What is BerriAI-litellm?

**LiteLLM** is a powerful Python SDK and Proxy Server designed to seamlessly connect with over 100 LLM APIs, including popular platforms like **OpenAI**, **Azure**, and **HuggingFace**. It simplifies the process of calling these APIs, making it easier for developers to integrate advanced language models into their applications.

What are the features of BerriAI-litellm?

* **Multi-Provider Support**: Connects to various LLM APIs in a unified format. * **Consistent Output**: Ensures responses are always structured the same way, making it easier to handle. * **Retry Logic**: Automatically retries requests across different providers to enhance reliability. * **Cost Tracking**: Monitors usage and expenses across multiple projects. * **Rate Limiting**: Set budgets and limits for API usage to manage costs effectively.

What are the use cases of BerriAI-litellm?

* **Chatbots**: Build intelligent chatbots that can interact with users using natural language. * **Content Generation**: Generate articles, stories, or any text-based content quickly and efficiently. * **Data Analysis**: Use LLMs to analyze and summarize large datasets or documents. * **Educational Tools**: Create applications that assist with learning and provide explanations on various topics.

How to use BerriAI-litellm?

1. **Install LiteLLM**: Use `pip install litellm` to get started. 2. **Set Up Environment Variables**: Configure your API keys for the services you want to use. 3. **Make API Calls**: Use the provided functions to send messages and receive responses from the models. 4. **Explore Streaming**: For real-time applications, enable streaming to get responses as they are generated.