Quickstart

You need Node.js 24, 25, or 26 and an AssemblyAI API key. One key covers listening, thinking, and speaking. Get one from the AssemblyAI dashboard.

1. Create a project

npm i -g @alexkroman1/aai-cli
aai init my-agent
cd my-agent

aai init writes a starter project and installs its dependencies.

Here is what you get:

my-agent/
  agent.ts            # the definition
  system-prompt.md    # what the model is told
  tools/
    get_weather.ts    # one tool; the filename is its name
  agent.test.ts       # tests — `aai test`
  agent.eval.test.ts  # behaviour checks — `aai eval`

package.json, tsconfig.json, and .env come with them. None of the five files names another: the prompt and the tool are found where they sit.

Want a different starting point? aai templates lists them, and aai init my-agent --template pizza-ordering-agent picks one.

2. Talk to it

aai dev

That starts a local server and prints a URL. Open it, click the microphone, and ask about the weather somewhere. Leave it running for the next two steps — it reloads when you save.

3. Change what it says

agent.ts is the definition. Change any of it:

import { agent } from "@alexkroman1/aai";

export default agent({
  name: "Quickstart Assistant",
  description: "Looks up the current weather for any city",
  greeting: "Hi — I can look up the weather anywhere. Which city?",
  voice: "jane",
});

system-prompt.md is what the model is told. It is plain markdown, and nothing imports it — the build finds it because it sits beside agent.ts:

You are a friendly assistant on a voice call. Keep replies to one or two
sentences — a caller is listening, not reading.

Use the get_weather tool whenever someone asks what it is like somewhere.

Save either one and the running aai dev picks it up.

4. Give it something to do

A tool is a file in tools/, and the filename is the name the model calls it by. So you already have a get_weather. A tool can be this small:

import { tool } from "@alexkroman1/aai";
import { z } from "zod";

export default tool({
  description: "Get the current weather for a city.",
  inputSchema: z.object({ city: z.string().describe("City name, e.g. Denver") }),
  execute: async ({ city }) => {
    const res = await fetch(`https://wttr.in/${city}?format=3`);
    return { report: await res.text() };
  },
});

Two things the model reads before it decides to call your tool: description, and the .describe() on each input. Spend a sentence on each.

Now copy the file to tools/get_forecast.ts and change the description and the body. The model can call that one too. There is nothing to register, no list to join, and no import to add.

Tools covers the rest — timeouts, failures, and calling your own APIs.

5. Ship it

aai login      # once
aai publish

aai publish uploads your source, copies the secrets from .env, builds and deploys it, and prints a URL you can share. One command, including the first time.

See Publish for the details, and Phone calls for putting it on a phone number.

How it works — why the project is shaped this way
Tools — talking to your own APIs
Remembering things — state that survives the call