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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>net10.0</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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<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 reasoning capabilities.
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using Anthropic;
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using Anthropic.Core;
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using Anthropic.Models.Messages;
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using Microsoft.Agents.AI;
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using Microsoft.Extensions.AI;
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var apiKey = Environment.GetEnvironmentVariable("ANTHROPIC_API_KEY") ?? throw new InvalidOperationException("ANTHROPIC_API_KEY is not set.");
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var model = Environment.GetEnvironmentVariable("ANTHROPIC_MODEL") ?? "claude-haiku-4-5";
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var maxTokens = 4096;
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var thinkingTokens = 2048;
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var agent = new AnthropicClient(new ClientOptions { APIKey = apiKey })
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.AsAIAgent(
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model: model,
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clientFactory: (chatClient) => chatClient
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.AsBuilder()
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.ConfigureOptions(
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options => options.RawRepresentationFactory = (_) => new MessageCreateParams()
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{
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Model = options.ModelId ?? model,
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MaxTokens = options.MaxOutputTokens ?? maxTokens,
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Messages = [],
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Thinking = new ThinkingConfigParam(new ThinkingConfigEnabled(budgetTokens: thinkingTokens))
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})
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.Build());
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Console.WriteLine("1. Non-streaming:");
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var response = await agent.RunAsync("Solve this problem step by step: If a train travels 60 miles per hour and needs to cover 180 miles, how long will the journey take? Show your reasoning.");
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Console.WriteLine("#### Start Thinking ####");
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Console.WriteLine($"\e[92m{string.Join("\n", response.Messages.SelectMany(m => m.Contents.OfType<TextReasoningContent>().Select(c => c.Text)))}\e[0m");
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Console.WriteLine("#### End Thinking ####");
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Console.WriteLine("\n#### Final Answer ####");
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Console.WriteLine(response.Text);
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Console.WriteLine("Token usage:");
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Console.WriteLine($"Input: {response.Usage?.InputTokenCount}, Output: {response.Usage?.OutputTokenCount}, {string.Join(", ", response.Usage?.AdditionalCounts ?? [])}");
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Console.WriteLine();
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Console.WriteLine("2. Streaming");
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await foreach (var update in agent.RunStreamingAsync("Explain the theory of relativity in simple terms."))
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{
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foreach (var item in update.Contents)
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{
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if (item is TextReasoningContent reasoningContent)
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{
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Console.WriteLine($"\e[92m{reasoningContent.Text}\e[0m");
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}
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else if (item is TextContent textContent)
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{
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Console.WriteLine(textContent.Text);
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}
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}
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}
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# Using reasoning with Anthropic agents
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This sample demonstrates how to use extended thinking/reasoning capabilities with Anthropic Claude agents.
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## What this sample demonstrates
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- Creating an AI agent with Anthropic Claude extended thinking
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- Using reasoning capabilities for complex problem solving
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- Extracting thinking and response content from agent output
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- Managing agent lifecycle
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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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- Anthropic API key configured
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- Access to Anthropic Claude models with extended thinking support
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**Note**: This sample uses Anthropic Claude models with extended thinking. For more information, see [Anthropic documentation](https://docs.anthropic.com/).
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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_MODEL="your-anthropic-model" # Replace with your Anthropic model
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```
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## Run the sample
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Navigate to the AgentWithAnthropic sample directory and run:
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```powershell
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cd dotnet\samples\GettingStarted\AgentWithAnthropic
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dotnet run --project .\Agent_Anthropic_Step02_Reasoning
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```
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## Expected behavior
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The sample will:
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1. Create an agent with Anthropic Claude extended thinking enabled
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2. Run the agent with a complex reasoning prompt
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3. Display the agent's thinking process
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4. Display the agent's final response
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