Pausing the Agent for Input

Pause an agent run mid-tool, hand control to a custom React component, and resume with the user's answer.


Not supported on AWS Strands (Python)
AWS Strands (Python) doesn't support Human in the Loop: Interrupts. See the framework grid for which integrations support this feature.

What is this?#

useInterrupt lets your agent pause mid-run, hand control to the user through a custom React component, and resume with whatever the user returns. How that pause is implemented depends on the framework's runtime.

The Microsoft Agent Framework runtime can't pause a run mid-tool the way LangGraph's interrupt() does, so this demo uses useFrontendTool with a Promise-based handler instead. The agent calls schedule_meeting like any other tool; the client-side handler renders the picker, holds the request open, and only resolves the Promise once the user picks a slot or cancels. Same UX from the reader's perspective — agent pauses, user answers, agent resumes — different mechanism underneath.

When should I use this?#

Reach for useInterrupt when the pause is a graph-enforced checkpoint where the code path must stop and wait for a human, not an LLM-initiated tool call. Typical cases:

  • A sensitive action (payments, irreversible writes) must be approved
  • A required piece of state isn't known and can only be collected from the user
  • The agent explicitly reaches an approval node in a longer workflow
  • You want the server-side contract to be interrupt(...) and resume with a payload

For LLM-initiated pauses where the model decides on the fly to ask the user, prefer useHumanInTheLoop.

The frontend: useFrontendTool with a Promise-resolving handler#

The handler stores its resolve callback in a ref, returns a Promise that the user's pick eventually resolves, and renders the picker inline in the chat. This is the MS Agent equivalent of useInterrupt's event / resolve pair:

Not supported on AWS Strands (Python)
AWS Strands (Python) doesn't support Human in the Loop: Interrupts. See the framework grid for which integrations support this feature.

The backend: agent instructed to call the frontend tool#

The agent has no local schedule_meeting implementation — the tool is registered entirely on the frontend. The backend's only job is to instruct the model to call schedule_meeting whenever the user wants to book a meeting. AG-UI routes the tool call to the client, where the Promise-returning handler takes over:

Not supported on AWS Strands (Python)
AWS Strands (Python) doesn't support Human in the Loop: Interrupts. See the framework grid for which integrations support this feature.

AG-UI standard interrupt flow vs. legacy#

useInterrupt supports two interrupt transports. Understanding which one your agent uses helps you write the right render code.

Standard flow (RUN_FINISHED with outcome.type === "interrupt")#

When the agent backend conforms to the AG-UI protocol, it signals an interrupt by emitting a RUN_FINISHED event whose outcome carries the interrupts array:

outcome.type === "interrupt"
outcome.interrupts  // Interrupt[]

The hook detects this on onRunFinishedEvent and exposes the interrupts on the render props after onRunFinalized fires. Your render function receives:

  • interrupt — the primary Interrupt (interrupts[0]), with shape { id, reason, message?, toolCallId?, responseSchema?, expiresAt?, metadata? }.
  • interrupts — the full open set (usually one, but multi-interrupt is supported — see below).
  • resolve(payload?, interruptId?) — records { status: "resolved", payload } for the targeted interrupt (defaults to the primary). The agent run resumes once every open interrupt has a response.
  • cancel(interruptId?) — records { status: "cancelled" } for the targeted interrupt. Same accumulate-then-submit logic applies.

Legacy flow (on_interrupt custom event)#

Older agents (or agents not yet migrated to the AG-UI interrupt spec) emit a custom on_interrupt event. The hook detects this on onCustomEvent and sets interrupt to null and interrupts to []. The payload is in event.value. Calling resolve(payload) resumes via forwardedProps.command (the legacy resume mechanism). cancel() dismisses the interrupt without resuming — the agent never receives a response.

Priority#

If both signals appear on the same run (unlikely but possible during migration), the standard flow wins.

Approve / Cancel example#

function ApprovalInterrupt() {
  useInterrupt({
    render: ({ interrupt, resolve, cancel }) => (
      <div className="p-3 border rounded">
        <p>{interrupt?.message ?? "Approve this action?"}</p>
        <div className="mt-2 flex gap-2">
          <button onClick={() => resolve({ approved: true })}>Approve</button>
          <button onClick={() => cancel()}>Cancel</button>
        </div>
      </div>
    ),
  });
  return null;
}

resolve({ approved: true }) records a resolved entry and submits the resume array to the agent. cancel() records a cancelled entry and does the same. Both return the RunAgentResult once the run restarts.

Multi-interrupt behavior#

Some agents issue more than one interrupt in a single run (e.g. two independent approvals). Each interrupt has its own id. Address them individually:

useInterrupt({
  render: ({ interrupts, resolve, cancel }) => (
    <ul>
      {interrupts.map((i) => (
        <li key={i.id}>
          {i.message}
          <button onClick={() => resolve({ ok: true }, i.id)}>Approve</button>
          <button onClick={() => cancel(i.id)}>Cancel</button>
        </li>
      ))}
    </ul>
  ),
});

The agent run only resumes once every open interrupt has been addressed. Calling resolve or cancel with a specific interruptId marks that interrupt done; the hook auto-submits the accumulated responses when the last one is addressed. If you omit interruptId, the primary interrupt (interrupts[0]) is targeted.

responseSchema — surface only, no client-side validation#

The Interrupt type exposes a responseSchema field (a JSON Schema object) that the agent can use to describe the expected payload shape. useInterrupt surfaces this field on interrupt.responseSchema for your UI to read (e.g. to drive a form), but it does not validate resolve payloads against it. Validation is the agent's responsibility on resume.

Going further#