Litelm has been released as a stripped-down version of the LiteLLM library. It focuses solely on the essential functionalities of routing LLM calls across different providers and translating between various message formats. This new library aims to offer a more lightweight solution for developers who do not require the extensive feature set of the original LiteLLM.
The core capabilities of Litelm include model routing, message translation, streaming, tool use, and embeddings. These functions are implemented in approximately 2,900 lines of code with only two primary dependencies: openai and httpx. This contrasts with LiteLLM's codebase, which exceeds 100,000 lines and includes features like proxy servers, caching layers, and cost tracking that are not part of Litelm.
Litelm supports routing to 19 different LLM providers using a "provider/model-name" syntax. It also accommodates any OpenAI-compatible endpoint via the api_base parameter. The API design of Litelm mirrors that of LiteLLM, using the same function names, arguments, and response types, which simplifies migration for existing LiteLLM users.
The library maps all provider-specific errors to its own exception hierarchy, including `ContextWindowExceededError`, `RateLimitError`, and `AuthenticationError`, allowing for standardized error handling. Additionally, every function in Litelm has an asynchronous variant, such as `acompletion` and `aembedding`, to support asynchronous programming patterns.
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Litelm is a new Python library that extracts the core LLM call routing and message translation functionalities from LiteLLM, reducing its codebase from over 100,000 lines to approximately 2,900 lines with two dependencies. This provides developers with a lightweight alternative for integrating various LLM providers without the additional features present in LiteLLM.