Retrieve a complete list of all traffic simulations, including IDs, names, statuses, and execution timeframes, to quickly access and manage simulation data.
Enables LLMs to access Fujitsu's Digital Rehearsal API through natural language, allowing users to run and analyze simulations of human and social behavior in digital space.
A server implementation that allows secure communication between MCP clients and privateGPT, enabling users to chat with privateGPT using knowledge bases and manage sources, groups, and users through a standardized Model Context Protocol.
Retrieve the complete configuration and parameter set for a simulation dataset, including region settings, time ranges, and scenario parameters, using the dataset ID.
Create structured simulation configurations from natural language descriptions, interpreting user requirements as technical parameters for traffic simulation.
Create and run a simulation from a specified use case and uploaded files, with adjustable parameters, to analyze human and social behavior in a digital twin.