Merge branch 'main' into mstest-sdk-profile

Author: Evangelink

.github/dependabot.yml

@@ -778,6 +778,50 @@ updates:
       dotnet:
         patterns:
           - "*" # Prefer a single PR per project update.
+  - package-ecosystem: "nuget"
+    directory: "/docs/ai/quickstarts/snippets/build-chat-app/azure-openai" #ChatAppAI.csproj
+    schedule:
+      interval: "weekly"
+      day: "wednesday"
+    open-pull-requests-limit: 5
+    groups:
+      # Group .NET updates together for projects.
+      dotnet:
+        patterns:
+          - "*" # Prefer a single PR per project update.
+  - package-ecosystem: "nuget"
+    directory: "/docs/ai/quickstarts/snippets/build-chat-app/openai" #ExtensionsOpenAI.csproj
+    schedule:
+      interval: "weekly"
+      day: "wednesday"
+    open-pull-requests-limit: 5
+    groups:
+      # Group .NET updates together for projects.
+      dotnet:
+        patterns:
+          - "*" # Prefer a single PR per project update.
+  - package-ecosystem: "nuget"
+    directory: "/docs/ai/quickstarts/snippets/function-calling/azure-openai" #FunctionCallingAI.csproj
+    schedule:
+      interval: "weekly"
+      day: "wednesday"
+    open-pull-requests-limit: 5
+    groups:
+      # Group .NET updates together for projects.
+      dotnet:
+        patterns:
+          - "*" # Prefer a single PR per project update.
+  - package-ecosystem: "nuget"
+    directory: "/docs/ai/quickstarts/snippets/function-calling/openai" #FunctionCallingAI.csproj
+    schedule:
+      interval: "weekly"
+      day: "wednesday"
+    open-pull-requests-limit: 5
+    groups:
+      # Group .NET updates together for projects.
+      dotnet:
+        patterns:
+          - "*" # Prefer a single PR per project update.
   - package-ecosystem: "nuget"
     directory: "/docs/ai/quickstarts/snippets/local-ai" #ollama.csproj
     schedule:
@@ -789,6 +833,28 @@ updates:
       dotnet:
         patterns:
           - "*" # Prefer a single PR per project update.
+  - package-ecosystem: "nuget"
+    directory: "/docs/ai/quickstarts/snippets/prompt-completion/azure-openai" #ExtensionsAzureOpenAI.csproj
+    schedule:
+      interval: "weekly"
+      day: "wednesday"
+    open-pull-requests-limit: 5
+    groups:
+      # Group .NET updates together for projects.
+      dotnet:
+        patterns:
+          - "*" # Prefer a single PR per project update.
+  - package-ecosystem: "nuget"
+    directory: "/docs/ai/quickstarts/snippets/prompt-completion/openai" #ExtensionsOpenAI.csproj
+    schedule:
+      interval: "weekly"
+      day: "wednesday"
+    open-pull-requests-limit: 5
+    groups:
+      # Group .NET updates together for projects.
+      dotnet:
+        patterns:
+          - "*" # Prefer a single PR per project update.
   - package-ecosystem: "nuget"
     directory: "/docs/ai/tutorials/snippets/llm-eval" #llm-eval.csproj
     schedule:
@@ -822,6 +888,17 @@ updates:
       dotnet:
         patterns:
           - "*" # Prefer a single PR per project update.
+  - package-ecosystem: "nuget"
+    directory: "/docs/azure/sdk/snippets/configure-proxy" #ProxyServerConfiguration.csproj
+    schedule:
+      interval: "weekly"
+      day: "wednesday"
+    open-pull-requests-limit: 5
+    groups:
+      # Group .NET updates together for projects.
+      dotnet:
+        patterns:
+          - "*" # Prefer a single PR per project update.
   - package-ecosystem: "nuget"
     directory: "/docs/azure/sdk/snippets/logging" #LoggingSampleApp.csproj
     schedule:
@@ -2120,80 +2197,3 @@ updates:
       dotnet:
         patterns:
           - "*" # Prefer a single PR per project update.
-  - package-ecosystem: "nuget"
-    directory: "/docs/machine-learning/tutorials/snippets/iris-clustering/csharp" #IrisFlowerClustering.csproj
-    schedule:
-      interval: "weekly"
-      day: "wednesday"
-    open-pull-requests-limit: 5
-    groups:
-      # Group .NET updates together for projects.
-      dotnet:
-        patterns:
-          - "*" # Prefer a single PR per project update.
-  - package-ecosystem: "nuget"
-    directory: "/docs/machine-learning/tutorials/snippets/movie-recommendation/csharp" #MovieRecommendation.csproj
-    schedule:
-      interval: "weekly"
-      day: "wednesday"
-    open-pull-requests-limit: 5
-    groups:
-      # Group .NET updates together for projects.
-      dotnet:
-        patterns:
-          - "*" # Prefer a single PR per project update.
-  - package-ecosystem: "nuget"
-    directory: "/docs/machine-learning/tutorials/snippets/phone-calls-anomaly-detection/csharp" #PhoneCallsAnomalyDetection.csproj
-    schedule:
-      interval: "weekly"
-      day: "wednesday"
-    open-pull-requests-limit: 5
-    groups:
-      # Group .NET updates together for projects.
-      dotnet:
-        patterns:
-          - "*" # Prefer a single PR per project update.
-  - package-ecosystem: "nuget"
-    directory: "/docs/machine-learning/tutorials/snippets/predict-prices/csharp" #TaxiFarePrediction.csproj
-    schedule:
-      interval: "weekly"
-      day: "wednesday"
-    open-pull-requests-limit: 5
-    groups:
-      # Group .NET updates together for projects.
-      dotnet:
-        patterns:
-          - "*" # Prefer a single PR per project update.
-  - package-ecosystem: "nuget"
-    directory: "/docs/machine-learning/tutorials/snippets/sales-anomaly-detection/csharp" #ProductSalesAnomalyDetection.csproj
-    schedule:
-      interval: "weekly"
-      day: "wednesday"
-    open-pull-requests-limit: 5
-    groups:
-      # Group .NET updates together for projects.
-      dotnet:
-        patterns:
-          - "*" # Prefer a single PR per project update.
-  - package-ecosystem: "nuget"
-    directory: "/docs/machine-learning/tutorials/snippets/sentiment-analysis/csharp" #SentimentAnalysis.csproj
-    schedule:
-      interval: "weekly"
-      day: "wednesday"
-    open-pull-requests-limit: 5
-    groups:
-      # Group .NET updates together for projects.
-      dotnet:
-        patterns:
-          - "*" # Prefer a single PR per project update.
-  - package-ecosystem: "nuget"
-    directory: "/docs/machine-learning/tutorials/snippets/text-classification-tf/csharp" #TextClassificationTF.csproj
-    schedule:
-      interval: "weekly"
-      day: "wednesday"
-    open-pull-requests-limit: 5
-    groups:
-      # Group .NET updates together for projects.
-      dotnet:
-        patterns:
-          - "*" # Prefer a single PR per project update.

.github/policies/close-issues.yml

@@ -19,3 +19,12 @@ configuration:
               - addReply:
                   reply: This issue has been automatically closed due to no response from the original author. Feel free to reopen it if you have more information that can help us investigate the issue further.
               - closeIssue
+
+        eventResponderTasks:
+            - description: Close issues labeled 'code-of-conduct'
+              if:
+                - payloadType: Issues
+                - hasLabel:
+                    label: code-of-conduct
+              then:
+                - closeIssue

.github/workflows/dependency-review.yml

@@ -24,4 +24,4 @@ jobs:
       - name: 'Checkout Repository'
         uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
       - name: 'Dependency Review'
-        uses: actions/dependency-review-action@4081bf99e2866ebe428fc0477b69eb4fcda7220a # v4.4.0
+        uses: actions/dependency-review-action@3b139cfc5fae8b618d3eae3675e383bb1769c019 # v4.5.0

.github/workflows/scorecards.yml

@@ -71,6 +71,6 @@ jobs:
 
       # Upload the results to GitHub's code scanning dashboard.
       - name: "Upload to code-scanning"
-        uses: github/codeql-action/upload-sarif@ea9e4e37992a54ee68a9622e985e60c8e8f12d9f # v3.27.4
+        uses: github/codeql-action/upload-sarif@f09c1c0a94de965c15400f5634aa42fac8fb8f88 # v3.27.5
         with:
           sarif_file: results.sarif

.openpublishing.redirection.fsharp.json

@@ -151,7 +151,7 @@
         },
         {
             "source_path_from_root": "/docs/fsharp/whats-new/index.md",
-            "redirect_url": "/dotnet/fsharp/whats-new/fsharp-6",
+            "redirect_url": "/dotnet/fsharp/whats-new/fsharp-9",
             "ms.custom": "updateeachrelease"
         },
         {

api/index.md

@@ -3,7 +3,7 @@ description: Explore Microsoft's comprehensive .NET API browser. Your ultimate r
 layout: ApiBrowserPage
 hide_bc: true
 title: .NET API browser
-quickFilterColumn1: net-9.0,netframework-4.8,netstandard-2.1
+quickFilterColumn1: net-9.0,netframework-4.8.1,netstandard-2.1
 quickFilterColumn2: aspnetcore-9.0,efcore-8.0,net-maui-9.0
 quickFilterColumn3: azure-dotnet,ml-dotnet,spark-dotnet
 ms.topic: landing-page

docs/ai/conceptual/agents.md

@@ -3,7 +3,7 @@ title: "Agents and Copilots Bring Automation and Interactive Assistance to Your
 description: "Learn how agents and copilots intelligently extend the functionality of LLMs to automatically meet user goals in .NET."
 author: catbutler
 ms.topic: concept-article #Don't change.
-ms.date: 04/15/2024
+ms.date: 11/24/2024
 
 #customer intent: As a .NET developer, I want to understand how agents and copilots extend the functionality of LLMs, so that my apps can handle any type of content and automatically meet user goals.
 

docs/ai/conceptual/chain-of-thought-prompting.md

@@ -3,19 +3,17 @@ title: "Chain of Thought Prompting - .NET"
 description: "Learn how chain of thought prompting can simplify prompt engineering."
 author: catbutler
 ms.topic: concept-article #Don't change.
-ms.date: 04/10/2024
+ms.date: 11/24/2024
 
 #customer intent: As a .NET developer, I want to understand what chain-of-thought prompting is and how it can help me save time and get better completions out of prompt engineering.
 
 ---
 
 # Chain of thought prompting
 
-This article explains the use of chain of thought prompting in .NET.
+GPT model performance and response quality benefits from *prompt engineering*, which is the practice of providing instructions and examples to a model to prime or refine its output. As they process instructions, models make more reasoning errors when they try to answer right away rather than taking time to work out an answer. You can help the model reason its way toward correct answers more reliably by asking for the model to include its chain of thought—that is, the steps it took to follow an instruction, along with the results of each step.
 
-GPT model performance benefits from *prompt engineering*, which is the practice of providing instructions and examples to a model to prime or refine its output. As they process instructions, models make more reasoning errors when they try to answer right away rather than taking time to work out an answer. You can help the model reason its way toward correct answers more reliably by asking for the model to include its chain of thought—that is, the steps it took to follow an instruction, along with the results of each step.
-
-*Chain of thought prompting* is the practice of prompting a GPT model to perform a task step-by-step and to present each step and its result in order in the output. This simplifies prompt engineering by offloading some execution planning to the model, and makes it easier to connect any problem to a specific step so you know where to focus further efforts.
+*Chain of thought prompting* is the practice of prompting a model to perform a task step-by-step and to present each step and its result in order in the output. This simplifies prompt engineering by offloading some execution planning to the model, and makes it easier to connect any problem to a specific step so you know where to focus further efforts.
 
 It's generally simpler to just instruct the model to include its chain of thought, but you can use examples to show the model how to break down tasks. The following sections show both ways.
 
@@ -24,7 +22,8 @@ It's generally simpler to just instruct the model to include its chain of though
 To use an instruction for chain of thought prompting, include a directive that tells the model to perform the task step-by-step and to output the result of each step.
 
 ```csharp
-prompt= "Instructions: Compare the pros and cons of EVs and petroleum-fueled vehicles. Break the task into steps, and output the result of each step as you perform it."; 
+prompt= """Instructions: Compare the pros and cons of EVs and petroleum-fueled vehicles.
+Break the task into steps, and output the result of each step as you perform it."""; 
 ```
 
 ## Use chain of thought prompting in examples

docs/ai/conceptual/how-genai-and-llms-work.md

@@ -3,7 +3,7 @@ title: "How Generative AI and LLMs work"
 description: "Understand how Generative AI and large language models (LLMs) work and how they might be useful in your .NET projects."
 author: haywoodsloan
 ms.topic: concept-article
-ms.date: 04/04/2024
+ms.date: 11/24/2024
 
 #customer intent: As a .NET developer, I want to understand how Generative AI and large language models (LLMs) work and how they may be useful in my .NET projects.
 

docs/ai/conceptual/rag.md

@@ -3,7 +3,7 @@ title: "Integrate Your Data into AI Apps with Retrieval-Augmented Generation"
 description: "Learn how retrieval-augmented generation lets you use your data with LLMs to generate better completions in .NET."
 author: catbutler
 ms.topic: concept-article #Don't change.
-ms.date: 04/15/2024
+ms.date: 11/24/2024
 
 #customer intent: As a .NET developer, I want to understand how retrieval-augmented generation works in .NET so that LLMs can use my data sources to provide more valuable completions.