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https://github.com/deepseek-ai/deepseek-harness
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e27d38efd6
A composition that shares one `isolate` realm across rows needs a `cordis:group` row, and a preset living outside this workspace — the authored ones under the Harness home — cannot resolve `@cordisjs/plugin-group` by name: Node's upward `node_modules` walk never reaches the harness from there. Registering it as a loader builtin beside `cordis:include` loads both through the ambient module pipeline instead. Record it in the preset Agent Note, which leans on the realm vocabulary without saying where the group row comes from, and drop the preset README's limitation claiming this builtin is unavailable — it described the state this change ends. The test's assertion had a vacuous escape: `provide` mints the root symbol unconditionally, so the `rootKey === undefined` disjunct could never hold and the comment claiming the root realm never learned the name was wrong. Pin both halves — the symbol exists, nothing is stored under it — and clean up the global the fixture writes.
DeepSeek Harness Python SDK
English | 中文
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 / deepseek_harness |
High-level turns API and lower-level JSON-RPC client |
| sdk-runtime | deepseek-harness-runtime-bin / deepseek_harness_runtime |
Bundled runtime binaries and default agent configuration |
Behavior
The SDK starts the matching bundled runtime unless the caller selects an explicit channel. The client owns channel selection and default-configuration injection; the runtime itself always requires an explicit configuration. The SDK reference and runtime carrier reference own the complete resolution and configuration contracts.
Contributor workflows
The Python contributor workflows cover building runtime artifacts, validating the packages, source-mode development, and distribution.