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Some tool operations may be sensitive and require human approval before execution. Deep agents support human-in-the-loop workflows through LangGraph’s interrupt capabilities. You can configure which tools require approval using the interrupt_on parameter.

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Basic configuration

The interrupt_on parameter accepts a dictionary mapping tool names to interrupt configurations. Each tool can be configured with:
  • True: Enable interrupts with default behavior (approve, edit, reject allowed)
  • False: Disable interrupts for this tool
  • {"allowed_decisions": [...]}: Custom configuration with specific allowed decisions
import { tool } from "langchain";
import { createDeepAgent } from "deepagents";
import { MemorySaver } from "@langchain/langgraph";
import { z } from "zod";
import { v4 as uuidv4 } from 'uuid'; // install uuid package: npm install uuid

const deleteFile = tool(
  async ({ path }: { path: string }) => {
    return `Deleted ${path}`;
  },
  {
    name: "delete_file",
    description: "Delete a file from the filesystem.",
    schema: z.object({
      path: z.string(),
    }),
  },
);

const sendEmail = tool(
  async ({ to, subject, body }: { to: string; subject: string; body: string }) => {
    return `Sent email to ${to}`;
  },
  {
    name: "send_email",
    description: "Send an email.",
    schema: z.object({
      to: z.string(),
      subject: z.string(),
      body: z.string(),
    }),
  },
);

// Checkpointer is REQUIRED for human-in-the-loop
const checkpointer = new MemorySaver();

const agent = createDeepAgent({
  model: "claude-sonnet-4-5-20250929",
  tools: [deleteFile, sendEmail],
  interruptOn: {
    delete_file: true,  // Default: approve, edit, reject
    read_file: false,   // No interrupts needed
    send_email: { allowedDecisions: ["approve", "reject"] },  // No editing
  },
  checkpointer,  // Required!
});

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Decision types

The allowed_decisions list controls what actions a human can take when reviewing a tool call:
  • "approve": Execute the tool with the original arguments as proposed by the agent
  • "edit": Modify the tool arguments before execution
  • "reject": Skip executing this tool call entirely
You can customize which decisions are available for each tool: 
const interruptOn = {
  // Sensitive operations: allow all options
  delete_file: { allowedDecisions: ["approve", "edit", "reject"] },

  // Moderate risk: approval or rejection only
  write_file: { allowedDecisions: ["approve", "reject"] },

  // Must approve (no rejection allowed)
  critical_operation: { allowedDecisions: ["approve"] },
};

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Handle interrupts

When an interrupt is triggered, the agent pauses execution and returns control. Check for interrupts in the result and handle them accordingly. 
import { v4 as uuidv4 } from "uuid";
import { Command } from "@langchain/langgraph";

// Create config with thread_id for state persistence
const config = { configurable: { thread_id: uuidv4() } };

// Invoke the agent
let result = await agent.invoke({
  messages: [{ role: "user", content: "Delete the file temp.txt" }],
}, config);

// Check if execution was interrupted
if (result.__interrupt__) {
  // Extract interrupt information
  const interrupts = result.__interrupt__[0].value;
  const actionRequests = interrupts.actionRequests;
  const reviewConfigs = interrupts.reviewConfigs;

  // Create a lookup map from tool name to review config
  const configMap = Object.fromEntries(
    reviewConfigs.map((cfg) => [cfg.actionName, cfg])
  );

  // Display the pending actions to the user
  for (const action of actionRequests) {
    const reviewConfig = configMap[action.name];
    console.log(`Tool: ${action.name}`);
    console.log(`Arguments: ${JSON.stringify(action.args)}`);
    console.log(`Allowed decisions: ${reviewConfig.allowedDecisions}`);
  }

  // Get user decisions (one per actionRequest, in order)
  const decisions = [
    { type: "approve" }  // User approved the deletion
  ];

  // Resume execution with decisions
  result = await agent.invoke(
    new Command({ resume: { decisions } }),
    config  // Must use the same config!
  );
}

// Process final result
console.log(result.messages[result.messages.length - 1].content);

​
Multiple tool calls

When the agent calls multiple tools that require approval, all interrupts are batched together in a single interrupt. You must provide decisions for each one in order. 
const config = { configurable: { thread_id: uuidv4() } };

let result = await agent.invoke({
  messages: [{
    role: "user",
    content: "Delete temp.txt and send an email to admin@example.com"
  }]
}, config);

if (result.__interrupt__) {
  const interrupts = result.__interrupt__[0].value;
  const actionRequests = interrupts.actionRequests;

  // Two tools need approval
  console.assert(actionRequests.length === 2);

  // Provide decisions in the same order as actionRequests
  const decisions = [
    { type: "approve" },  // First tool: delete_file
    { type: "reject" }    // Second tool: send_email
  ];

  result = await agent.invoke(
    new Command({ resume: { decisions } }),
    config
  );
}

​
Edit tool arguments

When "edit" is in the allowed decisions, you can modify the tool arguments before execution: 
if (result.__interrupt__) {
  const interrupts = result.__interrupt__[0].value;
  const actionRequest = interrupts.actionRequests[0];

  // Original args from the agent
  console.log(actionRequest.args);  // { to: "everyone@company.com", ... }

  // User decides to edit the recipient
  const decisions = [{
    type: "edit",
    editedAction: {
      name: actionRequest.name,  // Must include the tool name
      args: { to: "team@company.com", subject: "...", body: "..." }
    }
  }];

  result = await agent.invoke(
    new Command({ resume: { decisions } }),
    config
  );
}

​
Subagent interrupts

Each subagent can have its own interrupt_on configuration that overrides the main agent’s settings: 
const agent = createDeepAgent({
  tools: [deleteFile, readFile],
  interruptOn: {
    delete_file: true,
    read_file: false,
  },
  subagents: [{
    name: "file-manager",
    description: "Manages file operations",
    systemPrompt: "You are a file management assistant.",
    tools: [deleteFile, readFile],
    interruptOn: {
      // Override: require approval for reads in this subagent
      delete_file: true,
      read_file: true,  // Different from main agent!
    }
  }],
  checkpointer
});
When a subagent triggers an interrupt, the handling is the same – check for __interrupt__ and resume with Command.

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Best practices

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Always use a checkpointer

Human-in-the-loop requires a checkpointer to persist agent state between the interrupt and resume:

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Use the same thread ID

When resuming, you must use the same config with the same thread_id:

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Match decision order to actions

The decisions list must match the order of action_requests:

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Tailor configurations by risk

Configure different tools based on their risk level:
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