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.github/policies/disallow-edits.yml

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@${issueAuthor} - You tried to add an index file to this repository; this is not permitted so your pull request will be closed automatically.
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- closePullRequest
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- description: Close PRs to the "personalizer" and "responsible-ai" folders where the author isn't a member of the MicrosoftDocs org (i.e. PRs in public repo).
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- description: Close PRs to the "responsible-ai" folders where the author isn't a member of the MicrosoftDocs org (i.e. PRs in public repo).
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if:
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- payloadType: Pull_Request
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- isAction:
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action: Opened
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- or:
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- filesMatchPattern:
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matchAny: true
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pattern: articles/ai-foundry/responsible-ai/*
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- filesMatchPattern:
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matchAny: true
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pattern: articles/ai-services/personalizer/*
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- filesMatchPattern:
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matchAny: true
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pattern: articles/ai-foundry/responsible-ai/*
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- not:
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activitySenderHasAssociation:
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association: Member
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@${issueAuthor} - Pull requests that modify files in this folder aren't accepted from public contributors.
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- closePullRequest
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- description: \@mention specific people when a PR is opened in the "personalizer" or "responsible-ai" folder.
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if:
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- payloadType: Pull_Request
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- isAction:
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action: Opened
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- or:
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- filesMatchPattern:
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matchAny: true
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pattern: articles/ai-foundry/responsible-ai/*
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- filesMatchPattern:
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matchAny: true
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pattern: articles/ai-services/personalizer/*
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association: Member
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or:
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- isActivitySender:
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user: eric-urban
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- isActivitySender:
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user: nitinme
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- isActivitySender:
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user: mrbullwinkle
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then:
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- addReply:
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reply: >-
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@${issueAuthor} - Please don't sign off on this PR. The area owners will sign off once they've reviewed your contribution.
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- mentionUsers:
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mentionees:
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- eric-urban
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- nitinme
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- mrbullwinkle
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replyTemplate: ${mentionees} - Please review this PR and sign off when you're ready to merge it.
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assignMentionees: True # This part probably won't work since the bot doesn't have write perms.
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- addLabel:
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label: needs-human-review
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- description: \@mention specific people when a PR is opened in the "ai-services/responsible-ai" folder.
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- description: \@mention specific people when a PR is opened in the "ai-foundry/responsible-ai" folder.
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- payloadType: Pull_Request
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pattern: articles/ai-services/responsible-ai/*
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pattern: articles/ai-foundry/responsible-ai/*
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- isActivitySender:
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- isActivitySender:
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- isActivitySender:
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- patrickfarley
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- jboback
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replyTemplate: ${mentionees} - Please review this PR and sign off when you're ready to merge it.

articles/ai-foundry/agents/how-to/tools/openapi-spec-samples.md

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author: aahill
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ms.date: 06/18/2025
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ms.date: 07/02/2025
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ms.service: azure-ai-agent-service
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:::image type="content" source="../../media\tools\open-api-details.png" alt-text="A screenshot showing the openAPI tool details in the Azure AI Foundry portal." lightbox="../../media\tools\open-api-details.png":::
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1. Select **Next** and select your authentication method.
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1. If you choose `connection`, you need to select the custom connection you have created before.
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1. If you choose `managed identity`, you need to input the audience to get your token. An example of an audience would be `https://cognitiveservices.azure.com/` to connect to Azure AI Services. Make sure you have already set up authentication and role assignment (as described in the [section](./openapi-spec.md#authenticating-with-managed-identity-microsoft-entra-id) above).
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1. If you choose `connection`, you need to select the [custom connection](./openapi-spec.md#authenticating-with-api-key) with an API key.
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1. If you choose `managed identity`, you need to input the audience to get your token which is the authentication scope. Make sure you have already set up authentication and role assignment as described in the [OpenAPI tool overview](./openapi-spec.md#authenticating-with-managed-identity-microsoft-entra-id). An example of an audience might be `https://cognitiveservices.azure.com/` to connect to Azure AI Services, once proper setup has been performed.
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1. Copy and paste your OpenAPI specification in the text box.
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articles/ai-foundry/agents/how-to/tools/sharepoint-samples.md

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# How to use the SharePoint tool
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> [!NOTE]
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> This article describes the Microsoft SharePoint tool for Azure AI Foundry Agent Service. For information on using and deploying SharePoint sites, see the [SharePoint documentation](/sharepoint/).
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Use this article to find step-by-step instructions and code samples for using the SharePoint tool in Azure AI Foundry Agent Service.
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## Create an agent

articles/ai-foundry/agents/how-to/tools/sharepoint.md

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---
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# Use the Microsoft SharePoint tool (preview)
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> [!NOTE]
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> This article describes the Microsoft SharePoint tool for Azure AI Foundry Agent Service. For information on using and deploying SharePoint sites, see the [SharePoint documentation](/sharepoint/).
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Integrate your agents with the **Microsoft SharePoint** to chat with your private documents securely. You can connect to your SharePoint site, such as `contoso.sharepoint.com/sites/policies` to ground your Agents with that data. When a user sends a query, the agent will determine if SharePoint should be leveraged or not. If so, it will send a query using the SharePoint tool, which checks if the user has a Microsoft 365 Copilot license and use managed identity to retrieve relevant documents they have access to. The scope of retrieval includes all supported documents in this SharePoint site. Lastly, the agent will generate responses based on retrieved information. With identity passthrough (On-Behalf-Of) authorization, this integration simplifies access to enterprise data in SharePoint while maintaining robust security, ensuring proper access control and enterprise-grade protection.
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## How it works
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The SharePoint tool makes it possible by enabling seamless integrations between AI agents and business documents stored in SharePoint empowered by [Microsoft 365 Copilot API](/microsoft-365-copilot/extensibility/api-reference/retrieval-api-overview). To ground your SharePoint documents, you can simply enter the sites or folders to connect with, and SharePoint tool will leverage [built-in indexing capabilities](/microsoftsearch/semantic-index-for-copilot) to enhance search and retrieval experience, including intelligent indexing, query processing, and content chunking.
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The SharePoint tool makes it possible by enabling seamless integrations between AI agents and business documents stored in SharePoint empowered by [Microsoft 365 Copilot API](/microsoft-365-copilot/extensibility/api-reference/retrieval-api-overview). To ground your SharePoint documents, you can enter the sites or folders to connect with, and SharePoint tool will leverage [built-in indexing capabilities](/microsoftsearch/semantic-index-for-copilot) to enhance search and retrieval experience, including intelligent indexing, query processing, and content chunking.
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Instead of requiring developers to export SharePoint content, build a custom semantic index, manage governance controls, and configure refresh logic, this capability automates the entire retrieval pipeline. It dynamically indexes documents, breaks content into meaningful chunks, and applies advanced query processing to surface the most relevant information. By leveraging the same enterprise-grade retrieval stack that powers Microsoft 365 Copilot, it ensures AI agent responses are grounded in the most up-to-date and contextually relevant content.
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articles/ai-foundry/agents/quotas-limits.md

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articles/ai-foundry/foundry-local/concepts/foundry-local-architecture.md

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articles/ai-foundry/foundry-local/get-started.md

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articles/ai-foundry/foundry-local/how-to/how-to-chat-application-with-open-web-ui.md

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articles/ai-foundry/foundry-local/how-to/how-to-compile-hugging-face-models.md

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articles/ai-foundry/foundry-local/how-to/how-to-integrate-with-inference-sdks.md

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