HITL Overview
Allow your agent and users to collaborate on complex tasks.
What is this?#
Human-in-the-loop (HITL) lets an agent pause mid-run to collect input, confirmation, or a choice from the user, then resume with that answer folded back into its reasoning. It's what turns an autonomous workflow into a collaborative one: the agent keeps its context, the user keeps the steering wheel.
When should I use this?#
Use HITL when you need:
- Quality control — a human gate at high-stakes decision points
- Edge cases — graceful fallbacks when the agent's confidence is low
- Expert input — lean on the user for domain knowledge the model lacks
- Reliability — a more robust loop for real-world, production traffic
Two patterns for HITL in CopilotKit#
CopilotKit ships two complementary ways to pause an agent turn and ask the human something. They look similar from the outside (the chat pauses, a custom component appears, the user answers, the run resumes) but they're wired differently on the backend, and each has its own niche.
| Pattern | Who decides to pause? | Backend surface |
|---|---|---|
useHumanInTheLoop | The LLM, by calling a registered client-side tool | A frontend-only tool description (Zod schema + render) |
useInterrupt | The graph, by calling interrupt(...) during a node | A server-side interrupt() call in your LangGraph agent |
Pick useHumanInTheLoop when the pause is an agent-initiated
decision — the model chose to ask the user — and you want the picker UI
inlined into the normal tool-call flow.
Pick useInterrupt when the pause is a graph-enforced checkpoint —
the code path deterministically requires a human answer — and you want
langgraph.interrupt() as the server-side contract.
Pattern 1 — useHumanInTheLoop (tool-based)#
The agent registers a HITL tool on the client with useHumanInTheLoop.
When the LLM calls that tool, CopilotKit routes the call through your
render function, which shows a custom component and calls respond
with the user's answer. The agent sees the answer as the tool result and
continues from there.
import React from "react";import { CopilotKit, CopilotChat, useHumanInTheLoop, useConfigureSuggestions,} from "@copilotkit/react-core/v2";import { z } from "zod";import type { TimeSlot } from "./time-picker-card";import { TimePickerCard } from "./time-picker-card";const DEFAULT_SLOTS: TimeSlot[] = [ { label: "Tomorrow 10:00 AM", iso: "2026-04-19T10:00:00-07:00" }, { label: "Tomorrow 2:00 PM", iso: "2026-04-19T14:00:00-07:00" }, { label: "Monday 9:00 AM", iso: "2026-04-21T09:00:00-07:00" }, { label: "Monday 3:30 PM", iso: "2026-04-21T15:30:00-07:00" },];export default function HitlInChatDemo() { return ( <CopilotKit runtimeUrl="/api/copilotkit" agent="hitl-in-chat"> <div className="flex justify-center items-center h-screen w-full"> <div className="h-full w-full max-w-4xl"> <Chat /> </div> </div> </CopilotKit> );}function Chat() { useConfigureSuggestions({ suggestions: [ { title: "Book a call with sales", message: "Please book an intro call with the sales team to discuss pricing.", }, { title: "Schedule a 1:1 with Alice", message: "Schedule a 1:1 with Alice next week to review Q2 goals.", }, ], available: "always", }); useHumanInTheLoop({ agentId: "hitl-in-chat", name: "book_call", description: "Ask the user to pick a time slot for a call. The picker UI presents fixed candidate slots; the user's choice is returned to the agent.", parameters: z.object({ topic: z .string() .describe("What the call is about (e.g. 'Intro with sales')"), attendee: z .string() .describe("Who the call is with (e.g. 'Alice from Sales')"), }), render: ({ args, status, respond }: any) => ( <TimePickerCard topic={args?.topic ?? "a call"} attendee={args?.attendee} slots={DEFAULT_SLOTS} status={status} onSubmit={(result) => respond?.(result)} /> ), });The picker UI is fed a static list of candidate slots — this is just data the demo page owns, so you can swap in real availability, a calendar API, or anything else:
import React from "react";import { CopilotKit, CopilotChat, useHumanInTheLoop, useConfigureSuggestions,} from "@copilotkit/react-core/v2";import { z } from "zod";import type { TimeSlot } from "./time-picker-card";import { TimePickerCard } from "./time-picker-card";const DEFAULT_SLOTS: TimeSlot[] = [ { label: "Tomorrow 10:00 AM", iso: "2026-04-19T10:00:00-07:00" }, { label: "Tomorrow 2:00 PM", iso: "2026-04-19T14:00:00-07:00" }, { label: "Monday 9:00 AM", iso: "2026-04-21T09:00:00-07:00" }, { label: "Monday 3:30 PM", iso: "2026-04-21T15:30:00-07:00" },];Pattern 2 — useInterrupt (graph-paused)#
With LangGraph's interrupt() the pause is enforced by the graph
itself: a node calls interrupt({...}), the run suspends, the client
receives the payload, renders a UI, and resumes the run with the user's
answer. CopilotKit's useInterrupt hook is the render contract.
See the useInterrupt deep dive for
the full walkthrough, including the backend tool and render-prop wiring.
Going headless#
Both patterns above ship with a render prop — CopilotKit handles the
"when to show the picker" logic for you. If you want to drive
interrupt resolution from a custom UI that lives anywhere in the tree
(not necessarily inside a chat), see the
headless interrupts guide — it shows
how to compose useAgent, agent.subscribe, and copilotkit.runAgent
to build your own useInterrupt equivalent.