// summary
LiteLLM provides a unified interface to interact with over 100 LLM providers using a consistent OpenAI-compatible format. Developers can utilize it as a Python SDK for direct integration or deploy it as a production-ready proxy server. The platform simplifies LLM management by offering features like load balancing, spend tracking, and virtual keys.
// technical analysis
LiteLLM is an open-source AI gateway designed to simplify the integration of over 100 large language model providers by offering a unified, OpenAI-compatible interface. By abstracting away the complexities of provider-specific SDKs, authentication patterns, and request formats, it enables developers to switch between models seamlessly without rewriting their codebase. The project provides both a Python SDK for direct application integration and a production-ready proxy server that includes enterprise features like spend tracking, load balancing, and guardrails, effectively solving the fragmentation issues inherent in modern LLM development.
// key highlights
// use cases
// getting started
To use the Python SDK, install it via 'uv add litellm' and use the 'completion' function to call models by specifying the provider prefix. For the AI Gateway, install the proxy using 'uv tool install litellm[proxy]' and launch it with 'litellm --model <model_name>'. Once running, you can interact with the proxy server using standard OpenAI client libraries by pointing the base_url to your local instance.