LiteLLM

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Call 100+ LLMs with the same OpenAI code you already have. LiteLLM handles the translation, tracks costs, runs fallbacks, and proxies for your whole team.

Developer Tools

★ 4.7(4,100 reviews)free

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Overview

LiteLLM translates calls to 100+ LLMs into a single OpenAI-compatible interface — switching from GPT-4o to Claude to Gemini is a one-line config change. Run it as a local library, a self-hosted proxy gateway for your whole team, or call the Python SDK directly. Built-in cost tracking, usage logs, rate-limit handling, fallback routing, and per-user budget controls make it practical for production-scale deployments.

Key Features

OpenAI-compatible interface for 100+ LLM providers
Proxy server mode with centralized API key management
Per-model and per-user cost tracking with budget limits
Automatic fallback and load balancing across providers
Streaming response support across all providers
Integrations with Langfuse, Helicone, and other observability tools

Pros

• Zero vendor lock-in — swap any provider with one config line
• Largest provider coverage of any LLM abstraction layer
• Fully open source with a large and active community

Cons

• Self-hosting the proxy adds operational overhead for teams
• SSO and audit log features require the paid enterprise tier
• Occasional lag keeping up with very new model API releases