1. Добавь еще сохранение последней выбранной модели 
2. Ollama-web это работа по API сайта ollama.com (через ключ)
3. openrouter модели отвечаю кракозябрами
4. nvidia не подтягивает модели с сайта
5. HuggingFace 404 Client Error: Not Found for url: https://api-inference.huggingface.co/models/meta-llama/Llama-3.2-1B 
6. добавь автоматическую подгрузки моделей а так же выстрый поиск модели в списке

# AI Model Tester - Specification

## Project Overview
- **Project name**: AI Model Tester
- **Type**: Web application (single-page)
- **Core functionality**: Test AI models across multiple providers (Ollama, Ollama-web, OpenRouter, NVIDIA, HuggingFace) with unified interface
- **Target users**: Developers testing AI model integrations

## UI/UX Specification

### Layout Structure
- **Single page application** with vertical flow
- **Sections**:
  1. Header - Logo + title
  2. Provider selector - Horizontal tabs/cards
  3. Configuration panel - API key input, model selector
  4. Query section - Textarea for prompt, thinking toggle
  5. Response area - Streaming response display

### Visual Design
- **Theme**: Dark mode with glassmorphism elements 
- **Typography**:
  - Font: 'JetBrains Mono' for code, 'Outfit' for UI
  - Headings: Bold, large
- **Effects**:
  - Glass cards with backdrop-filter blur
  - Subtle glow on active elements
  - Smooth transitions (0.3s ease)
  - Animated gradient borders on focus

### Components
1. **Provider Tabs**
   - 5 providers as clickable cards
   - Active state: glowing border + background tint
   - Icons for each provider

2. **API Key Input**
   - Password input with show/hide toggle
   - Save indicator
   - Validation feedback

3. **Model Selector**
   - Dropdown loaded dynamically per provider
   - Refresh button for Ollama
   - Loading state with skeleton

4. **Thinking Toggle**
   - Custom styled checkbox
   - Label "Enable reasoning" / "Режим размышления"
   - Glow effect when enabled

5. **Query Input**
   - Large textarea with syntax highlighting feel
   - Character count
   - Submit button with loading state

6. **Response Display**
   - Markdown rendering
   - Copy button
   - Streaming animation (typing effect)
   - Thinking process reveal if enabled

## Functionality Specification

### Core Features
1. **Provider Management**
   - Select from: Ollama (local), Ollama-web, OpenRouter, NVIDIA, HuggingFace
   - Store API keys per provider in config.json
   - Display saved key status (masked)

2. **Model Discovery**
   - Ollama: GET /api/tags from local instance
   - Ollama-web (ollama.com): GET https://ollama.com/api/tags (Bearer key)
   - OpenRouter: https://openrouter.ai/api/v1/models
   - NVIDIA: https://integrate.api.nvidia.com/v1/models
   - HuggingFace: https://api-inference.huggingface.co/models (list via inference)

3. **API Key Storage**
   - Save to config.json via backend
   - Keys stored encrypted (simple base64 for demo)
   - Load on page init

4. **Query Execution**
   - Send request to appropriate API
   - Handle streaming responses
   - Display thinking/reasoning if enabled
   - Error handling with user-friendly messages

5. **Thinking Mode**
   - Enable: send to provider with reasoning enabled
   - Display reasoning in collapsible section
   - Default: disabled

### Data Flow
- Frontend → Flask backend → Provider APIs
- Config stored in JSON file on server

### Edge Cases
- No API key entered - prompt to enter
- Invalid API key - show error
- Model list empty - show "No models found"
- Network error - show retry option
- Ollama not running - detect and show message

## Acceptance Criteria
- [ ] All 5 providers selectable and functional
- [ ] API keys save to config.json
- [ ] Models load dynamically per provider
- [ ] Queries send and receive responses
- [ ] Thinking mode toggles correctly
- [ ] Responsive on desktop (mobile optional)
- [ ] Dark theme with glassmorphism working
- [ ] Error states handled gracefully

## Files
- `server.py` - Flask backend
- `index.html` - Frontend
- `config.json` - Data storage (auto-created)