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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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<TargetFrameworks>net10.0</TargetFrameworks>
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<Nullable>enable</Nullable>
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<ImplicitUsings>enable</ImplicitUsings>
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<NoWarn>$(NoWarn);IDE0059</NoWarn>
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</PropertyGroup>
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<ItemGroup>
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<PackageReference Include="Azure.Identity" />
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<PackageReference Include="Anthropic.Foundry" />
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</ItemGroup>
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<ItemGroup>
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<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Anthropic\Microsoft.Agents.AI.Anthropic.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 and use an AI agent with Anthropic as the backend.
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using System.Net.Http.Headers;
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using Anthropic;
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using Anthropic.Foundry;
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using Azure.Core;
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using Azure.Identity;
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using Microsoft.Agents.AI;
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using Sample;
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var deploymentName = Environment.GetEnvironmentVariable("ANTHROPIC_DEPLOYMENT_NAME") ?? "claude-haiku-4-5";
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// The resource is the subdomain name / first name coming before '.services.ai.azure.com' in the endpoint Uri
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// ie: https://(resource name).services.ai.azure.com/anthropic/v1/chat/completions
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string? resource = Environment.GetEnvironmentVariable("ANTHROPIC_RESOURCE");
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string? apiKey = Environment.GetEnvironmentVariable("ANTHROPIC_API_KEY");
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const string JokerInstructions = "You are good at telling jokes.";
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const string JokerName = "JokerAgent";
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AnthropicClient? client = (resource is null)
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? new AnthropicClient() { APIKey = apiKey ?? throw new InvalidOperationException("ANTHROPIC_API_KEY is required when no ANTHROPIC_RESOURCE is provided") } // If no resource is provided, use Anthropic public API
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: (apiKey is not null)
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? new AnthropicFoundryClient(new AnthropicFoundryApiKeyCredentials(apiKey, resource)) // If an apiKey is provided, use Foundry with ApiKey authentication
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: new AnthropicFoundryClient(new AnthropicAzureTokenCredential(new AzureCliCredential(), resource)); // Otherwise, use Foundry with Azure Client authentication
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AIAgent agent = client.AsAIAgent(model: deploymentName, instructions: JokerInstructions, name: JokerName);
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// Invoke the agent and output the text result.
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Console.WriteLine(await agent.RunAsync("Tell me a joke about a pirate."));
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namespace Sample
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{
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/// <summary>
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/// Provides methods for invoking the Azure hosted Anthropic models using <see cref="TokenCredential"/> types.
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/// </summary>
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public sealed class AnthropicAzureTokenCredential : IAnthropicFoundryCredentials
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{
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private readonly TokenCredential _tokenCredential;
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private readonly Lock _lock = new();
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private AccessToken? _cachedAccessToken;
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/// <inheritdoc/>
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public string ResourceName { get; }
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/// <summary>
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/// Creates a new instance of the <see cref="AnthropicAzureTokenCredential"/>.
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/// </summary>
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/// <param name="tokenCredential">The credential provider. Use any specialization of <see cref="TokenCredential"/> to get your access token in supported environments.</param>
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/// <param name="resourceName">The service resource subdomain name to use in the anthropic azure endpoint</param>
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internal AnthropicAzureTokenCredential(TokenCredential tokenCredential, string resourceName)
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{
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this.ResourceName = resourceName ?? throw new ArgumentNullException(nameof(resourceName));
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this._tokenCredential = tokenCredential ?? throw new ArgumentNullException(nameof(tokenCredential));
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}
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/// <inheritdoc/>
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public void Apply(HttpRequestMessage requestMessage)
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{
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lock (this._lock)
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{
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// Add a 5-minute buffer to avoid using tokens that are about to expire
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if (this._cachedAccessToken is null || this._cachedAccessToken.Value.ExpiresOn <= DateTimeOffset.Now.AddMinutes(5))
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{
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this._cachedAccessToken = this._tokenCredential.GetToken(new TokenRequestContext(scopes: ["https://ai.azure.com/.default"]), CancellationToken.None);
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}
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}
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requestMessage.Headers.Authorization = new AuthenticationHeaderValue("bearer", this._cachedAccessToken.Value.Token);
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}
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}
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}
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# Creating an AIAgent with Anthropic
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This sample demonstrates how to create an AIAgent using Anthropic Claude models as the underlying inference service.
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The sample supports three deployment scenarios:
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1. **Anthropic Public API** - Direct connection to Anthropic's public API
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2. **Azure Foundry with API Key** - Anthropic models deployed through Azure Foundry using API key authentication
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3. **Azure Foundry with Azure CLI** - Anthropic models deployed through Azure Foundry using Azure CLI credentials
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## Prerequisites
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Before you begin, ensure you have the following prerequisites:
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- .NET 8.0 SDK or later
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### For Anthropic Public API
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- Anthropic API key
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Set the following environment variables:
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```powershell
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$env:ANTHROPIC_API_KEY="your-anthropic-api-key" # Replace with your Anthropic API key
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$env:ANTHROPIC_DEPLOYMENT_NAME="claude-haiku-4-5" # Optional, defaults to claude-haiku-4-5
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```
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### For Azure Foundry with API Key
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- Azure Foundry service endpoint and deployment configured
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- Anthropic API key
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Set the following environment variables:
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```powershell
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$env:ANTHROPIC_RESOURCE="your-foundry-resource-name" # Replace with your Azure Foundry resource name (subdomain before .services.ai.azure.com)
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$env:ANTHROPIC_API_KEY="your-anthropic-api-key" # Replace with your Anthropic API key
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$env:ANTHROPIC_DEPLOYMENT_NAME="claude-haiku-4-5" # Optional, defaults to claude-haiku-4-5
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```
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### For Azure Foundry with Azure CLI
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- Azure Foundry service endpoint and deployment configured
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- Azure CLI installed and authenticated (for Azure credential authentication)
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Set the following environment variables:
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```powershell
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$env:ANTHROPIC_RESOURCE="your-foundry-resource-name" # Replace with your Azure Foundry resource name (subdomain before .services.ai.azure.com)
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$env:ANTHROPIC_DEPLOYMENT_NAME="claude-haiku-4-5" # Optional, defaults to claude-haiku-4-5
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```
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**Note**: When using Azure Foundry with Azure CLI, make sure you're logged in with `az login` and have access to the Azure Foundry resource. For more information, see the [Azure CLI documentation](https://learn.microsoft.com/cli/azure/authenticate-azure-cli-interactively).
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