LiteLLM is an open-source library that simplifies LLM completion and embedding calls. It provides a convenient and easy-to-use interface for calling different LLM models. The core features of LiteLLM include simplified LLM completion and embedding calls, support for multiple LLM models (such as GPT-3.5-turbo and Cohere's command-nightly), and a demo playground to compare LLM models.LiteLLM can be used for various natural language processing tasks, such as text generation, language understanding, chatbot development, and more. It is suitable for both research purposes and building applications that require LLM capabilities.To use LiteLLM, you need to import the 'litellm' library and set the necessary environment variables for the LLM API keys (e.g., OPENAI_API_KEY and COHERE_API_KEY). Once the environment variables are set, you can create a Python function and make LLM completion calls using LiteLLM. LiteLLM allows you to compare different LLM models by providing a demo playground where you can write Python code and see the outputs.