LLM as a Service API Documentation

This is the complete API documentation for connecting to the LLM as a Service API using MindCloud's Universal API. If you are new to MindCloud, start with the Introduction to see how one API can sit in front of many different apps.

MindCloud is an integration company that offers one normalized API to access 3,100+ apps from a single place. It cleans up provider-specific quirks, keeps requests and responses consistent, and centralizes authentication so you do not need to manage separate flows for every app. Browse other apps.

Meet LLM as a Service: Send prompts and stream managed LLM chat responses. Keep reading to get started.

Quickstart

Before you run your first LLM as a Service request, you need three things:

A MindCloud account — sign in or create an account at MindCloud.
A MindCloud API Key — create one in API Keys. Keep it on your server.
At least one LLM as a Service connection — create or choose one in Connections. Note its connectionId.

Every LLM as a Service action uses the same URL pattern:

POST https://connect.mindcloud.co/v2/universal/apps/lLMAsAService/actions/{actionSlug}/run

You need a MindCloud API Key and a LLM as a Service connection. Then call an action:

Every response comes back in the same envelope, with your rows in a data array:

{
  "success": true,
  "data": [
    { "id": "1042", "name": "Ava" }
  ],
  "meta": {}
}

After your first request works, use Shape your requests to control arguments, pagination, filtering, fields, and errors.

Authenticate with a MindCloud API Key plus a connectionId for your LLM as a Service account. See LLM as a Service API Authentication for the full flow and how to get your connection credentials.

More Artificial Intelligence apps on the Universal API, behind the same REST shape. Or browse all apps.

Quickstart

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