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[AutoPR Azure.AI.Language.Documents] add new features for Conversation Runtime #11243

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[AutoPR Azure.AI.Language.Documents] add new features for Conversation Runtime #11243

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8 changes: 4 additions & 4 deletions ...itivelanguage/Azure.AI.Language.Conversations/src/Generated/ConversationsClientOptions.cs
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404 changes: 265 additions & 139 deletions ...nitivelanguage/Azure.AI.Language.Conversations/src/Generated/ConversationsModelFactory.cs
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232 changes: 232 additions & 0 deletions ...anguage/Azure.AI.Language.Conversations/src/Generated/Docs/ConversationAnalysisClient.xml
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Original file line number Diff line number Diff line change
Expand Up @@ -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"),
Expand Down Expand Up @@ -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"),
Expand Down Expand Up @@ -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",
Expand Down Expand Up @@ -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",
Expand Down
1 change: 1 addition & 0 deletions ...guage.Conversations/src/Generated/Models/AnalyzeConversationActionResult.Serialization.cs
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2 changes: 1 addition & 1 deletion ...e/Azure.AI.Language.Conversations/src/Generated/Models/AnalyzeConversationActionResult.cs
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1 change: 1 addition & 0 deletions ....AI.Language.Conversations/src/Generated/Models/AnalyzeConversationInput.Serialization.cs
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2 changes: 1 addition & 1 deletion ...language/Azure.AI.Language.Conversations/src/Generated/Models/AnalyzeConversationInput.cs
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3 changes: 3 additions & 0 deletions ...uage/Azure.AI.Language.Conversations/src/Generated/Models/AnalyzeConversationInputKind.cs
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17 changes: 16 additions & 1 deletion ...age.Conversations/src/Generated/Models/AnalyzeConversationOperationInput.Serialization.cs
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