> ## Documentation Index
> Fetch the complete documentation index at: https://docs.galileo.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Agent Control

> Learn how to set up Agent Control to safeguard your AI applications.

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](https://docs.agentcontrol.dev/concepts/overview).

## Prerequisites

Install the dependencies:

```python theme={null}
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](/how-to-guides/agent-control/create-a-control)
2. [Initialize and configure Agent Control](/how-to-guides/agent-control/initialize-and-configure-agent-control)
3. [Monitor a control](/how-to-guides/agent-control/monitor-a-control)