chore: import upstream snapshot with attribution
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This commit is contained in:
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// Copyright (c) Microsoft. All rights reserved.
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using System;
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using OpenAI.Chat;
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using ChatMessage = Microsoft.Extensions.AI.ChatMessage;
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using ChatRole = Microsoft.Extensions.AI.ChatRole;
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using TextContent = Microsoft.Extensions.AI.TextContent;
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namespace Microsoft.Agents.AI.OpenAI.UnitTests.Extensions;
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/// <summary>
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/// Unit tests for the AgentResponseExtensions class that provides OpenAI extension methods.
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/// </summary>
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public sealed class AgentResponseExtensionsTests
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{
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/// <summary>
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/// Verify that AsOpenAIChatCompletion throws ArgumentNullException when response is null.
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/// </summary>
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[Fact]
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public void AsOpenAIChatCompletion_WithNullResponse_ThrowsArgumentNullException()
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{
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// Arrange
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AgentResponse? response = null;
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// Act & Assert
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var exception = Assert.Throws<ArgumentNullException>(
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() => response!.AsOpenAIChatCompletion());
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Assert.Equal("response", exception.ParamName);
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}
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/// <summary>
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/// Verify that AsOpenAIChatCompletion returns the RawRepresentation when it is a ChatCompletion.
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/// </summary>
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[Fact]
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public void AsOpenAIChatCompletion_WithChatCompletionRawRepresentation_ReturnsChatCompletion()
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{
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// Arrange
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ChatCompletion chatCompletion = ModelReaderWriterHelper.CreateChatCompletion("assistant_id", "Hello");
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var responseMessage = new ChatMessage(ChatRole.Assistant, [new TextContent("Hello")]);
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var agentResponse = new AgentResponse([responseMessage])
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{
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RawRepresentation = chatCompletion
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};
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// Act
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ChatCompletion result = agentResponse.AsOpenAIChatCompletion();
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// Assert
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Assert.NotNull(result);
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Assert.Same(chatCompletion, result);
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}
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/// <summary>
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/// Verify that AsOpenAIChatCompletion converts a ChatResponse when RawRepresentation is not a ChatCompletion.
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/// </summary>
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[Fact]
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public void AsOpenAIChatCompletion_WithNonChatCompletionRawRepresentation_ConvertsChatResponse()
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{
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// Arrange
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const string ResponseText = "This is a test response.";
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var responseMessage = new ChatMessage(ChatRole.Assistant, [new TextContent(ResponseText)]);
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var agentResponse = new AgentResponse([responseMessage]);
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// Act
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ChatCompletion result = agentResponse.AsOpenAIChatCompletion();
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// Assert
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Assert.NotNull(result);
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Assert.Single(result.Content);
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Assert.Equal(ResponseText, result.Content[0].Text);
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}
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/// <summary>
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/// Verify that AsOpenAIResponse throws ArgumentNullException when response is null.
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/// </summary>
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[Fact]
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public void AsOpenAIResponse_WithNullResponse_ThrowsArgumentNullException()
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{
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// Arrange
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AgentResponse? response = null;
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// Act & Assert
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var exception = Assert.Throws<ArgumentNullException>(
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() => response!.AsOpenAIResponse());
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Assert.Equal("response", exception.ParamName);
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}
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/// <summary>
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/// Verify that AsOpenAIResponse converts a ChatResponse when RawRepresentation is not a ResponseResult.
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/// </summary>
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[Fact]
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public void AsOpenAIResponse_WithNonResponseResultRawRepresentation_ConvertsChatResponse()
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{
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// Arrange
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const string ResponseText = "This is a test response.";
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var responseMessage = new ChatMessage(ChatRole.Assistant, [new TextContent(ResponseText)]);
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var agentResponse = new AgentResponse([responseMessage]);
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// Act
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var result = agentResponse.AsOpenAIResponse();
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// Assert
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Assert.NotNull(result);
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}
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}
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/// <summary>
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/// Helper class for creating OpenAI model objects using ModelReaderWriter.
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/// </summary>
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internal static class ModelReaderWriterHelper
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{
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public static ChatCompletion CreateChatCompletion(string id, string contentText)
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{
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string json = $$"""
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{
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"id": "{{id}}",
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"object": "chat.completion",
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"created": 1700000000,
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"model": "gpt-4",
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"choices": [
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{
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"index": 0,
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"message": {
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"role": "assistant",
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"content": "{{contentText}}"
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},
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"finish_reason": "stop"
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}
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],
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"usage": {
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"prompt_tokens": 10,
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"completion_tokens": 10,
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"total_tokens": 20
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}
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}
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""";
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return System.ClientModel.Primitives.ModelReaderWriter.Read<ChatCompletion>(BinaryData.FromString(json))!;
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}
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}
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