Delete constraints the model learns from the call result, shorten implementation detail, and move per-parameter rules into the owning parameter descriptions. Bash, pwsh, and fs share one sandbox_permissions description in dsh-sandbox. The standard preset's first-turn prompt drops from 7985 to 6551 tokens. Compaction threshold snapshots lower their context windows by the 1548-token tool-schema estimate reduction so each trigger keeps its position; their fixtures move to v4 generations.
485 lines
21 KiB
TypeScript
485 lines
21 KiB
TypeScript
/**
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* The model-facing `workflow` tool: run a JavaScript orchestration script that fans out
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* subagents, and return the script's final value. It owns the model-facing schema and run lifecycle; script
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* parsing, execution, caps, and cancellation live behind `ctx.workflowEngine`
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* (`@deepseek-ai/dsh-workflow`), so a hardened engine swaps in without touching what the model
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* sees. Foreground execution awaits `run.result` and always disposes the run; non-completed reasons
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* become tool errors. `run_in_background: true` instead registers the run as an owned `ctx.jobs` job
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* and returns its id immediately — the job's output ring streams live progress, and the run's value
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* arrives with the job's completion notice. Presentation is an args-only generic card
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* titled from `meta.name`. Explicit-ask usage guidance is registered as the tool's own prompt
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* section rather than deployment persona prose.
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* @module @deepseek-ai/dsh-tool-workflow
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*/
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import type { Context } from '@deepseek-ai/cordis'
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import z from '@deepseek-ai/schemastery'
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import { defineTool } from '@deepseek-ai/dsh-tools'
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import type { ToolCallView, ToolResultView } from '@deepseek-ai/dsh-tools'
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import type { Agent } from '@deepseek-ai/dsh-agent'
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import type { ContentBlock } from '@deepseek-ai/dsh-llm'
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import type { JobId, JobOutcome } from '@deepseek-ai/dsh-jobs'
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import type { Session, SessionEventMap } from '@deepseek-ai/dsh-session'
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import type { JsonValue } from '@deepseek-ai/dsh-util-values'
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import type {
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WorkflowResult, WorkflowRun, WorkflowRunId, WorkflowStopReason,
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} from '@deepseek-ai/dsh-workflow'
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import { createWorkflowRecordMirror } from './record.ts'
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import type { WorkflowRecordMirror } from './record.ts'
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import type {
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ToolWorkflowAgentEndData, ToolWorkflowAgentStartData,
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ToolWorkflowRunEndData, ToolWorkflowRunStartData,
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} from './types.ts'
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declare module '@deepseek-ai/dsh-jobs' {
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interface JobKindMap {
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workflow: 'workflow'
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}
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}
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export const name = 'tool-workflow'
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export const inject = ['tools', 'workflowEngine', 'systemPrompt']
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/** Config: the model-facing tool name plus result rendering caps. */
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export interface Config {
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/** The model-facing tool name to register (default `workflow`). */
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toolName?: string
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/** Rendered-result ceiling, in characters: a longer JSON value is truncated with a notice (default 50000). */
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maxResultChars?: number
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/**
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* Expose `run_in_background` (default true); disabled calls are also
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* rejected. A background run needs a live `ctx.jobs` registry with a
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* controller serving the caller (`dsh-jobs-local` plus `dsh-tool-jobs` in
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* the shipped composition); without one the call fails with the missing
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* piece named.
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*/
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enableRunInBackground?: boolean
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}
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export const Config: z<Config> = z.object({
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toolName: z.string().default('workflow'),
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maxResultChars: z.natural().min(1).default(50_000),
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enableRunInBackground: z.boolean().default(true),
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})
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type ResolvedConfig = Required<Config>
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interface WorkflowRecorder {
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start(session: Session, run: WorkflowRun): void
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finish(runId: WorkflowRunId, stopReason: WorkflowStopReason): void
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abandon(runId: WorkflowRunId): void
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}
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interface ToolWorkflowRecordEventMap {
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'tool-workflow/run-start': ToolWorkflowRunStartData
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'tool-workflow/agent-start': ToolWorkflowAgentStartData
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'tool-workflow/agent-end': ToolWorkflowAgentEndData
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'tool-workflow/run-end': ToolWorkflowRunEndData
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}
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/** Render a contained recording failure without trusting the thrown value. */
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function renderRecordingError(error: unknown): string {
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try {
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return String(error)
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} catch {
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return '[unrenderable thrown value]'
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}
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}
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/**
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* Project active top-level workflow runs into their parent Sessions without
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* letting recording failure affect tool execution.
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*/
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function createWorkflowRecorder(ctx: Context): WorkflowRecorder {
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const active = new Map<WorkflowRunId, Session>()
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const append = <Type extends keyof ToolWorkflowRecordEventMap>(
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session: Session,
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type: Type,
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data: SessionEventMap[Type],
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): boolean => {
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// These four package-owned events are all log-only. Narrowing the generic
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// append face here discharges Session.append's conditional options tuple.
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const appendRecord = session.append.bind(session) as <Event extends keyof ToolWorkflowRecordEventMap>(
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event: Event,
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value: SessionEventMap[Event],
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) => void
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try {
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appendRecord(type, data)
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return true
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} catch (error: unknown) {
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ctx.logger.warn(`tool-workflow: disabled durable record after ${type} append failed: ${renderRecordingError(error)}`)
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return false
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}
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}
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ctx.on('workflow/agent-start', (info, agent) => {
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const session = active.get(info.id)
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if (session === undefined) return
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const data: ToolWorkflowAgentStartData = {
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runId: info.id,
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seq: agent.seq,
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label: agent.label,
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...agent.phase === undefined ? {} : { phase: agent.phase },
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childId: agent.childId,
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}
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if (!append(session, 'tool-workflow/agent-start', data)) active.delete(info.id)
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})
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ctx.on('workflow/agent-end', (info, agent) => {
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const session = active.get(info.id)
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if (session === undefined) return
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const data: ToolWorkflowAgentEndData = {
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runId: info.id,
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seq: agent.seq,
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outcome: agent.outcome,
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}
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if (!append(session, 'tool-workflow/agent-end', data)) active.delete(info.id)
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})
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return {
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start(session, run) {
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if (append(session, 'tool-workflow/run-start', { runId: run.id, name: run.meta.name })) {
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active.set(run.id, session)
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}
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},
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finish(runId, stopReason) {
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const session = active.get(runId)
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if (session !== undefined) append(session, 'tool-workflow/run-end', { runId, stopReason })
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active.delete(runId)
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},
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abandon: (runId) => { active.delete(runId) },
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}
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}
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/**
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* The script-authoring contract, embedded in the tool description: the hooks,
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* their exact semantics, and the supported schema subset. Parameter-level
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* rules live in the parameter descriptions.
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*/
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const DESCRIPTION = `Run a JavaScript workflow script that orchestrates subagents at scale. Use this for work that fans out across many independent pieces — an audit over many files, a migration, multi-angle research, adversarial verification of findings — where you write the orchestration as a script instead of delegating turn by turn.
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Script-body hooks:
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- \`agent(prompt, opts?): Promise<any>\` — run one subagent to completion. Without \`opts.schema\` it resolves to the child's final text; with \`opts.schema\` (an object-rooted JSON Schema using ONLY type/properties/required/additionalProperties/items/enum/const/oneOf) it resolves to the validated object. Resolves \`null\` when the child fails (filter with \`.filter(Boolean)\`). Other opts: \`label\` (display), \`phase\` (progress group), and independent \`provider\`/\`model\` LLM target overrides.
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- \`pipeline(items, ...stages): Promise<any[]>\` — run each item through the stages independently with NO barrier between stages (prefer this for multi-stage work). Each stage receives \`(prev, item, index)\`. A stage throw drops that ITEM to \`null\` and skips its remaining stages.
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- \`parallel(thunks): Promise<any[]>\` — run zero-argument functions concurrently and await ALL of them (a barrier; use only when a stage genuinely needs every prior result together). A throwing thunk resolves to \`null\`.
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- \`phase(title)\` — start a progress phase; \`log(message)\` — narrate progress; \`args\` — the tool call's \`args\` input, verbatim.
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Misused hooks (bad arguments, unknown options, unsupported schemas, tripped caps) end the whole script instead of producing \`null\`. The script has no filesystem, network, timer, or Node.js APIs; the agents do the work.`
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type WorkflowCallArgs = {
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script: string
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meta: {
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name: string
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description: string
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whenToUse?: string
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phases?: { title: string; detail?: string; provider?: string; model?: string }[]
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}
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args?: Record<string, unknown>
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run_in_background?: boolean
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}
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/** The pending-state card: a generic card titled by the workflow's meta name. */
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function presentWorkflowCall(args: WorkflowCallArgs): ToolCallView {
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return {
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card: 'generic',
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title: `workflow: ${args.meta.name}`,
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rawInput: args.script,
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}
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}
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/** The completed-state card: keep the pending title; render the result content as-is. */
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function presentWorkflowResult(args: WorkflowCallArgs, result: { content: ContentBlock[]; isError: boolean }): ToolResultView {
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void args
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void result
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return { card: 'generic' }
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}
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/** A non-`completed` stop reason means the script did not finish cleanly. */
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function stopReasonError(result: WorkflowResult): string | undefined {
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switch (result.stopReason) {
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case 'completed':
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return undefined
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case 'cancelled':
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return `workflow run was cancelled${result.error !== undefined ? ` (${result.error})` : ''}`
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case 'error':
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return `workflow run failed: ${result.error ?? 'unknown error'}`
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/* v8 ignore start -- defensive: WorkflowStopReason is a closed union, exhaustive by construction; a future variant fails here loudly */
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default:
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return `workflow run ended abnormally (${String(result.stopReason satisfies never)})`
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/* v8 ignore stop */
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}
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}
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/**
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* Map a settled background run onto the job outcome vocabulary. A completed
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* run carries the rendered return value as the job's result; a
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* cancelled run leaves the detail to the registry's kill-reason merge (the
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* cancel reason it forwarded is the same string); an errored run fails with
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* the script's failure message.
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*/
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function jobOutcomeOf(result: WorkflowResult, name: string, maxChars: number): JobOutcome {
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switch (result.stopReason) {
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case 'completed':
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return {
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status: 'completed',
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detail: `${result.agentsStarted} agent${result.agentsStarted === 1 ? '' : 's'}`,
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result: renderResult(name, result.agentsStarted, result.value as JsonValue, maxChars),
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}
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case 'cancelled':
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return { status: 'killed' }
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case 'error':
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return { status: 'failed', detail: result.error ?? 'unknown error' }
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/* v8 ignore start -- defensive: WorkflowStopReason is a closed union, exhaustive by construction; a future variant fails here loudly */
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default:
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return { status: 'failed', detail: `workflow run ended abnormally (${String(result.stopReason satisfies never)})` }
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/* v8 ignore stop */
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}
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}
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/** Render the run's outcome text: the meta name, agent count, and the JSON value (capped). */
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function renderResult(name: string, agentsStarted: number, value: JsonValue, maxChars: number): string {
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// The engine returns JSON data (null for a valueless script), so stringify never yields undefined.
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const rendered = JSON.stringify(value, null, 2)
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const clipped = rendered.length > maxChars
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? `${rendered.slice(0, maxChars)}\n… [truncated: ${rendered.length - maxChars} more characters]`
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: rendered
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return `workflow "${name}" completed (${agentsStarted} agent${agentsStarted === 1 ? '' : 's'}).\nReturn value:\n${clipped}`
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}
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/**
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* Register a background run as an owned job. The engine run is started
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* inside the job starter with no tool-step signal — the run belongs to the
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* job, so a registry kill or owner teardown is what cancels it — and its
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* settlement is the job's settlement: dispose, stop the mirrors, then map the
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* stop reason onto the job outcome (a completed run's rendered return value
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* rides `result` to the model's first read after settlement).
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* @param ctx - plugin context (engine, optional jobs registry, logger).
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* @param args - the validated tool call.
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* @param parent - the calling agent; owns the job.
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* @param recordsRun - whether this top-level call records durable run events.
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* @param deps - the tool's recorder/mirror taps and the render cap.
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* @returns the background result for the tool's output schema.
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*/
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function startBackgroundRun(
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ctx: Context,
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args: WorkflowCallArgs,
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parent: Agent,
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recordsRun: boolean,
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deps: { recorder: WorkflowRecorder; mirror: WorkflowRecordMirror; maxResultChars: number },
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): { kind: 'background'; jobId: JobId; runId: WorkflowRunId } {
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const jobs = ctx.get('jobs')
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if (jobs === undefined) {
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throw new Error('background jobs unavailable: load @deepseek-ai/dsh-jobs and @deepseek-ai/dsh-tool-jobs')
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}
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let run!: WorkflowRun
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const jobId = jobs.start({
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kind: 'workflow',
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label: args.meta.name,
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owner: parent.id,
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run: (job) => {
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// A synchronous engine rejection (META_INVALID/SCRIPT_PARSE) propagates
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// out of the starter, so the registry registers nothing and the model
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// sees the violation list as an ordinary tool error.
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run = ctx.workflowEngine.start({
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script: args.script,
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meta: args.meta,
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...args.args !== undefined ? { args: args.args } : {},
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parent,
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})
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deps.mirror.start(run.id, job)
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if (recordsRun) deps.recorder.start(parent.session, run)
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const done = run.result.then(async (result): Promise<JobOutcome> => {
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try {
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// Keep member listeners alive through disposal: an engine may
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// synthesize cancelled member endings while reaching quiescence.
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await run.dispose()
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} catch (error: unknown) {
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// done must not reject; a failed disposal still has a settled result to report.
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ctx.logger.warn(`background workflow run ${run.id} dispose failed: ${String(error)}`)
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}
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deps.mirror.stop(run.id)
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if (recordsRun) {
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deps.recorder.finish(run.id, result.stopReason)
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deps.recorder.abandon(run.id)
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}
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return jobOutcomeOf(result, args.meta.name, deps.maxResultChars)
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})
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return {
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cancel: (reason?: string) => { run.cancel(reason ?? 'background workflow job killed') },
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done,
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}
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},
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})
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return { kind: 'background' as const, jobId, runId: run.id }
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}
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export function apply(ctx: Context, config: Config): void {
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// schemastery (the exported Config schema) has already filled the defaulted
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// fields; the assertion records that resolution, not a hidden fallback.
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const { toolName, maxResultChars, enableRunInBackground } = config as ResolvedConfig
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const recorder = createWorkflowRecorder(ctx)
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const mirror = createWorkflowRecordMirror(ctx)
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// Usage policy ships with the tool (the master convention: tool guidance
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// lives in tool plugins as prompt sections, not in the deployment persona).
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ctx.systemPrompt.section({
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name: `tool:${toolName}`,
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order: ctx.systemPrompt.getSectionOrder('TOOL_WORKFLOW'),
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text: `Use the ${toolName} tool ONLY when the user explicitly asks for a workflow or for large multi-agent orchestration: you write a JavaScript script (the tool description documents the exact format) that fans work out across many subagents with phases and structured results. For one or two delegations, prefer plain subagent calls.`,
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})
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ctx.tools.register(defineTool({
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name: toolName,
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description: DESCRIPTION,
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parameters: {
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script: {
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type: 'string',
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required: true,
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description: 'The plain JavaScript body, not TypeScript and without an `export const meta` statement; top-level await is allowed. '
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+ 'End with `return <value>`; the JSON-serializable value is this tool\'s result.',
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},
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meta: {
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type: 'object',
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additionalProperties: true,
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required: true,
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description: 'The workflow identity as plain JSON, not code.',
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properties: {
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name: { type: 'string', required: true, description: 'Short kebab-case workflow name.' },
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description: { type: 'string', required: true, description: 'One-line description of what the workflow does.' },
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whenToUse: { type: 'string', description: 'Optional guidance on when this workflow applies.' },
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phases: {
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type: 'array',
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description: 'Optional phase declarations matched by phase() calls.',
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items: {
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type: 'object',
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additionalProperties: true,
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properties: {
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title: { type: 'string', required: true, description: 'The phase title phase() calls match by exact string.' },
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detail: { type: 'string', description: 'Optional one-line description of the phase.' },
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provider: { type: 'string', description: 'Optional provider override this phase is expected to use.' },
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model: { type: 'string', description: 'Optional model override this phase is expected to use.' },
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},
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},
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},
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},
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},
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args: {
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type: 'object',
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additionalProperties: true,
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description: 'Optional JSON input exposed to the script as the `args` global (wrap a bare list as a field, e.g. {"files": [...]}).',
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},
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...enableRunInBackground ? {
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run_in_background: {
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type: 'boolean' as const,
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description: 'Run as a background job: return a job id immediately instead of waiting; the return value arrives with the completion notice.',
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},
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} : {},
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},
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output: {
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schema: {
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oneOf: [
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{
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type: 'object',
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additionalProperties: false,
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properties: {
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kind: { type: 'string', required: true, const: 'background' },
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jobId: { type: 'string', required: true },
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runId: { type: 'string', required: true },
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},
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},
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{
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type: 'object',
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additionalProperties: false,
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properties: {
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kind: { type: 'string', required: true, const: 'foreground' },
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runId: { type: 'string', required: true },
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agentsStarted: { type: 'integer', required: true },
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result: { type: 'json', required: true },
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},
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},
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],
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},
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render: (args, value) => [{
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type: 'text',
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text: value.kind === 'background'
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? `workflow "${args.meta.name}" started in the background as job ${value.jobId}. Its return value arrives with the completion notice; check on it with job_output, stop it with job_kill.`
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: renderResult(args.meta.name, value.agentsStarted, value.result, maxResultChars),
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}],
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},
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async execute(args, exec) {
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const parent = exec.agent
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if (!parent) {
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// The loop sets `exec.agent` for every model-driven call; its absence
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// means a non-agent caller invoked the tool directly, which has no
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// parent to attribute the children to. Fail loud rather than guess.
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throw new Error('workflow tool requires a calling agent (exec.agent was undefined)')
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}
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if (args.run_in_background === true) {
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if (!enableRunInBackground) {
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throw new Error('run_in_background is disabled for this tool')
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}
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// No pre-abort check here, unlike bash/pwsh: ToolRuntime re-reads the
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// caller signal right before execute(), and this branch reaches
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// jobs.start synchronously from there. The shell tools await a
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// sandbox escalation approval before registering, which is the window
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// their check covers.
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return startBackgroundRun(ctx, args, parent, exec.parent === undefined, {
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recorder,
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mirror,
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maxResultChars,
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})
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}
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// Meta/body validation failures (META_INVALID/SCRIPT_PARSE) throw
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// synchronously here and become isError results via the registry — the
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// model sees the violation list and can correct the call.
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const run = ctx.workflowEngine.start({
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script: args.script,
|
|
meta: args.meta,
|
|
...args.args !== undefined ? { args: args.args } : {},
|
|
parent,
|
|
signal: exec.signal,
|
|
})
|
|
const recordsRun = exec.parent === undefined
|
|
// The engine publishes member events after start() returns and this run record is active.
|
|
if (recordsRun) recorder.start(parent.session, run)
|
|
|
|
// Bridge the tool's abort signal to the run: if the parent step is aborted while the
|
|
// script is in flight, cancel the whole run. The signal also enters the engine directly, but
|
|
// this local bridge preserves the tool contract even if an implementation ignores it.
|
|
const onAbort = (): void => { run.cancel('parent step aborted') }
|
|
exec.signal.addEventListener('abort', onAbort, { once: true })
|
|
|
|
let result: WorkflowResult | undefined
|
|
try {
|
|
result = await run.result
|
|
const error = stopReasonError(result)
|
|
if (error !== undefined) {
|
|
// Map a non-clean finish to an isError result (the registry turns a
|
|
// throw into an isError). Report the reason, not partial output.
|
|
throw new Error(error)
|
|
}
|
|
return {
|
|
kind: 'foreground' as const,
|
|
runId: run.id,
|
|
agentsStarted: result.agentsStarted,
|
|
result: result.value as JsonValue,
|
|
}
|
|
} finally {
|
|
exec.signal.removeEventListener('abort', onAbort)
|
|
try {
|
|
// Keep member listeners alive through disposal: an engine may
|
|
// synthesize cancelled member endings while reaching quiescence.
|
|
await run.dispose()
|
|
if (recordsRun) {
|
|
/* v8 ignore next -- WorkflowRun.result never rejects by contract, so result is assigned before finally. */
|
|
if (result === undefined) throw new Error('workflow run settled without a result')
|
|
recorder.finish(run.id, result.stopReason)
|
|
}
|
|
} finally {
|
|
if (recordsRun) recorder.abandon(run.id)
|
|
}
|
|
}
|
|
},
|
|
presentCall: args => presentWorkflowCall(args),
|
|
presentResult: (args, result) => presentWorkflowResult(args, result),
|
|
}))
|
|
}
|