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LiteLLM is a platform designed to simplify access to large language models (LLMs) by providing a unified gateway for over 100 LLM providers, including OpenAI, Azure, Anthropic, Bedrock, and Gemini. Built with support from Y Combinator, LiteLLM addresses the complexity of managing multiple LLMs by offering features such as spend tracking, rate limiting, prompt management, and model fallbacks, all in a consistent OpenAI-compatible format. It enables platform teams to easily grant developers access to various LLMs while tracking usage costs accurately across teams, users, and organizations. LiteLLM supports both cloud and on-premises deployments, making it flexible for different infrastructure needs. Its core capabilities include automatic spend attribution, logging integrations, and guardrails to ensure controlled and efficient LLM usage. This tool is ideal for engineering teams, platform developers, and enterprises looking to streamline LLM integration and management workflows.
4.5/5
Reliable and consistent API responses
Developer-focused with clear API and dashboard
To provide unified, cost-tracked, and managed access to multiple large language models.
Supports integration with major cloud providers and on-prem deployments, fitting into developer and platform team workflows.
Open source core with enterprise paid plans and custom pricing.
Features with the highest value for users are highlighted here.
Unified LLM access gateway
Automatic spend tracking
OpenAI-compatible API
Rate limiting and budgets
Prompt management
Fallbacks across multiple LLMs
On-premise and cloud deployment
Detailed usage observability
Platform Engineers
Enterprise IT Teams
AI Developers
Startups
DevOps Teams
Product Managers
Data Scientists
Large Enterprises
AI Consultants
Cloud Architects
Open Source
Enterprise
Weekly intelligence on AI strategy, operations, and market shifts. No noise. No narrative. Direct to your inbox.
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