RubyLLM 1.0 – A Beautiful Ruby Way to Work with AI
RubyLLM provides a unified interface to OpenAI, Anthropic, Google, and DeepSeek models with a clean, elegant API that feels like Ruby. What makes it different? Beautiful interfaces: chat = RubyLLM.chat embedding = RubyLLM.embed("Ruby is elegant") image = RubyLLM.paint("a sunset over mountains") Works with multiple providers through one API: # Start with GPT chat = RubyLLM.chat(model: 'gpt-4o-mini') # Switch to Claude? No problem chat.with_model('claude-3-5-sonnet') Streaming that makes sense: chat.ask "Write a story" do |chunk| print chunk.content # Same chunk format for all providers end…
In plain words
RubyLLM is a Ruby library that provides a unified interface for working with AI models from OpenAI, Anthropic, Google, and DeepSeek. It offers a clean API for chat, embeddings, and image generation, allowing developers to switch between providers without changing code. The library includes streaming support with consistent formatting across all providers, Rails integration, and a simplified approach to defining tools. It is designed for Ruby developers who want elegant syntax and the flexibility to use multiple AI services through a single interface.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
RubyLLM provides a unified interface to OpenAI, Anthropic, Google, and DeepSeek models with a clean, elegant API that feels like Ruby. What makes it different? Beautiful interfaces: chat = RubyLLM.chat embedding = RubyLLM.embed("Ruby is elegant") image = RubyLLM.paint("a sunset over mountains") Works with multiple providers through one API: # Start with GPT chat = RubyLLM.chat(model: 'gpt-4o-mini') # Switch to Claude? No problem chat.with_model('claude-3-5-sonnet') Streaming that makes sense: chat.ask "Write a story" do |chunk| print chunk.content # Same chunk format for all providers end Rails integration that just works: class Chat < ApplicationRecord acts_as_chat end Tools without the JSON Schema pain: class Search < RubyLLM::Tool description "Searches our database" param :query, desc: "The search query" def execute(query:) Document.search(query).map(&:title) end end It supports vision, PDFs, audio, and more - all with minimal dependencies. Website: https://rubyllm.com GitHub: https://github.com/crmne/ruby_llm
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