1.0.1

🚀 Improvements & Bug Fixes

This release has some important fixes and quality-of-life improvements:

• Fixed temperature handling for OpenAI's o1 and o3 models (they require a temperature of 1.0, which we now normalize automatically)
• Better tool naming with proper stripping of unsupported characters for OpenAI
• Improved model capabilities detection for vision and function support
• Added base64 to dependencies for Ruby 3.4.0+ compatibility
• Enhanced Rails integration documentation with system message examples
• Added VCR support for testing (because integration tests shouldn't require real API calls)
• Fixed model refresh bug - no more stale model lists when you call RubyLLM.models.refresh!

📄 Documentation Enhancements

We've enhanced our documentation across the board:

• Added a section on system prompts to the chat guide
• Improved the contributing guidelines with model naming conventions
• Better examples of streaming responses in the README

🧪 Testing Improvements

• Added comprehensive specs for model filtering and chat functionalities
• Better CI/CD workflows for version validation

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🏆 Shoutouts

Thanks to our contributors for this release: @dalthon, @jaggdl, @Thomascountz, @stevegeek, @jeduardo824, @redox, and @mhmaguire. This is what makes open source great.

New Contributors

• @mhmaguire made their first contribution in #59
• @Thomascountz made their first contribution in #60
• @jaggdl made their first contribution in #56
• @dalthon made their first contribution in #57
• @redox made their first contribution in #38
• @stevegeek made their first contribution in #28
• @jeduardo824 made their first contribution in #54

Full Changelog: 1.0.0...1.0.1

1.0.0

RubyLLM 1.0.0

A beautiful way to work with AI in Ruby. RubyLLM a unified interface to modern AI models from multiple providers with an elegant, Ruby-like API.

Features

• Unified API for OpenAI, Anthropic Claude, Google Gemini, and DeepSeek
• Simple conversation interface with automatic history tracking
• Consistent streaming that works the same way across all providers
• Built-in token tracking for cost management
• Tool integration with a clean, Ruby-like interface
• Rails integration with ActiveRecord persistence via acts_as_chat
• Multimodal support for images, PDFs, and audio
• Embeddings for vector search and semantic analysis
• Image generation with DALL-E and other providers
• Comprehensive error handling with specific error types
• Minimal dependencies for a lightweight footprint

Installation

# In your Gemfile
gem 'ruby_llm'

# Or install directly
gem install ruby_llm

Quick Start

# Configure with API keys
RubyLLM.configure do |config|
  config.openai_api_key = ENV['OPENAI_API_KEY']
  config.anthropic_api_key = ENV['ANTHROPIC_API_KEY']
  config.gemini_api_key = ENV['GEMINI_API_KEY']
end

# Start chatting
chat = RubyLLM.chat
chat.ask "What's the best way to learn Ruby?"

# Or generate an image
image = RubyLLM.paint("a sunset over mountains")
image.save("sunset.png")

# Or create embeddings
embedding = RubyLLM.embed("Ruby is a programmer's best friend")

Documentation

Full documentation is available at rubyllm.com

License

Released under the MIT License.

0.1.0.pre42

Full Changelog: https://github.com/crmne/ruby_llm/commits/0.1.0.pre42