Add custom tools to Managed Deep Agents

from langchain.tools import tool


@tool(parse_docstring=True)
def lookup_customer(customer_id: str) -> str:
    """Look up a customer record by ID.

    Args:
        customer_id: Customer ID from the CRM.
    """
    return f"Customer {customer_id} is on the enterprise plan."

import { tool } from "langchain";
import { z } from "zod";

export const lookupCustomer = tool(
  async ({ customerId }) => `Customer ${customerId} is on the enterprise plan.`,
  {
    name: "lookup_customer",
    description: "Look up a customer record by ID.",
    schema: z.object({
      customerId: z.string().describe("Customer ID from the CRM."),
    }),
  },
);

from managed_deepagents import define_deep_agent

from tools.customer import lookup_customer

agent = define_deep_agent(
    name="support-agent",
    model="openai:gpt-5.5",
    tools=[lookup_customer],
)

import { defineDeepAgent } from "managed-deepagents";

import { lookupCustomer } from "./tools/customer";

export const agent = defineDeepAgent({
  name: "support-agent",
  model: "openai:gpt-5.5",
  tools: [lookupCustomer],
});