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Fix broken links (#583)
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@@ -21,10 +21,9 @@ Below are the basics for each language implementation. For more details on pytho
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- [Getting Started with Workflows](./python/samples/getting_started/workflow): basic workflow creation and integration with agents
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### .Net
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- [Getting Started with Agents](./dotnet/samples/GettingStarted/Steps): basic agent creation and tool usage
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- [Agent Provider Samples](./dotnet/samples/GettingStarted/Providers): samples showing different agent providers
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- [Getting Started with Agents](./dotnet/samples/GettingStarted/Agents): basic agent creation and tool usage
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- [Agent Provider Samples](./dotnet/samples/GettingStarted/AgentProviders): samples showing different agent providers
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- [Orchestration Samples](./dotnet/samples/GettingStarted/Orchestration): advanced multi-agent patterns
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- [Getting Started with Workflows](./dotnet/samples/GettingStarted/Workflow): (Coming soon) basic workflow creation and integration with agents
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## Agent Framework Documentation
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+1
-13
@@ -1,13 +1,3 @@
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# TODO: The maintainer of this repo has not yet edited this file
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**REPO OWNER**: Do you want Customer Service & Support (CSS) support for this product/project?
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- **No CSS support:** Fill out this template with information about how to file issues and get help.
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- **Yes CSS support:** Fill out an intake form at [aka.ms/onboardsupport](https://aka.ms/onboardsupport). CSS will work with/help you to determine next steps.
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- **Not sure?** Fill out an intake as though the answer were "Yes". CSS will help you decide.
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*Then remove this first heading from this SUPPORT.MD file before publishing your repo.*
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# Support
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## How to file issues and get help
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@@ -16,9 +6,7 @@ This project uses GitHub Issues to track bugs and feature requests. Please searc
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issues before filing new issues to avoid duplicates. For new issues, file your bug or
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feature request as a new Issue.
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For help and questions about using this project, please **REPO MAINTAINER: INSERT INSTRUCTIONS HERE
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FOR HOW TO ENGAGE REPO OWNERS OR COMMUNITY FOR HELP. COULD BE A STACK OVERFLOW TAG OR OTHER
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CHANNEL. WHERE WILL YOU HELP PEOPLE?**.
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For help and questions about using this project, please create a GitHub issue.
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## Microsoft Support Policy
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@@ -13,13 +13,13 @@ See the README.md for each sample for the prerequisites for that sample.
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|Sample|Description|
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|---|---|
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|[Creating an AIAgent with A2A](./AIAgent_With_A2A/)|This sample demonstrates how to create AIAgent for an existing A2A agent.|
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|[Creating an AIAgent with AzureFoundry](./AIAgent_With_AzureFoundry/)|This sample demonstrates how to create an Azure Foundry agent and expose it as an AIAgent|
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|[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|
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|[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|
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|[Creating an AIAgent with ONNX](./AIAgent_With_ONNX/)|This sample demonstrates how to create an AIAgent using ONNX as the underlying inference service|
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|[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|
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|[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|
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|[Creating an AIAgent with A2A](./Agent_With_A2A/)|This sample demonstrates how to create AIAgent for an existing A2A agent.|
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|[Creating an AIAgent with AzureFoundry](./Agent_With_AzureFoundry/)|This sample demonstrates how to create an Azure Foundry agent and expose it as an AIAgent|
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|[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|
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|[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|
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|[Creating an AIAgent with ONNX](./Agent_With_ONNX/)|This sample demonstrates how to create an AIAgent using ONNX as the underlying inference service|
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|[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|
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|[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|
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## Running the samples from the console
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@@ -23,15 +23,15 @@ Before you begin, ensure you have the following prerequisites:
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|Sample|Description|
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|---|---|
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|[Running a simple agent](./Agents_Step01_Running/)|This sample demonstrates how to create and run a basic agent with instructions|
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|[Multi-turn conversation with a simple agent](./Agents_Step02_MultiturnConversation/)|This sample demonstrates how to implement a multi-turn conversation with a simple agent|
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|[Using function tools with a simple agent](./Agents_Step03_UsingFunctionTools/)|This sample demonstrates how to use function tools with a simple agent|
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|[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|
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|[Structured output with a simple agent](./Agents_Step05_StructuredOutput/)|This sample demonstrates how to use structured output with a simple agent|
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|[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|
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|[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|
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|[Telemetry with a simple agent](./Agents_Step08_Telemetry/)|This sample demonstrates how to add telemetry to a simple agent|
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|[Dependency injection with a simple agent](./Agents_Step09_DependencyInjection/)|This sample demonstrates how to add and resolve an agent with a dependency injection container|
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|[Running a simple agent](./Agent_Step01_Running/)|This sample demonstrates how to create and run a basic agent with instructions|
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|[Multi-turn conversation with a simple agent](./Agent_Step02_MultiturnConversation/)|This sample demonstrates how to implement a multi-turn conversation with a simple agent|
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|[Using function tools with a simple agent](./Agent_Step03_UsingFunctionTools/)|This sample demonstrates how to use function tools with a simple agent|
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|[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|
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|[Structured output with a simple agent](./Agent_Step05_StructuredOutput/)|This sample demonstrates how to use structured output with a simple agent|
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|[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|
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|[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|
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|[Telemetry with a simple agent](./Agent_Step08_Telemetry/)|This sample demonstrates how to add telemetry to a simple agent|
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|[Dependency injection with a simple agent](./Agent_Step09_DependencyInjection/)|This sample demonstrates how to add and resolve an agent with a dependency injection container|
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## Running the samples from the console
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@@ -18,6 +18,7 @@ The samples are subdivided into the following categories:
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`AIAgent` and can be used with any underlying service that provides an `AIAgent` implementation.
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- [Getting Started - Agent Providers](./GettingStarted/AgentProviders/README.md): Shows how to create an AIAgent instance for a selection of providers.
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- [Getting Started - Agent Telemetry](./GettingStarted/AgentOpenTelemetry/README.md): Demo which showcases the integration of OpenTelemetry with the Microsoft Agent Framework using Azure OpenAI and .NET Aspire Dashboard for telemetry visualization.
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- [Semantic Kernel Migration](./SemanticKernelMigration/): Semantic Kernel to Agent Framework migration guide
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## Prerequisites
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@@ -334,8 +334,10 @@ The migration samples are organized into three categories, each demonstrating di
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|[AzureAIFoundry](./AzureAIFoundry/)|Azure OpenAI service integration samples|
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|[AzureOpenAI](./AzureOpenAI/)|Direct Azure OpenAI API integration samples|
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|[AzureOpenAIAssistants](./AzureOpenAIAssistants/)|Azure OpenAI Assistants API integration samples|
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|[AzureOpenAIResponses](./AzureOpenAIResponses/)|Azure OpenAI Responses API integration samples|
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|[OpenAI](./OpenAI/)|Direct OpenAI API integration samples|
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|[OpenAIAssistants](./OpenAIAssistants/)|OpenAI Assistant API integration samples|
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|[OpenAIAssistants](./OpenAIAssistants/)|OpenAI Assistants API integration samples|
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|[OpenAIResponses](./OpenAIResponses/)|OpenAI Responses API integration samples|
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## Running the samples from the console
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