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Merge branch 'main' into feature-foundry-agents
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<Project Sdk="Microsoft.NET.Sdk">
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<PropertyGroup>
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<OutputType>Exe</OutputType>
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<TargetFramework>net9.0</TargetFramework>
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<Nullable>enable</Nullable>
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<ImplicitUsings>enable</ImplicitUsings>
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</PropertyGroup>
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<ItemGroup>
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<PackageReference Include="Azure.AI.Agents.Persistent" />
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<PackageReference Include="Azure.Identity" />
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</ItemGroup>
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<ItemGroup>
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<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI.Persistent\Microsoft.Agents.AI.AzureAI.Persistent.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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// This sample shows how to create an Azure AI Foundry Agent with the Deep Research Tool.
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using Azure.AI.Agents.Persistent;
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using Azure.Identity;
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using Microsoft.Agents.AI;
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var endpoint = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_FOUNDRY_PROJECT_ENDPOINT is not set.");
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var deepResearchDeploymentName = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_DEEP_RESEARCH_DEPLOYMENT_NAME") ?? "o3-deep-research";
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var modelDeploymentName = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_DEPLOYMENT_NAME") ?? "gpt-4o";
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var bingConnectionId = Environment.GetEnvironmentVariable("BING_CONNECTION_ID") ?? throw new InvalidOperationException("BING_CONNECTION_ID is not set.");
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// Configure extended network timeout for long-running Deep Research tasks.
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PersistentAgentsAdministrationClientOptions persistentAgentsClientOptions = new();
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persistentAgentsClientOptions.Retry.NetworkTimeout = TimeSpan.FromMinutes(20);
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// Get a client to create/retrieve server side agents with.
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PersistentAgentsClient persistentAgentsClient = new(endpoint, new AzureCliCredential(), persistentAgentsClientOptions);
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// Define and configure the Deep Research tool.
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DeepResearchToolDefinition deepResearchTool = new(new DeepResearchDetails(
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bingGroundingConnections: [new(bingConnectionId)],
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model: deepResearchDeploymentName)
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);
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// Create an agent with the Deep Research tool on the Azure AI agent service.
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AIAgent agent = await persistentAgentsClient.CreateAIAgentAsync(
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model: modelDeploymentName,
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name: "DeepResearchAgent",
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instructions: "You are a helpful Agent that assists in researching scientific topics.",
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tools: [deepResearchTool]);
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const string Task = "Research the current state of studies on orca intelligence and orca language, " +
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"including what is currently known about orcas' cognitive capabilities and communication systems.";
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Console.WriteLine($"# User: '{Task}'");
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Console.WriteLine();
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try
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{
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AgentThread thread = agent.GetNewThread();
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await foreach (var response in agent.RunStreamingAsync(Task, thread))
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{
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Console.Write(response.Text);
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}
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}
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finally
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{
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await persistentAgentsClient.Administration.DeleteAgentAsync(agent.Id);
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}
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# What this sample demonstrates
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This sample demonstrates how to create an Azure AI Agent with the Deep Research Tool, which leverages the o3-deep-research reasoning model to perform comprehensive research on complex topics.
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Key features:
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- Configuring and using the Deep Research Tool with Bing grounding
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- Creating a persistent AI agent with deep research capabilities
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- Executing deep research queries and retrieving results
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## Prerequisites
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Before running this sample, ensure you have:
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1. An Azure AI Foundry project set up
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2. A deep research model deployment (e.g., o3-deep-research)
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3. A model deployment (e.g., gpt-4o)
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4. A Bing Connection configured in your Azure AI Foundry project
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5. Azure CLI installed and authenticated
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**Important**: Please visit the following documentation for detailed setup instructions:
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- [Deep Research Tool Documentation](https://aka.ms/agents-deep-research)
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- [Research Tool Setup](https://learn.microsoft.com/en-us/azure/ai-foundry/agents/how-to/tools/deep-research#research-tool-setup)
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Pay special attention to the purple `Note` boxes in the Azure documentation.
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**Note**: The Bing Connection ID must be from the **project**, not the resource. It has the following format:
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```
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/subscriptions/<sub_id>/resourceGroups/<rg_name>/providers/<provider_name>/accounts/<account_name>/projects/<project_name>/connections/<connection_name>
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```
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## Environment Variables
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Set the following environment variables:
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```powershell
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# Replace with your Azure AI Foundry project endpoint
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$env:AZURE_FOUNDRY_PROJECT_ENDPOINT="https://your-project.services.ai.azure.com/"
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# Replace with your Bing connection ID from the project
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$env:BING_CONNECTION_ID="/subscriptions/.../connections/your-bing-connection"
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# Optional, defaults to o3-deep-research
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$env:AZURE_FOUNDRY_PROJECT_DEEP_RESEARCH_DEPLOYMENT_NAME="o3-deep-research"
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# Optional, defaults to gpt-4o
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$env:AZURE_FOUNDRY_PROJECT_DEPLOYMENT_NAME="gpt-4o"
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@@ -44,6 +44,7 @@ Before you begin, ensure you have the following prerequisites:
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|[Using plugins with an agent](./Agent_Step15_Plugins/)|This sample demonstrates how to use plugins with an agent|
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|[Reducing chat history size](./Agent_Step16_ChatReduction/)|This sample demonstrates how to reduce the chat history to constrain its size, where chat history is maintained locally|
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|[Background responses](./Agent_Step17_BackgroundResponses/)|This sample demonstrates how to use background responses for long-running operations with polling and resumption support|
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|[Deep research with an agent](./Agent_Step18_DeepResearch/)|This sample demonstrates how to use the Deep Research Tool to perform comprehensive research on complex topics|
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## Running the samples from the console
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