"""
Adaptive LLM Novelty Suppression Framework.

The package exposes metric analyzers, MEA distance utilities, and adaptive
decoding recommendations. Imports are lazy so lightweight modules can be used
without immediately importing every ML dependency.
"""

from importlib import import_module

__version__ = "1.0.0"

_EXPORTS = {
    "AdaptiveController": ("framework.controller", "AdaptiveController"),
    "BiasAnalyzer": ("framework.bias", "BiasAnalyzer"),
    "DecayFitResult": ("framework.information_decay", "DecayFitResult"),
    "DiversityAnalyzer": ("framework.diversity", "DiversityAnalyzer"),
    "EnhancedBiasAnalyzer": ("framework.bias_v2", "EnhancedBiasAnalyzer"),
    "MEADistanceCalculator": ("framework.mea_distance", "MEADistanceCalculator"),
    "MEADistanceCalculatorV2": ("framework.mea_distance", "MEADistanceCalculatorV2"),
    "ModelEvaluator": ("framework.evaluator", "ModelEvaluator"),
    "NoveltyAnalyzer": ("framework.novelty", "NoveltyAnalyzer"),
    "PerplexityAnalyzer": ("framework.perplexity", "PerplexityAnalyzer"),
    "QualityAnalyzer": ("framework.quality", "QualityAnalyzer"),
    "SectorSensitivityAnalyzer": ("framework.sector_sensitivity", "SectorSensitivityAnalyzer"),
    "SemanticNoveltyAnalyzer": ("framework.semantic_novelty", "SemanticNoveltyAnalyzer"),
    "StochasticDecayAnalyzer": ("framework.information_decay", "StochasticDecayAnalyzer"),
}

__all__ = sorted(_EXPORTS)


def __getattr__(name):
    if name not in _EXPORTS:
        raise AttributeError(f"module 'framework' has no attribute {name!r}")
    module_name, attr_name = _EXPORTS[name]
    value = getattr(import_module(module_name), attr_name)
    globals()[name] = value
    return value