OpenAI Model Registry 1.0.5

A focused minor release enhancing the parameter validation system and improving code quality while maintaining full backward compatibility.

✨ Key Improvements

🔧 Enhanced Parameter Validation System

• New Schema Support: Added support for type: "numeric" with min_value/max_value constraints
• Type Restrictions: Enhanced validation with allow_float and allow_int options
• Standardized Schema: Unified parameter definitions across all 41+ models
• Better Error Messages: Improved parameter validation error reporting

📊 Model Parameter Schema Standardization

• Consistent Format: Updated parameter definitions to use standardized type: "numeric" schema
• Enhanced Constraints: Migrated from min/max to min_value/max_value for clarity

🧪 Enhanced Test Coverage

• Comprehensive CLI Testing: Added full test coverage for existing CLI commands
• 218 Tests Passing: Enhanced test reliability and CI stability
• Environment Handling: Improved test environment variable management

🔧 Technical Details

Parameter Validation Enhancements

# Enhanced numeric parameter validation
registry.validate_parameters('gpt-4', {
    'temperature': 0.7,  # Validates against min_value/max_value
    'max_tokens': 1000   # Enhanced bounds checking
})

Improved Test Coverage for Existing CLI

• Cache Management: Tests for omr cache info, omr cache clear
• Data Inspection: Tests for omr data dump, omr data paths, omr data env
• Update Operations: Tests for omr update check, omr update show-config

🛠️ Code Quality Improvements

• Streamlined Data Validation: Simplified validation pipeline
• Enhanced Documentation: Updated CLI guides and workflow documentation
• Test Reliability: Fixed environment variable handling in CI tests
• Code Consistency: Standardized parameter schema across all models

🔄 Migration Guide

For Library Users

No action required! This release maintains full backward compatibility.

For Contributors

When working with parameter definitions:

• Use type: "numeric" for numeric parameters
• Use min_value/max_value for bounds
• Add allow_float/allow_int for type restrictions

🎯 Focus Areas

This minor release concentrates on:

• Parameter validation reliability
• Schema consistency
• Test coverage completeness
• Code maintainability

---

Full Changelog: v1.0.4...v1.0.5