+                let _ = Command::new("msg")
+                    .args(["*", "/time:10", &format!("{}: {}", title, message)])
+                    .spawn();
+            }
+        }
+        
+        #[cfg(target_os = "linux")]
+        {
+            let _ = Command::new("notify-send")
+                .args([&title, &message])
+                .spawn();
+        }
+        
+        #[cfg(target_os = "macos")]
+        {
+            let script = format!(
+                r#"display notification "{}" with title "{}""#,
+                message.replace("\"", "\\\""),
+                title.replace("\"", "\\\"")
+            );
+            let _ = Command::new("osascript")
+                .args(["-e", &script])
+                .spawn();
+        }
+        
+        Ok(true)
+    })?;
+    system.set("notify", notify_fn)?;
+    
+    // jarvis.system.clipboard - subtable
+    let clipboard = lua.create_table()?;
+    
+    // jarvis.system.clipboard.get() - always available
+    let clipboard_get_fn = lua.create_function(|_, ()| {
+        #[cfg(target_os = "windows")]
+        {
+            let output = Command::new("powershell")
+                .args(["-Command", "Get-Clipboard"])
+                .output()
+                .map_err(|e| mlua::Error::runtime(e.to_string()))?;
+            
+            Ok(String::from_utf8_lossy(&output.stdout).trim().to_string())
+        }
+        
+        #[cfg(target_os = "linux")]
+        {
+            let output = Command::new("xclip")
+                .args(["-selection", "clipboard", "-o"])
+                .output()
+                .or_else(|_| {
+                    Command::new("xsel")
+                        .args(["--clipboard", "--output"])
+                        .output()
+                })
+                .map_err(|e| mlua::Error::runtime(e.to_string()))?;
+            
+            Ok(String::from_utf8_lossy(&output.stdout).to_string())
+        }
+        
+        #[cfg(target_os = "macos")]
+        {
+            let output = Command::new("pbpaste")
+                .output()
+                .map_err(|e| mlua::Error::runtime(e.to_string()))?;
+            
+            Ok(String::from_utf8_lossy(&output.stdout).to_string())
+        }
+        
+        #[cfg(not(any(target_os = "windows", target_os = "linux", target_os = "macos")))]
+        {
+            Err(mlua::Error::runtime("Clipboard not supported on this platform"))
+        }
+    })?;
+    clipboard.set("get", clipboard_get_fn)?;
+    
+    // jarvis.system.clipboard.set(text) - only in full sandbox
+    if sandbox.allows_clipboard_write() {
+        let clipboard_set_fn = lua.create_function(|_, text: String| {
+            #[cfg(target_os = "windows")]
+            {
+                let script = format!("Set-Clipboard -Value '{}'", text.replace("'", "''"));
+                Command::new("powershell")
+                    .args(["-Command", &script])
+                    .output()
+                    .map_err(|e| mlua::Error::runtime(e.to_string()))?;
+            }
+            
+            #[cfg(target_os = "linux")]
+            {
+                use std::io::Write;
+                let mut child = Command::new("xclip")
+                    .args(["-selection", "clipboard"])
+                    .stdin(std::process::Stdio::piped())
+                    .spawn()
+                    .or_else(|_| {
+                        Command::new("xsel")
+                            .args(["--clipboard", "--input"])
+                            .stdin(std::process::Stdio::piped())
+                            .spawn()
+                    })
+                    .map_err(|e| mlua::Error::runtime(e.to_string()))?;
+                
+                if let Some(stdin) = child.stdin.as_mut() {
+                    stdin.write_all(text.as_bytes())
+                        .map_err(|e| mlua::Error::runtime(e.to_string()))?;
+                }
+            }
+            
+            #[cfg(target_os = "macos")]
+            {
+                use std::io::Write;
+                let mut child = Command::new("pbcopy")
+                    .stdin(std::process::Stdio::piped())
+                    .spawn()
+                    .map_err(|e| mlua::Error::runtime(e.to_string()))?;
+                
+                if let Some(stdin) = child.stdin.as_mut() {
+                    stdin.write_all(text.as_bytes())
+                        .map_err(|e| mlua::Error::runtime(e.to_string()))?;
+                }
+            }
+            
+            Ok(true)
+        })?;
+        clipboard.set("set", clipboard_set_fn)?;
+    }
+    
+    system.set("clipboard", clipboard)?;
+    
+    // jarvis.system.env(name) - get environment variable (always available)
+    let env_fn = lua.create_function(|_, name: String| {
+        Ok(std::env::var(&name).ok())
+    })?;
+    system.set("env", env_fn)?;
+    
+    // jarvis.system.platform - read-only string
+    let platform = if cfg!(target_os = "windows") {
+        "windows"
+    } else if cfg!(target_os = "macos") {
+        "macos"
+    } else if cfg!(target_os = "linux") {
+        "linux"
+    } else {
+        "unknown"
+    };
+    system.set("platform", platform)?;
+    
+    jarvis.set("system", system)?;
+    
+    Ok(())
+}
--- a/crates/jarvis-core/src/lua/engine.rs
+++ b/crates/jarvis-core/src/lua/engine.rs
@ -0,0 +1,169 @@
+use mlua::{Lua, Value, StdLib};
+use std::path::PathBuf;
+use std::time::Duration;
+use std::fs;
+
+use super::sandbox::SandboxLevel;
+use super::error::LuaError;
+use super::{CommandContext, CommandResult};
+use super::api;
+
+pub struct LuaEngine {
+    lua: Lua,
+    sandbox: SandboxLevel,
+}
+
+
+
+impl LuaEngine {
+    pub fn new(sandbox: SandboxLevel) -> Result<Self, LuaError> {
+        // select which standard libraries to load based on sandbox access level
+        let std_libs = match sandbox {
+            SandboxLevel::Minimal => {
+                StdLib::TABLE | StdLib::STRING | StdLib::MATH
+            }
+            SandboxLevel::Standard => {
+                StdLib::TABLE | StdLib::STRING | StdLib::MATH | StdLib::UTF8
+            }
+            SandboxLevel::Full => {
+                StdLib::TABLE | StdLib::STRING | StdLib::MATH | StdLib::UTF8 | StdLib::OS
+            }
+        };
+        
+        let lua = Lua::new_with(std_libs, mlua::LuaOptions::default())
+            .map_err(|e| LuaError::InitError(e.to_string()))?;
+        
+        // remove dangerous globals regardless of sandbox
+        {
+            let globals = lua.globals();
+            
+            // always remove these
+            let _ = globals.set("loadfile", Value::Nil);
+            let _ = globals.set("dofile", Value::Nil);
+            let _ = globals.set("load", Value::Nil);
+            let _ = globals.set("loadstring", Value::Nil);
+            
+            // remove io unless full sandbox
+            if !matches!(sandbox, SandboxLevel::Full) {
+                let _ = globals.set("io", Value::Nil);
+            }
+            
+            // remove os.execute, os.exit, os.setlocale even in full mode
+            // for SECURITY REASONS!!!
+            if matches!(sandbox, SandboxLevel::Full) {
+                if let Ok(os) = globals.get::<mlua::Table>("os") {
+                    let _ = os.set("execute", Value::Nil);
+                    let _ = os.set("exit", Value::Nil);
+                    let _ = os.set("remove", Value::Nil);
+                    let _ = os.set("rename", Value::Nil);
+                    let _ = os.set("setlocale", Value::Nil);
+                }
+            }
+        }
+        
+        Ok(Self { lua, sandbox })
+    }
+    
+    // Register all jarvis APIs
+    fn register_api(&self, context: &CommandContext) -> Result<(), LuaError> {
+        let globals = self.lua.globals();
+        
+        // main jarvis table
+        let jarvis = self.lua.create_table()
+            .map_err(|e| LuaError::InitError(e.to_string()))?;
+        
+        // always register core APIs
+        api::core::register(&self.lua, &jarvis)?;
+        api::audio::register(&self.lua, &jarvis)?;
+        api::context::register(&self.lua, &jarvis, context)?;
+        
+        // sandbox-controlled APIs
+        if self.sandbox.allows_http() {
+            api::http::register(&self.lua, &jarvis)?;
+        }
+        
+        if self.sandbox.allows_state() {
+            api::state::register(&self.lua, &jarvis, &context.command_path)?;
+        }
+        
+        if self.sandbox.allows_fs() {
+            api::fs::register(&self.lua, &jarvis, &context.command_path, self.sandbox)?;
+        }
+        
+        api::system::register(&self.lua, &jarvis, self.sandbox)?;
+        
+        globals.set("jarvis", jarvis)
+            .map_err(|e| LuaError::InitError(e.to_string()))?;
+        
+        Ok(())
+    }
+    
+    // Main LUA executor
+    pub fn execute(
+        &self,
+        script_path: &PathBuf,
+        context: CommandContext,
+        timeout: Duration,
+    ) -> Result<CommandResult, LuaError> {
+        // register APIs
+        self.register_api(&context)?;
+        
+        // load script
+        let script_content = fs::read_to_string(script_path)
+            .map_err(|e| LuaError::LoadError(format!("{}: {}", script_path.display(), e)))?;
+        
+        let script_name = script_path.file_name()
+            .unwrap()
+            .to_string_lossy()
+            .to_string();
+
+
+        // set up timeout hook
+        let start = std::time::Instant::now();
+        self.lua.set_hook(mlua::HookTriggers {
+            every_nth_instruction: Some(1000),
+            ..Default::default()
+        }, move |_lua, _debug| {
+            if start.elapsed() > timeout {
+                Err(mlua::Error::runtime("Script timeout"))
+            } else {
+                Ok(mlua::VmState::Continue)
+            }
+        }).map_err(|e| LuaError::InitError(e.to_string()))?;
+
+        // execute script
+        let result = self.lua.load(&script_content)
+            .set_name(&script_name)
+            .eval::<Value>();
+        
+        // remove hook
+        let _ = self.lua.remove_hook();
+
+        // result
+        match result {
+            Ok(value) => Ok(self.parse_result(value)),
+            Err(e) => {
+                if e.to_string().contains("timeout") {
+                    Err(LuaError::Timeout)
+                } else {
+                    Err(LuaError::RuntimeError(e.to_string()))
+                }
+            }
+        }
+    }
+    
+    // Parse Lua return value into CommandResult
+    fn parse_result(&self, value: Value) -> CommandResult {
+        match value {
+            // return { chain = false }
+            Value::Table(t) => {
+                let chain = t.get::<bool>("chain").unwrap_or(true);
+                CommandResult { chain }
+            }
+            // return false (shorthand for no chain)
+            Value::Boolean(chain) => CommandResult { chain },
+            // return nil or no return = chain
+            _ => CommandResult::default(),
+        }
+    }
+}
--- a/crates/jarvis-core/src/lua/error.rs
+++ b/crates/jarvis-core/src/lua/error.rs
@ -0,0 +1,49 @@
+use std::fmt;
+
+#[derive(Debug)]
+pub enum LuaError {
+    // Failed to create Lua VM
+    InitError(String),
+
+    // Failed to load script file
+    LoadError(String),
+
+    // Script execution error
+    RuntimeError(String),
+
+    // Script exceeded timeout
+    Timeout,
+
+    // Sandbox violation
+    SandboxViolation(String),
+    
+    // IO error
+    IoError(std::io::Error),
+}
+
+impl fmt::Display for LuaError {
+    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
+        match self {
+            LuaError::InitError(msg) => write!(f, "Lua init error: {}", msg),
+            LuaError::LoadError(msg) => write!(f, "Script load error: {}", msg),
+            LuaError::RuntimeError(msg) => write!(f, "Runtime error: {}", msg),
+            LuaError::Timeout => write!(f, "Script timeout"),
+            LuaError::SandboxViolation(msg) => write!(f, "Sandbox violation: {}", msg),
+            LuaError::IoError(e) => write!(f, "IO error: {}", e),
+        }
+    }
+}
+
+impl std::error::Error for LuaError {}
+
+impl From<mlua::Error> for LuaError {
+    fn from(e: mlua::Error) -> Self {
+        LuaError::RuntimeError(e.to_string())
+    }
+}
+
+impl From<std::io::Error> for LuaError {
+    fn from(e: std::io::Error) -> Self {
+        LuaError::IoError(e)
+    }
+}
--- a/crates/jarvis-core/src/lua/sandbox.rs
+++ b/crates/jarvis-core/src/lua/sandbox.rs
@ -0,0 +1,65 @@
+use serde::{Deserialize, Serialize};
+
+// Sandbox level controlling what APIs are available
+#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)]
+pub enum SandboxLevel {
+    // Minimal: only core APIs (log, speak, audio, context)
+    Minimal,
+
+    // Standard: + http, state, fs (command folder only)
+    Standard,
+
+    // Full: + system.exec, expanded fs access
+    Full,
+}
+
+impl SandboxLevel {
+    pub fn from_str(s: &str) -> Self {
+        match s.to_lowercase().as_str() {
+            "minimal" => SandboxLevel::Minimal,
+            "full" => SandboxLevel::Full,
+            _ => SandboxLevel::Standard,
+        }
+    }
+    
+    // Can use HTTP API
+    pub fn allows_http(&self) -> bool {
+        matches!(self, SandboxLevel::Standard | SandboxLevel::Full)
+    }
+    
+    // Can use persistent state API
+    pub fn allows_state(&self) -> bool {
+        matches!(self, SandboxLevel::Standard | SandboxLevel::Full)
+    }
+    
+    // Can use file system API
+    pub fn allows_fs(&self) -> bool {
+        matches!(self, SandboxLevel::Standard | SandboxLevel::Full)
+    }
+    
+    // Can write files
+    pub fn allows_fs_write(&self) -> bool {
+        matches!(self, SandboxLevel::Standard | SandboxLevel::Full)
+    }
+    
+    // Can execute system commands
+    pub fn allows_exec(&self) -> bool {
+        matches!(self, SandboxLevel::Full)
+    }
+    
+    // Can access clipboard write
+    pub fn allows_clipboard_write(&self) -> bool {
+        matches!(self, SandboxLevel::Full)
+    }
+    
+    // Can access paths outside command folder
+    pub fn allows_expanded_paths(&self) -> bool {
+        matches!(self, SandboxLevel::Full)
+    }
+}
+
+impl Default for SandboxLevel {
+    fn default() -> Self {
+        SandboxLevel::Standard
+    }
+}
--- a/crates/jarvis-core/src/lua/structs.rs
+++ b/crates/jarvis-core/src/lua/structs.rs
@ -0,0 +1,35 @@
+use std::{collections::HashMap, path::PathBuf};
+
+use crate::commands::SlotValue;
+
+// Context passed to Lua scripts
+#[derive(Debug, Clone)]
+pub struct CommandContext {
+    // The phrase that triggered the command
+    pub phrase: String,
+    
+    // Command ID
+    pub command_id: String,
+
+    // Path to command folder
+    pub command_path: PathBuf,
+
+    // Current language
+    pub language: String,
+
+    // Slots
+    pub slots: Option<HashMap<String, SlotValue>>
+}
+
+// Result returned from Lua script execution
+#[derive(Debug, Clone)]
+pub struct CommandResult {
+    // Whether to continue chaining commands
+    pub chain: bool,
+}
+
+impl Default for CommandResult {
+    fn default() -> Self {
+        Self { chain: true }
+    }
+}
--- a/crates/jarvis-core/src/lua/tests.rs
+++ b/crates/jarvis-core/src/lua/tests.rs
@ -0,0 +1,112 @@
+#[cfg(test)]
+mod tests {
+    use crate::lua::{CommandContext, LuaError, SandboxLevel, execute};
+
+    use std::path::PathBuf;
+    use std::time::Duration;
+    use tempfile::tempdir;
+    use std::fs;
+    
+    fn create_test_context(cmd_path: PathBuf) -> CommandContext {
+        CommandContext {
+            phrase: "test phrase".to_string(),
+            command_id: "test_cmd".to_string(),
+            command_path: cmd_path,
+            language: "en".to_string(),
+            slots: None,
+        }
+    }
+    
+    #[test]
+    fn test_minimal_sandbox() {
+        let dir = tempdir().unwrap();
+        let script_path = dir.path().join("test.lua");
+        
+        fs::write(&script_path, r#"
+            jarvis.log("info", "test log")
+            return { chain = false }
+        "#).unwrap();
+        
+        let context = create_test_context(dir.path().to_path_buf());
+        let result = execute(
+            &script_path,
+            context,
+            SandboxLevel::Minimal,
+            Duration::from_secs(5),
+        );
+        
+        assert!(result.is_ok());
+        assert_eq!(result.unwrap().chain, false);
+    }
+    
+    #[test]
+    fn test_state_persistence() {
+        let dir = tempdir().unwrap();
+        let script_path = dir.path().join("test.lua");
+        
+        // first run - set state
+        fs::write(&script_path, r#"
+            jarvis.state.set("key", "value")
+            return true
+        "#).unwrap();
+        
+        let context = create_test_context(dir.path().to_path_buf());
+        execute(&script_path, context, SandboxLevel::Standard, Duration::from_secs(5)).unwrap();
+        
+        // second run - read state
+        fs::write(&script_path, r#"
+            local val = jarvis.state.get("key")
+            if val == "value" then
+                return true
+            else
+                error("State not persisted")
+            end
+        "#).unwrap();
+        
+        let context = create_test_context(dir.path().to_path_buf());
+        let result = execute(&script_path, context, SandboxLevel::Standard, Duration::from_secs(5));
+        
+        assert!(result.is_ok());
+    }
+    
+    #[test]
+    fn test_timeout() {
+        let dir = tempdir().unwrap();
+        let script_path = dir.path().join("test.lua");
+        
+        fs::write(&script_path, r#"
+            while true do end
+        "#).unwrap();
+        
+        let context = create_test_context(dir.path().to_path_buf());
+        let result = execute(
+            &script_path,
+            context,
+            SandboxLevel::Minimal,
+            Duration::from_millis(100),
+        );
+        
+        assert!(matches!(result, Err(LuaError::Timeout)));
+    }
+    
+    #[test]
+    fn test_sandbox_fs_escape() {
+        let dir = tempdir().unwrap();
+        let script_path = dir.path().join("test.lua");
+        
+        fs::write(&script_path, r#"
+            local ok, err = pcall(function()
+                jarvis.fs.read("../../../etc/passwd")
+            end)
+            if ok then
+                error("Should have been blocked")
+            end
+            return true
+        "#).unwrap();
+        
+        let context = create_test_context(dir.path().to_path_buf());
+        let result = execute(&script_path, context, SandboxLevel::Standard, Duration::from_secs(5));
+        
+        assert!(result.is_ok());
+    }
+}
--- a/crates/jarvis-core/src/models.rs
+++ b/crates/jarvis-core/src/models.rs
@ -0,0 +1,67 @@
+mod registry;
+mod catalog;
+pub mod structs;
+pub mod loaders;
+
+pub mod vosk_models;
+pub mod gliner_models;
+
+// re-export loaders
+#[cfg(feature = "jarvis_app")]
+pub use loaders::embedding;
+
+#[cfg(feature = "jarvis_app")]
+pub use loaders::gliner;
+
+#[cfg(feature = "jarvis_app")]
+pub use loaders::ort_model;
+
+#[cfg(feature = "jarvis_app")]
+pub use loaders::intent_classifier;
+
+#[cfg(feature = "vosk")]
+pub use loaders::vosk;
+
+#[cfg(feature = "nnnoiseless")]
+pub use loaders::nnnoiseless;
+
+pub use registry::ModelRegistry;
+pub use structs::{Task, ModelDef, BackendOption};
+
+use once_cell::sync::OnceCell;
+
+use crate::APP_DIR;
+
+pub const MODELS_PATH: &str = "resources/models";
+
+static REGISTRY: OnceCell<ModelRegistry> = OnceCell::new();
+
+pub fn init() -> Result<(), String> {
+    if REGISTRY.get().is_some() {
+        return Ok(());
+    }
+
+    let registry = ModelRegistry::new();
+
+    let models_dir = APP_DIR.join(MODELS_PATH);
+    let models = catalog::scan_models(&models_dir);
+    info!("Found {} model(s) in {:?}", models.len(), models_dir);
+    registry.set_catalog(models);
+
+    REGISTRY.set(registry)
+        .map_err(|_| "Models registry already initialized".to_string())?;
+
+    Ok(())
+}
+
+pub fn registry() -> &'static ModelRegistry {
+    REGISTRY.get().expect("Models registry not initialized - call models::init() first")
+}
+
+pub fn get_options(task: Task) -> Vec<BackendOption> {
+    registry().with_catalog(|models| catalog::get_options(task, models))
+}
+
+pub fn is_valid_backend(task: Task, backend_id: &str) -> bool {
+    registry().with_catalog(|models| catalog::is_valid_backend(task, backend_id, models))
+}
--- a/crates/jarvis-core/src/models/catalog.rs
+++ b/crates/jarvis-core/src/models/catalog.rs
@ -0,0 +1,140 @@
+use std::fs;
+use std::path::Path;
+
+use super::structs::{Task, ModelDef, BackendOption};
+
+// scan the models directory for folders containing model.toml
+pub fn scan_models(models_dir: &Path) -> Vec<ModelDef> {
+    let mut models = Vec::new();
+
+    if !models_dir.exists() {
+        warn!("Models directory not found: {:?}", models_dir);
+        return models;
+    }
+
+    let entries = match fs::read_dir(models_dir) {
+        Ok(e) => e,
+        Err(e) => {
+            warn!("Failed to read models dir: {}", e);
+            return models;
+        }
+    };
+
+    for entry in entries.flatten() {
+        let path = entry.path();
+        if !path.is_dir() {
+            continue;
+        }
+
+        let toml_path = path.join("model.toml");
+        if !toml_path.exists() {
+            continue;
+        }
+
+        match load_model_def(&toml_path, &path) {
+            Ok(def) => {
+                info!("Found model: {} ({}) - tasks: {:?}", def.name, def.id, def.tasks);
+                models.push(def);
+            }
+            Err(e) => warn!("Failed to load model from {:?}: {}", path, e),
+        }
+    }
+
+    models
+}
+
+fn load_model_def(toml_path: &Path, model_dir: &Path) -> Result<ModelDef, String> {
+    let content = fs::read_to_string(toml_path)
+        .map_err(|e| format!("read error: {}", e))?;
+
+    let parsed: ModelToml = toml::from_str(&content)
+        .map_err(|e| format!("parse error: {}", e))?;
+
+    let mut def = parsed.model;
+    def.path = model_dir.to_path_buf();
+
+    Ok(def)
+}
+
+#[derive(serde::Deserialize)]
+struct ModelToml {
+    model: ModelDef,
+}
+
+// Code backends per task
+pub fn code_backends(task: Task) -> Vec<BackendOption> {
+    match task {
+        Task::Intent => vec![
+            BackendOption {
+                id: "intent-classifier".into(),
+                name: "Intent Classifier".into(),
+                model_id: None,
+            },
+        ],
+        Task::Slots => vec![],
+        Task::Vad => vec![
+            BackendOption {
+                id: "energy".into(),
+                name: "Energy-based".into(),
+                model_id: None,
+            },
+            BackendOption {
+                id: "nnnoiseless".into(),
+                name: "Nnnoiseless".into(),
+                model_id: None,
+            },
+        ],
+        Task::NoiseSuppression => vec![
+            BackendOption {
+                id: "nnnoiseless".into(),
+                name: "Nnnoiseless".into(),
+                model_id: None,
+            },
+        ],
+        Task::Stt => vec![
+            BackendOption {
+                id: "vosk".into(),
+                name: "Vosk".into(),
+                model_id: None,
+            },
+        ],
+    }
+}
+
+// get all available options for a task:
+// "none" first, then code backends, then AI models from catalog
+pub fn get_options(task: Task, models: &[ModelDef]) -> Vec<BackendOption> {
+    let mut options = vec![
+        BackendOption {
+            id: "none".into(),
+            name: "Disabled".into(),
+            model_id: None,
+        },
+    ];
+
+    options.extend(code_backends(task));
+
+    for model in models {
+        if model.tasks.contains(&task) {
+            options.push(BackendOption {
+                id: model.id.clone(),
+                name: model.name.clone(),
+                model_id: Some(model.id.clone()),
+            });
+        }
+    }
+
+    options
+}
+
+pub fn is_valid_backend(task: Task, backend_id: &str, models: &[ModelDef]) -> bool {
+    if backend_id == "none" {
+        return true;
+    }
+
+    if code_backends(task).iter().any(|b| b.id == backend_id) {
+        return true;
+    }
+
+    models.iter().any(|m| m.id == backend_id && m.tasks.contains(&task))
+}
--- a/crates/jarvis-core/src/models/gliner_models.rs
+++ b/crates/jarvis-core/src/models/gliner_models.rs
@ -0,0 +1,130 @@
+use std::collections::HashMap;
+use std::fs;
+use crate::APP_DIR;
+
+const GLINER_DIRS: &[&str] = &["gliner_small-v2.1", "gliner_multi-v2.1"];
+
+#[derive(Debug, Clone)]
+pub struct GlinerModelVariant {
+    // type id stored in settings, e.g. "int8", "fp16", "full"
+    pub value: String,
+    // shown in dropdown, e.g. "int8 (174MB / 332MB)"
+    pub display_name: String,
+}
+
+// scan both model dirs and return a deduplicated list of model types
+pub fn scan_gliner_variants() -> Vec<GlinerModelVariant> {
+    let base = APP_DIR.join("resources").join("models");
+
+    // collect: type -> { dir_name -> size_mb }
+    let mut types: HashMap<String, HashMap<String, u64>> = HashMap::new();
+
+    for dir_name in GLINER_DIRS {
+        let onnx_dir = base.join(dir_name).join("onnx");
+        if !onnx_dir.exists() { continue; }
+
+        let entries = match fs::read_dir(&onnx_dir) {
+            Ok(e) => e,
+            Err(_) => continue,
+        };
+
+        for entry in entries.flatten() {
+            let path = entry.path();
+            let file_name = match path.file_name().and_then(|n| n.to_str()) {
+                Some(n) if n.ends_with(".onnx") => n.to_string(),
+                _ => continue,
+            };
+
+            let variant_type = file_name_to_type(&file_name);
+            let size_mb = fs::metadata(&path).map(|m| m.len()).unwrap_or(0) / (1024 * 1024);
+
+            types.entry(variant_type)
+                .or_default()
+                .insert(dir_name.to_string(), size_mb);
+        }
+    }
+
+    let mut result: Vec<GlinerModelVariant> = types.into_iter().map(|(variant, sizes)| {
+        let size_str = build_size_string(&sizes);
+        let label = if variant == "full" { "Full".to_string() } else { variant.clone() };
+        GlinerModelVariant {
+            display_name: format!("{} ({})", label, size_str),
+            value: variant,
+        }
+    }).collect();
+
+    // sort: full first, then alphabetically
+    result.sort_by(|a, b| {
+        let a_full = a.value == "full";
+        let b_full = b.value == "full";
+        b_full.cmp(&a_full).then_with(|| a.value.cmp(&b.value))
+    });
+
+    result
+}
+
+// "model.onnx" -> "full", "model_int8.onnx" -> "int8"
+fn file_name_to_type(name: &str) -> String {
+    let stem = name.strip_suffix(".onnx").unwrap_or(name);
+    if stem == "model" {
+        "full".to_string()
+    } else if let Some(variant) = stem.strip_prefix("model_") {
+        variant.to_string()
+    } else {
+        stem.to_string()
+    }
+}
+
+// build size display: "174MB" if only one dir, "small: 174MB / multi: 332MB" if both
+fn build_size_string(sizes: &HashMap<String, u64>) -> String {
+    if sizes.len() == 1 {
+        let (dir, mb) = sizes.iter().next().unwrap();
+        let short = short_dir_name(dir);
+        return format!("{}: {}MB", short, mb);
+    }
+
+    let mut parts: Vec<String> = Vec::new();
+    for dir_name in GLINER_DIRS {
+        if let Some(mb) = sizes.get(*dir_name) {
+            parts.push(format!("{}: {}MB", short_dir_name(dir_name), mb));
+        }
+    }
+    parts.join(" / ")
+}
+
+fn short_dir_name(dir: &str) -> &str {
+    if dir.contains("small") { "small" }
+    else if dir.contains("multi") { "multi" }
+    else { dir }
+}
+
+// resolve variant type + language into actual file path
+// returns (model_dir_path, onnx_file_name) or None
+pub fn resolve_model(variant: &str, language: &str) -> Option<(std::path::PathBuf, String)> {
+    let base = APP_DIR.join("resources").join("models");
+    let file_name = type_to_file_name(variant);
+
+    // pick dir based on language
+    let preferred: &[&str] = match language {
+        "en" => &["gliner_small-v2.1", "gliner_multi-v2.1"],
+        _ => &["gliner_multi-v2.1", "gliner_small-v2.1"],
+    };
+
+    for dir_name in preferred {
+        let path = base.join(dir_name).join("onnx").join(&file_name);
+        if path.exists() {
+            return Some((base.join(dir_name), file_name));
+        }
+    }
+
+    None
+}
+
+// "full" -> "model.onnx", "int8" -> "model_int8.onnx"
+fn type_to_file_name(variant: &str) -> String {
+    if variant == "full" || variant.is_empty() {
+        "model.onnx".to_string()
+    } else {
+        format!("model_{}.onnx", variant)
+    }
+}
--- a/crates/jarvis-core/src/models/loaders/embedding.rs
+++ b/crates/jarvis-core/src/models/loaders/embedding.rs
@ -0,0 +1,47 @@
+// fastembed embedding model (all-MiniLM-L6-v2, paraphrase-multilingual, etc.)
+
+use std::sync::Arc;
+use parking_lot::Mutex;
+use fastembed::{TextEmbedding, UserDefinedEmbeddingModel, TokenizerFiles, Pooling, QuantizationMode, OutputKey};
+
+use crate::models::registry::ModelRegistry;
+
+pub struct EmbeddingModel {
+    pub embedding: Mutex<TextEmbedding>,
+}
+
+// fastembed uses ORT internally which is thread-safe
+unsafe impl Send for EmbeddingModel {}
+unsafe impl Sync for EmbeddingModel {}
+
+pub fn load(registry: &ModelRegistry, model_id: &str) -> Result<Arc<EmbeddingModel>, String> {
+    registry.get_or_load::<EmbeddingModel>(model_id, |def| {
+        let model_dir = &def.path;
+
+        info!("Loading embedding model from: {}", model_dir.display());
+
+        let user_model = UserDefinedEmbeddingModel {
+            onnx_file: std::fs::read(model_dir.join("model.onnx"))
+                .map_err(|e| format!("Failed to read model.onnx: {}", e))?,
+            tokenizer_files: TokenizerFiles {
+                tokenizer_file: std::fs::read(model_dir.join("tokenizer.json"))
+                    .map_err(|e| format!("Failed to read tokenizer.json: {}", e))?,
+                config_file: std::fs::read(model_dir.join("config.json"))
+                    .map_err(|e| format!("Failed to read config.json: {}", e))?,
+                special_tokens_map_file: std::fs::read(model_dir.join("special_tokens_map.json"))
+                    .map_err(|e| format!("Failed to read special_tokens_map.json: {}", e))?,
+                tokenizer_config_file: std::fs::read(model_dir.join("tokenizer_config.json"))
+                    .map_err(|e| format!("Failed to read tokenizer_config.json: {}", e))?,
+            },
+            pooling: Some(Pooling::Mean),
+            quantization: QuantizationMode::None,
+            output_key: Some(OutputKey::ByName("last_hidden_state")),
+        };
+
+        let model = TextEmbedding::try_new_from_user_defined(user_model, Default::default())
+            .map_err(|e| format!("Failed to load embedding model: {}", e))?;
+
+        info!("Embedding model loaded: {}", def.name);
+        Ok(EmbeddingModel { embedding: Mutex::new(model) })
+    })
+}
--- a/crates/jarvis-core/src/models/loaders/gliner.rs
+++ b/crates/jarvis-core/src/models/loaders/gliner.rs
@ -0,0 +1,51 @@
+// GLiNER model for named entity recognition / slot extraction
+
+use std::sync::Arc;
+use parking_lot::Mutex;
+use regex::Regex;
+use tokenizers::Tokenizer;
+
+use crate::models::registry::ModelRegistry;
+
+const WORD_REGEX: &str = r"\w+(?:[-_]\w+)*|\S";
+
+pub struct GlinerModel {
+    pub session: Mutex<ort::session::Session>,
+    pub tokenizer: Tokenizer,
+    pub splitter: Regex,
+}
+
+unsafe impl Send for GlinerModel {}
+unsafe impl Sync for GlinerModel {}
+
+pub fn load(registry: &ModelRegistry, model_id: &str) -> Result<Arc<GlinerModel>, String> {
+    registry.get_or_load::<GlinerModel>(model_id, |def| {
+        let model_dir = &def.path;
+
+        // GLiNER models keep onnx files in an "onnx" subfolder
+        let onnx_dir = model_dir.join("onnx");
+        let model_path = if onnx_dir.exists() {
+            onnx_dir.join("model.onnx")
+        } else {
+            model_dir.join("model.onnx")
+        };
+
+        let tokenizer_path = model_dir.join("tokenizer.json");
+
+        info!("Loading GLiNER model from: {}", model_dir.display());
+
+        let session = ort::session::Session::builder()
+            .map_err(|e| format!("Failed to create ORT session builder: {}", e))?
+            .commit_from_file(&model_path)
+            .map_err(|e| format!("Failed to load ONNX model: {}", e))?;
+
+        let tokenizer = Tokenizer::from_file(&tokenizer_path)
+            .map_err(|e| format!("Failed to load tokenizer: {}", e))?;
+
+        let splitter = Regex::new(WORD_REGEX)
+            .map_err(|e| format!("Failed to compile word regex: {}", e))?;
+
+        info!("GLiNER model loaded: {}", def.name);
+        Ok(GlinerModel { session: Mutex::new(session), tokenizer, splitter })
+    })
+}
--- a/crates/jarvis-core/src/models/loaders/intent_classifier.rs
+++ b/crates/jarvis-core/src/models/loaders/intent_classifier.rs
@ -0,0 +1,30 @@
+// intent-classifier crate wrapper
+
+use std::sync::Arc;
+use intent_classifier::IntentClassifier;
+
+use crate::models::registry::ModelRegistry;
+
+pub struct IntentClassifierModel {
+    pub classifier: IntentClassifier,
+}
+
+unsafe impl Send for IntentClassifierModel {}
+unsafe impl Sync for IntentClassifierModel {}
+
+// init is async (IntentClassifier::new().await), so we create it
+// outside the registry and insert it after
+pub async fn load(registry: &ModelRegistry, model_id: &str) -> Result<Arc<IntentClassifierModel>, String> {
+    if let Some(existing) = registry.get::<IntentClassifierModel>(model_id) {
+        info!("IntentClassifier '{}' already loaded, reusing", model_id);
+        return Ok(existing);
+    }
+
+    info!("Initializing IntentClassifier...");
+
+    let classifier = IntentClassifier::new().await
+        .map_err(|e| format!("Failed to init IntentClassifier: {}", e))?;
+
+    info!("IntentClassifier initialized");
+    Ok(registry.insert(model_id, IntentClassifierModel { classifier }))
+}
--- a/crates/jarvis-core/src/models/loaders/mod.rs
+++ b/crates/jarvis-core/src/models/loaders/mod.rs
@ -0,0 +1,12 @@
+#[cfg(feature = "jarvis_app")]
+pub mod embedding;
+#[cfg(feature = "jarvis_app")]
+pub mod gliner;
+#[cfg(feature = "jarvis_app")]
+pub mod ort_model;
+#[cfg(feature = "jarvis_app")]
+pub mod intent_classifier;
+#[cfg(feature = "vosk")]
+pub mod vosk;
+#[cfg(feature = "nnnoiseless")]
+pub mod nnnoiseless;
--- a/crates/jarvis-core/src/models/loaders/nnnoiseless.rs
+++ b/crates/jarvis-core/src/models/loaders/nnnoiseless.rs
@ -0,0 +1,110 @@
+// nnnoiseless - used for both noise suppression and VAD.
+// each consumer needs its own DenoiseState (stateful per-stream),
+// so this doesn't go through the registry. just centralizes creation.
+
+use nnnoiseless::DenoiseState;
+use crate::config;
+
+// noise suppression instance
+pub struct NnnoiselessNS {
+    state: Box<DenoiseState<'static>>,
+    buffer: Vec<f32>,
+}
+
+impl NnnoiselessNS {
+    pub fn new() -> Self {
+        Self {
+            state: DenoiseState::new(),
+            buffer: Vec::with_capacity(config::NNNOISELESS_FRAME_SIZE * 2),
+        }
+    }
+
+    pub fn process(&mut self, input: &[i16]) -> Vec<i16> {
+        self.buffer.extend(input.iter().map(|&s| s as f32));
+
+        let frame_size = config::NNNOISELESS_FRAME_SIZE;
+        let full_frames = self.buffer.len() / frame_size;
+
+        if full_frames == 0 {
+            return input.to_vec();
+        }
+
+        let mut output: Vec<i16> = Vec::with_capacity(full_frames * frame_size);
+        let mut input_frame = [0.0f32; 480];
+        let mut output_frame = [0.0f32; 480];
+
+        let consumed = full_frames * frame_size;
+        for i in 0..full_frames {
+            let offset = i * frame_size;
+            input_frame.copy_from_slice(&self.buffer[offset..offset + frame_size]);
+
+            let _ = self.state.process_frame(&mut output_frame, &input_frame);
+
+            for &sample in &output_frame {
+                let clamped = sample.clamp(i16::MIN as f32, i16::MAX as f32);
+                output.push(clamped as i16);
+            }
+        }
+
+        // keep leftover samples (single drain at the end)
+        self.buffer.drain(..consumed);
+
+        output
+    }
+
+    pub fn reset(&mut self) {
+        self.buffer.clear();
+    }
+}
+
+// VAD instance
+pub struct NnnoiselessVAD {
+    state: Box<DenoiseState<'static>>,
+    buffer: Vec<f32>,
+}
+
+impl NnnoiselessVAD {
+    pub fn new() -> Self {
+        Self {
+            state: DenoiseState::new(),
+            buffer: Vec::with_capacity(config::NNNOISELESS_FRAME_SIZE * 2),
+        }
+    }
+
+    pub fn detect(&mut self, input: &[i16]) -> (bool, f32) {
+        self.buffer.extend(input.iter().map(|&s| s as f32));
+
+        let frame_size = config::NNNOISELESS_FRAME_SIZE;
+        let full_frames = self.buffer.len() / frame_size;
+
+        if full_frames == 0 {
+            return (true, 0.5);
+        }
+
+        let mut total_vad = 0.0f32;
+        let mut input_frame = [0.0f32; 480];
+        let mut output_frame = [0.0f32; 480];
+
+        let consumed = full_frames * frame_size;
+        for i in 0..full_frames {
+            let offset = i * frame_size;
+            input_frame.copy_from_slice(&self.buffer[offset..offset + frame_size]);
+
+            let vad_prob = self.state.process_frame(&mut output_frame, &input_frame);
+            total_vad += vad_prob;
+        }
+
+        // single drain
+        self.buffer.drain(..consumed);
+
+        let avg_vad = total_vad / full_frames as f32;
+        let is_voice = avg_vad >= config::VAD_NNNOISELESS_THRESHOLD;
+
+        (is_voice, avg_vad)
+    }
+
+    pub fn reset(&mut self) {
+        self.state = DenoiseState::new();
+        self.buffer.clear();
+    }
+}
--- a/crates/jarvis-core/src/models/loaders/ort_model.rs
+++ b/crates/jarvis-core/src/models/loaders/ort_model.rs
@ -0,0 +1,44 @@
+// generic ORT model - session + optional tokenizer.
+// for models like BERT (tiny, distil, mini) that can serve
+// multiple tasks (intent, NER, text classification, etc.)
+
+use std::sync::Arc;
+use parking_lot::Mutex;
+use tokenizers::Tokenizer;
+
+use crate::models::registry::ModelRegistry;
+
+pub struct OrtModel {
+    pub session: Mutex<ort::session::Session>,
+    pub tokenizer: Option<Tokenizer>,
+}
+
+unsafe impl Send for OrtModel {}
+unsafe impl Sync for OrtModel {}
+
+pub fn load(registry: &ModelRegistry, model_id: &str) -> Result<Arc<OrtModel>, String> {
+    registry.get_or_load::<OrtModel>(model_id, |def| {
+        let model_dir = &def.path;
+        let onnx_path = model_dir.join("model.onnx");
+
+        info!("Loading ORT model from: {}", model_dir.display());
+
+        let session = ort::session::Session::builder()
+            .map_err(|e| format!("ORT session builder error: {}", e))?
+            .commit_from_file(&onnx_path)
+            .map_err(|e| format!("Failed to load ONNX model '{}': {}", onnx_path.display(), e))?;
+
+        let tokenizer_path = model_dir.join("tokenizer.json");
+        let tokenizer = if tokenizer_path.exists() {
+            Some(
+                Tokenizer::from_file(&tokenizer_path)
+                    .map_err(|e| format!("Failed to load tokenizer: {}", e))?
+            )
+        } else {
+            None
+        };
+
+        info!("ORT model loaded: {}", def.name);
+        Ok(OrtModel { session: Mutex::new(session), tokenizer })
+    })
+}
--- a/crates/jarvis-core/src/models/loaders/vosk.rs
+++ b/crates/jarvis-core/src/models/loaders/vosk.rs
@ -0,0 +1,33 @@
+// vosk speech recognition model
+
+use std::sync::Arc;
+use vosk::Model;
+
+use crate::models::registry::ModelRegistry;
+
+pub struct VoskModel {
+    pub model: Model,
+}
+
+unsafe impl Send for VoskModel {}
+unsafe impl Sync for VoskModel {}
+
+// load a vosk model by path through the registry.
+// vosk models aren't in the catalog (they use their own directory structure),
+// so we pass the path directly and use model_id for dedup.
+// @ToDo: Consider moving to catalog
+pub fn load(registry: &ModelRegistry, model_id: &str, model_path: &str) -> Result<Arc<VoskModel>, String> {
+    // check if already loaded
+    if let Some(existing) = registry.get::<VoskModel>(model_id) {
+        info!("Vosk model '{}' already loaded, reusing", model_id);
+        return Ok(existing);
+    }
+
+    info!("Loading Vosk model from: {}", model_path);
+
+    let model = Model::new(model_path)
+        .ok_or_else(|| format!("Failed to load Vosk model from: {}", model_path))?;
+
+    info!("Vosk model loaded: {}", model_id);
+    Ok(registry.insert(model_id, VoskModel { model }))
+}
--- a/crates/jarvis-core/src/models/registry.rs
+++ b/crates/jarvis-core/src/models/registry.rs
@ -0,0 +1,108 @@
+use std::any::Any;
+use std::collections::HashMap;
+use std::sync::Arc;
+use parking_lot::{Mutex, RwLock};
+
+use super::structs::ModelDef;
+
+// central model registry. loads models once and shares them between components.
+// completely type-agnostic
+pub struct ModelRegistry {
+    loaded: Mutex<HashMap<String, Arc<dyn Any + Send + Sync>>>,
+    catalog: RwLock<Vec<ModelDef>>,
+}
+
+impl ModelRegistry {
+    pub fn new() -> Self {
+        Self {
+            loaded: Mutex::new(HashMap::new()),
+            catalog: RwLock::new(Vec::new()),
+        }
+    }
+
+    pub fn set_catalog(&self, defs: Vec<ModelDef>) {
+        *self.catalog.write() = defs;
+    }
+
+    // read access to catalog without cloning the whole vec
+    pub fn with_catalog<R>(&self, f: impl FnOnce(&[ModelDef]) -> R) -> R {
+        f(&self.catalog.read())
+    }
+
+    pub fn get_model_def(&self, id: &str) -> Option<ModelDef> {
+        self.catalog.read().iter().find(|m| m.id == id).cloned()
+    }
+
+    // get a loaded model, downcasted to the expected type
+    pub fn get<T: 'static + Send + Sync>(&self, id: &str) -> Option<Arc<T>> {
+        self.loaded.lock()
+            .get(id)?
+            .clone()
+            .downcast::<T>()
+            .ok()
+    }
+
+    // get or load a model. if two components request the same id,
+    // the model only loads once.
+    //
+    // the lock is released before calling the loader to avoid deadlocks
+    // if the loader tries to load a dependency through the registry.
+    pub fn get_or_load<T: 'static + Send + Sync>(
+        &self,
+        id: &str,
+        loader: impl FnOnce(&ModelDef) -> Result<T, String>,
+    ) -> Result<Arc<T>, String> {
+        // fast path: already loaded
+        if let Some(existing) = self.get::<T>(id) {
+            info!("Model '{}' already loaded, reusing", id);
+            return Ok(existing);
+        }
+
+        // grab model def (releases catalog lock immediately)
+        let def = self.get_model_def(id)
+            .ok_or_else(|| format!("Model '{}' not found in catalog", id))?;
+
+        // run loader without holding any lock
+        info!("Loading model '{}' from {:?}...", id, def.path);
+        let model = loader(&def)?;
+        let arc = Arc::new(model);
+
+        // insert (check again in case another thread loaded it meanwhile)
+        let mut map = self.loaded.lock();
+        if let Some(existing) = map.get(id) {
+            if let Ok(typed) = existing.clone().downcast::<T>() {
+                info!("Model '{}' was loaded by another thread, reusing", id);
+                return Ok(typed);
+            }
+        }
+
+        map.insert(id.to_string(), arc.clone());
+        info!("Model '{}' loaded and registered", id);
+
+        Ok(arc)
+    }
+
+    // insert a model directly (for models not in the catalog,
+    // or loaded through non-standard means like async init)
+    pub fn insert<T: 'static + Send + Sync>(&self, id: &str, model: T) -> Arc<T> {
+        let arc = Arc::new(model);
+        self.loaded.lock().insert(id.to_string(), arc.clone());
+        arc
+    }
+
+    pub fn unload(&self, id: &str) -> bool {
+        let removed = self.loaded.lock().remove(id).is_some();
+        if removed {
+            info!("Model '{}' unloaded from registry", id);
+        }
+        removed
+    }
+
+    pub fn is_loaded(&self, id: &str) -> bool {
+        self.loaded.lock().contains_key(id)
+    }
+
+    pub fn loaded_ids(&self) -> Vec<String> {
+        self.loaded.lock().keys().cloned().collect()
+    }
+}
--- a/crates/jarvis-core/src/models/structs.rs
+++ b/crates/jarvis-core/src/models/structs.rs
@ -0,0 +1,38 @@
+use std::path::PathBuf;
+use serde::{Serialize, Deserialize};
+
+// tasks that components can request a backend for
+#[derive(Debug, Clone, Copy, PartialEq, Eq, Hash, Serialize, Deserialize)]
+#[serde(rename_all = "snake_case")]
+pub enum Task {
+    Intent,
+    Slots,
+    Vad,
+    NoiseSuppression,
+    Stt,
+}
+
+// metadata about a model, parsed from model.toml on disk
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct ModelDef {
+    pub id: String,
+    pub name: String,
+    pub tasks: Vec<Task>,
+
+    #[serde(default)]
+    pub description: String,
+
+    // set at runtime after scanning the folder
+    #[serde(skip)]
+    pub path: PathBuf,
+}
+
+// a selectable option for a task (shown in UI / stored in settings)
+#[derive(Debug, Clone, Serialize)]
+pub struct BackendOption {
+    pub id: String,
+    pub name: String,
+    // if Some, this option uses a model from the registry.
+    // if None, it's a code-only backend (like energy VAD) or disabled.
+    pub model_id: Option<String>,
+}
--- a/crates/jarvis-core/src/models/vosk_models.rs
+++ b/crates/jarvis-core/src/models/vosk_models.rs
@ -0,0 +1,113 @@
+use std::fs;
+use std::path::{Path, PathBuf};
+
+use crate::{APP_DIR, config};
+
+#[derive(Debug, Clone)]
+pub struct VoskModelInfo {
+    pub name: String,       // folder name: "vosk-model-small-ru-0.22"
+    pub path: PathBuf,      // full path
+    pub language: String,   // extracted from name: "ru"
+    pub size: String,       // "small", "large", etc.
+}
+
+// Scan for available Vosk models
+pub fn scan_vosk_models() -> Vec<VoskModelInfo> {
+    let models_dir = {
+        APP_DIR.join(config::VOSK_MODELS_PATH)
+    };
+    let mut models = Vec::new();
+    
+    info!("VOSK MODELS DIR: {}", models_dir.display());
+
+    if !models_dir.exists() {
+        warn!("Vosk models directory not found: {}", models_dir.display());
+        return models;
+    }
+    
+    let entries = match fs::read_dir(models_dir) {
+        Ok(e) => e,
+        Err(e) => {
+            warn!("Failed to read vosk models directory: {}", e);
+            return models;
+        }
+    };
+    
+    for entry in entries {
+        let entry = match entry {
+            Ok(e) => e,
+            Err(_) => continue,
+        };
+        
+        let path = entry.path();
+        
+        // must be a directory
+        if !path.is_dir() {
+            continue;
+        }
+        
+        // check if it looks like a vosk model (has am/conf/graph folders or similar)
+        if !is_vosk_model(&path) {
+            continue;
+        }
+        
+        let name = path.file_name()
+            .and_then(|n| n.to_str())
+            .unwrap_or("")
+            .to_string();
+        
+        let (language, size) = parse_model_name(&name);
+        
+        models.push(VoskModelInfo {
+            name,
+            path,
+            language,
+            size,
+        });
+    }
+    
+    models.sort_by(|a, b| a.name.cmp(&b.name));
+    models
+}
+
+// Check if directory looks like a Vosk model
+fn is_vosk_model(path: &Path) -> bool {
+    // vosk models typically have these subdirectories
+    path.join("am").exists() || 
+    path.join("conf").exists() || 
+    path.join("graph").exists() ||
+    path.join("ivector").exists()
+}
+
+// Extract language and size from model name
+// e.g., "vosk-model-small-ru-0.22" -> ("ru", "small")
+fn parse_model_name(name: &str) -> (String, String) {
+    let parts: Vec<&str> = name.split('-').collect();
+    
+    let mut language = String::from("unknown");
+    let mut size = String::from("unknown");
+    
+    // look for common size indicators
+    for part in &parts {
+        match *part {
+            "small" | "big" | "large" | "lgraph" => size = part.to_string(),
+            // language codes are usually 2 letters
+            s if s.len() == 2 && s.chars().all(|c| c.is_alphabetic()) => {
+                language = s.to_string();
+            }
+            _ => {}
+        }
+    }
+    
+    (language, size)
+}
+
+// Get model path by name
+pub fn get_model_path(model_name: &str) -> Option<PathBuf> {
+    let path = Path::new(config::VOSK_MODELS_PATH).join(model_name);
+    if path.exists() && path.is_dir() {
+        Some(path)
+    } else {
+        None
+    }
+}
--- a/crates/jarvis-core/src/recorder.rs
+++ b/crates/jarvis-core/src/recorder.rs
@ -0,0 +1,171 @@
+mod pvrecorder;
+
+// mod cpal;
+// mod portaudio;
+
+use once_cell::sync::OnceCell;
+
+use crate::{config, config::structs::RecorderType, DB};
+
+static RECORDER_TYPE: OnceCell<RecorderType> = OnceCell::new();
+static FRAME_LENGTH: OnceCell<u32> = OnceCell::new();
+
+pub fn init() -> Result<(), ()> {
+    // set default recorder type
+    // @TODO. Make it configurable?
+    RECORDER_TYPE.set(config::DEFAULT_RECORDER_TYPE).unwrap();
+
+    // some info
+    info!("Loading recorder ...");
+    info!("Available audio_devices are:\n{:?}", get_audio_devices());
+
+    // load given recorder
+    match RECORDER_TYPE.get().unwrap() {
+        RecorderType::PvRecorder => {
+            // Init Pv Recorder
+            info!("Initializing PvRecorder recording backend.");
+            FRAME_LENGTH.set(512u32).unwrap(); // pvrecorder requires frame buffer of 512
+            let selected_microphone = get_selected_microphone_index();
+            match pvrecorder::init_microphone(
+                selected_microphone,
+                FRAME_LENGTH.get().unwrap().to_owned(),
+            ) {
+                false => {
+                    error!("Recorder initialization failed.");
+
+                    return Err(());
+                }
+                _ => {
+                    info!(
+                        "Recorder initialization success. Listening to microphone ({}): {}",
+                        selected_microphone,
+                        get_audio_device_name(selected_microphone)
+                    );
+                }
+            }
+        }
+        RecorderType::PortAudio => {
+            // Init PortAudio
+            info!("Initializing PortAudio recording backend");
+            todo!();
+            // match portaudio::init_microphone(get_selected_microphone_index(), FRAME_LENGTH.load(Ordering::SeqCst)) {
+            //     false => {
+            //         // Switch to PortAudio recorder
+            //         error!("PortAudio audio backend failed.");
+            //     },
+            //     _ => ()
+            // }
+        }
+        RecorderType::Cpal => {
+            // Init CPAL
+            info!("Initializing CPAL recording backend");
+            todo!();
+            // match cpal::init_microphone(get_selected_microphone_index(), FRAME_LENGTH.load(Ordering::SeqCst)) {
+            //     false => {
+            //         // Switch to CPAL recorder
+            //         error!("CPAL audio backend failed.");
+            //     },
+            //     _ => ()
+            // }
+        }
+    }
+
+    Ok(())
+}
+
+pub fn read_microphone(frame_buffer: &mut [i16]) {
+    match RECORDER_TYPE.get().unwrap() {
+        RecorderType::PvRecorder => {
+            pvrecorder::read_microphone(frame_buffer);
+        }
+        RecorderType::PortAudio => {
+            todo!();
+            // portaudio::read_microphone(frame_buffer);
+        }
+        RecorderType::Cpal => {
+            // cpal::read_microphone(frame_buffer);
+            panic!("Cpal should be used via callback assignment");
+        }
+    }
+}
+
+pub fn start_recording() -> Result<(), ()> {
+    match RECORDER_TYPE.get().unwrap() {
+        RecorderType::PvRecorder => {
+            return pvrecorder::start_recording(
+                get_selected_microphone_index(),
+                FRAME_LENGTH.get().unwrap().to_owned(),
+            );
+        }
+        RecorderType::PortAudio => {
+            todo!();
+            // portaudio::start_recording(get_selected_microphone_index(), FRAME_LENGTH.load(Ordering::SeqCst));
+        }
+        RecorderType::Cpal => {
+            todo!();
+            // cpal::start_recording(get_selected_microphone_index(), FRAME_LENGTH.load(Ordering::SeqCst));
+        }
+    }
+}
+
+pub fn stop_recording() -> Result<(), ()> {
+    match RECORDER_TYPE.get().unwrap() {
+        RecorderType::PvRecorder => pvrecorder::stop_recording(),
+        RecorderType::PortAudio => {
+            todo!();
+            // portaudio::stop_recording();
+        }
+        RecorderType::Cpal => {
+            todo!();
+            // cpal::stop_recording();
+        }
+    }
+}
+
+pub fn get_selected_microphone_index() -> i32 {
+    let idx = DB.get().unwrap().read().microphone;
+
+    if idx > 0 {
+        // validate that this microphone is actually in the list
+        let devices = get_audio_devices();
+        if (idx as usize) >= devices.len() {
+            warn!("Microphone index {} not found ({} available), falling back to default", 
+                idx, devices.len());
+            return -1;
+        }
+    }
+    
+    idx
+}
+
+pub fn get_audio_devices() -> Vec<String> {
+    match RECORDER_TYPE.get() {
+        Some(RecorderType::PvRecorder) => pvrecorder::list_audio_devices(),
+        Some(RecorderType::PortAudio) => {
+            todo!();
+        }
+        Some(RecorderType::Cpal) => {
+            todo!();
+        }
+        None => {
+            // not initialized yet, default to pvrecorder
+            pvrecorder::list_audio_devices()
+        }
+    }
+}
+
+pub fn get_audio_device_name(idx: i32) -> String {
+    match RECORDER_TYPE.get() {
+        Some(RecorderType::PvRecorder) => pvrecorder::get_audio_device_name(idx),
+        Some(RecorderType::PortAudio) => {
+            todo!();
+        }
+        Some(RecorderType::Cpal) => {
+            todo!();
+        }
+        None => {
+            // not initialized yet, default to pvrecorder
+            pvrecorder::get_audio_device_name(idx)
+        }
+    }
+}
--- a/crates/jarvis-core/src/recorder/cpal.rs
+++ b/crates/jarvis-core/src/recorder/cpal.rs
@ -0,0 +1,191 @@
+/*
+    Abandoned temporary.
+    Problems with frame size.
+*/
+
+use cpal::traits::{DeviceTrait, HostTrait, StreamTrait};
+use cpal::{BufferSize, StreamConfig, SampleRate, Host, Device, Stream, SampleFormat};
+use log::{info, warn, error};
+
+use once_cell::sync::OnceCell;
+use std::sync::Arc;
+use arc_swap::ArcSwap;
+use std::sync::atomic::{AtomicBool, AtomicI32, AtomicU32, Ordering};
+
+use crate::tauri_commands::cpal_data_callback;
+
+static HOST: OnceCell<Host> = OnceCell::new();
+thread_local!(static RECORDER: OnceCell<ArcSwap<Stream>> = OnceCell::new());
+static SELECTED_MICROPHONE_IDX: AtomicI32 = AtomicI32::new(0);
+static FRAME_LENGTH: AtomicU32 = AtomicU32::new(0);
+static IS_RECORDING: AtomicBool = AtomicBool::new(false);
+
+pub fn init_microphone(device_index: i32, frame_length: u32) -> bool {
+    // init host & frame buffer for the callback
+    if HOST.get().is_none() {
+        HOST.set(cpal::default_host());
+
+        // FRAME_BUFFER.set(Mutex::new(vec![0; FRAME_LENGTH.load(Ordering::SeqCst) as usize]));
+    }
+
+    // init microphone
+    RECORDER.with(|recorder| {
+        match recorder.get().is_none() {
+            true => {
+                if let Some(device) = get_device(device_index as usize) {
+                    // store
+                    recorder.set(ArcSwap::from_pointee(create_stream(device, frame_length)));
+    
+                    // remember current configuration
+                    SELECTED_MICROPHONE_IDX.store(device_index, Ordering::SeqCst);
+                    FRAME_LENGTH.store(frame_length, Ordering::SeqCst);
+    
+                    // success
+                    true
+                } else {
+                    false
+                }
+            },
+            false => {
+                // check if re-initialization required (i.e. selecetd microphoneor frame-length was changed )
+                if SELECTED_MICROPHONE_IDX.load(Ordering::SeqCst) != device_index
+                   ||
+                   FRAME_LENGTH.load(Ordering::SeqCst) != frame_length {
+                    warn!("Selected microphone or frame length was changed, re-initializing ...");
+                    // initialize again with new device index
+                    if IS_RECORDING.load(Ordering::SeqCst) {
+                        stop_recording();
+                    }
+    
+                    // remember new configuration
+                    SELECTED_MICROPHONE_IDX.store(device_index, Ordering::SeqCst);
+                    FRAME_LENGTH.store(frame_length, Ordering::SeqCst);
+    
+                    if let Some(device) = get_device(device_index as usize) {
+                        // store
+                        recorder.get().unwrap().store(Arc::new(create_stream(device, frame_length)));
+    
+                        // success
+                        return true
+                    } else {
+                        return false
+                    }
+                }
+    
+                // success
+                true
+            }
+        }
+    })
+}
+
+fn create_stream(device: Device, frame_length: u32) -> Stream {
+    // get default input stream config
+    // let default_config = device.default_input_config().unwrap();
+
+    // create config for the stream
+    // let config: StreamConfig = StreamConfig {
+    //     channels: default_config.channels(),
+    //     sample_rate: SampleRate(16000),
+    //     buffer_size: BufferSize::Fixed(frame_length)
+    // };
+
+    let config = device
+        .default_input_config()
+        .expect("Failed to load default input config");
+
+    let channels = config.channels();
+
+    let err_fn = move |err| {
+        eprintln!("an error occurred on stream: {}", err);
+    };
+
+    match config.sample_format() {
+        SampleFormat::F32 => device.build_input_stream(
+            &config.into(),
+            move |data: &[f32], info| {
+                cpal_data_callback(data, channels);
+            },
+            err_fn,
+            None
+        ),
+        SampleFormat::U16 => device.build_input_stream(
+            &config.into(),
+            move |data: &[u16], info| {
+                cpal_data_callback(data, channels);
+            },
+            err_fn,
+            None
+        ),
+        SampleFormat::I16 => device.build_input_stream(
+            &config.into(),
+            move |data: &[i16], info| {
+                cpal_data_callback(data, channels);
+            },
+            err_fn,
+            None
+        ),
+        _ => todo!()
+    }.unwrap()
+}
+
+pub fn stereo_to_mono(input_data: &[i16]) -> Vec<i16> {
+    let mut result = Vec::with_capacity(input_data.len() / 2);
+    result.extend(
+        input_data
+            .chunks_exact(2)
+            .map(|chunk| chunk[0] / 2 + chunk[1] / 2),
+    );
+
+    result
+}
+
+fn get_device(device_index: usize) -> Option<Device> {
+    if let Some(device) = HOST.get().unwrap().input_devices().expect("Get devices error ...").nth(device_index) {
+        Some(device)
+    } else {
+        if let Some(default) = HOST.get().unwrap().default_input_device() {
+            Some(default)
+        } else {
+            error!("No default input device ...");
+
+            None
+        }
+    }
+}
+
+pub fn start_recording(device_index: i32, frame_length: u32) {
+    // ensure microphone is initialized
+    init_microphone(device_index, frame_length);
+
+    // start recording
+    RECORDER.with(|recorder| {
+        match recorder.get().unwrap().load().play() {
+            Err(msg) => {
+                error!("[CPAL] Audio stream PLAY error ... {:?}", msg);
+            },
+            _ => ()
+        };
+
+        IS_RECORDING.store(true, Ordering::SeqCst);
+        info!("START recording from microphone ...");
+    });
+}
+
+pub fn stop_recording() {
+    // ensure microphone is initialized
+    RECORDER.with(|recorder| {
+        if recorder.get().is_some() && IS_RECORDING.load(Ordering::SeqCst) {
+            // pause instead of stop
+            match recorder.get().unwrap().load().pause() {
+                Err(msg) => {
+                    error!("[CPAL] Audio stream PAUSE error ... {:?}", msg);
+                },
+                _ => ()
+            };
+
+            IS_RECORDING.store(false, Ordering::SeqCst);
+            info!("STOP recording from microphone ...");
+        }
+    });
+}
--- a/crates/jarvis-core/src/recorder/portaudio.rs
+++ b/crates/jarvis-core/src/recorder/portaudio.rs
@ -0,0 +1,205 @@
+/*
+    Abandoned temporary.
+*/
+
+use portaudio as pa;
+use pa::{DeviceIndex, Stream};
+use log::{info, warn, error};
+
+use once_cell::sync::OnceCell;
+use std::sync::{Arc, Mutex};
+use arc_swap::ArcSwap;
+use std::sync::atomic::{AtomicBool, AtomicI32, AtomicU32, Ordering};
+ 
+thread_local!(static RECORDER: OnceCell<ArcSwap<Mutex<Stream<pa::Blocking<pa::stream::Buffer>, pa::Input<i16>>>>> = OnceCell::new());
+static SELECTED_MICROPHONE_IDX: AtomicI32 = AtomicI32::new(0);
+static FRAME_LENGTH: AtomicU32 = AtomicU32::new(0);
+static IS_RECORDING: AtomicBool = AtomicBool::new(false);
+
+const CHANNELS: i32 = 1;
+const SAMPLE_RATE: f64 = 16_000.0;
+
+pub fn init_microphone(device_index: i32, frame_length: u32) -> bool {
+    RECORDER.with(|r| {
+        match r.get().is_none() {
+            true => {
+                match create_stream(device_index, frame_length) {
+                    Ok(stream) => {
+                        // store
+                        r.set(ArcSwap::from_pointee(Mutex::new(stream)));
+    
+                        // remember current configuration
+                        SELECTED_MICROPHONE_IDX.store(device_index, Ordering::SeqCst);
+                        FRAME_LENGTH.store(frame_length, Ordering::SeqCst);
+    
+                        // success
+                        true
+                    },
+                    Err(msg) => {
+                        error!("Failed to initialize portaudio.\nError details: {:?}", msg);
+    
+                        // fail
+                        false
+                    }
+                }
+            },
+            _ => {
+                // check if re-initialization required (i.e. selecetd microphoneor frame-length was changed )
+                if SELECTED_MICROPHONE_IDX.load(Ordering::SeqCst) != device_index
+                   ||
+                   FRAME_LENGTH.load(Ordering::SeqCst) != frame_length {
+                    warn!("Selected microphone or frame length was changed, re-initializing ...");
+                    // initialize again with new device index
+                    if IS_RECORDING.load(Ordering::SeqCst) {
+                        // RECORDER.get().unwrap().load().stop().expect("Failed to start audio recording!");
+                        stop_recording();
+                    }
+
+                    // store
+                    match create_stream(device_index, frame_length) {
+                        Ok(stream) => {
+                            // store new stream
+                            r.get().unwrap().store(Arc::new(Mutex::new(stream)));
+        
+                            // remember new configuration
+                            SELECTED_MICROPHONE_IDX.store(device_index, Ordering::SeqCst);
+                            FRAME_LENGTH.store(frame_length, Ordering::SeqCst);
+        
+                            // success
+                            return true
+                        },
+                        Err(msg) => {
+                            error!("Failed to initialize portaudio.\nError details: {:?}", msg);
+        
+                            // fail
+                            return false
+                        }
+                    }
+                }
+    
+                // success
+                true
+            }
+        }
+    })
+}
+
+fn create_stream(device_index: i32, frame_length: u32) -> Result<Stream<pa::Blocking<pa::stream::Buffer>, pa::Input<i16>>, pa::Error> {
+    let pa_recorder: Result<pa::PortAudio, pa::Error> = pa::PortAudio::new();
+    
+    match pa_recorder {
+        Ok(pa) => {
+            let input_settings = match get_input_settings(DeviceIndex(device_index as u32), &pa, SAMPLE_RATE, frame_length, CHANNELS) {
+                Ok(settings) => settings,
+                Err(error) => panic!("{}", String::from(error))
+            };
+        
+            // Construct a stream with input and output sample types of i16
+            match pa.open_blocking_stream(input_settings) {
+                Ok(strm) => Ok(strm),
+                Err(error) => panic!("{}", error.to_string()),
+            }
+        },
+        Err(msg) => Err(msg)
+    }
+}
+
+fn get_input_latency(audio_port: &pa::PortAudio, input_index: pa::DeviceIndex) -> Result<f64, String>
+{
+    let input_device_information = audio_port.device_info(input_index).or_else(|error| Err(String::from(format!("{}", error))));
+    Ok(input_device_information.unwrap().default_low_input_latency)
+}
+
+fn get_input_stream_parameters(input_index: pa::DeviceIndex, latency: f64, channels: i32) -> Result<pa::StreamParameters<i16>, String>
+{
+    const INTERLEAVED: bool = true;
+    Ok(pa::StreamParameters::<i16>::new(input_index, channels, INTERLEAVED, latency))
+}
+
+fn get_input_settings(input_index: pa::DeviceIndex, audio_port: &pa::PortAudio, sample_rate: f64, frames: u32, channels: i32) -> Result<pa::InputStreamSettings<i16>, String>
+{
+    Ok(
+        pa::InputStreamSettings::new(
+            (get_input_stream_parameters(
+                input_index,
+                (get_input_latency(
+                    &audio_port,
+                    input_index,
+                ))?,
+                channels
+            ))?,
+            sample_rate,
+            frames,
+        )
+    )
+}
+
+// We'll use this function to wait for read/write availability.
+fn wait_for_stream<F>(f: F, name: &str) -> u32
+where
+    F: Fn() -> Result<pa::StreamAvailable, pa::error::Error>,
+{
+    loop {
+        match f() {
+            Ok(available) => match available {
+                pa::StreamAvailable::Frames(frames) => return frames as u32,
+                pa::StreamAvailable::InputOverflowed => println!("Input stream has overflowed"),
+                pa::StreamAvailable::OutputUnderflowed => {
+                    println!("Output stream has underflowed")
+                }
+            },
+            Err(err) => panic!(
+                "An error occurred while waiting for the {} stream: {}",
+                name, err
+            ),
+        }
+    }
+}
+
+pub fn read_microphone(frame_buffer: &mut [i16]) {
+    // ensure microphone is initialized
+    RECORDER.with(|r| {
+        if r.get().is_some() {
+            let cell = r.get().unwrap().load();
+            let mut lock = cell.lock();
+            let stream = lock.as_mut().unwrap();
+
+            // read to frame buffer
+            let in_frames = wait_for_stream(|| stream.read_available(), "Read");
+
+            if in_frames > 0 {
+                // let input_samples = stream.read(in_frames).expect("Cannot read frames ...");
+                // println!("Read {:?} frames from the input stream.", in_frames);
+
+                let input_samples = stream.read(in_frames).expect("Cannot read frames ...");
+                println!("Read: {} (required {})", input_samples.len(), frame_buffer.len());
+                frame_buffer.copy_from_slice(input_samples.chunks(frame_buffer.len()).last().unwrap());
+            }
+            // r.get().unwrap().load().read(frame_buffer).expect("Failed to read audio frame");
+        }
+    });
+}
+
+pub fn start_recording(device_index: i32, frame_length: u32) {
+    // ensure microphone is initialized
+    init_microphone(device_index, frame_length);
+
+    // start recording
+    RECORDER.with(|r| {
+        r.get().unwrap().load().lock().unwrap().start().expect("Failed to start audio recording!");
+        IS_RECORDING.store(true, Ordering::SeqCst);
+        info!("START recording from microphone ...");
+    });
+}
+
+pub fn stop_recording() {
+    RECORDER.with(|r| {
+        if r.get().is_some() && IS_RECORDING.load(Ordering::SeqCst) {
+            // stop recording
+            let pa = r.get().unwrap().load();
+            r.get().unwrap().load().lock().unwrap().stop().expect("Failed to stop audio recording!");
+            IS_RECORDING.store(false, Ordering::SeqCst);
+            info!("STOP recording from microphone ...");
+        }
+    });
+}
--- a/crates/jarvis-core/src/recorder/pvrecorder.rs
+++ b/crates/jarvis-core/src/recorder/pvrecorder.rs
@ -0,0 +1,136 @@
+use once_cell::sync::OnceCell;
+use pv_recorder::{PvRecorder, PvRecorderBuilder};
+use std::sync::atomic::{AtomicBool, Ordering};
+
+static RECORDER: OnceCell<PvRecorder> = OnceCell::new();
+static IS_RECORDING: AtomicBool = AtomicBool::new(false);
+
+pub fn init_microphone(device_index: i32, frame_length: u32) -> bool {
+    if RECORDER.get().is_some() {
+        return true; // already initialized
+    }
+    
+    // initialize
+    let pv_recorder = PvRecorderBuilder::new(frame_length as i32)
+        .device_index(device_index)
+        // .frame_length(frame_length as i32)
+        .init();
+
+    match pv_recorder {
+        Ok(pv) => {
+            // store
+            let _ = RECORDER.set(pv);
+
+            // success
+            true
+        }
+        Err(msg) => {
+            error!("Failed to initialize pvrecorder.\nError details: {:?}", msg);
+
+            // fail
+            false
+        }
+    }
+}
+
+pub fn read_microphone(frame_buffer: &mut [i16]) {
+    // ensure microphone is initialized
+    if RECORDER.get().is_some() {
+        // read to frame buffer
+
+        let frame = RECORDER.get().unwrap().read();
+
+        match frame {
+            Ok(f) => {
+                frame_buffer.copy_from_slice(f.as_slice());
+            }
+            Err(msg) => {
+                // @TODO: Fix? PvRecorder always wait for PCM buffer size of 512.
+                error!("Failed to read audio frame. {:?}", msg);
+            }
+        }
+    }
+}
+
+pub fn start_recording(device_index: i32, frame_length: u32) -> Result<(), ()> {
+    // ensure microphone is initialized
+    init_microphone(device_index, frame_length);
+
+    // start recording
+    match RECORDER.get().unwrap().start() {
+        Ok(_) => {
+            info!("START recording from microphone ...");
+
+            // change recording state
+            IS_RECORDING.store(true, Ordering::SeqCst);
+
+            // success
+            Ok(())
+        }
+        Err(msg) => {
+            error!("Failed to START audio recording: {}", msg);
+
+            // fail
+            Err(())
+        }
+    }
+}
+
+pub fn stop_recording() -> Result<(), ()> {
+    // ensure microphone is initialized & recording is in process
+    if RECORDER.get().is_some() && IS_RECORDING.load(Ordering::SeqCst) {
+        // stop recording
+        match RECORDER.get().unwrap().stop() {
+            Ok(_) => {
+                info!("STOP recording from microphone ...");
+
+                // change recording state
+                IS_RECORDING.store(false, Ordering::SeqCst);
+
+                // success
+                return Ok(());
+            }
+            Err(msg) => {
+                error!("Failed to STOP audio recording: {}", msg);
+
+                // fail
+                return Err(());
+            }
+        }
+    }
+
+    Ok(()) // if already stopped or not yet initialized
+}
+
+pub fn list_audio_devices() -> Vec<String> {
+    let audio_devices = PvRecorderBuilder::default().get_available_devices();
+    match audio_devices {
+        Ok(audio_devices) => audio_devices,
+        Err(err) => {
+            error!("Failed to get audio devices: {}", err);
+            Vec::new()
+        },
+    }
+}
+
+pub fn get_audio_device_name(idx: i32) -> String {
+    if idx == -1 {
+        return String::from("System Default");
+    }
+
+    let audio_devices = list_audio_devices();
+    let mut first_device: String = String::new();
+
+    for (_idx, device) in audio_devices.iter().enumerate() {
+        if idx as usize == _idx {
+            return device.to_string();
+        }
+
+        if _idx == 0 {
+            first_device = device.to_string()
+        }
+    }
+
+    // return first device as default, if none were matched
+    first_device
+}
--- a/crates/jarvis-core/src/slots.rs
+++ b/crates/jarvis-core/src/slots.rs
@ -0,0 +1,58 @@
+mod gliner;
+
+use std::collections::HashMap;
+use once_cell::sync::OnceCell;
+
+use crate::commands::{SlotDefinition, SlotValue};
+use crate::{models, DB};
+
+static BACKEND: OnceCell<String> = OnceCell::new();
+
+pub fn init() -> Result<(), String> {
+    if BACKEND.get().is_some() {
+        return Ok(());
+    }
+
+    let backend = DB.get()
+        .map(|db| db.read().slots_backend.clone())
+        .unwrap_or_else(|| "none".to_string());
+
+    BACKEND.set(backend.clone()).map_err(|_| "Slot backend already set")?;
+
+    match backend.as_str() {
+        "none" => {
+            info!("Slot extraction disabled");
+        }
+        // any model ID is treated as a GLiNER model for now
+        model_id => {
+            info!("Initializing GLiNER slot extraction with model '{}'.", model_id);
+            let model = models::gliner::load(models::registry(), model_id)?;
+            gliner::init_with_model(model)?;
+            info!("GLiNER slot extraction initialized.");
+        }
+    }
+
+    Ok(())
+}
+
+pub fn extract(
+    text: &str,
+    slots: &HashMap<String, SlotDefinition>,
+) -> HashMap<String, SlotValue> {
+    if slots.is_empty() {
+        return HashMap::new();
+    }
+
+    match BACKEND.get().map(|s| s.as_str()).unwrap_or("none") {
+        "none" => HashMap::new(),
+        _ => {
+            match gliner::extract(text, slots) {
+                Ok(result) => result,
+                Err(e) => {
+                    error!("GLiNER slot extraction failed: {}", e);
+                    HashMap::new()
+                }
+            }
+        }
+    }
+}
--- a/crates/jarvis-core/src/slots/gliner.rs
+++ b/crates/jarvis-core/src/slots/gliner.rs
@ -0,0 +1,395 @@
+// BASED ON: gline-rs crate source code
+// https://github.com/fbilhaut/gline-rs
+
+use std::collections::HashMap;
+use std::sync::Arc;
+use once_cell::sync::OnceCell;
+use ndarray::Array;
+use ort::value::Tensor;
+
+use crate::commands::{SlotDefinition, SlotValue};
+use crate::models::gliner::GlinerModel;
+
+static MODEL: OnceCell<Arc<GlinerModel>> = OnceCell::new();
+
+// GLiNER defaults
+const THRESHOLD: f32 = 0.3;
+const MAX_WIDTH: usize = 12;
+const MAX_LENGTH: usize = 512;
+const MIN_CONFIDENCE: f32 = 0.4;
+
+pub fn init_with_model(model: Arc<GlinerModel>) -> Result<(), String> {
+    MODEL.set(model).map_err(|_| "GLiNER model already initialized".to_string())?;
+    info!("GLiNER slot extraction ready");
+    Ok(())
+}
+
+// word splitting
+
+struct WordToken<'a> {
+    start: usize,
+    end: usize,
+    text: &'a str,
+}
+
+fn split_words<'a>(text: &'a str, model: &GlinerModel, limit: Option<usize>) -> Vec<WordToken<'a>> {
+    let mut tokens = Vec::new();
+    for m in model.splitter.find_iter(text) {
+        tokens.push(WordToken {
+            start: m.start(),
+            end: m.end(),
+            text: m.as_str(),
+        });
+        if let Some(lim) = limit {
+            if tokens.len() >= lim { break; }
+        }
+    }
+    tokens
+}
+
+// prompt construction
+//
+// GLiNER prompt format:
+//   [<<ENT>>, label1_w1, label1_w2, <<ENT>>, label2_w1, ..., <<SEP>>, word1, word2, ..., wordN]
+
+fn build_prompt(entities: &[&str], words: &[WordToken]) -> (Vec<String>, usize) {
+    let mut prompt = Vec::with_capacity(entities.len() * 2 + 1 + words.len());
+
+    for entity in entities {
+        prompt.push("<<ENT>>".to_string());
+        prompt.push(entity.to_string());
+    }
+    prompt.push("<<SEP>>".to_string());
+
+    let entities_len = prompt.len();
+
+    for w in words {
+        prompt.push(w.text.to_string());
+    }
+
+    (prompt, entities_len)
+}
+
+// encoding
+
+struct EncodedBatch {
+    input_ids: ndarray::Array2<i64>,
+    attention_masks: ndarray::Array2<i64>,
+    word_masks: ndarray::Array2<i64>,
+    text_lengths: ndarray::Array2<i64>,
+    num_words: usize,
+}
+
+fn encode_single(
+    model: &GlinerModel,
+    entities: &[&str],
+    words: &[WordToken],
+) -> Result<EncodedBatch, String> {
+    let (prompt, ent_len) = build_prompt(entities, words);
+    let text_word_count = words.len();
+
+    let mut word_encodings: Vec<Vec<u32>> = Vec::with_capacity(prompt.len());
+    let mut total_tokens: usize = 2; // BOS + EOS
+    let mut entity_tokens: usize = 0;
+
+    for (pos, word) in prompt.iter().enumerate() {
+        let encoding = model.tokenizer.encode(word.as_str(), false)
+            .map_err(|e| format!("Tokenizer encode error: {}", e))?;
+        let ids = encoding.get_ids().to_vec();
+        total_tokens += ids.len();
+        if pos < ent_len {
+            entity_tokens += ids.len();
+        }
+        word_encodings.push(ids);
+    }
+
+    let text_offset = entity_tokens + 1;
+
+    if log::log_enabled!(log::Level::Debug) {
+        debug!("GLiNER prompt ({} total, ent_len={}, text_offset={}):", prompt.len(), ent_len, text_offset);
+        for (i, (word, enc)) in prompt.iter().zip(word_encodings.iter()).enumerate() {
+            debug!("  [{}]{} '{}' -> {:?}", i, if i < ent_len { " ENT" } else { " TXT" }, word, enc);
+        }
+    }
+
+    let mut input_ids = Array::zeros((1, total_tokens));
+    let mut attention_masks = Array::zeros((1, total_tokens));
+    let mut word_masks = Array::zeros((1, total_tokens));
+
+    let mut idx: usize = 0;
+    let mut word_id: i64 = 0;
+
+    // BOS
+    input_ids[[0, idx]] = 1;
+    attention_masks[[0, idx]] = 1;
+    idx += 1;
+
+    for word_enc in word_encodings.iter() {
+        for (token_idx, &token_id) in word_enc.iter().enumerate() {
+            input_ids[[0, idx]] = token_id as i64;
+            attention_masks[[0, idx]] = 1;
+            if idx >= text_offset && token_idx == 0 {
+                word_masks[[0, idx]] = word_id;
+            }
+            idx += 1;
+        }
+        if idx >= text_offset {
+            word_id += 1;
+        }
+    }
+
+    // EOS
+    input_ids[[0, idx]] = 2;
+    attention_masks[[0, idx]] = 1;
+
+    let mut text_lengths = Array::zeros((1, 1));
+    text_lengths[[0, 0]] = (text_word_count + 1) as i64;
+
+    if log::log_enabled!(log::Level::Debug) {
+        debug!("GLiNER input_ids: {:?}", input_ids.as_slice().unwrap());
+        debug!("GLiNER word_masks: {:?}", word_masks.as_slice().unwrap());
+        debug!("GLiNER text_lengths: {}", text_word_count);
+    }
+
+    Ok(EncodedBatch {
+        input_ids,
+        attention_masks,
+        word_masks,
+        text_lengths,
+        num_words: text_word_count + 1,
+    })
+}
+
+// span tensors
+
+fn make_span_tensors(num_words: usize, max_width: usize) -> (ndarray::Array3<i64>, ndarray::Array2<bool>) {
+    let num_spans = num_words * max_width;
+
+    let mut span_idx = Array::zeros((1, num_spans, 2));
+    let mut span_mask = Array::from_elem((1, num_spans), false);
+
+    for start in 0..num_words {
+        let remaining = num_words - start;
+        let actual_max = max_width.min(remaining);
+        for width in 0..actual_max {
+            let dim = start * max_width + width;
+            span_idx[[0, dim, 0]] = start as i64;
+            span_idx[[0, dim, 1]] = (start + width) as i64;
+            span_mask[[0, dim]] = true;
+        }
+    }
+
+    (span_idx, span_mask)
+}
+
+// decode + greedy search
+
+fn sigmoid(x: f32) -> f32 {
+    1.0 / (1.0 + (-x).exp())
+}
+
+struct Entity {
+    text: String,
+    label: String,
+    prob: f32,
+    start: usize,
+    end: usize,
+}
+
+fn decode_and_search(
+    logits_data: &[f32],
+    logits_shape: &[usize],
+    words: &[WordToken],
+    text: &str,
+    entities: &[&str],
+    max_width: usize,
+    threshold: f32,
+) -> Vec<Entity> {
+    let num_tokens = words.len();
+
+    let dim_mw = logits_shape.get(2).copied().unwrap_or(0);
+    let dim_e = logits_shape.get(3).copied().unwrap_or(0);
+
+    let mut spans: Vec<Entity> = Vec::new();
+
+    for start in 1..=num_tokens {
+        let max_end = (start + max_width).min(num_tokens + 1);
+        for end in start..max_end {
+            let width = end - start;
+            for (class_idx, &entity_label) in entities.iter().enumerate() {
+                let flat_idx = start * dim_mw * dim_e + width * dim_e + class_idx;
+                if flat_idx >= logits_data.len() { continue; }
+
+                let raw_score = logits_data[flat_idx];
+                let prob = sigmoid(raw_score);
+                if prob >= threshold {
+                    let w_start = start - 1;
+                    let w_end = end - 1;
+                    let start_offset = words[w_start].start;
+                    let end_offset = words[w_end].end;
+                    let span_text = text[start_offset..end_offset].to_string();
+                    spans.push(Entity {
+                        text: span_text,
+                        label: entity_label.to_string(),
+                        prob,
+                        start: start_offset,
+                        end: end_offset,
+                    });
+                }
+            }
+        }
+    }
+
+    spans.sort_unstable_by(|a, b| (a.start, a.end).cmp(&(b.start, b.end)));
+    greedy_flat(spans)
+}
+
+// takes ownership, filters in place - no cloning
+fn greedy_flat(mut spans: Vec<Entity>) -> Vec<Entity> {
+    if spans.len() <= 1 {
+        return spans;
+    }
+
+    let mut keep = vec![false; spans.len()];
+    let mut prev = 0usize;
+
+    for next in 1..spans.len() {
+        let no_overlap = spans[next].start >= spans[prev].end
+            || spans[prev].start >= spans[next].end;
+
+        if no_overlap {
+            keep[prev] = true;
+            prev = next;
+        } else if spans[prev].prob < spans[next].prob {
+            prev = next;
+        }
+    }
+    keep[prev] = true;
+
+    let mut idx = 0;
+    spans.retain(|_| { let k = keep[idx]; idx += 1; k });
+    spans
+}
+
+// public extract API
+
+pub fn extract(
+    text: &str,
+    slots: &HashMap<String, SlotDefinition>,
+) -> Result<HashMap<String, SlotValue>, String> {
+    let model = MODEL.get().ok_or("GLiNER not initialized")?;
+
+    let mut label_to_slots: HashMap<&str, Vec<&str>> = HashMap::new();
+    for (slot_name, def) in slots {
+        if !def.entity.is_empty() {
+            label_to_slots
+                .entry(def.entity.as_str())
+                .or_default()
+                .push(slot_name.as_str());
+        }
+    }
+
+    if label_to_slots.is_empty() {
+        return Ok(HashMap::new());
+    }
+
+    let labels: Vec<&str> = label_to_slots.keys().copied().collect();
+
+    debug!("GLiNER extract: text='{}', labels={:?}", text, labels);
+
+    let words = split_words(text, &model, Some(MAX_LENGTH));
+    if words.is_empty() {
+        return Ok(HashMap::new());
+    }
+
+    let encoded = encode_single(&model, &labels, &words)?;
+
+    let (span_idx, span_mask) = make_span_tensors(encoded.num_words, MAX_WIDTH);
+
+    let t_input_ids = Tensor::from_array(encoded.input_ids).map_err(|e| format!("tensor: {}", e))?;
+    let t_attn = Tensor::from_array(encoded.attention_masks).map_err(|e| format!("tensor: {}", e))?;
+    let t_words = Tensor::from_array(encoded.word_masks).map_err(|e| format!("tensor: {}", e))?;
+    let t_lengths = Tensor::from_array(encoded.text_lengths).map_err(|e| format!("tensor: {}", e))?;
+    let t_span_idx = Tensor::from_array(span_idx).map_err(|e| format!("tensor: {}", e))?;
+    let t_span_mask = Tensor::from_array(span_mask).map_err(|e| format!("tensor: {}", e))?;
+
+    let mut session = model.session.lock();
+    let outputs = session.run(
+        ort::inputs! {
+            "input_ids" => t_input_ids,
+            "attention_mask" => t_attn,
+            "words_mask" => t_words,
+            "text_lengths" => t_lengths,
+            "span_idx" => t_span_idx,
+            "span_mask" => t_span_mask,
+        }
+    ).map_err(|e| format!("ort inference error: {}", e))?;
+
+    let (shape, logits_data) = outputs["logits"]
+        .try_extract_tensor::<f32>()
+        .map_err(|e| format!("Failed to extract logits: {}", e))?;
+
+    let logits_shape: Vec<usize> = shape.iter().map(|&d| d as usize).collect();
+
+    // debug dump - gated so sigmoid/loop don't run in release
+    if log::log_enabled!(log::Level::Debug) {
+        debug!("GLiNER logits shape: {:?}, data len: {}", logits_shape, logits_data.len());
+        let max_logit = logits_data.iter().cloned().fold(f32::NEG_INFINITY, f32::max);
+        debug!("GLiNER max logit: {:.4}, sigmoid: {:.4}", max_logit, sigmoid(max_logit));
+
+        let num_words = logits_shape.get(1).copied().unwrap_or(0);
+        let dim_mw = logits_shape.get(2).copied().unwrap_or(0);
+        let dim_e = logits_shape.get(3).copied().unwrap_or(0);
+        for start in 0..num_words {
+            for width in 0..dim_mw.min(num_words - start) {
+                for class_idx in 0..dim_e {
+                    let flat_idx = start * dim_mw * dim_e + width * dim_e + class_idx;
+                    if flat_idx < logits_data.len() {
+                        let score = logits_data[flat_idx];
+                        let prob = sigmoid(score);
+                        if prob > 0.05 {
+                            let end = start + width;
+                            let w_start = if start < words.len() { words[start].text } else { "?" };
+                            let w_end = if end < words.len() { words[end].text } else { "?" };
+                            debug!("  span[{}..{}] '{}'->'{}' label={} score={:.3} prob={:.3}",
+                                start, end, w_start, w_end, labels.get(class_idx).unwrap_or(&"?"), score, prob);
+                        }
+                    }
+                }
+            }
+        }
+    }
+
+    let entities = decode_and_search(
+        logits_data, &logits_shape, &words, text, &labels, MAX_WIDTH, THRESHOLD,
+    );
+
+    let mut result = HashMap::new();
+
+    for entity in &entities {
+        if entity.prob < MIN_CONFIDENCE {
+            continue;
+        }
+
+        debug!("GLiNER entity: '{}' -> '{}' ({:.1}%)",
+            entity.text, entity.label, entity.prob * 100.0);
+
+        if let Some(slot_names) = label_to_slots.get(entity.label.as_str()) {
+            for &slot_name in slot_names {
+                if !result.contains_key(slot_name) {
+                    let value = parse_slot_value(&entity.text);
+                    result.insert(slot_name.to_string(), value);
+                }
+            }
+        }
+    }
+
+    Ok(result)
+}
+
+fn parse_slot_value(text: &str) -> SlotValue {
+    if let Ok(n) = text.parse::<f64>() {
+        return SlotValue::Number(n);
+    }
+    SlotValue::Text(text.to_string())
+}
--- a/crates/jarvis-core/src/stt.rs
+++ b/crates/jarvis-core/src/stt.rs
@ -0,0 +1,41 @@
+#[cfg(feature = "vosk")]
+mod vosk;
+
+use crate::config;
+use once_cell::sync::OnceCell;
+
+use crate::config::structs::SpeechToTextEngine;
+pub use self::vosk::init_vosk;
+pub use self::vosk::recognize_wake_word;
+pub use self::vosk::recognize_speech;
+pub use self::vosk::reset_speech_recognizer;
+pub use self::vosk::reset_wake_recognizer;
+
+static STT_TYPE: OnceCell<SpeechToTextEngine> = OnceCell::new();
+
+pub fn init() -> Result<(), String> {
+    if STT_TYPE.get().is_some() {
+        return Ok(());
+    }
+
+    STT_TYPE.set(config::DEFAULT_SPEECH_TO_TEXT_ENGINE)
+        .map_err(|_| "STT type already set".to_string())?;
+
+    match STT_TYPE.get().unwrap() {
+        SpeechToTextEngine::Vosk => {
+            info!("Initializing Vosk STT backend.");
+            vosk::init_vosk()?;
+            info!("STT backend initialized.");
+        }
+    }
+
+    Ok(())
+}
+
+pub fn recognize(data: &[i16], include_partial: bool) -> Option<String> {
+    if include_partial {
+        vosk::recognize_wake_word(data).map(|(text, _)| text)
+    } else {
+        vosk::recognize_speech(data)
+    }
+}
--- a/crates/jarvis-core/src/stt/vosk.rs
+++ b/crates/jarvis-core/src/stt/vosk.rs
@ -0,0 +1,146 @@
+use once_cell::sync::OnceCell;
+use vosk::{DecodingState, Recognizer};
+use std::sync::Arc;
+use parking_lot::Mutex;
+
+use crate::{vosk_models, i18n, config, models};
+use crate::models::vosk::VoskModel;
+use crate::DB;
+
+// the model Arc keeps the vosk::Model alive for the recognizers
+static VOSK_MODEL: OnceCell<Arc<VoskModel>> = OnceCell::new();
+static WAKE_RECOGNIZER: OnceCell<Mutex<Recognizer>> = OnceCell::new();
+static SPEECH_RECOGNIZER: OnceCell<Mutex<Recognizer>> = OnceCell::new();
+
+pub fn init_vosk() -> Result<(), String> {
+    if VOSK_MODEL.get().is_some() {
+        return Ok(());
+    }
+
+    let model_path = get_configured_model_path()?;
+    let model_id = format!("vosk:{}", model_path.display());
+
+    // load through registry (shared if anything else needs the same model)
+    let vosk = models::vosk::load(
+        models::registry(),
+        &model_id,
+        model_path.to_str().unwrap(),
+    )?;
+
+    // language-specific wake grammar
+    let lang = i18n::get_language();
+    let wake_grammar = config::get_wake_grammar(&lang);
+    info!("Wake grammar for '{}': {:?}", lang, wake_grammar);
+
+    let mut wake_recognizer = Recognizer::new_with_grammar(&vosk.model, 16000.0, wake_grammar)
+        .ok_or("Failed to create wake word recognizer")?;
+
+    wake_recognizer.set_max_alternatives(1);
+
+    let mut speech_recognizer = Recognizer::new(&vosk.model, 16000.0)
+        .ok_or("Failed to create speech recognizer")?;
+
+    speech_recognizer.set_max_alternatives(config::VOSK_SPEECH_RECOGNIZER_MAX_ALTERNATIVES);
+    speech_recognizer.set_words(config::VOSK_SPEECH_RECOGNIZER_WORDS);
+    speech_recognizer.set_partial_words(config::VOSK_SPEECH_PARTIAL_WORDS);
+
+    VOSK_MODEL.set(vosk).map_err(|_| "Model already set")?;
+    WAKE_RECOGNIZER.set(Mutex::new(wake_recognizer)).map_err(|_| "Wake recognizer already set")?;
+    SPEECH_RECOGNIZER.set(Mutex::new(speech_recognizer)).map_err(|_| "Speech recognizer already set")?;
+
+    Ok(())
+}
+
+
+pub fn recognize_wake_word(data: &[i16]) -> Option<(String, f32)> {
+    let mut recognizer = WAKE_RECOGNIZER.get()?.lock();
+    
+    match recognizer.accept_waveform(data) {
+        Ok(DecodingState::Running) => {
+            None
+        }
+        Ok(DecodingState::Finalized) => {
+            let result = recognizer.result();
+            
+            if let Some(alternatives) = result.multiple() {
+                if let Some(best) = alternatives.alternatives.first() {
+                    if !best.text.is_empty() {
+                        return Some((best.text.to_string(), best.confidence));
+                    }
+                }
+            }
+            
+            None
+        }
+        _ => None,
+    }
+}
+
+
+pub fn recognize_speech(data: &[i16]) -> Option<String> {
+    let mut recognizer = SPEECH_RECOGNIZER.get()?.lock();
+    
+    match recognizer.accept_waveform(data) {
+        Ok(DecodingState::Finalized) => {
+            recognizer.result()
+                .multiple()
+                .and_then(|m| m.alternatives.first().map(|a| a.text.to_string()))
+        }
+        _ => None,
+    }
+}
+
+
+pub fn reset_speech_recognizer() {
+    if let Some(recognizer) = SPEECH_RECOGNIZER.get() {
+        recognizer.lock().reset();
+    }
+}
+
+pub fn reset_wake_recognizer() {
+    if let Some(recognizer) = WAKE_RECOGNIZER.get() {
+        recognizer.lock().reset();
+    }
+}
+
+fn get_configured_model_path() -> Result<std::path::PathBuf, String> {
+    // try to get from settings
+    if let Some(db) = DB.get() {
+        let settings = db.read();
+        if !settings.vosk_model.is_empty() {
+            if let Some(path) = vosk_models::get_model_path(&settings.vosk_model) {
+                return Ok(path);
+            }
+            warn!("Configured Vosk model '{}' not found, falling back to auto-detect", settings.vosk_model);
+        }
+    }
+    
+    // auto-detect: prefer model matching current language
+    let available = vosk_models::scan_vosk_models();
+    let language = i18n::get_language();
+
+    let lang_code = match language.as_str() {
+        "ru" => "ru",
+        "en" => "us",
+        "ua" => "uk",
+        other => other,
+    };
+
+    if let Some(matched) = available.iter().find(|m| m.language == lang_code) {
+        info!("Auto-detected Vosk model for '{}': {}", language, matched.name);
+        return Ok(matched.path.clone());
+    }
+
+    if let Some(first) = available.first() {
+        info!("Auto-detected Vosk model (no language match): {}", first.name);
+        return Ok(first.path.clone());
+    }
+    
+    // fallback to legacy path
+    let legacy_path = std::path::Path::new(config::VOSK_MODEL_PATH);
+    if legacy_path.exists() {
+        return Ok(legacy_path.to_path_buf());
+    }
+    
+    Err("No Vosk models found".into())
+}
--- a/Show more
+++ b/Show more
Author	SHA1	Message	Date
Priler	5c3031c977	AI models shared registry + Code cleanup + Better async handling + Some fixes, etc	2026-02-18 21:08:48 +05:00
Priler	b427eacf35	some fixes + gliner first implementation	2026-02-11 07:21:50 +05:00
Priler	e367d11b7c	Fix intent classifier init	2026-02-08 07:30:46 +05:00
Priler	5e18503704	New intent classification engine - MiniLM L6v2 and MiniLM L12v2 ONNX	2026-02-08 07:16:03 +05:00
Priler	f9cb13eb25	Bump to Lua 5.5	2026-02-08 06:42:58 +05:00
Priler	d132ffacac	Merge branch 'master' of https://github.com/Priler/jarvis	2026-02-08 06:37:55 +05:00
Priler	0ddfa35047	Improved wake-word & command detection, with dual mode	2026-02-08 06:37:39 +05:00
Abraham Tugalov	b20805b2f5	Mark README as outdated Updated the README to indicate that it is outdated.	2026-01-17 06:27:35 +05:00
Priler	05e3c5c8e7	library files required for the build added	2026-01-17 06:08:09 +05:00
Priler	c4a774b5cf	basic Lua 5.4 implementation with few example commands	2026-01-17 05:46:38 +05:00
Priler	c9b9482cc8	Commands/voices multilanguage support + Ukranian vosk model added	2026-01-13 02:21:59 +05:00
Priler	64eb1093d5	VAD fixes + some calibrations	2026-01-08 00:35:21 +05:00
Priler	82eddf5d4c	Tray options implementation + Voice system rewrite + build fixes	2026-01-07 23:29:46 +05:00
Priler	44ea5e46e2	Multilingual support via Fluent + Frontend improvements + Rewrite of ArcReactor	2026-01-07 05:04:04 +05:00
Priler	9b310fd831	websockets based IPC added in order to bind GUI/app together	2026-01-07 00:15:36 +05:00
Priler	88ecf21b2c	noise suppression added via nnnoiseless + vad + gain-normalizer + few frontend changes	2026-01-06 23:32:58 +05:00
Priler	bd8e2c989d	vosk usage optimization	2026-01-05 04:20:43 +05:00
Priler	75edd47d18	vosk model selection in GUI	2026-01-05 03:38:04 +05:00
Priler	f9fa4a9fc1	jarvis-cli added for dev tests	2026-01-05 02:23:32 +05:00
Priler	1ee944ce7a	intent recognition added (first implementation)	2026-01-05 01:23:13 +05:00
Priler	6570348130	intent recognition added (first implementation)	2026-01-05 01:22:45 +05:00
Priler	4ceaa7ff20	frontend cleanup	2026-01-04 22:50:34 +05:00
Priler	78eb0c0080	frontend fixes & db rewrite with serde	2026-01-04 09:00:51 +05:00
Priler	a425d8f834	rustpotter detections optimization + few code improvements	2026-01-04 06:14:05 +05:00
Priler	612ed2f1b0	project restructure with Rust workspaces	2026-01-04 05:26:40 +05:00
Priler	24f8c55837	project restructure with Rust workspaces	2026-01-04 05:24:25 +05:00
Priler	6e585dd37d	project restructure with Rust workspaces	2026-01-04 05:19:47 +05:00
Priler	1f03a44f33	Draft successful build, versions bump, crates up to date + custom forks of certain crates	2025-12-12 02:05:37 +05:00
Priler	15d33d9bc5	Draft code updates for kira/rodio (new versions)	2025-12-12 01:59:07 +05:00
Priler	a445b8984b	Custom pv_recorder git repo (reverted)	2025-12-12 01:36:39 +05:00
Priler	b2fcc900dd	Bruh	2025-12-12 00:31:17 +05:00
Abraham Tugalov	e3b3a3ab9c	Merge pull request #164 from Alim4567/patch-2 Update command.yaml	2025-12-12 00:30:06 +05:00
Abraham Tugalov	696383059a	Merge pull request #90 from benzlokzik/patch-1 Markup correction	2025-12-12 00:28:50 +05:00
Abraham Tugalov	3a0a12c34b	Merge pull request #82 from el1sha256/linux_build Linux build files	2025-12-12 00:28:23 +05:00
Priler	c083c76412	Merge branch 'sawixy/master'	2025-12-12 00:24:03 +05:00
Priler	fe4d4306ce	Adjust PR 175: keep only selected changes	2025-12-12 00:19:29 +05:00
Priler	f50029e639	Crates versions bump (picovoice removed)	2025-12-12 00:11:32 +05:00
Priler	3fcd83da80	Accept selected changes from PR #175	2025-12-12 00:09:51 +05:00
Priler	28670a54f8	Accept selected changes from PR #175	2025-12-12 00:01:22 +05:00
Priler	703e316257	Latest changes	2025-12-11 23:43:50 +05:00
sawixy	37e1fe6958	gtk linux fix	2025-09-07 20:01:44 +03:00
Alim4567	afe5f36489	Update command.yaml	2025-06-13 19:15:41 +04:00
Abraham	909b1ab0e4	App architecture modifications. Now GUI and the app itself is divided into two different binaries. The app also provides system tray icon. Whereas the GUI can be used to configure the app.	2023-06-11 19:22:02 +05:00
Abraham	24c9d8f58a	App architecture modifications. Now GUI and the app itself is divided into two different binaries. The app also provides system tray icon. Whereas the GUI can be used to configure the app.	2023-06-11 19:18:58 +05:00
Abraham	1323505b0a	App architecture modifications. Now GUI and the app itself is divided into two different binaries. The app also provides system tray icon. Whereas the GUI can be used to configure the app.	2023-06-11 19:17:50 +05:00
Abraham	ea489d5719	pre 0.0.3	2023-06-08 21:01:29 +05:00
benzlokzik	aa2d51e98f	Markup correction Small corrections in the markdown markup related to the use of strikethrough lines with list of TTS and wake-word neural links	2023-05-07 06:15:09 +03:00
Abraham	9b7636df2e	README typo fixes & some little changes	2023-05-04 01:06:44 +05:00
Abraham	5b636f6763	App window size lowered Open logs button added Better links handling Multiple UI fixes/improvements etc	2023-05-01 16:54:50 +05:00
Abraham	229d7194a5	Commands fixes + New commands	2023-05-01 04:24:06 +05:00
Abraham	1ef42e27e2	if you have README problems I feel bad for you son, I've got 99 problems but the b**ch aint one ...	2023-05-01 02:00:15 +05:00
Abraham	278b5cd615	Some funky stuff, bruh	2023-05-01 01:52:47 +05:00
Abraham	85eb06fa06	Recorder rewritten. + Attempt to integrate cpal and portaudio.	2023-04-30 22:32:48 +05:00
Elisha Kravchuk	8b5cd04b22	Merge branch 'master' of github.com:el1sha-git/jarvis into linux_build	2023-04-29 16:39:37 +03:00
Elisha Kravchuk	2934e613fb	add files for linux build	2023-04-29 16:34:02 +03:00
Abraham	20081161f3	bruh	2023-04-29 16:02:29 +05:00
Abraham	75691211ad	Vosk added as wake-word engine option	2023-04-29 16:00:49 +05:00
Abraham	d8b8ba2617	App icon, logs are now stored to log.txt file, work in progress on intergration with rustpotter	2023-04-29 14:58:16 +05:00
Abraham	49a7a7ef2a	Readme fix	2023-04-28 19:49:22 +05:00
Abraham	f0468f9899	Readme fixes	2023-04-28 19:42:55 +05:00
Abraham	1180d11e8f	Readme fixes	2023-04-28 19:41:44 +05:00
Abraham	57033334f8	Readme and License	2023-04-28 19:39:48 +05:00
Abraham	52fc5fc06d	BETA Fix4 changes	2023-04-28 19:05:35 +05:00
Abraham	54613e3628	Update to Rust programming language.	2023-04-27 00:28:36 +05:00