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RTK: Optimize LLM Tokens Straight from the CLI

RTK is a high-performance CLI proxy that filters and compresses output from Terminal commands before sending it to Large Language Models (LLMs), reducing token consumption by 60-90%.

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Sources github.com

RTK is a high-performance CLI proxy that filters and compresses output from Terminal commands before sending it to Large Language Models (LLMs), reducing token consumption by 60-90%.

Why It's Notable

RTK stands out for its ability to significantly slash LLM API costs and speed up response times. Built in Rust, this tool delivers exceptional performance with a single binary, supporting over 100 common commands with ultra-low latency (<10ms) to ensure a seamless experience while maximizing resource efficiency.

Who It's For

This tool is ideal for developers, AI engineers, and anyone who frequently interacts with LLMs via the command line. If you are looking to cut costs for sessions with AI assistants like Claude or ChatGPT, or want to work more efficiently when analyzing logs, debugging code, or processing data with AI assistance, RTK is the solution you need.

Quick Comparison

While you can use LLMs directly without optimization or write complex manual preprocessing scripts, RTK offers a much more efficient and automated solution. Manual approaches are often time-consuming, inconsistent, and hard to scale, whereas RTK handles token compression intelligently and transparently.

How to Get Started

You can easily install RTK via Homebrew:

bash brew install rtk Then, simply configure RTK to run as a proxy between your commands and the LLM API.

Repo: rtk-ai/rtk • 50297★

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