litellm

litellm

Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, VLLM, NVIDIA NIM]

github AI Tools Python free
★ 43,450Stars
7,273Forks
43,450Watchers
11Views
Apr 2026Last Update

About litellm

Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, VLLM, NVIDIA NIM]

What you should know about litellm

litellm — Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, VLLM, NVIDIA NIM]. It is categorized under AI Tools and primarily built with Python. The project has gathered 43,450 stars and 7,273 forks on GitHub, indicating strong adoption among developers.

Pricing & licensing: This tool is offered free of charge , released under the Unknown license. The source code is openly available on GitHub, allowing engineers to audit, contribute, or fork as needed.

Use cases & topics: litellm is associated with the following topics: ai-gateway, anthropic, azure-openai, bedrock, gateway, langchain, litellm, llm. Teams working in ai-gateway / anthropic / azure-openai spaces typically evaluate this kind of tool when scoping new architecture decisions or replacing legacy components.

Getting started: Check out the official GitHub repository for installation steps, configuration examples, and the latest release notes. Most teams hit value within the first week if the tool aligns with their existing AI Tools stack.

Editor's note from Fanny Engriana (Founder, Wardigi Digital Agency): when evaluating tools in the AI Tools category for our agency clients, we look at three things first — license clarity, community size, and active maintenance. Tools with explicit license terms and ongoing commits tend to remain viable across multi-year projects.

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