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LiteLLM

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🚅 LiteLLM
Developer(s)BerriAI
Initial release2023
Repositoryhttps://github.com/BerriAI/litellm
Written inPython and TypeScript
Engine
    TypeLLM gateway
    LicenseMIT License
    Websitewww.litellm.ai

    Search LiteLLM on Amazon.

    LiteLLM is an open-source large language model (LLM) gateway developed by BerriAI. Founded by Ishaan Jaffer and Krrish Dholakia[1]. It provides a unified OpenAI-compatible application programming interface (API) for accessing and routing requests to different model providers. LiteLLM can be deployed as a self-hosted proxy server or used as a Python library within applications.

    Functionality

    LiteLLM provides a common interface for models and services from providers including OpenAI, Anthropic, Google Gemini, Amazon Bedrock, Microsoft Azure, and Hugging Face. It translates requests and responses between provider APIs into a consistent OpenAI-compatible format, allowing applications to switch between models without separately implementing each provider's interface.[2][3]

    The software also provides model routing, load balancing, fallbacks, authentication, rate limiting, usage monitoring, and cost controls. Its proxy server can act as a centralized API gateway through which multiple applications or users access AI models.[3]

    LiteLLM also supports the Model Context Protocol (MCP), an open protocol developed by Anthropic for connecting AI applications to external tools and data sources.[4]

    Security

    In March 2026, malicious versions of LiteLLM were distributed through the Python Package Index (PyPI) as part of a software supply-chain attack. TechCrunch reported that AI recruiting company Mercor was among the organizations affected by the compromise.[5]

    Compatibility

    Supported models

    LiteLLM supports more than 100 large language models through a common OpenAI-compatible interface. Notable supported model families include:[3]

    Compatible AI coding software

    LiteLLM can be used as an inference gateway for AI-assisted software development tools, routing their model requests through the LiteLLM proxy. Documented integrations include:[6]

    See also

    References

    1. ↑ "LiteLLM: Call every LLM API like it's OpenAI [100+ LLMs]". Y Combinator. Retrieved 2026-10-11.
    2. ↑ MSV, Janakiram (May 15, 2025). "LiteLLM: An open-source gateway for unified LLM access". InfoWorld. Retrieved September 9, 2026.
    3. ↑ 3.0 3.1 3.2 "LiteLLM - Getting Started". LiteLLM. BerriAI. Retrieved September 9, 2026.
    4. ↑ "Introducing the Model Context Protocol". Anthropic. November 25, 2024. Retrieved September 9, 2026.
    5. ↑ Singh, Jagmeet (March 31, 2026). "Mercor says it was hit by cyberattack tied to compromise of open source LiteLLM project". TechCrunch. Retrieved September 9, 2026.
    6. ↑ "LiteLLM Proxy CLI". GitHub. BerriAI. Retrieved September 10, 2026.
    7. ↑ "Configure LiteLLM Provider". Cline. Retrieved September 10, 2026.

    Template:Large language models Template:AI-assisted software development


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