[BOUNTY] Multi-Dimensional Quality Scoring for Structured Outputs

[mickelz]

Implementation Summary

I've implemented a multi-dimensional quality scorer for structured outputs as requested in the bounty issue.

Features Implemented

• Auto-detects format: JSON, Markdown, Code, Text
• 5-dimension scoring:
  • Completeness (30%)
  • Format Compliance (20%)
  • Coverage (25%)
  • Clarity (15%)
  • Validity (10%)
• Performance: 100 submissions in <0.01s (requirement: <10s)
• NLP Feedback: Generates actionable feedback for each submission (bonus)
• Batch processing: Supports scoring multiple submissions efficiently

Output Format

{
  "weighted_score": 0.791,
  "quality_rating": "Good",
  "scores": {"completeness": 0.8, ...},
  "feedback": ["Consider adding more fields..."],
  "pass_threshold": true,
  "format_detected": "json"
}

Test Results

All test cases pass with expected scores. The implementation is in quality_scorer.py.

Ready for review! 🎉