SuperCompress is now on PyPI! pip install supercompress in 1 line

SuperCompress, a prompt compressor that reduces LLM costs by up to 65%, is now available on PyPI. The tool uses a 5K-parameter CPU policy to score context relevance before sending only essential information to the LLM. Developer Arjun Shah released the package for one-line installation via pip.

I just published SuperCompress to PyPI 🎉 pip install supercompress — that's all it takes. A tiny ~5K parameter CPU policy that scores every line of context for relevance before sending to the LLM. It keeps only what matters for the answer. python pip install supercompress from supercompress import compress result = compress context, question print f"Saved {result 'kv savings pct' }% tokens" Try the interactive comparison tool: https://supercompress.vercel.app/compare https://supercompress.vercel.app/compare Or read the technical deep-dive: https://dev.to/arjunkshah/how-i-built-a-prompt-compressor-that-saves-65-on-llm-costs-3m80 https://dev.to/arjunkshah/how-i-built-a-prompt-compressor-that-saves-65-on-llm-costs-3m80 GitHub: https://github.com/arjunkshah/supercompress https://github.com/arjunkshah/supercompress PyPI: https://pypi.org/project/supercompress/ https://pypi.org/project/supercompress/