OpenAI-Compatible API Gateway for Side Projects
Small AI products often start with one model provider and one SDK. That works until the project needs a backup model, a cheaper model, image generation, or a coding assistant that expects a slightly different API style.
An OpenAI-compatible API gateway gives a small team one stable integration point:
https://aisupermarket.work/v1
You keep the familiar OpenAI SDK shape while routing requests through AI Supermarket.
Who This Is For
This setup is a good fit for:
- solo developers building AI side projects
- small SaaS teams testing multiple model families
- internal tools that need a stable OpenAI-compatible endpoint
- coding workflows using CLI agents or IDE assistants
It is less useful if your application depends on a provider-specific feature that is not exposed through a compatible endpoint.
Why This Keyword Is a Good Niche
The phrase "OpenAI-compatible API gateway" is specific. It is not as broad as "AI API", and it has clear search intent: the reader is probably already trying to configure a Base URL, SDK, or proxy-compatible endpoint.
That makes it a good long-tail topic for a technical documentation blog.
Basic OpenAI-Compatible Setup
Python:
from openai import OpenAI
client = OpenAI(
api_key="your-api-key",
base_url="https://aisupermarket.work/v1",
)
response = client.responses.create(
model="your-model",
input="Write a short product description for an AI dashboard."
)
print(response.output_text)
JavaScript:
import OpenAI from "openai";
const client = new OpenAI({
apiKey: "your-api-key",
baseURL: "https://aisupermarket.work/v1",
});
const response = await client.responses.create({
model: "your-model",
input: "Write a short product description for an AI dashboard.",
});
console.log(response.output_text);
Common Mistakes
The most common mistake is mixing the portal URL with the API URL.
Use this for OpenAI-compatible requests:
https://aisupermarket.work/v1
Use this only for the browser portal:
https://aisupermarket.work
Another common mistake is copying a model name from an example without checking whether that model is available in your account group.
Always check available models first:
curl https://aisupermarket.work/v1/models \
-H "Authorization: Bearer your-api-key"
Practical Checklist
Before debugging your app code, confirm:
- the API Key starts with the expected prefix
- the Key is enabled
- the Key is assigned to the correct group
- the account has balance or subscription quota
- the Base URL includes
/v1for OpenAI-compatible SDKs - the model name appears in the available model list
