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  • Supported Endpoints | liteLLM
    Use LiteLLM to call all your LLM APIs in the Anthropic v1 messages format LiteLLM Proxy provides an MCP Gateway that allows you to use a fixed endpoint for all MCP tools and control MCP access by Key, Team Covers Threads, Messages, Assistants Use this to loadbalance across Azure + OpenAI
  • LiteLLM: Your Proxy Passport to the LLM World (and Smart User Management!)
    LiteLLM Handles the Rest: LiteLLM receives the request, authenticates it using the virtual key, and then forwards it to the target LLM provider (e g , OpenAI) using the master API key you configured The response comes back through LiteLLM to your application
  • Integration Options - LiteLLM - Secure LLM traffic in LiteLLM Proxy . . .
    Integrating LiteLLM with Pangea AI Guard LiteLLM is a powerful open-source proxy server that unifies access to multiple LLM providers It offers OpenAI-compatible APIs, provider fallback, logging, rate limiting, load balancing, and caching - making it easy to run AI workloads securely and reliably
  • Using LibreChat with LiteLLM Proxy
    Using LibreChat with LiteLLM Proxy Use LiteLLM Proxy for: Calling 100+ LLMs Huggingface TogetherAI etc in the OpenAI ChatCompletions Completions format; Load balancing - between Multiple Models + Deployments of the same model LiteLLM proxy can handle 1k+ requests second during load tests; Authentication Spend Tracking Virtual Keys
  • LiteLLM Proxy Server (LLM Gateway)
    OpenAI Proxy Server (LLM Gateway) to call 100+ LLMs in a unified interface track spend, set budgets per virtual key user Here is a demo of the proxy To log in pass in:
  • LiteLLM Proxy (LLM Gateway)
    LiteLLM Proxy is an OpenAI-compatible gateway that allows you to interact with multiple LLM providers through a unified API Simply use the litellm_proxy prefix before the model name to route your requests through the proxy
  • How to Use LiteLLM with Ollama - apidog. com
    By using LiteLLM, you can write code once and seamlessly switch between different models and providers—including your locally running Ollama models—with minimal changes This tutorial provides a detailed, step-by-step guide on how to set up and use LiteLLM to interact with Ollama models running on your local machine
  • Streamlining AI Development with LiteLLM Proxy: A Comprehensive Guide
    Complete guide to setting up LiteLLM proxy with Open WebUI for unified AI model management Reduce costs by 30-50%, simplify API integration, and future-proof your applications with Docker-based infrastructure
  • LiteLLM – Dreamsavior
    LiteLLM is a versatile library designed to serve as a unified proxy, providing seamless access to over 100 large language models (LLMs) from various providers It simplifies integration by acting as a single interface for diverse AI services Mandatory Add-On: Requires the “ChatGPT for Translator++” add-on to be installed first API Keys:





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