Ortools
Integrates Google's OR-Tools constraint programming solver with Large Language Models using the Model Context Protocol for AI models.
About
Ortools integrates Google's OR-Tools constraint programming solver with Large Language Models through the Model Context Protocol, enabling AI models to submit and validate constraint models, set model parameters, solve constraint satisfaction and optimization problems, and retrieve and analyze solutions. It supports JSON-based model specification with features like integer/boolean variables, linear constraints, linear optimization objectives, timeouts, and binary constraints. This allows users to easily define and solve optimization problems ranging from simple models to complex scenarios like knapsack problems.
Key Features
- Full OR-Tools CP-SAT solver support
- JSON-based model specification
- Supports integer and boolean variables
- Supports linear constraints using OR-Tools method syntax
- Supports linear optimization objectives
Use Cases
- Solving constraint satisfaction problems with LLMs
- Solving optimization problems with LLMs
- Integrating OR-Tools with LLMs through the Model Context Protocol
