Topic
Ruby on Rails LLM Integration
12 posts on ruby on rails llm integration — part of api integration on the n4n AI blog.
Testing LLM API integrations in RSpec with VCR
Learn how to test Ruby LLM integrations reliably with rspec vcr llm api testing: record HTTP calls, fake latency, and assert token usage.
Streaming LLM responses to the browser with ActionCable
A practical guide to rails actioncable llm streaming: wire Ruby on Rails WebSockets to an LLM API and push token deltas to the browser live.
Storing LLM API keys with Rails encrypted credentials
A practical guide to managing Rails encrypted credentials API key storage for LLM services, including setup, rotation, and verification steps.
Rate limiting LLM requests in Rails with rack-attack
Implement rails rack-attack llm rate limiting to protect your Rails app and LLM provider quotas. Step-by-step throttling, token-aware guards, and tests.
Net::HTTP vs Faraday for Ruby LLM API clients
A pragmatic head-to-head comparison of Net::HTTP vs Faraday for Ruby LLM API clients, covering ergonomics, latency, and ecosystem tradeoffs.
Handling timeouts in Ruby LLM API clients
Learn practical ruby llm api timeout handling: configure connect/read timeouts, retry with backoff, circuit breakers, and verify with fault injection.
Background LLM calls in Rails with Sidekiq
Step-by-step guide to implementing rails sidekiq background llm calls: job design, retries, idempotency, and streaming without blocking web requests.
The ruby-openai gem: a quick integration guide
Hands-on ruby-openai gem integration tutorial for Rails: install, configure, stream chat, handle errors, and target any OpenAI-compatible endpoint with code.
Switching a Rails app from OpenAI to n4n
Step-by-step guide to switch a Rails app from OpenAI to n4n: repoint the API base, map models, and verify with tests. Includes runnable Ruby and curl snippets.
Calling the OpenAI API from Ruby on Rails with Faraday
A hands-on tutorial for Rails engineers: wire up Faraday to call the OpenAI API from Ruby on Rails, handle auth, streaming, and errors with runnable code.
Building a chat feature in Rails with Hotwire and n4n
Hands-on tutorial: build a Rails Hotwire chat feature backed by n4n's OpenAI-compatible LLM gateway. Models, controllers, Turbo streams, and code.
ActiveJob retry strategies for failed LLM API calls
Practical ActiveJob retry patterns for resilient Rails integrations with LLM APIs, covering backoff, idempotency, provider fallback, and queue tuning.
More topics in api integration
- Function Calling Fundamentals27
- Structured Outputs & JSON Mode19
- cURL LLM API Cookbook15
- Integrating GPT-5, Claude Opus 4.8, Gemini 3, Llama 4 & More via One API15
- Next.js AI Chat Integration (App Router + Vercel AI SDK)15
- FastAPI LLM Backend Integration14
- Go net/http LLM API Client14
- LangChain + OpenAI-Compatible Gateway Integration14
- Node.js OpenAI-Compatible SDK Integration14
- Python + OpenAI-Compatible SDK Integration14
- Rate Limits, Retries & Backoff Strategies14
- React Streaming Chat UI Patterns14