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@ai-sdk/workflow-harness\n\nRun an AI SDK `HarnessAgent` (Claude Code, Codex, Pi) as a **durable workflow**\nusing the [Workflow DevKit](https://www.npmjs.com/package/workflow). A turn can\nbe divided into time slices or semantic agent steps.\n\nTime slices let a long agent turn survive a Fluid Compute function recycle\n(~800s). Semantic steps let a workflow persist after each agent step, typically\nby configuring the agent with `stopWhen: isStepCount(1)`. At either boundary the\nagent is frozen non-destructively and a serializable state object is persisted\nas the durable step return value.\n\nThis package ships plain helpers + a serializable state machine; you own the\nthin `'use workflow'` / `'use step'` wrappers (the Workflow DevKit compiles\nthose directives in your app).\n\nKeep the Workflow DevKit entrypoints separate from the agent definition. The\nworkflow module should import only workflow-safe code plus step modules. The\nstep module should dynamically import the agent inside the `'use step'` body so\nthe agent, sandbox adapter, and other Node-heavy dependencies stay out of the\ncompiled workflow bundle.\n\n`agent.ts`:\n\n```ts\nimport { HarnessAgent } from '@ai-sdk/harness/agent';\nimport { claudeCode } from '@ai-sdk/harness-claude-code';\n\nexport const agent = new HarnessAgent({ harness: claudeCode });\n```\n\n`time-slice-step.ts`:\n\n```ts\nimport {\n  runHarnessAgentTimeSlice,\n  type HarnessWorkflowState,\n} from '@ai-sdk/workflow-harness';\n\nexport async function timeSliceStep(\n  state: HarnessWorkflowState,\n): Promise<HarnessWorkflowState> {\n  'use step';\n\n  const { agent } = await import('./agent');\n  const {\n    createVercelNetworkSandboxSession,\n    resumeVercelNetworkSandboxSession,\n  } = await import('@ai-sdk/sandbox-vercel');\n  const sandboxId = `harness-${state.sessionId}`;\n  const sandboxSession =\n    state.resumeFrom == null && state.continueFrom == null\n      ? await createVercelNetworkSandboxSession({\n          sandboxId,\n          runtime: 'node24',\n          ports: [4000],\n          template: await agent.getSandboxTemplate(),\n        })\n      : await resumeVercelNetworkSandboxSession({ sandboxId });\n\n  return runHarnessAgentTimeSlice({ agent, state, sandboxSession });\n}\n```\n\n`workflow.ts`:\n\n```ts\nimport {\n  createHarnessWorkflowState,\n  finalizeHarnessWorkflow,\n  type HarnessWorkflowInput,\n} from '@ai-sdk/workflow-harness';\nimport { timeSliceStep } from './time-slice-step';\n\nexport async function timeSliceWorkflow(input: {\n  prompt: HarnessWorkflowInput['prompt'];\n  sessionId: string;\n}) {\n  'use workflow';\n\n  let state = createHarnessWorkflowState(input);\n  do {\n    state = await timeSliceStep(state);\n  } while (state.status === 'ready_for_next_step');\n  return finalizeHarnessWorkflow(state);\n}\n```\n\nFor a semantic stepped workflow, configure the agent with\n`stopWhen: isStepCount(1)`, call `runHarnessAgentStep()` from the step module,\nand continue while the status is `ready_for_next_step`:\n\n`stepped-agent.ts`:\n\n```ts\nimport { HarnessAgent } from '@ai-sdk/harness/agent';\nimport { claudeCode } from '@ai-sdk/harness-claude-code';\nimport { isStepCount } from 'ai';\n\nexport const steppedAgent = new HarnessAgent({\n  harness: claudeCode,\n  stopWhen: isStepCount(1),\n});\n```\n\n`stepped-agent-step.ts`:\n\n```ts\nimport {\n  runHarnessAgentStep,\n  type HarnessWorkflowState,\n} from '@ai-sdk/workflow-harness';\n\nexport async function agentStep(\n  state: HarnessWorkflowState,\n): Promise<HarnessWorkflowState> {\n  'use step';\n\n  const { steppedAgent } = await import('./stepped-agent');\n  const {\n    createVercelNetworkSandboxSession,\n    resumeVercelNetworkSandboxSession,\n  } = await import('@ai-sdk/sandbox-vercel');\n  const sandboxId = `harness-${state.sessionId}`;\n  const sandboxSession =\n    state.resumeFrom == null && state.continueFrom == null\n      ? await createVercelNetworkSandboxSession({\n          sandboxId,\n          runtime: 'node24',\n          ports: [4000],\n          template: await steppedAgent.getSandboxTemplate(),\n        })\n      : await resumeVercelNetworkSandboxSession({ sandboxId });\n\n  return runHarnessAgentStep({ agent: steppedAgent, state, sandboxSession });\n}\n```\n\n`stepped-workflow.ts`:\n\n```ts\nimport {\n  createHarnessWorkflowState,\n  finalizeHarnessWorkflow,\n  type HarnessWorkflowInput,\n} from '@ai-sdk/workflow-harness';\nimport { agentStep } from './stepped-agent-step';\n\nexport async function agentWorkflow(\n  input: Pick<HarnessWorkflowInput, 'messages' | 'sessionId'>,\n) {\n  'use workflow';\n\n  let state = createHarnessWorkflowState(input);\n  do {\n    state = await agentStep(state);\n  } while (state.status === 'ready_for_next_step');\n  return finalizeHarnessWorkflow(state);\n}\n```\n\n`route.ts` (Next.js example):\n\n```ts\nimport { start } from 'workflow/api';\nimport { timeSliceWorkflow } from './workflow';\n\nexport async function POST(request: Request) {\n  const body = (await request.json()) as {\n    prompt: string;\n    sessionId: string;\n  };\n  const run = await start(timeSliceWorkflow, [body]);\n\n  return new Response(run.readable);\n}\n```\n","readmeFilename":""}