docs: document package model experience
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The model-facing **`workflow` tool**: run a JavaScript orchestration script that fans out subagents, and return the script's final value. Pure schema + lifecycle shaping over [`ctx.workflows`](../workflow/README.md) — script parsing, execution, caps, and cancellation live behind the seam, so a hardened engine swaps in without touching what the model sees.
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## Model Experience
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| Context surface | What the model sees | Token effect |
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| System prompt and tool schema | The parent model receives a short use-only-for-large-orchestration section plus the `workflow` schema. The schema description carries the complete JavaScript hook and metadata contract; the model submits script, metadata, and optional args. | Substantial but fixed per-request guidance and schema cost while visible. |
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| Tool-call history and result | The full model-written script, metadata, and args remain in the assistant tool call. The result contains the workflow name, child count, and final JSON value or a shaped error; intermediate child messages are omitted. | Call tokens can be large and remain until compaction. Result rendering is capped by `maxResultChars`; child-model tokens are separate from the parent's retained context. |
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## What the model sees
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Two parameters: `script` (required — the full `export const meta = {...}` + body text; the tool DESCRIPTION carries the complete authoring contract: hooks, semantics, the supported schema subset) and `args` (optional JSON object exposed to the script as the `args` global; a bare list is wrapped as a field, a deliberate deviation from Claude Code's any-JSON `args` so the wire schema stays honest). The plugin also contributes a `tool:<toolName>` system-prompt section carrying the usage policy — use the tool only on an explicit user ask for a workflow / large orchestration; prefer plain subagent calls for one or two delegations — per the convention that tool guidance ships with the tool plugin, never in the deployment persona.
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Three parameters: `script` (required JavaScript body with top-level await and return, but no `export const meta` statement; the tool description carries the complete hooks and semantics contract), `meta` (required plain-JSON identity with name, description, and optional usage and phase guidance), and `args` (optional JSON object exposed as the `args` global; wrap a bare list in a field). The plugin also contributes a `tool:<toolName>` system-prompt section carrying the usage policy — use the tool only on an explicit user ask for a workflow or large orchestration; prefer plain subagent calls for one or two delegations — per the convention that tool guidance ships with the tool plugin, never in the deployment persona.
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## Lifecycle
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The [`WorkflowService`](../workflow/README.md) implementation, on **`node:worker_threads`**: each run gets its OWN worker thread (one run = one worker, no pooling — a run is heavyweight, so the ~tens-of-ms thread spin-up is noise), the script executes in a vm context INSIDE that worker with the workflow hooks injected, and every `agent()` call bridges back over the message port to [`ctx.subagents`](../../subagent/README.md) on the host. Child agents are I/O-bound LLM loops and stay on the host event loop; the thread isolates the SCRIPT, the only part that can spin synchronously.
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## Model Experience
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| Context surface | What the model sees | Token effect |
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| Child-agent requests | Every script `agent()` call sends its prompt and optional model or structured-output schema to a subagent provider. Each child sees that provider's own context; phase and log narration stays on observer events. | Potentially many independent child contexts are paid, bounded by `maxConcurrentAgents`, `maxTotalAgents`, and `maxItemsPerCall`; they never join the parent history directly. |
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| Parent tool result, indirectly | The parent sees only the script's materialized final JSON value, child count, or error through `dsh-tool-workflow`. Intermediate child outputs are available to the script but not the parent model. | Zero direct parent tokens from this engine. Final result size is capped by the tool consumer and retained until compaction. |
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## Trust premise: what the thread buys (and what it does not)
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Workflow scripts are **model-written** — the same trust level as the model's existing bash access — so this engine defends against **buggy** scripts, never hostile ones. A worker thread is NOT a security boundary: the vm context inside it is escapable by construction (`node:vm` shares object machinery with its surrounding realm, so a script can reach the `Function` constructor via `globalThis.constructor.constructor` and from it `process` and every Node builtin), and an escapee holds the same process privileges as the host — Node's permission model is process-wide. The absent globals are API surface that keeps honest scripts portable, not walls. What the thread concretely buys:
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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.
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## Model Experience
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| Context surface | What the model sees | Token effect |
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| None directly | The service seam and `workflow/*` observer events register no prompt, schema, or message. `dsh-tool-workflow` renders the parent-facing contract and final value; an engine decides which child prompts run. | Zero direct tokens. Parent result and child contexts affect tokens only through the consumer and implementation. |
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## Service: `WorkflowService` (abstract)
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`start(request: WorkflowStartRequest): WorkflowRun` — parse and execute a script. Throws synchronously (`SCRIPT_PARSE`/`META_INVALID`) for a script that cannot begin; once a run is returned, its `result` NEVER rejects — every failure resolves with `stopReason: 'error'` (or `'cancelled'`) — and once the run is cancelled, `result` settles within the implementation's bounded grace even if the script itself never settles (a consumer awaiting `result` must never be wedged past a cancellation). `dispose()` must reach quiescence within a bounded grace (cancel → wait for the script to settle and its children to finish disposing → abandon), never hanging its caller. Runs are HOLDER-owned: the engine does not track its live runs, so disposing the engine's fiber mid-run leaves each run to its holder's teardown.
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