Expose templates of LLM grader instances and default templates of LLM grader classes.#124
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weizhang25
commented
Feb 12, 2026
- Define get_template instance method in LLMGrader to expose the template of LLM grader instances.
- Define get_default_template class method in LLMGrader to expose the default templates of LLM grader classes.
- Updated UTs.
Summary of ChangesHello @weizhang25, 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 enhances the Highlights
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Code Review
This pull request introduces a way to expose templates from LLMGrader instances and classes. It adds a DEFAULT_TEMPLATE class attribute to LLMGrader and its subclasses, and two new methods: get_template() for instance-specific templates and get_default_template() for class-level default templates. The changes are well-implemented and include corresponding updates to unit tests. My main feedback is to consider enforcing that subclasses of LLMGrader override the DEFAULT_TEMPLATE attribute to prevent potential runtime issues.
| # The default template value is just a placeholder. | ||
| # Extended classes must set proper value to DEFAULT_TEMPLATE | ||
| DEFAULT_TEMPLATE = PromptTemplate(messages={}) |
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While the comment correctly states that extended classes must set DEFAULT_TEMPLATE, this is just a convention and not enforced. A developer creating a new subclass of LLMGrader might forget to override this, leading to a grader that uses an empty template, which will likely cause difficult-to-debug runtime errors.
To make this more robust, consider adding a check in LLMGrader.__init__ to ensure that subclasses have overridden DEFAULT_TEMPLATE. For example:
# In LLMGrader.__init__
if type(self) is not LLMGrader and self.DEFAULT_TEMPLATE is LLMGrader.DEFAULT_TEMPLATE:
raise NotImplementedError(
f"{type(self).__name__} must override the 'DEFAULT_TEMPLATE' class attribute."
)This would make the class hierarchy safer and improve the developer experience when extending LLMGrader.
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Will do when I update all the sub classes of LLMGrader,