llmao

Crates.iollmao
lib.rsllmao
version0.0.2
created_at2025-11-23 13:11:13.020428+00
updated_at2026-01-07 21:56:46.20276+00
descriptionLarge Language Model API Ops, an abstraction layer for interfacing with different LLM providers
homepagehttps://github.com/nuttycream/llmao
repositoryhttps://github.com/nuttycream/llmao
max_upload_size
id1946538
size38,695
(nuttycream)

documentation

README

llmao

Large Language Model Abstracted Operations

llmao is an abstraction layer for interfacing with different LLM providers.

The idea is that llmao creates a unified and generic way of communicating between LLM providers. It defines the traits and types but does not include provider implementations, you must bring your own provider client and implement these traits for it.

Design Goals

llmao is heavily inspired by the amazing embedded-hal crate, and so therefore will emulate the same sort of mental model as well as share similar design goals.

llmao shall

  • Serve as a foundation for creating an ecosystem of provider-agnostic LLM operations. An operation in this case, simply means calling an API endpoint.
  • Erase provider-specific details. No OpenAI specific parameters, Claude formatting, or provider endpoints that would leak into this trait API.
  • Use associated types for errors, allowing each provider implementation to define its own error type without forcing allocation or type erasure.
Commit count: 28

cargo fmt