WhatsApp API
for AI agents

# install and log in
$ npm i -g @wabery/cli
$ wabery login

# list channels and check routing
$ wabery channels list

# push a flow as config
$ wabery flows apply lead-intake.flow.ts

# deploy a hosted function
$ wabery functions deploy checkout-helper

import { Wabery } from "@wabery/sdk";

const wabery = new Wabery(process.env.WABERY_API_KEY);

await wabery.messages.send({
  channel: "whatsapp",
  to: "+14155550100",
  text: "Your order just shipped",
});

{
  "type": "message.received",
  "channel": "whatsapp",
  "contact": { "id": "ct_8fa12c", "name": "Alex" },
  "message": {
    "text": "do you ship internationally?",
    "timestamp": "2026-06-20T14:21:09Z"
  },
  "signature": "v1=3a7f…"   // verify with your signing secret
}

export const leadIntake = flow({
  name: "lead-intake",
  screens: [
    screen("Tell us about your project", [
      text("name", { label: "Your name" }),
      number("budget", { label: "Budget (USD)" }),
      select("timeline", { options: ["ASAP", "This month"] }),
    ]),
  ],
  onSubmit: "https://api.acme.com/leads",  // your webhook
});

import type { Ctx } from "@wabery/functions";

export default async function checkoutHelper(ctx: Ctx) {
  const cartId = await ctx.data.get<string>("cart_id");
  const status = await ctx.fetch("https://api.acme.com/cart/" + cartId);
  const cart = await status.json();

  await ctx.send.text("Your cart is " + cart.state);
  return { output: { cart_state: cart.state } };
}

# already have the CLI? print an MCP server config for your agent
$ wabery mcp-config claude --raw
$ wabery mcp-config codex --raw
$ wabery mcp-config opencode --raw

# → now ask: "create a lead-intake flow and route it to
#   our /leads webhook". The agent calls Wabery for you.