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  • Getting Started | liteLLM
    LiteLLM is an open-source library that gives you a single, unified interface to call 100+ LLMs — OpenAI, Anthropic, Vertex AI, Bedrock, and more — using the OpenAI format
  • GitHub - BerriAI litellm: Python SDK, Proxy Server (AI Gateway) to call . . .
    You can use LiteLLM through either the Proxy Server or Python SDK Both gives you a unified interface to access multiple LLMs (100+ LLMs) Choose the option that best fits your needs: Who Uses It? LiteLLM Performance: 8ms P95 latency at 1k RPS (See benchmarks here) Stable Release: Use docker images with the -stable tag
  • A gentle introduction to LiteLLM - Medium
    Born out of the illustrious Y Combinator program, LiteLLM is a lightweight, powerful abstraction layer that unifies LLM API calls across providers — whether you’re calling OpenAI, Anthropic,
  • Popular LiteLLM PyPI package backdoored to steal . . . - BleepingComputer
    The TeamPCP hacking group continues its supply-chain rampage, now compromising the massively popular "LiteLLM" Python package on PyPI and claiming to have stolen data from hundreds of thousands of
  • litellm · PyPI
    LiteLLM follows the Google Python Style Guide Our automated checks include: All these checks must pass before your PR can be merged Need for simplicity: Our code started to get extremely complicated managing translating calls between Azure, OpenAI and Cohere
  • LiteLLM
    LiteLLM streamlines the complexities of managing multiple LLM models Why Enterprise? Add layers or components to infinitely loop on your page LLM Gateway (OpenAI Proxy) to manage authentication, loadbalancing, and spend tracking across 100+ LLMs All in the OpenAI format
  • LiteLLM: A Guide With Practical Examples - DataCamp
    LiteLLM is an open-source Python library that works as a universal translator for AI models Instead of learning different APIs for each provider, you use one interface that connects to over 100 LLM services
  • The LiteLLM Supply Chain Attack: A Complete Technical Breakdown | The . . .
    An in-depth investigative report on the March 2026 LiteLLM supply chain attack Discover how the Trivy GitHub Actions hack led to a massive PyPI compromise


















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