chore: import upstream snapshot with attribution
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"""Registry for thinking managers."""
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from dataclasses import dataclass
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from importlib import import_module
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from typing import Any, Dict, Type
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from schema_registry import register_thinking_schema
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from utils.registry import Registry, RegistryEntry, RegistryError
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from runtime.node.agent.thinking.thinking_manager import ThinkingManagerBase
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thinking_registry = Registry("thinking_mode")
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_BUILTINS_LOADED = False
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@dataclass(slots=True)
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class ThinkingRegistration:
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name: str
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config_cls: Type[Any]
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manager_cls: Type["ThinkingManagerBase"]
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summary: str | None = None
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def _ensure_builtins_loaded() -> None:
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global _BUILTINS_LOADED
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if not _BUILTINS_LOADED:
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import_module("runtime.node.agent.thinking.builtin_thinking")
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_BUILTINS_LOADED = True
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def register_thinking_mode(
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name: str,
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*,
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config_cls: Type[Any],
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manager_cls: Type["ThinkingManagerBase"],
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summary: str | None = None,
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) -> None:
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if name in thinking_registry.names():
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raise RegistryError(f"Thinking mode '{name}' already registered")
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entry = ThinkingRegistration(name=name, config_cls=config_cls, manager_cls=manager_cls, summary=summary)
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thinking_registry.register(name, target=entry)
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register_thinking_schema(name, config_cls=config_cls, summary=summary)
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def get_thinking_registration(name: str) -> ThinkingRegistration:
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_ensure_builtins_loaded()
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entry: RegistryEntry = thinking_registry.get(name)
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registration = entry.load()
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if not isinstance(registration, ThinkingRegistration):
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raise RegistryError(f"Entry '{name}' is not a ThinkingRegistration")
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return registration
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def iter_thinking_registrations() -> Dict[str, ThinkingRegistration]:
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_ensure_builtins_loaded()
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return {name: entry.load() for name, entry in thinking_registry.items()}
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__all__ = [
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"thinking_registry",
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"ThinkingRegistration",
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"register_thinking_mode",
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"get_thinking_registration",
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"iter_thinking_registrations",
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]
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