## Phase 2 Implementation Complete ✅

I've successfully completed **Phase 2** of the Image Context feature implementation. Here's what was done:

### ✅ Completed Work

#### 1. Vision Model Support in `llm_clients.py`

- **Added `VISION_MODELS` constant** (line 117): Lists all vision-capable models for OpenAI, Claude, and Gemini
- **Added `model_supports_vision()` method** (line 206): Checks if a provider/model combination supports vision
- **Modified `translate()` signature** (line 437): Added optional `images` parameter
- **Updated routing logic** (line 467): Added warning when images provided but model doesn't support vision
- **Updated `_call_openai()`** (line 483): Handles vision API format with base64 PNG images in content array
- **Updated `_call_claude()`** (line 630): Handles Claude vision format with base64 media source
- **Updated `_call_gemini()`** (line 690): Handles Gemini format accepting PIL.Image objects directly

#### 2. Integration in `Supervertaler.py`

**Single-segment translation** (line ~15740):
- Detects figure references in source text before translation
- Retrieves matching PIL images from `FigureContextManager`
- Converts to provider-specific format (base64 for OpenAI/Claude, PIL.Image for Gemini)
- Passes images to `LLMClient.translate()` with automatic vision capability check
- Logs which figures are included

**Batch translation** (line ~16250):
- Collects figure references across all segments in batch
- Loads all unique figures referenced in batch
- Includes images in batch API call for comprehensive context
- Logs total figure count and references

#### 3. Documentation Updated

- Updated `docs/IMAGE_CONTEXT_FEATURE.md` to reflect Phase 2 completion
- Added implementation details and code examples
- Marked testing as pending

### 🔧 Technical Details

**Vision Model Detection:**
```python
VISION_MODELS = {
    "openai": ["gpt-4-vision-preview", "gpt-4-turbo", "gpt-4o", ...],
    "claude": ["claude-3-opus", "claude-3-sonnet", "claude-3-5-sonnet", ...],
    "gemini": ["gemini-pro-vision", "gemini-1.5-pro", "gemini-2.5-flash", ...]
}
```

**Image Format Conversion:**
- **OpenAI/Claude**: Base64-encoded PNG in JSON payload
- **Gemini**: PIL.Image objects passed directly to SDK

**Automatic Detection:**
- Checks for figure references using regex: `(?:figure|figuur|fig\.?)\s*([\w\d]+...)`
- Matches filenames: `fig1.png`, `Figure 1A.jpg`, `Fig. 2-B.png`
- Only includes images if model supports vision

### 🎯 Ready for Testing

The feature is now fully implemented and ready for real-world testing:

1. Load a patent document with figure references ("As shown in Figure 1...")
2. Load corresponding figure images via "📁 Load Images Folder" button
3. Translate segments containing figure references
4. Verify images are included in API calls (check logs for "Including X figure images")
5. Compare translation quality with/without image context

### 📊 Next Steps

- Test with real patent documents containing technical drawings
- Test various figure naming conventions
- Test batch translation with multiple figures
- Validate with different vision models (GPT-4V, Claude 3, Gemini Pro Vision)
- Create user guide with workflow examples

### 📝 Implementation Notes

The implementation follows the proven pattern from the legacy v2.5.0-CLASSIC version while being fully integrated with the modern PyQt6 architecture and modular LLM client system.

**Key Files Modified:**
- `modules/llm_clients.py` - Vision model support and image handling
- `Supervertaler.py` - Figure detection and image inclusion in translations
- `docs/IMAGE_CONTEXT_FEATURE.md` - Updated documentation

**Backwards Compatible:**
- No breaking changes to existing API
- Images parameter is optional (defaults to None)
- Non-vision models automatically skip image processing with warning

---

## Additional Feature: Superbrowser Integration

**Status**: ✅ Completed November 18, 2025

While implementing Phase 2, also integrated the **Superbrowser** feature - a multi-chat AI browser that displays ChatGPT, Claude, and Gemini side by side in resizable columns.

**Implementation:**
- Created `modules/superbrowser.py` - Standalone module with `SuperbrowserWidget`
- Added as new tab in Specialised Tools: "🌐 Superbrowser"
- Features: URL navigation, reload, home buttons for each AI provider
- Configurable URLs for custom chat sessions
- Requires `PyQt6-WebEngine` package (now installed)

**Files Created/Modified:**
- `modules/superbrowser.py` - New module (259 lines)
- `Supervertaler.py` - Added `create_superbrowser_tab()` method and tab registration
- Dependencies: Added `PyQt6-WebEngine` to requirements
