This repo uses Jataware's Beaker-Kernel to provide customized contexts for dataset manipulation, model editing and configuration and other core operations within Terarium, thereby enabling Terarium to have an embedded notebook with seameless HMI integration.
In addition to an integrated notebook/coding environment for the scientific workflow, ASKEM Beaker offers an AI assistant that can support scientitific tasks such as model stratification, regridding, etc. The AI assistant is powered by Jataware's Archytas framework, a custom implementation of the ReAct framework. The AI assistant has contextual awareness of code creation and execution in the notebook and can support the Terarium user in generating code for difficult operations in the ASKEM frameworks (e.g. Mira, Decapodes, etc).
To learn more about Beaker for Terarium we encourage developers and users to check out our comprehensive documentation.
Run make .env which will copy the env.example to .env. Make sure to update .env and to set your OPENAI_API_KEY in your environment (e.g. export OPENAI_API_KEY=your_key_here). Next, run make build.
Now you're ready to run the stack with make dev which will run the development stack inside docker-compose.
Note: the developer stack is currently in a transition from
TDStoHMI-Serverand thedocker-compose.yamlneeds to be updated accordingly. As a workaround, you can set.env'sHMI-Serversettings to point to a remote instance ofHMI-Server(e.g.staging) and use thedocker-compose-remotesetup withdocker-compose -f docker-compose-remote.yaml up.
Please refer to the full documentation for askem-beaker to learn more about each supported context and how to leverage it.