Move the shared module-reload policy into dsh-base by inserting its HMR row disabled, then remove the redundant disabled overrides from Web, headless, SDK, and ACP. No shipped profile enables server module reload; live profile patch watching continues through the launcher-owned config-only fallback, and browser client HMR remains a separate mechanism.
A later profile layer can opt into source-module reload explicitly with disabled: false while retaining the base root configuration. Composition tests cover every shipped mode and the explicit enable path, and the bundle references plus launcher Agent Notes document the resulting ownership and safety rationale.
Replace the standalone @deepseek-ai/dsh-acp-demo application with dsh --profile acp plus ordered example patches. The shipped acp-app bundle owns only the protocol bridge; every example overlay now targets shared dsh-base rows instead of copying a complete application tree.
Move launcher responsibilities into the ACP snapshot harness: it materializes profile patches, links required packages, reserves stdout for JSON-RPC, observes spawn and drain failures, and escalates process teardown deterministically. The relocated control-surface fixture and the ACP/subagent integration tests now exercise the real CLI/profile path.
This commit contains authored runtime, configuration, and test changes only. Generated transcript and projection churn is deliberately left for the next commit so reviewers can inspect the migration logic without hundreds of expected-output edits.
Introduce @deepseek-ai/dsh-acp-app as the thin application layer for the built-in acp profile. It contributes only the ACP protocol bridge and profile metadata; dsh-base remains the single owner of shared agent composition, providers, persistence, permissions, and tools.
Wire the bundle into CLI resolution, catalogs, workspace configuration, and built-bin coverage. The focused bundle and startup tests prove that base plus acp-app exposes automation sessions while keeping stdout reserved for ACP JSON-RPC.
Tianyi Cui