Table of Contents

Management Portal

The Management Portal is the administrative interface for configuring and managing your FoundationaLLM deployment.

Overview

The Management Portal provides IT administrators, developers, and power users with a comprehensive set of tools to:

  • Create and manage AI agents - Configure agent behavior, workflows, and capabilities
  • Connect data sources - Integrate with Azure Data Lake, SharePoint, and other repositories
  • Build data pipelines - Process and index data for agent retrieval
  • Configure AI models - Manage model deployments and API endpoints
  • Control access - Implement role-based access control (RBAC)
  • Customize branding - Personalize the portal appearance

Target Audience

The Management Portal is designed for:

Role Primary Tasks
IT Administrators Instance configuration, security settings, deployment management
Developers Agent creation, workflow configuration, API integration
Power Users Agent management, prompt engineering, data source configuration

Getting Started

Quick Start

  1. Tour of the Management Portal - Learn the interface
  2. Creating Your First Agent - Build your first AI agent

Prerequisites

  • Microsoft Entra ID account with appropriate permissions
  • Access to a deployed FoundationaLLM instance
  • Reader or higher role assignment for Management Portal access

Key Features

Agent Management

Create and configure AI agents with:

  • Multiple workflow types (OpenAI Assistants, LangGraph, Custom)
  • Tool integration (Code Interpreter, DALL-E, Knowledge Search)
  • Customizable system prompts
  • Gatekeeper content safety

Learn more:

Data Management

Connect and process organizational data:

  • Configure data source connections
  • Build data processing pipelines
  • Monitor pipeline execution

Learn more:

Security and Access Control

Implement comprehensive security:

  • Role-based access control (RBAC)
  • Agent-level permissions
  • Agent access tokens for API integration

Learn more:

Platform Configuration

Customize your deployment:

  • Branding and visual identity
  • Portal access configuration
  • Deployment monitoring

Learn more:

Portal Sections

Section Description
Agents Create, view, and manage AI agents and prompts
Data Configure data sources, pipelines, and knowledge sources
Models and Endpoints Manage AI model deployments and API endpoints
Security Configure role assignments and access control
FLLM Platform Branding, configuration, and deployment information

Reference Documentation