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Move `load_workspace_dependencies` and the primary-runtime payload logic out of `apps/desktop-host` into `@deepseek-ai/dsh-tool-workspace-dependencies` so profiles other than Desktop can mount the same tool. Desktop keeps its behavior through the package. Two additions for carriers that are not Electron applications: - `root` is optional: without it the payload is validated and used in place (no copy under the Harness home), which suits read-only container layers. - `runtime.json` accepts `linux`, and the `node` / `pnpm` components are optional; the returned paths and the tool output omit what the payload does not ship. The `sdk` profile mounts the tool and `@deepseek-ai/dsh-skill-office` when `DSH_PRIMARY_RUNTIME` names a payload directory (its sibling `office-skills/` carries the skill resources); both rows stay disabled otherwise. Both packages join the Python runtime closure.
DeepSeek Harness Python SDK
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Python packages for driving DeepSeek Harness as a subprocess. The client SDK communicates with the bundled runtime over newline-delimited JSON-RPC on stdio.
Packages
| Directory | Dist / module | Role |
|---|---|---|
| sdk | deepseek-harness-sdk / deepseek_harness |
High-level turns API and lower-level JSON-RPC client |
| sdk-runtime | deepseek-harness-runtime-bin / deepseek_harness_runtime |
Bundled dsh CLI executable and native sidecars |
Behavior
The SDK starts the matching bundled dsh --profile sdk runtime unless the caller selects another dsh executable or profile. The runnable minimal example selects the shipped standalone sdk-minimal profile; the same runtime also packages dsh web and its frontend assets for separate CLI use. Every launch requires an explicitly selected Harness home; Python never silently reads ~/.dsh. The SDK reference and runtime carrier reference own runtime selection, profiles, patches, and external plugin management.
Contributor workflows
The Python contributor workflows cover building runtime artifacts, validating the packages, source-mode development, and distribution.