How I Unified 14+ AI Models Behind One OpenAI-Compatible API

Daniel Dong — Sun, 24 May 2026 13:13:52 +0000

I got tired of managing 5+ API keys just to let users choose their favorite LLM.

So I built AIBridge — one API key, 14+ models, OpenAI-compatible format.

The Problem
If you've built an AI feature, you probably know this pain:

OpenAI key for GPT-4
Anthropic key for Claude
DeepSeek key for... DeepSeek
Qwen key for Alibaba models
GLM key for Zhipu models
Each has a different API format. Each needs separate error handling. Each has different rate limits.

The Solution
AIBridge sits in front of all these providers and gives you one unified API:

from openai import OpenAI

Same code, different model
client = OpenAI(
api_key="your_aibridge_key",
base_url="https://aibridge-api.com/v1",
)

DeepSeek V4 Pro
response = client.chat.completions.create(
model="deepseek-v4-pro",
messages=[{"role": "user", "content": "Hello!"}],
)

Qwen Max (just change the model name!)
response = client.chat.completions.create(
model="qwen-max",
messages=[{"role": "user", "content": "Hello!"}],
)

That's it. No new SDK. No format conversion. Just change the model name.

Works with LangChain out of the Box

from langchain_openai import ChatOpenAI

llm = ChatOpenAI(
model="deepseek-v4-pro",
openai_api_key="your_aibridge_key",
openai_api_base="https://aibridge-api.com/v1",
)

llm.invoke("Explain quantum computing in 3 sentences")

Supported Models
Provider Models
DeepSeek V4 Pro 🔥, V4 Flash, V3, Coder
Qwen Max, Plus, Qwen3 235B
GLM-4 Plus, Air, Flash
Kimi 8K, 32K, 128K

And growing — new models added regularly.

Pricing (Why It Matters)
Free: 500K tokens/month
Pro: $9.90/month for 5M tokens
Top-up: $2.99 for 1M tokens (one-time, never expires)
Compare that to managing separate API keys where you're billed separately for each provider.

Try It
Sign up: https://aibridge-api.com/dashboard.html
Get your API key (free tier: 500K tokens)
Swap your base_url and api_key
Done.
Full docs: https://aibridge-api.com/docs.html

Why I'm Sharing This
I built this because I needed it for my own projects. If it saves you time, great. If you have feedback or feature requests, drop a comment — I read every one.

Happy building! 🚀

Building an AI API Gateway to Access Multiple LLMs with One Key

Daniel Dong — Wed, 20 May 2026 15:32:18 +0000

Managing multiple LLM APIs is painful. Different SDKs, different error handling, different billing dashboards.

So I built AIBridge - an AI API Gateway that gives you one endpoint for all major LLM providers.

How it works:
Same OpenAI-compatible format. Just change the base URL:

from openai import OpenAI

client = OpenAI(
base_url="https://aibridge-api.com/v1",
api_key="your-aibridge-key"
)

Works with GPT-4, Claude, Gemini - same code!

Key features:

One API key for all models
Automatic fallback if a provider fails
Cost tracking dashboard
Team key management

Current status:
Live now, supporting OpenAI, Anthropic, and Google models. More providers being added.

Try it: https://aibridge-api.com

I'd love feedback - especially what features would make this most useful for your projects.

Happy to answer any questions in the comments!

Forem: Daniel Dong

How I Unified 14+ AI Models Behind One OpenAI-Compatible API

Building an AI API Gateway to Access Multiple LLMs with One Key

Works with GPT-4, Claude, Gemini - same code!