Hi all, I’ve been working on a Ruby library called llm.rb and wanted to share today's release (v4.11.0) because it has come a long way. Most LLM libraries focus on requests and responses. In practice, once you build anything non-trivial, you end up dealing with state, tool execution, streaming, and concurrency as first-class concerns. llm.rb is built around that layer. It provides: - Stateful contexts that can be serialized as JSON and restored to a Ruby object. - Explicit tool execution (local, remote, and MCP) - Streaming with structured callbacks and tool-call events - The ability to start tool execution while streaming (overlapping latency) - Explicit concurrency (threads, fibers, async tasks) - Integration with MCP servers over stdio and HTTP - A unified interface across providers (OpenAI, Anthropic, Google, Ollama, etc.) - Runs on Ruby's stdlib by default, opt-in to optional features like async and net-http-persistent The goal is to treat LLMs as part of your system architecture, not just API calls, while keeping everything explicit and stdlib-friendly. Repo: https://github.com/llmrb/llm.rb Docs: https://0x1eef.github.io/x/llm.rb Thanks