PACKAGE_MANIFEST.md

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:

   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):

   python -m build
   twine upload dist/*