Core Concepts

The central principle in meinGPT is:
Every integration is executed as a tool call for the LLM at runtime.

This enables a uniform execution model across very different system and data types.

Why this matters

• One consistent integration model across many system types
• High flexibility for architecture and rollout
• Unified control for calls, logging, and governance

Permission models

Depending on integration type, different models are possible:

• with permissions (for example user-/role-based)
• without permissions (for example service-level or low-risk data)

Second Core Topic: Integrated Permission System

For the detailed permission model, see:

• Permissions

Related docs

• Integration Landscape
• On-Premise Connections
• Data Integration Guide