Compress By Light Reach

What it does

Compress by LightReach cuts LLM costs by combining lossless prompt compression with intelligent model routing. Instead of just sending prompts to one provider, it compresses repeated context, chooses the cheapest model that still meets your quality target, and works through an OpenAI-compatible API. Teams also get visibility into savings, budgets, and usage by team or feature.

Compress routes, prepares, and executes AI work in a private cloud, then returns a result with tool activity, cost, and verification attached.

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  AgentReadyFeb 2026 · agentready.cloud · ▲118

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  Frugon – Find which LLM calls a cheaper model could handle (local, MIT)Jul 2026 · github.com · ▲67

  I started leaning in on AI heavily this year, as I wanted to get more done autonomously, but then my token usage climbed dramatically to the point where my weekly quota would run out before the end of the week, sometimes a couple of days into the week. I realised I had to do something about it else I'd have to double my spend. So I decided to start tracking my cost per task type. This revealed that a lot of my spend went to searches/scans or simple things like scouting tasks. I then decided to turn this into a simple CLI tool that can be used to read your OpenAI-style logs locally, and…

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