🚀 This repository contains hands-on examples from LangGraph Complete Course for Beginners – Complex AI Agents with Python by Vaibhav Mehra.
🦙 LLAMA Models Used:
Instead of OpenAI, this repo uses llama3.2:latest and nomic-embed-text models via Ollama.
Make sure your Ollama server is running and both models are downloaded before running the code:
ollama pull llama3.2:latest
ollama pull nomic-embed-text🧪 Notebook Testing:
This repository also demonstrates how to use Jupyter notebooks as test cases, following the approach from Jupyter Notebook Testing.
Test results are formatted using pytest-json-crtf for better readability and CI/CD integration.
Key features:
- Automated notebook execution validation
- Dynamic test generation for notebooks
- Detailed test reporting with JSON output
- GitHub Actions integration
- Coverage reporting for notebook code
To run notebook tests:
pytest tests/nb_tests/test_nb.py --ctrf test-reports/ctrf/nb-tests.report.json💡 Explore how to build complex AI agents with Python, LangGraph, and LangChain!