langchain-litellm and chainlite
The two tools are competitors, with one being an official LangChain interface and the other a third-party implementation aiming for greater compatibility and functionality with LiteLLM.
About langchain-litellm
langchain-ai/langchain-litellm
🦜🔗 LangChain interface to LiteLLM
This tool helps developers who build applications using large language models (LLMs) to easily switch between different LLM providers like Anthropic, Azure, Huggingface, or Replicate, and to manage embedding models. It takes your application's prompts or text data and outputs responses or numerical representations (embeddings) generated by your chosen LLM. This is for developers creating AI-powered applications that need flexibility in their choice of LLM backends.
About chainlite
stanford-oval/chainlite
LangChain + LiteLLM that works
This project helps Python developers build applications that use large language models (LLMs) by simplifying the process of sending prompts and receiving responses. It takes a prompt template file and user-defined inputs, then delivers the LLM's text output. Developers creating LLM-powered features or applications for their end-users would find this useful.
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