Rules¶

Rules are the atomic unit of compliance evaluation in Opencomplai.

What a rule does¶

Each rule is a deterministic check that:

1. Receives an AssessmentInput (model metadata + optional answers).
2. Returns a RuleResult with a passed boolean, rationale string, and EU AI Act reference.

Rule ID naming convention¶

Rule IDs follow the pattern EU_AIA_<ARTICLE>_<DESCRIPTION>:

The live rule set¶

Rules are implemented in packages/core/src/opencomplai_core/rules.py. Each Rule subclass implements the evaluate(input: AssessmentInput) -> RuleResult method.

The rule engine (in packages/core/src/opencomplai_core/engine.py) discovers all registered Rule subclasses, runs them against the input, and aggregates results into a RiskResult.

Adding new rules¶

See Adding Rules for the step-by-step guide.

Python model reference¶

from opencomplai_core.models import RuleResult

class RuleResult(BaseModel):
    rule_id: str
    rule_name: str
    passed: bool
    rationale: str
    reference: str  # EU AI Act article or clause reference