# Open Source: llmslim – Semantic Prompt Compression for LLM Applications > Source: > Published: 2026-06-15 23:20:59+00:00 Published my first open-source Python package: llmslim. It compresses prompts, chat histories, and RAG contexts using semantic chunking + extractive ranking before sending them to an LLM. Example: 2847 tokens → 1138 tokens (60% reduction) Looking for feedback from the HF community on: Contributions and criticism welcome.