AI Researcher and Video Studio implementation complete

docs/Video Studio/TEXT_TO_VIDEO_PHASE1_STATUS.md

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+# Text-to-Video Phase 1 - Implementation Status
+
+## ✅ Base Structure Created
+
+### Directory Structure
+```
+backend/services/llm_providers/video_generation/
+├── __init__.py                    # Module exports
+├── base.py                        # Base classes and interfaces
+└── wavespeed_provider.py          # WaveSpeed text-to-video services
+```
+
+### Files Created
+
+1. **`base.py`** - Base classes:
+   - `VideoGenerationOptions` - Options dataclass
+   - `VideoGenerationResult` - Result dataclass
+   - `VideoGenerationProvider` - Protocol interface
+
+2. **`wavespeed_provider.py`** - WaveSpeed services:
+   - `BaseWaveSpeedTextToVideoService` - Base class with common logic
+   - `HunyuanVideoService` - Placeholder for HunyuanVideo-1.5
+   - `get_wavespeed_text_to_video_service()` - Factory function
+
+### Architecture
+
+**Separation of Concerns:**
+- Each model has its own service class
+- Base class handles common validation and structure
+- Factory function routes to appropriate service
+- Follows same pattern as `image_generation/` module
+
+**Current Status:**
+- ✅ Base structure created
+- ✅ HunyuanVideoService placeholder created
+- ⏳ Waiting for model documentation to implement
+
+## Next Steps
+
+### 1. Provide Model Documentation
+Please provide documentation for **HunyuanVideo-1.5** including:
+- API endpoint path
+- Request payload structure
+- Required parameters
+- Optional parameters
+- Response format
+- Pricing/cost calculation
+- Any special features or limitations
+
+### 2. Implement HunyuanVideoService
+Once documentation is provided, I will:
+- Implement `generate_video()` method
+- Add proper validation
+- Integrate with WaveSpeedClient
+- Add progress callback support
+- Return proper metadata dict
+
+### 3. Integrate into Unified Entry Point
+- Add `_generate_text_to_video_wavespeed()` to `main_video_generation.py`
+- Route to appropriate service based on model
+- Handle async/sync properly
+
+### 4. Test and Validate
+- Test with real API calls
+- Verify all features work
+- Ensure backward compatibility
+
+### 5. Add Remaining Models
+- Follow same pattern for LTX-2 Pro, Fast, Retake
+- Reuse common logic
+- Model-specific differences only
+
+## Model Selection
+
+**Starting Model:** **HunyuanVideo-1.5**
+- Most commonly used
+- Good documentation availability
+- Standard parameters
+
+**Alternative:** Any model you prefer - we'll follow the same pattern.
+
+## Ready for Documentation
+
+The structure is ready. Please provide:
+1. **HunyuanVideo-1.5 API documentation**
+2. **Any specific requirements or features**
+3. **Pricing information** (if available)
+
+Once provided, I'll implement the service following the established pattern.