💻 ContextOps: Static Analysis for LLM Context
ContextOps has been released — a tool for the static analysis of LLM application context. It works like ESLint for prompts, identifying redundancy, density, and structural imbalance before the inference stage. The tool provides a Context Health Score (CHS) ranging from 0 to 100.
🌍 The emergence of context quality control tools allows for the standardization of LLM system development, transforming "prompt engineering" into an engineering discipline. This is critically important for scalable RAG.
👤 Use ContextOps (pip install contextops) to check prompts and RAG pipelines for unnecessary content, saving tokens and improving responses.