LiteLLM

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.

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.

LiteLLM supports multiple LLM models, such as GPT-3.5-turbo and Cohere's command-nightly.

Yes, LiteLLM can be used for research purposes as it simplifies LLM completion and embedding calls in Python.

No, LiteLLM is an open-source library and does not have its own pricing. The pricing of the underlying LLM models may vary and should be referred to their respective providers.

The demo playground in LiteLLM allows users to compare different LLM models by writing Python code and seeing the outputs.