Abstract: One or more computing devices receives plugin configuration data through a plugin creation interface. The one or more computing devices creates a plugin based on the plugin configuration data. The plugin serves as an interface between a user and an artificial intelligence model. The one or more computing devices initiates a model training process based on the model type selection. The model training process uses a specific application programming interface (API) endpoint to train the artificial intelligence model. The one or more computing devices stores a trained model output upon completion of the model training process. The one or more computing devices tags the trained model output with the plugin name and an API endpoint. The one or more computing devices validates functionality of the plugin using the trained model output via the API endpoint. The one or more computing devices deploys the plugin to a plugin marketplace upon validation.

Abstract: In an aspect of the disclosure, a method, a computer-readable medium, and a system are provided. The apparatus may include one or more computing devices. The one or more computing devices analyze the natural language prompt using an artificial intelligence (AI) model to determine a sequence of firmware development operations. The one or more computing devices generate, through the AI model, a series of API calls corresponding to the determined sequence of firmware development operations. The one or more computing devices execute the series of API calls to perform the firmware development operations. The one or more computing devices generate a firmware image based on the executed series of API calls.

Abstract: A computer system discovers a plurality of servers in a data center. The computer system onboards the plurality of servers into a data management service. The computer system generates, for each server of the plurality of servers, optimized command lists for multiple communication protocols. The computer system dynamically selects a preferred communication protocol for each server based on performance metrics. The computer system collects sensor data from the plurality of servers using the preferred communication protocol and the optimized command lists. The computer system stores the collected sensor data in a standardized format.