Multi Modal Input Handling With Attachments And Fragments

via “multi-modal input handling with attachments and fragments”

CLI for LLMs — multi-provider, conversation history, templates, embeddings, plugin ecosystem.

Unique: Uses a Fragments abstraction to represent different media types uniformly, allowing the same Prompt class to handle text, images, audio, and files without conditional logic. Attachments are persisted to the conversation log, making multi-modal conversation history queryable and reproducible.

vs others: More unified than OpenAI's API because it abstracts away provider-specific attachment formats, and more persistent than Anthropic's approach because attachments are logged to the database for future reference.