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chore: import upstream snapshot with attribution
2026-07-13 13:21:23 +08:00

150 lines
5.0 KiB
C#

// Copyright (c) Microsoft. All rights reserved.
using Microsoft.SemanticKernel;
using Microsoft.SemanticKernel.Agents.OpenAI;
using Microsoft.SemanticKernel.ChatCompletion;
using Microsoft.SemanticKernel.PromptTemplates.Handlebars;
using Microsoft.SemanticKernel.PromptTemplates.Liquid;
using OpenAI.Assistants;
namespace Agents;
/// <summary>
/// Demonstrate parameterized template instruction for <see cref="OpenAIAssistantAgent"/>.
/// </summary>
public class OpenAIAssistant_Templating(ITestOutputHelper output) : BaseAssistantTest(output)
{
private static readonly (string Input, string? Style)[] s_inputs =
[
(Input: "Home cooking is great.", Style: null),
(Input: "Talk about world peace.", Style: "iambic pentameter"),
(Input: "Say something about doing your best.", Style: "e. e. cummings"),
(Input: "What do you think about having fun?", Style: "old school rap")
];
[Fact]
public async Task InvokeAgentWithInstructionsAsync()
{
// Define the assistant
Assistant assistant =
await this.AssistantClient.CreateAssistantAsync(
this.Model,
instructions:
"""
Write a one verse poem on the requested topic in the styles of {{$style}}.
Always state the requested style of the poem.
""",
metadata: SampleMetadata);
// Create the agent
OpenAIAssistantAgent agent = new(assistant, this.AssistantClient)
{
Arguments = new()
{
{"style", "haiku"}
},
};
await InvokeAssistantAgentWithTemplateAsync(agent);
}
[Fact]
public async Task InvokeAgentWithKernelTemplateAsync()
{
// Default factory is KernelPromptTemplateFactory
await InvokeAssistantAgentWithTemplateAsync(
"""
Write a one verse poem on the requested topic in the styles of {{$style}}.
Always state the requested style of the poem.
""",
PromptTemplateConfig.SemanticKernelTemplateFormat,
new KernelPromptTemplateFactory());
}
[Fact]
public async Task InvokeAgentWithHandlebarsTemplateAsync()
{
await InvokeAssistantAgentWithTemplateAsync(
"""
Write a one verse poem on the requested topic in the styles of {{style}}.
Always state the requested style of the poem.
""",
HandlebarsPromptTemplateFactory.HandlebarsTemplateFormat,
new HandlebarsPromptTemplateFactory());
}
[Fact]
public async Task InvokeAgentWithLiquidTemplateAsync()
{
await InvokeAssistantAgentWithTemplateAsync(
"""
Write a one verse poem on the requested topic in the styles of {{style}}.
Always state the requested style of the poem.
""",
LiquidPromptTemplateFactory.LiquidTemplateFormat,
new LiquidPromptTemplateFactory());
}
private async Task InvokeAssistantAgentWithTemplateAsync(
string instructionTemplate,
string templateFormat,
IPromptTemplateFactory templateFactory)
{
PromptTemplateConfig config = new()
{
Template = instructionTemplate,
TemplateFormat = templateFormat,
};
// Define the assistant
Assistant assistant =
await this.AssistantClient.CreateAssistantFromTemplateAsync(
this.Model,
config,
metadata: SampleMetadata);
// Create the agent
OpenAIAssistantAgent agent = new(assistant, this.AssistantClient, plugins: null, templateFactory, templateFormat)
{
Arguments = new()
{
{"style", "haiku"}
},
};
await InvokeAssistantAgentWithTemplateAsync(agent);
}
private async Task InvokeAssistantAgentWithTemplateAsync(OpenAIAssistantAgent agent)
{
// Create a thread for the agent conversation.
OpenAIAssistantAgentThread thread = new(this.AssistantClient, metadata: SampleMetadata);
try
{
// Respond to user input
foreach ((string input, string? style) in s_inputs)
{
ChatMessageContent request = new(AuthorRole.User, input);
this.WriteAgentChatMessage(request);
KernelArguments? arguments = null;
if (!string.IsNullOrWhiteSpace(style))
{
arguments = new() { { "style", style } };
}
await foreach (ChatMessageContent message in agent.InvokeAsync(request, thread, options: new() { KernelArguments = arguments }))
{
this.WriteAgentChatMessage(message);
}
}
}
finally
{
await thread.DeleteAsync();
await this.AssistantClient.DeleteAssistantAsync(agent.Id);
}
}
}