Beaker Setup
Set up, configure, or onboard a Python repository as a Beaker prompt-optimization consumer while isolating tooling under .beaker, leaving production runtime behavior unchanged, and never adding or modifying tests. Use when adding Beaker, scaffolding or completing a Beaker @spec factory, configuring beaker.yaml at the repository root or in a nested project, connecting real prompts and labeled data…
Beaker Usage
Operate an already-configured Beaker prompt-optimization integration. Use when the developer asks to launch a hosted Beaker run, choose a GitHub branch or dataset, compare or optimize selected models, use Harness Optimization, list or inspect runs, monitor run status, download results, or cancel a run. Do not use to scaffold or repair the Beaker spec; use beaker-setup for setup work.