Litellm – Simple library to standardize OpenAI, Cohere, Azure LLM I/O
I built this library because langchain was too bloated and I needed a simple abstraction to call multiple LLM APIs. litellm has two functions - completion(), embedding()
In plain words
Litellm is a lightweight library that provides a simplified interface for calling multiple large language model APIs, including OpenAI, Cohere, and Azure. It offers two core functions: completion() for generating text and embedding() for creating embeddings. Designed as a leaner alternative to more complex frameworks, litellm enables developers to work with different LLM providers through a standardized, straightforward abstraction layer without unnecessary overhead.
written from the facts on this page · September 2026
Does the same job
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- LOLiteLLM -Open-Source Library for Anthropic,Azure,OpenAI, etc. API Calls2023 · litellm.ai · ▲5
Needed a simple way to call multiple LLM providers. LiteLLM provides 2 functions - `completion` and `embedding`; and guarantees consistent input/output formats across all providers. That's it!
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Outlines is a Python library that focuses on text generation with large language models. Brandon and I are not LLM experts and started the project a few months ago because we wanted to understand better how the generation process works. Our original background is probabilistic, relational and symbolic programming. Recently we came up with a fast way to generate text that matches a regex (https://blog.normalcomputing.ai/posts/2023-07-27-regex-guide...). The basic idea is simple: regular expressions have an equivalent Deterministic-Finite Automaton (DFA) representation. We…

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Hey everyone, I here is a small open-source project I've been working on lately. I'd love to hear your thoughts and improvement ideas :) GitHub: [github.com/Vincenius/workout-lol](https://github.com/Vincenius/workout-lol)
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