Text2Sim
CreatedIamCatoBot
Enables simulation capabilities within natural language environments by integrating with LLMs.
About
Text2Sim is a simulation engine designed to support multiple modeling paradigms, including Discrete-Event Simulation (DES) and System Dynamics (SD). By integrating with Large Language Models (LLMs) via the Model Context Protocol (MCP), Text2Sim allows users to create and run simulations using natural language prompts within environments like Claude Desktop. It offers a flexible platform for building simulations across various domains, from airport operations to supply chains, while ensuring secure and validated model execution.
Key Features
- Supports System Dynamics (SD) using PySD
- 1 GitHub stars
- Integrates with LLMs using the Model Context Protocol (MCP)
- Uses regex-based parsing for secure distribution input
- Supports Discrete-Event Simulation (DES) using SimPy
- Offers real-time metrics for both DES and SD models
Use Cases
- Simulating airport operations
- Analyzing supply chain dynamics
- Modeling healthcare systems