Examine session data to LLM prompt conversion#78
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Add retrochat-evaluator style rubric-based evaluation to the analytics module. This evaluates user behavior when interacting with AI coding assistants using predefined rubrics. Changes: - Add Rubric, RubricList, RubricScore, RubricEvaluationSummary models - Add rubric_scores and rubric_summary fields to QualitativeOutput - Implement format_messages_for_prompt() to convert session messages - Implement score_rubric() and score_all_rubrics() functions - Add judge prompt template for LLM evaluation - Create resources/rubrics.json with 5 dummy evaluation rubrics - Integrate rubric fallback into generate_qualitative_analysis_fallback()
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Add retrochat-evaluator style rubric-based evaluation to the analytics module. This evaluates user behavior when interacting with AI coding assistants using predefined rubrics.
Changes: