Crew Optimizer AI Integration

Solve a linear program and return the solution as JSON.

Solve a MILP using branch-and-bound or OR-Tools fallback.

Parse a natural-language LP specification into structured JSON.

Return heuristic infeasibility analysis for the given LP.

Solve an optimization word problem using data from a file. This tool accepts a natural language problem description and optionally a data file. It parses the data, incorporates it into the problem formulation, and solves the resulting optimization problem. Args: problem_description: Natural language description of the optimization problem. Example: "Minimize total cost subject to demand constraints using the cost and demand data from the file." file_content: Content of the data file (CSV, JSON, Excel, etc.). Can be plain text or base64 encoded. file_format: Format of the file ('csv', 'json', 'excel', 'xlsx', 'auto'). Defaults to 'auto' for automatic detection. encoding: Text encoding for the file (default: 'utf-8'). is_base64: Whether the file_content is base64 encoded (default: False). use_mip: Whether to solve as a mixed-integer program (default: False). use_or_tools: Whether to use OR-Tools for MIP solving (default: False). options: Optional solver options. Returns: Dictionary containing: - 'model': The parsed LP/MIP model - 'solution': The solution to the optimization problem - 'data_summary': Summary of the parsed data (if file was provided)