Node's built-in fetch ignores HTTP_PROXY, so every harness request connected directly regardless of what the user exported. Resolve one policy from the launch environment and install it as undici's global dispatcher, then wire the four surfaces a global dispatcher cannot reach: web_fetch's pinned transport, the OTLP exporter's node:http agent, the E2B SDK's own proxy option, and the environment a child process or worker thread is given. Each outbound call site carries an egress test that drives its real code path through a fake proxy; that measurement is what found the OTLP and E2B gaps.
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.