From 1540a75a35b9212f6d13b1f180eb3c5b702e5ac6 Mon Sep 17 00:00:00 2001 From: Genevieve Warren <24882762+gewarren@users.noreply.github.com> Date: Tue, 16 Jun 2026 13:01:57 -0700 Subject: [PATCH] Remove links to ai-samples repo --- .../Microsoft.Extensions.AI.Evaluation.Console/README.md | 7 +++++-- .../Microsoft.Extensions.AI.Evaluation.NLP/README.md | 7 +++++-- .../Microsoft.Extensions.AI.Evaluation.Quality/README.md | 7 +++++-- .../README.md | 7 +++++-- .../CSharp/README.md | 7 +++++-- .../TypeScript/azure-devops-report/overview.md | 9 ++++++--- .../Microsoft.Extensions.AI.Evaluation.Safety/README.md | 7 +++++-- .../Microsoft.Extensions.AI.Evaluation/README.md | 9 ++++++--- 8 files changed, 42 insertions(+), 18 deletions(-) diff --git a/src/Libraries/Microsoft.Extensions.AI.Evaluation.Console/README.md b/src/Libraries/Microsoft.Extensions.AI.Evaluation.Console/README.md index dfc15311489..166841f72f3 100644 --- a/src/Libraries/Microsoft.Extensions.AI.Evaluation.Console/README.md +++ b/src/Libraries/Microsoft.Extensions.AI.Evaluation.Console/README.md @@ -43,10 +43,13 @@ You can optionally add the `Microsoft.Extensions.AI.Evaluation.Reporting.Azure` dotnet tool install Microsoft.Extensions.AI.Evaluation.Console --create-manifest-if-needed ``` -## Usage Examples +## Usage examples -For a comprehensive tour of all the functionality, concepts and APIs available in the `Microsoft.Extensions.AI.Evaluation` libraries, check out the [API Usage Examples](https://github.com/dotnet/ai-samples/blob/main/src/microsoft-extensions-ai-evaluation/api/) available in the [dotnet/ai-samples](https://github.com/dotnet/ai-samples) repo. These examples are structured as a collection of unit tests. Each unit test showcases a specific concept or API, and builds on the concepts and APIs showcased in previous unit tests. +For `Microsoft.Extensions.AI.Evaluation` library usage examples, see the following tutorials: +* [Quickstart: Evaluate response quality](https://learn.microsoft.com/dotnet/ai/evaluation/evaluate-ai-response) +* [Tutorial: Evaluate response quality with caching and reporting](https://learn.microsoft.com/dotnet/ai/evaluation/evaluate-with-reporting) +* [Tutorial: Evaluate response safety with caching and reporting](https://learn.microsoft.com/dotnet/ai/evaluation/evaluate-safety) ## Feedback & Contributing diff --git a/src/Libraries/Microsoft.Extensions.AI.Evaluation.NLP/README.md b/src/Libraries/Microsoft.Extensions.AI.Evaluation.NLP/README.md index dfc15311489..166841f72f3 100644 --- a/src/Libraries/Microsoft.Extensions.AI.Evaluation.NLP/README.md +++ b/src/Libraries/Microsoft.Extensions.AI.Evaluation.NLP/README.md @@ -43,10 +43,13 @@ You can optionally add the `Microsoft.Extensions.AI.Evaluation.Reporting.Azure` dotnet tool install Microsoft.Extensions.AI.Evaluation.Console --create-manifest-if-needed ``` -## Usage Examples +## Usage examples -For a comprehensive tour of all the functionality, concepts and APIs available in the `Microsoft.Extensions.AI.Evaluation` libraries, check out the [API Usage Examples](https://github.com/dotnet/ai-samples/blob/main/src/microsoft-extensions-ai-evaluation/api/) available in the [dotnet/ai-samples](https://github.com/dotnet/ai-samples) repo. These examples are structured as a collection of unit tests. Each unit test showcases a specific concept or API, and builds on the concepts and APIs showcased in previous unit tests. +For `Microsoft.Extensions.AI.Evaluation` library usage examples, see the following tutorials: +* [Quickstart: Evaluate response quality](https://learn.microsoft.com/dotnet/ai/evaluation/evaluate-ai-response) +* [Tutorial: Evaluate response quality with caching and reporting](https://learn.microsoft.com/dotnet/ai/evaluation/evaluate-with-reporting) +* [Tutorial: Evaluate response safety with caching and reporting](https://learn.microsoft.com/dotnet/ai/evaluation/evaluate-safety) ## Feedback & Contributing diff --git a/src/Libraries/Microsoft.Extensions.AI.Evaluation.Quality/README.md b/src/Libraries/Microsoft.Extensions.AI.Evaluation.Quality/README.md index dfc15311489..166841f72f3 100644 --- a/src/Libraries/Microsoft.Extensions.AI.Evaluation.Quality/README.md +++ b/src/Libraries/Microsoft.Extensions.AI.Evaluation.Quality/README.md @@ -43,10 +43,13 @@ You can optionally add the `Microsoft.Extensions.AI.Evaluation.Reporting.Azure` dotnet tool install Microsoft.Extensions.AI.Evaluation.Console --create-manifest-if-needed ``` -## Usage Examples +## Usage examples -For a comprehensive tour of all the functionality, concepts and APIs available in the `Microsoft.Extensions.AI.Evaluation` libraries, check out the [API Usage Examples](https://github.com/dotnet/ai-samples/blob/main/src/microsoft-extensions-ai-evaluation/api/) available in the [dotnet/ai-samples](https://github.com/dotnet/ai-samples) repo. These examples are structured as a collection of unit tests. Each unit test showcases a specific concept or API, and builds on the concepts and APIs showcased in previous unit tests. +For `Microsoft.Extensions.AI.Evaluation` library usage examples, see the following tutorials: +* [Quickstart: Evaluate response quality](https://learn.microsoft.com/dotnet/ai/evaluation/evaluate-ai-response) +* [Tutorial: Evaluate response quality with caching and reporting](https://learn.microsoft.com/dotnet/ai/evaluation/evaluate-with-reporting) +* [Tutorial: Evaluate response safety with caching and reporting](https://learn.microsoft.com/dotnet/ai/evaluation/evaluate-safety) ## Feedback & Contributing diff --git a/src/Libraries/Microsoft.Extensions.AI.Evaluation.Reporting.Azure/README.md b/src/Libraries/Microsoft.Extensions.AI.Evaluation.Reporting.Azure/README.md index dfc15311489..166841f72f3 100644 --- a/src/Libraries/Microsoft.Extensions.AI.Evaluation.Reporting.Azure/README.md +++ b/src/Libraries/Microsoft.Extensions.AI.Evaluation.Reporting.Azure/README.md @@ -43,10 +43,13 @@ You can optionally add the `Microsoft.Extensions.AI.Evaluation.Reporting.Azure` dotnet tool install Microsoft.Extensions.AI.Evaluation.Console --create-manifest-if-needed ``` -## Usage Examples +## Usage examples -For a comprehensive tour of all the functionality, concepts and APIs available in the `Microsoft.Extensions.AI.Evaluation` libraries, check out the [API Usage Examples](https://github.com/dotnet/ai-samples/blob/main/src/microsoft-extensions-ai-evaluation/api/) available in the [dotnet/ai-samples](https://github.com/dotnet/ai-samples) repo. These examples are structured as a collection of unit tests. Each unit test showcases a specific concept or API, and builds on the concepts and APIs showcased in previous unit tests. +For `Microsoft.Extensions.AI.Evaluation` library usage examples, see the following tutorials: +* [Quickstart: Evaluate response quality](https://learn.microsoft.com/dotnet/ai/evaluation/evaluate-ai-response) +* [Tutorial: Evaluate response quality with caching and reporting](https://learn.microsoft.com/dotnet/ai/evaluation/evaluate-with-reporting) +* [Tutorial: Evaluate response safety with caching and reporting](https://learn.microsoft.com/dotnet/ai/evaluation/evaluate-safety) ## Feedback & Contributing diff --git a/src/Libraries/Microsoft.Extensions.AI.Evaluation.Reporting/CSharp/README.md b/src/Libraries/Microsoft.Extensions.AI.Evaluation.Reporting/CSharp/README.md index dfc15311489..166841f72f3 100644 --- a/src/Libraries/Microsoft.Extensions.AI.Evaluation.Reporting/CSharp/README.md +++ b/src/Libraries/Microsoft.Extensions.AI.Evaluation.Reporting/CSharp/README.md @@ -43,10 +43,13 @@ You can optionally add the `Microsoft.Extensions.AI.Evaluation.Reporting.Azure` dotnet tool install Microsoft.Extensions.AI.Evaluation.Console --create-manifest-if-needed ``` -## Usage Examples +## Usage examples -For a comprehensive tour of all the functionality, concepts and APIs available in the `Microsoft.Extensions.AI.Evaluation` libraries, check out the [API Usage Examples](https://github.com/dotnet/ai-samples/blob/main/src/microsoft-extensions-ai-evaluation/api/) available in the [dotnet/ai-samples](https://github.com/dotnet/ai-samples) repo. These examples are structured as a collection of unit tests. Each unit test showcases a specific concept or API, and builds on the concepts and APIs showcased in previous unit tests. +For `Microsoft.Extensions.AI.Evaluation` library usage examples, see the following tutorials: +* [Quickstart: Evaluate response quality](https://learn.microsoft.com/dotnet/ai/evaluation/evaluate-ai-response) +* [Tutorial: Evaluate response quality with caching and reporting](https://learn.microsoft.com/dotnet/ai/evaluation/evaluate-with-reporting) +* [Tutorial: Evaluate response safety with caching and reporting](https://learn.microsoft.com/dotnet/ai/evaluation/evaluate-safety) ## Feedback & Contributing diff --git a/src/Libraries/Microsoft.Extensions.AI.Evaluation.Reporting/TypeScript/azure-devops-report/overview.md b/src/Libraries/Microsoft.Extensions.AI.Evaluation.Reporting/TypeScript/azure-devops-report/overview.md index 04c4d5a6c96..90ba8128fa2 100644 --- a/src/Libraries/Microsoft.Extensions.AI.Evaluation.Reporting/TypeScript/azure-devops-report/overview.md +++ b/src/Libraries/Microsoft.Extensions.AI.Evaluation.Reporting/TypeScript/azure-devops-report/overview.md @@ -12,7 +12,7 @@ This extension publishes a `PublishAIEvaluationReport` task that will publish th - task: PublishAIEvaluationReport@0 displayName: 'Publish AI Evaluation Data' inputs: - reportFile: '$(build-artifacts)\report.json' + reportFile: '$(build-artifacts)\report.json' ``` If your pipeline restricts uploading attachments from a task, you can disable the attachment upload feature and use a different method to upload the report data. You should still include `PublishAIEvaluationReport` task as it will trigger the display of the reporting tab. When using this method, the attachment must be uploaded to the pipeline with `type=ai-eval-report-json` and `name=ai-eval-report`. @@ -68,10 +68,13 @@ You can optionally add the `Microsoft.Extensions.AI.Evaluation.Reporting.Azure` dotnet tool install Microsoft.Extensions.AI.Evaluation.Console --create-manifest-if-needed ``` -## Usage Examples +## Usage examples -For a comprehensive tour of all the functionality, concepts and APIs available in the `Microsoft.Extensions.AI.Evaluation` libraries, check out the [API Usage Examples](https://github.com/dotnet/ai-samples/blob/main/src/microsoft-extensions-ai-evaluation/api/) available in the [dotnet/ai-samples](https://github.com/dotnet/ai-samples) repo. These examples are structured as a collection of unit tests. Each unit test showcases a specific concept or API, and builds on the concepts and APIs showcased in previous unit tests. +For `Microsoft.Extensions.AI.Evaluation` library usage examples, see the following tutorials: +* [Quickstart: Evaluate response quality](https://learn.microsoft.com/dotnet/ai/evaluation/evaluate-ai-response) +* [Tutorial: Evaluate response quality with caching and reporting](https://learn.microsoft.com/dotnet/ai/evaluation/evaluate-with-reporting) +* [Tutorial: Evaluate response safety with caching and reporting](https://learn.microsoft.com/dotnet/ai/evaluation/evaluate-safety) ## Feedback & Contributing diff --git a/src/Libraries/Microsoft.Extensions.AI.Evaluation.Safety/README.md b/src/Libraries/Microsoft.Extensions.AI.Evaluation.Safety/README.md index 9bf406ba052..1e1f56b7981 100644 --- a/src/Libraries/Microsoft.Extensions.AI.Evaluation.Safety/README.md +++ b/src/Libraries/Microsoft.Extensions.AI.Evaluation.Safety/README.md @@ -43,10 +43,13 @@ You can optionally add the `Microsoft.Extensions.AI.Evaluation.Reporting.Azure` dotnet tool install Microsoft.Extensions.AI.Evaluation.Console --create-manifest-if-needed ``` -## Usage Examples +## Usage examples -For a comprehensive tour of all the functionality, concepts and APIs available in the `Microsoft.Extensions.AI.Evaluation` libraries, check out the [API Usage Examples](https://github.com/dotnet/ai-samples/blob/main/src/microsoft-extensions-ai-evaluation/api/) available in the [dotnet/ai-samples](https://github.com/dotnet/ai-samples) repo. These examples are structured as a collection of unit tests. Each unit test showcases a specific concept or API, and builds on the concepts and APIs showcased in previous unit tests. +For `Microsoft.Extensions.AI.Evaluation` library usage examples, see the following tutorials: +* [Quickstart: Evaluate response quality](https://learn.microsoft.com/dotnet/ai/evaluation/evaluate-ai-response) +* [Tutorial: Evaluate response quality with caching and reporting](https://learn.microsoft.com/dotnet/ai/evaluation/evaluate-with-reporting) +* [Tutorial: Evaluate response safety with caching and reporting](https://learn.microsoft.com/dotnet/ai/evaluation/evaluate-safety) ## Feedback & Contributing diff --git a/src/Libraries/Microsoft.Extensions.AI.Evaluation/README.md b/src/Libraries/Microsoft.Extensions.AI.Evaluation/README.md index dfc15311489..a2721d539fa 100644 --- a/src/Libraries/Microsoft.Extensions.AI.Evaluation/README.md +++ b/src/Libraries/Microsoft.Extensions.AI.Evaluation/README.md @@ -43,11 +43,14 @@ You can optionally add the `Microsoft.Extensions.AI.Evaluation.Reporting.Azure` dotnet tool install Microsoft.Extensions.AI.Evaluation.Console --create-manifest-if-needed ``` -## Usage Examples +## Usage examples -For a comprehensive tour of all the functionality, concepts and APIs available in the `Microsoft.Extensions.AI.Evaluation` libraries, check out the [API Usage Examples](https://github.com/dotnet/ai-samples/blob/main/src/microsoft-extensions-ai-evaluation/api/) available in the [dotnet/ai-samples](https://github.com/dotnet/ai-samples) repo. These examples are structured as a collection of unit tests. Each unit test showcases a specific concept or API, and builds on the concepts and APIs showcased in previous unit tests. +For `Microsoft.Extensions.AI.Evaluation` library usage examples, see the following tutorials: +* [Quickstart: Evaluate response quality](https://learn.microsoft.com/dotnet/ai/evaluation/evaluate-ai-response) +* [Tutorial: Evaluate response quality with caching and reporting](https://learn.microsoft.com/dotnet/ai/evaluation/evaluate-with-reporting) +* [Tutorial: Evaluate response safety with caching and reporting](https://learn.microsoft.com/dotnet/ai/evaluation/evaluate-safety) -## Feedback & Contributing +## Feedback & contributing We welcome feedback and contributions in [our GitHub repo](https://github.com/dotnet/extensions).