HSG Agentic AI Workshop Break 2025s

Repository for the Workshop Materials on Agentic AI Conceptualization and Coding with LangChain.

Setup

Python version

To get the most out of this course, please ensure you're using Python 3.11 or later. This version is required for optimal compatibility with LangGraph. If you're on an older version, upgrading will ensure everything runs smoothly.

python3 --version

Clone repo

git clone https://github.com/koizachek/HSG25.git
$ cd HSG25

Create an environment and install dependencies

Mac/Linux/WSL

$ python3 -m venv lc-academy-env
$ source lc-academy-env/bin/activate
$ pip install -r requirements.txt

Windows Powershell

PS> python3 -m venv lc-academy-env
PS> Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope Process
PS> lc-academy-env\scripts\activate
PS> pip install -r requirements.txt

Running notebooks

If you don't have Jupyter set up, follow installation instructions here.

$ jupyter notebook

Setting up env variables

Briefly going over how to set up environment variables. You can also use a .env file with python-dotenv library.

Mac/Linux/WSL

$ export API_ENV_VAR="your-api-key-here"

Windows Powershell

PS> $env:API_ENV_VAR = "your-api-key-here"

Set OpenAI API key

• If you don't have an OpenAI API key, you can sign up here.
• Set OPENAI_API_KEY in your environment

Sign up and Set LangSmith API

• Sign up for LangSmith here, find out more about LangSmith
• and how to use it within your workflow here, and relevant library docs!
• Set LANGCHAIN_API_KEY, LANGCHAIN_TRACING_V2=true in your environment

Set up Tavily API for web search

• Tavily Search API is a search engine optimized for LLMs and RAG, aimed at efficient, quick, and persistent search results.

• You can sign up for an API key here. It's easy to sign up and offers a very generous free tier. Some lessons (in Module 4) will use Tavily.

• Set TAVILY_API_KEY in your environment.

If you have a Mac: Set up LangGraph Studio

• needs Docker Desktop running.
• Download the latest .dmg file here
• Install Docker desktop for Mac here

Running Studio

Graphs for LangGraph Studio are in the module-x/studio/ folders.

• To use Studio, you will need to create a .env file with the relevant API keys in the studio file!
• Run this from the command line to create these files for module 1 to 4, as an example:

$ for i in {1..4}; do
  cp module-$i/studio/.env.example module-$i/studio/.env
  echo "OPENAI_API_KEY=\"$OPENAI_API_KEY\"" > module-$i/studio/.env
done
$ echo "TAVILY_API_KEY=\"$TAVILY_API_KEY\"" >> module-4/studio/.env