The filter condition if types is None or item.type not in types: continue is inverted. When types=None, the condition is true (because types is None), so the loop continues and skips ALL items - the opposite of the intended behavior where types=None should capture all items. The correct logic should be if types is not None and item.type not in types: continue.

The _filter_headers() function returns Mapping[str, Union[AnnotatedValue, str]], where sensitive headers are replaced with AnnotatedValue objects. On lines 123-124, these values are stored directly as span attributes. However, the Attributes type only accepts primitive types (str, bool, float, int, or lists/tuples thereof), not AnnotatedValue objects. This may cause type errors or unexpected behavior when these attributes are serialized and sent to Sentry.

The filter condition if types is None or item.type not in types: will skip ALL items when types=None, which inverts the typical filter semantics where None means "capture everything". Currently, calling capture_items() without arguments returns an empty list because every item is skipped. The correct logic should be if types is not None and item.type not in types: to only skip items when a filter is specified and the item doesn't match.