Raif v1.1.0 – a Rails engine for LLM powered apps

We released Raif v1.1.0 today: https://github.com/CultivateLabs/raif

For anyone not familiar, Raif is a Rails engine for building LLM powered apps. Highlights include: - adapters for various LLM providers - high-level abstractions/models for working with LLM's (Raif::Task for single-shot tasks, Raif::Conversation for chat interfaces, and Raif::Agent for building agentic features) - web admin for viewing/debugging LLM requests/responses

v1.1.0 highlights include: - Support for images and files/PDF's in Raif::Task's - Embedding generation - OpenRouter, GPT-4.1, and Claude 4 support - Stats section in the web admin - Automatic retries for LLM requests that resulted in server errors

Full changelog is here: https://github.com/CultivateLabs/raif/blob/main/CHANGELOG.md