# LiteLLM Unified LLM Gateway and Proxy Server

> LiteLLM is an open-source Python SDK and proxy server that provides a unified OpenAI-compatible interface to call 100+ LLM APIs including OpenAI, Anthropic, Azure, Bedrock, and more. It includes cost tracking, guardrails, load balancing, and virtual key management for production deployments.

- Skill: `agentskillexchange/litellm-unified-llm-gateway-and-proxy-server` (Agent Skill)
- Install (CLI): `npx skillmds@latest add agentskillexchange/litellm-unified-llm-gateway-and-proxy-server`
- Raw SKILL.md: https://api.skillmd.com/api/skills/agentskillexchange/litellm-unified-llm-gateway-and-proxy-server/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: DevOps & Infra
- Author: agentskillexchange (https://skillmd.com/u/agentskillexchange)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/agentskillexchange/litellm-unified-llm-gateway-and-proxy-server

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# LiteLLM Unified LLM Gateway and Proxy Server

LiteLLM is an open-source Python SDK and proxy server that provides a unified OpenAI-compatible interface to call 100+ LLM APIs including OpenAI, Anthropic, Azure, Bedrock, and more. It includes cost tracking, guardrails, load balancing, and virtual key management for production deployments.

## Installation

Use the upstream install or setup path that matches your environment:
- **Stable Release:** Use docker images with the -stable tag. These have undergone 12 hour load tests, before being published. [More information about the release cycle here](https://docs.litellm.ai/docs/proxy/release_c...
- Run npm run dev to start the dashboard

Requirements and caveats from upstream:
- You can use LiteLLM through either the Proxy Server or Python SDK. Both give you a unified interface to access multiple LLMs (100+ LLMs). Choose the option that best fits your needs:
- <th style={{width: '43%'}}><strong><a href="https://docs.litellm.ai/docs/">LiteLLM Python SDK</a></strong></th>
- <td style={{width: '43%'}}>Use LiteLLM directly in your Python code</td>

Basic usage or getting-started notes:
- ### Run in Developer Mode
- uv run prisma generate

- Source: https://github.com/BerriAI/litellm
- Extracted from upstream docs: https://raw.githubusercontent.com/BerriAI/litellm/HEAD/README.md

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/litellm-unified-llm-gateway-proxy/)