OpenAI-Compatible API Gateway

One Endpoint.
Every Model.

A production-grade AI API gateway. Drop-in OpenAI compatibility, per-key rate limits, streaming support, and transparent usage analytics.

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curl - chat completion

$ |

AI Models

99.9%

Uptime

<200ms

Latency

OpenAI

Compatible

Why Mimo

Built for developers

Everything you need to integrate AI into your application, nothing you don't.

Drop-in Replacement

Works with any OpenAI SDK. Change the base URL and API key, nothing else. Zero code changes required.

Rate Limiting

Built-in per-key rate limits with Retry-After headers. Fair usage, automatically enforced.

Streaming Support

Server-Sent Events streaming out of the box. Real-time token delivery for responsive UX.

API Key Management

Each user gets unique keys. Create, rotate, set expiration, and revoke from the dashboard.

Models

Choose your model

Two tiers, same API. Pick based on your task complexity.

cutad-agent

General-purpose AI agent. Fast responses for everyday tasks, chat, and content generation.

Rate limitTier-based

StreamingYes

Best forGeneral tasks

model: "cutad-agent"

Recommended

cutad-agent-pro

Enhanced reasoning for complex tasks. Longer context, better accuracy, production-grade output.

Rate limitTier-based

StreamingYes

Best forProduction

model: "cutad-agent-pro"

Quick Start

Up and running in 3 steps

Get your API key

Create a free account and generate an API key from your dashboard.

Create account →

Pick a model

Choose cutad-agent for general tasks or cutad-agent-pro for production.

Make your first call

Use any OpenAI-compatible SDK or plain HTTP. That's it.

bash

curl https://mimo.lokerin.net/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "cutad-agent",
    "messages": [
      {"role": "user", "content": "Hello!"}
    ],
    "stream": true
  }'

python

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://mimo.lokerin.net/v1"
)

response = client.chat.completions.create(
    model="cutad-agent",
    messages=[{"role": "user", "content": "Hello!"}],
    stream=True
)

for chunk in response:
    print(chunk.choices[0].delta.content or "", end="")

javascript

const response = await fetch(
  "https://mimo.lokerin.net/v1/chat/completions",
  {
    method: "POST",
    headers: {
      "Content-Type": "application/json",
      "Authorization": "Bearer YOUR_API_KEY"
    },
    body: JSON.stringify({
      model: "cutad-agent",
      messages: [{ role: "user", content: "Hello!" }],
      stream: true
    })
  }
);

API Reference

Endpoints

Endpoint	Method	Description
`/v1/chat/completions`	POST	Create a chat completion (streaming or non-streaming)
`/v1/models`	GET	List available models

Ready to build?

Get your API key and start making requests in under 5 minutes.

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One Endpoint.Every Model.