Provisioning API

Cortecs lets you provision dedicated LLM instances in two ways:

• Cortecs Web App – an intuitive UI for quick setup

• Provisioning REST API – for automation, scripting, and integration into your workflows

• Python Client – a thin wrapper around the REST API

This page covers the Provisioning API, which allows you to start and stop dedicated models programmatically.

The Provisioning API is used to manage model lifecycles (start/stop). For inference—sending prompts to your model—Cortecs uses vLLM’s OpenAI-compatible interface. Learn more in the vLLM guide and see practical examples in the examples section.

Why Use this API?

• Automate resource allocation

• Reduce cost by shutting down unused instances

Refer to the following sections for authentication, endpoint URLs, and request examples.