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()
Litellm – Simple library to standardize OpenAI, Cohere, Azure LLM I/O launched on July 27, 2023 with 62 votes, #1,353 of 4,347 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 3 years on.
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
From the sources
The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and logging [Bedrock, Azure, OpenAI, Anthropic, OpenAI, VertexAI, vLLM, Nvidia NIM] - BerriAI/litellm
Does a similar job
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LiteLLM -Open-Source Library for Anthropic,Azure,OpenAI, etc. API Calls2023 · litellm.ai · ▲5Needed 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!
liteLLM Proxy Server: 50+ LLM Models, Error Handling, Caching2023 · github.com · ▲140Hello hacker news, I’m the maintainer of liteLLM() - package to simplify input/output to OpenAI, Azure, Cohere, Anthropic, Hugging face API Endpoints: https://github.com/BerriAI/litellm/ We’re open sourcing our implementation of liteLLM proxy: https://github.com/BerriAI/litellm/blob/main/cookbook/proxy-... TLDR: It has one API endpoint /chat/completions and standardizes input/output for 50+ LLM models + handles logging, error tracking, caching, streaming What can liteLLM proxy do? - It’s a central place to…
Wordllama – Things you can do with the token embeddings of an LLM2024 · github.com · ▲370After working with LLMs for long enough, I found myself wanting a lightweight utility for doing various small tasks to prepare inputs, locate information and create evaluators. This library is two things: a very simple model and utilities that inference it (eg. fuzzy deduplication). The target platform is CPU, and it’s intended to be light, fast and pip installable — a library that lowers the barrier to working with strings semantically. You don’t need to install pytorch to use it, or any deep learning runtimes. How can this be accomplished? The model is simply token embeddings that are…
LLM Gateway2025 · llmgateway.io · ▲296I built an OpenAI-compatible LLM gateway that routes requests to OpenAI, Anthropic, Ollama, vLLM, llama-server, SGLang... anything that speaks /v1/chat/completions. Single Go binary, one YAML config file, no infrastructure. It does the things you'd expect from this kind of gateway... semantic routing via a three-layer cascade (keyword heuristics, embedding similarity, LLM classifier) that picks the best model when clients omit the model field, weighted round-robin load balancing across local inference servers with health checks and failover. The part I think is most…

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