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https://github.com/microsoft/agent-framework.git
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Moved by agent (#4094)
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<Project Sdk="Microsoft.NET.Sdk">
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<PropertyGroup>
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<TargetFrameworks>net10.0</TargetFrameworks>
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<AzureFunctionsVersion>v4</AzureFunctionsVersion>
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<OutputType>Exe</OutputType>
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<ImplicitUsings>enable</ImplicitUsings>
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<Nullable>enable</Nullable>
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<!-- The Functions build tools don't like namespaces that start with a number -->
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<AssemblyName>SingleAgent</AssemblyName>
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<RootNamespace>SingleAgent</RootNamespace>
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</PropertyGroup>
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<ItemGroup>
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<FrameworkReference Include="Microsoft.AspNetCore.App" />
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</ItemGroup>
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<!-- Azure Functions packages -->
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<ItemGroup>
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<PackageReference Include="Microsoft.Azure.Functions.Worker" />
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<PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask" />
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<PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask.AzureManaged" />
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<PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.Http.AspNetCore" />
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<PackageReference Include="Microsoft.Azure.Functions.Worker.Sdk" />
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</ItemGroup>
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<ItemGroup>
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<PackageReference Include="Azure.AI.OpenAI" />
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<PackageReference Include="Azure.Identity" />
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</ItemGroup>
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<!-- Local projects that should be switched to package references when using the sample outside of this MAF repo -->
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<!--
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<ItemGroup>
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<PackageReference Include="Microsoft.Agents.AI.Hosting.AzureFunctions" />
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<PackageReference Include="Microsoft.Agents.AI.OpenAI" />
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</ItemGroup>
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-->
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<ItemGroup>
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<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Hosting.AzureFunctions\Microsoft.Agents.AI.Hosting.AzureFunctions.csproj" />
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<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
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</ItemGroup>
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</Project>
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// Copyright (c) Microsoft. All rights reserved.
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#pragma warning disable IDE0002 // Simplify Member Access
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using Azure;
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using Azure.AI.OpenAI;
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using Azure.Identity;
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using Microsoft.Agents.AI;
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using Microsoft.Agents.AI.Hosting.AzureFunctions;
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using Microsoft.Azure.Functions.Worker.Builder;
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using Microsoft.Extensions.Hosting;
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using OpenAI.Chat;
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// Get the Azure OpenAI endpoint and deployment name from environment variables.
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string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT")
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?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
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string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT")
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?? throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT is not set.");
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// Use Azure Key Credential if provided, otherwise use Azure CLI Credential.
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string? azureOpenAiKey = System.Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY");
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// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
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// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
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// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
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AzureOpenAIClient client = !string.IsNullOrEmpty(azureOpenAiKey)
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? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey))
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: new AzureOpenAIClient(new Uri(endpoint), new DefaultAzureCredential());
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// Set up an AI agent following the standard Microsoft Agent Framework pattern.
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const string JokerName = "Joker";
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const string JokerInstructions = "You are good at telling jokes.";
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AIAgent agent = client.GetChatClient(deploymentName).AsAIAgent(JokerInstructions, JokerName);
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// Configure the function app to host the AI agent.
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// This will automatically generate HTTP API endpoints for the agent.
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using IHost app = FunctionsApplication
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.CreateBuilder(args)
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.ConfigureFunctionsWebApplication()
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.ConfigureDurableAgents(options => options.AddAIAgent(agent, timeToLive: TimeSpan.FromHours(1)))
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.Build();
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app.Run();
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@@ -1,89 +0,0 @@
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# Single Agent Sample
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This sample demonstrates how to use the Durable Agent Framework (DAFx) to create a simple Azure Functions app that hosts a single AI agent and provides direct HTTP API access for interactive conversations.
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## Key Concepts Demonstrated
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- Using the Microsoft Agent Framework to define a simple AI agent with a name and instructions.
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- Registering agents with the Function app and running them using HTTP.
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- Conversation management (via session IDs) for isolated interactions.
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## Environment Setup
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See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies.
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## Running the Sample
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With the environment setup and function app running, you can test the sample by sending an HTTP request to the agent endpoint.
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You can use the `demo.http` file to send a message to the agent, or a command line tool like `curl` as shown below:
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Bash (Linux/macOS/WSL):
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```bash
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curl -X POST http://localhost:7071/api/agents/Joker/run \
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-H "Content-Type: text/plain" \
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-d "Tell me a joke about a pirate."
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```
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PowerShell:
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```powershell
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Invoke-RestMethod -Method Post `
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-Uri http://localhost:7071/api/agents/Joker/run `
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-ContentType text/plain `
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-Body "Tell me a joke about a pirate."
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```
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You can also send JSON requests:
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```bash
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curl -X POST http://localhost:7071/api/agents/Joker/run \
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-H "Content-Type: application/json" \
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-H "Accept: application/json" \
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-d '{"message": "Tell me a joke about a pirate."}'
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```
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To continue a conversation, include the `thread_id` in the query string or JSON body:
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```bash
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curl -X POST "http://localhost:7071/api/agents/Joker/run?thread_id=your-thread-id" \
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-H "Content-Type: application/json" \
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-H "Accept: application/json" \
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-d '{"message": "Tell me another one."}'
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```
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The response from the agent will be displayed in the terminal where you ran `func start`. The expected `text/plain` output will look something like:
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```text
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Why don't pirates ever learn the alphabet? Because they always get stuck at "C"!
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```
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The expected `application/json` output will look something like:
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```json
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{
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"status": 200,
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"thread_id": "ee6e47a0-f24b-40b1-ade8-16fcebb9eb40",
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"response": {
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"Messages": [
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{
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"AuthorName": "Joker",
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"CreatedAt": "2025-11-11T12:00:00.0000000Z",
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"Role": "assistant",
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"Contents": [
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{
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"Type": "text",
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"Text": "Why don't pirates ever learn the alphabet? Because they always get stuck at 'C'!"
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}
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]
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}
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],
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"Usage": {
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"InputTokenCount": 78,
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"OutputTokenCount": 36,
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"TotalTokenCount": 114
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}
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}
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}
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```
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@@ -1,8 +0,0 @@
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# Default endpoint address for local testing
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@authority=http://localhost:7071
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### Prompt the agent
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POST {{authority}}/api/agents/Joker/run
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Content-Type: text/plain
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Tell me a joke about a pirate.
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@@ -1,20 +0,0 @@
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{
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"version": "2.0",
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"logging": {
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"logLevel": {
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"Microsoft.Agents.AI.DurableTask": "Information",
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"Microsoft.Agents.AI.Hosting.AzureFunctions": "Information",
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"DurableTask": "Information",
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"Microsoft.DurableTask": "Information"
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}
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},
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"extensions": {
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"durableTask": {
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"hubName": "default",
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"storageProvider": {
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"type": "AzureManaged",
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"connectionStringName": "DURABLE_TASK_SCHEDULER_CONNECTION_STRING"
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}
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}
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}
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}
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@@ -1,10 +0,0 @@
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{
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"IsEncrypted": false,
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"Values": {
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"FUNCTIONS_WORKER_RUNTIME": "dotnet-isolated",
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"AzureWebJobsStorage": "UseDevelopmentStorage=true",
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"DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None",
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"AZURE_OPENAI_ENDPOINT": "<AZURE_OPENAI_ENDPOINT>",
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"AZURE_OPENAI_DEPLOYMENT": "<AZURE_OPENAI_DEPLOYMENT>"
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}
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}
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@@ -2,7 +2,6 @@
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This directory contains samples for Azure Functions.
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- **[01_SingleAgent](01_SingleAgent)**: A sample that demonstrates how to host a single conversational agent in an Azure Functions app and invoke it directly over HTTP.
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- **[02_AgentOrchestration_Chaining](02_AgentOrchestration_Chaining)**: A sample that demonstrates how to host a single conversational agent in an Azure Functions app and invoke it using a durable orchestration.
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- **[03_AgentOrchestration_Concurrency](03_AgentOrchestration_Concurrency)**: A sample that demonstrates how to host multiple agents in an Azure Functions app and run them concurrently using a durable orchestration.
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- **[04_AgentOrchestration_Conditionals](04_AgentOrchestration_Conditionals)**: A sample that demonstrates how to host multiple agents in an Azure Functions app and run them sequentially using a durable orchestration with conditionals.
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@@ -135,7 +134,7 @@ These environment variables, when set, will override the values in the `local.se
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Navigate to the sample directory and start the Azure Functions app:
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```bash
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cd dotnet/samples/AzureFunctions/01_SingleAgent
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cd dotnet/samples/01-get-started/06_host_your_agent
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func start
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```
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