update two xrefs (#46261)

Author: gewarren

docs/ai/tutorials/evaluate-safety.md

@@ -109,7 +109,7 @@ Complete the following steps to create an MSTest project.
    Response caching functionality is supported and works the same way regardless of whether the evaluators talk to an LLM or to the Azure AI Foundry Evaluation service. The response will be reused until the corresponding cache entry expires (in 14 days by default), or until any request parameter, such as the the LLM endpoint or the question being asked, is changed.
 
    > [!NOTE]
-   > This code example passes the LLM <xref:Microsoft.Extensions.AI.IChatClient> as `originalChatClient` to `ToChatConfiguration` <!--TODO add xref for this overload-->. The reason to include the LLM chat client here is to enable getting a chat response from the LLM, and notably, to enable response caching for it. (If you don't want to cache the LLM's response, you can create a separate, local <xref:Microsoft.Extensions.AI.IChatClient> to fetch the response from the LLM.) Instead of passing a <xref:Microsoft.Extensions.AI.IChatClient>, if you already have a <xref:Microsoft.Extensions.AI.Evaluation.ChatConfiguration> for an LLM from another reporting configuration, you can pass that instead, using the <xref:Microsoft.Extensions.AI.Evaluation.Safety.ContentSafetyServiceConfigurationExtensions.ToChatConfiguration(Microsoft.Extensions.AI.Evaluation.Safety.ContentSafetyServiceConfiguration,Microsoft.Extensions.AI.Evaluation.ChatConfiguration)> overload.
+   > This code example passes the LLM <xref:Microsoft.Extensions.AI.IChatClient> as `originalChatClient` to <xref:Microsoft.Extensions.AI.Evaluation.Safety.ContentSafetyServiceConfigurationExtensions.ToChatConfiguration(Microsoft.Extensions.AI.Evaluation.Safety.ContentSafetyServiceConfiguration,Microsoft.Extensions.AI.IChatClient)>. The reason to include the LLM chat client here is to enable getting a chat response from the LLM, and notably, to enable response caching for it. (If you don't want to cache the LLM's response, you can create a separate, local <xref:Microsoft.Extensions.AI.IChatClient> to fetch the response from the LLM.) Instead of passing a <xref:Microsoft.Extensions.AI.IChatClient>, if you already have a <xref:Microsoft.Extensions.AI.Evaluation.ChatConfiguration> for an LLM from another reporting configuration, you can pass that instead, using the <xref:Microsoft.Extensions.AI.Evaluation.Safety.ContentSafetyServiceConfigurationExtensions.ToChatConfiguration(Microsoft.Extensions.AI.Evaluation.Safety.ContentSafetyServiceConfiguration,Microsoft.Extensions.AI.Evaluation.ChatConfiguration)> overload.
    >
    > Similarly, if you configure both [LLM-based evaluators](../conceptual/evaluation-libraries.md#quality-evaluators) and [Azure AI Foundry Evaluation service&ndash;based evaluators](../conceptual/evaluation-libraries.md#safety-evaluators) in the reporting configuration, you also need to pass the LLM <xref:Microsoft.Extensions.AI.Evaluation.ChatConfiguration> to <xref:Microsoft.Extensions.AI.Evaluation.Safety.ContentSafetyServiceConfigurationExtensions.ToChatConfiguration(Microsoft.Extensions.AI.Evaluation.Safety.ContentSafetyServiceConfiguration,Microsoft.Extensions.AI.Evaluation.ChatConfiguration)>. Then it returns a <xref:Microsoft.Extensions.AI.Evaluation.ChatConfiguration> that can talk to both types of evaluators.
 

docs/fundamentals/syslib-diagnostics/syslib0057.md

@@ -19,7 +19,7 @@ While this method was easy to use, it created issues where user-supplied data wa
 
 Use a different API to load certificate content, depending on the intended content type.
 
-A new class called `X509CertificateLoader` <!--<xref:System.Security.Cryptography.X509Certificates.X509CertificateLoader>--> can be used to load X.509 or PKCS12 content:
+A new class called <xref:System.Security.Cryptography.X509Certificates.X509CertificateLoader>can be used to load X.509 or PKCS12 content:
 
 - If you're loading X.509 content, use `X509CertificateLoader.LoadCertificate` or `X509CertificateLoader.LoadCertificateFromFile`.
 - If you're loading PKCS12 content, use `X509CertificateLoader.LoadPkcs12`, `X509CertificateLoader.LoadPkcs12FromFile`, `X509CertificateLoader.LoadPkcs12Collection`, or `X509CertificateLoader.LoadPkcs12CollectionFromFile`.