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CodeGen from PR 33086 in Azure/azure-rest-api-specs
Merge 40c0c95ee1a04d1c484b9b28f4fcc4b7c28854b9 into 271675c3e8e65a2116b3cf9d398eefcae8111df9
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‎sdk/cognitivelanguage/Azure.AI.Language.Conversations/src/Generated/ConversationsClientOptions.cs‎

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‎sdk/cognitivelanguage/Azure.AI.Language.Conversations/src/Generated/ConversationsModelFactory.cs‎

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‎sdk/cognitivelanguage/Azure.AI.Language.Conversations/src/Generated/Docs/ConversationAnalysisClient.xml‎

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@@ -9,6 +9,32 @@ Uri endpoint = new Uri("<endpoint>");
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AzureKeyCredential credential = new AzureKeyCredential("<key>");
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ConversationAnalysisClient client = new ConversationAnalysisClient(endpoint, credential);
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AnalyzeConversationInput analyzeConversationInput = new ConversationalAITask(new ConversationalAIAnalysisInput(new AIConversation[]
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{
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new AIConversation("order", InputModality.Text, "en", new ConversationalAIItem[]
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{
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new ConversationalAIItem("1", "user", "Hi!"),
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new ConversationalAIItem("2", "bot", "Hello, how can I help you?"),
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new ConversationalAIItem("3", "user", "I would like to book a flight from Paris to Berlin on Oct 10th."),
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new ConversationalAIItem("4", "bot", "Do you have any airline preference?"),
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new ConversationalAIItem("5", "user", "No."),
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new ConversationalAIItem("6", "user", "I like New York and Boston."),
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new ConversationalAIItem("7", "user", "Actualy, change the destination to New York."),
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new ConversationalAIItem("8", "user", "Wait, I do not like the food in New York."),
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new ConversationalAIItem("9", "user", "Ok, change the destination back to Berlin.")
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})
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}), new ConversationalAIInputParameters("project1", "deployment1")
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{
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StringIndexType = StringIndexType.Utf16CodeUnit,
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});
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Response<AnalyzeConversationActionResult> response = await client.AnalyzeConversationAsync(analyzeConversationInput);
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]]></code>
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This sample shows how to call AnalyzeConversationAsync.
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<code><![CDATA[
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Uri endpoint = new Uri("<endpoint>");
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AzureKeyCredential credential = new AzureKeyCredential("<key>");
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ConversationAnalysisClient client = new ConversationAnalysisClient(endpoint, credential);
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AnalyzeConversationInput analyzeConversationInput = new ConversationLanguageUnderstandingInput(new ConversationAnalysisInput(new TextConversationItem("1", "1", "Book a flight to Seattle on Oct 10th")), new ConversationLanguageUnderstandingActionContent("{project-name}", "{deployment-name}")
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{
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StringIndexType = new StringIndexType("TextElement_V8"),
@@ -69,6 +95,32 @@ Uri endpoint = new Uri("<endpoint>");
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AzureKeyCredential credential = new AzureKeyCredential("<key>");
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ConversationAnalysisClient client = new ConversationAnalysisClient(endpoint, credential);
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AnalyzeConversationInput analyzeConversationInput = new ConversationalAITask(new ConversationalAIAnalysisInput(new AIConversation[]
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{
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new AIConversation("order", InputModality.Text, "en", new ConversationalAIItem[]
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{
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new ConversationalAIItem("1", "user", "Hi!"),
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new ConversationalAIItem("2", "bot", "Hello, how can I help you?"),
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new ConversationalAIItem("3", "user", "I would like to book a flight from Paris to Berlin on Oct 10th."),
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new ConversationalAIItem("4", "bot", "Do you have any airline preference?"),
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new ConversationalAIItem("5", "user", "No."),
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new ConversationalAIItem("6", "user", "I like New York and Boston."),
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new ConversationalAIItem("7", "user", "Actualy, change the destination to New York."),
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new ConversationalAIItem("8", "user", "Wait, I do not like the food in New York."),
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new ConversationalAIItem("9", "user", "Ok, change the destination back to Berlin.")
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})
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}), new ConversationalAIInputParameters("project1", "deployment1")
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{
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StringIndexType = StringIndexType.Utf16CodeUnit,
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});
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Response<AnalyzeConversationActionResult> response = client.AnalyzeConversation(analyzeConversationInput);
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]]></code>
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This sample shows how to call AnalyzeConversation.
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<code><![CDATA[
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Uri endpoint = new Uri("<endpoint>");
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AzureKeyCredential credential = new AzureKeyCredential("<key>");
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ConversationAnalysisClient client = new ConversationAnalysisClient(endpoint, credential);
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AnalyzeConversationInput analyzeConversationInput = new ConversationLanguageUnderstandingInput(new ConversationAnalysisInput(new TextConversationItem("1", "1", "Book a flight to Seattle on Oct 10th")), new ConversationLanguageUnderstandingActionContent("{project-name}", "{deployment-name}")
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{
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StringIndexType = new StringIndexType("TextElement_V8"),
@@ -129,6 +181,96 @@ Uri endpoint = new Uri("<endpoint>");
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AzureKeyCredential credential = new AzureKeyCredential("<key>");
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ConversationAnalysisClient client = new ConversationAnalysisClient(endpoint, credential);
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using RequestContent content = RequestContent.Create(new
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{
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kind = "ConversationalAI",
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parameters = new
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{
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projectName = "project1",
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deploymentName = "deployment1",
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stringIndexType = "Utf16CodeUnit",
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},
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analysisInput = new
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{
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conversations = new object[]
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{
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new
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{
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id = "order",
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language = "en",
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modality = "text",
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conversationItems = new object[]
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{
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new
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{
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participantId = "user",
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id = "1",
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text = "Hi!",
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},
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new
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{
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participantId = "bot",
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id = "2",
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text = "Hello, how can I help you?",
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},
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new
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{
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participantId = "user",
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id = "3",
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text = "I would like to book a flight from Paris to Berlin on Oct 10th.",
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},
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new
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{
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participantId = "bot",
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id = "4",
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text = "Do you have any airline preference?",
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},
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new
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{
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participantId = "user",
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id = "5",
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text = "No.",
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},
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new
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{
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participantId = "user",
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id = "6",
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text = "I like New York and Boston.",
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},
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new
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{
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participantId = "user",
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id = "7",
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text = "Actualy, change the destination to New York.",
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},
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new
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{
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participantId = "user",
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id = "8",
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text = "Wait, I do not like the food in New York.",
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},
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new
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{
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participantId = "user",
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id = "9",
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text = "Ok, change the destination back to Berlin.",
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}
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},
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}
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},
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},
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});
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Response response = await client.AnalyzeConversationAsync(content);
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JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
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Console.WriteLine(result.GetProperty("kind").ToString());
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]]></code>
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This sample shows how to call AnalyzeConversationAsync and parse the result.
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<code><![CDATA[
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Uri endpoint = new Uri("<endpoint>");
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AzureKeyCredential credential = new AzureKeyCredential("<key>");
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ConversationAnalysisClient client = new ConversationAnalysisClient(endpoint, credential);
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using RequestContent content = RequestContent.Create(new
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{
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kind = "Conversation",
@@ -243,6 +385,96 @@ Uri endpoint = new Uri("<endpoint>");
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AzureKeyCredential credential = new AzureKeyCredential("<key>");
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ConversationAnalysisClient client = new ConversationAnalysisClient(endpoint, credential);
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using RequestContent content = RequestContent.Create(new
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{
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kind = "ConversationalAI",
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parameters = new
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{
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projectName = "project1",
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deploymentName = "deployment1",
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stringIndexType = "Utf16CodeUnit",
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},
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analysisInput = new
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{
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conversations = new object[]
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{
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new
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{
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id = "order",
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language = "en",
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modality = "text",
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conversationItems = new object[]
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{
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new
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{
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participantId = "user",
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id = "1",
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text = "Hi!",
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},
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new
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{
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participantId = "bot",
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id = "2",
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text = "Hello, how can I help you?",
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},
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new
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{
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participantId = "user",
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id = "3",
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text = "I would like to book a flight from Paris to Berlin on Oct 10th.",
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},
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new
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{
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participantId = "bot",
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id = "4",
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text = "Do you have any airline preference?",
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},
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new
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{
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participantId = "user",
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id = "5",
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text = "No.",
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},
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new
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{
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participantId = "user",
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id = "6",
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text = "I like New York and Boston.",
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},
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new
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{
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participantId = "user",
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id = "7",
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text = "Actualy, change the destination to New York.",
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},
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new
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{
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participantId = "user",
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id = "8",
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text = "Wait, I do not like the food in New York.",
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},
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new
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{
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participantId = "user",
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id = "9",
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text = "Ok, change the destination back to Berlin.",
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}
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},
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}
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},
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},
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});
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Response response = client.AnalyzeConversation(content);
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JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
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Console.WriteLine(result.GetProperty("kind").ToString());
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]]></code>
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This sample shows how to call AnalyzeConversation and parse the result.
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<code><![CDATA[
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Uri endpoint = new Uri("<endpoint>");
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AzureKeyCredential credential = new AzureKeyCredential("<key>");
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ConversationAnalysisClient client = new ConversationAnalysisClient(endpoint, credential);
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using RequestContent content = RequestContent.Create(new
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{
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kind = "Conversation",

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