AI Math assistant Setup and Usage

Overview

This guide will help you set up and run the AI Math assistant locally. The framework leverages self-healing tool-calling mechanisms to ensure accurate results.

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Prerequisites

Make sure you have the following installed:

• Node.js (latest version recommended)
• npx (comes with Node.js)

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Instructions

1. Create a .env File

Create a .env file in the root directory of your project and add your OpenAI and Langbase API keys. You can access your Langbase API key from here.

Example .env file:

OPENAI_API_KEY=your_openai_api_key_here
LANGBASE_API_KEY=your_langbase_api_key_here

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2. Start the BaseAI Server

To run the AI agent pipe locally, you need to start the BaseAI server. Use the following command in your terminal:

npx baseai@latest dev

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3. Run the AI Agent Pipe

After starting the BaseAI server, execute the index.ts file to run the AI Agent Pipe. Use the following command:

npx tsx index.ts

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4. Result

In your terminal, you’ll be prompted to:

Enter your query:

For example, you can type:

What is 120 cm in feet?

The AI agent will process the query. If the LLM produces an inaccurate result, the BaseAI framework’s self-healing mechanism will detect and correct the error, ensuring you receive the correct answer.

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Troubleshooting

If you encounter any issues:

1. Verify your Node.js version.
2. Check if npx and tsx are installed correctly.
3. Refer to the BaseAI documentation for advanced debugging.