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

> ## Agent Instructions
> These docs moved from docs.flintai.dev to docs.switchagents.ai. Use docs.switchagents.ai for every link and request.
> To search these docs from an AI tool, connect the MCP server at https://docs.switchagents.ai/mcp. The page index is at https://docs.switchagents.ai/llms.txt.

# Choose your path

> Choose between the Switch Trust quickstarts: Discover, Evaluate, and Runtime

Switch Trust gives you a few ways to start, and they answer different questions. Start with Discover to learn what agents you have. Choose Evaluate to attack an agent and see how it holds up. Choose Runtime to watch and protect agents already in production.

Most teams do Discover first, since it needs no changes to running code.

<CardGroup cols={3}>
  <Card title="Discover your agents" icon="radar" href="/switch-trust/getting-started/discover">
    Add a GitHub Action to build an inventory of the agents in your repositories, along with the models, tools, and MCP servers behind them.
  </Card>

  <Card title="Evaluate your agents" icon="crosshairs" href="/switch-trust/getting-started/evaluate">
    Connect an agent, attack it with hostile prompts, and score how well it holds up before it reaches your users.
  </Card>

  <Card title="Monitor your agents at runtime" icon="shield-halved" href="/switch-trust/getting-started/runtime">
    Wrap your LLM client with the Python SDK to capture live sessions and enforce guardrails.
  </Card>
</CardGroup>

## What each one needs

| | **Discover** | **Evaluate** | **Runtime** |
| - | - | - | - |
| **You provide** | A GitHub repository with Python agent code | An agent Switch Trust can reach over HTTP | A running agent you can change |
| **You install** | A GitHub Action | Nothing, you configure it in Switch Trust | The Switch Trust Python SDK |
| **You get** | An agent inventory and the issues to address | A score for how the agent holds up under attack | Live traces and enforced guardrails |

All of them need a Switch Trust API key. Discovery also needs an API key from your own LLM provider, since the scan uses a model to analyze your code and that inference is billed to you. [Google Gemini's free tier](https://aistudio.google.com/apikey) is enough to try it. Evaluation needs no model-provider key of your own, because Switch Trust supplies the attacker and judge models.