GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
ruby_llm: A Ruby framework for interacting with major AI providers through a Ruby interface.
Good fit when
- When your application is built in Ruby and you want to use multiple AI services from different providers (such as Anthropic, OpenAI, etc.) without rewriting the integration code for each.
- For developers who prefer a high-level abstraction for AI service interactions that supports rapid prototyping of AI applications like chatbots and RAG systems.
Avoid when
- If you are working in an environment where Ruby is not supported or preferred, and your primary requirement is to use a different programming language ecosystem.
- In scenarios where the specific AI providers you're interested in do not have good support within ruby_llm (check provider compatibility before starting a project).
- Pricing:
- freemium - The library is free and open-source under the MIT license, but some of its functionalities will depend on third-party AI service costs.
- Requirements:
- Min 4 GB RAM; Requires Ruby runtime environment
Observed Jul 12, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (2d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
gem install ruby_llm RubyGemsSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Provides bindings and utilities to interact with major AI providers through a Ruby interface.
Capability facts
- Languages
- ruby
Source: github.language · Sep 20, 2026
Categories
Tags
README
Installation Install RubyLLM 2.0: Configure a provider in your script, or in in Rails: Configure the other providers used by the examples as needed: Gemini for files, xAI for video, Mistral for OCR, and Cohere for reranking. Getting Started shows each setup beside its example. If...
For agents
This page has a .md twin and JSON over the API.