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Documentation Index

Fetch the complete documentation index at: https://koreai.mintlify.app/llms.txt

Use this file to discover all available pages before exploring further.

Administration

Manage workspaces, users, and platform settings.

Workspaces

Overview

Workspaces organize agents, users, and settings for teams or departments.

Create a Workspace

  1. Navigate to AdministrationWorkspaces
  2. Click Create Workspace
  3. Configure:
    • Name and description
    • Default settings
    • Member access

Workspace Settings

SettingDescription
NameDisplay name for the workspace
DescriptionPurpose and scope
Default modelDefault LLM for new agents
GuardrailsWorkspace-level safety settings
BrandingCustom logo and colors

User Management

User Enrollment

Add users to AI for Work:
  1. Go to AdministrationUser ManagementEnrollments
  2. Choose enrollment method:
    • Manual — Add individual users
    • Bulk import — Upload CSV
    • Directory sync — Connect to Azure AD, Okta, etc.
  3. Assign to workspaces and groups

User Groups

Organize users for access control:
Group: Engineering Team
Members: 45 users
Workspaces:
  - Engineering Workspace (full access)
  - Company Knowledge (read access)
Agents:
  - Code Assistant
  - Documentation Bot

Directory Sync

Sync users from identity providers:
ProviderFeatures
Azure ADUsers, groups, automatic sync
OktaSCIM provisioning, groups
Google WorkspaceUsers, organizational units
Configuration:
  1. Go to User ManagementDirectory
  2. Select identity provider
  3. Configure connection credentials
  4. Map groups to workspaces
  5. Enable automatic sync

Assist Configuration

Announcements

Display messages to users:
  1. Go to Assist ConfigurationAnnouncements
  2. Create announcement:
    • Title and message
    • Target users/groups
    • Start and end date
    • Display location

Channel Settings

Configure deployment channels:
ChannelSettings
TeamsApp permissions, available agents
SlackWorkspace access, channels
WebEmbed code, styling, domains

Guardrails

Configure safety settings:
  • Content filtering — Block inappropriate content
  • PII protection — Detect and handle sensitive data
  • Topic restrictions — Limit conversation scope
  • Response limits — Maximum response length

LLM Configuration

Model Settings

Configure available AI models:
ProviderModels
OpenAIGPT-4, GPT-4o, GPT-3.5-turbo
AnthropicClaude 3 Opus, Sonnet, Haiku
Azure OpenAIDeployed models
CustomSelf-hosted or fine-tuned

API Keys

Manage API credentials:
  1. Go to LLM ConfigurationAPI Keys
  2. Add provider credentials
  3. Set usage limits (optional)
  4. Enable/disable for workspaces

Default Models

Set default models for:
  • New agent creation
  • Fallback when preferred model unavailable
  • Specific agent types

Audit Logging

Activity Logs

Track platform activity:
Event TypeExamples
User actionsLogin, agent interaction, feedback
Admin actionsConfiguration changes, user management
System eventsDeployments, errors, integrations

Log Retention

Configure retention policies:
  • Standard: 90 days
  • Extended: 1 year
  • Compliance: Custom retention

Export

Export logs for compliance:
  1. Go to AdministrationAudit Logs
  2. Set date range and filters
  3. Select export format (CSV, JSON)
  4. Download or schedule delivery

API Access

API Keys

Generate API keys for programmatic access:
  1. Go to AdministrationAPIs
  2. Click Create API Key
  3. Configure:
    • Name and description
    • Permissions scope
    • Expiration (optional)
  4. Copy and securely store the key

Rate Limits

TierRequests/minRequests/day
Standard6010,000
Professional300100,000
EnterpriseCustomCustom