RingCentral Transcribe and Summarize a Call Recording

arazzo: 1.0.1
info:
  title: RingCentral Transcribe and Summarize a Call Recording
  summary: Run speech-to-text with speaker diarization on a recording, poll the async job, then summarize the resulting utterances.
  description: >-
    RingCentral's AI API is asynchronous: audio and text operations return `202`
    with a `jobId`, and results are collected either from a webhook callback or by
    polling the shared job status endpoint. This workflow chains the two AI
    operations an integrator actually needs to turn a call recording into
    reviewable intelligence. Speech-to-text runs with speaker diarization enabled
    so the transcript comes back segmented into per-speaker utterances, the job is
    polled to completion, and those utterances are fed directly into conversational
    summarization, which is polled in turn. Every step spells out its request
    inline so the flow can be read and executed without opening the underlying
    OpenAPI description.
  version: 1.0.0
sourceDescriptions:
- name: ringcentralPlatform
  url: ../openapi/ringcentral-platform-openapi.yml
  type: openapi
workflows:
- workflowId: transcribe-and-summarize-recording
  summary: Transcribe a call recording with diarization and produce a conversational summary.
  description: >-
    Submits a publicly reachable audio file for asynchronous speech-to-text with
    speaker diarization, polls until the transcription job succeeds, submits the
    per-speaker utterances for summarization, and polls until the summary is ready.
  inputs:
    type: object
    required:
    - contentUri
    properties:
      contentUri:
        type: string
        format: uri
        description: >-
          Publicly facing URI of the audio to analyze. The RingCentral AI service
          fetches the media from this location.
      encoding:
        type: string
        default: Mp3
        description: >-
          Encoding of the source audio. One of Mpeg, Mp4, Wav, Webm, Webp, Aac,
          Avi, Ogg.
      languageCode:
        type: string
        default: en-US
        description: Language spoken in the audio (e.g. "en-US").
      speakerCount:
        type: integer
        description: >-
          Number of speakers in the recording. Omit when unknown and let the
          service detect it.
      summaryType:
        type: string
        default: AbstractiveShort
        description: >-
          Type of summary to compute. One of Extractive, AbstractiveShort,
          AbstractiveLong, AbstractiveAll, All.
  steps:
  - stepId: submitTranscription
    description: >-
      Submit the recording for asynchronous speech-to-text. Diarization and
      punctuation are enabled so the transcript is returned as clean, per-speaker
      utterances rather than an undifferentiated word stream. RingCentral responds
      202 with the job id.
    operationId: caiSpeechToText
    requestBody:
      contentType: application/json
      payload:
        contentUri: $inputs.contentUri
        encoding: $inputs.encoding
        languageCode: $inputs.languageCode
        source: RingCentral
        speakerCount: $inputs.speakerCount
        enableSpeakerDiarization: true
        enablePunctuation: true
    successCriteria:
    - condition: $statusCode == 202
    outputs:
      transcriptionJobId: $response.body#/jobId
  - stepId: pollTranscription
    description: >-
      Poll the shared AI job status endpoint until the transcription job reports a
      terminal status. On success the response carries the transcript, the
      per-speaker utterances, and an overall confidence score.
    operationId: caiJobStatusGet
    parameters:
    - name: jobId
      in: path
      value: $steps.submitTranscription.outputs.transcriptionJobId
    successCriteria:
    - condition: $statusCode == 200
    outputs:
      status: $response.body#/status
      transcript: $response.body#/response/transcript
      utterances: $response.body#/response/utterances
      speakerCount: $response.body#/response/speakerCount
      confidence: $response.body#/response/confidence
      completionTime: $response.body#/completionTime
    onSuccess:
    - name: transcriptionStillRunning
      type: goto
      stepId: pollTranscription
      criteria:
      - context: $response.body
        condition: $.completionTime == null
        type: jsonpath
    - name: transcriptionSucceeded
      type: goto
      stepId: submitSummary
      criteria:
      - context: $response.body
        condition: $.status == 'Success'
        type: jsonpath
    - name: transcriptionFailed
      type: end
      criteria:
      - context: $response.body
        condition: $.status == 'Fail'
        type: jsonpath
  - stepId: submitSummary
    description: >-
      Feed the diarized utterances straight into conversational summarization. The
      utterance objects returned by speech-to-text already carry the speakerId,
      text, start, and end fields this operation requires.
    operationId: caiSummarize
    requestBody:
      contentType: application/json
      payload:
        summaryType: $inputs.summaryType
        utterances: $steps.pollTranscription.outputs.utterances
    successCriteria:
    - condition: $statusCode == 202
    outputs:
      summaryJobId: $response.body#/jobId
  - stepId: pollSummary
    description: >-
      Poll the same job status endpoint for the summarization job and collect the
      finished summary.
    operationId: caiJobStatusGet
    parameters:
    - name: jobId
      in: path
      value: $steps.submitSummary.outputs.summaryJobId
    successCriteria:
    - condition: $statusCode == 200
    outputs:
      status: $response.body#/status
      summaries: $response.body#/response
      completionTime: $response.body#/completionTime
    onSuccess:
    - name: summaryStillRunning
      type: goto
      stepId: pollSummary
      criteria:
      - context: $response.body
        condition: $.completionTime == null
        type: jsonpath
  outputs:
    transcriptionJobId: $steps.submitTranscription.outputs.transcriptionJobId
    transcript: $steps.pollTranscription.outputs.transcript
    utterances: $steps.pollTranscription.outputs.utterances
    confidence: $steps.pollTranscription.outputs.confidence
    summaryJobId: $steps.submitSummary.outputs.summaryJobId
    summaries: $steps.pollSummary.outputs.summaries