Product attributes Canonical product name: ConstraintDSL Module type: Constraint expression language and rule modeling module Primary category: Decision intelligence Secondary categories: Constraint modeling, rule engineering, optimization guardrails, action validation Intended users: Decision system engineers, optimization engineers, platform architects, AI product teams Applicable lifecycle stage: Decision modeling, optimization setup, rule structuring, action validation, approval guardrail design Typical inputs: Business rules, operational limits, thresholds, eligibility conditions, safety boundaries, scenario parameters, constraint configuration Typical outputs: Structured constraint objects, rule mappings, validation results, solver compatible constraint definitions, action guardrail outputs Supported delivery format: ZIP package delivered automatically by email after purchase Expected package contents: Source files, examples, DSL templates, constraint configuration samples, documentation, tests Runtime environment: Python oriented development environment Integration mode: Decision engine component, optimization preprocessing layer, policy guardrail layer, action validation module Recommended skill level: Advanced Commercial rights: Full commercial use is permitted Modification rights: Modification, custom rule design, internal adaptation, and proprietary integration are permitted Open source policy: Public open sourcing is prohibited Redistribution policy: Resale, redistribution, sublicensing, or repackaging as a standalone module is prohibited Production readiness note: Requires domain rule review, legal or compliance review where applicable, solver compatibility validation, and action safety testing Validation standard: The module is considered valid when sample rules can be expressed, parsed, validated, and applied to accept or reject example actions Description ConstraintDSL provides a formal structure for expressing rules and limits that decision systems must respect. In advanced AI systems, especially those that generate actions, recommendations, schedules, dispatch plans, or optimization outputs, it is not enough to produce a high value answer. The answer must also be legal, feasible, safe, explainable, and consistent with operational boundaries. ConstraintDSL helps convert business rules, equipment limits, eligibility requirements, numerical thresholds, approval conditions, and scenario specific restrictions into structured definitions that other modules can read. It can sit between strategy generation and optimization, or between optimization output and execution approval. For example, a decision engine may want to maximize revenue, but it must also respect resource limits, capacity boundaries, minimum units, contractual obligations, safety thresholds, and manual approval rules. This module gives teams a reusable way to define such constraints rather than hard coding them into scattered scripts. The module does not contain every industry rule by default. Users must still define and validate their own rule library. For production systems, each constraint should have an owner, version, source, test case, and business explanation. This is especially important when the generated action affects money, safety, compliance, or customer operations.
