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How to cut Claude Code token use with one wrap command with Headroom

Run Claude Code through a local Headroom proxy to shrink tool outputs before each request.

Who it is forA developer using Claude Code daily on a large codebase who sees token costs climb during long sessions.

The problemTool outputs such as search results, logs and file reads fill the context window and add cost on every turn.

The outcomeClaude Code runs routed through Headroom, and you can see how many tokens were saved on your own traffic.

What you need first

  • Python 3.13 with uv, or pip, to install the headroom-ai package
  • An account with an LLM provider such as Anthropic or OpenAI
  • A coding agent or app that sends prompts through an API

Steps

  1. Install the CLI with uv tool install --python 3.13 "headroom-ai[all]"
  2. Run headroom doctor to confirm routing works
  3. Start a wrapped session with headroom wrap claude
  4. Work as usual, then check results with headroom savings
  5. Remove the wrapping later with headroom unwrap claude (inferred, check the README)

Prompt for your agent

Using the repo headroomlabs-ai/headroom, install the CLI, run `headroom doctor`, then start a session with `headroom wrap claude` in the project at <project-path>. Report the output of `headroom savings` after a short session. Verify that doctor reports routing as working before you start.

Caveat. Savings depend on how repetitive the payload is, and the README notes prose and already dense output compress very little.

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