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workflow: rename dsh-workflow-vm to dsh-workflow-workerthread

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Pure mechanical rename now that the package's internals are the
worker-thread engine: directory, package name, spec/e2e filenames,
module tags and logger prefixes, tsconfig/knip/run-gates/AGENTS.md
references, example cordis.yml plugin ids, doc links; catalogs
regenerated and the lockfile refreshed.
This commit is contained in:
imccyu
2026-07-09 19:06:55 +08:00
parent d5c65e2b4c
commit 0d11a3afc7
43 changed files with 59 additions and 59 deletions
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packages/workflow/workflow/README.md
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# @deepseek-ai/dsh-workflow
The **workflow seam** (`ctx.workflows`): an abstract service defining WHAT a workflow engine does — execute a model-written orchestration script that fans out subagents — without saying HOW. The bash-shaped third of the [workflow family](../README.md): implementations subclass `WorkflowService` and register as the `workflows` service (one per context); [`dsh-workflow-vm`](../workflow-vm/README.md) (one worker thread per run) is the implementation, and [`dsh-tool-workflow`](../tool-workflow/README.md) is the model-facing consumer.
The **workflow seam** (`ctx.workflows`): an abstract service defining WHAT a workflow engine does — execute a model-written orchestration script that fans out subagents — without saying HOW. The bash-shaped third of the [workflow family](../README.md): implementations subclass `WorkflowService` and register as the `workflows` service (one per context); [`dsh-workflow-workerthread`](../workflow-workerthread/README.md) (one worker thread per run) is the implementation, and [`dsh-tool-workflow`](../tool-workflow/README.md) is the model-facing consumer.
## Service: `WorkflowService` (abstract)

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packages/workflow/workflow/src/index.ts
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* that fans out subagents — without saying HOW. Implementations subclass
* {@link WorkflowService} and register as the `workflows` service (one
* implementation per context, cordis' standard duplicate-service behavior);
* the implementation is `@deepseek-ai/dsh-workflow-vm`, which runs each
* the implementation is `@deepseek-ai/dsh-workflow-workerthread`, which runs each
* script in its own worker thread. Hardened engines (an isolated-vm or
* separate-process sandbox) swap in without touching the model-facing tool
* that consumes them (`@deepseek-ai/dsh-tool-workflow`).