Feature Requests

Integrate GPT Bot with Jupyter Kernel for Enhanced Analysis
I would like to request a feature for the Halerium platform that enhances the integration between Jupyter Notebooks/Kernels and a GPT bot. Specifically, if a Jupyter Notebook or a Jupyter Kernel card on the board is connected to a Runner and has a kernel running on it, it would be incredibly beneficial if a GPT bot on the board could connect to the same kernel to assist with analysis tasks. Use Case: The primary use case for this feature is to leverage the capabilities of a GPT bot to provide real-time assistance and insights directly within the context of a running Jupyter Notebook or Kernel. This would streamline the workflow for data scientists, researchers, and analysts by allowing them to interact with the GPT bot without having to switch contexts or manually transfer data between different tools. Benefits: Enhanced Productivity: Users can receive immediate assistance and insights from the GPT bot without leaving the Jupyter session. Seamless Integration: The GPT bot can access the same kernel, ensuring that it has the necessary context and data to provide relevant and accurate responses. Improved Collaboration: Teams can benefit from the combined power of Jupyter's computational capabilities and the GPT bot's analytical prowess, leading to more effective collaboration and problem-solving. Example Scenario: A user is working on a Jupyter Notebook within Halerium, connected to a Runner with an active kernel. The user encounters a complex data analysis problem and needs assistance. The user activates the GPT bot, which connects to the same kernel and gains access to the notebook's context. The user asks the GPT bot for help with data visualization, statistical analysis, or code debugging. The GPT bot executes code based on the current state of the notebook's kernel.
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