# Warbler CDA Package - Complete File List

## Package Structure (21 core files + infrastructure)

### Core RAG System (9 files)

✓ warbler_cda/retrieval_api.py - Main RAG API with hybrid scoring
✓ warbler_cda/semantic_anchors.py - Semantic memory with provenance
✓ warbler_cda/anchor_data_classes.py - Core data structures
✓ warbler_cda/anchor_memory_pool.py - Performance optimization
✓ warbler_cda/summarization_ladder.py - Hierarchical compression
✓ warbler_cda/conflict_detector.py - Conflict detection
✓ warbler_cda/castle_graph.py - Concept extraction
✓ warbler_cda/melt_layer.py - Memory consolidation
✓ warbler_cda/evaporation.py - Content distillation

### STAT7 System (4 files)

✓ warbler_cda/stat7_rag_bridge.py - STAT7 hybrid scoring bridge
✓ warbler_cda/stat7_entity.py - STAT7 entity system
✓ warbler_cda/stat7_experiments.py - Validation experiments
✓ warbler_cda/stat7_visualization.py - Visualization tools

### Embeddings (4 files)

✓ warbler_cda/embeddings/__init__.py
✓ warbler_cda/embeddings/base_provider.py - Abstract interface
✓ warbler_cda/embeddings/factory.py - Provider factory
✓ warbler_cda/embeddings/local_provider.py - Local TF-IDF embeddings
✓ warbler_cda/embeddings/openai_provider.py - OpenAI embeddings

### Production API (2 files)

✓ warbler_cda/api/__init__.py
✓ warbler_cda/api/service.py - FastAPI service (exp09_api_service.py)
✓ warbler_cda/api/cli.py - CLI interface (exp09_cli.py)

### Utilities (2 files)

✓ warbler_cda/utils/__init__.py
✓ warbler_cda/utils/load_warbler_packs.py - Pack loader
✓ warbler_cda/utils/hf_warbler_ingest.py - HF dataset ingestion

### Infrastructure Files

✓ warbler_cda/__init__.py - Package initialization
✓ requirements.txt - Dependencies
✓ pyproject.toml - Package metadata
✓ README.md - Documentation
✓ app.py - Gradio demo for HuggingFace
✓ .gitignore - Git exclusions
✓ LICENSE - MIT License
✓ DEPLOYMENT.md - Deployment guide
✓ README_HF.md - HuggingFace Space config
✓ setup.sh - Quick setup script
✓ transform_imports.sh - Import transformation script

## Total Files: 32 files

## Import Transformations Applied

All imports have been transformed from:

- `from seed.engine.X import Y` → `from warbler_cda.X import Y`
- `from .X import Y` → `from warbler_cda.X import Y`

Privacy hooks have been removed (not needed for HuggingFace deployment).

## Size Estimate

Total package size: ~500KB (source code only)
With dependencies: ~2GB (includes PyTorch, Transformers, etc.)

## Next Steps

1. Test the package locally:

   ```bash
   cd warbler-cda-package
   ./setup.sh
   python app.py
   ```

2. Deploy to HuggingFace:
   - Set HF_TOKEN in GitLab CI/CD variables
   - Push to main or create a tag
   - Pipeline will auto-sync to HuggingFace Space

3. Publish to PyPI (optional):

   ```bash
   python -m build
   twine upload dist/*
   ```