LangChain Chatbot with OpenAI API (System & Human Messages)

In this video, I walk you through how to build a simple LangChain chatbot with OpenAI API, understanding HumanMessage, AIMessage, and SystemMessage. You’ll learn how to load your API key securely using a .env file, create an instance of the LLM, and make your first query. I also break down the structure of the AI’s response (AIMessage) so you can understand how messages are returned, and finally, we upgrade the chatbot by adding a system message to control the model’s behavior. *What you’ll learn:* - How to load OpenAI API keys using .env - Creating and initializing an LLM instance using the langchain-openai - Making queries to the LLM - Understanding the structure of AI message responses - Adding system prompts with system messages - Building a more predictable and controlled chatbot If you found this helpful, don’t forget to Like, Comment, and Subscribe for more AI, LangChain and LangGraph tutorials! *Connect with me* *LinkedIn:* https://www.linkedin.com/in/felix-ibeamaka/ *X:* https://x.com/Electronics__ *Facebook:* https://www.facebook.com/felixibeamaka/ *Instagram:* https://www.instagram.com/electroni6_247/ *TikTok:* https://www.tiktok.com/@UClF6nEUxzBRYcd8vjQOenyA *Join My WhatsApp Group:* https://chat.whatsapp.com/C9mZeTCLiNQAe4yxCTmVy4