LiteLLM — AI for Software Development

Managing multiple LLM integrations often requires writing custom client code for different SDKs, authentication patterns, and error handling behaviors across providers. LiteLLM solves this operational overhead by providing a unified proxy server and Python SDK that standardizes calls to over 100 LLM providers using the familiar OpenAI format. You can drop LiteLLM into existing codebases without rewriting API call structures, allowing you to switch between providers like OpenAI, Anthropic, Bedrock, Vertex AI, and Azure. The platform includes built-in load balancing, virtual key management, spend tracking, guardrails, and logging to give software engineering teams central operational control over their model infrastructure. Benchmarks published on the repository report an 8ms P95 latency at 1,000 requests per second. Because LiteLLM runs locally or as a self-hosted gateway, you retain complete authority over your infrastructure setup and model routing policies. You can monitor API spending across projects and manage access credentials through its admin dashboard interface. For software developers building multi-model applications, LiteLLM provides a consistent API wrapper that unifies LLM routing, performance management, and telemetry.