Agent Management

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Agent Management provides a centralized workspace for creating, configuring, monitoring, and controlling agent groups within a project.

An agent group is a logical configuration unit that defines how associated agents operate, including execution settings, available tools and skills, compliance policies, and resource limits.

Why Agent Management Is Required

As organizations deploy AI agents across multiple teams and use cases, maintaining consistent configurations, permissions, and operational controls becomes increasingly complex. Managing agents independently can lead to fragmented governance, inconsistent behavior, and increased administrative overhead.

Agent Management addresses this challenge by providing a centralized layer for organizing and operating agent groups. Teams can manage configurations, apply controls, monitor activity, and oversee agent operations from a single interface.

Core Capabilities

1. Agent Group Configuration

Create and configure agent groups by defining execution adapters, available tools and skills, resource limits, and compliance settings.

2. Centralized Management

View and manage all agent groups within a project, including configuration details, operational status, and execution history.

3. Performance & Compliance Monitoring

Monitor agent activity, model usage, tool invocations, trace volume, and compliance outcomes across agent groups.

4. Lifecycle Control

Control agent operations by starting, pausing, stopping, or draining agent groups individually or in bulk.

Agent Management

Why Agent Management Is Required

Core Capabilities

1. Agent Group Configuration

2. Centralized Management

3. Performance & Compliance Monitoring

4. Lifecycle Control

Agent Management

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