v0.4.1

First PyPI release under the new ctxoptimizer name.

Install

uv tool install ctxoptimizer
# or
pipx install ctxoptimizer
ctxoptimizer run

Upgrade with uv tool upgrade ctxoptimizer or pipx upgrade ctxoptimizer.
There is no built-in self-update command.

Highlights

• Local, deterministic cost optimizer for AI coding agents.
• Shadow/active modes, provider usage and cost tracking, cache diagnostics,
  waste findings, deterministic transforms, and a local dashboard.
• MIT licensed; no activation key, paid tier, or telemetry.
• Wheel/sdist only; no standalone binaries or OS code-signing warnings.
• PyPI upload uses Trusted Publishing and PEP 740 attestations; GitHub build
  provenance is attached to the release workflow.

Assets

• wheel and sdist
• SHA256SUMS

Package page: https://pypi.org/project/ctxoptimizer/0.4.1/

v0.4.0

First MIT open-source release.

Historical release. Standalone binaries were removed after v0.4.0 in favour
of wheel-only distribution. Use a newer release or install from source.

Install

The PyPI package is not published yet. Install from GitHub:

uv tool install "git+https://github.com/ahmed-dev25/ctxproxy.git"
ctxproxy run

You can also install the attached wheel manually. Git is required for the Git
install.

Highlights

• Local, deterministic cost optimizer for AI coding agents.
• Shadow/active modes, provider usage and cost tracking, cache diagnostics,
  waste findings, deterministic transforms, and a local dashboard.
• MIT licensed; no activation key or paid tier.
• No built-in updater: upgrade with uv tool upgrade ctxproxy or
  pipx upgrade ctxproxy.

Assets

• wheel and sdist
• SHA256SUMS

No standalone binaries are distributed.