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RubyLLM
RubyLLM is a Ruby-native AI framework that integrates models, tools, and agents through one consistent API in Ruby or Rails.
RubyLLM is a Ruby-native AI framework designed to build AI features in Ruby and Rails applications. It provides a consistent API across 17 hosted and local providers, enabling developers to switch between them without rewriting applications. The framework supports chats, tools, agents, structured output, images, audio, and video. Developers can pass files, stream responses, define tools using Ruby classes, and get structured output as a Hash. It integrates tightly with Rails through Active Record, Active Storage, Active Job, Hotwire, and generators for chat user interfaces.
RubyLLM at a glance
- Best for: Software engineer
- Runs on: Web, API, CLI
- Pricing: Free
- Released: January 2025
- Category: AI coding tool
- Website: rubyllm.com
Key features
- Connect to 17 AI providers
- Maintain chat conversation history
- Send images, recordings, and PDFs
- Stream responses in terminals or Rails views
- Define tools in Ruby classes
- Get structured output as a Hash
- Coordinate agents with workflows and memory
- Track usage and costs
Use it for
- Building chat interfaces in Rails applications
- Executing agentic workflows with memory
- Processing images, audio, and PDFs
- Integrating custom tools and structured outputs
Alternatives to RubyLLM
- WebLLM — Runs high-performance language models directly inside web browsers.
- rLLM — Enables reinforcement learning training for AI agents with minimal code changes.
- LightLLM — It delivers high-speed inference and serving performance for large language models.
- AI/ML API — Access over 1000 AI models using one standard OpenAI-compatible API schema.
- MLC LLM — Enables native optimization and deployment of AI models across platforms.
- Mesh LLM — Run large local models across multiple machines through one OpenAI-compatible endpoint.
- llmware — Build private, local RAG pipelines with 300+ prepackaged models and integrated document parsing.
- LangChain4j — Integrates LLMs and vector stores directly into Java applications.
- vLLM — Maximizes throughput with PagedAttention and continuous batching.
- OpenLLM — It simplifies infrastructure management and optimizes inference speed and cost.
- LiteLLM — One OpenAI-format API for 100+ LLM providers
- MLflow — Complete observability and evaluation for production AI apps.
All RubyLLM alternatives