Introduction

• playground  You can see the demo code on the playground.

Set up a fully functional Google Scholar Agent powered by OpenAI’s GPT model in a flash using the Agentica CLI.

Quick CLI Setup

Start the Agentica Setup Wizard with this single command:

npx agentica start google-scholar-agent

The wizard will walk you through:

• Installing required packages (e.g., agentica@0.12.14)
• Choosing your package manager and project type
• Selecting the GOOGLE SCHOLAR controller
• Entering your OPENAI_API_KEY

Once complete, Agentica automatically generates your code, creates a .env file, and installs all dependencies.

Generated Code Overview

The generated code looks like this:

import { Agentica } from "@agentica/core";
import typia from "typia";
import dotenv from "dotenv";
import { OpenAI } from "openai";
 
import { GoogleScholarService } from "@wrtnlabs/connector-google-scholar";
 
dotenv.config();
 
const agent: Agentica = new Agentica({
  vendor: {
    api: new OpenAI({ apiKey: process.env.OPENAI_API_KEY! }),
    model: "gpt-4o-mini",
  },
  controllers: [
    {
      name: "Google Scholar Connector",
      protocol: "class",
      application: typia.llm.application<GoogleScholarService>(),
      execute: new GoogleScholarService({
        serpApiKey: process.env.SERP_API_KEY!,
      }),
    },
  ],
});
 
const main = async () => {
  console.log(await agent.conversate("What can you do?"));
};
 
main();

This code instantly sets up your Google Scholar Agent, ready to perform intelligent searches on Google Scholar.

What This Does

Your Google Scholar Agent will:

• Process Google Scholar Data: Use the GoogleScholarService connector.
• Leverage OpenAI’s GPT Model: Use OpenAI’s GPT model via the OpenAI SDK.
• Maintain Security: Store your API keys in a .env file.
• Securely Manage Credentials: Use the dotenv package to manage your API keys.

Set up your environment variables in a .env file:

OPENAI_API_KEY=your-openai-api-key
SERP_API_KEY=your-serp-api-key

Make sure to include your SerpApi API key in the SERP_API_KEY field.

Use Case Example

Imagine asking the agent:

“Find the agentic ai.”

The agent will respond with the most relevant search results from Google Scholar.

Available Functions

For a complete list of functions available in GoogleScholarService, check out the source code. 👉 wrtnlabs/connectors - GoogleScholarService.ts 

Your AI-powered Google Scholar Agent is now ready to help you with your research needs. Enjoy! 🚀