"""Unified selection-time guard registry for model switching surfaces. Guard modules (``model_cost_guard``, ``model_data_policy_guard``) keep their public APIs — existing tests and mock patch points remain valid; this module only aggregates them. """ from __future__ import annotations from dataclasses import dataclass from typing import Iterable, List, Optional from agent.models_dev import ModelInfo @dataclass(frozen=True) class SelectionWarning: """A selection-time warning a surface must confirm before applying.""" kind: str # "cost" | "data_policy" | future guard kinds title: str model: str provider: str message: str def _wrap(kind: str, title: str, warning, model_name: str, provider: Optional[str]): """Lift a raw guard payload into a :class:`SelectionWarning` (None passes through). Duck-typed: payloads may carry only ``.message``.""" if warning is None: return None return SelectionWarning( kind=kind, title=title, model=getattr(warning, "model", model_name), provider=getattr(warning, "provider", provider or ""), message=warning.message) def _cost_guard( model_name: str, provider: Optional[str], base_url: Optional[str], api_key: Optional[str], model_info: Optional[ModelInfo]) -> Optional[SelectionWarning]: from hermes_cli.model_cost_guard import expensive_model_warning warning = expensive_model_warning( model_name, provider=provider, base_url=base_url, api_key=api_key, model_info=model_info) return _wrap("cost", "Expensive Model Warning", warning, model_name, provider) def _data_policy_guard( model_name: str, provider: Optional[str], base_url: Optional[str], api_key: Optional[str], model_info: Optional[ModelInfo]) -> Optional[SelectionWarning]: from hermes_cli.model_data_policy_guard import data_training_warning warning = data_training_warning(model_name, provider=provider, base_url=base_url) return _wrap("data_policy", "Data-Training Tier Warning", warning, model_name, provider) # Registry, evaluated in order. Add new guard classes here — never at the # individual surfaces. _GUARDS = (_cost_guard, _data_policy_guard) def selection_warnings( model_name: str, *, provider: Optional[str] = None, base_url: Optional[str] = None, api_key: Optional[str] = None, model_info: Optional[ModelInfo] = None, include_kinds: Optional[Iterable[str]] = None) -> List[SelectionWarning]: """Warnings from every registered guard (empty in the common case). ``include_kinds`` restricts which kinds are returned. Guard exceptions are swallowed — never break model selection.""" wanted = set(include_kinds) if include_kinds is not None else None results: List[SelectionWarning] = [] for guard in _GUARDS: try: warning = guard(model_name, provider, base_url, api_key, model_info) except Exception: continue if warning is not None and (wanted is None or warning.kind in wanted): results.append(warning) return results def combined_message(warnings: List[SelectionWarning]) -> str: """One confirm-prompt body for several warnings (one prompt beats two sequential ones).""" return "\n\n".join(w.message for w in warnings) def combined_selection_warning( model_name: str, *, provider: Optional[str] = None, base_url: Optional[str] = None, api_key: Optional[str] = None, model_info: Optional[ModelInfo] = None, ) -> Optional[SelectionWarning]: """Drop-in for ``expensive_model_warning`` call sites: ``None``, the single warning, or a merged ``kind="multiple"`` warning stacking every message.""" warnings = selection_warnings( model_name, provider=provider, base_url=base_url, api_key=api_key, model_info=model_info) if not warnings: return None if len(warnings) == 1: return warnings[0] return SelectionWarning( kind="multiple", title="Model Selection Warning", model=warnings[0].model, provider=warnings[0].provider, message=combined_message(warnings))