python-vscode-dev

Use a VSCode dev container as your virtual Python development environment.

Includes dependencies for LangChain, LangGraph, Juypter Notebook, and PyGraphviz (for visualization).

Example LangChain and LangGraph code.

Load environment variables via .env file.

Getting Started

Prerequisites

• install Docker
• install VSCode

Setup

• Important: You must create an .env file by copying .env.example to .env and filling in the values for the dev container to run
• add your Python packages to requirements.txt

Open your project in VSCode

ssh-add ~/.ssh/id_rsa   # to share your git credentials with container
code .                  # open project in VSCode

In VSCode, choose "Reopen in Container" to fire up container. Ensure you setup an .env file before launching dev container.

Open up a terminal in VSCode.

Run env to verify env vars look good.

python src/app.py

Running a Jupyter Notebook

In VSCode terminal, run jupyter notebook --allow-root. Open up a browser and navigate to the URL shown in terminal. --allow-root is fine since Python is running in a dev container.

In browser UI, create a new Python 3 notebook to get started.

If you copy in app.py into the notebook, you can run the code in the notebook and also see graphviz visualizations of the workflow.