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.
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.
Wie benutzt man 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.
Anwendungsfälle von LiteLLM
Kernfunktionen von LiteLLM
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.
FAQ von 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?
