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analyzeconversations.json
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{
"swagger": "2.0",
"info": {
"title": "Microsoft Cognitive Language Service - Analyze Conversations",
"version": "2023-11-15-preview",
"description": "The language service conversations API is a suite of natural language processing (NLP) skills that can be used to analyze structured conversations (textual or spoken). The synchronous API in this suite accepts a request and mediates among multiple language projects, such as LUIS Generally Available, Question Answering, Conversational Language Understanding, and then calls the best candidate service to handle the request. At last, it returns a response with the candidate service's response as a payload.\\n\\n In some cases, this API needs to forward requests and responses between the caller and an upstream service. The asynchronous APIs in this suite enable tasks like Conversation Summarization and Conversational PII detection.",
"x-typespec-generated": [
{
"emitter": "@azure-tools/typespec-autorest"
}
]
},
"schemes": [
"https"
],
"x-ms-parameterized-host": {
"hostTemplate": "{Endpoint}/language",
"useSchemePrefix": false,
"parameters": [
{
"name": "Endpoint",
"in": "path",
"description": "Supported Cognitive Services endpoint (e.g., https://<resource-name>.api.cognitiveservices.azure.com).",
"required": true,
"type": "string"
}
]
},
"produces": [
"application/json"
],
"consumes": [
"application/json"
],
"security": [
{
"ApiKeyAuth": []
}
],
"securityDefinitions": {
"ApiKeyAuth": {
"type": "apiKey",
"name": "Ocp-Apim-Subscription-Key",
"in": "header"
}
},
"tags": [],
"paths": {
"/:analyze-conversations": {
"post": {
"operationId": "AnalyzeConversations",
"description": "Analyzes the input conversation utterance.",
"parameters": [
{
"$ref": "#/parameters/Azure.Core.Foundations.ApiVersionParameter"
},
{
"name": "body",
"in": "body",
"required": true,
"schema": {
"$ref": "#/definitions/AnalyzeConversationTask"
}
}
],
"responses": {
"200": {
"description": "The request has succeeded.",
"schema": {
"$ref": "#/definitions/AnalyzeConversationTaskResult"
}
},
"default": {
"description": "An unexpected error response.",
"schema": {
"$ref": "#/definitions/ErrorResponse"
},
"headers": {
"x-ms-error-code": {
"type": "string",
"description": "String error code indicating what went wrong."
}
}
}
},
"x-ms-examples": {
"SuccessfulAnalyzeConversations": {
"$ref": "./examples/SuccessfulAnalyzeConversations.json"
},
"SuccessfulAnalyzeConversationsArbitration": {
"$ref": "./examples/SuccessfulAnalyzeConversationsArbitration.json"
},
"SuccessfulAnalyzeConversationsArbitrationDirectTarget": {
"$ref": "./examples/SuccessfulAnalyzeConversationsArbitrationDirectTarget.json"
}
}
}
},
"/analyze-conversations/jobs": {
"post": {
"operationId": "AnalyzeConversationsSubmitJob",
"description": "Analyzes the input conversation utterance.",
"parameters": [
{
"$ref": "#/parameters/Azure.Core.Foundations.ApiVersionParameter"
},
{
"name": "body",
"in": "body",
"required": true,
"schema": {
"$ref": "#/definitions/AnalyzeConversationJobsInput"
}
}
],
"responses": {
"202": {
"description": "The request has been accepted for processing, but processing has not yet completed.",
"headers": {
"Operation-Location": {
"type": "string",
"format": "uri",
"description": "The location for monitoring the operation state."
}
}
},
"default": {
"description": "An unexpected error response.",
"schema": {
"$ref": "#/definitions/ErrorResponse"
},
"headers": {
"x-ms-error-code": {
"type": "string",
"description": "String error code indicating what went wrong."
}
}
}
},
"x-ms-examples": {
"SuccessfulConversationPIIExclusionSubmit": {
"$ref": "./examples/SuccessfulConversationPIIExclusionSubmit.json"
},
"SuccessfulConversationPIIRedactionCharSubmit": {
"$ref": "./examples/SuccessfulConversationPIIRedactionCharSubmit.json"
},
"SuccessfulConversationPIISubmit": {
"$ref": "./examples/SuccessfulConversationPIISubmit.json"
},
"SuccessfulConversationSentimentSubmit": {
"$ref": "./examples/SuccessfulConversationSentimentSubmit.json"
},
"SuccessfulConversationSummarizationTaskSubmit": {
"$ref": "./examples/SuccessfulConversationSummarizationTaskSubmit.json"
},
"SuccessfulConversationSummarySubmit": {
"$ref": "./examples/SuccessfulConversationSummarySubmit.json"
},
"SuccessfulCustomConversationSummarizationTaskSubmit": {
"$ref": "./examples/SuccessfulCustomConversationSummarizationTaskSubmit.json"
}
},
"x-ms-long-running-operation": true
}
},
"/analyze-conversations/jobs/{jobId}": {
"get": {
"operationId": "AnalyzeConversationsJobStatus",
"summary": "Get analysis status and results",
"description": "Get the status of an analysis job. A job can consist of one or more tasks. After all tasks succeed, the job transitions to the succeeded state and results are available for each task.",
"parameters": [
{
"$ref": "#/parameters/Azure.Core.Foundations.ApiVersionParameter"
},
{
"name": "jobId",
"in": "path",
"description": "job ID",
"required": true,
"type": "string",
"format": "uuid"
},
{
"name": "showStats",
"in": "query",
"description": "(Optional) if set to true, response will contain request and document level statistics.",
"required": false,
"type": "boolean"
}
],
"responses": {
"200": {
"description": "The request has succeeded.",
"schema": {
"$ref": "#/definitions/AnalyzeConversationJobState"
}
},
"default": {
"description": "An unexpected error response.",
"schema": {
"$ref": "#/definitions/ErrorResponse"
},
"headers": {
"x-ms-error-code": {
"type": "string",
"description": "String error code indicating what went wrong."
}
}
}
},
"x-ms-examples": {
"SuccessfulConversationPIIExclusionTaskStatusRequest": {
"$ref": "./examples/SuccessfulConversationPIIExclusionTaskStatusRequest.json"
},
"SuccessfulConversationPIIRedactionCharTaskStatusRequest": {
"$ref": "./examples/SuccessfulConversationPIIRedactionCharTaskStatusRequest.json"
},
"SuccessfulConversationPIITaskStatusRequest": {
"$ref": "./examples/SuccessfulConversationPIITaskStatusRequest.json"
},
"SuccessfulConversationSentimentTaskStatusRequest": {
"$ref": "./examples/SuccessfulConversationSentimentTaskStatusRequest.json"
},
"SuccessfulConversationSummarizationTaskResult": {
"$ref": "./examples/SuccessfulConversationSummarizationTaskResult.json"
},
"SuccessfulConversationSummarizationTaskStatusRequest": {
"$ref": "./examples/SuccessfulConversationSummarizationTaskStatusRequest.json"
},
"SuccessfulCustomConversationSummarizationTaskResult": {
"$ref": "./examples/SuccessfulCustomConversationSummarizationTaskResult.json"
}
}
}
},
"/analyze-conversations/jobs/{jobId}:cancel": {
"post": {
"operationId": "AnalyzeConversationsCancelJob",
"summary": "Cancel a long-running Text Analysis conversations job.",
"description": "Cancel a long-running job for text analysis of conversations.",
"parameters": [
{
"$ref": "#/parameters/Azure.Core.Foundations.ApiVersionParameter"
},
{
"name": "jobId",
"in": "path",
"description": "The job ID to cancel.",
"required": true,
"type": "string",
"format": "uuid"
}
],
"responses": {
"202": {
"description": "The request has been accepted for processing, but processing has not yet completed.",
"headers": {
"Operation-Location": {
"type": "string",
"format": "uri",
"description": "The location for monitoring the operation state."
}
}
},
"default": {
"description": "An unexpected error response.",
"schema": {
"$ref": "#/definitions/ErrorResponse"
},
"headers": {
"x-ms-error-code": {
"type": "string",
"description": "String error code indicating what went wrong."
}
}
}
},
"x-ms-examples": {
"SuccessfulAnalyzeConversationsJobsCancelRequest": {
"$ref": "./examples/SuccessfulAnalyzeConversationsJobsCancelRequest.json"
}
},
"x-ms-long-running-operation": true
}
}
},
"definitions": {
"AgeResolution": {
"type": "object",
"description": "Represents the Age entity resolution model.",
"properties": {
"value": {
"type": "number",
"format": "double",
"description": "The numeric value that the extracted text denotes."
},
"unit": {
"$ref": "#/definitions/AgeUnit",
"description": "The Age Unit of measurement"
}
},
"required": [
"value",
"unit"
],
"allOf": [
{
"$ref": "#/definitions/BaseResolution"
}
],
"x-ms-discriminator-value": "AgeResolution"
},
"AgeUnit": {
"type": "string",
"description": "The Age Unit of measurement",
"enum": [
"Unspecified",
"Year",
"Month",
"Week",
"Day"
],
"x-ms-enum": {
"name": "AgeUnit",
"modelAsString": true,
"values": [
{
"name": "Unspecified",
"value": "Unspecified",
"description": "Unspecified age unit"
},
{
"name": "Year",
"value": "Year",
"description": "Year age unit"
},
{
"name": "Month",
"value": "Month",
"description": "Month age unit"
},
{
"name": "Week",
"value": "Week",
"description": "Week age unit"
},
{
"name": "Day",
"value": "Day",
"description": "Day age unit"
}
]
}
},
"AnalysisParameters": {
"type": "object",
"description": "This is the parameter set of either the Orchestration project itself or one of the target services.",
"properties": {
"targetProjectKind": {
"$ref": "#/definitions/targetProjectKind",
"description": "The type of a target service"
},
"apiVersion": {
"type": "string",
"description": "The API version to use when call a specific target service."
}
},
"discriminator": "targetProjectKind",
"required": [
"targetProjectKind"
]
},
"AnalyzeConversationConversationPiiResult": {
"type": "object",
"description": "Result from the personally identifiable information detection and redaction operation performed on a list of conversations.",
"properties": {
"results": {
"$ref": "#/definitions/ConversationPiiResults",
"description": "results"
}
},
"required": [
"results"
],
"allOf": [
{
"$ref": "#/definitions/AnalyzeConversationJobResult"
}
],
"x-ms-discriminator-value": "ConversationalPIIResults"
},
"AnalyzeConversationJobResult": {
"type": "object",
"description": "Container for results of all tasks in the conversation job.",
"properties": {
"lastUpdateDateTime": {
"type": "string",
"format": "date-time",
"description": "The last updated time in UTC for the task."
},
"status": {
"$ref": "#/definitions/State",
"description": "The status of the task at the mentioned last update time."
},
"taskName": {
"type": "string",
"description": "task name"
},
"kind": {
"$ref": "#/definitions/AnalyzeConversationResultsKind",
"description": "discriminator kind"
}
},
"discriminator": "kind",
"required": [
"lastUpdateDateTime",
"status",
"kind"
]
},
"AnalyzeConversationJobState": {
"type": "object",
"description": "Contains the status of the submitted job for analyzing a conversation, along with related statistics.",
"properties": {
"displayName": {
"type": "string",
"description": "display name"
},
"createdDateTime": {
"type": "string",
"format": "date-time",
"description": "Date and time job created"
},
"expirationDateTime": {
"type": "string",
"format": "date-time",
"description": "Date and time job expires"
},
"jobId": {
"$ref": "#/definitions/Azure.Core.uuid",
"description": "job ID",
"readOnly": true
},
"lastUpdatedDateTime": {
"type": "string",
"format": "date-time",
"description": "last updated date and time"
},
"status": {
"$ref": "#/definitions/State",
"description": "status"
},
"errors": {
"type": "array",
"description": "errors",
"items": {
"$ref": "#/definitions/Error"
},
"x-ms-identifiers": []
},
"nextLink": {
"type": "string",
"description": "next link"
},
"tasks": {
"$ref": "#/definitions/Tasks",
"description": "Contains the state for the tasks that are being executed as part of the submitted job for analyzing a conversation."
},
"statistics": {
"$ref": "#/definitions/ConversationRequestStatistics",
"description": "Contains the statistics for the submitted job."
}
},
"required": [
"createdDateTime",
"jobId",
"lastUpdatedDateTime",
"status",
"tasks"
]
},
"AnalyzeConversationJobsInput": {
"type": "object",
"description": "It is a wrap up a Question Answering KB response.",
"properties": {
"displayName": {
"type": "string",
"description": "Display name for the analysis job."
},
"analysisInput": {
"$ref": "#/definitions/MultiLanguageConversationAnalysisInput",
"description": "Analysis Input",
"x-ms-mutability": [
"read",
"create"
]
},
"tasks": {
"type": "array",
"description": "Set of tasks to execute on the input conversation.",
"items": {
"$ref": "#/definitions/AnalyzeConversationLROTask"
},
"x-ms-identifiers": []
}
},
"required": [
"analysisInput",
"tasks"
]
},
"AnalyzeConversationLROTask": {
"type": "object",
"description": "Base class for a long-running conversation input task.",
"properties": {
"taskName": {
"type": "string",
"description": "task name"
},
"kind": {
"$ref": "#/definitions/AnalyzeConversationLROTaskKind",
"description": "Enumeration of supported analysis tasks on a collection of conversations."
}
},
"discriminator": "kind",
"required": [
"kind"
]
},
"AnalyzeConversationLROTaskKind": {
"type": "string",
"description": "Enumeration of supported analysis tasks on a collection of conversations.",
"enum": [
"ConversationalSummarizationTask",
"ConversationalPIITask",
"CustomConversationalSummarizationTask",
"ConversationalSentimentTask"
],
"x-ms-enum": {
"name": "AnalyzeConversationLROTaskKind",
"modelAsString": true,
"values": [
{
"name": "ConversationalSummarizationTask",
"value": "ConversationalSummarizationTask",
"description": "Conversational Summarization Task"
},
{
"name": "ConversationalPIITask",
"value": "ConversationalPIITask",
"description": "Conversational PII Task"
},
{
"name": "CustomConversationalSummarizationTask",
"value": "CustomConversationalSummarizationTask",
"description": "Custom Conversational Summarization Task"
},
{
"name": "ConversationalSentimentTask",
"value": "ConversationalSentimentTask",
"description": "Conversational Sentiment Task"
}
]
}
},
"AnalyzeConversationPiiTask": {
"type": "object",
"description": "Task definition for a PII redaction in conversations.",
"properties": {
"parameters": {
"$ref": "#/definitions/ConversationPiiTaskParameters",
"description": "parameters"
}
},
"allOf": [
{
"$ref": "#/definitions/AnalyzeConversationLROTask"
}
],
"x-ms-discriminator-value": "ConversationalPIITask"
},
"AnalyzeConversationResult": {
"type": "object",
"description": "Represents a conversation analysis response.",
"properties": {
"query": {
"type": "string",
"description": "The conversation utterance given by the caller."
},
"detectedLanguage": {
"type": "string",
"description": "The system detected language for the query in BCP 47 language representation.."
},
"prediction": {
"$ref": "#/definitions/BasePrediction",
"description": "The prediction result of a conversation project."
}
},
"required": [
"query",
"prediction"
]
},
"AnalyzeConversationResultsKind": {
"type": "string",
"description": "Enumeration of results for supported conversation analysis Results.",
"enum": [
"ConversationalSummarizationResults",
"ConversationalPIIResults",
"CustomConversationalSummarizationResults",
"ConversationalSentimentResults"
],
"x-ms-enum": {
"name": "AnalyzeConversationResultsKind",
"modelAsString": true,
"values": [
{
"name": "ConversationalSummarizationResults",
"value": "ConversationalSummarizationResults",
"description": "Conversational Summarization Results"
},
{
"name": "ConversationalPIIResults",
"value": "ConversationalPIIResults",
"description": "Conversational PII Results"
},
{
"name": "CustomConversationalSummarizationResults",
"value": "CustomConversationalSummarizationResults",
"description": "Custom Conversational Summarization Results"
},
{
"name": "ConversationalSentimentResults",
"value": "ConversationalSentimentResults",
"description": "Conversational Sentiment Results"
}
]
}
},
"AnalyzeConversationSentimentResult": {
"type": "object",
"description": "Result from the sentiment analysis operation performed on a list of conversations.",
"properties": {
"results": {
"$ref": "#/definitions/ConversationSentimentResults",
"description": "The result from sentiment analysis operation for each conversation."
}
},
"required": [
"results"
],
"allOf": [
{
"$ref": "#/definitions/AnalyzeConversationJobResult"
}
],
"x-ms-discriminator-value": "ConversationalSentimentResults"
},
"AnalyzeConversationSummarizationResult": {
"type": "object",
"description": "Result for the summarization task on the conversation.",
"properties": {
"results": {
"$ref": "#/definitions/SummaryResult",
"description": "results"
}
},
"required": [
"results"
],
"allOf": [
{
"$ref": "#/definitions/AnalyzeConversationJobResult"
}
],
"x-ms-discriminator-value": "ConversationalSummarizationResults"
},
"AnalyzeConversationSummarizationTask": {
"type": "object",
"description": "Task definition for conversational summarization.",
"properties": {
"parameters": {
"$ref": "#/definitions/ConversationSummarizationTaskParameters",
"description": "parameters"
}
},
"allOf": [
{
"$ref": "#/definitions/AnalyzeConversationLROTask"
}
],
"x-ms-discriminator-value": "ConversationalSummarizationTask"
},
"AnalyzeConversationTask": {
"type": "object",
"description": "The base class of a conversation input task.",
"properties": {
"kind": {
"$ref": "#/definitions/AnalyzeConversationTaskKind",
"description": "The base class of a conversation input task.",
"x-ms-mutability": [
"read",
"create"
]
}
},
"discriminator": "kind",
"required": [
"kind"
]
},
"AnalyzeConversationTaskKind": {
"type": "string",
"description": "Enumeration of supported Conversation tasks.",
"enum": [
"Conversation"
],
"x-ms-enum": {
"name": "AnalyzeConversationTaskKind",
"modelAsString": true,
"values": [
{
"name": "Conversation",
"value": "Conversation",
"description": "Conversation task kind"
}
]
}
},
"AnalyzeConversationTaskResult": {
"type": "object",
"description": "The base class of a conversation input task result.",
"properties": {
"kind": {
"$ref": "#/definitions/AnalyzeConversationTaskResultsKind",
"description": "The base class of a conversation input task result."
}
},
"discriminator": "kind",
"required": [
"kind"
]
},
"AnalyzeConversationTaskResultsKind": {
"type": "string",
"description": "Enumeration of supported conversational task results.",
"enum": [
"ConversationResult"
],
"x-ms-enum": {
"name": "AnalyzeConversationTaskResultsKind",
"modelAsString": true,
"values": [
{
"name": "ConversationResult",
"value": "ConversationResult",
"description": "Conversation result task kind"
}
]
}
},
"AnalyzeConversationalSentimentTask": {
"type": "object",
"description": "Task definition for conversational sentiment.",
"properties": {
"parameters": {
"$ref": "#/definitions/ConversationalSentimentTaskParameters",
"description": "Supported parameters for a conversational sentiment task."
}
},
"allOf": [
{
"$ref": "#/definitions/AnalyzeConversationLROTask"
}
],
"x-ms-discriminator-value": "ConversationalSentimentTask"
},
"AnalyzeCustomConversationSummarizationResult": {
"type": "object",
"description": "Result for the custom summarization task on the conversation.",
"properties": {
"results": {
"$ref": "#/definitions/CustomSummaryResult",
"description": "Custom Summary Result"
}
},
"required": [
"results"
],
"allOf": [
{
"$ref": "#/definitions/AnalyzeConversationJobResult"
}
],
"x-ms-discriminator-value": "CustomConversationalSummarizationResults"
},
"AnalyzeCustomConversationSummarizationTask": {
"type": "object",
"description": "Task definition for custom conversational summarization.",
"properties": {
"parameters": {
"$ref": "#/definitions/CustomConversationSummarizationTaskParameters",
"description": "parameters"
}
},
"allOf": [
{
"$ref": "#/definitions/AnalyzeConversationLROTask"
}
],
"x-ms-discriminator-value": "CustomConversationalSummarizationTask"
},
"AnswerSpan": {
"type": "object",
"description": "Answer span object of QnA.",
"properties": {
"text": {
"type": "string",
"description": "Predicted text of answer span."
},
"confidenceScore": {
"type": "number",
"format": "double",
"description": "Predicted score of answer span, value ranges from 0 to 1.",
"minimum": 0,
"maximum": 1
},
"offset": {
"type": "integer",
"format": "int32",
"description": "The answer span offset from the start of answer."
},
"length": {
"type": "integer",
"format": "int32",
"description": "The length of the answer span."
}
}
},
"AnswersOptions": {
"type": "object",
"description": "Parameters to query a knowledge base.",
"properties": {
"qnaId": {
"type": "integer",
"format": "int32",
"description": "Exact QnA ID to fetch from the knowledge base, this field takes priority over question."
},
"question": {
"type": "string",
"description": "User question to query against the knowledge base."
},
"top": {
"type": "integer",
"format": "int32",
"description": "Max number of answers to be returned for the question."
},
"userId": {
"type": "string",
"description": "Unique identifier for the user."
},
"confidenceScoreThreshold": {
"type": "number",
"format": "double",
"description": "Minimum threshold score for answers, value ranges from 0 to 1.",
"minimum": 0,
"maximum": 1
},
"context": {
"$ref": "#/definitions/KnowledgeBaseAnswerContext",
"description": "Context object with previous QnA's information."
},
"rankerType": {
"$ref": "#/definitions/RankerKind",
"description": "Type of ranker to be used."
},
"filters": {
"$ref": "#/definitions/QueryFilters",
"description": "Filter QnAs based on given metadata list and knowledge base sources."
},
"answerSpanRequest": {
"$ref": "#/definitions/ShortAnswerOptions",
"description": "To configure Answer span prediction feature."
},
"includeUnstructuredSources": {
"type": "boolean",
"description": "(Optional) Flag to enable Query over Unstructured Sources."
}
}
},
"AnswersResult": {
"type": "object",
"description": "Represents List of Question Answers.",
"properties": {
"answers": {
"type": "array",
"description": "Represents Answer Result list.",
"items": {
"$ref": "#/definitions/KnowledgeBaseAnswer"
}
}
}
},
"AreaResolution": {
"type": "object",
"description": "Represents the area entity resolution model.",
"properties": {
"value": {
"type": "number",
"format": "double",
"description": "The numeric value that the extracted text denotes."
},
"unit": {
"$ref": "#/definitions/AreaUnit",
"description": "The area Unit of measurement"
}
},
"required": [
"value",
"unit"
],
"allOf": [
{
"$ref": "#/definitions/BaseResolution"
}
],
"x-ms-discriminator-value": "AreaResolution"
},
"AreaUnit": {
"type": "string",
"description": "The area unit of measurement.",
"enum": [
"Unspecified",
"SquareKilometer",
"SquareHectometer",
"SquareDecameter",
"SquareDecimeter",
"SquareMeter",
"SquareCentimeter",
"SquareMillimeter",
"SquareInch",
"SquareFoot",
"SquareMile",
"SquareYard",
"Acre"
],
"x-ms-enum": {
"name": "AreaUnit",
"modelAsString": true,
"values": [
{
"name": "Unspecified",
"value": "Unspecified",
"description": "Unspecified area unit"
},
{
"name": "SquareKilometer",
"value": "SquareKilometer",
"description": "Square kilometer area unit"
},
{
"name": "SquareHectometer",
"value": "SquareHectometer",
"description": "Square hectometer area unit"
},
{
"name": "SquareDecameter",
"value": "SquareDecameter",
"description": "Square decameter area unit"
},
{
"name": "SquareDecimeter",
"value": "SquareDecimeter",
"description": "Square decimeter area unit"
},
{
"name": "SquareMeter",
"value": "SquareMeter",
"description": "Square meter area unit"
},
{
"name": "SquareCentimeter",
"value": "SquareCentimeter",
"description": "Square centimeter area unit"
},
{
"name": "SquareMillimeter",
"value": "SquareMillimeter",
"description": "Square millimeter area unit"
},
{
"name": "SquareInch",
"value": "SquareInch",
"description": "Square inch area unit"
},
{
"name": "SquareFoot",
"value": "SquareFoot",
"description": "Square foot area unit"
},