swagger: '2.0' info: title: Microsoft Azure Microsoft Cognitive Language Service description: >- The language service API is a suite of natural language processing (NLP) skills built with best-in-class Microsoft machine learning algorithms. The API can be used to analyze unstructured text for tasks such as sentiment analysis, key phrase extraction, language detection and question answering. Further documentation can be found in https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview. version: 2023-04-15-preview paths: {} definitions: ErrorResponse: type: object description: Error response. additionalProperties: false properties: error: description: The error object. $ref: '#/definitions/Error' required: - error Error: type: object description: The error object. additionalProperties: true required: - code - message properties: code: description: One of a server-defined set of error codes. $ref: '#/definitions/ErrorCode' message: type: string description: A human-readable representation of the error. target: type: string description: The target of the error. details: type: array description: >- An array of details about specific errors that led to this reported error. items: $ref: '#/definitions/Error' innererror: description: >- An object containing more specific information than the current object about the error. $ref: '#/definitions/InnerErrorModel' InnerErrorModel: type: object description: >- An object containing more specific information about the error. As per Microsoft One API guidelines - https://github.com/Microsoft/api-guidelines/blob/vNext/Guidelines.md#7102-error-condition-responses. additionalProperties: false required: - code - message properties: code: description: One of a server-defined set of error codes. $ref: '#/definitions/InnerErrorCode' message: type: string description: Error message. details: type: object additionalProperties: type: string description: Error details. target: type: string description: Error target. innererror: description: >- An object containing more specific information than the current object about the error. $ref: '#/definitions/InnerErrorModel' ErrorCode: type: string description: Human-readable error code. x-ms-enum: name: ErrorCode modelAsString: true enum: - InvalidRequest - InvalidArgument - Unauthorized - Forbidden - NotFound - ProjectNotFound - OperationNotFound - AzureCognitiveSearchNotFound - AzureCognitiveSearchIndexNotFound - TooManyRequests - AzureCognitiveSearchThrottling - AzureCognitiveSearchIndexLimitReached - InternalServerError - ServiceUnavailable - Timeout - QuotaExceeded - Conflict - Warning InnerErrorCode: type: string description: Human-readable error code. x-ms-enum: name: InnerErrorCode modelAsString: true enum: - InvalidRequest - InvalidParameterValue - KnowledgeBaseNotFound - AzureCognitiveSearchNotFound - AzureCognitiveSearchThrottling - ExtractionFailure - InvalidRequestBodyFormat - EmptyRequest - MissingInputDocuments - InvalidDocument - ModelVersionIncorrect - InvalidDocumentBatch - UnsupportedLanguageCode - InvalidCountryHint Language: type: string description: >- Language of the text records. This is BCP-47 representation of a language. For example, use "en" for English; "es" for Spanish etc. If not set, use "en" for English as default. RedactionCharacter: type: string description: >- Optional parameter to use a Custom Character to be used for redaction in PII responses. Default character will be * as before. We allow specific ascii characters for redaction. default: '*' x-ms-enum: name: redactionCharacter modelAsString: true enum: - '!' - '#' - $ - '%' - '&' - '*' - + - '-' - '=' - '?' - '@' - ^ - _ - '~' StringIndexType: type: string description: >- Specifies the method used to interpret string offsets. Defaults to Text Elements (Graphemes) according to Unicode v8.0.0. For additional information see https://aka.ms/text-analytics-offsets. default: TextElements_v8 enum: - TextElements_v8 - UnicodeCodePoint - Utf16CodeUnit x-ms-enum: name: StringIndexType modelAsString: true values: - value: TextElements_v8 description: >- Returned offset and length values will correspond to TextElements (Graphemes and Grapheme clusters) confirming to the Unicode 8.0.0 standard. Use this option if your application is written in .Net Framework or .Net Core and you will be using StringInfo. - value: UnicodeCodePoint description: >- Returned offset and length values will correspond to Unicode code points. Use this option if your application is written in a language that support Unicode, for example Python. - value: Utf16CodeUnit description: >- Returned offset and length values will correspond to UTF-16 code units. Use this option if your application is written in a language that support Unicode, for example Java, JavaScript. TaskState: description: Returns the current state of the task. properties: lastUpdateDateTime: description: The last updated time in UTC for the task. format: date-time type: string status: description: The status of the task at the mentioned last update time. enum: - notStarted - running - succeeded - failed - cancelled - cancelling x-ms-enum: modelAsString: true name: State required: - status - lastUpdateDateTime type: object TaskIdentifier: type: object description: Base task object. properties: taskName: type: string TaskParameters: type: object description: Base parameters object for a text analysis task. properties: loggingOptOut: type: boolean default: false PreBuiltTaskParameters: type: object description: Parameters object for a text analysis task using pre-built models. properties: modelVersion: type: string default: latest allOf: - $ref: '#/definitions/TaskParameters' JobState: properties: displayName: type: string createdDateTime: format: date-time type: string expirationDateTime: format: date-time type: string jobId: type: string lastUpdatedDateTime: format: date-time type: string status: enum: - notStarted - running - succeeded - partiallyCompleted - failed - cancelled - cancelling type: string x-ms-enum: modelAsString: true name: State errors: items: $ref: '#/definitions/Error' type: array nextLink: type: string required: - jobId - lastUpdatedDateTime - createdDateTime - status JobErrors: properties: errors: items: $ref: '#/definitions/Error' type: array type: object InputError: type: object description: Contains details of errors encountered during a job execution. required: - id - error properties: id: type: string description: The ID of the input. error: type: object description: Error encountered. $ref: '#/definitions/Error' InputWarning: type: object description: Contains details of warnings encountered during a job execution. required: - code - message properties: code: type: string description: Warning code. message: type: string description: Warning message. targetRef: type: string description: A JSON pointer reference indicating the target object. RequestStatistics: type: object required: - documentsCount - validDocumentsCount - erroneousDocumentsCount - transactionsCount properties: documentsCount: type: integer format: int32 description: Number of documents submitted in the request. validDocumentsCount: type: integer format: int32 description: >- Number of valid documents. This excludes empty, over-size limit or non-supported languages documents. erroneousDocumentsCount: type: integer format: int32 description: >- Number of invalid documents. This includes empty, over-size limit or non-supported languages documents. transactionsCount: type: integer format: int64 description: Number of transactions for the request. additionalProperties: true description: >- if showStats=true was specified in the request this field will contain information about the request payload. PreBuiltResult: type: object properties: errors: type: array description: Errors by document id. items: $ref: '#/definitions/InputError' statistics: $ref: '#/definitions/RequestStatistics' modelVersion: type: string description: This field indicates which model is used for scoring. required: - errors - modelVersion AnswersResult: type: object description: Represents List of Question Answers. additionalProperties: false properties: answers: type: array description: Represents Answer Result list. items: $ref: '#/definitions/KnowledgeBaseAnswer' KnowledgeBaseAnswer: type: object description: Represents knowledge base answer. additionalProperties: false properties: questions: type: array description: List of questions associated with the answer. items: type: string answer: type: string description: Answer text. confidenceScore: type: number format: double x-ms-client-name: confidence description: Answer confidence score, value ranges from 0 to 1. maximum: 1 minimum: 0 id: type: integer x-ms-client-name: qnaId description: ID of the QnA result. format: int32 source: type: string description: Source of QnA result. metadata: type: object description: >- Metadata associated with the answer, useful to categorize or filter question answers. additionalProperties: type: string dialog: type: object $ref: '#/definitions/KnowledgeBaseAnswerDialog' answerSpan: type: object x-ms-client-name: shortAnswer description: Answer span object of QnA with respect to user's question. $ref: '#/definitions/AnswerSpan' KnowledgeBaseAnswerDialog: type: object description: Dialog associated with Answer. properties: isContextOnly: type: boolean description: >- To mark if a prompt is relevant only with a previous question or not. If true, do not include this QnA as search result for queries without context; otherwise, if false, ignores context and includes this QnA in search result. prompts: type: array description: List of prompts associated with the answer. maxItems: 20 items: $ref: '#/definitions/KnowledgeBaseAnswerPrompt' KnowledgeBaseAnswerPrompt: type: object description: Prompt for an answer. properties: displayOrder: type: integer description: Index of the prompt - used in ordering of the prompts. format: int32 qnaId: type: integer description: QnA ID corresponding to the prompt. format: int32 displayText: type: string description: Text displayed to represent a follow up question prompt. maxLength: 200 AnswerSpan: type: object description: Answer span object of QnA. additionalProperties: false properties: text: type: string description: Predicted text of answer span. confidenceScore: type: number x-ms-client-name: confidence description: Predicted score of answer span, value ranges from 0 to 1. format: double maximum: 1 minimum: 0 offset: type: integer description: The answer span offset from the start of answer. format: int32 length: type: integer description: The length of the answer span. format: int32 AnswersOptions: type: object description: Parameters to query a knowledge base. additionalProperties: false properties: qnaId: type: integer description: >- Exact QnA ID to fetch from the knowledge base, this field takes priority over question. format: int32 question: type: string description: User question to query against the knowledge base. top: type: integer description: Max number of answers to be returned for the question. format: int32 userId: type: string description: Unique identifier for the user. confidenceScoreThreshold: type: number format: double x-ms-client-name: confidenceThreshold description: Minimum threshold score for answers, value ranges from 0 to 1. maximum: 1 minimum: 0 context: x-ms-client-name: answerContext description: Context object with previous QnA's information. $ref: '#/definitions/KnowledgeBaseAnswerContext' rankerType: type: string x-ms-client-name: rankerKind description: Type of ranker to be used. x-ms-enum: name: RankerKind modelAsString: true values: - value: QuestionOnly description: Question only ranker. - value: Default description: Default ranker. enum: - Default - QuestionOnly filters: description: Filter QnAs based on given metadata list and knowledge base sources. $ref: '#/definitions/QueryFilters' answerSpanRequest: x-ms-client-name: shortAnswerOptions description: To configure Answer span prediction feature. $ref: '#/definitions/ShortAnswerOptions' includeUnstructuredSources: type: boolean description: (Optional) Flag to enable Query over Unstructured Sources. KnowledgeBaseAnswerContext: type: object description: Context object with previous QnA's information. additionalProperties: false required: - previousQnaId properties: previousQnaId: type: integer description: Previous turn top answer result QnA ID. format: int32 previousUserQuery: type: string x-ms-client-name: previousQuestion description: Previous user query. QueryFilters: type: object description: filters over knowledge base. additionalProperties: false properties: metadataFilter: type: object $ref: '#/definitions/MetadataFilter' sourceFilter: type: object $ref: '#/definitions/SourceFilter' logicalOperation: type: string description: Logical operation used to join metadata filter with source filter. $ref: '#/definitions/LogicalOperationKind' default: AND MetadataFilter: type: object description: Find QnAs that are associated with the given list of metadata. additionalProperties: false properties: metadata: type: array items: $ref: '#/definitions/MetadataRecord' logicalOperation: type: string description: Operation used to join metadata filters. $ref: '#/definitions/LogicalOperationKind' default: AND MetadataRecord: type: object description: Object to provide the key value pair for each metadata. additionalProperties: false required: - key - value properties: key: type: string description: Metadata Key from Metadata dictionary used in the QnA. value: type: string description: Metadata Value from Metadata dictionary used in the QnA. SourceFilter: type: array description: >- Find QnAs that are associated with any of the given list of sources in knowledge base. items: type: string LogicalOperationKind: type: string description: Set to 'OR' or 'AND' for using corresponding logical operation. x-ms-enum: name: LogicalOperationKind modelAsString: true enum: - AND - OR ShortAnswerOptions: type: object description: To configure Answer span prediction feature. additionalProperties: false required: - enable properties: enable: type: boolean description: Enable or disable Answer Span prediction. enum: - true x-ms-enum: name: enable modelAsString: false confidenceScoreThreshold: type: number format: double x-ms-client-name: confidenceThreshold description: >- Minimum threshold score required to include an answer span, value ranges from 0 to 1. maximum: 1 minimum: 0 topAnswersWithSpan: type: integer x-ms-client-name: top description: >- Number of Top answers to be considered for span prediction from 1 to 10. format: int32 maximum: 10 minimum: 1 Sentiment: type: string description: Predicted sentiment. enum: - positive - neutral - negative - mixed x-ms-enum: name: TextSentiment modelAsString: true values: - value: positive description: Positive sentiment. - value: neutral description: Neutral sentiment. - value: negative description: Negative sentiment. - value: mixed description: Mixed sentiment. SentimentConfidenceScores: type: object required: - positive - neutral - negative properties: positive: type: number format: double description: Confidence score for positive sentiment neutral: type: number format: double description: Confidence score for neutral sentiment negative: type: number format: double description: Confidence score for negative sentiment description: >- Represents the confidence scores between 0 and 1 across all sentiment classes: positive, neutral, negative. AbstractiveSummarizationTaskParametersBase: type: object description: Supported parameters for an Abstractive Summarization task. properties: sentenceCount: type: integer format: int32 description: >- It controls the approximate number of sentences in the output summaries. stringIndexType: $ref: '#/definitions/StringIndexType' SummaryContext: type: object description: The context of the summary. required: - offset - length properties: offset: type: integer format: int32 description: >- Start position for the context. Use of different 'stringIndexType' values can affect the offset returned. length: type: integer format: int32 description: >- The length of the context. Use of different 'stringIndexType' values can affect the length returned. CustomTaskParameters: type: object description: Parameters object for a text analysis task using custom models. properties: projectName: type: string description: This field indicates the project name for the model. deploymentName: type: string description: This field indicates the deployment name for the model. allOf: - $ref: '#/definitions/TaskParameters' required: - projectName - deploymentName CustomResult: type: object properties: errors: type: array description: Errors by document id. items: $ref: '#/definitions/DocumentError' statistics: $ref: '#/definitions/RequestStatistics' projectName: type: string description: This field indicates the project name for the model. deploymentName: type: string description: This field indicates the deployment name for the model. required: - errors - projectName - deploymentName DocumentError: type: object required: - id - error properties: id: type: string description: Document Id. error: type: object description: Document Error. $ref: '#/definitions/Error' parameters: Endpoint: name: endpoint description: >- Supported Cognitive Services endpoint (e.g., https://.api.cognitiveservices.azure.com). x-ms-parameter-location: client required: true type: string format: url in: path x-ms-skip-url-encoding: true ProjectNameQueryParameter: name: projectName in: query required: true type: string description: The name of the project to use. x-ms-parameter-location: method ProjectNamePathParameter: name: projectName in: path required: true type: string maxLength: 100 description: The name of the project to use. x-ms-parameter-location: method DeploymentNameQueryParameter: name: deploymentName in: query required: true type: string description: The name of the specific deployment of the project to use. x-ms-parameter-location: method DeploymentNamePathParameter: name: deploymentName in: path required: true type: string description: The name of the specific deployment of the project to use. x-ms-parameter-location: method ApiVersionParameter: name: api-version in: query required: true type: string description: Client API version. TopParameter: name: top in: query description: The maximum number of resources to return from the collection. type: integer format: int32 x-ms-parameter-location: method SkipParameter: name: skip in: query description: An offset into the collection of the first resource to be returned. type: integer format: int32 x-ms-parameter-location: method MaxPageSizeParameter: name: maxpagesize in: query description: The maximum number of resources to include in a single response. type: integer format: int32 x-ms-parameter-location: method ShowStats: name: showStats in: query description: >- (Optional) if set to true, response will contain request and document level statistics. type: boolean required: false x-ms-parameter-location: method JobId: description: Job ID format: uuid in: path name: jobId required: true type: string x-ms-parameter-location: method