RubyLLM 1.11: xAI Provider & Grok Models 🚀🤖⚡

This release welcomes xAI as a first-class provider, brings Grok models into the registry, and polishes docs around configuration and thinking. Plug in your xAI API key and start chatting with Grok in seconds.

🚀 xAI Provider (Hello, Grok!)

Use xAI’s OpenAI-compatible API via a dedicated provider and jump straight into chat:

RubyLLM.configure do |config|
  config.xai_api_key = ENV["XAI_API_KEY"]
end

chat = RubyLLM.chat(model: "grok-4-fast-non-reasoning")
response = chat.ask("What's the fastest way to parse a CSV in Ruby?")
response.content

xAI is now a first-class provider (:xai) with OpenAI-compatible endpoints under the hood.
Grok models are included in the registry so you can pick by name without extra wiring.
Streaming, tool calls, and structured output work the same way you already use with OpenAI-compatible providers.

Stream responses just like you’re used to:

chat = RubyLLM.chat(model: "grok-3-mini")

chat.ask("Summarize this PR in 3 bullets") do |chunk|
  print chunk.content
end

🧩 Model Registry Refresh

Model metadata and the public models list were refreshed to include Grok models and related updates.

📚 Docs Polishes

Configuration docs now include xAI setup examples.
The thinking guide got a tighter flow and clearer examples.

🛠️ Provider Fixes

Resolved an OpenAI, Bedrock, and Anthropic error introduced by the new URI interface.

Installation

gem "ruby_llm", "1.11.0"

Upgrading from 1.10.x

bundle update ruby_llm

Merged PRs

Add xAI Provider by @infinityrobot and @crmne in #373

Full Changelog: 1.10.0...1.11.0

crmne/ruby_llm 1.11.0 on GitHub