Updating to align with quickstart sample (#221)
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1 changed files with 36 additions and 54 deletions
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@ -1384,7 +1384,7 @@ cd QuickstartClient
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Then, add the required dependencies to your project:
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```bash
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dotnet add package ModelContextProtocol --preview
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dotnet add package ModelContextProtocol --prerelease
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dotnet add package Anthropic.SDK
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dotnet add package Microsoft.Extensions.Hosting
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```
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@ -1423,10 +1423,10 @@ var (command, arguments) = args switch
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_ => throw new NotSupportedException("An unsupported server script was provided. Supported scripts are .py, .js, or .csproj")
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};
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var mcpClient = await McpClientFactory.CreateAsync(new()
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await using var mcpClient = await McpClientFactory.CreateAsync(new()
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{
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Id = "demo-client",
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Name = "Demo Client",
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Id = "demo-server",
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Name = "Demo Server",
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TransportType = TransportTypes.StdIo,
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TransportOptions = new()
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{
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@ -1455,7 +1455,7 @@ This configures a MCP client that will connect to a server that is provided as a
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Now let's add the core functionality for processing queries and handling tool calls:
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```csharp
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IChatClient anthropicClient = new AnthropicClient(new APIAuthentication(builder.Configuration["ANTHROPIC_API_KEY"]))
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using IChatClient anthropicClient = new AnthropicClient(new APIAuthentication(builder.Configuration["ANTHROPIC_API_KEY"]))
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.Messages
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.AsBuilder()
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.UseFunctionInvocation()
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@ -1465,7 +1465,7 @@ var options = new ChatOptions
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{
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MaxOutputTokens = 1000,
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ModelId = "claude-3-5-sonnet-20241022",
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Tools = [.. tools.Cast<AITool>()]
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Tools = [.. tools]
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};
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while (true)
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@ -1484,16 +1484,14 @@ while (true)
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break;
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}
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var response = await anthropicClient.GetResponseAsync(query, options);
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var response = anthropicClient.GetStreamingResponseAsync(query, options);
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foreach (var message in response.Messages)
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await foreach (var message in response)
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{
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Console.WriteLine(message.Text);
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Console.Write(message.Text);
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}
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Console.WriteLine();
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}
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anthropicClient.Dispose();
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await mcpClient.DisposeAsync();
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```
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## Key Components Explained
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