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* feat(i18n): key translation pairing records by heading section Replace the whole-file blob hashes in *.i18n.yaml with one entry per heading section that still holds language-specific content, keyed by the English heading-slug path. Blocks identical across the pair (generated table rows, code blocks, shared regions) stay out of the hash, so edits to different sections and identical regenerations merge with Git's default text merge, including on GitHub. Remove the dsh-translation-pairing merge driver, its resolver command and installer wiring; gen-translation-brief recovers last-confirmed text from commit history. Migrate all active records, archive the superseded Agent Note, and record the replayed conflict reduction in the new one. * test(i18n): refresh translation prompt snapshot for the terminology note * feat(i18n): exclude only code blocks and generated regions from pairing records Replace byte-equality masking with an explicit rule: a record hash skips fenced code blocks and BEGIN/END GENERATED regions, the two kinds of content the pairing gate already requires to be identical on both sides. Move generated data into regions written into both pages: gen-config-catalog renders both languages and the record with per-package regions labelled by code identifiers; gen-module-graph keeps its table in a region; gen-doc-graphs splices the event matrix regions into the Chinese page. Add a generic region splice beside the region grammar.
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-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.