ruby_llm

Thank you! Since a few mentioned Responses API: the reason why it wasn't implemented in 1.x is because RubyLLM 1.x effectively assumes a 1:1 mapping between provider and protocol. That assumption no longer holds since OpenAI has 2 protocols with different capabilities, and to access all VertexAI models we need to support a bunch under that single provider. Therefore, a major refactoring to split Protocols and from Providers was needed, as well as a way to route different models to different Protocols under the same Provider, transparently. That's one of the many things that's gonna ship with RubyLLM 2.0. If you're curious: https://github.com/crmne/ruby_llm/commit/d398354da493570b050... https://github.com/crmne/ruby_llm/commit/0875ce2dfeae9d28a3a...

Thank you! Responses API is now implemented and it's coming in RubyLLM 2.0 https://github.com/crmne/ruby_llm/blob/main/lib/ruby_llm/pro...

Be careful with the examples though: https://github.com/crmne/ruby_llm/issues/25

It's not. The method, RubyLLM.chat creates a new instance of the Chat object, as has been copied here: module RubyLLM class Error < StandardError; end class << self def chat(model: nil) Chat.new(model: model) end https://github.com/crmne/ruby_llm/blob/9825f4fea089b1b974961... If you're wondering about module RubyLLM. That's just how Ruby is often written. Addendum: Ruby does not require you to put the opening and closing parenthesis on a function to run that function, and it's not always put there when you have zero or 1 parameter (I find it to be cleaner when you have a parameter, but have no opinion when there isn't a parameter) In the example code from the link itself, you'll see: chat.ask "What's the best way to learn Ruby?" which is the same as chat.ask("What's the best way to learn Ruby?")

Thank you! Not yet, but we have an issue about it https://github.com/crmne/ruby_llm/issues/2

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"