LLM Gateway (OpenAI Proxy) to manage authentication, loadbalancing, and spend tracking across 100+ LLMs. All in the OpenAI format.
Spend Tracking
Accurately charge teams for their usage with automatic spend tracking across various providers.
Model Access
Provide seamless access to over 100 LLMs with standardized logging and authentication.
OpenAI-Compatible LLM Fallbacks
Ensure uninterrupted service by using fallback models when primary models are unavailable.
Budgets & Rate Limits
Manage costs effectively with customizable budgets and rate limiting for different teams and projects.
LiteLLM is a Gateway that acts as a proxy to manage authentication, load balancing, and spend tracking across more than 100 language models (LLMs). It is designed to simplify the complexities involved in accessing various LLMs while providing a consistent interface that adheres to the OpenAI format. With features like automatic spend tracking, model access, and the ability to handle fallbacks, LiteLLM is an essential tool for platform teams looking to streamline their operations and reduce overhead.
LiteLLM supports a wide range of LLM providers including OpenAI, Azure, Bedrock, and Anthropic. It offers features like virtual keys, budgets, teams, load balancing, and RPM/TPM limits. The service can be deployed as either cloud-hosted or self-hosted, catering to the needs of large organizations.
Large teams requiring access to multiple LLMs for diverse projects.
Organizations looking to track and manage costs associated with LLM usage.
Companies needing a standardized API for integrating various AI models.
LiteLLM is a Gateway that provides model access, fallbacks, and spend tracking across over 100 LLMs.
LiteLLM automatically tracks spending by attributing costs to keys, users, teams, or organizations, and supports tagging for detailed reports.
Yes, LiteLLM can be deployed as either a cloud-hosted service or self-hosted to suit organizational needs.
