Building LLM Agents Using LangChain & OpenAI API

When we think about large language models (LLM), we often imagine them as super-smart databases filled with internet knowledge, ready to answer any question we throw at them. But the reality is that they are clever assistants, able to understand what we tell them and help us figure things out.

That’s where LangChain’s Agents come in. It’s like giving your assistant superpowers! In agents, a language model is used as a reasoning engine to determine which actions to take and in which order.

In this guide, we’ll dive into what agents are, how to make them, and how to teach them to do all sorts of neat tricks, like searching Wikipedia, solving programming questions, and finally building your own agent.

Table of Contents:

1. Setting Up Working Environment

2. Building Math Tutor Agent

3. Building Wikipedia Search Agent

4. Building Python Programming Assistant Agent

5. Build Your Customized Agent

---

---