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LiteLLM

From Wikipedia, the free encyclopedia


🚅 LiteLLM
DeveloperBerriAI
Release2023
Written inPython and TypeScript
TypeLLM gateway
LicenseMIT License
Websitewww.litellm.ai
Repositoryhttps://github.com/BerriAI/litellm

LiteLLM is an open-source large language model (LLM) gateway developed by BerriAI. 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

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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.[1][2]

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.[2]

LiteLLM also supports the Model Context Protocol (MCP), an open protocol developed by Anthropic for connecting AI applications to external tools and data sources.[3]

Security

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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.[4]

Compatibility

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Supported models

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LiteLLM supports more than 100 large language models through a common OpenAI-compatible interface. Notable supported model families include:[2]

Compatible AI coding software

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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:[5]

See also

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References

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  1. MSV, Janakiram (May 15, 2025). "LiteLLM: An open-source gateway for unified LLM access". InfoWorld. Retrieved September 9, 2026.
  2. 1 2 3 "LiteLLM - Getting Started". LiteLLM. BerriAI. Retrieved September 9, 2026.
  3. "Introducing the Model Context Protocol". Anthropic. November 25, 2024. Retrieved September 9, 2026.
  4. 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.
  5. "LiteLLM Proxy CLI". GitHub. BerriAI. Retrieved September 10, 2026.
  6. "Configure LiteLLM Provider". Cline. Retrieved September 10, 2026.
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