EasyInstruct provides modular components for processing instructions with LLMs including generators, selectors, prompts, and engine abstractions. It supports chaining multiple LLM operations for tasks like chain-of-thought reasoning and in-context learning. The framework offers both programmatic APIs and Gradio-based interfaces for interacting with various LLM backends.