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.Net: Fixed links (#11068)

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### Motivation and Context

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This PR fixes links that were found unreachable by `linkspector`:

https://github.com/microsoft/semantic-kernel/actions/runs/13954045797/job/39063140670?pr=11055

### Contribution Checklist

<!-- Before submitting this PR, please make sure: -->

- [x] The code builds clean without any errors or warnings
- [x] The PR follows the [SK Contribution
Guidelines](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md)
and the [pre-submission formatting
script](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md#development-scripts)
raises no violations
- [x] All unit tests pass, and I have added new tests where possible
- [x] I didn't break anyone 😄
This commit is contained in:
Dmytro Struk
2025-03-19 14:20:52 -07:00
committed by GitHub
parent ba81b70adb
commit f85c21787f
10 changed files with 26 additions and 32 deletions
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.github/.linkspector.yml
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@@ -7,10 +7,14 @@ ignorePatterns:
- pattern: "./issues"
- pattern: "./discussions"
- pattern: "./pulls"
- pattern: "^http://localhost"
- pattern: "^https://localhost"
- pattern: "^https://platform.openai.com"
- pattern: "^https://outlook.office.com/bookings"
- pattern: "https:\/\/platform.openai.com"
- pattern: "https:\/\/outlook.office.com/bookings"
excludedDirs:
# Folders which include links to localhost, since it's not ignored with regular expressions
- ./python/samples/demos/telemetry
- ./python/samples/demos/process_with_dapr
- ./dotnet/samples/Demos/ProcessWithDapr
- ./dotnet/samples/Demos/CopilotAgentPlugins
baseUrl: https://github.com/microsoft/semantic-kernel/
aliveStatusCodes:
- 200
README.md
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@@ -5,7 +5,7 @@
- Python <br/>
[![Python package](https://img.shields.io/pypi/v/semantic-kernel)](https://pypi.org/project/semantic-kernel/)
- .NET <br/>
[![Nuget package](https://img.shields.io/nuget/vpre/Microsoft.SemanticKernel)](https://www.nuget.org/packages/Microsoft.SemanticKernel/)[![dotnet Docker](https://github.com/microsoft/semantic-kernel/actions/workflows/dotnet-ci-docker.yml/badge.svg?branch=main)](https://github.com/microsoft/semantic-kernel/actions/workflows/dotnet-ci-docker.yml)[![dotnet Windows](https://github.com/microsoft/semantic-kernel/actions/workflows/dotnet-ci-windows.yml/badge.svg?branch=main)](https://github.com/microsoft/semantic-kernel/actions/workflows/dotnet-ci-windows.yml)
[![Nuget package](https://img.shields.io/nuget/vpre/Microsoft.SemanticKernel)](https://www.nuget.org/packages/Microsoft.SemanticKernel/)
## Overview
docs/PLUGINS.md
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@@ -1,5 +1,5 @@
# What are plugins?
This document has been moved to the Semantic Kernel Documentation site. You can find it by navigating to the [Using AI plugins in Semantic Kernel](https://learn.microsoft.com/en-us/semantic-kernel/ai-orchestration/plugins) page.
This document has been moved to the Semantic Kernel Documentation site. You can find it by navigating to the [What is a Plugin?](https://learn.microsoft.com/en-us/semantic-kernel/concepts/plugins) page.
To make an update on the page, file a PR on the [docs repo.](https://github.com/MicrosoftDocs/semantic-kernel-docs/blob/main/semantic-kernel/ai-orchestration/plugins.md)
To make an update on the page, file a PR on the [docs repo.](https://github.com/MicrosoftDocs/semantic-kernel-docs/blob/main/semantic-kernel/concepts/plugins/index.md)
docs/PROMPT_TEMPLATE_LANGUAGE.md
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@@ -1,5 +1,5 @@
# SK Prompt Template Syntax
This document has been moved to the Semantic Kernel Documentation site. You can find it by navigating to the [Prompt template syntax](https://learn.microsoft.com/en-us/semantic-kernel/prompt-engineering/prompt-template-syntax) page.
This document has been moved to the Semantic Kernel Documentation site. You can find it by navigating to the [What are prompts?](https://learn.microsoft.com/en-us/semantic-kernel/concepts/prompts) page.
To make an update on the page, file a PR on the [docs repo.](https://github.com/MicrosoftDocs/semantic-kernel-docs/blob/main/semantic-kernel/prompt-engineering/prompt-template-syntax.md)
To make an update on the page, file a PR on the [docs repo.](https://github.com/MicrosoftDocs/semantic-kernel-docs/blob/main/semantic-kernel/concepts/prompts/index.md)
docs/decisions/0008-support-generic-llm-request-settings.md
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@@ -12,7 +12,7 @@ informed:
## Context and Problem Statement
The Semantic Kernel abstractions package includes a number of classes ([CompleteRequestSettings](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/src/SemanticKernel.Abstractions/AI/TextCompletion/CompleteRequestSettings.cs), [ChatRequestSettings](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/src/SemanticKernel.Abstractions/AI/ChatCompletion/ChatRequestSettings.cs) [PromptTemplateConfig.CompletionConfig](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/src/SemanticKernel.Abstractions/SemanticFunctions/PromptTemplateConfig.cs#L18C1-L82C6)) which are used to support:
The Semantic Kernel abstractions package includes a number of classes (`CompleteRequestSettings`, `ChatRequestSettings`, `PromptTemplateConfig.CompletionConfig`) which are used to support:
1. Passing LLM request settings when invoking an AI service
2. Deserialization of LLM requesting settings when loading the `config.json` associated with a Semantic Function
dotnet/samples/Concepts/README.md
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@@ -21,17 +21,8 @@ dotnet test -l "console;verbosity=detailed" --filter "FullyQualifiedName=ChatCom
### Agents - Different ways of using [`Agents`](./Agents/README.md)
- [ComplexChat_NestedShopper](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/Concepts/Agents/ComplexChat_NestedShopper.cs)
- [Legacy_AgentAuthoring](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/Concepts/Agents/Legacy_AgentAuthoring.cs)
- [Legacy_AgentCharts](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/Concepts/Agents/Legacy_AgentCharts.cs)
- [Legacy_AgentCollaboration](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/Concepts/Agents/Legacy_AgentCollaboration.cs)
- [Legacy_AgentDelegation](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/Concepts/Agents/Legacy_AgentDelegation.cs)
- [Legacy_AgentTools](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/Concepts/Agents/Legacy_AgentTools.cs)
- [Legacy_Agents](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/Concepts/Agents/Legacy_Agents.cs)
- [Legacy_ChatCompletionAgent](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/Concepts/Agents/Legacy_ChatCompletionAgent.cs)
- [MixedChat_Agents](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/Concepts/Agents/MixedChat_Agents.cs)
- [OpenAIAssistant_ChartMaker](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/Concepts/Agents/OpenAIAssistant_ChartMaker.cs)
- [OpenAIAssistant_CodeInterpreter](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/Concepts/Agents/OpenAIAssistant_CodeInterpreter.cs)
- [OpenAIAssistant_Retrieval](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/Concepts/Agents/OpenAIAssistant_Retrieval.cs)
### AudioToText - Different ways of using [`AudioToText`](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/src/SemanticKernel.Abstractions/AI/AudioToText/IAudioToTextService.cs) services to extract text from audio
@@ -78,7 +69,7 @@ dotnet test -l "console;verbosity=detailed" --filter "FullyQualifiedName=ChatCom
- [MistralAI_ChatPrompt](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/Concepts/ChatCompletion/MistralAI_ChatPrompt.cs)
- [MistralAI_FunctionCalling](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/Concepts/ChatCompletion/MistralAI_FunctionCalling.cs)
- [MistralAI_StreamingFunctionCalling](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/Concepts/ChatCompletion/MistralAI_StreamingFunctionCalling.cs)
- [MultipleProviders_ChatHistoryReducer](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/Concepts/ChatCompletion/MuiltipleProviders_ChatHistoryReducer.cs)
- [MultipleProviders_ChatHistoryReducer](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/Concepts/ChatCompletion/MultipleProviders_ChatHistoryReducer.cs)
- [Ollama_ChatCompletion](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/Concepts/ChatCompletion/Ollama_ChatCompletion.cs)
- [Ollama_ChatCompletionStreaming](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/Concepts/ChatCompletion/Ollama_ChatCompletionStreaming.cs)
- [Onnx_ChatCompletion](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/Concepts/ChatCompletion/Onnx_ChatCompletion.cs)
@@ -106,9 +97,8 @@ dotnet test -l "console;verbosity=detailed" --filter "FullyQualifiedName=ChatCom
- [AutoFunctionInvocationFiltering](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/Concepts/Filtering/AutoFunctionInvocationFiltering.cs)
- [FunctionInvocationFiltering](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/Concepts/Filtering/FunctionInvocationFiltering.cs)
- [Legacy_KernelHooks](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/Concepts/Filtering/Legacy_KernelHooks.cs)
- [MaxTokensWithFilters](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/Concepts/Filtering/MaxTokensWithFilters.cs)
- [PIIDetectionWithFilters](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/Concepts/Filtering/PIIDetectionWithFilters.cs)
- [PIIDetection](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/Concepts/Filtering/PIIDetection.cs)
- [PromptRenderFiltering](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/Concepts/Filtering/PromptRenderFiltering.cs)
- [RetryWithFilters](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/Concepts/Filtering/RetryWithFilters.cs)
- [TelemetryWithFilters](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/Concepts/Filtering/TelemetryWithFilters.cs)
dotnet/samples/Demos/AIModelRouter/README.md
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@@ -7,7 +7,7 @@ This sample demonstrates how to implement an AI Model Router using Semantic Kern
## Semantic Kernel Features Used
- [Chat Completion Service](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/src/SemanticKernel.Abstractions/AI/ChatCompletion/IChatCompletionService.cs) - Using the Chat Completion Service [OpenAI Connector implementation](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/src/Connectors/Connectors.OpenAI/ChatCompletion/OpenAIChatCompletionService.cs) to generate responses from the LLM.
- [Chat Completion Service](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/src/SemanticKernel.Abstractions/AI/ChatCompletion/IChatCompletionService.cs) - Using the Chat Completion Service [OpenAI Connector implementation](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/src/Connectors/Connectors.OpenAI/Services/OpenAIChatCompletionService.cs) to generate responses from the LLM.
- [Filters](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/src/SemanticKernel.Abstractions/AI/ChatCompletion/IChatCompletionService.cs), using to capture selected service and log in the console.
## Prerequisites
dotnet/samples/Demos/BookingRestaurant/README.md
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@@ -5,9 +5,9 @@ This sample provides a practical demonstration of how to leverage features from
## Semantic Kernel Features Used
- [Plugin](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/src/SemanticKernel.Abstractions/Functions/KernelPlugin.cs) - Creating a Plugin from a native C# Booking class to be used by the Kernel to interact with Bookings API.
- [Chat Completion Service](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/src/SemanticKernel.Abstractions/AI/ChatCompletion/IChatCompletionService.cs) - Using the Chat Completion Service [OpenAI Connector implementation](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/src/Connectors/Connectors.OpenAI/ChatCompletion/OpenAIChatCompletionService.cs) to generate responses from the LLM.
- [Chat Completion Service](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/src/SemanticKernel.Abstractions/AI/ChatCompletion/IChatCompletionService.cs) - Using the Chat Completion Service [OpenAI Connector implementation](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/src/Connectors/Connectors.OpenAI/Services/OpenAIChatCompletionService.cs) to generate responses from the LLM.
- [Chat History](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/src/SemanticKernel.Abstractions/AI/ChatCompletion/ChatHistory.cs) Using the Chat History abstraction to create, update and retrieve chat history from Chat Completion Models.
- [Auto Function Calling](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/Concepts/AutoFunctionCalling/OpenAI_FunctionCalling.cs) Enables the LLM to have knowledge of current importedUsing the Function Calling feature automatically call the Booking Plugin from the LLM.
- [Auto Function Calling](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/Concepts/ChatCompletion/OpenAI_FunctionCalling.cs) Enables the LLM to have knowledge of current importedUsing the Function Calling feature automatically call the Booking Plugin from the LLM.
## Prerequisites
dotnet/samples/Demos/TimePlugin/README.md
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@@ -8,9 +8,9 @@ Here we have a simple Time Plugin created in C# that can be called from the AI M
## Semantic Kernel Features Used
- [Plugin](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/src/SemanticKernel.Abstractions/Functions/KernelPlugin.cs) - Creating a Plugin from a native C# Booking class to be used by the Kernel to interact with Bookings API.
- [Chat Completion Service](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/src/SemanticKernel.Abstractions/AI/ChatCompletion/IChatCompletionService.cs) - Using the Chat Completion Service [OpenAI Connector implementation](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/src/Connectors/Connectors.OpenAI/ChatCompletion/OpenAIChatCompletionService.cs) to generate responses from the LLM.
- [Chat Completion Service](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/src/SemanticKernel.Abstractions/AI/ChatCompletion/IChatCompletionService.cs) - Using the Chat Completion Service [OpenAI Connector implementation](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/src/Connectors/Connectors.OpenAI/Services/OpenAIChatCompletionService.cs) to generate responses from the LLM.
- [Chat History](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/src/SemanticKernel.Abstractions/AI/ChatCompletion/ChatHistory.cs) Using the Chat History abstraction to create, update and retrieve chat history from Chat Completion Models.
- [Auto Function Calling](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/Concepts/AutoFunctionCalling/OpenAI_FunctionCalling.cs) Enables the LLM to have knowledge of current importedUsing the Function Calling feature automatically call the Booking Plugin from the LLM.
- [Auto Function Calling](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/Concepts/ChatCompletion/OpenAI_FunctionCalling.cs) Enables the LLM to have knowledge of current importedUsing the Function Calling feature automatically call the Booking Plugin from the LLM.
## Prerequisites
dotnet/samples/GettingStartedWithAgents/README.md
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@@ -37,7 +37,7 @@ Example|Description
[Step01_Assistant](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/GettingStartedWithAgents/OpenAIAssistant/Step01_Assistant.cs)|How to create an Open AI Assistant agent.
[Step02_Assistant_Plugins](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/GettingStartedWithAgents/OpenAIAssistant/Step02_Assistant_Plugins.cs)|How to create an Open AI Assistant agent.
[Step03_Assistant_Vision](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/GettingStartedWithAgents/OpenAIAssistant/Step03_Assistant_Vision.cs)|How to provide an image as input to an Open AI Assistant agent.
[Step04_AssistantTool_CodeInterpreter_](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/GettingStartedWithAgents/OpenAIAssistant/Step04_AssistantTool_CodeInterpreter_.cs)|How to use the code-interpreter tool for an Open AI Assistant agent.
[Step04_AssistantTool_CodeInterpreter_](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/GettingStartedWithAgents/OpenAIAssistant/Step04_AssistantTool_CodeInterpreter.cs)|How to use the code-interpreter tool for an Open AI Assistant agent.
[Step05_AssistantTool_FileSearch](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/GettingStartedWithAgents/OpenAIAssistant/Step05_AssistantTool_FileSearch.cs)|How to use the file-search tool for an Open AI Assistant agent.
### Azure AI Agent
@@ -46,10 +46,10 @@ Example|Description
---|---
[Step01_AzureAIAgent](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/GettingStartedWithAgents/AzureAIAgent/Step01_AzureAIAgent.cs)|How to create an Azure AI agent.
[Step02_AzureAIAgent_Plugins](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/GettingStartedWithAgents/AzureAIAgent/Step02_AzureAIAgent_Plugins.cs)|How to create an Azure AI agent.
[Step03_AzureAIAgent_Chat](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/GettingStartedWithAgents/AzureAIAgent/Step02_AzureAIAgent_Chat.cs)|How create a conversation with Azure AI agents.
[Step04_AzureAIAgent_CodeInterpreter](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/GettingStartedWithAgents/AzureAIAgent/Step03_AzureAIAgent_CodeInterpreter.cs)|How to use the code-interpreter tool for an Azure AI agent.
[Step05_AzureAIAgent_FileSearch](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/GettingStartedWithAgents/AzureAIAgent/Step04_AzureAIAgent_FileSearch.cs)|How to use the file-search tool for an Azure AI agent.
[Step06_AzureAIAgent_OpenAPI](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/GettingStartedWithAgents/AzureAIAgent/Step05_AzureAIAgent_OpenAPI.cs)|How to use the Open API tool for an Azure AI agent.
[Step03_AzureAIAgent_Chat](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/GettingStartedWithAgents/AzureAIAgent/Step03_AzureAIAgent_Chat.cs)|How create a conversation with Azure AI agents.
[Step04_AzureAIAgent_CodeInterpreter](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/GettingStartedWithAgents/AzureAIAgent/Step04_AzureAIAgent_CodeInterpreter.cs)|How to use the code-interpreter tool for an Azure AI agent.
[Step05_AzureAIAgent_FileSearch](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/GettingStartedWithAgents/AzureAIAgent/Step05_AzureAIAgent_FileSearch.cs)|How to use the file-search tool for an Azure AI agent.
[Step06_AzureAIAgent_OpenAPI](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/GettingStartedWithAgents/AzureAIAgent/Step06_AzureAIAgent_OpenAPI.cs)|How to use the Open API tool for an Azure AI agent.
### Bedrock Agent