Main Purpose
The main purpose of BerriAI/litellm is to provide a unified interface for accessing various Language Model (LM) APIs. It allows users to call multiple LM APIs using the OpenAI format, including Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate, and more.
Key Features
- API Integration: BerriAI/litellm integrates with multiple LM APIs, providing a unified interface for accessing their functionalities.
- OpenAI Format: It supports the OpenAI format for calling LM APIs, making it easier to work with different models.
- Wide Range of LMs: BerriAI/litellm supports over 100 LMs, including popular ones like OpenAI, HuggingFace, and Azure.
Use Case
- Language Model Integration: BerriAI/litellm is useful for developers and researchers who want to integrate multiple LM APIs into their applications or projects.
- Comparative Analysis: It can be used to compare the performance and results of different LMs by calling them through a unified interface.
