Create Your First AI AGENT from Scratch (Full Python Code Tutorial)

This video provides a beginner-friendly tutorial on creating an AI agent from scratch using Python, LangChain, and the OpenAI API. In just 38 lines of code, the creator demonstrates how to build an agent that can search the internet using DuckDuckGo and respond to user queries. The tutorial covers setting up the development environment, installing necessary libraries, obtaining an OpenAI API key, and writing the Python code to initialize and run the agent. The video also explains the concepts of AI agents, LangChain, and virtual environments, making it accessible to viewers with no prior experience.

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# Timestamps
00:00 Introduction and Project Setup
02:06 Understanding Core Technologies
04:22 Obtaining and Implementing the OpenAI API Key
10:33 Building the Agent Framework and Setting Up the Environment
16:23 Running the Initial Agent and Analyzing the Output
19:42 Creating an Interactive Chat Interface and Future Enhancements

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[zhongwenrexzhang]

Nice video! One question: if query includes some actions that are not predefined in the tools, I guess then the agent can not do it

[TylerGreen-rb]

This was a brilliant video, thank you. I have followed the whole video, and my AI agent is up and running. However, my agents output is as if it only has knowledge from up to 2021. Do you know why this is, and how I could fix this?

For example, for the question "What is the current price of Bitcoin", the agent outputs "The current price of Bitcoin is as of March 31 2021".

For the question "What is the population of China", it does the same thing. However, through reading its thought process, I can see it actually is accessing information as recent as 2025.