All posts tagged

LLM

RubyLLM 1.0

RubyLLM 1.0

One Ruby API for OpenAI, Claude, Gemini, and more. Chat, tools, streaming, Rails integration. No ceremony.

A Standard API for LLM Capabilities and Pricing

A Standard API for LLM Capabilities and Pricing

No provider exposes model capabilities and pricing through their API. So we're building one.

The LLM Capabilities and Pricing API is Live

The LLM Capabilities and Pricing API is Live

The standard API for LLM model information I announced last month is now live and already integrated into RubyLLM 1.3.0.

RubyLLM 1.3.0: Smarter Attachments, Multi-Tenancy, and No More Manual Model Tracking

Attachments figure themselves out, contexts isolate configuration per tenant, and model data stays current automatically.

Async Ruby is the Future of AI Apps (And It's Already Here)

Async Ruby is the Future of AI Apps (And It's Already Here)

How Ruby's async ecosystem transforms resource-intensive LLM applications into efficient, scalable systems - without rewriting your codebase.

RubyLLM 1.4-1.5.1: Three Releases in Three Days

Structured output that works, Rails generators that didn't exist, and why we shipped Wednesday, Friday, and Friday again.

RubyLLM 1.12: Agents Are Just LLMs with Tools

RubyLLM 1.12: Agents Are Just LLMs with Tools

Agents aren't magic. They're LLMs that can call your code. RubyLLM 1.12 adds a clean DSL to define and reuse them.

Ruby Is the Best Language for Building AI Apps

Ruby Is the Best Language for Building AI Apps

A pragmatic, code-first argument for Ruby as the best language to ship AI products in 2026.

RubyLLM 1.14: From Zero to AI Chat App in Under Two Minutes

RubyLLM 1.14: From Zero to AI Chat App in Under Two Minutes

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.

Your Agent's Context Window Is Not a Junk Drawer

Your Agent's Context Window Is Not a Junk Drawer

Learn why agent context windows degrade, how context rot harms results, and practical strategies for keeping AI agents focused and reliable.

RubyLLM 1.15: Image Editing, Cost Tracking and Less Tool Boilerplate

RubyLLM 1.15: Image Editing, Cost Tracking and Less Tool Boilerplate

RubyLLM 1.15 adds image editing, cost tracking, inferred tool parameters, additive callbacks, and Rails fixes.

Engineering Is Not Dead, Because Accountability Isn't

Models can generate the code. They cannot be accountable for it. The real distinction is whether the result is owned.

RubyLLM 1.16: Concurrent Tool Execution, Rails-Style Instrumentation, and api_base for Every Provider

RubyLLM 1.16: Concurrent Tool Execution, Rails-Style Instrumentation, and api_base for Every Provider

RubyLLM 1.16 adds concurrent tools with threads or fibers, Rails-style instrumentation, and proxy support through api_base for every native provider.