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<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
<TargetFramework>net10.0</TargetFramework>
<Nullable>enable</Nullable>
<ImplicitUsings>enable</ImplicitUsings>
</PropertyGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Anthropic\Microsoft.Agents.AI.Anthropic.csproj" />
</ItemGroup>
</Project>

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// Copyright (c) Microsoft. All rights reserved.
// This sample shows how to create and use an AI agent with reasoning capabilities.
using Anthropic;
using Anthropic.Core;
using Anthropic.Models.Messages;
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
var apiKey = Environment.GetEnvironmentVariable("ANTHROPIC_API_KEY") ?? throw new InvalidOperationException("ANTHROPIC_API_KEY is not set.");
var model = Environment.GetEnvironmentVariable("ANTHROPIC_MODEL") ?? "claude-haiku-4-5";
var maxTokens = 4096;
var thinkingTokens = 2048;
var agent = new AnthropicClient(new ClientOptions { APIKey = apiKey })
.AsAIAgent(
model: model,
clientFactory: (chatClient) => chatClient
.AsBuilder()
.ConfigureOptions(
options => options.RawRepresentationFactory = (_) => new MessageCreateParams()
{
Model = options.ModelId ?? model,
MaxTokens = options.MaxOutputTokens ?? maxTokens,
Messages = [],
Thinking = new ThinkingConfigParam(new ThinkingConfigEnabled(budgetTokens: thinkingTokens))
})
.Build());
Console.WriteLine("1. Non-streaming:");
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.");
Console.WriteLine("#### Start Thinking ####");
Console.WriteLine($"\e[92m{string.Join("\n", response.Messages.SelectMany(m => m.Contents.OfType<TextReasoningContent>().Select(c => c.Text)))}\e[0m");
Console.WriteLine("#### End Thinking ####");
Console.WriteLine("\n#### Final Answer ####");
Console.WriteLine(response.Text);
Console.WriteLine("Token usage:");
Console.WriteLine($"Input: {response.Usage?.InputTokenCount}, Output: {response.Usage?.OutputTokenCount}, {string.Join(", ", response.Usage?.AdditionalCounts ?? [])}");
Console.WriteLine();
Console.WriteLine("2. Streaming");
await foreach (var update in agent.RunStreamingAsync("Explain the theory of relativity in simple terms."))
{
foreach (var item in update.Contents)
{
if (item is TextReasoningContent reasoningContent)
{
Console.WriteLine($"\e[92m{reasoningContent.Text}\e[0m");
}
else if (item is TextContent textContent)
{
Console.WriteLine(textContent.Text);
}
}
}

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# Using reasoning with Anthropic agents
This sample demonstrates how to use extended thinking/reasoning capabilities with Anthropic Claude agents.
## What this sample demonstrates
- Creating an AI agent with Anthropic Claude extended thinking
- Using reasoning capabilities for complex problem solving
- Extracting thinking and response content from agent output
- Managing agent lifecycle
## Prerequisites
Before you begin, ensure you have the following prerequisites:
- .NET 8.0 SDK or later
- Anthropic API key configured
- Access to Anthropic Claude models with extended thinking support
**Note**: This sample uses Anthropic Claude models with extended thinking. For more information, see [Anthropic documentation](https://docs.anthropic.com/).
Set the following environment variables:
```powershell
$env:ANTHROPIC_API_KEY="your-anthropic-api-key" # Replace with your Anthropic API key
$env:ANTHROPIC_MODEL="your-anthropic-model" # Replace with your Anthropic model
```
## Run the sample
Navigate to the AgentWithAnthropic sample directory and run:
```powershell
cd dotnet\samples\GettingStarted\AgentWithAnthropic
dotnet run --project .\Agent_Anthropic_Step02_Reasoning
```
## Expected behavior
The sample will:
1. Create an agent with Anthropic Claude extended thinking enabled
2. Run the agent with a complex reasoning prompt
3. Display the agent's thinking process
4. Display the agent's final response