2 commits

Author	SHA1	Message	Date
chopratejas	da74341858	Add hierarchical memory system with graph + vector storage ... Implement comprehensive memory system supporting: - Local backend (SQLite + FTS5 + HNSW) for zero-dependency operation - Mem0 backends (Neo4j + Qdrant) for production graph memory - DirectMem0Adapter for optimized pre-extracted data (bypasses LLM) - Memory extraction with facts, entities, and relationships - Proxy integration with --memory flag for automatic memory injection Key components: - headroom/memory/backends/: LocalBackend, Mem0Backend, DirectMem0Adapter - headroom/memory/system.py: MemorySystem with tool-based interface - headroom/memory/extraction.py: Entity and relationship extraction - headroom/proxy/memory_handler.py: Proxy integration layer - headroom/prediction/feature_extractor.py: Content analysis features Testing: - 217 new memory system tests covering all backends - LoCoMo evaluation framework for memory quality assessment - Integration tests for proxy memory functionality Also removes deprecated example files in favor of focused test coverage.	2026-01-26 21:58:47 -08:00
Tejas Chopra	2fd9552102	Add image token compression with trained ML router ... Introduces automatic image compression for LLM requests, reducing token usage by 40-90% while maintaining answer accuracy. Key features: - Trained MiniLM classifier (93.7% accuracy) hosted on HuggingFace - SigLIP-based image analysis for content-aware routing - Provider-specific compression: - OpenAI: detail="low" parameter - Anthropic: PIL resize to 512px - Google: PIL resize to 768px (tile-optimized) - Four compression techniques: full_low, preserve, crop, transcode - Integration in both Headroom proxy and SDK (ContentRouter) New files: - headroom/image/ module with ImageCompressor API - docs/image-compression.md user documentation - tests/test_image_compressor.py (51 tests) Model: chopratejas/technique-router on HuggingFace (~128MB)	2026-01-25 22:40:43 -08:00