The original title is "How I Built a Prompt Compressor That Saves 65% on LLM Costs"

Short summary

SuperCompress is an open-source, lightweight CPU policy that optimizes LLM inference by filtering irrelevant context before processing, achieving 65% token reduction while maintaining 100% oracle recall. The 5K-parameter model scores each context line for relevance and eliminates padding. Available as a pip package, REST API, or live demo.

• •65% token reduction with 100% answer quality preservation
• •Lightweight 5K-parameter CPU policy avoids unnecessary GPU processing
• •Open source (MIT), includes pip package, REST API, and live demo

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