Example

You can run the example:

import { MultiModelAgent } from "multimodelagent";
import { tool } from "@openai/agents";
import { z } from "zod";
import axios from "axios";

const googleSearch = tool({
  name: "google_search",
  description: "Search anything using Serper API.",
  parameters: z.object({
    q: z.string(),
  }),
  async execute({ q }) {
    const response = await axios.post(
      "https://google.serper.dev/search",
      { q },
      {
        headers: {
          "X-API-KEY": "YOUR_SERPER_API_KEY",
          "Content-Type": "application/json",
        },
      }
    );
    return response.data;
  },
});

const fetchChunk = tool({
  name: "fetch_chunk",
  description: "Fetch a small chunk from any webpage.",
  parameters: z.object({
    url: z.string(),
    index: z.number(),
  }),
  async execute({ url, index }) {
    return {
      chunk: `Chunk ${index} from ${url}`,
      hasMore: index < 2,
    };
  },
});

const ai = new MultiModelAgent({
  apiKey: "YOUR_GROQ_OR_OPENAI_API_KEY",
  model: "qwen/qwen3-32b",
  baseURL: "https://api.groq.com/openai/v1",
  tools: [googleSearch, fetchChunk],
  instructions: "You are a helpful AI assistant.",
  onToolCall: (name, args) => {
    console.log("TOOL CALL =>", name, args);
  },
});

const reply = await ai.ask("who are you?");
console.log("AI:", reply);