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Translate CP-SAT infeasible errors into verified diagnoses and solver-checked fixes.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "SchedulerRX · Constraint Debugger Agent" yet — see the docs or source repo.
Analyze why this CP-SAT scheduling model is infeasible: I have nurse rostering constraints, minimum rest times, and skill coverage requirements. Here are the INFEASIBLE solver logs, key constraints, and input data. Explain the conflict in plain English and only suggest fixes you have re-verified by re-solving.
A readable diagnosis of the conflicting constraints and solver-verified feasible fixes.
I plan to reduce the minimum daily staffing from 4 to 3 and relax the consecutive night-shift limit. Re-solve the original model with these changes, determine whether they remove the INFEASIBLE status, and explain whether any conflicts remain.
A feasibility verdict after re-solving, the updated solve result, and any remaining conflicts if still infeasible.
My production scheduling model used to be feasible, but after adding maintenance windows and order-priority constraints it became INFEASIBLE. Compare the constraints before and after the change, identify the new rule combination most likely causing infeasibility, and provide adjustments verified by actually re-solving.
An analysis pinpointing the new conflicting constraints, why they clash, and verified adjustment paths.
Enable hallucination-free debugging for MCP agents using verified AST execution evidence.
Lets AI inspect runtime evidence to diagnose and fix root causes.
Find minimal variable fixes that make equations valid from noisy OCR data.
Track structured reasoning with confidence, branches, and revisions for complex problem solving.
Provides coding agents a queryable source of engineering constraints during code generation.
Access COPT docs, sample code, and citations to use solver APIs accurately.