RubyLLM 1.0
One Ruby API for OpenAI, Claude, Gemini, and more. Chat, tools, streaming, Rails integration. No ceremony.
One Ruby API for OpenAI, Claude, Gemini, and more. Chat, tools, streaming, Rails integration. No ceremony.
No provider exposes model capabilities and pricing through their API. So we're building one.
The standard API for LLM model information I announced last month is now live and already integrated into RubyLLM 1.3.0.
Attachments figure themselves out, contexts isolate configuration per tenant, and model data stays current automatically.
How Ruby's async ecosystem transforms resource-intensive LLM applications into efficient, scalable systems - without rewriting your codebase.
Structured output that works, Rails generators that didn't exist, and why we shipped Wednesday, Friday, and Friday again.
Agents aren't magic. They're LLMs that can call your code. RubyLLM 1.12 adds a clean DSL to define and reuse them.
A pragmatic, code-first argument for Ruby as the best language to ship AI products in 2026.
RubyLLM 1.14 ships a Tailwind chat UI, Rails generators for agents and tools, and a simplified config DSL. Watch the full setup in 1:46.
Learn why agent context windows degrade, how context rot harms results, and practical strategies for keeping AI agents focused and reliable.
RubyLLM 1.15 adds image editing, cost tracking, inferred tool parameters, additive callbacks, and Rails fixes.
Models can generate the code. They cannot be accountable for it. The real distinction is whether the result is owned.
RubyLLM 1.16 adds concurrent tools with threads or fibers, Rails-style instrumentation, and proxy support through api_base for every native provider.