Mahal Systems LogiOR (ORThought)
Fits planning or operations-research copilots that turn a logistics request into a solvable model. Borrow the case format (problem text, reference formulation, reference solver code, optimal value, size and type metadata) and grading on the optimal value.
What it asks the agent to do
- read a logistics or transport planning problem in plain words
- write a mathematical optimization model for it
- write and run solver code (Gurobi) that solves the model
- return the optimal objective value
What to borrow from it
grading designcase template
Caveats
Only 92 problems; needs a Gurobi license beyond the free trial for larger problems; grades the final objective value so a wrong model with the right number passes; no license stated for the data or code.
Details
| Workloads | planning, data analysis, coding, manufacturing |
|---|---|
| Interaction | single turn |
| Environment | terminal |
| End state checked | No |
| Tools | Python, Gurobi solver |
| Grading | programmatic check |
| Size | 92 |
| Data | synthetic |
| Personal data | none |
| License | unknown |
| Harness | own repo |
| Status | active |