ORPilot JSON IR Ends Solver Lock-In
ORPilot's open-source IR captures optimization models as solver-agnostic JSON, letting teams swap solvers or update data without calling the LLM again. It separates model structure from solver syntax, making LLM-generated OR models reproducible in production.
ORPilot's Intermediate Representation is a solver-agnostic, typed JSON schema capturing an optimization model's full mathematical structure, not just solver code. Unlike typical LLM-for-OR tools that force code regeneration when switching solvers or updating data, ORPilot's IR lets teams rerun, reproduce, and port models without another LLM API call. The schema defines sets, parameters, variables, objectives, and constraints as self-describing objects linked to data sources.
Read the original → Towards Data Science
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- #optimization
- #mlops
- #operations-research
- #reproducibility
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