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Fix broken links (#583)

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Mark Wallace
2025-09-02 13:18:12 +01:00
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dotnet/samples/GettingStarted/AgentProviders/README.md
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@@ -13,13 +13,13 @@ See the README.md for each sample for the prerequisites for that sample.
|Sample|Description|
|---|---|
|[Creating an AIAgent with A2A](./AIAgent_With_A2A/)|This sample demonstrates how to create AIAgent for an existing A2A agent.|
|[Creating an AIAgent with AzureFoundry](./AIAgent_With_AzureFoundry/)|This sample demonstrates how to create an Azure Foundry agent and expose it as an AIAgent|
|[Creating an AIAgent with Azure OpenAI ChatCompletion](./AIAgent_With_AzureOpenAIChatCompletion/)|This sample demonstrates how to create an AIAgent using Azure OpenAI ChatCompletion as the underlying inference service|
|[Creating an AIAgent with Azure OpenAI Responses](./AIAgent_With_AzureOpenAIResponses/)|This sample demonstrates how to create an AIAgent using Azure OpenAI Responses as the underlying inference service|
|[Creating an AIAgent with ONNX](./AIAgent_With_ONNX/)|This sample demonstrates how to create an AIAgent using ONNX as the underlying inference service|
|[Creating an AIAgent with OpenAI ChatCompletion](./AIAgent_With_OpenAIChatCompletion/)|This sample demonstrates how to create an AIAgent using OpenAI ChatCompletion as the underlying inference service|
|[Creating an AIAgent with OpenAI Responses](./AIAgent_With_OpenAIResponses/)|This sample demonstrates how to create an AIAgent using OpenAI Responses as the underlying inference service|
|[Creating an AIAgent with A2A](./Agent_With_A2A/)|This sample demonstrates how to create AIAgent for an existing A2A agent.|
|[Creating an AIAgent with AzureFoundry](./Agent_With_AzureFoundry/)|This sample demonstrates how to create an Azure Foundry agent and expose it as an AIAgent|
|[Creating an AIAgent with Azure OpenAI ChatCompletion](./Agent_With_AzureOpenAIChatCompletion/)|This sample demonstrates how to create an AIAgent using Azure OpenAI ChatCompletion as the underlying inference service|
|[Creating an AIAgent with Azure OpenAI Responses](./Agent_With_AzureOpenAIResponses/)|This sample demonstrates how to create an AIAgent using Azure OpenAI Responses as the underlying inference service|
|[Creating an AIAgent with ONNX](./Agent_With_ONNX/)|This sample demonstrates how to create an AIAgent using ONNX as the underlying inference service|
|[Creating an AIAgent with OpenAI ChatCompletion](./Agent_With_OpenAIChatCompletion/)|This sample demonstrates how to create an AIAgent using OpenAI ChatCompletion as the underlying inference service|
|[Creating an AIAgent with OpenAI Responses](./Agent_With_OpenAIResponses/)|This sample demonstrates how to create an AIAgent using OpenAI Responses as the underlying inference service|
## Running the samples from the console
dotnet/samples/GettingStarted/Agents/README.md
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@@ -23,15 +23,15 @@ Before you begin, ensure you have the following prerequisites:
|Sample|Description|
|---|---|
|[Running a simple agent](./Agents_Step01_Running/)|This sample demonstrates how to create and run a basic agent with instructions|
|[Multi-turn conversation with a simple agent](./Agents_Step02_MultiturnConversation/)|This sample demonstrates how to implement a multi-turn conversation with a simple agent|
|[Using function tools with a simple agent](./Agents_Step03_UsingFunctionTools/)|This sample demonstrates how to use function tools with a simple agent|
|[Using function tools with approvals](./Agents_Step04_UsingFunctionToolsWithApprovals/)|This sample demonstrates how to use function tools where approvals require human in the loop approvals before execution|
|[Structured output with a simple agent](./Agents_Step05_StructuredOutput/)|This sample demonstrates how to use structured output with a simple agent|
|[Persisted conversations with a simple agent](./Agents_Step06_PersistedConversations/)|This sample demonstrates how to persist conversations and reload them later. This is useful for cases where an agent is hosted in a stateless service|
|[3rd party thread storage with a simple agent](./Agents_Step07_3rdPartyThreadStorage/)|This sample demonstrates how to store conversation history in a 3rd party storage solution|
|[Telemetry with a simple agent](./Agents_Step08_Telemetry/)|This sample demonstrates how to add telemetry to a simple agent|
|[Dependency injection with a simple agent](./Agents_Step09_DependencyInjection/)|This sample demonstrates how to add and resolve an agent with a dependency injection container|
|[Running a simple agent](./Agent_Step01_Running/)|This sample demonstrates how to create and run a basic agent with instructions|
|[Multi-turn conversation with a simple agent](./Agent_Step02_MultiturnConversation/)|This sample demonstrates how to implement a multi-turn conversation with a simple agent|
|[Using function tools with a simple agent](./Agent_Step03_UsingFunctionTools/)|This sample demonstrates how to use function tools with a simple agent|
|[Using function tools with approvals](./Agent_Step04_UsingFunctionToolsWithApprovals/)|This sample demonstrates how to use function tools where approvals require human in the loop approvals before execution|
|[Structured output with a simple agent](./Agent_Step05_StructuredOutput/)|This sample demonstrates how to use structured output with a simple agent|
|[Persisted conversations with a simple agent](./Agent_Step06_PersistedConversations/)|This sample demonstrates how to persist conversations and reload them later. This is useful for cases where an agent is hosted in a stateless service|
|[3rd party thread storage with a simple agent](./Agent_Step07_3rdPartyThreadStorage/)|This sample demonstrates how to store conversation history in a 3rd party storage solution|
|[Telemetry with a simple agent](./Agent_Step08_Telemetry/)|This sample demonstrates how to add telemetry to a simple agent|
|[Dependency injection with a simple agent](./Agent_Step09_DependencyInjection/)|This sample demonstrates how to add and resolve an agent with a dependency injection container|
## Running the samples from the console