Files
microsoft--semantic-kernel/dotnet/samples/Concepts/Functions/FunctionResult_Metadata.cs
T
wehub-resource-sync b957a53def
CodeQL / Analyze (csharp) (push) Has been cancelled
CodeQL / Analyze (python) (push) Has been cancelled
chore: import upstream snapshot with attribution
2026-07-13 13:21:23 +08:00

78 lines
2.6 KiB
C#

// Copyright (c) Microsoft. All rights reserved.
using Microsoft.SemanticKernel;
namespace Functions;
public class FunctionResult_Metadata(ITestOutputHelper output) : BaseTest(output)
{
[Fact]
public async Task GetTokenUsageMetadataAsync()
{
Console.WriteLine("======== Inline Function Definition + Invocation ========");
// Create kernel
var kernel = Kernel.CreateBuilder()
.AddOpenAIChatCompletion(
modelId: TestConfiguration.OpenAI.ChatModelId,
apiKey: TestConfiguration.OpenAI.ApiKey)
.Build();
// Create function
const string FunctionDefinition = "Hi, give me 5 book suggestions about: {{$input}}";
KernelFunction myFunction = kernel.CreateFunctionFromPrompt(FunctionDefinition);
// Invoke function through kernel
FunctionResult result = await kernel.InvokeAsync(myFunction, new() { ["input"] = "travel" });
// Display results
Console.WriteLine(result.GetValue<string>());
Console.WriteLine(result.Metadata?["Usage"]?.AsJson());
Console.WriteLine();
}
[Fact]
public async Task GetFullModelMetadataAsync()
{
Console.WriteLine("======== Inline Function Definition + Invocation ========");
// Create kernel
var kernel = Kernel.CreateBuilder()
.AddOpenAIChatCompletion(
modelId: TestConfiguration.OpenAI.ChatModelId,
apiKey: TestConfiguration.OpenAI.ApiKey)
.Build();
// Create function
const string FunctionDefinition = "1 + 1 = ?";
KernelFunction myFunction = kernel.CreateFunctionFromPrompt(FunctionDefinition);
// Invoke function through kernel
FunctionResult result = await kernel.InvokeAsync(myFunction);
// Display results
Console.WriteLine(result.GetValue<string>());
Console.WriteLine(result.Metadata?.AsJson());
Console.WriteLine();
}
[Fact]
public async Task GetMetadataFromStreamAsync()
{
var kernel = Kernel.CreateBuilder()
.AddOpenAIChatCompletion(
modelId: TestConfiguration.OpenAI.ChatModelId,
apiKey: TestConfiguration.OpenAI.ApiKey)
.Build();
// Create function
const string FunctionDefinition = "1 + 1 = ?";
KernelFunction myFunction = kernel.CreateFunctionFromPrompt(FunctionDefinition);
await foreach (var content in kernel.InvokeStreamingAsync(myFunction))
{
Console.WriteLine(content.Metadata?.AsJson());
}
}
}