"""Smart Onboarding Advisor — the onboarding runtime step (orchestration over existing engines).

Turns (company + products + certifications + target) into inferred assumptions, the next best questions
(<=5, each self-explaining), the capability delta, top measures, evidence requests and completeness —
with NO sales interpretation and NO regulation picking. Orchestrator only: no new engine/registry/
meta-model; certificate->capability hypotheses and target requirements are INJECTED.
"""

from __future__ import annotations

from .engine import advisor_start, apply_answer
from .hypotheses import (
    CapabilityHypothesis,
    HypothesisObservations,
    empirical_confidence,
    inferred_hypotheses,
    record_observation,
    resolve_for_certifications,
)
from .schemas import (
    AdvisorMeasure,
    AdvisorQuestion,
    AdvisorResult,
    InferredAssumption,
    OnboardingInput,
    RejectedAssumption,
)

__all__ = [
    "advisor_start",
    "apply_answer",
    "OnboardingInput",
    "AdvisorResult",
    "AdvisorQuestion",
    "AdvisorMeasure",
    "InferredAssumption",
    "RejectedAssumption",
    "CapabilityHypothesis",
    "HypothesisObservations",
    "empirical_confidence",
    "record_observation",
    "inferred_hypotheses",
    "resolve_for_certifications",
]