- proposed/testing -> implemented/testing with the lifecycle rewrite (Proposal->Decision in present tense, Acceptance criteria + Risks folded into Consequences); zh counterpart mirrored and both pairs re-recorded. - the rejected NIH-audit roll-up pair now links the implemented/ path. - loader-smoke README: captured output is bounded by execa's default 100 MB maxBuffer, no longer unbounded. - acp-snapshot README: harness.ts now also imports vitest (vi.waitFor), so the vitest-run-only constraint names both modules. - jsonrpc keyless smoke: raise the invalid-env case's subprocess deadline to 25s (the 9s pick starved a cold tsx boot on slow NFS).
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.