Two had real security consequences: The bootstrap rejection ran on npm dotenv's parser while process.loadEnvFile applied the file with Node's own. Two independently maintained dialects meant the check and the thing it guards could disagree: a name Node accepts but the checker misses would reach process.env unchecked, and BASH_ENV there runs a file of the project's choosing on every `bash -c` the bash tool issues. Parse once with node:util's parseEnv — the same engine loadEnvFile uses — and assign the entries already checked, which also drops the dotenv dependency. llm-pi-ai still returned a literal profile.apiKey ahead of everything, and it registers a settings namespace, so the defect removed from llm-deepseek survived intact in its design twin. The field is gone from the profile schema, the resolution path, and the tests. The rest are consistency and documentation defects the review named: - verify-config-source-ownership did not scan the Python runtime's bundled cordis.yml, which still inlined apiKey and baseURL. Both are covered now, and the line-anchored INLINE_DENY documents that it is a tripwire, not a parser. - The deny list missed NODE_TLS_REJECT_UNAUTHORIZED, the askpass hooks, the GIT_CONFIG_* redirections, and PYTHONHOME — all implied by its own stated rule about what a variable does. - Snapshot lookups folded case on Windows, where environment names are case-insensitive and an exact-match Map could miss a higher-ranked layer. - The credentials note claimed a read-time permission check was "not taken" while this PR implemented it; the credentials-local README still described two layers, live process.env reads, dotenv-era limitations, and a renamed anchor; the llm-deepseek README still advertised the removed literal apiKey; and web.ts and base.cordis.yml kept personal-overlay wording. - The ownership note's literal-apiKey claim now names its scope: the web-search providers keep a literal field but register no settings namespace, so nothing can shadow a stored credential through them.
DeepSeek Harness Python SDK
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Python packages for driving DeepSeek Harness as a subprocess: a client SDK that spawns the dsh-jsonrpc-agent binary and talks newline-delimited JSON-RPC over stdio. The runtime carrier is the single-file executable produced by this repo; design, build, and acceptance details live in .agents/notes/implemented/architecture/2026-07-10-single-file-executable-sdk-runtime-distribution.md.
Packages
| Directory | Dist / module | Role |
|---|---|---|
| sdk | deepseek-harness / deepseek_harness |
Client SDK: the DeepSeekHarness high-level turns API and the lower-level HarnessClient JSON-RPC client |
| sdk-runtime | deepseek-harness-runtime-bin / deepseek_harness_runtime |
Runtime carrier: locates the bundled runtime binaries and ships the default agent configuration |
Building the runtime executable
The platform executables are build artifacts, not checked into git. From the repo root:
pnpm install
pnpm exec tsx scripts/build-exe-for-python-sdk.ts # host platform, ~2 min
pnpm exec tsx scripts/build-exe-for-python-sdk.ts --skip-build # lib/ artifacts already built
pnpm exec tsx scripts/build-exe-for-python-sdk.ts --targets=node24-linux-x64,node24-linux-arm64,node24-macos-arm64
Products land in dist-exe/ and are synced into this package as sdk-runtime/src/deepseek_harness_runtime/runtime/dsh-jsonrpc-agent-pkg-<platform>-<arch> (platform: linux/macos; arch: x64/arm64); macOS builds also sync the matching -spawn-helper required by node-pty. After a local build the SDK finds the runtime with no further setup. The build-exe-for-python-sdk CI workflow (manual dispatch, or the build-exe PR label) exercises the same products. A full three-target run retains four release wheels; a subset dispatch retains the SDK wheel and selected platform wheels. Which plugins the exe bundles and how the carriers are organized: sdk-runtime README; the build also refreshes the dev-only node carrier (see "against the Node source" below).
Validating the SDK against the executable
export UV_PROJECT_ENVIRONMENT="$PWD/tmp/py-sdk-venv" # keep the venv out of python/
uv sync --project python/sdk --group test
uv run --project python/sdk pytest python/sdk/tests/test_bundled_runtime.py # boots the real carriers
uv run --project python/sdk pytest # full suite; keyless tests included
For an interactive check (needs DEEPSEEK_API_KEY in the environment or the repo-root .env):
from deepseek_harness import DeepSeekHarness
with DeepSeekHarness() as harness:
print(harness.run("say hi").final_response) # auto-resolution picks the bundled exe
Running the SDK against the Node source (no executable)
Two flavors, both for repo members:
- Built node carrier — set
DSH_RUNTIME_MODE=nodeand the SDK runsruntime/node/node_modules/@deepseek-ai/dsh-jsonrpc-demo/lib/bin.json the system Node (>= 22.19). The tree is refreshed on every build-script run and is the same dependency closure the exe snapshots, so plugin semantics are identical. Never auto-selected, never distributed. - Unbuilt source (tsx) — point the client straight at the bin's TypeScript source for edit-run loops and debugging:
launch_args_override=("./node_modules/.bin/tsx", "packages/examples/jsonrpc-demo/src/bin.ts")withcwdat the repo root, plus a config viacordis=...(or rely on the default-config injection). sdk/tests/manual_sdk_agent_smoke.py is the worked example.
Distributing the Python packages
The root package.json version is authoritative for both Python distributions. The common staging script reads that version, injects it into both wheels, and pins the SDK metadata to the same deepseek-harness-runtime-bin==X.Y.Z; an optional python-vX.Y.Z release tag is accepted only when it matches the repository version. Build the pure SDK wheel once and one runtime wheel on each native platform:
version="$(node -p "require('./package.json').version")"
python scripts/build-python-release.py --package sdk --output-dir dist-python
python scripts/build-python-release.py --package runtime --platform macos-arm64 --runtime-exe dist-exe/dsh-jsonrpc-agent-pkg-macos-arm64 --output-dir dist-python
pip install --find-links dist-python deepseek-harness=="$version"
The runtime distribution is wheel-only and rejects sdist builds, missing executables, and mixed-platform payloads. Its three wheel tags are py3-none-manylinux_2_28_x86_64, py3-none-manylinux_2_28_aarch64, and py3-none-macosx_11_0_arm64; the SDK remains py3-none-any. A matching python-vX.Y.Z tag pipeline builds these four non-conflicting files and publishes them together, so a normal pip install deepseek-harness==X.Y.Z selects the matching runtime wheel and import deepseek_harness needs no runtime_bin.
Zero-config semantics
The runtime binary itself always requires an explicit config ($DSH_CORDIS_CONFIG, or a config path as the first argv argument), has no built-in fallback, and boots only what the config lists. Zero-config is SDK wrapper behavior: when the caller uses no explicit channel, the client injects the runtime package's checked-in default configuration (runtime/cordis.yml) via DSH_CORDIS_CONFIG; any explicit channel wins and disables the injection. The full injection conditions live in the sdk README; the default config's contents and the hard semantic in the sdk-runtime README.
The executable is also a supported direct interface; keep stdin open for the NDJSON JSON-RPC exchange and supply a config explicitly:
DSH_CORDIS_CONFIG=/absolute/path/cordis.yml ./dsh-jsonrpc-agent-pkg-macos-arm64
Test layout
test_client.py is fully keyless (a Python fake runtime is the peer). test_bundled_runtime.py boots each bundled carrier and skips per carrier when its artifact is missing. test_runtime_resolution.py covers the carrier-resolution rules without spawning anything.