LiteLLM is an open-source tool for unified access and integration of large language models. Acting as an AI gateway, it standardizes calls to 100+ LLMs to simplify integration, management and operations, reducing the complexity of multi-model setups.
LiteLLM supports over 100 LLM providers, including OpenAI, Anthropic, Google Gemini, AWS Bedrock, Azure OpenAI, Cohere, Mistral, Ollama, and models hosted on Hugging Face, among others.
LiteLLM offers centralized cost tracking to monitor token usage and expenses by model, project and team. It supports budget alerts and quotas, and helps optimize costs through request caching and intelligent routing.
LiteLLM can be integrated directly via a Python SDK or deployed as a standalone proxy server. It supports deployment on cloud or on-premises Kubernetes using Docker, Helm or Terraform.
If your application always uses a single provider, introducing LiteLLM may add unnecessary architectural complexity. It’s best suited for teams and organizations that need multi-model flexibility, centralized governance or cost controls.
LiteLLM includes intelligent routing and failover mechanisms. If a primary model becomes unavailable, hits rate limits, or times out, it can automatically switch to preconfigured fallback models to maintain service continuity and resilience.
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