Building AI Agents with LangGraph

This repository contains Jupyter notebooks for the "Building AI Agents with LangGraph" course. Learn how to build sophisticated AI agents using LangGraph, LangChain, and OpenAI. Course Link

Prerequisites

• Python 3.12 or higher
• Poetry (Python package manager)
• API keys for OpenAI, Tavily, and Alpha Vantage

Installation Instructions

1. Install Poetry

Windows

(Invoke-WebRequest -Uri https://install.python-poetry.org -UseBasicParsing).Content | python -

macOS/Linux

curl -sSL https://install.python-poetry.org | python3 -

After installation, make sure to add Poetry to your system's PATH. The installer will tell you where Poetry was installed.

2. Clone the Repository

git clone https://github.com/yourusername/building-ai-agents-with-langgraph.git
cd building-ai-agents-with-langgraph

3. Install Dependencies

poetry install

This will create a virtual environment and install all required dependencies specified in pyproject.toml.

4. Set Up Environment Variables

Create a .env file in the root directory and add your API keys:

# Required API Keys
OPENAI_API_KEY=your_openai_api_key_here
TAVILY_API_KEY=your_tavily_api_key_here
ALPHAVANTAGE_API_KEY=your_alphavantage_api_key_here

# Optional: LangSmith Tracing (for debugging and monitoring)
# LANGCHAIN_TRACING_V2=true
# LANGCHAIN_ENDPOINT="https://api.smith.langchain.com"
# LANGCHAIN_API_KEY="your_langsmith_api_key_here"
# LANGCHAIN_PROJECT="your_project_name"

To obtain the required API keys:

• OpenAI API key: OpenAI Platform
• Tavily API key: Tavily AI
• Alpha Vantage API key: Alpha Vantage

The LangSmith tracing configuration is optional but recommended for debugging and monitoring your LangChain applications.

5. Launch Jupyter Lab

poetry run jupyter lab

This will start Jupyter Lab in your default web browser. You can now access and run the notebooks.

Project Structure

building-ai-agents-with-langgraph/
├── notebooks/           # Jupyter notebooks for the course
├── .env                # Environment variables (create this file)
├── pyproject.toml      # Poetry project configuration
└── README.md           # This file

Dependencies

The project uses the following main dependencies:

• LangGraph (^0.2.35)
• LangChain (^0.3.3)
• LangChain OpenAI (^0.2.2)
• OpenAI (^1.51.2)
• Jupyter Lab (^4.2.5)
• Matplotlib (^3.9.2)

For a complete list of dependencies, see pyproject.toml.

Troubleshooting

Common Issues

1. Poetry not found in PATH

   • Windows: Add %APPDATA%\Python\Scripts to your PATH
   • macOS/Linux: Add $HOME/.local/bin to your PATH

2. Python version mismatch

   poetry env use python3.12

3. Jupyter not launching

   poetry run python -m jupyter lab

Poetry Commands Reference

• Update dependencies: poetry update
• Add a new dependency: poetry add package_name
• Remove a dependency: poetry remove package_name
• Show installed packages: poetry show
• Run a command in the virtual environment: poetry run command

License

This project is licensed under the MIT License - see the LICENSE file for details.