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Add May Preview And May GA changes for Analyze ConversationsAurghob/c…
…onvmaypreview ga (Azure#28841) * Add examples and api version for May GA and Preview * Add Aspect related tsp changes * Some API version corrections * Remove Custom Conv Summarization examples from May GA examples * minor api adjustments for other custom conv summarization attributes * Add an example and specifications for entity tags (#1) * compile fixes * Add examples * Examples changes * Changes to remove older preview API version in Analyze conversations * Fix compile error and add compiled swagger json * Fix some avocado and prettier check issues * Fix some more lintdiff and avocado errors * Correct Readme * Fix typespec validation * Address minor documenatation comment --------- Co-authored-by: Aurgho Bhattacharjee <aurghob@microsoft.com> Co-authored-by: nithya4 <13850604+nithya4@users.noreply.github.com>
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63 changes: 63 additions & 0 deletions
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...veservices/Language.Conversations/examples/2024-05-01/SuccessfulAnalyzeConversations.json
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,63 @@ | ||
| { | ||
| "operationId": "AnalyzeConversations", | ||
| "title": "SuccessfulAnalyzeConversations", | ||
| "parameters": { | ||
| "Endpoint": "{Endpoint}", | ||
| "Ocp-Apim-Subscription-Key": "{API key}", | ||
| "Content-Type": "application/json", | ||
| "api-version": "2024-05-01", | ||
| "body": { | ||
| "kind": "Conversation", | ||
| "analysisInput": { | ||
| "conversationItem": { | ||
| "id": "1", | ||
| "participantId": "1", | ||
| "text": "play In the air tonight from Phil Collins" | ||
| } | ||
| }, | ||
| "parameters": { | ||
| "projectName": "{project-name}", | ||
| "deploymentName": "{deployment-name}", | ||
| "stringIndexType": "TextElement_V8" | ||
| } | ||
| } | ||
| }, | ||
| "responses": { | ||
| "200": { | ||
| "headers": {}, | ||
| "body": { | ||
| "kind": "ConversationResult", | ||
| "result": { | ||
| "query": "play In the air tonight from Phil Collins", | ||
| "prediction": { | ||
| "topIntent": "PlayMusic", | ||
| "projectKind": "Conversation", | ||
| "intents": [ | ||
| { | ||
| "category": "PlayMusic", | ||
| "confidenceScore": 1 | ||
| }, | ||
| { | ||
| "category": "SearchCreativeWork", | ||
| "confidenceScore": 0 | ||
| }, | ||
| { | ||
| "category": "AddToPlaylist", | ||
| "confidenceScore": 0 | ||
| } | ||
| ], | ||
| "entities": [ | ||
| { | ||
| "category": "Media.Artist", | ||
| "text": "Phil Collins", | ||
| "offset": 29, | ||
| "length": 12, | ||
| "confidenceScore": 1 | ||
| } | ||
| ] | ||
| } | ||
| } | ||
| } | ||
| } | ||
| } | ||
| } |
76 changes: 76 additions & 0 deletions
76
...Language.Conversations/examples/2024-05-01/SuccessfulAnalyzeConversationsArbitration.json
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,76 @@ | ||
| { | ||
| "operationId": "AnalyzeConversations", | ||
| "title": "SuccessfulAnalyzeConversationsArbitration", | ||
| "parameters": { | ||
| "Endpoint": "{Endpoint}", | ||
| "Ocp-Apim-Subscription-Key": "{API key}", | ||
| "Content-Type": "application/json", | ||
| "api-version": "2024-05-01", | ||
| "body": { | ||
| "kind": "Conversation", | ||
| "analysisInput": { | ||
| "conversationItem": { | ||
| "participantId": "1", | ||
| "id": "1", | ||
| "modality": "text", | ||
| "language": "en-GB", | ||
| "text": "How do I integrate QnA Maker and LUIS?" | ||
| } | ||
| }, | ||
| "parameters": { | ||
| "projectName": "{project-name}", | ||
| "deploymentName": "{deployment-name}", | ||
| "verbose": true, | ||
| "isLoggingEnabled": false, | ||
| "stringIndexType": "TextElement_V8" | ||
| } | ||
| } | ||
| }, | ||
| "responses": { | ||
| "200": { | ||
| "headers": {}, | ||
| "body": { | ||
| "kind": "ConversationResult", | ||
| "result": { | ||
| "query": "trains from London", | ||
| "prediction": { | ||
| "topIntent": "Rail", | ||
| "projectKind": "Orchestration", | ||
| "intents": { | ||
| "Rail": { | ||
| "confidenceScore": 1, | ||
| "targetProjectKind": "Conversation", | ||
| "result": { | ||
| "query": "trains from London", | ||
| "prediction": { | ||
| "topIntent": "Timetable", | ||
| "projectKind": "Conversation", | ||
| "intents": [ | ||
| { | ||
| "category": "Timetable", | ||
| "confidenceScore": 0.99968535 | ||
| }, | ||
| { | ||
| "category": "Locomotive", | ||
| "confidenceScore": 0.000314623 | ||
| } | ||
| ], | ||
| "entities": [] | ||
| } | ||
| } | ||
| }, | ||
| "Tree": { | ||
| "confidenceScore": 0.2641529, | ||
| "targetProjectKind": "QuestionAnswering" | ||
| }, | ||
| "None": { | ||
| "confidenceScore": 0, | ||
| "targetProjectKind": "NonLinked" | ||
| } | ||
| } | ||
| } | ||
| } | ||
| } | ||
| } | ||
| } | ||
| } |
77 changes: 77 additions & 0 deletions
77
...versations/examples/2024-05-01/SuccessfulAnalyzeConversationsArbitrationDirectTarget.json
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,77 @@ | ||
| { | ||
| "operationId": "AnalyzeConversations", | ||
| "title": "SuccessfulAnalyzeConversationsArbitrationDirectTarget", | ||
| "parameters": { | ||
| "Endpoint": "{Endpoint}", | ||
| "Ocp-Apim-Subscription-Key": "{API key}", | ||
| "Content-Type": "application/json", | ||
| "api-version": "2024-05-01", | ||
| "body": { | ||
| "kind": "Conversation", | ||
| "analysisInput": { | ||
| "conversationItem": { | ||
| "text": "Ports and connectors", | ||
| "participantId": "1", | ||
| "id": "1" | ||
| } | ||
| }, | ||
| "parameters": { | ||
| "projectName": "prj1", | ||
| "deploymentName": "dep1", | ||
| "directTarget": "qnaProject", | ||
| "targetProjectParameters": { | ||
| "qnaProject": { | ||
| "targetProjectKind": "QuestionAnswering", | ||
| "callingOptions": { | ||
| "context": { | ||
| "previousUserQuery": "Meet Surface Pro 4", | ||
| "previousQnaId": 4 | ||
| }, | ||
| "top": 1, | ||
| "question": "App Service overview" | ||
| } | ||
| } | ||
| } | ||
| } | ||
| } | ||
| }, | ||
| "responses": { | ||
| "200": { | ||
| "headers": {}, | ||
| "body": { | ||
| "kind": "ConversationResult", | ||
| "result": { | ||
| "query": "Ports and connectors", | ||
| "prediction": { | ||
| "projectKind": "Orchestration", | ||
| "topIntent": "qnaTargetApp", | ||
| "intents": { | ||
| "qnaTargetApp": { | ||
| "targetProjectKind": "QuestionAnswering", | ||
| "confidenceScore": 1, | ||
| "result": { | ||
| "answers": [ | ||
| { | ||
| "questions": [ | ||
| "App Service overview" | ||
| ], | ||
| "answer": "The compute resources you use are determined by the *App Service plan* that you run your apps on.", | ||
| "confidenceScore": 0.7384000000000001, | ||
| "id": 1, | ||
| "source": "https://docs.microsoft.com/en-us/azure/app-service/overview", | ||
| "metadata": {}, | ||
| "dialog": { | ||
| "isContextOnly": false, | ||
| "prompts": [] | ||
| } | ||
| } | ||
| ] | ||
| } | ||
| } | ||
| } | ||
| } | ||
| } | ||
| } | ||
| } | ||
| } | ||
| } |
17 changes: 17 additions & 0 deletions
17
...ge.Conversations/examples/2024-05-01/SuccessfulAnalyzeConversationsJobsCancelRequest.json
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|---|---|---|
| @@ -0,0 +1,17 @@ | ||
| { | ||
| "operationId": "AnalyzeConversationsCancelJob", | ||
| "title": "SuccessfulAnalyzeConversationsJobsCancelRequest", | ||
| "parameters": { | ||
| "Ocp-Apim-Subscription-Key": "{API key}", | ||
| "api-version": "2024-05-01", | ||
| "Endpoint": "{Endpoint}", | ||
| "jobId": "c0f2a446-05d9-48fc-ba8f-3ef4af8d0b18" | ||
| }, | ||
| "responses": { | ||
| "202": { | ||
| "headers": { | ||
| "Operation-Location": "{Endpoint}/language/analyze-conversations/jobs/{jobId}?api-version=2024-05-01" | ||
| } | ||
| } | ||
| } | ||
| } |
76 changes: 76 additions & 0 deletions
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.../Language.Conversations/examples/2024-05-01/SuccessfulConversationPIIExclusionSubmit.json
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
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| { | ||
| "operationId": "AnalyzeConversationsSubmitJob", | ||
| "title": "SuccessfulConversationPIIExclusionSubmit", | ||
| "parameters": { | ||
| "Ocp-Apim-Subscription-Key": "{API key}", | ||
| "api-version": "2024-05-01", | ||
| "Endpoint": "{Endpoint}", | ||
| "jobId": "{Job ID}", | ||
| "body": { | ||
| "displayName": "Redacting PII data from transcribed audio", | ||
| "analysisInput": { | ||
| "conversations": [ | ||
| { | ||
| "id": "1", | ||
| "language": "en", | ||
| "modality": "transcript", | ||
| "domain": "generic", | ||
| "conversationItems": [ | ||
| { | ||
| "participantId": "1", | ||
| "id": "1", | ||
| "text": "Good morning John Doe.", | ||
| "itn": "good morning john doe", | ||
| "maskedItn": "good morning john doe", | ||
| "lexical": "good morning john doe", | ||
| "wordLevelTimings": [ | ||
| { | ||
| "word": "good", | ||
| "offset": 390000, | ||
| "duration": 2700000 | ||
| }, | ||
| { | ||
| "word": "morning", | ||
| "offset": 4500000, | ||
| "duration": 920000 | ||
| }, | ||
| { | ||
| "word": "john", | ||
| "offset": 590000, | ||
| "duration": 2700000 | ||
| }, | ||
| { | ||
| "word": "doe", | ||
| "offset": 6300000, | ||
| "duration": 920000 | ||
| } | ||
| ] | ||
| } | ||
| ] | ||
| } | ||
| ] | ||
| }, | ||
| "tasks": [ | ||
| { | ||
| "taskName": "Conversation PII", | ||
| "kind": "ConversationalPIITask", | ||
| "parameters": { | ||
| "modelVersion": "latest", | ||
| "excludePiiCategories": [ | ||
| "Person" | ||
| ], | ||
| "redactionSource": "lexical", | ||
| "redactAudioTiming": true | ||
| } | ||
| } | ||
| ] | ||
| } | ||
| }, | ||
| "responses": { | ||
| "202": { | ||
| "headers": { | ||
| "Operation-Location": "{Endpoint}/language/analyze-conversation/jobs/{jobId}?api-version=2024-05-01" | ||
| } | ||
| } | ||
| } | ||
| } |
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