Building and deploying AI agents with E2B

What is E2B?: E2B is a platform that allows you to build and deploy AI agents by setting up a customized environment with the necessary tools and packages for your agent's tasks.

Understanding AI-powered agents: AI agents are virtual entities that can perform various tasks and make decisions based on their capabilities and the data they process. They can handle complex and unstructured data in controlled environments.

Advantages of using AI agents: Building an AI agent can have several benefits. It saves time and effort by automating tasks that would otherwise require manual labor. AI agents can also handle large amounts of data and perform tasks with high accuracy. They are adaptable and can solve a wide range of problems.

Building an AI agent: To build an AI agent, you will need Node.js, OpenAI's Node package, OpenAI API keys, and an E2B API key. A simple example of an AI agent is demonstrated, where it watches for changes to a file containing questions, extracts the questions, and writes the answers into a downloadable file.

Setting up your environment: Set up a Node.js project, install required packages, create necessary files, and import modules.

Adding agent functionality: Define variables representing files and folders, create a function to query OpenAI's GPT-3.5 model for answers, and add event listener to process new questions.

Running the AI agent: Run the AI agent to set up the sandbox environment and start processing questions. Note that E2B sandboxes can run for 24 hours.