crmne/ruby_llm

Health v2 · maintenance only

Adoption not part of the score

4472 stars · 515 forks observed · 2026-10-18

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

RubyLLM is a Ruby framework providing a unified, expressive interface to all major AI providers (OpenAI, Anthropic, Google, Ollama, and any OpenAI-compatible API). It supports chat, streaming, tool calling, image/video generation, embeddings, transcription, moderation, RAG, and agentic workflows with Rails integration.

Use cases

• build a chatbot in Ruby with one API across providers
• switch LLM providers without rewriting code
• add AI chat features to a Rails app with database-backed conversations
• analyze images, PDFs, audio, and video with multimodal models
• generate images from text prompts
• create embeddings for search or RAG
• let the AI call Ruby code via tools
• stream LLM responses in real time

When to choose

• you're building AI features in Ruby or Rails
• you want one consistent interface across multiple LLM providers
• you need chat, tools, RAG, and multimodal support in a single gem
• you want minimal dependencies and Rails-friendly persistence generators

When to avoid

• your stack is Python, Node, or another non-Ruby language
• you need provider-specific features not exposed by the unified API
• you need a standalone inference server rather than a client library

Facets

framework · maturity active

llm-inference agent-framework rag chatbot sdk http-client image-processing speech-recognition large-language-models artificial-intelligence chatbots web-development developer-tools ruby cross-platform multi-provider openai anthropic gemini ollama streaming tools multimodal image-generation embeddings rails-integration ai-agents retrieval-augmented-generation rails

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