# ai-controller
## 🔎 Preparation
1. `Go to the`[`Open Router`](https://openrouter.ai/)`and create your own api key`
2. `Make sure you place your files in the following directories.`
~/capture-ai/ui.py
~/capture-ai/ai.py
~/capture-ai/cli.py
~/capture-ai/capture-ai.sh
~/capture-ai/language/en.json
~/capture-ai/language/tr.json
~/.config/capture-ai/config.json
~/.config/capture-ai/requirements.txt
~/.config/scripts/screenprint.sh
3. Download Packages
Arch Packages
```
cd ~/.config/capture-ai/
sudo pacman -S --needed git python python-virtualenv python-gobject gtk4 libadwaita gobject-introspection cairo pango glib2 xdg-utils noto-fonts-emoji
```
Enviroment
```
python -m venv venv
source venv/bin/activate
pip install -r requirements.txt
```
Offline Voice Input (Speech → Text)
🎙️ pw-record / arecord -> 📄 WAV file -> 🧠 whisper-cli -> ✍ Text input
🎙️voice record
>pw-record
```
sudo pacman -S --needed pipewire wireplumber pipewire-audio pipewire-pulse
```
>arecord
```
sudo pacman -S --needed alsa-utils
```
📄 Offline Speech to Text
```
sudo pacman -S --needed cmake make gcc
```
Packages Check
```
command -v pw-record || echo "pw-record not found"
command -v arecord || echo "arecord not found"
```
🧠 Install whisper.cpp (Offline Speech Recognition Engine)
```
git clone https://github.com/ggml-org/whisper.cpp.git
cd whisper.cpp
cmake -B build
cmake --build build -j --config Release
```
>ls build/bin
#Should see these -> ... whisper-cli, main, whisper-server, ...
Download 'Tiny' Model
```
mkdir -p ~/.local/share/whisper
wget -O ~/.local/share/whisper/ggml-tiny.bin https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-tiny.bin
```
Packages Check
```
ls -l ~/whisper.cpp/build/bin/whisper-cli
ls -lh ~/.local/share/whisper/ggml-tiny.bin
```
Manual Test
```
/home/bob/whisper.cpp/build/bin/whisper-cli \
-m /home/bob/.local/share/whisper/ggml-tiny.bin \
-f /tmp/capture-ai-mic-20260228-205753.wav \
-l tr
```
Screenshot
```
sudo pacman -S --needed grim slurp mako libnotify
```
Debian/Ubuntu/Rasberry Pi OS
```
cd ~/.config/capture-ai/
sudo apt update && sudo apt install -y git python3 python3-venv python3-gi gobject-introspection gir1.2-gtk-4.0 gir1.2-adw-1 libgtk-4-1 libadwaita-1-0 xdg-utils fonts-noto-color-emoji
```
Enviroment
```
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
```
Offline Voice Input (Speech → Text)
🎙️ pw-record / arecord -> 📄 WAV file -> 🧠 whisper-cli -> ✍ Text input
🎙️voice record
>pw-record
```
sudo apt install -y pipewire wireplumber pipewire-pulse
```
>arecord
```
sudo apt install -y alsa-utils
```
📄 Offline Speech to Text
```
sudo apt install -y cmake make gcc
```
Packages Check
```
command -v pw-record || echo "pw-record not found"
command -v arecord || echo "arecord not found"
```
🧠 Install whisper.cpp (Offline Speech Recognition Engine)
```
git clone https://github.com/ggml-org/whisper.cpp.git ~/whisper.cpp
cd ~/whisper.cpp
cmake -B build
cmake --build build -j --config Release
```
>ls build/bin
#Should see these -> ... whisper-cli, main, whisper-server, ...
Download 'Tiny' Model
```
mkdir -p ~/.local/share/whisper
wget -O ~/.local/share/whisper/ggml-tiny.bin https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-tiny.bin
```
Packages Check
```
ls -l ~/whisper.cpp/build/bin/whisper-cli
ls -lh ~/.local/share/whisper/ggml-tiny.bin
```
Manual Test
```
~/whisper.cpp/build/bin/whisper-cli \
-m ~/.local/share/whisper/ggml-tiny.bin \
-f /tmp/capture-ai-mic-20260228-205753.wav \
-l tr
```
Screenshot
```
sudo apt install -y grim slurp scrot dunst libnotify-bin
```
~/.config/capture-ai/env.sh --> export OPENROUTER_API_KEY="sk-or-v..."
Run
bash capture-ai.sh (image,text,cli)
$capture-ai = /home/$USER/capture-ai/capture-ai.sh
bind = $mainMod SHIFT, Q, exec, $capture-ai image
bind = $mainMod, Q, exec, $capture-ai text
## Roadmap
- [x] Easy access with keyboard shortcuts
- [x] Model management per chat
- [x] Generate image
- [x] Access every AI model easily
- [x] Unlimited reference tree support
- [x] Customize how the AI responds
- [x] Shows how many tokens are consumed for each message
- [x] Dark/Light themes
- [x] Just one configure file
- [x] Copyable code blocks
- [x] Regenerate
- [x] Keep all your chats in your machine
- [x] Enter input with your voice -Speech to text(online or local)-
- [x] Adding documents via drag & drop
- [x] AI can read, analyze, modify your documents (within permission)
- [x] Files returned as downloadable outputs
- [x] Supports PDF, DOCX, XLSX
- [x] Lazy Loading, Chat Loading System (Loads latest messages first,older messages load on scroll)
- [x] Change UI colors
- [x] Language support [Turkish, English]*You can easily create your own language file*
- [x] Caching the language file to avoid repeated file reads
- [x] Compatible with Linux(Arch,Debian/Ubuntu) devices
- [x] Control via Terminal (excluding STT and some UI features)
- [x] Per-chat conversational RAG system with enable/disable support(short-term memory + summary memory + embedding-based retrieval + code-aware context)
- [x] Run local text model(Local API-based AI)
- [ ] Compatible with macOS, Windows
## 🔎 ALL APP FEATURES
For Nerds
1. For Nerds
1. Chat management
Create, switch, delete, rename, pin/unpin chats. Chats are sorted with pinned chats first, then by last modified time.
2. Local chat storage
All chats are stored locally on the machine under the app cache directory.
3. Section-based chat loading
Chats use lazy loading. Only the latest 10 messages are loaded first, and older messages load while scrolling up.
4. Persistent configuration
Uses one config.json file for settings such as theme, models, pinned chats, last chat, STT, RAG, colors, local providers, and language.
5. Per-chat model management
Each chat can have its own active AI model. Recently selected models move to the top of the list.
6. Online and local model support
Supports OpenRouter models and local API-based text models such as Ollama.
7. Local provider settings
Local providers can store base URL, startup command, stop command, system prompt, and model parameters.
8. Sidebar UI
Collapsible sidebar with separate Chats and AI Models sections.
9. Context mode switch
Each chat can switch between Direct mode and RAG mode.
10. Per-chat conversational RAG
Supports short-term memory, summary memory, simple retrieval, and code-aware context.
11. Reference tree support
Selected references can expand recursively so previous context is not lost.
12. Message selection mode
Users can select one or multiple messages, clear selection, copy, regenerate, or use them as references.
13. Regenerate
Regenerates from selected user or assistant messages while keeping reference context.
14. Copyable code blocks
Copy-marked content is rendered as a code-style block with a copy button.
15. Image generation and image handling
Supports image generation, image previews, cached generated images, and image attachments.
16. Document support
Supports PDF, DOCX, XLSX, TXT, and MD file creation/output. Generated files are shown with downloadable buttons.
17. PDF handling
If a PDF contains text, it is sent as text content. If it has little/no text, the first pages are converted to PNG images and sent as image_url.
18. Document editing behavior
AI can read, analyze, summarize, rewrite, and generate edited document outputs when permission is enabled.
19. File create protocol
DOCX, XLSX, PDF, TXT, and MD outputs can be generated from AI responses and returned as downloadable files.
20. XLSX support
Can create new XLSX tables and filter existing XLSX files with supported operations.
21. Drag & drop attachments
Files and images can be added via drag & drop or file picker.
22. Editable file permission
Attached files can be toggled editable. The AI only modifies files when permission is enabled.
23. Voice-to-text input
Supports microphone recording and transcription with online or local STT.
24. Offline STT
Uses whisper.cpp with configured binary and model paths.
25. Online STT
Uses OpenRouter audio-capable models and sends WAV audio as input_audio.
26. Token usage display
Shows input, output, and total token usage for each response when enabled.
27. Token price display
Can estimate message cost using a configurable token price value.
28. Theme system
Supports dark/light theme and custom UI colors.
29. Language system
Supports external language files such as Turkish and English, with cached language loading.
30. Prompt chooser
Prompt behavior blocks can be enabled/disabled, such as copyable, apply, PDF visual edit, file creation, structured output, and code mode.
31. Terminal control
The project also supports terminal usage, excluding STT and some GUI-only features.
32. Linux compatibility
Designed for Linux devices, including Arch and Debian/Ubuntu-based systems.
Bilgi Hastaları için
1. Chat yönetimi
Yeni chat oluşturma (chat_1.json, chat_2.json…)
Chat’ler arasında geçiş
Chat silme (onay pencereli, geri alınamaz)
Chat ismini değiştirme (rename popover)
Chat sabitleme (📌 pinned)
Chat liste sıralaması: önce pinned, sonra son değiştirilene gör
2. Kalıcı ayarlar (config.json)
Son açık chat’i hatırlama (last_chat)
Karanlık/Aydınlık tema tercihi (dark_mode)
Sabitlenen chat’ler listesi (pinned_chats)
Model listesi (ai_models)
Chat başına model eşlemesi (chat_models)
OpenRouter API key saklama (open_router_key)
Mikrofon modu online/offline seçimi (is_mic_online)
Online STT model seçimi (stt_model_online)
Offline STT için whisper.cpp binary/model yolları (whisper_cpp_bin, whisper_cpp_model)
3. Sidebar UI
Sidebar daralt / genişlet (☰)
Chats listesini aç/kapat
AI models listesini aç/kapat
4. Model yönetimi (chat başına)
Her chat için ayrı aktif model
Model seçince o chat’e atanır
LRU mantığı: seçtiğin model liste başına alınır
Model silme (son model silinemez; en az 1 model kalır)
Silinen model chat’lerde kullanılıyorsa otomatik default modele çekilir (self-heal)
“AI Models +” ile yeni model ekleme (dialog + OpenRouter models linki)
5. Mesaj seçim modu
Mesaja tıklayarak bir/çok mesaj seçme
Seçili mesaj sayısını gösteren bar
Seçimi tek tuşla temizleme (✕)
Seçili mesajlar balon üzerinde outline ile işaretlenir
6. Reference trees (referans zinciri / ağaç)
Seçtiğin referans mesajların used_refs zincirini genişletir
Yani referansın referansı da otomatik dahil edilir (foto/ref kaybolmasın diye)
Gönderilen yeni kullanıcı mesajına:
used_refs (AI’ya giden index seti)
refs_groups (UI’da referans önizleme grupları)
kaydedilir
7. Referans önizleme (refs preview)
Referansla gönderilmiş mesajlar üstte “mini preview” olarak gösterilir
Grup grup gösterim (refs_groups)
Uzun satırlar kısaltılır (200 karakter)
8. Regenerate (♻)
Tek seçili balonda görünür
User mesajı seçilirse: aynı mesajı yeniden sorar
Bot mesajı seçilirse:
önceki user sorusunu bulur
bot cevabını “kopyalama bloğu” içeriğiyle iyileştirerek yeniden üretir
Regenerate mesajı özel renkle işaretlenir (regen)
Regenerate sırasında referans zinciri korunur (reference trees)
9. Copy (📋)
Tek seçili balonda görünür
Mesaj içeriğinde copy ... copy bloğu varsa sadece içi kopyalanır
Yoksa tüm mesaj kopyalanır
10. Kod bloğu algılama
İçerikte copy sınırları varsa “code-block” görünümü ile render eder
Kod bloğunda “Kopyala” butonu vardır (overlay)
11. Görsel gönderme / önizleme
Bir görsel “pending_image” olarak eklenebilir
Chat’e mesajla birlikte image path kaydedilir
Mesajlarda görsel varsa küçük preview gösterilir
Gönderim öncesi preview kutusu gösterilir, gönderince temizlenir
12. Typing indicator
AI yanıtı beklerken “Düşünüyor…” animasyonu
Yanıt gelince otomatik kaldırılır
13. Scroll davranışları
Aşağı kaydırma butonu (↓) — kullanıcı yukarıdaysa görünür
Tıklayınca en alta iner ve auto-scroll tekrar açılır
Scroll konumuna göre buton otomatik gizlenir/gösterilir
(Sende ayrıca “sadece regenerate’de aşağı kaydır” mantığını da ayarladık)
14. Input kısayolları
Enter: gönder
Shift+Enter: yeni satır
(Eklediğimiz) Ctrl+C / Ctrl+V / Ctrl+X / Ctrl+A kopyala–yapıştır–kes–tümünü seç
15. Mikrofon: Sesle yazma (Voice-to-text)
🎤 butonu ile kayıt başlat / ⏹ ile durdur
Linux’ta pw-record varsa onu kullanır, yoksa arecord
Durdurunca offline/online STT’ye göre transcribe edip input’a ekler
16. Offline STT (whisper.cpp)
whisper-cli + ggml-tiny.bin ile düşük CPU transkripsiyon
Çıktıyı .txt’den okur (veya stdout fallback)
17. Online STT (OpenRouter)
is_mic_online: true ise OpenRouter üzerinden STT
Audio input input_audio ile base64 wav gönderme
Model stt_model_online ile seçilir
## 🔒 License
📜 GPL-3.0 License