deepseek-harness/packages/workflow/tool-workflow/src/index.ts

/**
 * 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 — script
 * parsing, execution, caps, and cancellation live behind `ctx.workflows`
 * (`@deepseek-ai/dsh-workflow`), so a hardened engine swaps in without touching what the model
 * sees. Execution awaits `run.result` and always disposes the run; non-completed reasons become tool
 * errors, and background collection remains deferred. Presentation is an args-only generic card
 * titled from `meta.name`. Explicit-ask usage guidance is registered as the tool's own prompt
 * section rather than deployment persona prose.
 * @module @deepseek-ai/dsh-tool-workflow
 */

import type { Context } from 'cordis'
import z from 'schemastery'
import { defineTool } from '@deepseek-ai/dsh-tools'
import type { ToolCallView, ToolResultView } from '@deepseek-ai/dsh-tools'
import type { ContentBlock } from '@deepseek-ai/dsh-llm'
import type { WorkflowResult, WorkflowRun } from '@deepseek-ai/dsh-workflow'
// Declaration merge only: makes ctx.systemPrompt visible for the section registration.
import type {} from '@deepseek-ai/dsh-system-prompt'

export const name = 'tool-workflow'
export const inject = ['tools', 'workflows', 'systemPrompt']

/** Config: the model-facing tool name plus result rendering caps. */
export interface Config {
  /** The model-facing tool name to register (default `workflow`). */
  toolName?: string
  /** Rendered-result ceiling, in characters: a longer JSON value is truncated with a notice (default 50000). */
  maxResultChars?: number
}

export const Config: z<Config> = z.object({
  toolName: z.string().default('workflow'),
  maxResultChars: z.natural().min(1).default(50_000),
})

type ResolvedConfig = Required<Config>

/**
 * The script-authoring contract, embedded in the tool description. This IS the
 * model-facing spec: the meta block, the hooks and their exact semantics, and
 * the supported schema subset.
 */
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.

The workflow's identity rides the \`meta\` parameter as JSON: required \`name\` (short kebab-case) and \`description\` strings, optional \`whenToUse\` string and \`phases\` array (\`{title, detail?, provider?, model?}\`). The \`script\` parameter is the plain JavaScript body ONLY (NOT TypeScript, and NO \`export const meta\` statement — meta is a parameter, not code), running with top-level await; end with \`return <value>\` — the value must be JSON-serializable and is this tool's result.

Script-body hooks:
- \`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 — no oneOf/pattern/format/numeric bounds) 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 (either may be provided alone). Anything else (\`effort\`/\`isolation\`/\`agentType\`) is rejected loudly.
- \`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)\`. An ordinary stage throw drops that ITEM to \`null\` and skips its remaining stages.
- \`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\`.
- \`phase(title)\` — start a progress phase; \`log(message)\` — narrate progress; \`args\` — the tool call's \`args\` input, verbatim.

Misused hooks (bad arguments, unknown options, unsupported schemas, tripped caps) throw errors that ALWAYS kill the script — they never dissolve into a per-item \`null\`.

Constraints: concurrency and total-agent caps apply; no filesystem, network, timers, or Node.js APIs are provided — the agents do the work, the script only coordinates them. The run executes in the foreground: this call returns when the whole script finishes.`

type WorkflowCallArgs = {
  script: string
  meta: {
    name: string
    description: string
    whenToUse?: string
    phases?: { title: string; detail?: string; provider?: string; model?: string }[]
  }
  args?: Record<string, unknown>
}

/** The pending-state card: a generic card titled by the workflow's meta name. */
function presentWorkflowCall(args: WorkflowCallArgs): ToolCallView {
  return {
    card: 'generic',
    title: `workflow: ${args.meta.name}`,
    rawInput: args.script,
  }
}

/** The completed-state card: keep the pending title; render the result content as-is. */
function presentWorkflowResult(args: WorkflowCallArgs, result: { content: ContentBlock[]; isError: boolean }): ToolResultView {
  void args
  void result
  return { card: 'generic' }
}

/** A non-`completed` stop reason means the script did not finish cleanly. */
function stopReasonError(result: WorkflowResult): string | undefined {
  switch (result.stopReason) {
    case 'completed':
      return undefined
    case 'cancelled':
      return `workflow run was cancelled${result.error !== undefined ? ` (${result.error})` : ''}`
    case 'error':
      return `workflow run failed: ${result.error ?? 'unknown error'}`
    /* v8 ignore start -- defensive: WorkflowStopReason is a closed union, exhaustive by construction; a future variant fails here loudly */
    default:
      return `workflow run ended abnormally (${String(result.stopReason satisfies never)})`
    /* v8 ignore stop */
  }
}

/** Render the run's outcome text: the meta name, agent count, and the JSON value (capped). */
function renderResult(run: WorkflowRun, result: WorkflowResult, maxChars: number): string {
  // The engine returns JSON data (null for a valueless script), so stringify never yields undefined.
  const rendered = JSON.stringify(result.value, null, 2)
  const clipped = rendered.length > maxChars
    ? `${rendered.slice(0, maxChars)}\n… [truncated: ${rendered.length - maxChars} more characters]`
    : rendered
  return `workflow "${run.meta.name}" completed (${result.agentsStarted} agent${result.agentsStarted === 1 ? '' : 's'}).\nReturn value:\n${clipped}`
}

export function apply(ctx: Context, config: Config): void {
  // schemastery (the exported Config schema) has already filled the defaulted
  // fields; the assertion records that resolution, not a hidden fallback.
  const { toolName, maxResultChars } = config as ResolvedConfig
  // Usage policy ships with the tool (the master convention: tool guidance
  // lives in tool plugins as prompt sections, not in the deployment persona).
  ctx.systemPrompt.section({
    name: `tool:${toolName}`,
    order: 115,
    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.`,
  })
  ctx.tools.register(defineTool({
    name: toolName,
    description: DESCRIPTION,
    parameters: {
      script: {
        type: 'string',
        required: true,
        description: 'The plain-JS workflow script body (top-level await allowed; NO `export const meta` statement; end with `return <json-value>`).',
      },
      meta: {
        type: 'object',
        required: true,
        description: 'The workflow identity block (plain JSON — never code).',
        properties: {
          name: { type: 'string', required: true, description: 'Short kebab-case workflow name.' },
          description: { type: 'string', required: true, description: 'One-line description of what the workflow does.' },
          whenToUse: { type: 'string', description: 'Optional guidance on when this workflow applies.' },
          phases: {
            type: 'array',
            description: 'Optional phase declarations matched by phase() calls.',
            items: {
              type: 'object',
              properties: {
                title: { type: 'string', required: true, description: 'The phase title phase() calls match by exact string.' },
                detail: { type: 'string', description: 'Optional one-line description of the phase.' },
                provider: { type: 'string', description: 'Optional provider override this phase is expected to use.' },
                model: { type: 'string', description: 'Optional model override this phase is expected to use.' },
              },
            },
          },
        },
      },
      args: {
        type: 'object',
        description: 'Optional JSON input exposed to the script as the `args` global (wrap a bare list as a field, e.g. {"files": [...]}).',
      },
    },
    async execute(args, exec): Promise<ContentBlock[]> {
      const parent = exec.agent
      if (!parent) {
        // The loop sets `exec.agent` for every model-driven call; its absence
        // means a non-agent caller invoked the tool directly, which has no
        // parent to attribute the children to. Fail loud rather than guess.
        throw new Error('workflow tool requires a calling agent (exec.agent was undefined)')
      }

      // Meta/body validation failures (META_INVALID/SCRIPT_PARSE) throw
      // synchronously here and become isError results via the registry — the
      // model sees the violation list and can correct the call.
      const run: WorkflowRun = ctx.workflows.start({
        script: args.script,
        meta: args.meta,
        ...args.args !== undefined ? { args: args.args } : {},
        parent,
        signal: exec.signal,
      })

      // 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 })

      try {
        const 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 [{ type: 'text', text: renderResult(run, result, maxResultChars) }]
      } finally {
        exec.signal.removeEventListener('abort', onAbort)
        // Always reach run quiescence — never leak a live script or children.
        await run.dispose()
      }
    },
    presentCall: args => presentWorkflowCall(args),
    presentResult: (args, result) => presentWorkflowResult(args, result),
  }))
}