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LiteLLM:面向 100 多种 LLM 的统一 API 网关

📅 2026-03-26 14:32 Nav Toor 人工智能 2 分鐘 1652 字 評分: 89
LiteLLM LLM API 开源 AI 基础设施
📌 一句话摘要 LiteLLM 是一款开源工具,为 100 多种 LLM 提供统一的调用接口,并具备成本追踪、负载均衡和故障转移等企业级功能。 📝 详细摘要 这条推文介绍了 LiteLLM,这是一个通过提供统一 API 格式来简化 LLM 集成的开源项目,支持超过 100 种模型。它提供了成本追踪、速率限制、负载均衡和故障转移等关键的企业级功能,实际上可以替代昂贵的企业级 AI 网关解决方案。 📊 文章信息 AI 评分:89 来源:Nav Toor(@heynavtoor) 作者:Nav Toor 分类:人工智能 语言:英文 阅读时间:7 分钟 字数:1644 标签: LiteLLM,

🚨 Every AI company wants to lock you into their API. Someone just open sourced the master key that unlocks all of them. One interface. 100+ LLMs.

It's called LiteLLM.

And it just hit 1 billion requests processed.

GPT. Claude. Gemini. Llama. Mistral. Bedrock. Azure. Cohere. Groq. 100+ models. One line of code. Same format. Same output. Swap any model by changing a single string.

No rewriting your app. No learning new APIs. No vendor lock-in. Ever.

Here's what this thing does:

→ Call 100+ LLMs using the exact OpenAI format — every model responds the same way

→ Built-in retry and fallback — if OpenAI goes down, it auto-switches to Claude or Gemini

→ Cost tracking per user, per team, per project — know exactly what you're spending

→ Rate limiting and budget caps — set a $500/month limit per team and it enforces it automatically

→ Load balancing across multiple deployments — spread traffic across Azure, OpenAI, and Bedrock

→ Virtual API keys for every team member — no sharing master keys

→ Admin dashboard UI for monitoring everything

→ 8ms P95 latency at 1,000 requests per second

→ Guardrails, PII redaction, and caching built in

→ Works as a Python SDK or a self-hosted proxy gateway

Here's the wildest part:

Enterprise AI gateway companies charge $50K-$200K/year for exactly this. Centralized LLM access. Cost controls. Key management. Usage monitoring. Load balancing.

LiteLLM does all of it. Self-hosted. Free. Backed by Y Combinator. Used by teams processing over 1 billion API requests.

240 million Docker pulls. 10.4K GitHub stars. 920 forks. 7,300 commits. MIT License.

100% Open Source.

(Link in the comments)

查看原文 → 發佈: 2026-03-26 14:32:49 收錄: 2026-03-26 18:00:21

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