Lowfat cuts long CLI output to save LLM tokens
Lowfat is a tool that shortens long command output. It helps an AI agent avoid reading text it does not need. The maker says it saved 91.8% of their LLM tokens over 2 months of personal use.
Key points
- It keeps the useful parts of long kubectl, grep, and git diff output.
- It can run as an AI agent hook or a shell wrapper.
- Its plugin system lets users make different filters for different commands.
- It may help teams lower LLM token costs when agents read large command outputs.
Quick term guide
- AI agent
- An AI program that can inspect information and suggest what to do next.
- LLM tokens
- Small pieces of text that an AI model counts when reading or writing.
- tokens
- Tokens are small pieces of text that AI systems count when reading or writing.
- plugin system
- A setup that lets users add or change features with small add-on parts.
- plugin
- An add-on that gives the agent extra abilities.
- token costs
- Token costs are the fees paid for the text an AI model reads and writes.
- token cost
- The money or usage spent when sending text to an AI model and getting text back.
- agents
- AI helpers that follow your instructions and make changes for you.