• Project files
• Setup and Dependencies
  • Building and Running the Docker Container
    • Environment Setup

Project files¶

• Author: Krishna Pratardan Taduri kptaduri@umd.edu
• Date: 2025-03-15

This project contains the following files

• Boilerplate files to get the project run in //tutorials

  • changelog.txt
  • conftest.py
  • invoke.yaml
  • pip_list.txt
  • poetry.lock.out
  • pytest.ini
  • repo_config.yaml
  • tasks.py

• README.md: This file

• langchain.API.ipynb: a notebook describing the native API of LangChain

• langchain.API.md: a description of the native API of LangChain

• langchain.API.py: code for using API of LangChain

• langchain.example.ipynb: a notebook implementing a project using LangChain

• langchain.example.md: a markdown description of the project

• langchain.example.py: code for implementing the project

• dev_scripts_tutorial_langchain boilerplate files

• devops mostly boilerplate files

  • devops/docker_build/pyproject.toml: contains the dependency of the package in Poetry format

Setup and Dependencies¶

Building and Running the Docker Container¶

• Go to the top of the repo

  > cd $GIT_ROOT

• Build the thin environment

  > ./helpers_root/dev_scripts_helpers/thin_client/build.py

• Go to the project dir

  > cd tutorial_langchain

• Activate virtual environment:

  > source dev_scripts_tutorial_langchain/thin_client/setenv.sh

• Build Docker Image:

  > i docker_build_local_image --version 1.1.0

• Run Container:

  > i docker_bash --skip-pull --stage local --version 1.1.0

• Launch Jupyter Notebook:

  > i docker_jupyter --skip-pull --stage local --version 1.1.0 -d

Environment Setup¶

Set the OPENAI_API_KEY environment variable for API access:

import os
os.environ["OPENAI_API_KEY"] = "<your_openai_api_key>"

Changelog¶

• 2026-03-01: Initial release