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docs/safety_evaluation.md

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@@ -5,7 +5,7 @@ When deploying a RAG app to production, you should evaluate the safety of the an
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* [Deploy an Azure AI project](#deploy-an-azure-ai-project)
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* [Setup the evaluation environment](#setup-the-evaluation-environment)
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* [Run red teaming agent](#run-red-teaming-agent)
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* [Review the red teaming results](#review-the-red-team-results)
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* [Review the red teaming results](#review-the-red-teaming-results)
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## Deploy an Azure AI project
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Each file in this directory corresponds to a single red teaming scan, and contains the following fields:
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* `redteaming_scorecard`: A summary of the scan results, including the attack success rate and the number of questions asked.
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* `redteaming_parameters`: The parameters used for the scan, including the risk categories and attack strategies.
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* `redteaming_data`: A list of the questions asked during the scan, along with the answers received from your app.
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* `scorecard`: A summary of the scan results, including the attack success rate and the number of questions asked.
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* `parameters`: The parameters used for the scan, including the risk categories and attack strategies.
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* `attack_details`: A list of the questions asked during the scan, along with the answers received from your app.
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* `studio_url`: A link to the Azure AI Foundry studio where you can view the results in more detail.
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Learn more in the [Red Teaming Agent documentation](https://learn.microsoft.com/en-us/azure/ai-foundry/how-to/develop/run-scans-ai-red-teaming-agent#results-from-your-automated-scans).

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