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proposalexperiment writeup candidatescore 24

DLM Package Reorganization Plan

**Split Plan:** 1. **base.py** (~200 lines) - Base classes and utilities 2. **chat_model.py** (~800 lines) - BaseChatModel, ChatArtificial 3. **ai_interface.py** (~1,200 lines) - AI class with main interface 4. **completion.py** (~600 lines) - Completion logic 5. **streaming.py** (~400 lines) - Streaming functionality 6. **embeddings.py** (~400 lines) - Embedding cache and utilities

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**Goal**: Improve code organization while maintaining all functionality for the conversation/chatbot system. **Approach**: Create logical subfolders, split mega files, consolidate duplicates. ### Large Files Requiring Split 1. **inference/artificial.py** - 3,692 lines (AI chatbot core) 2. **inference/prompt.py** - 2,153 lines (prompt templates) 3. **response/links.py** - 2,084 lines (link handling) 4. **response/motion.py** - 1,783 lines (motion techniques) 5. **response/system.py** - 1,521 lines (response system) 6. **engine/embedder.py** - 1,543 lines (duplicate - to deprecate) ### Module Count - **inference/**: 12 files (10,620 lines total) - **response/**: 71 files (organized but needs subfolder cleanup) - **engine/**: 20 files (some duplicates) ### Migration Steps 1. Create new subfolder structure 2. Split artificial.py (3,692 lines) into 6 focused modules 3. Split generator.py (1,433 lines) into 3 modules 4. Split prompt.py (2,153 lines) into 3 modules 5. Move files to appropriate subfolders 6. Update all imports 7. Test thoroughly

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