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LangGraph Authentication Workflow

Minimal example showing an authentication workflow built with LangGraph, plus a small QA workflow.

Quick start

  1. Clone the repo.
  2. Create a virtualenv and install dependencies:
python -m venv .venv
source .venv/bin/activate   # or `.venv\Scripts\activate` on Windows
pip install -r requirements.txt
# or the single-line install suggested:
pip install -q langgraph==0.2.57 langchain-ibm==0.3.10
  1. Copy .env.example to .env and add your API keys (if you plan to use external LLMs):
cp .env.example .env
# then edit .env and add your keys
  1. Run the workflows with the runner:
python runner.py

Notes

  • The repository excludes .env and other local files via .gitignore.
  • Add your keys locally via .env or environment variables.

About

LangGraph project with two workflows: an authentication flow that validates user credentials with robust error handling, and a question‑answering flow that responds to queries about LangGraph.

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