Send fewer tokens. Get the same answers.
Agents re-send bloated context on every call. Cohesor's Headroom engine compresses the full message array and tool output in-flight — typically removing ~50% of prompt tokens while preserving meaning.
Before & after
Half the tokens, none of the loss.
Original prompt
12,480 tokensSYSTEM: You are a coding assistant... [full file tree, 240 lines] [entire package.json] [verbose npm install log, 180 lines] [previous 9 turns, repeated context] USER: fix the failing test in utils.test.ts
Compressed by Headroom
6,120 tokens · 51% savedSYSTEM: You are a coding assistant... [file tree — relevant paths only] [package.json — deps summarized] [install log — errors + result] [history — salient facts retained] USER: fix the failing test in utils.test.ts
Illustrative. Actual ratios vary by workload; the dashboard shows real per-call savings.
How compression works
Smart compressors, applied in-flight.
Log & output crushing
Verbose install logs, stack traces and command output are distilled to their signal.
Context de-duplication
Repeated file trees and history are collapsed so you don't pay for the same tokens twice.
Tool-output aware
MCP tool results are compressed before they re-enter the model's context window.
~50%
typical prompt reduction
On by default
per-tenant toggle
$ tracked
savings at real model rates
Turn it on and watch tokens drop.
Compression is enabled by default — no config, no code changes.