{"slug": "open-source-llmslim-semantic-prompt-compression-for-llm-applications", "title": "Open Source: llmslim – Semantic Prompt Compression for LLM Applications", "summary": "Developer released llmslim, an open-source Python package that compresses prompts, chat histories, and RAG contexts using semantic chunking and extractive ranking, achieving up to 60% token reduction. The tool aims to reduce costs and latency for LLM applications.", "body_md": "Published my first open-source Python package: llmslim.\n\nIt compresses prompts, chat histories, and RAG contexts using semantic chunking + extractive ranking before sending them to an LLM.\n\nExample:\n\n2847 tokens → 1138 tokens (60% reduction)\n\nLooking for feedback from the HF community on:\n\nContributions and criticism welcome.", "url": "https://wpnews.pro/news/open-source-llmslim-semantic-prompt-compression-for-llm-applications", "canonical_source": "https://discuss.huggingface.co/t/open-source-llmslim-semantic-prompt-compression-for-llm-applications/176833#post_1", "published_at": "2026-06-15 23:20:59+00:00", "updated_at": "2026-06-15 23:24:13.062844+00:00", "lang": "en", "topics": ["large-language-models", "ai-tools"], "entities": ["llmslim", "Hugging Face"], "alternates": {"html": "https://wpnews.pro/news/open-source-llmslim-semantic-prompt-compression-for-llm-applications", "markdown": "https://wpnews.pro/news/open-source-llmslim-semantic-prompt-compression-for-llm-applications.md", "text": "https://wpnews.pro/news/open-source-llmslim-semantic-prompt-compression-for-llm-applications.txt", "jsonld": "https://wpnews.pro/news/open-source-llmslim-semantic-prompt-compression-for-llm-applications.jsonld"}}