How to Build AI Agents with LangGraph and OpenAI API

Analytics Vidhya · Intermediate ·🤖 AI Agents & Automation ·5d ago

Skills: LLM Engineering90%AI Pair Programming80%

Description: Move beyond static functions and integrate LLMs directly into your graph. We demonstrate how to create an "Agent Node" that uses OpenAI's GPT models to reason, process instructions, and update the graph state dynamically. Chapters: 0:00 What is an Agent Workflow? 1:10 Components of an Agent: LLM, Tools, Instructions 2:25 Single Agent Workflow Logic 3:15 Designing the Agent Node Input/Output 4:00 Best Practices for Agent Prompts 5:15 Hands-on: Setting up OpenAI Environment Variables 7:10 Writing the Agent Node Function 9:00 Visualizing the Agent Graph Structure 10:30 Invoking the Graph with User Queries #OpenAI #AIAgents #LangGraph #GPT4 #AIWorkflows #Programming

Watch on YouTube ↗ (saves to browser)

Sign in to unlock AI tutor explanation · ⚡30

More on: LLM Engineering

View skill →

Build an LLM and RAG-based Chat Application using AlloyDB and LangChain

How to Do Style Transfer with Tensorflow (LIVE)

How to Do Style Transfer with Tensorflow (LIVE)

How to Make an Asteroids Game Bot (LIVE)

How to Make an Asteroids Game Bot (LIVE)

Using Claude Code + Nano Banana Pro To Create a Dataset of Engineering Drawings

Using Claude Code + Nano Banana Pro To Create a Dataset of Engineering Drawings

Automata Learning Lab

Advanced AI and Machine Learning Techniques and Capstone

Advanced AI and Machine Learning Techniques and Capstone

AI Development with DeepSeek for Developers

AI Development with DeepSeek for Developers

Related AI Lessons

I built an open-source AI agent that turns a trade idea into a full backtest — here's why

Learn how to build an open-source AI agent that turns a trade idea into a full backtest using Python and AI techniques

I ran an AI QA agent on my app before talking to a single user. It found 11 issues, 4 were blockers.

Learn how to use AI QA agents for frontend testing to identify issues before user interviews, and why it matters for improving app quality

Automating Your Catering Pipeline: Connect AI to Booking and Invoicing

Automate your catering pipeline by connecting AI to booking and invoicing to reduce manual errors and increase efficiency

Testing AI Agents Like Code: the `oa test` Harness

Learn to test AI agents like code using the `oa test` harness, ensuring reliability and consistency in AI deployments

Chapters (9)

What is an Agent Workflow?

1:10 Components of an Agent: LLM, Tools, Instructions

2:25 Single Agent Workflow Logic

3:15 Designing the Agent Node Input/Output

4:00 Best Practices for Agent Prompts

5:15 Hands-on: Setting up OpenAI Environment Variables

7:10 Writing the Agent Node Function

9:00 Visualizing the Agent Graph Structure

10:30 Invoking the Graph with User Queries

CLI or MCP? How should AI agents interact with external tools?

Google for Developers