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Tweaks for Evaluate AI Responses tests (#45072)
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  • docs/ai/quickstarts/snippets/evaluate-ai-responses

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docs/ai/quickstarts/snippets/evaluate-ai-responses/MyTests.cs

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@@ -10,7 +10,7 @@ public sealed class MyTests
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// <SnippetPrivateMembers>
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private static ChatConfiguration? s_chatConfiguration;
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private static IList<ChatMessage> s_messages = [
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new ChatMessage(
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new ChatMessage(
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ChatRole.System,
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"""
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You're an AI assistant that can answer questions related to astronomy.
@@ -28,7 +28,7 @@ Keep your responses concise and try to stay under 100 words.
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public static async Task InitializeAsync(TestContext _)
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{
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/// Set up the <see cref="ChatConfiguration"/>,
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// which includes the <see cref="IChatClient"/> that the
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/// which includes the <see cref="IChatClient"/> that the
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/// evaluator uses to communicate with the model.
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s_chatConfiguration = GetOllamaChatConfiguration();
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@@ -39,7 +39,7 @@ public static async Task InitializeAsync(TestContext _)
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ResponseFormat = ChatResponseFormat.Text
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};
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/// Fetch the response to be evaluated
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// Fetch the response to be evaluated
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// and store it in a static variable.
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ChatResponse response = await s_chatConfiguration.ChatClient.GetResponseAsync(s_messages, chatOptions);
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s_response = response.Message;
@@ -49,7 +49,7 @@ public static async Task InitializeAsync(TestContext _)
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// <SnippetGetChatConfig>
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private static ChatConfiguration GetOllamaChatConfiguration()
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{
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/// Get a chat client for the Ollama endpoint.
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// Get a chat client for the Ollama endpoint.
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IChatClient client =
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new OllamaChatClient(
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new Uri("http://localhost:11434"),
@@ -72,7 +72,7 @@ public async Task TestCoherence()
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/// Retrieve the score for coherence from the <see cref="EvaluationResult"/>.
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NumericMetric coherence = result.Get<NumericMetric>(CoherenceEvaluator.CoherenceMetricName);
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/// Validate the default interpretation
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// Validate the default interpretation
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// for the returned coherence metric.
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Assert.IsFalse(coherence.Interpretation!.Failed);
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Assert.IsTrue(coherence.Interpretation.Rating is EvaluationRating.Good or EvaluationRating.Exceptional);

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