OpenAI-Compatible API Gateway · v1 live

One Endpoint.
Every Frontier Model.

Mimo is the enterprise AI API gateway for production teams. Drop-in OpenAI compatibility, an interactive playground, per-key rate limits, streaming, and transparent analytics.

curl — chat completion
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Works with your stack
OpenAI SDKLangChainZcodeOpenClawHermescURL
0
AI Models
99.9%
Uptime
<1s
Median Latency
OpenAI
Compatible
Why Mimo

Built for production teams

Everything you need to ship AI features — gateway, playground, keys, billing and observability in one place.

Drop-in OpenAI Compatibility

Change the base URL to https://mimo.lokerin.net/v1 and your key. Zero code changes across SDKs and agents.

Interactive Playground

Try every model in the browser before writing code. Compare outputs, tune temperature, export snippets. Open playground →

Frontier Models

General agents, reasoning flagships and long-context models behind one key — chat and responses APIs supported.

Streaming & Responses API

Real-time SSE streaming plus /v1/responses for reasoning models. Token params auto-normalized.

Keys, Plans & Limits

Per-key rate limits with Retry-After headers, expirations, plan tiers and fair-use enforcement.

Usage Analytics

Dashboard with daily requests, token usage, 7-day charts, logs and a public status page.

Models

Choose your model

One key, every model. Try them live in the playground.

cutad-agent

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

APIChat
StreamingYes
Best forGeneral tasks
model: "cutad-agent" Try in playground →

muse-spark

Reasoning flagship via the Responses API. Deep analysis, tool-style structured output.

APIResponses
StreamingYes
Best forReasoning
model: "muse-spark-1.3-contributor-free" Try in playground →

deepseek-bitdeer

DeepSeek V4 Flash at scale through high-throughput inference. Great quality per token.

APIChat
StreamingYes
Best forScale
model: "deepseek-bitdeer" Try in playground →

deepseek-opencode

DeepSeek Flash via the reasoning gateway. For experiments and evaluation workloads.

APIChat / Responses
StreamingYes
Best forExperiments
model: "deepseek-opencode" Try in playground →
Playground

Try before you code

No SDK required. Pick a model, type a prompt, compare results — then export the code.

Open AI Playground
Quick Start

Up and running in 3 steps

1

Get your API key

Sign in and generate an API key from your dashboard.

Sign in →
2

Pick a model

Choose cutad-agent for general tasks, muse-spark-1.3-contributor-free for reasoning.

3

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")
resp = client.chat.completions.create(
    model="cutad-agent",
    messages=[{"role": "user", "content": "Hello!"}],
    stream=True,
)
for chunk in resp:
    print(chunk.choices[0].delta.content or "", end="")
javascript
const res = 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

EndpointMethodDescription
/v1/chat/completionsPOSTChat completions (streaming or non-streaming)
/v1/responsesPOSTResponses API for reasoning models (e.g. muse-spark)
/v1/modelsGETList available models

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