CodeGen from PR 33086 in Azure/azure-rest-api-specs

Merge 5b916b1cab461d24bc6e001cd01bf4d3f87a7231 into 34cec471c9b9141a6ddf0b2a4813656f3351b4d4

Author: SDKAuto

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

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