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64 lines
2.0 KiB
Python
64 lines
2.0 KiB
Python
"""Model registry and shared ML model helpers.
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Provides a centralized registry of LLM models with their capabilities,
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context limits, pricing, and provider information.
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Also exposes ML model helpers for sharing heavy model instances
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(sentence transformers, SIGLIP, spaCy) so the same model is not loaded
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multiple times across the process.
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"""
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from __future__ import annotations
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from importlib import import_module
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__all__ = [
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# LLM Registry
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"ModelRegistry",
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"ModelInfo",
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"get_model_info",
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"list_models",
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"register_model",
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# ML Model Registry
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"MLModelRegistry",
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"get_sentence_transformer",
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"get_siglip",
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"get_spacy",
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]
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# Keep the package entrypoint lightweight so importing headroom.models does
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# not eagerly load optional ML dependencies until a specific export is used.
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_LAZY_EXPORTS: dict[str, tuple[str, str]] = {
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# LLM registry
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"ModelRegistry": ("headroom.models.registry", "ModelRegistry"),
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"ModelInfo": ("headroom.models.registry", "ModelInfo"),
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"get_model_info": ("headroom.models.registry", "get_model_info"),
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"list_models": ("headroom.models.registry", "list_models"),
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"register_model": ("headroom.models.registry", "register_model"),
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# ML model registry
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"MLModelRegistry": ("headroom.models.ml_models", "MLModelRegistry"),
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"get_sentence_transformer": ("headroom.models.ml_models", "get_sentence_transformer"),
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"get_siglip": ("headroom.models.ml_models", "get_siglip"),
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"get_spacy": ("headroom.models.ml_models", "get_spacy"),
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}
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def __getattr__(name: str) -> object:
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"""Resolve model exports lazily while preserving package imports."""
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if name == "__path__":
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raise AttributeError(name)
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try:
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module_name, attr_name = _LAZY_EXPORTS[name]
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except KeyError as exc:
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raise AttributeError(f"module {__name__!r} has no attribute {name!r}") from exc
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module = import_module(module_name)
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value = getattr(module, attr_name)
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globals()[name] = value
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return value
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def __dir__() -> list[str]:
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return sorted(set(globals()) | set(__all__))
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