@vizuh/sabi-commandcode: Sabi for Command Code

This is the Command Code satellite of Sabi. The routing layer is the product: @vizuh/sabi-router.

Sabi is harness-independent adaptive inference scheduling for coding-agent trajectories: per-round routing of model, effort and provider from trajectory evidence, while each host harness keeps its own loop. Sabi promotes no single harness; every host below is a peer surface with its own install path.

This npm artifact is the Command Code mod — one Sabi surface, not the whole product. See the adapter directory for the product map and evidence boundaries.

| Harness | Sabi surface | Install | | --- | --- | --- | | Claude Code | Controller hooks (task/session, fail-open) | npm install --global @vizuh/sabi-controller then sabi setup | | Codex | Controller hooks (task/session, fail-open) | npm install --global @vizuh/sabi-controller then sabi setup | | Command Code | This package: in-process mod, per-round model + reasoning effort | cmd mods add -g npm:@vizuh/sabi-commandcode | | Hermes | Local proxy + native llm_request middleware | Checkout-based setup in the install guide | | Oh My Pi | Local proxy via OpenAI-compatible extension provider | Checkout: omp --extension packages/adapters/oh-my-pi/src/sabi-extension.mjs --model sabi/sabi-code | | OpenCode | Local proxy, plus optional controller hook | Checkout-based proxy (npm start + npm run connect:opencode); hooks via @vizuh/sabi-controller | | Orca | Controller plugin + inventory/dispatch bridge | npm install --global @vizuh/sabi-controller then sabi setup | | DeepSeek Harness, Kilo, Cline, Prime Agent | Proxy or bundle paths | See the adapter directory |

Adaptive inference scheduling for Command Code: a mod that plans each continuing round, including model and reasoning effort, from the trajectory's own state (tool calls and their results, failure evidence, context size). Round 1 always runs on your session model; from round 2 on, a read round goes cheap, edits and tests go mid, and a failing tool escalates.

This package is the mod only. The local proxy (BYOK, for any harness that accepts a baseURL) lives in the repository.

The two paths are independent:

• The Command Code mod needs no Sabi provider key or proxy. It routes the subscription already available to Command Code.
• The local proxy works with Hermes, Oh My Pi, OpenCode, and other OpenAI-compatible clients (including Cline, Kilo and Prime Agent paths). It uses OpenRouter, Ollama, or another configured upstream. In the shipped default the OpenRouter upstream is free-models-only (paidModelsAllowed: false): a priced model id is refused before the request leaves the process, so the proxy cannot spend on its own.

For the proxy, Sabi loads only the credential names referenced by sabi.config.json. Existing environment variables win, followed by SABI_SECRETS_FILE, the nearest workspace secrets/.env, and ~/.config/sabi/secrets.env or ~/.config/sabi/.env. It does not copy loaded values into generated harness configuration or logs. If you use a workspace secrets/.env, that source file is already in the worktree: keep it out of version control, add it to .gitignore, and protect its file permissions. Users who do not use Jev can set judge.enabled to false; users without a central secrets file can keep exporting provider variables normally.

Install

cmd mods add -g npm:@vizuh/sabi-commandcode

Update

cmd mods update

Uninstall

cmd mods remove sabi

Configuration

The package ships a default sabi.config.json next to the bundle, so it works with no setup. To change tiers, policy or telemetry, put your own sabi.config.json in the project you run in, or at ~/.config/sabi/sabi.config.json; both take precedence over the shipped default (or set SABI_CONFIG to point at one explicitly).

harness.tiers defaults to the strongest Command Code ids available from the Go plan up. A model that is listed by cmd --list-models is not necessarily covered by your plan: an out-of-plan tier answers 403 MODEL_NOT_IN_PLAN and fails that round, so check the ids against your plan.

Docs, decisions and the full changelog: https://github.com/vizuh/sabi