LiteLLM handles loadbalancing, fallbacks and spend tracking across 100+ LLMs. all in the OpenAI format
LiteLLM is an advanced load-balancing solution designed to optimize the performance of over 100 large language models (LLMs) while maintaining compatibility with the OpenAI format. This innovative platform efficiently manages load distribution, fallbacks, and spend tracking, ensuring a seamless experience for users utilizing AI technologies.
To use LiteLLM, simply deploy the service either through a cloud solution or run it open source. For cloud users, LiteLLM offers a free tier for exploration. Users can create their keys for accessing different models, load balance requests, and track their spending on-demand.
LiteLLM provides a cloud-free option, allowing users to deploy and explore the service without any upfront costs. However, users who require advanced features and higher usage limits may consider pricing tiers based on their needs. Pricing details should be checked on the official website for the most current information.
Yes, LiteLLM is designed to efficiently handle requests across 100+ LLMs at the same time, allowing for diverse use cases without compromise.
LiteLLM has built-in fallback mechanisms that automatically redirect requests to functioning models, ensuring continuous service without manual intervention.
Free tier offerings may come with limitations, while paid subscriptions may offer increased request allowances. Check the specifics in the pricing section for accurate information.
Absolutely! LiteLLM can be deployed as an open-source solution. This provides flexibility for those who prefer to manage their own resources.
LiteLLM is actively maintained and improved by a community of over 150 contributors, ensuring that users frequently receive updates and new features. Check the updates section for the latest information.
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