aweswitch
CLI proxy for switching AI model profiles (Claude Code, Codex, etc.)
aweswitch: CLI proxy for switching AI model profiles (Claude Code, Codex, etc.)
CLI proxy for switching AI model profiles (Claude Code, Codex, etc.)
What the project is
aweswitch is a Python project hosted on GitHub. CLI proxy for switching AI model profiles (Claude Code, Codex, etc.) aweswitch: Agent Profile Switcher A tiny local launcher for switching AI agent runtime profiles. One config, one command . works the same on Ubuntu, macOS, and Windows. Start different agent sessions with different API endpoints, tokens, and models without rewriting global agent config. English · 简体中文 · Webioinfo The repository is maintained by Webioinfo01 and tracks activity through its public issue tracker and commit history. Readers who want a working example rather than a bare library will find the documentation and the linked resources useful for getting a first build running.
What it offers
The aweswitch repository documents several concrete capabilities that shape how people use it. Aweskill . CLI skill package manager for AI agents. Handles skill installation, updates, and projection across 47+ coding agents. Aweshelf . Session bookmark manager for Claude Code and Codex. Bookmark, categorize, and restore sessions with aweswitch profiles. Awerouter . Smart LLM router: routes agents requests to flash (cheap) or pro (strong) providers based on structural signals. List, inspect, add, edit, and delete profiles Apply profiles to settings (aweswitch apply) or restore from backup (aweswitch restore) These points are taken from the project README, so they reflect what the maintainers actually ship rather than marketing claims. Checking the file list and the example directories gives a fuller picture of how each piece fits together.
How to set it up
Getting aweswitch running starts with cloning the source from https://github.com/Webioinfo01/aweswitch. The README lists the commands needed to fetch the code and build or launch it. Representative steps from the documentation include: pip3 install aweswitch pip3 install aweshelf. After the code is on disk, the project instructions walk through configuration and any dependencies. Following the order shown in the README avoids the common setup mistakes that come from mixing steps.
License and project status
aweswitch is written primarily in Python and is released under the MPL-2.0 license, which sets the terms for reuse and redistribution. The project reports around 25 stars on GitHub, a signal of how many developers have bookmarked it. The source was last updated on 2026-08-21. The canonical location is https://github.com/Webioinfo01/aweswitch, where the license file, the changelog and the open issues give the most current state of the work. Anyone planning to depend on it should read the license text directly before shipping it inside another product.
Editorial conclusion
The aweswitch source lives at https://github.com/Webioinfo01/aweswitch under the MPL-2.0 license and is mainly written in Python. The README and the linked examples remain the place to confirm the current behaviour before adopting the project.
Community notes