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Mark some dataclasses as pydantic dataclasses#1131

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tconley1428
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This is the set of top level types used by Temporal for serialization across activity boundaries. In order to ensure that the models contained in these dataclasses are built prior to use, the dataclasses need to bepydantic.dataclasses.dataclass rather thandataclasses.dataclass

This fixes issues where the types cannot be serialized if the contained types happen not to have been built. This happens particularly often when model logging is disabled, which happened to build the pydantic models as a side effect.

@seratchseratch added enhancementNew feature or request feature:core labelsJul 15, 2025
@rm-openairm-openai merged commit4a31bb6 intoopenai:mainJul 18, 2025
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