Files
deepseek-harness/python
Chinesezjc c388169cff feat(code-runtime-python): add the CPython subprocess backend
Land the PythonCodeRuntime implementation on top of the fd-3 protocol
seam: python3 -I per run, binding namespace over fd 3, RLIMIT_CPU/AS,
wall-clock timer, and SIGTERM->grace->SIGKILL process-group teardown,
with the real-subprocess integration suite.

Fixes three defects surfaced on the source PR's review before they ship:
- boot-write failure resolved a worker-exit through finish()/settle()
  that read wallTimer/onAbort/live in their TDZ, rejecting run() instead;
  the boot write now runs after those bindings and the v8-ignore that hid
  the branch is removed.
- log capture serialized against settlement with no lock while model
  daemon threads keep writing; LogBuffer now owns one shared re-entrant
  lock taken by write/flush_line/push.
- the fd-3 line residual was a subarray view pinning the whole joined
  frame; it is copied into a right-sized Buffer via detachResidual so
  pendingBytes measures what is retained.
2026-08-31 14:14:32 +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.