Skip to main content
Agent Control provides a centralized layer for evaluating LLM and tool inputs and outputs during agent workflow execution. It helps block harmful content, prompt injection, PII leakage, and other risks without requiring changes to agent code. Agent Control supports the following use cases:
  • For developers: Centralize safety logic and adapt to emerging threats without redeployment.
  • For non-technical teams: Configure and monitor agent safety without touching code.
  • For organizations: Reuse controls across agents with audit-ready traces.
For more information about Agent Control concepts, see Overview.

​
Prerequisites

Install the dependencies: 
pip install "galileo[openai]>=2.3.0" "agent-control-sdk[galileo]>=7.10.0" "agent-control-evaluators>=7.10.0" "agent-control-evaluator-galileo>=7.10.0"

​
Get started with Agent Control

  1. Create a control
  2. Initialize and configure Agent Control
  3. Monitor a control