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@BeautyyuYanli BeautyyuYanli commented Jan 26, 2026

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Summary of Changes

Hello @BeautyyuYanli, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request introduces a new opaque_body field to message content and assistant message models, enabling the attachment of arbitrary JSON data. This enhancement provides a flexible way to store additional, unstructured information at both the message content and message levels, improving extensibility without altering core message structures.

Highlights

  • Introduction of opaque_body fields: New opaque_body: JsonValue | None = None fields have been added to both PromptMessageContent and AssistantPromptMessage models, allowing for flexible storage of arbitrary JSON data.
  • Pydantic JsonValue type integration: The JsonValue type from Pydantic is now imported and utilized for the new opaque_body fields, ensuring proper type hinting and validation for JSON data.
  • Future annotations import: The from __future__ import annotations import has been added to message.py to enable postponed evaluation of type annotations, improving forward compatibility and reducing circular import issues.
  • New test case for opaque_body: A new test, test_assistant_message_opaque_body_roundtrip, has been added to test_llm_result.py to verify the correct handling and round-tripping of opaque_body data at both message and content levels.

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Code Review

The pull request successfully introduces opaque_body fields to PromptMessageContent and AssistantPromptMessage models, allowing for flexible storage of arbitrary JSON data at both the content and message levels. The addition of JsonValue from Pydantic is appropriate for this purpose. The new test case test_assistant_message_opaque_body_roundtrip effectively verifies the functionality of these new fields, ensuring that the opaque_body can be correctly set and retrieved. The changes are well-implemented and align with the stated goal of the pull request.

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