INTELLISYS / CONFIGURATION

Models & skills

Shared model connections, local inference controls and skills for employee environments.

THE MODEL SERVICE LAYER

Three sources.
One place to organize them.

Manage local and public model connections alongside vendor-backed CLI environments. Each source keeps its own authentication and authorization method.

MODEL SERVICE PATHS

Local models, public APIs and vendor services

Full size ↗
Local models, public APIs and vendor services. These are different sources with different authorization. Current model calls are direct; proxying, metering and spending controls are roadmap items.
These are different sources with different authorization. Current model calls are direct; proxying, metering and spending controls are roadmap items.

CONFIGURATION AND AUTHORIZATION

Central configuration.
Direct model requests today.

Administrators maintain connections, choose defaults and assign eligible employees. The Harness sends inference requests to the actual endpoint.

Local and intranet models

Manage local inference processes or register an existing enterprise model endpoint. Assign the connection to eligible Harnesses.

Public model APIs

Register endpoints, protocols, keys and model lists. DSH receives settings through its API; pi receives configuration files.

Vendor-backed CLI tools

Manage the installed version, container and terminal entry. Employees currently sign in to Codex CLI and Claude CLI with their vendor accounts.

CURRENTConnections · assignment · runtime management
ROADMAPOptional proxying · usage reporting · spending controls

LOCAL INFERENCE

From hardware to a model service.

CroGate manages independent inference processes on the host. The engine serves model requests on its own endpoint.

01

Detect

Inspect the host’s hardware and available resources.

02

Prepare

Install an engine and acquire or register a model.

03

Run

Create the service, set parameters and observe its state.

04

Assign

Register it as a shared connection for eligible environments.

Local inference engine management
EngineArchitecture scope
llama.cppCPU and supported accelerator paths
vLLMSupported Linux GPU deployments
SGLangSupported Linux GPU deployments
oMLXmacOS engine path; Mac server expansion is planned

SHARED WORKING METHODS

Package the method.
Deliver it where people work.

Skills contain instructions, scripts and reference material. They are managed separately from model services and combined by the runtime during work.

SHARED SKILLS

Make working methods reusable

Full size ↗
Make working methods reusable. Shared skill delivery currently covers managed DSH environments. Wider Harness support, versioning and rollback are future directions.
Shared skill delivery currently covers managed DSH environments. Wider Harness support, versioning and rollback are future directions.

Create

Write a skill or paste an existing method into the shared library.

Upload or import

Bring files and folders, or import a snapshot from a server directory.

Assign

Choose the employees who receive the skill and follow delivery status.