Tianyi Cui
ed8f9c2808
The group's convention is package suffix == provider default (subagent-acp/'acp', subagent-spawn/'spawn', subagent-fork/'fork'), and the provider default became dsh-sdk in the last review round — so the package follows: @deepseek-ai/dsh-subagent-dsh-sdk at packages/subagent/subagent-dsh-sdk, plugin name subagent-dsh-sdk, diagnostics prefixed subagent-dsh-sdk:. The dsh echo has precedent (dsh-llm-deepseek). Directory, fixture path, knip/tsconfig/examples registrations, catalogs, READMEs (en+zh), and the Agent Note follow; the sdk-client dispose ladder moves to its own module (src/dispose.ts) with the deterministic FakeChild tier tests restored alongside it.
jsonrpc-agent
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The unattended coding-agent composition for the Python SDK's bundled JSON-RPC runtime. It intentionally loads no terminal UI, console logger, approval surface, or user-interaction tool because stdout belongs to the SDK protocol and turns are driven by the SDK.
The model-facing tools are:
bash, foreground onlyread,write, andeditsubagent, using one foreground in-process spawn providertodo_write
The surrounding runtime also loads JSONL session persistence and automatic context compaction. maxTokensAsSuccess keeps a token-limited model turn as an accepted evaluation result while preserving its max-tokens reason.
Runtime environment
| Variable | Purpose |
|---|---|
DEEPSEEK_API_KEY |
Credential passed to the OpenAI-compatible host endpoint |
DEEPSEEK_BASE_URL |
Host endpoint used by dsh-llm-deepseek |
DSH_CWD |
Agent workspace for bash and filesystem tools |
DSH_MAX_TOKENS_AS_SUCCESS |
true (default) accepts token-limited results; false reports them as errors |
DSH_SESSION_ROOT |
JSONL trajectory directory |
DSH_SYSTEM_PROMPT |
Deployment-provided coding persona |
Pass the config path through the Python SDK's cordis option or DSH_CORDIS_CONFIG. The bundled executable already carries every plugin named by this file; the target machine does not need Node.js.