LLM Systems Need Better Handling: A Safe Prompt-Pruning Layer for Conversations

A major problem in long-running conversations with Large Language Models (LLMs) is that the prompt payload grows out of control, loaded with redundant and irrelevant information. This can cause performance to slow down drastically, making it hard to understand what’s happening in the conversation.

To solve this issue, I created a deterministic pipeline that trims away unnecessary state before the model even sees the input.