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Notebook Guide
The original notebook is named langgraph_exmaple_multiagents.ipynb (the word exmaple is spelled this way in the uploaded file). It defines its own helpers and examples; it is not a wrapper around the .py script.
- Open the notebook in VS Code or JupyterLab.
- Select a kernel with
langgraph,langchain-core,pydanticandipykernelinstalled. - Run All for the offline examples. The OpenAI cells are skipped by default.
- Optionally set
DIAGRAM_DIR = Path("generated-graphs")in the notebook to export graph Mermaid source.
Opt in to hosted-model examples only after setting OPENAI_API_KEY, choosing an accessible model, and setting RUN_OPENAI_EXAMPLES=1 in the notebook kernel's environment. Do not hardcode a key in notebook source.
The publication package corrects the two prose cells originally marked as Python code (cells 0 and 2). All remaining code cells pass Python syntax compilation; runtime execution still requires installing the dependencies. The actual examples are deliberately separate from the CLI.
Multi-Agent Workflows using LangGraph · Home · Architecture · LLD · Security. This project is licensed under the Apache License, Version 2.0.© 2026 Sudhanshu Shukla · Licensed under the Apache License, Version 2.0.
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