# YouTube Creator AI Call Optimization Report ## Current AI Call Analysis ### 1. Video Planning (`planner.py`) - **Current**: 1 AI call (`llm_text_gen`) to generate video plan - **Status**: ✅ Optimized - Single call for complete plan - **Optimization Potential**: None (necessary for quality) ### 2. Scene Generation (`scene_builder.py`) - **Current**: - 1 AI call (`llm_text_gen`) to generate all scenes - Enhancement calls based on duration: - Shorts: 0 calls (skip enhancement) ✅ - Medium: 1 call (batch enhancement) ✅ - Long: 2 calls (split batch enhancement) ✅ - **Status**: ✅ Already optimized - **Optimization Potential**: Combine plan + scenes for shorts (save 1 call) ### 3. Audio Generation (`renderer.py`) - **Current**: 1 external API call per scene (`generate_audio`) - **Status**: ⚠️ Can be optimized - **Optimization Potential**: - Shorts: Batch all narrations into 1-2 calls - Medium/Long: Batch narrations in groups of 3-5 scenes ### 4. Video Generation (`renderer.py`) - **Current**: 1 external API call per scene (`generate_text_video` - WaveSpeed) - **Status**: ✅ Cannot optimize (API limitation - one video per call) - **Optimization Potential**: None (external API constraint) ## Optimization Strategy ### Shorts (≤60 seconds, ~8 scenes) **Current**: 1 (plan) + 1 (scenes) + 0 (enhancement) + 8 (audio) = **10 calls** **Optimized**: 1 (plan+scenes combined) + 0 (enhancement) + 2 (batched audio) = **3 calls** **Savings**: 70% reduction (7 fewer calls) ### Medium (1-4 minutes, ~12 scenes) **Current**: 1 (plan) + 1 (scenes) + 1 (enhancement) + 12 (audio) = **15 calls** **Optimized**: 1 (plan) + 1 (scenes) + 1 (enhancement) + 3 (batched audio) = **6 calls** **Savings**: 60% reduction (9 fewer calls) ### Long (4-10 minutes, ~20 scenes) **Current**: 1 (plan) + 1 (scenes) + 2 (enhancement) + 20 (audio) = **24 calls** **Optimized**: 1 (plan) + 1 (scenes) + 2 (enhancement) + 5 (batched audio) = **9 calls** **Savings**: 62.5% reduction (15 fewer calls) ## Implementation Plan 1. ✅ Combine plan + scene generation for shorts (save 1 call) - **IMPLEMENTED** 2. ⚠️ Audio generation: Cannot batch (each scene needs separate audio file - external API limitation) 3. ✅ Keep video generation as-is (external API limitation) ## Final Optimized Call Counts ### Shorts (≤60 seconds, ~8 scenes) **Before**: 1 (plan) + 1 (scenes) + 0 (enhancement) + 8 (audio) = **10 calls** **After**: 1 (plan+scenes combined) + 0 (enhancement) + 8 (audio) = **9 calls** **Savings**: 10% reduction (1 fewer call) **Note**: Audio calls are necessary per scene (external API limitation) ### Medium (1-4 minutes, ~12 scenes) **Before**: 1 (plan) + 1 (scenes) + 1 (enhancement) + 12 (audio) = **15 calls** **After**: 1 (plan) + 1 (scenes) + 1 (enhancement) + 12 (audio) = **15 calls** **Savings**: Already optimized (enhancement batched) **Note**: Audio calls are necessary per scene (external API limitation) ### Long (4-10 minutes, ~20 scenes) **Before**: 1 (plan) + 1 (scenes) + 2 (enhancement) + 20 (audio) = **24 calls** **After**: 1 (plan) + 1 (scenes) + 2 (enhancement) + 20 (audio) = **24 calls** **Savings**: Already optimized (enhancement batched) **Note**: Audio calls are necessary per scene (external API limitation) ## Key Optimizations Implemented 1. **Shorts Optimization**: Combined plan + scene generation into single AI call - Saves 1 LLM text generation call - Maintains quality by generating both in one comprehensive prompt 2. **Scene Enhancement Batching**: Already optimized - Shorts: Skip enhancement (0 calls) - Medium: Batch all scenes (1 call) - Long: Split into 2 batches (2 calls) 3. **Audio Generation**: Cannot be optimized further - Each scene requires separate audio file - External API (WaveSpeed) limitation - one audio per call - This is necessary for quality (each scene has unique narration) 4. **Video Generation**: Cannot be optimized - External API (WaveSpeed WAN 2.5) limitation - One video per API call is required ## Quality Preservation All optimizations maintain output quality: - Combined plan+scenes for shorts uses comprehensive prompt - Batch enhancement maintains scene consistency - No quality loss from optimizations