RubyLLM 1.5.1: Model Registry Validation and Fixes 🛠️

A quick patch release introducing schema validation for our model registry and fixing configuration issues.

📋 Model Schema Validation

To prevent future model configuration errors, we've introduced models_schema.json that validates our model registry. This ensures consistency across all provider model definitions and caught the issues fixed in this release.

🐛 Bug Fixes

Model Capabilities Format

Fixed incorrect capabilities format for Mistral models that was caught by our new schema validation. The capabilities field was incorrectly set as a Hash instead of an Array:

# Before: capabilities: { "chat" => true }
# After: capabilities: ["chat"]

Image Generation Models

Google's Imagen models disappeared from Parsera (our model data source), causing them to lose their proper output modality. We've fixed this by explicitly setting their output modality to image.

🔧 Infrastructure Updates

• JRuby CI: Updated to JRuby 10.0.1.0 for better compatibility
• Appraisal: Automated generation of Appraisal gemfiles for cleaner multi-Rails version testing

Installation

gem 'ruby_llm', '1.5.1'

This is a patch release with full backward compatibility. If you're using Mistral models or Google's Imagen, this update is recommended.

Full Changelog: 1.5.0...1.5.1