Dynamic Prompt Compression API
You're paying for whitespace, repeated context, and formatting slop in every prompt. This strips it.
The Problem
Large context windows filled with document ingestion data, chat history, and system prompts routinely contain 20–40% redundant tokens — whitespace, repeated phrases, verbose markup — that cost money without improving output quality.
The Solution
A middleware module that algorithmically compresses incoming prompts: deduplicates repeated context, strips non-semantic whitespace, normalizes verbose formatting, and summarizes long chat histories — reducing token count by 25–35% with no measurable quality loss.
Why You Have No Choice
At $0.005 per 1K tokens on GPT-4o, a 30% reduction on 1M tokens/month = $150/month saved. At scale this is significant. Zero quality tradeoff for well-structured content.
Code Preview
This is what you'll drop into your codebase. The full package includes all configuration options and integrations.
// prompt-compressor.ts — wrap your prompt before sending
import { compressPrompt } from './prompt-compressor'
const messages = buildChatHistory(userId) // potentially 50K tokens
// Compress before sending
const { compressed, tokensSaved, ratio } = compressPrompt(messages, {
strategy: ['whitespace', 'dedup', 'summarize-history'],
targetTokenReduction: 0.30, // aim for 30% reduction
preserveSystemPrompt: true,
})
console.log(`Saved ${tokensSaved} tokens (${ratio}x compression)`)What's in the Package
TypeScript middleware function. Drop-in replacement for any prompt assembly pipeline.
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