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OpenTelemetry: context propagation and semconv update (#262)

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Liudmila Molkova 2025-04-12 19:12:11 -07:00 • committed by GitHub
commit d6cc65aced
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2 changed files with 398 additions and 89 deletions
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2
samples/ChatWithTools/ChatWithTools.csproj
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@ -15,6 +15,8 @@
<PackageReference Include="Microsoft.Extensions.AI" />
<PackageReference Include="Microsoft.Extensions.AI.OpenAI" />
<PackageReference Include="Anthropic.SDK" />
<PackageReference Include="OpenTelemetry.Exporter.OpenTelemetryProtocol" />
<PackageReference Include="OpenTelemetry.Instrumentation.Http" />
</ItemGroup>
<ItemGroup>

48
samples/ChatWithTools/Program.cs
View file

@ -3,15 +3,49 @@ using ModelContextProtocol.Protocol.Transport;
using Microsoft.Extensions.AI;
using OpenAI;
using OpenTelemetry;
using OpenTelemetry.Trace;
using Microsoft.Extensions.Logging;
using OpenTelemetry.Logs;
using OpenTelemetry.Metrics;
using var tracerProvider = Sdk.CreateTracerProviderBuilder()
.AddHttpClientInstrumentation()
.AddSource("*")
.AddOtlpExporter()
.Build();
using var metricsProvider = Sdk.CreateMeterProviderBuilder()
.AddHttpClientInstrumentation()
.AddMeter("*")
.AddOtlpExporter()
.Build();
using var loggerFactory = LoggerFactory.Create(builder => builder.AddOpenTelemetry(opt => opt.AddOtlpExporter()));
// Connect to an MCP server
Console.WriteLine("Connecting client to MCP 'everything' server");
// Create OpenAI client (or any other compatible with IChatClient)
// Provide your own OPENAI_API_KEY via an environment variable.
var openAIClient = new OpenAIClient(Environment.GetEnvironmentVariable("OPENAI_API_KEY")).GetChatClient("gpt-4o-mini");
// Create a sampling client.
using IChatClient samplingClient = openAIClient.AsIChatClient()
.AsBuilder()
.UseOpenTelemetry(loggerFactory: loggerFactory, configure: o => o.EnableSensitiveData = true)
.Build();
var mcpClient = await McpClientFactory.CreateAsync(
new StdioClientTransport(new()
{
Command = "npx",
Arguments = ["-y", "--verbose", "@modelcontextprotocol/server-everything"],
Name = "Everything",
}));
}),
clientOptions: new()
{
Capabilities = new() { Sampling = new() { SamplingHandler = samplingClient.CreateSamplingHandler() } },
},
loggerFactory: loggerFactory);
// Get all available tools
Console.WriteLine("Tools available:");
@ -20,13 +54,15 @@ foreach (var tool in tools)
{
Console.WriteLine($" {tool}");
}
Console.WriteLine();
// Create an IChatClient. (This shows using OpenAIClient, but it could be any other IChatClient implementation.)
// Provide your own OPENAI_API_KEY via an environment variable.
using IChatClient chatClient =
new OpenAIClient(Environment.GetEnvironmentVariable("OPENAI_API_KEY")).GetChatClient("gpt-4o-mini").AsIChatClient()
.AsBuilder().UseFunctionInvocation().Build();
// Create an IChatClient that can use the tools.
using IChatClient chatClient = openAIClient.AsIChatClient()
.AsBuilder()
.UseFunctionInvocation()
.UseOpenTelemetry(loggerFactory: loggerFactory, configure: o => o.EnableSensitiveData = true)
.Build();
// Have a conversation, making all tools available to the LLM.
List<ChatMessage> messages = [];