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LITELLM

Open Source AI Gateway for 100+ LLMs

MIT

ABOUT

Managing LLM calls across providers gets complicated fast — different SDKs, auth patterns, request formats, and error types for every model. LiteLLM removes that friction by providing a unified API with drop-in OpenAI compatibility, so teams can swap providers without rewriting code, track spend across users and teams, enforce guardrails, and handle fallbacks and load balancing in production.

INSTALL
pip install 'litellm[proxy]'

INTEGRATION GUIDE

1. Centralized LLM Gateway for Enterprises — Platform teams deploy LiteLLM Proxy to give developers secure, managed access to 100+ LLMs with virtual keys, rate limits, budgets, and SSO. 2. Multi-Provider Application Development — Developers use the Python SDK to call OpenAI, Anthropic, Azure, Bedrock, etc. through a single interface without managing provider-specific SDKs. 3. Cost Tracking and Chargeback — Finance and platform teams accurately attribute LLM spend to keys, users, teams, or organizations, and enforce budgets and rate limits. 4. LLM Fallbacks and Load Balancing — Production systems automatically route to backup models when a provider is down and distribute traffic across multiple deployments.

TAGS

llmgatewayproxyrouterpythonsdkcost-trackingload-balancing
LiteLLM — AI Tool | Agentic AI For Good