3 ms·
We measured 62% token reduction
- base76 7mo agoWe measured 62% token reduction on academic text with 92% semantic integrity. Not a claim. A measurement. Live, today, on our own research papers. How it works: → Local LLM compresses the prompt → Embedding model validates: cosine similarity ≥ 0.90 → Below threshold? Raw text sent instead. No silent loss. This runs as middleware inside CognOS Gateway — before every upstream API call. Client → [compress + validate] → OpenAI / Claude / Mistral / Ollama 40-62% API cost reduction. Semantic integrity guaranteed or fallback. Code + methodology: #AI #LLM #MLOps #AIInfrastructure #TokenEfficiency
- jappleseed987 7mo ago[dead]