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What is awesome-ai-gateway?

cuihuan/awesome-ai-gateway — explained in plain English

Analysis updated 2026-05-18

18PythonAudience · developerComplexity · 1/5LicenseSetup · easy

In one sentence

A curated, scored comparison of over 50 AI gateway and LLM proxy tools, including a cost benchmark and a decision tree for picking one.

Mindmap

mindmap
  root((Awesome AI Gateway))
    What it does
      Compares 50 plus gateways
      Scores four dimensions
      Cost benchmark
    Tech stack
      Curated list
      Automated scripts
    Use cases
      Pick a gateway
      Compare costs
      Self host decision
    Audience
      Developers
      Founders

Code map

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filefunction / class

What do people build with it?

USE CASE 1

Compare more than 50 AI gateways side by side on compliance, price, security, and stability.

USE CASE 2

Use the cost benchmark to see how much the same AI task can cost across different providers.

USE CASE 3

Follow the decision tree to pick a gateway based on self hosting needs and EU data residency.

USE CASE 4

Copy ready made code to switch an existing OpenAI client to a different gateway with one line.

What is it built with?

Python

How does it compare?

cuihuan/awesome-ai-gatewayandyuneducated/resolve-aicarriex6/cvpr2026_similarity_as_evidence
Stars181818
LanguagePythonPythonPython
Setup difficultyeasyhardhard
Complexity1/54/54/5
Audiencedeveloperdeveloperresearcher

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 5min
No restrictions at all, the content is dedicated to the public domain.

So what is it?

This repository is a curated comparison list of AI gateways and LLM proxies, tools that sit between your application and AI providers like OpenAI, Anthropic, or Google. Instead of your code calling each provider directly, you point it at a gateway with a single URL, and the gateway handles routing the request to the right model, switching to a backup if one fails, caching repeated queries to save money, tracking costs across providers, and enforcing guardrails. The whole point is that you change one line of code (the base URL) and gain flexibility over which AI service you actually use. The list covers more than 50 gateways and scores them on four dimensions: compliance posture, price, security, and stability. It also includes a reproducible cost benchmark showing that the same AI task can cost over 100 times more depending on which model you route to. This makes it genuinely useful beyond a simple link roundup, since you can see the tradeoffs side by side rather than reading each project's own marketing. The entries are grouped by use case. Some gateways are best for teams that want the cheapest access to many models without running their own infrastructure. Others are open-source tools you self-host, which gives more control over data and compliance but requires you to run a server. A few are enterprise-grade solutions designed for Kubernetes clusters with strict audit and guardrail requirements. There is also a section covering gateways designed for the China AI ecosystem, which uses different model providers. The README includes a decision tree to help you pick the right gateway based on whether you want to self-host, which cloud you already use, and whether EU data residency matters. It also provides ready-to-paste code showing how to switch any standard OpenAI client library to use a different gateway with a one-line change. The list is updated daily via automated scripts and accepts community contributions. It is released under CC0, meaning no copyright restrictions on the content.

Copy-paste prompts

Prompt 1
Based on this list, recommend an open source AI gateway I can self host for EU data residency.
Prompt 2
Show me the one line code change to route my OpenAI client through a different gateway.
Prompt 3
Explain the tradeoffs between a hosted AI gateway and a self hosted one from this comparison.
Prompt 4
Help me pick an AI gateway suited for a Kubernetes deployment with strict audit requirements.

Frequently asked questions

What is awesome-ai-gateway?

A curated, scored comparison of over 50 AI gateway and LLM proxy tools, including a cost benchmark and a decision tree for picking one.

What language is awesome-ai-gateway written in?

Mainly Python. The stack also includes Python.

What license does awesome-ai-gateway use?

No restrictions at all, the content is dedicated to the public domain.

How hard is awesome-ai-gateway to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is awesome-ai-gateway for?

Mainly developer.

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