Agent tutorial

We have a comprehensive, step-by-step guide to building agents in LlamaIndex.TS that we recommend to learn what agents are and how to build them for production. But building a basic agent is simple:

Set up

In a new folder:

npm init
npm install -D typescript @types/node

Run agent

Create the file example.ts. This code will:

Create two tools for use by the agent:
- A sumNumbers tool that adds two numbers
- A divideNumbers tool that divides numbers
Give an example of the data structure we wish to generate
Prompt the LLM with instructions and the example, plus a sample transcript

import { OpenAI } from "@llamaindex/openai";
import { AgentWorkflow, FunctionTool } from "llamaindex";
import { z } from "zod";
 
const sumNumbers = FunctionTool.from(
  ({ a, b }: { a: number; b: number }) => `${a + b}`,
  {
    name: "sumNumbers",
    description: "Use this function to sum two numbers",
    parameters: z.object({
      a: z.number().describe("The first number"),
      b: z.number().describe("The second number"),
    }),
  },
);
 
const divideNumbers = FunctionTool.from(
  ({ a, b }: { a: number; b: number }) => `${a / b}`,
  {
    name: "divideNumbers",
    description: "Use this function to divide two numbers",
    parameters: z.object({
      a: z.number().describe("The dividend a to divide"),
      b: z.number().describe("The divisor b to divide by"),
    }),
  },
);
 
async function main() {
  const workflow = AgentWorkflow.fromTools({
    tools: [sumNumbers, divideNumbers],
    llm: new OpenAI({ model: "gpt-4o-mini" }),
    verbose: false,
  });
 
  const response = await workflow.run("How much is 5 + 5? then divide by 2");
  console.log(response.data);
}
 
void main().then(() => {
  console.log("Done");
});

To run the code:

npx tsx example.ts

You should expect output something like:

{
  content: 'The sum of 5 + 5 is 10. When you divide 10 by 2, you get 5.',
  role: 'assistant',
  options: {}
}
Done

Agent tutorial

Set up

Run agent

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