Files
deepseek-harness/python
creatixchu 6329c53a37 refactor(llm-retry, session): offload images by surface replacement instead of a watermark event
Drop the image/offload event and every session change with it. An adapter's
IMAGE_OFFLOAD_REQUIRED failure now makes dsh-llm-retry replace the surface
nodes carrying the named oldest images with copies whose blocks are marked
offloaded, through the same surfaceOp: replace compaction uses, then retry the
step. ImageBlock.offloaded becomes a durable field the routes project and the
token meter prices; the session core, its event map, derivation, and
validation return to master.
2026-09-08 12:00:35 +08:00
..

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.