docs.litellm.ai - Unified Interface for Accessing 100+ LLMs

docs.litellm.ai Unified Interface for Accessing 100+ LLMs

What is docs.litellm.ai?

LiteLLM is a versatile tool designed to streamline interactions with over 100 large language models (LLMs). It offers a unified interface, allowing users to access various LLMs through a consistent OpenAI-compatible input/output format. This simplifies the development process and reduces the complexity of integrating multiple LLMs into applications.

LiteLLM offers functionalities like consistent output formatting, retry/fallback logic across deployments, and spend tracking. It can be used via a Python SDK for direct integration into code or as a proxy server (LLM Gateway) for centralized management and access control.

Features

Unified Interface: Access 100+ LLMs using a consistent OpenAI-compatible format.
Consistent Output: Text responses are always available at ['choices'][0]['message']['content'].
Retry/Fallback Logic: Built-in mechanisms for handling failures and switching between deployments (e.g., Azure/OpenAI).
Cost Tracking: Monitor and set budgets for LLM usage per project.
Proxy Server (LLM Gateway): Centralized service for managing access to multiple LLMs, including logging, and access control.
Python SDK: Integrate LiteLLM directly into Python code for streamlined development.
Streaming Support: Enable streaming for real-time interactions with LLMs.
Exception Handling: Maps exceptions across providers to OpenAI exception types.
Observability: Pre-defined callbacks for integrating with MLflow, Lunary, Langfuse, Helicone, and more.