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Effortlane

Effortlane is a local router for Codex on macOS that picks model and reasoning effort with Jev before each user turn, keeps native ChatGPT authentication, and records routing evidence locally. Shadow mode logs recommendations without changing execution.
See highlightsOpen github.com
Stars
2
Language
Python
License
MIT
Reading time
3 min
Published by
Community
Author
itscloud0
Last verified
Oct 2026
Tagscommunitycatalog-importlogicrwcodexroutingreasoning-effort
Works forJev for RoutingJev for Decision gating
Used inJev for Software & DevTools
Languages
PythonShell
Platforms
CLImacOS
Capabilities
Open sourceRequires API key

Highlights

  • Selects model and reasoning effort from your Codex catalog before a user turn, deciding between turns so one executor handles a turn's tool calls.
  • Shadow mode keeps the real executor and effort while recording what Effortlane would recommend; fresh installs default the CLI wrapper to Auto.
  • One-command install via install.sh; the installer asks for the decision-service key with hidden input and backs up your Codex configuration.
  • The README is explicit that subscription savings and quality gains are not yet proven; Codex CLI on macOS is the implemented path.
  • Local evidence records routes, cache counters and failures; effortlane native-shadow enable keeps Desktop and Remote native via documented hooks.

Quickstart

bash
curl -fsSL https://raw.githubusercontent.com/itscloud0/effortlane/main/install.sh | sh
~/.local/bin/codex --effortlane-shadow

Watch out

Grounded in the truncated README and GitHub metadata read on 2026-10-15. The README badges and install script point at a repository named effortlane while this manifest URL is codex-jev-native-router, and the project is labelled experimental: Desktop Auto is opt-in, and the external decision service may have its own cost.

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