Plug-and-Play Context Compression for Any LLM API — CRISP

I recently built CRISP (Compressed Retrieval and Intelligent Semantic Processing), a Python library that acts as a lightweight, modular wrapper around any LLM API. It allows you to process massive conversation histories and complex datasets (like meeting transcripts) while only sending the most semantically dense context to your API provider. The goal is simple: maximize the information-per-token ratio in LLM pipelines. The Problem Prompts often contain context bloat—redundant, r...