creatixchu
4779f054b6
Move the IMAGE_OFFLOAD_REQUIRED recovery out of llm-retry into the new @deepseek-ai/dsh-compaction-image-offload package, a sibling of the tool-result pruner: image offload is compaction in another capacity dimension. Each replaced node is priced through the seam's compaction/prune shadow-price protocol before its marked copy lands. llm-retry returns to master; the base bundle mounts the executor.
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.