Llm

Add LLM chat to Rails with RubyLLM: one API for OpenAI, Claude, and Ollama, acts_as_chat persistence, tool calling, streaming into Turbo, and real trade-offs.

LLM responses stream for 30 seconds while a Rails thread waits. The arithmetic of Puma threads vs open SSE streams, and when Falcon's fibers earn the switch.

Our production multi-agent LLM pipeline in Rails: eight RubyLLM agents on a 21-line base class, a 16-line loop, and the deploy that starved the database pool.

How a Rails team knows whether its LLM agents still work: bounded schemas at the boundary, and a per-iteration audit trail you can read a month later.

Learn proven strategies to reduce LLM costs substantially through token management, caching optimization, prompt engineering, and smart model selection. Practical examples with cost tracking included.

Build AI features in Rails with LLMs. Step-by-step integration guide for OpenAI, Claude, and local models. Production code examples for Ruby developers ✓