Tutorials

Learn Trace2 through hands-on, step-by-step tutorials.

Getting Started with Tutorials

These tutorials will guide you through building AI systems with Trace2, from basic concepts to advanced techniques.

Available Tutorials

Run the notebook converter to generate tutorials from the Trace2 examples:

npm run docs:convert-notebooks

This will convert all Jupyter notebooks from the Trace2 repository into interactive tutorials.

Learning Path

We recommend following this learning path:

1. Beginner: Start with the Quick Start guide
2. Intermediate: Build your first agent
3. Advanced: Explore multi-agent systems and complex workflows

Interactive Examples

All tutorials include:

• ✅ Complete, runnable code examples
• ✅ Step-by-step explanations
• ✅ "Open in Colab" badges for interactive exploration
• ✅ Expected outputs and results

Coming Soon

Tutorials covering:

• Building optimizable functions
• Creating adaptive AI agents
• Prompt optimization techniques
• Code optimization workflows
• Multi-agent collaboration
• NLP tasks with Trace
• Robotics control

Next Steps