BambooAI Tutorial - UMD Classes -- Tutorials

This folder contains the setup for running BambooAI tutorials within a containerized environment.

Quick Start¶

From the root of the repository, change your directory to the BambooAI tutorial folder:

> cd tutorials/BambooAI

Once the location has been changed to the repo run the command to build the image to run dockers:

> ./docker_build.sh

Once the docker has been built you can then go ahead and run the container and launch jupyter notebook using the created image using the command:

> ./docker_jupyter.sh

Once the ./docker_jupyter.sh script is running, work through the following notebooks in order.

For more information on the Docker build system refer to Project template README

Work through the following notebooks in order:

bambooai.API.ipynb: Core BambooAI fundamentals
- Understanding the BambooAI framework architecture
- Working with BambooAI classes and methods
- Building basic agent configurations
- Integration with language models
bambooai.example.ipynb: Real-world application workflow
- End-to-end agentic application example
- Practical problem-solving with BambooAI
- Advanced agent interactions and workflows
- Best practices and patterns
bambooai_utils.py: Utility functions supporting the tutorial notebooks