LiteLLM
What is 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.
How to use LiteLLM?
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's Core Features
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's Use Cases
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.
FAQ from LiteLLM
What LLM models does LiteLLM support?
Can LiteLLM be used for research purposes?
Does LiteLLM have its own pricing?
What is the demo playground in LiteLLM?
LiteLLM Discord
Here is the LiteLLM Discord: https://discord.com/invite/wuPM9dRgDw. For more Discord message, please click here(/discord/wupm9drgdw).
LiteLLM Github
LiteLLM Github Link: https://github.com/BerriAI/litellm
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