openapi.yml

openapi: 3.1.0

info:
  title: AssemblyAI API
  description: AssemblyAI API
  version: 1.3.4
  termsOfService: https://www.assemblyai.com/legal/terms-of-service
  contact:
    name: API Support
    email: support@assemblyai.com
    url: https://www.assemblyai.com/docs/

servers:
  - url: https://api.assemblyai.com
    description: AssemblyAI API

tags:
  - name: transcript
    description: Transcript related operations
    externalDocs:
      url: https://www.assemblyai.com/docs/guides/transcribing-an-audio-file
  - name: LeMUR
    description: LeMUR related operations
    externalDocs:
      url: https://www.assemblyai.com/docs/guides/processing-audio-with-llms-using-lemur
  - name: streaming
    description: Streaming Speech-to-Text
    externalDocs:
      url: https://www.assemblyai.com/docs/speech-to-text/streaming

security:
  - ApiKey: []

paths:
  /v2/upload:
    post:
      tags:
        - transcript
      summary: Upload a media file
      description: Upload a media file to AssemblyAI's servers.
      operationId: uploadFile
      x-fern-sdk-group-name: files
      x-fern-sdk-method-name: upload
      requestBody:
        content:
          application/octet-stream: {}
      responses:
        "200":
          x-label: Media file uploaded
          description: Media file uploaded successfully
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/UploadedFile"
        "400":
          $ref: "#/components/responses/BadRequest"
        "401":
          $ref: "#/components/responses/Unauthorized"
        "404":
          $ref: "#/components/responses/NotFound"
        "429":
          $ref: "#/components/responses/TooManyRequests"
        "500":
          $ref: "#/components/responses/InternalServerError"
        "503":
          $ref: "#/components/responses/ServiceUnavailable"
        "504":
          $ref: "#/components/responses/GatewayTimeout"

  /v2/transcript:
    post:
      tags:
        - transcript
      summary: Transcribe audio
      description: Create a transcript from a media file that is accessible via a URL.
      operationId: createTranscript
      x-fern-sdk-group-name: transcripts
      x-fern-sdk-method-name: submit
      x-fern-request-name: TranscriptParams
      requestBody:
        description: Params to create a transcript
        required: true
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/TranscriptParams"
      responses:
        "200":
          x-label: Transcript created
          description: Transcript created and queued for processing
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/Transcript"
          links:
            GetTranscriptById:
              $ref: "#/components/links/GetTranscriptById"
            GetTranscriptSentencesById:
              $ref: "#/components/links/GetTranscriptSentencesById"
            GetTranscriptParagraphsById:
              $ref: "#/components/links/GetTranscriptParagraphsById"
            GetTranscriptSubtitlesById:
              $ref: "#/components/links/GetTranscriptSubtitlesById"
            GetTranscriptRedactedAudioById:
              $ref: "#/components/links/GetTranscriptRedactedAudioById"
            WordSearchByTranscriptId:
              $ref: "#/components/links/WordSearchByTranscriptId"
            DeleteTranscriptById:
              $ref: "#/components/links/DeleteTranscriptById"
        "400":
          $ref: "#/components/responses/BadRequest"
        "401":
          $ref: "#/components/responses/Unauthorized"
        "404":
          $ref: "#/components/responses/NotFound"
        "429":
          $ref: "#/components/responses/TooManyRequests"
        "500":
          $ref: "#/components/responses/InternalServerError"
        "503":
          $ref: "#/components/responses/ServiceUnavailable"
        "504":
          $ref: "#/components/responses/GatewayTimeout"
      callbacks:
        transcriptReadyWebhook:
          "{$request.body#/webhook_url}":
            post:
              requestBody:
                required: true
                content:
                  application/json:
                    schema:
                      $ref: "#/components/schemas/TranscriptReadyNotification"
              responses:
                "2XX":
                  description: Successfully received the notification
                "4XX":
                  description: Invalid request
                "5XX":
                  description: Unexpected error
        redactedAudioWebhook:
          "{$request.body#/webhook_url}":
            post:
              requestBody:
                required: true
                content:
                  application/json:
                    schema:
                      $ref: "#/components/schemas/RedactedAudioNotification"
              responses:
                "2XX":
                  description: Successfully received the notification
                "4XX":
                  description: Invalid request
                "5XX":
                  description: Unexpected error
    get:
      tags:
        - transcript
      summary: List transcripts
      x-fern-sdk-group-name: transcripts
      x-fern-sdk-method-name: list
      x-fern-request-name: ListTranscriptParams
      operationId: listTranscripts
      description: |
        Retrieve a list of transcripts you created.
        Transcripts are sorted from newest to oldest. The previous URL always points to a page with older transcripts.
      parameters:
        - name: limit
          x-label: Limit
          in: query
          description: Maximum amount of transcripts to retrieve
          schema:
            $ref: "#/components/schemas/ListTranscriptParams/properties/limit"
        - name: status
          x-label: Status
          in: query
          description: Filter by transcript status
          schema:
            # Use TranscriptStatus instead of
            # ListTranscriptParams/properties/limit for better SDK generation
            $ref: "#/components/schemas/TranscriptStatus"

        - name: created_on
          x-label: Created on
          in: query
          description: Only get transcripts created on this date
          schema:
            $ref: "#/components/schemas/ListTranscriptParams/properties/created_on"

        - name: before_id
          x-label: Before ID
          in: query
          description: Get transcripts that were created before this transcript ID
          schema:
            $ref: "#/components/schemas/ListTranscriptParams/properties/before_id"

        - name: after_id
          x-label: After ID
          in: query
          description: Get transcripts that were created after this transcript ID
          schema:
            $ref: "#/components/schemas/ListTranscriptParams/properties/after_id"

        - name: throttled_only
          x-label: Throttled only
          in: query
          description: Only get throttled transcripts, overrides the status filter
          schema:
            $ref: "#/components/schemas/ListTranscriptParams/properties/throttled_only"
      responses:
        "200":
          description: |
            A list of transcripts. Transcripts are sorted from newest to oldest. The previous URL always points to a page with older transcripts.
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/TranscriptList"
        "400":
          $ref: "#/components/responses/BadRequest"
        "401":
          $ref: "#/components/responses/Unauthorized"
        "404":
          $ref: "#/components/responses/NotFound"
        "429":
          $ref: "#/components/responses/TooManyRequests"
        "500":
          $ref: "#/components/responses/InternalServerError"
        "503":
          $ref: "#/components/responses/ServiceUnavailable"
        "504":
          $ref: "#/components/responses/GatewayTimeout"

  /v2/transcript/{transcript_id}:
    get:
      tags:
        - transcript
      summary: Get transcript
      operationId: getTranscript
      x-fern-sdk-group-name: transcripts
      x-fern-sdk-method-name: get
      x-fern-request-name: GetTranscriptParams
      description: Get the transcript resource. The transcript is ready when the "status" is "completed".
      parameters:
        - name: transcript_id
          x-label: Transcript ID
          in: path
          description: ID of the transcript
          required: true
          schema:
            type: string
      responses:
        "200":
          description: The transcript resource
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/Transcript"
          links:
            GetTranscriptById:
              $ref: "#/components/links/GetTranscriptById"
            GetTranscriptSentencesById:
              $ref: "#/components/links/GetTranscriptSentencesById"
            GetTranscriptParagraphsById:
              $ref: "#/components/links/GetTranscriptParagraphsById"
            GetTranscriptSubtitlesById:
              $ref: "#/components/links/GetTranscriptSubtitlesById"
            GetTranscriptRedactedAudioById:
              $ref: "#/components/links/GetTranscriptRedactedAudioById"
            WordSearchByTranscriptId:
              $ref: "#/components/links/WordSearchByTranscriptId"
            DeleteTranscriptById:
              $ref: "#/components/links/DeleteTranscriptById"
        "400":
          $ref: "#/components/responses/BadRequest"
        "401":
          $ref: "#/components/responses/Unauthorized"
        "404":
          $ref: "#/components/responses/NotFound"
        "429":
          $ref: "#/components/responses/TooManyRequests"
        "500":
          $ref: "#/components/responses/InternalServerError"
        "503":
          $ref: "#/components/responses/ServiceUnavailable"
        "504":
          $ref: "#/components/responses/GatewayTimeout"

    delete:
      tags:
        - transcript
      summary: Delete transcript
      description: Remove the data from the transcript and mark it as deleted.
      operationId: deleteTranscript
      x-fern-sdk-group-name: transcripts
      x-fern-sdk-method-name: delete
      parameters:
        - name: transcript_id
          x-label: Transcript ID
          in: path
          description: ID of the transcript
          required: true
          schema:
            type: string
      responses:
        "200":
          description: The deleted transcript response
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/Transcript"
        "400":
          $ref: "#/components/responses/BadRequest"
        "401":
          $ref: "#/components/responses/Unauthorized"
        "404":
          $ref: "#/components/responses/NotFound"
        "429":
          $ref: "#/components/responses/TooManyRequests"
        "500":
          $ref: "#/components/responses/InternalServerError"
        "503":
          $ref: "#/components/responses/ServiceUnavailable"
        "504":
          $ref: "#/components/responses/GatewayTimeout"

  /v2/transcript/{transcript_id}/{subtitle_format}:
    get:
      tags:
        - transcript
      summary: Get subtitles for transcript
      description: Export your transcript in SRT or VTT format to use with a video player for subtitles and closed captions.
      operationId: getSubtitles
      x-fern-sdk-group-name: transcripts
      x-fern-sdk-method-name: getSubtitles
      x-fern-request-name: GetSubtitlesParams
      parameters:
        - name: transcript_id
          x-label: Transcript ID
          in: path
          description: ID of the transcript
          required: true
          schema:
            type: string
        - name: subtitle_format
          x-label: Subtitle format
          in: path
          description: The format of the captions
          required: true
          schema:
            $ref: "#/components/schemas/SubtitleFormat"
        - name: chars_per_caption
          x-label: Number of characters per caption
          in: query
          description: The maximum number of characters per caption
          schema:
            type: integer

      responses:
        "200":
          description: The exported captions as text
          content:
            text/plain:
              schema:
                type: string
                example: |
                  WEBVTT
                  00:12.340 --> 00:16.220
                  Last year I showed these two slides said that demonstrate
                  00:16.200 --> 00:20.040
                  that the Arctic ice cap which for most of the last 3,000,000 years has been the
                  00:20.020 --> 00:25.040
                  size of the lower 48 States has shrunk by 40% but this understates
              examples:
                srt:
                  $ref: "#/components/examples/SrtSubtitlesResponse"
                vtt:
                  $ref: "#/components/examples/VttSubtitlesResponse"
        "400":
          $ref: "#/components/responses/BadRequest"
        "401":
          $ref: "#/components/responses/Unauthorized"
        "404":
          $ref: "#/components/responses/NotFound"
        "429":
          $ref: "#/components/responses/TooManyRequests"
        "500":
          $ref: "#/components/responses/InternalServerError"
        "503":
          $ref: "#/components/responses/ServiceUnavailable"
        "504":
          $ref: "#/components/responses/GatewayTimeout"

  /v2/transcript/{transcript_id}/sentences:
    get:
      tags:
        - transcript
      summary: Get sentences in transcript
      operationId: getTranscriptSentences
      x-fern-sdk-group-name: transcripts
      x-fern-sdk-method-name: getSentences
      x-fern-request-name: GetSentencesParams
      description: Get the transcript split by sentences. The API will attempt to semantically segment the transcript into sentences to create more reader-friendly transcripts.
      parameters:
        - name: transcript_id
          x-label: Transcript ID
          in: path
          description: ID of the transcript
          required: true
          schema:
            type: string
      responses:
        "200":
          description: Exported sentences
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/SentencesResponse"
        "400":
          $ref: "#/components/responses/BadRequest"
        "401":
          $ref: "#/components/responses/Unauthorized"
        "404":
          $ref: "#/components/responses/NotFound"
        "429":
          $ref: "#/components/responses/TooManyRequests"
        "500":
          $ref: "#/components/responses/InternalServerError"
        "503":
          $ref: "#/components/responses/ServiceUnavailable"
        "504":
          $ref: "#/components/responses/GatewayTimeout"

  /v2/transcript/{transcript_id}/paragraphs:
    get:
      tags:
        - transcript
      summary: Get paragraphs in transcript
      operationId: getTranscriptParagraphs
      x-fern-sdk-group-name: transcripts
      x-fern-sdk-method-name: getParagraphs
      x-fern-request-name: GetParagraphsParams
      description: Get the transcript split by paragraphs. The API will attempt to semantically segment your transcript into paragraphs to create more reader-friendly transcripts.
      parameters:
        - name: transcript_id
          x-label: Transcript ID
          in: path
          description: ID of the transcript
          required: true
          schema:
            type: string
      responses:
        "200":
          description: Exported paragraphs
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/ParagraphsResponse"
        "400":
          $ref: "#/components/responses/BadRequest"
        "401":
          $ref: "#/components/responses/Unauthorized"
        "404":
          $ref: "#/components/responses/NotFound"
        "429":
          $ref: "#/components/responses/TooManyRequests"
        "500":
          $ref: "#/components/responses/InternalServerError"
        "503":
          $ref: "#/components/responses/ServiceUnavailable"
        "504":
          $ref: "#/components/responses/GatewayTimeout"

  /v2/transcript/{transcript_id}/word-search:
    get:
      tags:
        - transcript
      summary: Search words in transcript
      description: Search through the transcript for keywords. You can search for individual words, numbers, or phrases containing up to five words or numbers.
      operationId: wordSearch
      x-fern-sdk-group-name: transcripts
      x-fern-sdk-method-name: wordSearch
      x-fern-request-name: WordSearchParams
      parameters:
        - name: transcript_id
          x-label: Transcript ID
          in: path
          description: ID of the transcript
          required: true
          schema:
            type: string
        - name: words
          x-label: Words
          in: query
          description: Keywords to search for
          required: true
          style: form
          explode: false
          schema:
            type: array
            items:
              x-label: Word
              type: string

      responses:
        "200":
          description: Word search response
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/WordSearchResponse"
        "400":
          $ref: "#/components/responses/BadRequest"
        "401":
          $ref: "#/components/responses/Unauthorized"
        "404":
          $ref: "#/components/responses/NotFound"
        "429":
          $ref: "#/components/responses/TooManyRequests"
        "500":
          $ref: "#/components/responses/InternalServerError"
        "503":
          $ref: "#/components/responses/ServiceUnavailable"
        "504":
          $ref: "#/components/responses/GatewayTimeout"

  /v2/transcript/{transcript_id}/redacted-audio:
    get:
      tags:
        - transcript
      summary: Get redacted audio
      description: Retrieve the redacted audio object containing the status and URL to the redacted audio.
      operationId: getRedactedAudio
      x-fern-sdk-group-name: transcripts
      x-fern-sdk-method-name: getRedactedAudio
      x-fern-request-name: GetRedactedAudioParams
      parameters:
        - name: transcript_id
          x-label: Transcript ID
          in: path
          description: ID of the transcript
          required: true
          schema:
            type: string

      responses:
        "200":
          description: The redacted audio object containing the status and URL to the redacted audio
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/RedactedAudioResponse"
        "400":
          $ref: "#/components/responses/BadRequest"
        "401":
          $ref: "#/components/responses/Unauthorized"
        "404":
          $ref: "#/components/responses/NotFound"
        "429":
          $ref: "#/components/responses/TooManyRequests"
        "500":
          $ref: "#/components/responses/InternalServerError"
        "503":
          $ref: "#/components/responses/ServiceUnavailable"
        "504":
          $ref: "#/components/responses/GatewayTimeout"

  /v2/realtime/token:
    post:
      tags:
        - streaming
      summary: Create temporary authentication token for Streaming STT
      description: Create a temporary authentication token for Streaming Speech-to-Text
      operationId: createTemporaryToken
      x-fern-sdk-group-name: realtime
      x-fern-sdk-method-name: createTemporaryToken
      x-fern-request-name: CreateRealtimeTemporaryTokenParams
      requestBody:
        description: Params to create a temporary authentication token
        required: true
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/CreateRealtimeTemporaryTokenParams"
      responses:
        "200":
          description: Temporary authentication token generated
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/RealtimeTemporaryTokenResponse"
        "400":
          $ref: "#/components/responses/BadRequest"
        "401":
          $ref: "#/components/responses/Unauthorized"
        "404":
          $ref: "#/components/responses/NotFound"
        "429":
          $ref: "#/components/responses/TooManyRequests"
        "500":
          $ref: "#/components/responses/InternalServerError"
        "503":
          $ref: "#/components/responses/ServiceUnavailable"
        "504":
          $ref: "#/components/responses/GatewayTimeout"

  /lemur/v3/generate/task:
    post:
      tags:
        - LeMUR
      summary: Run a task using LeMUR
      description: Use the LeMUR task endpoint to input your own LLM prompt.
      operationId: lemurTask
      x-fern-sdk-group-name: lemur
      x-fern-sdk-method-name: task
      x-fern-request-name: LemurTaskParams
      requestBody:
        description: Params to run the task
        required: true
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/LemurTaskParams"
      responses:
        "200":
          description: LeMUR task response
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/LemurTaskResponse"
          headers:
            X-RateLimit-Limit:
              schema:
                type: integer
              description: Maximum number of allowed requests in a 60 second window.
            X-RateLimit-Remaining:
              schema:
                type: integer
              description: Number of remaining requests in the current time window.
            X-RateLimit-Reset:
              schema:
                type: integer
              description: Number of seconds until the remaining requests resets to the value of X-RateLimit-Limit.
          links:
            PurgeLemurRequestDataById:
              $ref: "#/components/links/PurgeLemurRequestDataById"
        "400":
          $ref: "#/components/responses/BadRequest"
        "401":
          $ref: "#/components/responses/Unauthorized"
        "404":
          $ref: "#/components/responses/NotFound"
        "429":
          $ref: "#/components/responses/TooManyRequests"
        "500":
          $ref: "#/components/responses/InternalServerError"
        "503":
          $ref: "#/components/responses/ServiceUnavailable"
        "504":
          $ref: "#/components/responses/GatewayTimeout"

  /lemur/v3/generate/summary:
    post:
      tags:
        - LeMUR
      summary: Summarize a transcript using LeMUR
      description: |
        Custom Summary allows you to distill a piece of audio into a few impactful sentences.
        You can give the model context to obtain more targeted results while outputting the results in a variety of formats described in human language.
      operationId: lemurSummary
      x-fern-sdk-group-name: lemur
      x-fern-sdk-method-name: summary
      x-fern-request-name: LemurSummaryParams
      requestBody:
        description: Params to generate the summary
        required: true
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/LemurSummaryParams"
      responses:
        "200":
          description: LeMUR summary response
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/LemurSummaryResponse"
          headers:
            X-RateLimit-Limit:
              schema:
                type: integer
              description: Maximum number of allowed requests in a 60 second window.
            X-RateLimit-Remaining:
              schema:
                type: integer
              description: Number of remaining requests in the current time window.
            X-RateLimit-Reset:
              schema:
                type: integer
              description: Number of seconds until the remaining requests resets to the value of X-RateLimit-Limit.
          links:
            PurgeLemurRequestDataById:
              $ref: "#/components/links/PurgeLemurRequestDataById"
        "400":
          $ref: "#/components/responses/BadRequest"
        "401":
          $ref: "#/components/responses/Unauthorized"
        "404":
          $ref: "#/components/responses/NotFound"
        "429":
          $ref: "#/components/responses/TooManyRequests"
        "500":
          $ref: "#/components/responses/InternalServerError"
        "503":
          $ref: "#/components/responses/ServiceUnavailable"
        "504":
          $ref: "#/components/responses/GatewayTimeout"

  /lemur/v3/generate/question-answer:
    post:
      tags:
        - LeMUR
      summary: Ask questions using LeMUR
      description: |
        Question & Answer allows you to ask free-form questions about a single transcript or a group of transcripts.
        The questions can be any whose answers you find useful, such as judging whether a caller is likely to become a customer or whether all items on a meeting's agenda were covered.
      operationId: lemurQuestionAnswer
      x-fern-sdk-group-name: lemur
      x-fern-sdk-method-name: questionAnswer
      x-fern-request-name: LemurQuestionAnswerParams
      requestBody:
        description: Params to ask questions about the transcripts
        required: true
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/LemurQuestionAnswerParams"
      responses:
        "200":
          description: LeMUR question & answer response
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/LemurQuestionAnswerResponse"
          headers:
            X-RateLimit-Limit:
              schema:
                type: integer
              description: Maximum number of allowed requests in a 60 second window.
            X-RateLimit-Remaining:
              schema:
                type: integer
              description: Number of remaining requests in the current time window.
            X-RateLimit-Reset:
              schema:
                type: integer
              description: Number of seconds until the remaining requests resets to the value of X-RateLimit-Limit.
          links:
            PurgeLemurRequestDataById:
              $ref: "#/components/links/PurgeLemurRequestDataById"
        "400":
          $ref: "#/components/responses/BadRequest"
        "401":
          $ref: "#/components/responses/Unauthorized"
        "404":
          $ref: "#/components/responses/NotFound"
        "429":
          $ref: "#/components/responses/TooManyRequests"
        "500":
          $ref: "#/components/responses/InternalServerError"
        "503":
          $ref: "#/components/responses/ServiceUnavailable"
        "504":
          $ref: "#/components/responses/GatewayTimeout"

  /lemur/v3/generate/action-items:
    post:
      tags:
        - LeMUR
      summary: Extract action items
      operationId: lemurActionItems
      x-label: Extract action items using LeMUR
      x-fern-sdk-group-name: lemur
      x-fern-sdk-method-name: actionItems
      x-fern-request-name: LemurActionItemsParams
      description: Use LeMUR to generate a list of action items from a transcript
      requestBody:
        description: Params to generate action items from transcripts
        required: true
        content:
          application/json:
            schema:
              $ref: "#/components/schemas/LemurActionItemsParams"
      responses:
        "200":
          description: LeMUR action items response
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/LemurActionItemsResponse"
          headers:
            X-RateLimit-Limit:
              schema:
                type: integer
              description: Maximum number of allowed requests in a 60 second window.
            X-RateLimit-Remaining:
              schema:
                type: integer
              description: Number of remaining requests in the current time window.
            X-RateLimit-Reset:
              schema:
                type: integer
              description: Number of seconds until the remaining requests resets to the value of X-RateLimit-Limit.
          links:
            PurgeLemurRequestDataById:
              $ref: "#/components/links/PurgeLemurRequestDataById"
        "400":
          $ref: "#/components/responses/BadRequest"
        "401":
          $ref: "#/components/responses/Unauthorized"
        "404":
          $ref: "#/components/responses/NotFound"
        "429":
          $ref: "#/components/responses/TooManyRequests"
        "500":
          $ref: "#/components/responses/InternalServerError"
        "503":
          $ref: "#/components/responses/ServiceUnavailable"
        "504":
          $ref: "#/components/responses/GatewayTimeout"

  /lemur/v3/{request_id}:
    get:
      tags:
        - LeMUR
      summary: Retrieve LeMUR response
      description: |
        Retrieve a LeMUR response that was previously generated.
      operationId: getLemurResponse
      x-fern-sdk-group-name: lemur
      x-fern-sdk-method-name: getResponse
      x-fern-request-name: GetLemurResponseParams
      parameters:
        - name: request_id
          x-label: LeMUR request ID
          in: path
          description: |
            The ID of the LeMUR request you previously made.
            This would be found in the response of the original request.
          required: true
          schema:
            type: string
      responses:
        "200":
          description: LeMUR response
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/LemurResponse"
        "400":
          $ref: "#/components/responses/BadRequest"
        "401":
          $ref: "#/components/responses/Unauthorized"
        "404":
          $ref: "#/components/responses/NotFound"
        "429":
          $ref: "#/components/responses/TooManyRequests"
        "500":
          $ref: "#/components/responses/InternalServerError"
        "503":
          $ref: "#/components/responses/ServiceUnavailable"
        "504":
          $ref: "#/components/responses/GatewayTimeout"
    delete:
      tags:
        - LeMUR
      summary: Purge LeMUR request data
      description: |
        Delete the data for a previously submitted LeMUR request.
        The LLM response data, as well as any context provided in the original request will be removed.
      operationId: purgeLemurRequestData
      x-fern-sdk-group-name: lemur
      x-fern-sdk-method-name: purgeRequestData
      x-fern-request-name: PurgeLemurRequestDataParams
      parameters:
        - name: request_id
          x-label: LeMUR request ID
          in: path
          description: The ID of the LeMUR request whose data you want to delete. This would be found in the response of the original request.
          required: true
          schema:
            type: string
      responses:
        "200":
          description: LeMUR request data deleted
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/PurgeLemurRequestDataResponse"
        "400":
          $ref: "#/components/responses/BadRequest"
        "401":
          $ref: "#/components/responses/Unauthorized"
        "404":
          $ref: "#/components/responses/NotFound"
        "429":
          $ref: "#/components/responses/TooManyRequests"
        "500":
          $ref: "#/components/responses/InternalServerError"
        "503":
          $ref: "#/components/responses/ServiceUnavailable"
        "504":
          $ref: "#/components/responses/GatewayTimeout"

components:
  links:
    GetTranscriptById:
      operationId: getTranscript
      parameters:
        transcript_id: "$response.body#/id"
      description: The transcript ID can be used as the `transcript_id` parameter in `GET /v2/transcript/{transcript_id}`.
    GetTranscriptSentencesById:
      operationId: getSentences
      parameters:
        transcript_id: "$response.body#/id"
      description: The transcript ID can be used as the `transcript_id` parameter in `GET /v2/transcript/{transcript_id}/sentences`.
    GetTranscriptParagraphsById:
      operationId: getParagraphs
      parameters:
        transcript_id: "$response.body#/id"
      description: The transcript ID can be used as the `transcript_id` parameter in `GET /v2/transcript/{transcript_id}/paragraphs`.
    GetTranscriptSubtitlesById:
      operationId: getSubtitles
      parameters:
        transcript_id: "$response.body#/id"
      description: The transcript ID can be used as the `transcript_id` parameter in `GET /v2/transcript/{transcript_id}/{subtitle_format}`.
    GetTranscriptRedactedAudioById:
      operationId: getRedactedAudio
      parameters:
        transcript_id: "$response.body#/id"
      description: The transcript ID can be used as the `transcript_id` parameter in `GET /v2/transcript/{transcript_id}/redacted-audio`.
    WordSearchByTranscriptId:
      operationId: wordSearch
      parameters:
        transcript_id: "$response.body#/id"
      description: The transcript ID can be used as the `transcript_id` parameter in `GET /v2/transcript/{transcript_id}/word-search`.
    DeleteTranscriptById:
      operationId: deleteTranscript
      parameters:
        transcript_id: "$response.body#/id"
      description: The transcript ID can be used as the `transcript_id` parameter in `DELETE /v2/transcript/{transcript_id}`.
    PurgeLemurRequestDataById:
      operationId: purgeLemurRequestData
      parameters:
        request_id: "$response.body#/request_id"
      description: The LeMUR request ID can be used as the `request_id` parameter in `DELETE /lemur/v3/{request_id}`.

  schemas:
    TranscriptWebhookNotification:
      description: The notifications sent to the webhook URL.
      x-label: Transcript webhook notification
      x-fern-sdk-group-name: transcripts
      type: object
      additionalProperties: false
      oneOf:
        - $ref: "#/components/schemas/TranscriptReadyNotification"
        - $ref: "#/components/schemas/RedactedAudioNotification"

    TranscriptReadyNotification:
      description: The notification when the transcript status is completed or error.
      x-label: Transcript ready notification
      x-fern-sdk-group-name: transcripts
      type: object
      additionalProperties: false
      properties:
        transcript_id:
          x-label: Transcript ID
          description: The ID of the transcript
          type: string
          format: uuid
        status:
          x-label: Transcript status
          description: The status of the transcript. Either completed or error.
          $ref: "#/components/schemas/TranscriptReadyStatus"
      required:
        - transcript_id
        - status
      example:
        {
          transcript_id: "9ea68fd3-f953-42c1-9742-976c447fb463",
          status: "completed",
        }

    RedactedAudioNotification:
      description: The notification when the redacted audio is ready.
      x-label: Redacted audio notification
      x-fern-sdk-group-name: transcripts
      type: object
      additionalProperties: false
      allOf:
        - $ref: "#/components/schemas/RedactedAudioResponse"

    RedactedAudioResponse:
      type: object
      additionalProperties: false
      x-label: Redacted audio response
      x-fern-sdk-group-name: transcripts
      required:
        - status
        - redacted_audio_url
      properties:
        status:
          x-label: Status
          description: The status of the redacted audio
          $ref: "#/components/schemas/RedactedAudioStatus"
        redacted_audio_url:
          x-label: Redacted audio URL
          description: The URL of the redacted audio file
          type: string
          format: url
      example:
        {
          redacted_audio_url: "https://s3.us-west-2.amazonaws.com/api.assembly.ai.usw2/redacted-audio/785efd9e-0e20-45e1-967b-3db17770ed9f.wav?AWSAccessKeyId=aws-access-key0id&Signature=signature&x-amz-security-token=security-token&Expires=1698966551",
          status: "redacted_audio_ready",
        }

    RedactedAudioStatus:
      x-label: Redacted audio status
      description: The status of the redacted audio
      x-fern-sdk-group-name: transcripts
      type: string
      enum:
        - redacted_audio_ready
      x-aai-enum:
        redacted_audio_ready:
          label: Redacted audio is ready

    SubtitleFormat:
      x-label: Subtitle format
      description: Format of the subtitles
      x-fern-sdk-group-name: transcripts
      type: string
      enum:
        - srt
        - vtt
      x-aai-enum:
        srt:
          label: SRT
        vtt:
          label: VTT

    WordSearchResponse:
      x-label: Word search response
      type: object
      x-fern-sdk-group-name: transcripts
      additionalProperties: false
      properties:
        id:
          x-label: Transcript ID
          description: The ID of the transcript
          type: string
          format: uuid
        total_count:
          x-label: Total count of matches
          description: The total count of all matched instances. For e.g., word 1 matched 2 times, and word 2 matched 3 times, `total_count` will equal 5.
          type: integer
        matches:
          x-label: Matches
          description: The matches of the search
          type: array
          items:
            x-label: Match
            $ref: "#/components/schemas/WordSearchMatch"
      required:
        - id
        - total_count
        - matches
      example:
        {
          id: "d5a3d302-066e-43fb-b63b-8f57baf185db",
          total_count: 10,
          matches:
            [
              {
                text: "smoke",
                count: 6,
                timestamps:
                  [
                    [250, 650],
                    [49168, 49398],
                    [55284, 55594],
                    [168888, 169118],
                    [215108, 215386],
                    [225944, 226170],
                  ],
                indexes: [0, 136, 156, 486, 652, 698],
              },
              {
                text: "wildfires",
                count: 4,
                timestamps:
                  [
                    [1668, 2346],
                    [33852, 34546],
                    [50118, 51110],
                    [231356, 232354],
                  ],
                indexes: [4, 90, 140, 716],
              },
            ],
        }

    WordSearchMatch:
      type: object
      x-label: Word search match
      x-fern-sdk-group-name: transcripts
      additionalProperties: false
      properties:
        text:
          x-label: Text
          description: The matched word
          type: string
        count:
          x-label: Count
          description: The total amount of times the word is in the transcript
          type: integer
        timestamps:
          x-label: Timestamps
          description: An array of timestamps
          type: array
          items:
            x-label: Timestamp
            $ref: "#/components/schemas/WordSearchTimestamp"
        indexes:
          x-label: Indexes
          description: An array of all index locations for that word within the `words` array of the completed transcript
          type: array
          items:
            x-label: Index
            type: integer
      required:
        - text
        - count
        - timestamps
        - indexes
      example:
        {
          text: "smoke",
          count: 6,
          timestamps:
            [
              [250, 650],
              [49168, 49398],
              [55284, 55594],
              [168888, 169118],
              [215108, 215386],
              [225944, 226170],
            ],
          indexes: [0, 136, 156, 486, 652, 698],
        }

    WordSearchTimestamp:
      x-label: Word search timestamp
      description: An array of timestamps structured as [`start_time`, `end_time`] in milliseconds
      x-fern-sdk-group-name: transcripts
      type: array
      items:
        x-label: Timestamp
        description: Timestamp in milliseconds
        type: integer
      example: [250, 650]

    Timestamp:
      x-label: Timestamp
      description: Timestamp containing a start and end property in milliseconds
      x-fern-sdk-group-name: transcripts
      type: object
      additionalProperties: false
      properties:
        start:
          x-label: Start
          description: The start time in milliseconds
          type: integer
        end:
          x-label: End
          description: The end time in milliseconds
          type: integer
      required:
        - start
        - end
      example: { start: 3978, end: 5114 }

    # This type is used by the Transcriber
    TranscriptOptionalParams:
      x-label: Optional transcript parameters
      description: The parameters for creating a transcript
      x-fern-sdk-group-name: transcripts
      type: object
      additionalProperties: false
      properties:
        language_code:
          x-label: Language code
          description: |
            The language of your audio file. Possible values are found in [Supported Languages](https://www.assemblyai.com/docs/concepts/supported-languages).
            The default value is 'en_us'.
          oneOf:
            - anyOf:
                - $ref: "#/components/schemas/TranscriptLanguageCode"
                - type: string
            - type: "null"
          default: en_us
          x-ts-type: LiteralUnion<TranscriptLanguageCode, string> | null
          x-go-type: TranscriptLanguageCode

        language_detection:
          x-label: Language detection
          description: Enable [Automatic language detection](https://www.assemblyai.com/docs/models/speech-recognition#automatic-language-detection), either true or false.
          type: boolean
          default: false

        language_confidence_threshold:
          x-label: Language confidence threshold
          description: |
            The confidence threshold for the automatically detected language.
            An error will be returned if the language confidence is below this threshold.
            Defaults to 0.
          type: number
          format: float
          minimum: 0
          maximum: 1
          default: 0

        speech_model:
          x-label: Speech model
          description: The speech model to use for the transcription. When `null`, the "best" model is used.
          default: best
          oneOf:
            - $ref: "#/components/schemas/SpeechModel"
            - type: "null"

        punctuate:
          x-label: Punctuate
          description: Enable Automatic Punctuation, can be true or false
          type: boolean
          default: true

        format_text:
          x-label: Format text
          description: Enable Text Formatting, can be true or false
          type: boolean
          default: true

        disfluencies:
          x-label: Disfluencies
          description: Transcribe Filler Words, like "umm", in your media file; can be true or false
          type: boolean
          default: false

        multichannel:
          x-label: Multichannel
          description: Enable [Multichannel](https://www.assemblyai.com/docs/models/speech-recognition#multichannel-transcription) transcription, can be true or false.
          type: boolean
          default: false

        dual_channel:
          x-label: Dual channel
          description: Enable [Dual Channel](https://www.assemblyai.com/docs/models/speech-recognition#dual-channel-transcription) transcription, can be true or false.
          type: boolean
          default: false
          deprecated: true

        webhook_url:
          x-label: Webhook URL
          description: |
            The URL to which we send webhook requests.
            We sends two different types of webhook requests.
            One request when a transcript is completed or failed, and one request when the redacted audio is ready if redact_pii_audio is enabled.
          type: string
          format: url

        webhook_auth_header_name:
          x-label: Webhook auth header name
          description: The header name to be sent with the transcript completed or failed webhook requests
          type: [string, "null"]
          default: null

        webhook_auth_header_value:
          x-label: Webhook auth header value
          description: The header value to send back with the transcript completed or failed webhook requests for added security
          type: [string, "null"]
          default: null

        auto_highlights:
          x-label: Key phrases
          description: Enable Key Phrases, either true or false
          type: boolean
          default: false

        audio_start_from:
          x-label: Audio start from
          description: The point in time, in milliseconds, to begin transcribing in your media file
          type: integer

        audio_end_at:
          x-label: Audio end at
          description: The point in time, in milliseconds, to stop transcribing in your media file
          type: integer

        word_boost:
          x-label: Word boost
          description: The list of custom vocabulary to boost transcription probability for
          type: array
          items:
            x-label: Word to boost
            type: string

        boost_param:
          x-label: Word boost level
          description: How much to boost specified words
          default: default
          $ref: "#/components/schemas/TranscriptBoostParam"

        filter_profanity:
          x-label: Filter profanity
          description: Filter profanity from the transcribed text, can be true or false
          type: boolean
          default: false

        redact_pii:
          x-label: Redact PII
          description: Redact PII from the transcribed text using the Redact PII model, can be true or false
          type: boolean
          default: false

        redact_pii_audio:
          x-label: Redact PII audio
          description: Generate a copy of the original media file with spoken PII "beeped" out, can be true or false. See [PII redaction](https://www.assemblyai.com/docs/models/pii-redaction) for more details.
          type: boolean
          default: false

        redact_pii_audio_quality:
          x-label: Redact PII audio quality
          description: Controls the filetype of the audio created by redact_pii_audio. Currently supports mp3 (default) and wav. See [PII redaction](https://www.assemblyai.com/docs/models/pii-redaction) for more details.
          default: mp3
          $ref: "#/components/schemas/RedactPiiAudioQuality"

        redact_pii_policies:
          x-label: Redact PII policies
          description: The list of PII Redaction policies to enable. See [PII redaction](https://www.assemblyai.com/docs/models/pii-redaction) for more details.
          type: array
          items:
            x-label: PII policy
            $ref: "#/components/schemas/PiiPolicy"

        redact_pii_sub:
          x-label: Redact PII substitution
          description: The replacement logic for detected PII, can be "entity_type" or "hash". See [PII redaction](https://www.assemblyai.com/docs/models/pii-redaction) for more details.
          oneOf:
            - $ref: "#/components/schemas/SubstitutionPolicy"
            - type: "null"
          default: hash

        speaker_labels:
          x-label: Speaker labels
          description: Enable [Speaker diarization](https://www.assemblyai.com/docs/models/speaker-diarization), can be true or false
          type: boolean
          default: false

        speakers_expected:
          x-label: Speakers expected
          description: Tells the speaker label model how many speakers it should attempt to identify, up to 10. See [Speaker diarization](https://www.assemblyai.com/docs/models/speaker-diarization) for more details.
          type: [integer, "null"]
          default: null

        content_safety:
          x-label: Content Moderation
          description: Enable [Content Moderation](https://www.assemblyai.com/docs/models/content-moderation), can be true or false
          type: boolean
          default: false

        content_safety_confidence:
          x-label: Content Moderation confidence
          description: The confidence threshold for the Content Moderation model. Values must be between 25 and 100.
          type: integer
          default: 50
          minimum: 25
          maximum: 100

        iab_categories:
          x-label: Topic Detection
          description: Enable [Topic Detection](https://www.assemblyai.com/docs/models/topic-detection), can be true or false
          type: boolean
          default: false

        custom_spelling:
          x-label: Custom spellings
          description: Customize how words are spelled and formatted using to and from values
          type: array
          items:
            x-label: Custom spelling
            $ref: "#/components/schemas/TranscriptCustomSpelling"

        sentiment_analysis:
          x-label: Sentiment Analysis
          description: Enable [Sentiment Analysis](https://www.assemblyai.com/docs/models/sentiment-analysis), can be true or false
          type: boolean
          default: false

        auto_chapters:
          x-label: Auto chapters
          description: Enable [Auto Chapters](https://www.assemblyai.com/docs/models/auto-chapters), can be true or false
          type: boolean
          default: false

        entity_detection:
          x-label: Entity Detection
          description: Enable [Entity Detection](https://www.assemblyai.com/docs/models/entity-detection), can be true or false
          type: boolean
          default: false

        speech_threshold:
          x-label: Speech threshold
          description: |
            Reject audio files that contain less than this fraction of speech.
            Valid values are in the range [0, 1] inclusive.
          type: [number, "null"]
          format: float
          minimum: 0
          maximum: 1
          default: 0

        summarization:
          x-label: Enable Summarization
          description: Enable [Summarization](https://www.assemblyai.com/docs/models/summarization), can be true or false
          type: boolean
          default: false

        summary_model:
          x-label: Summary model
          description: The model to summarize the transcript
          default: informative
          $ref: "#/components/schemas/SummaryModel"

        summary_type:
          x-label: Summary type
          description: The type of summary
          default: bullets
          $ref: "#/components/schemas/SummaryType"

        custom_topics:
          x-label: Enable custom topics
          description: Enable custom topics, either true or false
          type: boolean
          default: false

        topics:
          x-label: Custom topics
          description: The list of custom topics
          type: array
          items:
            x-label: Topic
            type: string
      example:
        {
          speech_model: null,
          language_code: "en_us",
          language_detection: true,
          language_confidence_threshold: 0.7,
          punctuate: true,
          format_text: true,
          multichannel: true,
          dual_channel: false,
          webhook_url: "https://your-webhook-url.tld/path",
          webhook_auth_header_name: "webhook-secret",
          webhook_auth_header_value: "webhook-secret-value",
          auto_highlights: true,
          audio_start_from: 10,
          audio_end_at: 280,
          word_boost: ["aws", "azure", "google cloud"],
          boost_param: "high",
          filter_profanity: true,
          redact_pii: true,
          redact_pii_audio: true,
          redact_pii_audio_quality: "mp3",
          redact_pii_policies:
            ["us_social_security_number", "credit_card_number"],
          redact_pii_sub: "hash",
          speaker_labels: true,
          speakers_expected: 2,
          content_safety: true,
          iab_categories: true,
          custom_spelling: [],
          disfluencies: false,
          sentiment_analysis: true,
          auto_chapters: true,
          entity_detection: true,
          speech_threshold: 0.5,
          summarization: true,
          summary_model: "informative",
          summary_type: "bullets",
          custom_topics: true,
          topics: [],
        }

    TranscriptParams:
      x-label: Transcript parameters
      description: The parameters for creating a transcript
      x-fern-sdk-group-name: transcripts
      type: object
      additionalProperties: false
      allOf:
        - type: object
          required: [audio_url]
          properties:
            audio_url:
              x-label: Audio URL
              description: The URL of the audio or video file to transcribe.
              type: string
              format: url
          additionalProperties: false
        - $ref: "#/components/schemas/TranscriptOptionalParams"
      example:
        {
          speech_model: null,
          language_code: "en_us",
          language_detection: true,
          language_confidence_threshold: 0.7,
          audio_url: "https://assembly.ai/wildfires.mp3",
          punctuate: true,
          format_text: true,
          multichannel: true,
          dual_channel: false,
          webhook_url: "https://your-webhook-url/path",
          webhook_auth_header_name: "webhook-secret",
          webhook_auth_header_value: "webhook-secret-value",
          auto_highlights: true,
          audio_start_from: 10,
          audio_end_at: 280,
          word_boost: ["aws", "azure", "google cloud"],
          boost_param: "high",
          filter_profanity: true,
          redact_pii: true,
          redact_pii_audio: true,
          redact_pii_audio_quality: "mp3",
          redact_pii_policies:
            ["us_social_security_number", "credit_card_number"],
          redact_pii_sub: "hash",
          speaker_labels: true,
          speakers_expected: 2,
          content_safety: true,
          iab_categories: true,
          custom_spelling: [],
          disfluencies: false,
          sentiment_analysis: true,
          auto_chapters: true,
          entity_detection: true,
          speech_threshold: 0.5,
          summarization: true,
          summary_model: "informative",
          summary_type: "bullets",
          custom_topics: true,
          topics: [],
        }

    SummaryModel:
      type: string
      x-label: Summary model
      description: The model to summarize the transcript
      x-fern-sdk-group-name: transcripts
      enum:
        - informative
        - conversational
        - catchy
      x-aai-enum:
        informative:
          label: Informative
        conversational:
          label: Conversational
        catchy:
          label: Catchy

    SummaryType:
      type: string
      x-label: Summary type
      description: The type of summary
      x-fern-sdk-group-name: transcripts
      enum:
        - bullets
        - bullets_verbose
        - gist
        - headline
        - paragraph
      x-aai-enum:
        bullets:
          label: Bullets
        bullets_verbose:
          label: Bullets verbose
        gist:
          label: Gist
        headline:
          label: Headline
        paragraph:
          label: Paragraph

    TranscriptBoostParam:
      type: string
      x-label: Word boost level
      description: How much to boost specified words
      x-fern-sdk-group-name: transcripts
      enum:
        - low
        - default
        - high
      x-aai-enum:
        low:
          label: Low
        default:
          label: Default
        high:
          label: High

    TranscriptCustomSpelling:
      x-label: Custom spelling
      description: Object containing words or phrases to replace, and the word or phrase to replace with
      x-fern-sdk-group-name: transcripts
      type: object
      additionalProperties: false
      properties:
        from:
          x-label: From
          description: Words or phrases to replace
          type: array
          items:
            x-label: Word or phrase
            description: Word or phrase to replace
            type: string
        to:
          x-label: To
          description: Word or phrase to replace with
          type: string
      required: [from, to]
      example: { from: ["dicarlo"], to: "Decarlo" }

    TranscriptUtterance:
      type: object
      x-label: Utterance
      x-fern-sdk-group-name: transcripts
      additionalProperties: false
      properties:
        confidence:
          x-label: Confidence
          description: The confidence score for the transcript of this utterance
          type: number
          format: double
          minimum: 0
          maximum: 1
        start:
          x-label: Start
          description: The starting time, in milliseconds, of the utterance in the audio file
          type: integer
        end:
          x-label: End
          description: The ending time, in milliseconds, of the utterance in the audio file
          type: integer
        text:
          x-label: Text
          description: The text for this utterance
          type: string
        words:
          x-label: Words
          description: The words in the utterance.
          type: array
          items:
            x-label: Word
            $ref: "#/components/schemas/TranscriptWord"
        channel:
          x-label: Channel
          description: The channel of this utterance. The left and right channels are channels 1 and 2. Additional channels increment the channel number sequentially.
          type: [string, "null"]
        speaker:
          x-label: Speaker
          description: The speaker of this utterance, where each speaker is assigned a sequential capital letter - e.g. "A" for Speaker A, "B" for Speaker B, etc.
          type: string
      required:
        - confidence
        - start
        - end
        - text
        - words
        - speaker
      example:
        {
          confidence: 0.9359033333333334,
          end: 26950,
          speaker: "A",
          start: 250,
          text: "Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. And in some places, the air quality warnings include the warning to stay inside. We wanted to better understand what's happening here and why, so we called Peter de Carlo, an associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University Varsity. Good morning, professor.",
          words:
            [
              {
                text: "Smoke",
                start: 250,
                end: 650,
                confidence: 0.97503,
                speaker: "A",
              },
              {
                text: "from",
                start: 730,
                end: 1022,
                confidence: 0.99999,
                speaker: "A",
              },
              {
                text: "hundreds",
                start: 1076,
                end: 1418,
                confidence: 0.99843,
                speaker: "A",
              },
              {
                text: "of",
                start: 1434,
                end: 1614,
                confidence: 0.85,
                speaker: "A",
              },
              {
                text: "wildfires",
                start: 1652,
                end: 2346,
                confidence: 0.89657,
                speaker: "A",
              },
              {
                text: "in",
                start: 2378,
                end: 2526,
                confidence: 0.99994,
                speaker: "A",
              },
              {
                text: "Canada",
                start: 2548,
                end: 3130,
                confidence: 0.93864,
                speaker: "A",
              },
              {
                text: "is",
                start: 3210,
                end: 3454,
                confidence: 0.999,
                speaker: "A",
              },
              {
                text: "triggering",
                start: 3492,
                end: 3946,
                confidence: 0.75366,
                speaker: "A",
              },
              {
                text: "air",
                start: 3978,
                end: 4174,
                confidence: 1.0,
                speaker: "A",
              },
              {
                text: "quality",
                start: 4212,
                end: 4558,
                confidence: 0.87745,
                speaker: "A",
              },
              {
                text: "alerts",
                start: 4644,
                end: 5114,
                confidence: 0.94739,
                speaker: "A",
              },
              {
                text: "throughout",
                start: 5162,
                end: 5466,
                confidence: 0.99726,
                speaker: "A",
              },
              {
                text: "the",
                start: 5498,
                end: 5694,
                confidence: 0.79,
                speaker: "A",
              },
              {
                text: "US.",
                start: 5732,
                end: 6382,
                confidence: 0.88,
                speaker: "A",
              },
            ],
        }

    SubstitutionPolicy:
      x-label: Redact PII substitution
      type: string
      x-fern-sdk-group-name: transcripts
      description: The replacement logic for detected PII, can be "entity_name" or "hash". See [PII redaction](https://www.assemblyai.com/docs/models/pii-redaction) for more details.
      enum:
        - entity_name
        - hash
      x-aai-enum:
        entity_name:
          label: Entity name
        hash:
          label: Hash

    RedactPiiAudioQuality:
      x-label: Redact PII audio quality
      type: string
      description: Controls the filetype of the audio created by redact_pii_audio. Currently supports mp3 (default) and wav. See [PII redaction](https://www.assemblyai.com/docs/models/pii-redaction) for more details.
      x-fern-sdk-group-name: transcripts
      enum:
        - mp3
        - wav
      x-fern-enum:
        mp3:
          description: MP3 audio format is lower quality and lower size than WAV.
          casing:
            camel: mp3
            snake: mp3
            pascal: Mp3
            screamingSnake: MP3
        wav:
          description: WAV audio format is the highest quality (no compression) and larger size than MP3.
      x-aai-enum:
        mp3:
          label: MP3
        wav:
          label: WAV
      example: "mp3"

    PiiPolicy:
      x-label: PII policy
      description: The type of PII to redact
      x-fern-sdk-group-name: transcripts
      type: string
      enum:
        - account_number
        - banking_information
        - blood_type
        - credit_card_cvv
        - credit_card_expiration
        - credit_card_number
        - date
        - date_interval
        - date_of_birth
        - drivers_license
        - drug
        - duration
        - email_address
        - event
        - filename
        - gender_sexuality
        - healthcare_number
        - injury
        - ip_address
        - language
        - location
        - marital_status
        - medical_condition
        - medical_process
        - money_amount
        - nationality
        - number_sequence
        - occupation
        - organization
        - passport_number
        - password
        - person_age
        - person_name
        - phone_number
        - physical_attribute
        - political_affiliation
        - religion
        - statistics
        - time
        - url
        - us_social_security_number
        - username
        - vehicle_id
        - zodiac_sign
      x-fern-enum:
        account_number:
          description:
            "Customer account or membership identification number (e.g., Policy
            No. 10042992, Member ID: HZ-5235-001)"
        banking_information:
          description: Banking information, including account and routing numbers
        blood_type:
          description: Blood type (e.g., O-, AB positive)
        credit_card_cvv:
          description: "Credit card verification code (e.g., CVV: 080)"
        credit_card_expiration:
          description: Expiration date of a credit card
        credit_card_number:
          description: Credit card number
        date:
          description: Specific calendar date (e.g., December 18)
        date_interval:
          description:
            Broader time periods, including date ranges, months, seasons, years,
            and decades (e.g., 2020-2021, 5-9 May, January 1984)
        date_of_birth:
          description: "Date of birth (e.g., Date of Birth: March 7,1961)"
        drivers_license:
          description: Driver's license number. (e.g., DL# 356933-540)
        drug:
          description:
            Medications, vitamins, or supplements (e.g., Advil, Acetaminophen,
            Panadol)
        duration:
          description:
            Periods of time, specified as a number and a unit of time (e.g.,
            8 months, 2 years)
        email_address:
          description: Email address (e.g., support@assemblyai.com)
        event:
          description: Name of an event or holiday (e.g., Olympics, Yom Kippur)
        filename:
          description:
            Names of computer files, including the extension or filepath (e.g.,
            Taxes/2012/brad-tax-returns.pdf)
        gender_sexuality:
          description:
            Terms indicating gender identity or sexual orientation, including
            slang terms (e.g., female, bisexual, trans)
        healthcare_number:
          description:
            "Healthcare numbers and health plan beneficiary numbers (e.g.,
            Policy No.: 5584-486-674-YM)"
        injury:
          description: Bodily injury (e.g., I broke my arm, I have a sprained wrist)
        ip_address:
          description: Internet IP address, including IPv4 and IPv6 formats (e.g., 192.168.0.1)
        language:
          description: Name of a natural language (e.g., Spanish, French)
        location:
          description:
            Any Location reference including mailing address, postal code,
            city, state, province, country, or coordinates. (e.g., Lake Victoria, 145
            Windsor St., 90210)
        marital_status:
          description:
            Terms indicating marital status (e.g., Single, common-law, ex-wife,
            married)
        medical_condition:
          description:
            Name of a medical condition, disease, syndrome, deficit, or disorder
            (e.g., chronic fatigue syndrome, arrhythmia, depression)
        medical_process:
          description:
            Medical process, including treatments, procedures, and tests (e.g.,
            heart surgery, CT scan)
        money_amount:
          description: Name and/or amount of currency (e.g., 15 pesos, $94.50)
        nationality:
          description:
            Terms indicating nationality, ethnicity, or race (e.g., American,
            Asian, Caucasian)
        number_sequence:
          description:
            Numerical PII (including alphanumeric strings) that doesn't fall
            under other categories
        occupation:
          description: Job title or profession (e.g., professor, actors, engineer, CPA)
        organization:
          description:
            Name of an organization (e.g., CNN, McDonalds, University of Alaska,
            Northwest General Hospital)
        passport_number:
          description: Passport numbers, issued by any country (e.g., PA4568332, NU3C6L86S12)
        password:
          description:
            Account passwords, PINs, access keys, or verification answers (e.g.,
            27%alfalfa, temp1234, My mother's maiden name is Smith)
        person_age:
          description: Number associated with an age (e.g., 27, 75)
        person_name:
          description: Name of a person (e.g., Bob, Doug Jones, Dr. Kay Martinez, MD)
        phone_number:
          description: Telephone or fax number
        physical_attribute:
          description:
            Distinctive bodily attributes, including terms indicating race
            (e.g., I'm 190cm tall, He belongs to the Black students' association)
        political_affiliation:
          description:
            Terms referring to a political party, movement, or ideology (e.g.,
            Republican, Liberal)
        religion:
          description: Terms indicating religious affiliation (e.g., Hindu, Catholic)
        statistics:
          description: Medical statistics (e.g., 18%, 18 percent)
        time:
          description: Expressions indicating clock times (e.g., 19:37:28, 10pm EST)
        url:
          description: Internet addresses (e.g., https://www.assemblyai.com/)
        us_social_security_number:
          description: Social Security Number or equivalent
        username:
          description: Usernames, login names, or handles (e.g., @AssemblyAI)
        vehicle_id:
          description:
            Vehicle identification numbers (VINs), vehicle serial numbers,
            and license plate numbers (e.g., 5FNRL38918B111818, BIF7547)
        zodiac_sign:
          description: Names of Zodiac signs (e.g., Aries, Taurus)
      x-aai-enum:
        account_number:
          label: Account number
        banking_information:
          label: Banking information
        blood_type:
          label: Blood type
        credit_card_cvv:
          label: Credit card CVV
        credit_card_expiration:
          label: Credit card expiration
        credit_card_number:
          label: Credit card number
        date:
          label: Date
        date_interval:
          label: Date interval
        date_of_birth:
          label: Date of birth
        drivers_license:
          label: Driver's license
        drug:
          label: Drug
        duration:
          label: Duration
        email_address:
          label: Email address
        event:
          label: Event
        filename:
          label: Filename
        gender_sexuality:
          label: Gender sexuality
        healthcare_number:
          label: Healthcare number
        injury:
          label: Injury
        ip_address:
          label: IP address
        language:
          label: Language
        location:
          label: Location
        marital_status:
          label: Marital status
        medical_condition:
          label: Medical condition
        medical_process:
          label: Medical process
        money_amount:
          label: Money amount
        nationality:
          label: Nationality
        number_sequence:
          label: Number sequence
        occupation:
          label: Occupation
        organization:
          label: Organization
        passport_number:
          label: Passport number
        password:
          label: Password
        person_age:
          label: Person age
        person_name:
          label: Person name
        phone_number:
          label: Phone number
        physical_attribute:
          label: Physical attribute
        political_affiliation:
          label: Political affiliation
        religion:
          label: Religion
        statistics:
          label: Statistics
        time:
          label: Time
        url:
          label: URL
        us_social_security_number:
          label: US Social Security Number
        username:
          label: Username
        vehicle_id:
          label: Vehicle ID
        zodiac_sign:
          label: Zodiac sign

    SpeechModel:
      x-label: Speech model
      type: string
      description: The speech model to use for the transcription.
      x-fern-sdk-group-name: transcripts
      enum:
        - best
        - nano
      x-fern-enum:
        best:
          name: Best
          description: The best model optimized for accuracy.
        nano:
          name: Nano
          description: A lightweight, lower cost model for a wide range of languages.
      x-aai-enum:
        best:
          label: Best
        nano:
          label: Nano

    TranscriptLanguageCode:
      x-label: Language code
      type: string
      description: |
        The language of your audio file. Possible values are found in [Supported Languages](https://www.assemblyai.com/docs/concepts/supported-languages).
        The default value is 'en_us'.
      x-fern-sdk-group-name: transcripts
      enum:
        - en
        - en_au
        - en_uk
        - en_us
        - es
        - fr
        - de
        - it
        - pt
        - nl
        - af
        - sq
        - am
        - ar
        - hy
        - as
        - az
        - ba
        - eu
        - be
        - bn
        - bs
        - br
        - bg
        - my
        - ca
        - zh
        - hr
        - cs
        - da
        - et
        - fo
        - fi
        - gl
        - ka
        - el
        - gu
        - ht
        - ha
        - haw
        - he
        - hi
        - hu
        - is
        - id
        - ja
        - jw
        - kn
        - kk
        - km
        - ko
        - lo
        - la
        - lv
        - ln
        - lt
        - lb
        - mk
        - mg
        - ms
        - ml
        - mt
        - mi
        - mr
        - mn
        - ne
        - no
        - nn
        - oc
        - pa
        - ps
        - fa
        - pl
        - ro
        - ru
        - sa
        - sr
        - sn
        - sd
        - si
        - sk
        - sl
        - so
        - su
        - sw
        - sv
        - tl
        - tg
        - ta
        - tt
        - te
        - th
        - bo
        - tr
        - tk
        - uk
        - ur
        - uz
        - vi
        - cy
        - yi
        - yo
      x-aai-enum:
        en:
          label: English (global)
        en_au:
          label: English (Australian)
        en_uk:
          label: English (British)
        en_us:
          label: English (US)
        es:
          label: Spanish
        fr:
          label: French
        de:
          label: German
        it:
          label: Italian
        pt:
          label: Portuguese
        nl:
          label: Dutch
        af:
          label: Afrikaans
        sq:
          label: Albanian
        am:
          label: Amharic
        ar:
          label: Arabic
        hy:
          label: Armenian
        as:
          label: Assamese
        az:
          label: Azerbaijani
        ba:
          label: Bashkir
        eu:
          label: Basque
        be:
          label: Belarusian
        bn:
          label: Bengali
        bs:
          label: Bosnian
        br:
          label: Breton
        bg:
          label: Bulgarian
        my:
          label: Burmese
        ca:
          label: Catalan
        zh:
          label: Chinese
        hr:
          label: Croatian
        cs:
          label: Czech
        da:
          label: Danish
        et:
          label: Estonian
        fo:
          label: Faroese
        fi:
          label: Finnish
        gl:
          label: Galician
        ka:
          label: Georgian
        el:
          label: Greek
        gu:
          label: Gujarati
        ht:
          label: Haitian
        ha:
          label: Hausa
        haw:
          label: Hawaiian
        he:
          label: Hebrew
        hi:
          label: Hindi
        hu:
          label: Hungarian
        is:
          label: Icelandic
        id:
          label: Indonesian
        ja:
          label: Japanese
        jw:
          label: Javanese
        kn:
          label: Kannada
        kk:
          label: Kazakh
        km:
          label: Khmer
        ko:
          label: Korean
        lo:
          label: Lao
        la:
          label: Latin
        lv:
          label: Latvian
        ln:
          label: Lingala
        lt:
          label: Lithuanian
        lb:
          label: Luxembourgish
        mk:
          label: Macedonian
        mg:
          label: Malagasy
        ms:
          label: Malay
        ml:
          label: Malayalam
        mt:
          label: Maltese
        mi:
          label: Maori
        mr:
          label: Marathi
        mn:
          label: Mongolian
        ne:
          label: Nepali
        no:
          label: Norwegian
        nn:
          label: Norwegian Nynorsk
        oc:
          label: Occitan
        pa:
          label: Panjabi
        ps:
          label: Pashto
        fa:
          label: Persian
        pl:
          label: Polish
        ro:
          label: Romanian
        ru:
          label: Russian
        sa:
          label: Sanskrit
        sr:
          label: Serbian
        sn:
          label: Shona
        sd:
          label: Sindhi
        si:
          label: Sinhala
        sk:
          label: Slovak
        sl:
          label: Slovenian
        so:
          label: Somali
        su:
          label: Sundanese
        sw:
          label: Swahili
        sv:
          label: Swedish
        tl:
          label: Tagalog
        tg:
          label: Tajik
        ta:
          label: Tamil
        tt:
          label: Tatar
        te:
          label: Telugu
        th:
          label: Thai
        bo:
          label: Tibetan
        tr:
          label: Turkish
        tk:
          label: Turkmen
        uk:
          label: Ukrainian
        ur:
          label: Urdu
        uz:
          label: Uzbek
        vi:
          label: Vietnamese
        cy:
          label: Welsh
        yi:
          label: Yiddish
        yo:
          label: Yoruba

    TranscriptStatus:
      x-label: Status
      type: string
      description: The status of your transcript. Possible values are queued, processing, completed, or error.
      x-fern-sdk-group-name: transcripts
      enum:
        - queued
        - processing
        - completed
        - error
      x-fern-enum:
        queued:
          description: The audio file is in the queue to be processed by the API.
        processing:
          description: The audio file is being processed by the API.
        completed:
          description: The transcript job has been completed successfully.
        error:
          description: An error occurred while processing the audio file.
      x-aai-enum:
        queued:
          label: Queued
        processing:
          label: Processing
        completed:
          label: Completed
        error:
          label: Error

    TranscriptReadyStatus:
      x-label: Status
      type: string
      description: The status of the transcript. Either completed or error.
      x-fern-sdk-group-name: transcripts
      enum:
        - completed
        - error
      x-fern-enum:
        completed:
          description: The transcript job has been completed successfully.
        error:
          description: An error occurred while processing the audio file.
      x-aai-enum:
        completed:
          label: Completed
        error:
          label: Error

    Transcript:
      x-label: Transcript
      description: A transcript object
      type: object
      x-fern-sdk-group-name: transcripts
      additionalProperties: false
      properties:
        id:
          x-label: ID
          description: The unique identifier of your transcript
          type: string
          format: uuid

        audio_url:
          x-label: Audio URL
          description: The URL of the media that was transcribed
          type: string
          format: url

        status:
          x-label: Status
          description: The status of your transcript. Possible values are queued, processing, completed, or error.
          $ref: "#/components/schemas/TranscriptStatus"

        language_code:
          x-label: Language code
          description: |
            The language of your audio file.
            Possible values are found in [Supported Languages](https://www.assemblyai.com/docs/concepts/supported-languages).
            The default value is 'en_us'.
          anyOf:
            - $ref: "#/components/schemas/TranscriptLanguageCode"
            - type: string
          x-ts-type: LiteralUnion<TranscriptLanguageCode, string>
          x-go-type: TranscriptLanguageCode

        language_detection:
          x-label: Language detection
          description: Whether [Automatic language detection](https://www.assemblyai.com/docs/models/speech-recognition#automatic-language-detection) is enabled, either true or false
          type: [boolean, "null"]

        language_confidence_threshold:
          x-label: Language confidence threshold
          description: |
            The confidence threshold for the automatically detected language.
            An error will be returned if the language confidence is below this threshold.
          type: [number, "null"]
          format: float
          minimum: 0
          maximum: 1

        language_confidence:
          x-label: Language confidence
          description: The confidence score for the detected language, between 0.0 (low confidence) and 1.0 (high confidence)
          type: [number, "null"]
          format: double
          minimum: 0
          maximum: 1

        speech_model:
          x-label: Speech model
          description: The speech model used for the transcription. When `null`, the default model is used.
          default: null
          oneOf:
            - $ref: "#/components/schemas/SpeechModel"
            - type: "null"

        text:
          x-label: Text
          description: The textual transcript of your media file
          type: [string, "null"]

        words:
          x-label: Words
          description: |
            An array of temporally-sequential word objects, one for each word in the transcript.
            See [Speech recognition](https://www.assemblyai.com/docs/models/speech-recognition) for more information.
          type: [array, "null"]
          items:
            x-label: Word
            $ref: "#/components/schemas/TranscriptWord"

        utterances:
          x-label: Utterances
          description: |
            When dual_channel or speaker_labels is enabled, a list of turn-by-turn utterance objects.
            See [Speaker diarization](https://www.assemblyai.com/docs/models/speaker-diarization) for more information.
          type: [array, "null"]
          items:
            x-label: Utterance
            $ref: "#/components/schemas/TranscriptUtterance"

        confidence:
          x-label: Confidence
          description: The confidence score for the transcript, between 0.0 (low confidence) and 1.0 (high confidence)
          type: [number, "null"]
          format: double
          minimum: 0
          maximum: 1

        audio_duration:
          x-label: Audio duration
          description: The duration of this transcript object's media file, in seconds
          type: [integer, "null"]

        punctuate:
          x-label: Punctuate
          description: Whether Automatic Punctuation is enabled, either true or false
          type: [boolean, "null"]

        format_text:
          x-label: Format text
          description: Whether Text Formatting is enabled, either true or false
          type: [boolean, "null"]

        disfluencies:
          x-label: Disfluencies
          description: Transcribe Filler Words, like "umm", in your media file; can be true or false
          type: [boolean, "null"]

        multichannel:
          x-label: Multichannel
          description: Whether [Multichannel transcription](https://www.assemblyai.com/docs/models/speech-recognition#multichannel-transcription) was enabled in the transcription request, either true or false
          type: [boolean, "null"]

        audio_channels:
          x-label: Audio channels
          description: The number of audio channels in the audio file. This is only present when multichannel is enabled.
          type: integer

        dual_channel:
          x-label: Dual channel
          description: Whether [Dual channel transcription](https://www.assemblyai.com/docs/models/speech-recognition#dual-channel-transcription) was enabled in the transcription request, either true or false
          type: [boolean, "null"]
          deprecated: true

        webhook_url:
          x-label: Webhook URL
          description: |
            The URL to which we send webhook requests.
            We sends two different types of webhook requests.
            One request when a transcript is completed or failed, and one request when the redacted audio is ready if redact_pii_audio is enabled.
          type: [string, "null"]
          format: url

        webhook_status_code:
          x-label: Webhook HTTP status code
          description: The status code we received from your server when delivering the transcript completed or failed webhook request, if a webhook URL was provided
          type: [integer, "null"]

        webhook_auth:
          x-label: Webhook auth enabled
          description: Whether webhook authentication details were provided
          type: boolean

        webhook_auth_header_name:
          x-label: Webhook auth header name
          description: The header name to be sent with the transcript completed or failed webhook requests
          type: [string, "null"]

        speed_boost:
          x-label: Speed boost
          description: Whether speed boost is enabled
          type: [boolean, "null"]
          deprecated: true

        auto_highlights:
          x-label: Key Phrases
          description: Whether Key Phrases is enabled, either true or false
          type: boolean

        auto_highlights_result:
          x-label: Key Phrases result
          description: |
            An array of results for the Key Phrases model, if it is enabled.
            See [Key Phrases](https://www.assemblyai.com/docs/models/key-phrases) for more information.
          oneOf:
            - $ref: "#/components/schemas/AutoHighlightsResult"
            - type: "null"

        audio_start_from:
          x-label: Audio start from
          description: The point in time, in milliseconds, in the file at which the transcription was started
          type: [integer, "null"]

        audio_end_at:
          x-label: Audio end at
          description: The point in time, in milliseconds, in the file at which the transcription was terminated
          type: [integer, "null"]

        word_boost:
          x-label: Word boost
          description: The list of custom vocabulary to boost transcription probability for
          type: array
          items:
            x-label: Boosted word
            type: string

        boost_param:
          x-label: Boost
          description: The word boost parameter value
          type: [string, "null"]

        filter_profanity:
          x-label: Filter profanity
          description: Whether [Profanity Filtering](https://www.assemblyai.com/docs/models/speech-recognition#profanity-filtering) is enabled, either true or false
          type: [boolean, "null"]

        redact_pii:
          x-label: Redact PII
          description: Whether [PII Redaction](https://www.assemblyai.com/docs/models/pii-redaction) is enabled, either true or false
          type: boolean

        redact_pii_audio:
          x-label: Redact PII audio
          description: |
            Whether a redacted version of the audio file was generated,
            either true or false. See [PII redaction](https://www.assemblyai.com/docs/models/pii-redaction) for more information.
          type: [boolean, "null"]

        redact_pii_audio_quality:
          x-label: Redact PII audio quality
          description: |
            The audio quality of the PII-redacted audio file, if redact_pii_audio is enabled.
            See [PII redaction](https://www.assemblyai.com/docs/models/pii-redaction) for more information.
          oneOf:
            - $ref: "#/components/schemas/RedactPiiAudioQuality"
            - type: "null"

        redact_pii_policies:
          x-label: Redact PII policies
          description: |
            The list of PII Redaction policies that were enabled, if PII Redaction is enabled.
            See [PII redaction](https://www.assemblyai.com/docs/models/pii-redaction) for more information.
          type: [array, "null"]
          items:
            x-label: PII policy
            $ref: "#/components/schemas/PiiPolicy"

        redact_pii_sub:
          x-label: Redact PII substitution
          description: The replacement logic for detected PII, can be "entity_type" or "hash". See [PII redaction](https://www.assemblyai.com/docs/models/pii-redaction) for more details.
          $ref: "#/components/schemas/SubstitutionPolicy"

        speaker_labels:
          x-label: Speaker labels
          description: Whether [Speaker diarization](https://www.assemblyai.com/docs/models/speaker-diarization) is enabled, can be true or false
          type: [boolean, "null"]

        speakers_expected:
          x-label: Speakers expected
          description: Tell the speaker label model how many speakers it should attempt to identify, up to 10. See [Speaker diarization](https://www.assemblyai.com/docs/models/speaker-diarization) for more details.
          type: [integer, "null"]

        content_safety:
          x-label: Content Moderation
          description: Whether [Content Moderation](https://www.assemblyai.com/docs/models/content-moderation) is enabled, can be true or false
          type: [boolean, "null"]

        content_safety_labels:
          x-label: Content Moderation labels
          description: |
            An array of results for the Content Moderation model, if it is enabled.
            See [Content moderation](https://www.assemblyai.com/docs/models/content-moderation) for more information.
          oneOf:
            - $ref: "#/components/schemas/ContentSafetyLabelsResult"
            - type: "null"

        iab_categories:
          x-label: Topic Detection
          description: Whether [Topic Detection](https://www.assemblyai.com/docs/models/topic-detection) is enabled, can be true or false
          type: [boolean, "null"]

        iab_categories_result:
          x-label: Topic Detection result
          description: |
            The result of the Topic Detection model, if it is enabled.
            See [Topic Detection](https://www.assemblyai.com/docs/models/topic-detection) for more information.
          oneOf:
            - $ref: "#/components/schemas/TopicDetectionModelResult"
            - type: "null"

        custom_spelling:
          x-label: Custom spellings
          description: Customize how words are spelled and formatted using to and from values
          type: [array, "null"]
          items:
            x-label: Custom spelling
            $ref: "#/components/schemas/TranscriptCustomSpelling"

        auto_chapters:
          x-label: Auto Chapters enabled
          description: Whether [Auto Chapters](https://www.assemblyai.com/docs/models/auto-chapters) is enabled, can be true or false
          type: [boolean, "null"]

        chapters:
          x-label: Chapters
          description: An array of temporally sequential chapters for the audio file
          type: [array, "null"]
          items:
            x-label: Chapter
            $ref: "#/components/schemas/Chapter"

        summarization:
          x-label: Summarization enabled
          description: Whether [Summarization](https://www.assemblyai.com/docs/models/summarization) is enabled, either true or false
          type: boolean

        summary_type:
          x-label: Summary type
          description: The type of summary generated, if [Summarization](https://www.assemblyai.com/docs/models/summarization) is enabled
          type: [string, "null"]

        summary_model:
          x-label: Summary model
          description: |
            The Summarization model used to generate the summary,
            if [Summarization](https://www.assemblyai.com/docs/models/summarization) is enabled
          type: [string, "null"]

        summary:
          x-label: Summary
          description: The generated summary of the media file, if [Summarization](https://www.assemblyai.com/docs/models/summarization) is enabled
          type: [string, "null"]

        custom_topics:
          x-label: Custom topics enabled
          description: Whether custom topics is enabled, either true or false
          type: [boolean, "null"]

        topics:
          x-label: Topics
          description: The list of custom topics provided if custom topics is enabled
          type: array
          items:
            x-label: Topic
            type: string

        sentiment_analysis:
          x-label: Sentiment Analysis
          description: Whether [Sentiment Analysis](https://www.assemblyai.com/docs/models/sentiment-analysis) is enabled, can be true or false
          type: [boolean, "null"]

        sentiment_analysis_results:
          x-label: Sentiment Analysis results
          description: |
            An array of results for the Sentiment Analysis model, if it is enabled.
            See [Sentiment Analysis](https://www.assemblyai.com/docs/models/sentiment-analysis) for more information.
          type: [array, "null"]
          items:
            x-label: Sentiment Analysis result
            $ref: "#/components/schemas/SentimentAnalysisResult"

        entity_detection:
          x-label: Entity Detection
          description: Whether [Entity Detection](https://www.assemblyai.com/docs/models/entity-detection) is enabled, can be true or false
          type: [boolean, "null"]

        entities:
          x-label: Entities
          description: |
            An array of results for the Entity Detection model, if it is enabled.
            See [Entity detection](https://www.assemblyai.com/docs/models/entity-detection) for more information.
          type: [array, "null"]
          items:
            x-label: Entity
            $ref: "#/components/schemas/Entity"

        speech_threshold:
          x-label: Speech threshold
          description: |
            Defaults to null. Reject audio files that contain less than this fraction of speech.
            Valid values are in the range [0, 1] inclusive.
          type: [number, "null"]
          minimum: 0
          maximum: 1
          format: float

        throttled:
          x-label: Throttled
          description: True while a request is throttled and false when a request is no longer throttled
          type: [boolean, "null"]

        error:
          x-label: Error
          description: Error message of why the transcript failed
          type: string

        language_model:
          x-label: Language model
          description: The language model that was used for the transcript
          type: string
          deprecated: true

        acoustic_model:
          x-label: Acoustic model
          description: The acoustic model that was used for the transcript
          type: string
          deprecated: true

      required:
        - id
        - speech_model
        - language_model
        - acoustic_model
        - status
        - audio_url
        - webhook_auth
        - auto_highlights
        - redact_pii
        - summarization
        - language_confidence_threshold
        - language_confidence
      example:
        {
          id: "9ea68fd3-f953-42c1-9742-976c447fb463",
          speech_model: null,
          language_model: "assemblyai_default",
          acoustic_model: "assemblyai_default",
          language_code: "en_us",
          language_detection: true,
          language_confidence_threshold: 0.7,
          language_confidence: 0.9959,
          status: "completed",
          audio_url: "https://assembly.ai/wildfires.mp3",
          text: "Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. And in some places, the air quality warnings include the warning to stay inside. We wanted to better understand what's happening here and why, so we called Peter de Carlo, an associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University Varsity. Good morning, professor. Good morning. What is it about the conditions right now that have caused this round of wildfires to affect so many people so far away? Well, there's a couple of things. The season has been pretty dry already. And then the fact that we're getting hit in the US. Is because there's a couple of weather systems that are essentially channeling the smoke from those Canadian wildfires through Pennsylvania into the Mid Atlantic and the Northeast and kind of just dropping the smoke there. So what is it in this haze that makes it harmful? And I'm assuming it is harmful. It is. The levels outside right now in Baltimore are considered unhealthy. And most of that is due to what's called particulate matter, which are tiny particles, microscopic smaller than the width of your hair that can get into your lungs and impact your respiratory system, your cardiovascular system, and even your neurological your brain. What makes this particularly harmful? Is it the volume of particulant? Is it something in particular? What is it exactly? Can you just drill down on that a little bit more? Yeah. So the concentration of particulate matter I was looking at some of the monitors that we have was reaching levels of what are, in science, big 150 micrograms per meter cubed, which is more than ten times what the annual average should be and about four times higher than what you're supposed to have on a 24 hours average. And so the concentrations of these particles in the air are just much, much higher than we typically see. And exposure to those high levels can lead to a host of health problems. And who is most vulnerable? I noticed that in New York City, for example, they're canceling outdoor activities. And so here it is in the early days of summer, and they have to keep all the kids inside. So who tends to be vulnerable in a situation like this? It's the youngest. So children, obviously, whose bodies are still developing. The elderly, who are their bodies are more in decline and they're more susceptible to the health impacts of breathing, the poor air quality. And then people who have preexisting health conditions, people with respiratory conditions or heart conditions can be triggered by high levels of air pollution. Could this get worse? That's a good question. In some areas, it's much worse than others. And it just depends on kind of where the smoke is concentrated. I think New York has some of the higher concentrations right now, but that's going to change as that air moves away from the New York area. But over the course of the next few days, we will see different areas being hit at different times with the highest concentrations. I was going to ask you about more fires start burning. I don't expect the concentrations to go up too much higher. I was going to ask you how and you started to answer this, but how much longer could this last? Or forgive me if I'm asking you to speculate, but what do you think? Well, I think the fires are going to burn for a little bit longer, but the key for us in the US. Is the weather system changing. And so right now, it's kind of the weather systems that are pulling that air into our mid Atlantic and Northeast region. As those weather systems change and shift, we'll see that smoke going elsewhere and not impact us in this region as much. And so I think that's going to be the defining factor. And I think the next couple of days we're going to see a shift in that weather pattern and start to push the smoke away from where we are. And finally, with the impacts of climate change, we are seeing more wildfires. Will we be seeing more of these kinds of wide ranging air quality consequences or circumstances? I mean, that is one of the predictions for climate change. Looking into the future, the fire season is starting earlier and lasting longer, and we're seeing more frequent fires. So, yeah, this is probably something that we'll be seeing more frequently. This tends to be much more of an issue in the Western US. So the eastern US. Getting hit right now is a little bit new. But yeah, I think with climate change moving forward, this is something that is going to happen more frequently. That's Peter De Carlo, associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University. Sergeant Carlo, thanks so much for joining us and sharing this expertise with us. Thank you for having me.",
          words:
            [
              {
                text: "Smoke",
                start: 250,
                end: 650,
                confidence: 0.97465,
                speaker: null,
              },
              {
                text: "from",
                start: 730,
                end: 1022,
                confidence: 0.99999,
                speaker: null,
              },
              {
                text: "hundreds",
                start: 1076,
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                confidence: 0.99844,
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              {
                text: "of",
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              {
                text: "wildfires",
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                confidence: 0.89572,
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              {
                text: "in",
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              {
                text: "Canada",
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                end: 3130,
                confidence: 0.93953,
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              {
                text: "is",
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              {
                text: "triggering",
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              {
                text: "air",
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              {
                text: "quality",
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              {
                text: "alerts",
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                text: "throughout",
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                text: "the",
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              {
                text: "US.",
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            ],
          utterances:
            [
              {
                confidence: 0.9359033333333334,
                end: 26950,
                speaker: "A",
                start: 250,
                text: "Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. And in some places, the air quality warnings include the warning to stay inside. We wanted to better understand what's happening here and why, so we called Peter de Carlo, an associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University Varsity. Good morning, professor.",
                words:
                  [
                    {
                      text: "Smoke",
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                      confidence: 0.97503,
                      speaker: "A",
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                      text: "from",
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                      text: "triggering",
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                      text: "air",
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                      text: "quality",
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                      text: "the",
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                      text: "US.",
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                      speaker: "A",
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            ],
          confidence: 0.9404651451800253,
          audio_duration: 281,
          punctuate: true,
          format_text: true,
          multichannel: false,
          dual_channel: false,
          webhook_url: "https://your-webhook-url.tld/path",
          webhook_status_code: 200,
          webhook_auth: true,
          webhook_auth_header_name: "webhook-secret",
          auto_highlights_result:
            {
              status: "success",
              results:
                [
                  {
                    count: 1,
                    rank: 0.08,
                    text: "air quality alerts",
                    timestamps: [{ start: 3978, end: 5114 }],
                  },
                  {
                    count: 1,
                    rank: 0.08,
                    text: "wide ranging air quality consequences",
                    timestamps: [{ start: 235388, end: 238694 }],
                  },
                  {
                    count: 1,
                    rank: 0.07,
                    text: "more wildfires",
                    timestamps: [{ start: 230972, end: 232354 }],
                  },
                  {
                    count: 1,
                    rank: 0.07,
                    text: "air pollution",
                    timestamps: [{ start: 156004, end: 156910 }],
                  },
                  {
                    count: 3,
                    rank: 0.07,
                    text: "weather systems",
                    timestamps:
                      [
                        { start: 47344, end: 47958 },
                        { start: 205268, end: 205818 },
                        { start: 211588, end: 213434 },
                      ],
                  },
                  {
                    count: 2,
                    rank: 0.06,
                    text: "high levels",
                    timestamps:
                      [
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                        { start: 155412, end: 155866 },
                      ],
                  },
                  {
                    count: 1,
                    rank: 0.06,
                    text: "health conditions",
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                    count: 2,
                    rank: 0.06,
                    text: "Peter de Carlo",
                    timestamps:
                      [
                        { start: 18948, end: 19930 },
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                      ],
                  },
                  {
                    count: 1,
                    rank: 0.06,
                    text: "New York City",
                    timestamps: [{ start: 125768, end: 126274 }],
                  },
                  {
                    count: 1,
                    rank: 0.05,
                    text: "respiratory conditions",
                    timestamps: [{ start: 152964, end: 153786 }],
                  },
                  {
                    count: 3,
                    rank: 0.05,
                    text: "New York",
                    timestamps:
                      [
                        { start: 125768, end: 126034 },
                        { start: 171448, end: 171938 },
                        { start: 176008, end: 176322 },
                      ],
                  },
                  {
                    count: 3,
                    rank: 0.05,
                    text: "climate change",
                    timestamps:
                      [
                        { start: 229548, end: 230230 },
                        { start: 244576, end: 245162 },
                        { start: 263348, end: 263950 },
                      ],
                  },
                  {
                    count: 1,
                    rank: 0.05,
                    text: "Johns Hopkins University Varsity",
                    timestamps: [{ start: 23972, end: 25490 }],
                  },
                  {
                    count: 1,
                    rank: 0.05,
                    text: "heart conditions",
                    timestamps: [{ start: 153988, end: 154506 }],
                  },
                  {
                    count: 1,
                    rank: 0.05,
                    text: "air quality warnings",
                    timestamps: [{ start: 12308, end: 13434 }],
                  },
                ],
            },
          auto_highlights: true,
          audio_start_from: 10,
          audio_end_at: 280,
          word_boost: ["aws", "azure", "google cloud"],
          boost_param: "high",
          filter_profanity: true,
          redact_pii: true,
          redact_pii_audio: true,
          redact_pii_audio_quality: "mp3",
          redact_pii_policies:
            ["us_social_security_number", "credit_card_number"],
          redact_pii_sub: "hash",
          speaker_labels: true,
          content_safety: true,
          iab_categories: true,
          content_safety_labels:
            {
              status: "success",
              results:
                [
                  {
                    text: "Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. And in some places, the air quality warnings include the warning to stay inside. We wanted to better understand what's happening here and why, so we called Peter de Carlo, an associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University Varsity. Good morning, professor. Good morning.",
                    labels:
                      [
                        {
                          label: "disasters",
                          confidence: 0.8142836093902588,
                          severity: 0.4093044400215149,
                        },
                      ],
                    sentences_idx_start: 0,
                    sentences_idx_end: 5,
                    timestamp: { start: 250, end: 28840 },
                  },
                ],
              summary:
                {
                  disasters: 0.9940800441842205,
                  health_issues: 0.9216489289040967,
                },
              severity_score_summary:
                {
                  disasters:
                    {
                      low: 0.5733263024656846,
                      medium: 0.42667369753431533,
                      high: 0.0,
                    },
                  health_issues:
                    {
                      low: 0.22863814977924785,
                      medium: 0.45014154926938227,
                      high: 0.32122030095136983,
                    },
                },
            },
          iab_categories_result:
            {
              status: "success",
              results:
                [
                  {
                    text: "Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. And in some places, the air quality warnings include the warning to stay inside. We wanted to better understand what's happening here and why, so we called Peter de Carlo, an associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University Varsity. Good morning, professor. Good morning.",
                    labels:
                      [
                        {
                          relevance: 0.988274097442627,
                          label: "Home&Garden>IndoorEnvironmentalQuality",
                        },
                        {
                          relevance: 0.5821335911750793,
                          label: "NewsAndPolitics>Weather",
                        },
                        {
                          relevance: 0.0042327106930315495,
                          label: "MedicalHealth>DiseasesAndConditions>LungAndRespiratoryHealth",
                        },
                        {
                          relevance: 0.0033971222583204508,
                          label: "NewsAndPolitics>Disasters",
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                        {
                          relevance: 0.002469958271831274,
                          label: "BusinessAndFinance>Business>GreenSolutions",
                        },
                        {
                          relevance: 0.0014376690378412604,
                          label: "MedicalHealth>DiseasesAndConditions>Cancer",
                        },
                        {
                          relevance: 0.0014294233405962586,
                          label: "Science>Environment",
                        },
                        {
                          relevance: 0.001234519761055708,
                          label: "Travel>TravelLocations>PolarTravel",
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                        {
                          relevance: 0.0010231725173071027,
                          label: "MedicalHealth>DiseasesAndConditions>ColdAndFlu",
                        },
                        {
                          relevance: 0.0007445293595083058,
                          label: "BusinessAndFinance>Industries>PowerAndEnergyIndustry",
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                      ],
                    timestamp: { start: 250, end: 28840 },
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                ],
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                {
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                  "NewsAndPolitics>Disasters": 0.05041387677192688,
                  "Travel>TravelLocations>PolarTravel": 0.01308488193899393,
                  HealthyLiving: 0.008222488686442375,
                  "MedicalHealth>DiseasesAndConditions>ColdAndFlu": 0.0022315620444715023,
                  "MedicalHealth>DiseasesAndConditions>HeartAndCardiovascularDiseases": 0.00213034451007843,
                  "HealthyLiving>Wellness>SmokingCessation": 0.001540527562610805,
                  "MedicalHealth>DiseasesAndConditions>Injuries": 0.0013950627762824297,
                  "BusinessAndFinance>Industries>PowerAndEnergyIndustry": 0.0012570273829624057,
                  "MedicalHealth>DiseasesAndConditions>Cancer": 0.001097781932912767,
                  "MedicalHealth>DiseasesAndConditions>Allergies": 0.0010148967849090695,
                  "MedicalHealth>DiseasesAndConditions>MentalHealth": 0.000717321818228811,
                  "Style&Fashion>PersonalCare>DeodorantAndAntiperspirant": 0.0006022014422342181,
                  "Technology&Computing>Computing>ComputerNetworking": 0.0005461975233629346,
                  "MedicalHealth>DiseasesAndConditions>Injuries>FirstAid": 0.0004885646631009877,
                },
            },
          custom_spelling: null,
          throttled: null,
          auto_chapters: true,
          summarization: true,
          summary_type: "bullets",
          summary_model: "informative",
          custom_topics: true,
          topics: [],
          speech_threshold: 0.5,
          disfluencies: false,
          sentiment_analysis: true,
          chapters:
            [
              {
                summary: "Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. In some places, the air quality warnings include the warning to stay inside.",
                gist: "Smoggy air quality alerts across US",
                headline: "Smoke from hundreds of wildfires in Canada is triggering air quality alerts across US",
                start: 250,
                end: 28840,
              },
              {
                summary: "Air pollution levels in Baltimore are considered unhealthy. Exposure to high levels can lead to a host of health problems. With climate change, we are seeing more wildfires. Will we be seeing more of these kinds of wide ranging air quality consequences?",
                gist: "What is it about the conditions right now that have caused this round",
                headline: "High particulate matter in wildfire smoke can lead to serious health problems",
                start: 29610,
                end: 280340,
              },
            ],
          sentiment_analysis_results: null,
          entity_detection: true,
          entities:
            [
              {
                entity_type: "location",
                text: "Canada",
                start: 2548,
                end: 3130,
              },
              {
                entity_type: "location",
                text: "the US",
                start: 5498,
                end: 6382,
              },
              {
                entity_type: "location",
                text: "Maine",
                start: 7492,
                end: 7914,
              },
              {
                entity_type: "location",
                text: "Maryland",
                start: 8212,
                end: 8634,
              },
              {
                entity_type: "location",
                text: "Minnesota",
                start: 8932,
                end: 9578,
              },
              {
                entity_type: "person_name",
                text: "Peter de Carlo",
                start: 18948,
                end: 19930,
              },
              {
                entity_type: "occupation",
                text: "associate professor",
                start: 20292,
                end: 21194,
              },
              {
                entity_type: "organization",
                text: "Department of Environmental Health and Engineering",
                start: 21508,
                end: 23706,
              },
              {
                entity_type: "organization",
                text: "Johns Hopkins University Varsity",
                start: 23972,
                end: 25490,
              },
              {
                entity_type: "occupation",
                text: "professor",
                start: 26076,
                end: 26950,
              },
              {
                entity_type: "location",
                text: "the US",
                start: 45184,
                end: 45898,
              },
              {
                entity_type: "nationality",
                text: "Canadian",
                start: 49728,
                end: 50086,
              },
            ],
          summary: '- Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. In some places, the air quality warnings include the warning to stay inside.\n- Air pollution levels in Baltimore are considered unhealthy. Exposure to high levels can lead to a host of health problems. With climate change, we are seeing more wildfires. Will we be seeing more of these kinds of wide ranging air quality consequences?',
          speakers_expected: 2,
        }

    TopicDetectionModelResult:
      x-label: Topic Detection result
      description: |
        The result of the Topic Detection model, if it is enabled.
        See [Topic Detection](https://www.assemblyai.com/docs/models/topic-detection) for more information.
      x-fern-sdk-group-name: transcripts
      type: object
      required:
        - status
        - results
        - summary
      properties:
        status:
          x-label: Status
          description: The status of the Topic Detection model. Either success, or unavailable in the rare case that the model failed.
          $ref: "#/components/schemas/AudioIntelligenceModelStatus"
        results:
          x-label: Results
          description: An array of results for the Topic Detection model
          type: array
          items:
            x-label: Topic Detection result
            $ref: "#/components/schemas/TopicDetectionResult"
        summary:
          x-label: Summary
          description: The overall relevance of topic to the entire audio file
          type: object
          additionalProperties:
            type: number
            format: double
            minimum: 0
            maximum: 1
      example:
        {
          status: "success",
          results:
            [
              {
                text: "Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. And in some places, the air quality warnings include the warning to stay inside. We wanted to better understand what's happening here and why, so we called Peter de Carlo, an associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University Varsity. Good morning, professor. Good morning.",
                labels:
                  [
                    {
                      relevance: 0.988274097442627,
                      label: "Home&Garden>IndoorEnvironmentalQuality",
                    },
                    {
                      relevance: 0.5821335911750793,
                      label: "NewsAndPolitics>Weather",
                    },
                    {
                      relevance: 0.0042327106930315495,
                      label: "MedicalHealth>DiseasesAndConditions>LungAndRespiratoryHealth",
                    },
                    {
                      relevance: 0.0033971222583204508,
                      label: "NewsAndPolitics>Disasters",
                    },
                    {
                      relevance: 0.002469958271831274,
                      label: "BusinessAndFinance>Business>GreenSolutions",
                    },
                    {
                      relevance: 0.0014376690378412604,
                      label: "MedicalHealth>DiseasesAndConditions>Cancer",
                    },
                    {
                      relevance: 0.0014294233405962586,
                      label: "Science>Environment",
                    },
                    {
                      relevance: 0.001234519761055708,
                      label: "Travel>TravelLocations>PolarTravel",
                    },
                    {
                      relevance: 0.0010231725173071027,
                      label: "MedicalHealth>DiseasesAndConditions>ColdAndFlu",
                    },
                    {
                      relevance: 0.0007445293595083058,
                      label: "BusinessAndFinance>Industries>PowerAndEnergyIndustry",
                    },
                  ],
                timestamp: { start: 250, end: 28840 },
              },
            ],
          summary:
            {
              "NewsAndPolitics>Weather": 1.0,
              "Home&Garden>IndoorEnvironmentalQuality": 0.9043831825256348,
              "Science>Environment": 0.16117265820503235,
              "BusinessAndFinance>Industries>EnvironmentalServicesIndustry": 0.14393523335456848,
              "MedicalHealth>DiseasesAndConditions>LungAndRespiratoryHealth": 0.11401086300611496,
              "BusinessAndFinance>Business>GreenSolutions": 0.06348437070846558,
              "NewsAndPolitics>Disasters": 0.05041387677192688,
              "Travel>TravelLocations>PolarTravel": 0.01308488193899393,
              HealthyLiving: 0.008222488686442375,
              "MedicalHealth>DiseasesAndConditions>ColdAndFlu": 0.0022315620444715023,
              "MedicalHealth>DiseasesAndConditions>HeartAndCardiovascularDiseases": 0.00213034451007843,
              "HealthyLiving>Wellness>SmokingCessation": 0.001540527562610805,
              "MedicalHealth>DiseasesAndConditions>Injuries": 0.0013950627762824297,
              "BusinessAndFinance>Industries>PowerAndEnergyIndustry": 0.0012570273829624057,
              "MedicalHealth>DiseasesAndConditions>Cancer": 0.001097781932912767,
              "MedicalHealth>DiseasesAndConditions>Allergies": 0.0010148967849090695,
              "MedicalHealth>DiseasesAndConditions>MentalHealth": 0.000717321818228811,
              "Style&Fashion>PersonalCare>DeodorantAndAntiperspirant": 0.0006022014422342181,
              "Technology&Computing>Computing>ComputerNetworking": 0.0005461975233629346,
              "MedicalHealth>DiseasesAndConditions>Injuries>FirstAid": 0.0004885646631009877,
            },
        }

    ContentSafetyLabelsResult:
      x-label: Content Moderation labels result
      description: |
        An array of results for the Content Moderation model, if it is enabled.
        See [Content moderation](https://www.assemblyai.com/docs/models/content-moderation) for more information.
      x-fern-sdk-group-name: transcripts
      type: object
      required:
        - status
        - results
        - summary
        - severity_score_summary
      properties:
        status:
          x-label: Status
          description: The status of the Content Moderation model. Either success, or unavailable in the rare case that the model failed.
          $ref: "#/components/schemas/AudioIntelligenceModelStatus"
        results:
          x-label: Results
          description: An array of results for the Content Moderation model
          type: array
          items:
            x-label: Content Moderation label result
            $ref: "#/components/schemas/ContentSafetyLabelResult"
        summary:
          x-label: Summary
          description: A summary of the Content Moderation confidence results for the entire audio file
          type: object
          additionalProperties:
            description: A confidence score for the presence of the sensitive topic "topic" across the entire audio file
            type: number
            format: double
            minimum: 0
            maximum: 1
        severity_score_summary:
          x-label: Severity score summary
          description: A summary of the Content Moderation severity results for the entire audio file
          type: object
          additionalProperties:
            $ref: "#/components/schemas/SeverityScoreSummary"
      example:
        {
          status: "success",
          results:
            [
              {
                text: "Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. And in some places, the air quality warnings include the warning to stay inside. We wanted to better understand what's happening here and why, so we called Peter de Carlo, an associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University Varsity. Good morning, professor. Good morning.",
                labels:
                  [
                    {
                      label: "disasters",
                      confidence: 0.8142836093902588,
                      severity: 0.4093044400215149,
                    },
                  ],
                sentences_idx_start: 0,
                sentences_idx_end: 5,
                timestamp: { start: 250, end: 28840 },
              },
            ],
          summary:
            {
              disasters: 0.9940800441842205,
              health_issues: 0.9216489289040967,
            },
          severity_score_summary:
            {
              disasters:
                {
                  low: 0.5733263024656846,
                  medium: 0.42667369753431533,
                  high: 0.0,
                },
              health_issues:
                {
                  low: 0.22863814977924785,
                  medium: 0.45014154926938227,
                  high: 0.32122030095136983,
                },
            },
        }

    Chapter:
      x-label: Chapter
      description: Chapter of the audio file
      x-fern-sdk-group-name: transcripts
      type: object
      additionalProperties: false
      required:
        - gist
        - headline
        - summary
        - start
        - end
      properties:
        gist:
          x-label: Gist
          description: An ultra-short summary (just a few words) of the content spoken in the chapter
          type: string
        headline:
          x-label: Headline
          description: A single sentence summary of the content spoken during the chapter
          type: string
        summary:
          x-label: Summary
          description: A one paragraph summary of the content spoken during the chapter
          type: string
        start:
          x-label: Start
          description: The starting time, in milliseconds, for the chapter
          type: integer
        end:
          x-label: End
          description: The starting time, in milliseconds, for the chapter
          type: integer
      example:
        {
          summary: "Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. In some places, the air quality warnings include the warning to stay inside.",
          gist: "Smoggy air quality alerts across US",
          headline: "Smoke from hundreds of wildfires in Canada is triggering air quality alerts across US",
          start: 250,
          end: 28840,
        }

    Entity:
      x-label: Entity
      description: A detected entity
      x-fern-sdk-group-name: transcripts
      type: object
      additionalProperties: false
      required:
        - entity_type
        - text
        - start
        - end
      properties:
        entity_type:
          x-label: Entity type
          description: The type of entity for the detected entity
          $ref: "#/components/schemas/EntityType"
        text:
          x-label: Text
          description: The text for the detected entity
          type: string
        start:
          x-label: Start
          description: The starting time, in milliseconds, at which the detected entity appears in the audio file
          type: integer
        end:
          x-label: End
          description: The ending time, in milliseconds, for the detected entity in the audio file
          type: integer
      example:
        { entity_type: "location", text: "Canada", start: 2548, end: 3130 }

    EntityType:
      x-label: Entity type
      description: The type of entity for the detected entity
      x-fern-sdk-group-name: transcripts
      type: string
      enum:
        - account_number
        - banking_information
        - blood_type
        - credit_card_cvv
        - credit_card_expiration
        - credit_card_number
        - date
        - date_interval
        - date_of_birth
        - drivers_license
        - drug
        - duration
        - email_address
        - event
        - filename
        - gender_sexuality
        - healthcare_number
        - injury
        - ip_address
        - language
        - location
        - marital_status
        - medical_condition
        - medical_process
        - money_amount
        - nationality
        - number_sequence
        - occupation
        - organization
        - passport_number
        - password
        - person_age
        - person_name
        - phone_number
        - physical_attribute
        - political_affiliation
        - religion
        - statistics
        - time
        - url
        - us_social_security_number
        - username
        - vehicle_id
        - zodiac_sign
      x-fern-enum:
        account_number:
          description:
            "Customer account or membership identification number (e.g., Policy
            No. 10042992, Member ID: HZ-5235-001)"
        banking_information:
          description: Banking information, including account and routing numbers
        blood_type:
          description: Blood type (e.g., O-, AB positive)
        credit_card_cvv:
          description: "Credit card verification code (e.g., CVV: 080)"
        credit_card_expiration:
          description: Expiration date of a credit card
        credit_card_number:
          description: Credit card number
        date:
          description: Specific calendar date (e.g., December 18)
        date_interval:
          description:
            Broader time periods, including date ranges, months, seasons, years,
            and decades (e.g., 2020-2021, 5-9 May, January 1984)
        date_of_birth:
          description: "Date of birth (e.g., Date of Birth: March 7,1961)"
        drivers_license:
          description: Driver's license number. (e.g., DL# 356933-540)
        drug:
          description:
            Medications, vitamins, or supplements (e.g., Advil, Acetaminophen,
            Panadol)
        duration:
          description:
            Periods of time, specified as a number and a unit of time (e.g.,
            8 months, 2 years)
        email_address:
          description: Email address (e.g., support@assemblyai.com)
        event:
          description: Name of an event or holiday (e.g., Olympics, Yom Kippur)
        filename:
          description:
            Names of computer files, including the extension or filepath (e.g.,
            Taxes/2012/brad-tax-returns.pdf)
        gender_sexuality:
          description:
            Terms indicating gender identity or sexual orientation, including
            slang terms (e.g., female, bisexual, trans)
        healthcare_number:
          description:
            "Healthcare numbers and health plan beneficiary numbers (e.g.,
            Policy No.: 5584-486-674-YM)"
        injury:
          description: Bodily injury (e.g., I broke my arm, I have a sprained wrist)
        ip_address:
          description: Internet IP address, including IPv4 and IPv6 formats (e.g., 192.168.0.1)
        language:
          description: Name of a natural language (e.g., Spanish, French)
        location:
          description:
            Any Location reference including mailing address, postal code,
            city, state, province, country, or coordinates. (e.g., Lake Victoria, 145
            Windsor St., 90210)
        marital_status:
          description:
            Terms indicating marital status (e.g., Single, common-law, ex-wife,
            married)
        medical_condition:
          description:
            Name of a medical condition, disease, syndrome, deficit, or disorder
            (e.g., chronic fatigue syndrome, arrhythmia, depression)
        medical_process:
          description:
            Medical process, including treatments, procedures, and tests (e.g.,
            heart surgery, CT scan)
        money_amount:
          description: Name and/or amount of currency (e.g., 15 pesos, $94.50)
        nationality:
          description:
            Terms indicating nationality, ethnicity, or race (e.g., American,
            Asian, Caucasian)
        number_sequence:
          description:
            Numerical PII (including alphanumeric strings) that doesn't fall
            under other categories
        occupation:
          description: Job title or profession (e.g., professor, actors, engineer, CPA)
        organization:
          description:
            Name of an organization (e.g., CNN, McDonalds, University of Alaska,
            Northwest General Hospital)
        passport_number:
          description: Passport numbers, issued by any country (e.g., PA4568332, NU3C6L86S12)
        password:
          description:
            Account passwords, PINs, access keys, or verification answers (e.g.,
            27%alfalfa, temp1234, My mother's maiden name is Smith)
        person_age:
          description: Number associated with an age (e.g., 27, 75)
        person_name:
          description: Name of a person (e.g., Bob, Doug Jones, Dr. Kay Martinez, MD)
        phone_number:
          description: Telephone or fax number
        physical_attribute:
          description:
            Distinctive bodily attributes, including terms indicating race
            (e.g., I'm 190cm tall, He belongs to the Black students' association)
        political_affiliation:
          description:
            Terms referring to a political party, movement, or ideology (e.g.,
            Republican, Liberal)
        religion:
          description: Terms indicating religious affiliation (e.g., Hindu, Catholic)
        statistics:
          description: Medical statistics (e.g., 18%, 18 percent)
        time:
          description: Expressions indicating clock times (e.g., 19:37:28, 10pm EST)
        url:
          description: Internet addresses (e.g., https://www.assemblyai.com/)
        us_social_security_number:
          description: Social Security Number or equivalent
        username:
          description: Usernames, login names, or handles (e.g., @AssemblyAI)
        vehicle_id:
          description:
            Vehicle identification numbers (VINs), vehicle serial numbers,
            and license plate numbers (e.g., 5FNRL38918B111818, BIF7547)
        zodiac_sign:
          description: Names of Zodiac signs (e.g., Aries, Taurus)
      x-aai-enum:
        account_number:
          label: Account number
        banking_information:
          label: Banking information
        blood_type:
          label: Blood type
        credit_card_cvv:
          label: Credit card CVV
        credit_card_expiration:
          label: Credit card expiration
        credit_card_number:
          label: Credit card number
        date:
          label: Date
        date_interval:
          label: Date interval
        date_of_birth:
          label: Date of birth
        drivers_license:
          label: Driver's license
        drug:
          label: Drug
        duration:
          label: Duration
        email_address:
          label: Email address
        event:
          label: Event
        filename:
          label: Filename
        gender_sexuality:
          label: Gender sexuality
        healthcare_number:
          label: Healthcare number
        injury:
          label: Injury
        ip_address:
          label: IP address
        language:
          label: Language
        location:
          label: Location
        marital_status:
          label: Marital status
        medical_condition:
          label: Medical condition
        medical_process:
          label: Medical process
        money_amount:
          label: Money amount
        nationality:
          label: Nationality
        number_sequence:
          label: Number sequence
        occupation:
          label: Occupation
        organization:
          label: Organization
        passport_number:
          label: Passport number
        password:
          label: Password
        person_age:
          label: Person age
        person_name:
          label: Person name
        phone_number:
          label: Phone number
        physical_attribute:
          label: Physical attribute
        political_affiliation:
          label: Political affiliation
        religion:
          label: Religion
        statistics:
          label: Statistics
        time:
          label: Time
        url:
          label: URL
        us_social_security_number:
          label: US Social Security Number
        username:
          label: Username
        vehicle_id:
          label: Vehicle ID
        zodiac_sign:
          label: Zodiac sign

    SentimentAnalysisResult:
      x-label: Sentiment Analysis result
      description: The result of the Sentiment Analysis model
      x-fern-sdk-group-name: transcripts
      type: object
      additionalProperties: false
      required:
        - text
        - start
        - end
        - sentiment
        - confidence
        - speaker
      properties:
        text:
          x-label: Text
          description: The transcript of the sentence
          type: string
        start:
          x-label: Start
          description: The starting time, in milliseconds, of the sentence
          type: integer
        end:
          x-label: End
          description: The ending time, in milliseconds, of the sentence
          type: integer
        sentiment:
          x-label: Sentiment
          description: The detected sentiment for the sentence, one of POSITIVE, NEUTRAL, NEGATIVE
          $ref: "#/components/schemas/Sentiment"
        confidence:
          x-label: Confidence
          description: The confidence score for the detected sentiment of the sentence, from 0 to 1
          type: number
          format: double
          minimum: 0
          maximum: 1
        channel:
          x-label: Channel
          description: The channel of this utterance. The left and right channels are channels 1 and 2. Additional channels increment the channel number sequentially.
          type: [string, "null"]
        speaker:
          x-label: Speaker
          description: The speaker of the sentence if [Speaker Diarization](https://www.assemblyai.com/docs/models/speaker-diarization) is enabled, else null
          type: [string, "null"]
      example:
        {
          text: "Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US.",
          start: 250,
          end: 6350,
          sentiment: "NEGATIVE",
          confidence: 0.8181032538414001,
          speaker: null,
        }

    Sentiment:
      x-label: Sentiment
      x-fern-sdk-group-name: transcripts
      enum:
        - POSITIVE
        - NEUTRAL
        - NEGATIVE
      x-aai-enum:
        POSITIVE:
          label: Positive
        NEUTRAL:
          label: Neutral
        NEGATIVE:
          label: Negative

    TopicDetectionResult:
      x-label: Topic detection result
      description: The result of the topic detection model
      x-fern-sdk-group-name: transcripts
      type: object
      additionalProperties: false
      required:
        - text
      properties:
        text:
          x-label: Text
          description: The text in the transcript in which a detected topic occurs
          type: string
        labels:
          x-label: Labels
          description: An array of detected topics in the text
          type: array
          items:
            x-label: Label
            type: object
            additionalProperties: false
            required:
              - relevance
              - label
            properties:
              relevance:
                x-label: Relevance
                description: How relevant the detected topic is of a detected topic
                type: number
                format: double
                minimum: 0
                maximum: 1
              label:
                x-label: Label
                description: The IAB taxonomical label for the label of the detected topic, where > denotes supertopic/subtopic relationship
                type: string
        timestamp:
          x-label: Timestamp
          $ref: "#/components/schemas/Timestamp"
      example:
        {
          text: "Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. And in some places, the air quality warnings include the warning to stay inside. We wanted to better understand what's happening here and why, so we called Peter de Carlo, an associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University Varsity. Good morning, professor. Good morning.",
          labels:
            [
              {
                relevance: 0.988274097442627,
                label: "Home&Garden>IndoorEnvironmentalQuality",
              },
              {
                relevance: 0.5821335911750793,
                label: "NewsAndPolitics>Weather",
              },
              {
                relevance: 0.0042327106930315495,
                label: "MedicalHealth>DiseasesAndConditions>LungAndRespiratoryHealth",
              },
              {
                relevance: 0.0033971222583204508,
                label: "NewsAndPolitics>Disasters",
              },
              {
                relevance: 0.002469958271831274,
                label: "BusinessAndFinance>Business>GreenSolutions",
              },
              {
                relevance: 0.0014376690378412604,
                label: "MedicalHealth>DiseasesAndConditions>Cancer",
              },
              {
                relevance: 0.0014294233405962586,
                label: "Science>Environment",
              },
              {
                relevance: 0.001234519761055708,
                label: "Travel>TravelLocations>PolarTravel",
              },
              {
                relevance: 0.0010231725173071027,
                label: "MedicalHealth>DiseasesAndConditions>ColdAndFlu",
              },
              {
                relevance: 0.0007445293595083058,
                label: "BusinessAndFinance>Industries>PowerAndEnergyIndustry",
              },
            ],
          timestamp: { start: 250, end: 28840 },
        }

    ContentSafetyLabel:
      x-label: Content Moderation label
      type: object
      x-fern-sdk-group-name: transcripts
      additionalProperties: false
      required:
        - label
        - confidence
        - severity
      properties:
        label:
          x-label: Label
          description: The label of the sensitive topic
          type: string
        confidence:
          x-label: Confidence
          description: The confidence score for the topic being discussed, from 0 to 1
          type: number
          format: double
          minimum: 0
          maximum: 1
        severity:
          x-label: Severity
          description: How severely the topic is discussed in the section, from 0 to 1
          type: number
          format: double
          minimum: 0
          maximum: 1
      example:
        {
          label: "disasters",
          confidence: 0.8142836093902588,
          severity: 0.4093044400215149,
        }

    ContentSafetyLabelResult:
      x-label: Content Moderation label result
      type: object
      x-fern-sdk-group-name: transcripts
      additionalProperties: false
      required:
        - text
        - labels
        - sentences_idx_start
        - sentences_idx_end
        - timestamp
      properties:
        text:
          x-label: Text
          description: The transcript of the section flagged by the Content Moderation model
          type: string
        labels:
          x-label: Labels
          description: An array of safety labels, one per sensitive topic that was detected in the section
          type: array
          items:
            x-label: Label
            $ref: "#/components/schemas/ContentSafetyLabel"
        sentences_idx_start:
          x-label: Sentence index start
          description: The sentence index at which the section begins
          type: integer
        sentences_idx_end:
          x-label: Sentence index end
          description: The sentence index at which the section ends
          type: integer
        timestamp:
          x-label: Timestamp
          description: Timestamp information for the section
          $ref: "#/components/schemas/Timestamp"
      example:
        {
          text: "Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. And in some places, the air quality warnings include the warning to stay inside. We wanted to better understand what's happening here and why, so we called Peter de Carlo, an associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University Varsity. Good morning, professor. Good morning.",
          labels:
            [
              {
                label: "disasters",
                confidence: 0.8142836093902588,
                severity: 0.4093044400215149,
              },
            ],
          sentences_idx_start: 0,
          sentences_idx_end: 5,
          timestamp: { start: 250, end: 28840 },
        }

    SeverityScoreSummary:
      x-label: Severity score summary
      type: object
      x-fern-sdk-group-name: transcripts
      required:
        - low
        - medium
        - high
      properties:
        low:
          x-label: Low
          type: number
          format: double
          minimum: 0
          maximum: 1
        medium:
          x-label: Medium
          type: number
          format: double
          minimum: 0
          maximum: 1
        high:
          x-label: High
          type: number
          format: double
          minimum: 0
          maximum: 1
      example:
        { low: 0.5733263024656846, medium: 0.42667369753431533, high: 0.0 }

    AutoHighlightsResult:
      x-label: Auto highlights result
      description: |
        An array of results for the Key Phrases model, if it is enabled.
        See [Key phrases](https://www.assemblyai.com/docs/models/key-phrases) for more information.
      x-fern-sdk-group-name: transcripts
      type: object
      required:
        - status
        - results
      properties:
        status:
          x-label: Status
          description: The status of the Key Phrases model. Either success, or unavailable in the rare case that the model failed.
          $ref: "#/components/schemas/AudioIntelligenceModelStatus"
        results:
          x-label: Results
          description: A temporally-sequential array of Key Phrases
          type: array
          items:
            x-label: Auto highlight result
            $ref: "#/components/schemas/AutoHighlightResult"
      example:
        {
          status: "success",
          results:
            [
              {
                count: 1,
                rank: 0.08,
                text: "air quality alerts",
                timestamps: [{ start: 3978, end: 5114 }],
              },
              {
                count: 1,
                rank: 0.08,
                text: "wide ranging air quality consequences",
                timestamps: [{ start: 235388, end: 238694 }],
              },
              {
                count: 1,
                rank: 0.07,
                text: "more wildfires",
                timestamps: [{ start: 230972, end: 232354 }],
              },
              {
                count: 1,
                rank: 0.07,
                text: "air pollution",
                timestamps: [{ start: 156004, end: 156910 }],
              },
              {
                count: 3,
                rank: 0.07,
                text: "weather systems",
                timestamps:
                  [
                    { start: 47344, end: 47958 },
                    { start: 205268, end: 205818 },
                    { start: 211588, end: 213434 },
                  ],
              },
              {
                count: 2,
                rank: 0.06,
                text: "high levels",
                timestamps:
                  [
                    { start: 121128, end: 121646 },
                    { start: 155412, end: 155866 },
                  ],
              },
              {
                count: 1,
                rank: 0.06,
                text: "health conditions",
                timestamps: [{ start: 152138, end: 152666 }],
              },
              {
                count: 2,
                rank: 0.06,
                text: "Peter de Carlo",
                timestamps:
                  [
                    { start: 18948, end: 19930 },
                    { start: 268298, end: 269194 },
                  ],
              },
              {
                count: 1,
                rank: 0.06,
                text: "New York City",
                timestamps: [{ start: 125768, end: 126274 }],
              },
              {
                count: 1,
                rank: 0.05,
                text: "respiratory conditions",
                timestamps: [{ start: 152964, end: 153786 }],
              },
              {
                count: 3,
                rank: 0.05,
                text: "New York",
                timestamps:
                  [
                    { start: 125768, end: 126034 },
                    { start: 171448, end: 171938 },
                    { start: 176008, end: 176322 },
                  ],
              },
              {
                count: 3,
                rank: 0.05,
                text: "climate change",
                timestamps:
                  [
                    { start: 229548, end: 230230 },
                    { start: 244576, end: 245162 },
                    { start: 263348, end: 263950 },
                  ],
              },
              {
                count: 1,
                rank: 0.05,
                text: "Johns Hopkins University Varsity",
                timestamps: [{ start: 23972, end: 25490 }],
              },
              {
                count: 1,
                rank: 0.05,
                text: "heart conditions",
                timestamps: [{ start: 153988, end: 154506 }],
              },
              {
                count: 1,
                rank: 0.05,
                text: "air quality warnings",
                timestamps: [{ start: 12308, end: 13434 }],
              },
            ],
        }

    AutoHighlightResult:
      x-label: Auto highlight result
      type: object
      x-fern-sdk-group-name: transcripts
      additionalProperties: false
      required:
        - count
        - rank
        - text
        - timestamps
      properties:
        count:
          x-label: Count
          description: The total number of times the key phrase appears in the audio file
          type: integer
        rank:
          x-label: Rank
          description: The total relevancy to the overall audio file of this key phrase - a greater number means more relevant
          type: number
          format: float
          minimum: 0
          maximum: 1
        text:
          x-label: Text
          description: The text itself of the key phrase
          type: string
        timestamps:
          x-label: Timestamps
          description: The timestamp of the of the key phrase
          type: array
          items:
            x-label: Timestamp
            $ref: "#/components/schemas/Timestamp"
      example:
        {
          count: 1,
          rank: 0.08,
          text: "air quality alerts",
          timestamps: [{ start: 3978, end: 5114 }],
        }

    TranscriptWord:
      x-label: Word
      type: object
      x-fern-sdk-group-name: transcripts
      additionalProperties: false
      required:
        - confidence
        - start
        - end
        - text
        - speaker
      properties:
        confidence:
          x-label: Confidence
          description: The confidence score for the transcript of this word
          type: number
          format: double
          minimum: 0
          maximum: 1
        start:
          x-label: Start
          description: The starting time, in milliseconds, for the word
          type: integer
        end:
          x-label: End
          description: The ending time, in milliseconds, for the word
          type: integer
        text:
          x-label: Text
          description: The text of the word
          type: string
        channel:
          x-label: Channel
          description: The channel of the word. The left and right channels are channels 1 and 2. Additional channels increment the channel number sequentially.
          type: [string, "null"]
        speaker:
          x-label: Speaker
          description: The speaker of the word if [Speaker Diarization](https://www.assemblyai.com/docs/models/speaker-diarization) is enabled, else null
          type: [string, "null"]
      example:
        {
          text: "Smoke",
          start: 250,
          end: 650,
          confidence: 0.97465,
          channel: null,
          speaker: null,
        }

    TranscriptSentence:
      x-label: Sentence
      type: object
      x-fern-sdk-group-name: transcripts
      additionalProperties: false
      required:
        - text
        - start
        - end
        - confidence
        - words
        - speaker
      properties:
        text:
          x-label: Text
          description: The transcript of the sentence
          type: string
        start:
          x-label: Start
          description: The starting time, in milliseconds, for the sentence
          type: integer
        end:
          x-label: End
          description: The ending time, in milliseconds, for the sentence
          type: integer
        confidence:
          x-label: Confidence
          description: The confidence score for the transcript of this sentence
          type: number
          format: double
          minimum: 0
          maximum: 1
        words:
          x-label: Words
          description: An array of words in the sentence
          type: array
          items:
            x-label: Word
            $ref: "#/components/schemas/TranscriptWord"
        channel:
          x-label: Channel
          description: The channel of the sentence. The left and right channels are channels 1 and 2. Additional channels increment the channel number sequentially.
          type: [string, "null"]
        speaker:
          x-label: Speaker
          description: The speaker of the sentence if [Speaker Diarization](https://www.assemblyai.com/docs/models/speaker-diarization) is enabled, else null
          type: [string, "null"]
      example:
        {
          text: "Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US.",
          start: 250,
          end: 6350,
          confidence: 0.72412,
          words:
            [
              {
                text: "Smoke",
                start: 250,
                end: 650,
                confidence: 0.72412,
                speaker: null,
              },
              {
                text: "from",
                start: 730,
                end: 1022,
                confidence: 0.99996,
                speaker: null,
              },
              {
                text: "hundreds",
                start: 1076,
                end: 1466,
                confidence: 0.99992,
                speaker: null,
              },
              {
                text: "of",
                start: 1498,
                end: 1646,
                confidence: 1,
                speaker: null,
              },
            ],
          speaker: null,
        }

    SentencesResponse:
      x-label: Sentences response
      type: object
      x-fern-sdk-group-name: transcripts
      additionalProperties: false
      required:
        - id
        - confidence
        - audio_duration
        - sentences
      properties:
        id:
          x-label: Transcript ID
          description: The unique identifier for the transcript
          type: string
          format: uuid
        confidence:
          x-label: Confidence
          description: The confidence score for the transcript
          type: number
          format: double
          minimum: 0
          maximum: 1
        audio_duration:
          x-label: Audio duration
          description: The duration of the audio file in seconds
          type: number
        sentences:
          x-label: Sentences
          description: An array of sentences in the transcript
          type: array
          items:
            x-label: Sentence
            $ref: "#/components/schemas/TranscriptSentence"
      example:
        {
          sentences:
            [
              {
                text: "Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US.",
                start: 250,
                end: 6350,
                confidence: 0.72412,
                words:
                  [
                    {
                      text: "Smoke",
                      start: 250,
                      end: 650,
                      confidence: 0.72412,
                      speaker: null,
                    },
                    {
                      text: "from",
                      start: 730,
                      end: 1022,
                      confidence: 0.99996,
                      speaker: null,
                    },
                    {
                      text: "hundreds",
                      start: 1076,
                      end: 1466,
                      confidence: 0.99992,
                      speaker: null,
                    },
                    {
                      text: "of",
                      start: 1498,
                      end: 1646,
                      confidence: 1,
                      speaker: null,
                    },
                  ],
                speaker: null,
              },
              {
                text: "Skylines from Maine to Maryland to Minnesota are gray and smoggy.",
                start: 6500,
                end: 11050,
                confidence: 0.99819,
                words:
                  [
                    {
                      text: "Skylines",
                      start: 6500,
                      end: 7306,
                      confidence: 0.99819,
                      speaker: null,
                    },
                    {
                      text: "from",
                      start: 7338,
                      end: 7534,
                      confidence: 0.99987,
                      speaker: null,
                    },
                    {
                      text: "Maine",
                      start: 7572,
                      end: 7962,
                      confidence: 0.9972,
                      speaker: null,
                    },
                    {
                      text: "to",
                      start: 8026,
                      end: 8206,
                      confidence: 1,
                      speaker: null,
                    },
                    {
                      text: "Maryland",
                      start: 8228,
                      end: 8650,
                      confidence: 0.5192,
                      speaker: null,
                    },
                    {
                      text: "to",
                      start: 8730,
                      end: 8926,
                      confidence: 1,
                      speaker: null,
                    },
                  ],
                speaker: null,
              },
            ],
          id: "d5a3d302-066e-43fb-b63b-8f57baf185db",
          confidence: 0.9579390654205628,
          audio_duration: 281,
        }

    TranscriptParagraph:
      x-label: Paragraph
      type: object
      x-fern-sdk-group-name: transcripts
      additionalProperties: false
      required:
        - text
        - start
        - end
        - confidence
        - words
      properties:
        text:
          x-label: Text
          description: The transcript of the paragraph
          type: string
        start:
          x-label: Start
          description: The starting time, in milliseconds, of the paragraph
          type: integer
        end:
          x-label: End
          description: The ending time, in milliseconds, of the paragraph
          type: integer
        confidence:
          x-label: Confidence
          description: The confidence score for the transcript of this paragraph
          type: number
          format: double
          minimum: 0
          maximum: 1
        words:
          x-label: Words
          description: An array of words in the paragraph
          type: array
          items:
            x-label: Word
            $ref: "#/components/schemas/TranscriptWord"
      example:
        {
          text: "Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. And in some places, the air quality warnings include the warning to stay inside. We wanted to better understand what's happening here and why, so we called Peter Decarlo, an associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University. Good morning, professor.",
          start: 250,
          end: 26950,
          confidence: 0.73033,
          words:
            [
              {
                text: "Smoke",
                start: 250,
                end: 650,
                confidence: 0.73033,
                speaker: null,
              },
              {
                text: "from",
                start: 730,
                end: 1022,
                confidence: 1,
                speaker: null,
              },
              {
                text: "hundreds",
                start: 1076,
                end: 1466,
                confidence: 0.99992,
                speaker: null,
              },
              {
                text: "of",
                start: 1498,
                end: 1646,
                confidence: 1,
                speaker: null,
              },
            ],
        }

    ParagraphsResponse:
      x-label: Paragraphs response
      type: object
      x-fern-sdk-group-name: transcripts
      additionalProperties: false
      required:
        - id
        - confidence
        - audio_duration
        - paragraphs
      properties:
        id:
          x-label: Transcript ID
          description: The unique identifier of your transcript
          type: string
          format: uuid
        confidence:
          x-label: Confidence
          description: The confidence score for the transcript
          type: number
          format: double
          minimum: 0
          maximum: 1
        audio_duration:
          x-label: Audio duration
          description: The duration of the audio file in seconds
          type: number
        paragraphs:
          x-label: Paragraphs
          description: An array of paragraphs in the transcript
          type: array
          items:
            x-label: Paragraph
            $ref: "#/components/schemas/TranscriptParagraph"
      example:
        {
          paragraphs:
            [
              {
                text: "Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. And in some places, the air quality warnings include the warning to stay inside. We wanted to better understand what's happening here and why, so we called Peter Decarlo, an associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University. Good morning, professor.",
                start: 250,
                end: 26950,
                confidence: 0.73033,
                words:
                  [
                    {
                      text: "Smoke",
                      start: 250,
                      end: 650,
                      confidence: 0.73033,
                      speaker: null,
                    },
                    {
                      text: "from",
                      start: 730,
                      end: 1022,
                      confidence: 1,
                      speaker: null,
                    },
                    {
                      text: "hundreds",
                      start: 1076,
                      end: 1466,
                      confidence: 0.99992,
                      speaker: null,
                    },
                    {
                      text: "of",
                      start: 1498,
                      end: 1646,
                      confidence: 1,
                      speaker: null,
                    },
                  ],
              },
              {
                text: "Good morning. So what is it about the conditions right now that have caused this round of wildfires to affect so many people so far away? Well, there's a couple of things. The season has been pretty dry already, and then the fact that we're getting hit in the US. Is because there's a couple of weather systems that are essentially channeling the smoke from those Canadian wildfires through Pennsylvania into the Mid Atlantic and the Northeast and kind of just dropping the smoke there.",
                start: 27850,
                end: 56190,
                confidence: 0.99667,
                words:
                  [
                    {
                      text: "Good",
                      start: 27850,
                      end: 28262,
                      confidence: 0.99667,
                      speaker: null,
                    },
                    {
                      text: "morning.",
                      start: 28316,
                      end: 28920,
                      confidence: 0.99742,
                      speaker: null,
                    },
                    {
                      text: "So",
                      start: 29290,
                      end: 29702,
                      confidence: 0.94736,
                      speaker: null,
                    },
                  ],
              },
            ],
          id: "d5a3d302-066e-43fb-b63b-8f57baf185db",
          confidence: 0.9578730257009361,
          audio_duration: 281,
        }

    PageDetails:
      x-label: Page details
      description: Details of the transcript page. Transcripts are sorted from newest to oldest. The previous URL always points to a page with older transcripts.
      type: object
      x-fern-sdk-group-name: transcripts
      additionalProperties: false
      required:
        - limit
        - result_count
        - current_url
        - prev_url
        - next_url
      properties:
        limit:
          x-label: Limit
          description: The number of results this page is limited to
          type: integer
        result_count:
          x-label: Result count
          description: The actual number of results in the page
          type: integer
        current_url:
          x-label: Current URL
          description: The URL used to retrieve the current page of transcripts
          type: string
          format: url
        prev_url:
          x-label: Previous URL
          description: The URL to the next page of transcripts. The previous URL always points to a page with older transcripts.
          type: [string, "null"]
          format: url
        next_url:
          x-label: Next URL
          description: The URL to the next page of transcripts. The next URL always points to a page with newer transcripts.
          type: [string, "null"]
          format: url
      example:
        {
          limit: 10,
          result_count: 10,
          current_url: "https://api.assemblyai.com/v2/transcript?limit=10",
          prev_url: "https://api.assemblyai.com/v2/transcript?limit=10&before_id=62npeahu2b-a8ea-4112-854c-69542c20d90c",
          next_url: "https://api.assemblyai.com/v2/transcript?limit=10&after_id=62nfw3mlar-01ad-4631-92f6-629929496eed",
        }

    ListTranscriptParams:
      x-label: List transcript parameters
      type: object
      x-fern-sdk-group-name: transcripts
      # Don't use this type in Fern SDKs as it is already generated from the endpoint parameters
      x-fern-ignore: true
      additionalProperties: false
      properties:
        limit:
          x-label: Limit
          description: Maximum amount of transcripts to retrieve
          type: integer
          minimum: 1
          maximum: 200
          default: 10
        status:
          x-label: Status
          description: Filter by transcript status
          $ref: "#/components/schemas/TranscriptStatus"
        created_on:
          x-label: Created on
          description: Only get transcripts created on this date
          type: string
          format: date
        before_id:
          x-label: Before ID
          description: Get transcripts that were created before this transcript ID
          type: string
          format: uuid
        after_id:
          x-label: After ID
          description: Get transcripts that were created after this transcript ID
          type: string
          format: uuid
        throttled_only:
          x-label: Throttled only
          description: Only get throttled transcripts, overrides the status filter
          type: boolean
          default: false
      example:
        {
          after_id: "a7c5cafd-2c2e-4bdd-b0b2-69dade2f7a1b",
          before_id: "9ea68fd3-f953-42c1-9742-976c447fb463",
          created_on: "2023-11-03",
          limit: 2,
          status: "completed",
          throttled_only: false,
        }

    TranscriptListItem:
      x-label: Transcript list item
      type: object
      x-fern-sdk-group-name: transcripts
      additionalProperties: false
      required:
        - id
        - resource_url
        - status
        - created
        - completed
        - audio_url
        - error
      properties:
        id:
          x-label: ID
          description: The unique identifier for the transcript
          type: string
          format: uuid
        resource_url:
          x-label: Resource URL
          description: The URL to retrieve the transcript
          type: string
          format: url
        status:
          x-label: Status
          description: The status of the transcript
          $ref: "#/components/schemas/TranscriptStatus"
        created:
          x-label: Created
          description: The date and time the transcript was created
          type: string
          pattern: '^(?:(\d{4}-\d{2}-\d{2})T(\d{2}:\d{2}:\d{2}(?:\.\d+)?))$'
          x-fern-type: datetime
          x-ts-type: Date
        completed:
          x-label: Completed
          description: The date and time the transcript was completed
          type: [string, "null"]
          pattern: '^(?:(\d{4}-\d{2}-\d{2})T(\d{2}:\d{2}:\d{2}(?:\.\d+)?))$'
          x-fern-type: optional<datetime>
          x-ts-type: Date | null
        audio_url:
          x-label: Audio URL
          description: The URL to the audio file
          type: string
          format: url
        error:
          x-label: Error
          description: Error message of why the transcript failed
          type: [string, "null"]
      example:
        {
          id: "9ea68fd3-f953-42c1-9742-976c447fb463",
          resource_url: "https://api.assemblyai.com/v2/transcript/9ea68fd3-f953-42c1-9742-976c447fb463",
          status: "completed",
          created: "2023-11-02T21:49:25.586965",
          completed: "2023-11-02T21:49:25.586965",
          audio_url: "https://assembly.ai/wildfires.mp3",
          error: null,
        }

    TranscriptList:
      x-label: Transcript list
      description: A list of transcripts. Transcripts are sorted from newest to oldest. The previous URL always points to a page with older transcripts.
      type: object
      x-fern-sdk-group-name: transcripts
      additionalProperties: false
      required:
        - page_details
        - transcripts
      properties:
        page_details:
          x-label: Page details
          description: Details of the transcript page
          $ref: "#/components/schemas/PageDetails"
        transcripts:
          x-label: Transcripts
          description: An array of transcripts
          type: array
          items:
            x-label: Transcript list item
            $ref: "#/components/schemas/TranscriptListItem"
      example:
        {
          page_details:
            {
              limit: 3,
              result_count: 3,
              current_url: "https://api.assemblyai.com/v2/transcript?limit=3",
              prev_url: "https://api.assemblyai.com/v2/transcript?limit=3&before_id=28a73d01-98db-41dd-9e98-2533ba0af117",
              next_url: "https://api.assemblyai.com/v2/transcript?limit=3&after_id=b33f4691-85b7-4f31-be12-a87cef1c1229",
            },
          transcripts:
            [
              {
                id: "b33f4691-85b7-4f31-be12-a87cef1c1229",
                resource_url: "https://api.assemblyai.com/v2/transcript/b33f4691-85b7-4f31-be12-a87cef1c1229",
                status: "completed",
                created: "2024-03-11T21:29:59.936851",
                completed: "2024-03-11T21:30:07.314223",
                audio_url: "http://deleted_by_user",
                error: null,
              },
              {
                id: "ce522f10-d204-42e8-a838-6b95098145cc",
                resource_url: "https://api.assemblyai.com/v2/transcript/ce522f10-d204-42e8-a838-6b95098145cc",
                status: "error",
                created: "2024-03-11T21:23:59.979420",
                completed: null,
                audio_url: "https://storage.googleapis.com/client-docs-samples/nbc.oopsie",
                error: "Download error, unable to download https://storage.googleapis.com/client-docs-samples/nbc.oopsie. Please make sure the file exists and is accessible from the internet.",
              },
              {
                id: "28a73d01-98db-41dd-9e98-2533ba0af117",
                resource_url: "https://api.assemblyai.com/v2/transcript/28a73d01-98db-41dd-9e98-2533ba0af117",
                status: "completed",
                created: "2024-03-11T21:12:57.372215",
                completed: "2024-03-11T21:13:03.267020",
                audio_url: "https://assembly.ai/nbc.mp3",
                error: null,
              },
            ],
        }

    UploadedFile:
      x-label: Uploaded file
      type: object
      x-fern-sdk-group-name: files
      additionalProperties: false
      required:
        - upload_url
      properties:
        upload_url:
          x-label: Uploaded file URL
          description: A URL that points to your audio file, accessible only by AssemblyAI's servers
          type: string
          format: url
      example:
        {
          upload_url: "https://cdn.assemblyai.com/upload/f756988d-47e2-4ca3-96ce-04bb168f8f2a",
        }

    CreateRealtimeTemporaryTokenParams:
      x-label: Create Streaming STT temporary token parameters
      type: object
      x-fern-sdk-group-name: realtime
      additionalProperties: false
      properties:
        expires_in:
          x-label: Expires in
          description: The amount of time until the token expires in seconds
          type: integer
          minimum: 60
      required: [expires_in]
      example: { expires_in: 480 }

    RealtimeTemporaryTokenResponse:
      x-label: Streaming STT temporary token response
      type: object
      x-fern-sdk-group-name: realtime
      additionalProperties: false
      required:
        - token
      properties:
        token:
          x-label: Temporary authentication token
          description: The temporary authentication token for Streaming Speech-to-Text
          type: string
      example:
        {
          token: "fe4145dd1e7a2e149488dcd2d553a8018a89833fc5084837d66fd1bcf5a105d4",
        }

    AudioIntelligenceModelStatus:
      x-label: Audio intelligence model status
      x-fern-sdk-group-name: transcripts
      type: string
      description: Either success, or unavailable in the rare case that the model failed
      enum:
        - success
        - unavailable
      x-aai-enum:
        success:
          label: Success
        unavailable:
          label: Unavailable

    PurgeLemurRequestDataResponse:
      x-label: Purge LeMUR request data response
      x-fern-sdk-group-name: lemur
      type: object
      additionalProperties: false
      properties:
        request_id:
          x-label: Purge request ID
          type: string
          format: uuid
          description: The ID of the deletion request of the LeMUR request
        request_id_to_purge:
          x-label: LeMUR request ID to purge
          type: string
          format: uuid
          description: The ID of the LeMUR request to purge the data for
        deleted:
          x-label: Deleted
          type: boolean
          description: Whether the request data was deleted
      required:
        - request_id
        - request_id_to_purge
        - deleted
      example:
        {
          request_id: "914fe7e4-f10a-4364-8946-34614c2873f6",
          request_id_to_purge: "b7eb03ec-1650-4181-949b-75d9de317de1",
          deleted: true,
        }

    # This is to have a type that can be used to get the ID so it can be deleted
    LemurBaseResponse:
      x-label: LeMUR base response
      x-fern-sdk-group-name: lemur
      type: object
      additionalProperties: false
      properties:
        request_id:
          x-label: LeMUR request ID
          description: The ID of the LeMUR request
          type: string
          format: uuid
        usage:
          x-label: Usage
          description: The usage numbers for the LeMUR request
          $ref: "#/components/schemas/LemurUsage"
      required: [request_id, usage]
      example:
        {
          request_id: "5e1b27c2-691f-4414-8bc5-f14678442f9e",
          "usage": { "input_tokens": 27, "output_tokens": 3 },
        }

    LemurStringResponse:
      x-label: LeMUR string response
      x-fern-sdk-group-name: lemur
      type: object
      allOf:
        - type: object
          additionalProperties: false
          properties:
            response:
              x-label: Response
              description: The response generated by LeMUR.
              type: string
          required: [response]
        - $ref: "#/components/schemas/LemurBaseResponse"
      example:
        request_id: "5e1b27c2-691f-4414-8bc5-f14678442f9e"
        response: |
          Based on the transcript, the following locations were mentioned as being affected by wildfire smoke from Canada:

          - Maine
          - Maryland
          - Minnesota
          - Mid Atlantic region
          - Northeast region
          - New York City
          - Baltimore
        usage: { "input_tokens": 27, "output_tokens": 3 }

    LemurTaskResponse:
      x-label: LeMUR task response
      x-fern-sdk-group-name: lemur
      type: object
      allOf:
        - $ref: "#/components/schemas/LemurStringResponse"
      example:
        request_id: "5e1b27c2-691f-4414-8bc5-f14678442f9e"
        response: |
          Based on the transcript, the following locations were mentioned as being affected by wildfire smoke from Canada:

          - Maine
          - Maryland
          - Minnesota
          - Mid Atlantic region
          - Northeast region
          - New York City
          - Baltimore
        usage: { "input_tokens": 27, "output_tokens": 3 }

    LemurSummaryResponse:
      x-label: LeMUR summary response
      x-fern-sdk-group-name: lemur
      type: object
      allOf:
        - $ref: "#/components/schemas/LemurStringResponse"
      example:
        request_id: "5e1b27c2-691f-4414-8bc5-f14678442f9e"
        response: |
          - Wildfires in Canada are sending smoke and air pollution across parts of the US, triggering air quality alerts from Maine to Minnesota. Concentrations of particulate matter have exceeded safety levels.

          - Weather systems are channeling the smoke through Pennsylvania into the Mid-Atlantic and Northeast regions. New York City has canceled outdoor activities to keep children and vulnerable groups indoors.

          - Very small particulate matter can enter the lungs and impact respiratory, cardiovascular and neurological health. Young children, the elderly and those with preexisting conditions are most at risk.

          - The conditions causing the poor air quality could get worse or shift to different areas in coming days depending on weather patterns. More wildfires may also contribute to higher concentrations.

          - Climate change is leading to longer and more severe fire seasons. Events of smoke traveling long distances and affecting air quality over wide areas will likely become more common in the future."
        usage: { "input_tokens": 27, "output_tokens": 3 }

    LemurActionItemsResponse:
      x-label: LeMUR action items response
      x-fern-sdk-group-name: lemur
      type: object
      allOf:
        - $ref: "#/components/schemas/LemurStringResponse"
      example:
        request_id: "5e1b27c2-691f-4414-8bc5-f14678442f9e"
        response: |
          Here are some potential action items based on the transcript:

          - Monitor air quality levels in affected areas and issue warnings as needed.

          - Advise vulnerable populations like children, the elderly, and those with respiratory conditions to limit time outdoors.

          - Have schools cancel outdoor activities when air quality is poor.

          - Educate the public on health impacts of smoke inhalation and precautions to take.

          - Track progression of smoke plumes using weather and air quality monitoring systems.

          - Coordinate cross-regionally to manage smoke exposure as air masses shift.

          - Plan for likely increase in such events due to climate change. Expand monitoring and forecasting capabilities.

          - Conduct research to better understand health impacts of wildfire smoke and mitigation strategies.

          - Develop strategies to prevent and manage wildfires to limit air quality impacts.
        usage: { "input_tokens": 27, "output_tokens": 3 }

    LemurQuestionAnswerResponse:
      x-label: LeMUR question & answer response
      x-fern-sdk-group-name: lemur
      type: object
      allOf:
        - $ref: "#/components/schemas/LemurBaseResponse"
        - type: object
          additionalProperties: false
          properties:
            response:
              x-label: Question & answers
              description: The answers generated by LeMUR and their questions
              type: array
              items:
                x-label: Question & answer
                $ref: "#/components/schemas/LemurQuestionAnswer"
          required: [response]
      example:
        {
          request_id: "5e1b27c2-691f-4414-8bc5-f14678442f9e",
          response:
            [
              { answer: "CA, US", question: "Where are there wildfires?" },
              {
                answer: "yes",
                question: "Is global warming affecting wildfires?",
              },
            ],
          usage: { "input_tokens": 27, "output_tokens": 3 },
        }

    LemurQuestionAnswer:
      x-label: Question & answer
      x-fern-sdk-group-name: lemur
      type: object
      description: An answer generated by LeMUR and its question
      additionalProperties: false
      properties:
        question:
          x-label: Question
          description: The question for LeMUR to answer
          type: string
        answer:
          x-label: Answer
          description: The answer generated by LeMUR
          type: string
      required: [question, answer]
      example: { answer: "CA, US", question: "Where are there wildfires?" }

    LemurResponse:
      x-label: LeMUR response
      x-fern-sdk-group-name: lemur
      type: object
      oneOf:
        - $ref: "#/components/schemas/LemurStringResponse"
        - $ref: "#/components/schemas/LemurQuestionAnswerResponse"

    LemurBaseParams:
      x-label: LeMUR base parameters
      x-fern-sdk-group-name: lemur
      type: object
      additionalProperties: false
      properties:
        transcript_ids:
          x-label: Transcript IDs
          description: |
            A list of completed transcripts with text. Up to a maximum of 100 files or 100 hours, whichever is lower.
            Use either transcript_ids or input_text as input into LeMUR.
          type: array
          items:
            x-label: Transcript ID
            type: string
            format: uuid
        input_text:
          x-label: Input text
          description: |
            Custom formatted transcript data. Maximum size is the context limit of the selected model, which defaults to 100000.
            Use either transcript_ids or input_text as input into LeMUR.
          type: string
        context:
          x-label: Context
          description: Context to provide the model. This can be a string or a free-form JSON value.
          oneOf:
            - type: string
            - type: object
              additionalProperties: true
        final_model:
          x-label: Final model
          description: |
            The model that is used for the final prompt after compression is performed.
          default: "default"
          anyOf:
            - $ref: "#/components/schemas/LemurModel"
            - type: string
          x-ts-type: LiteralUnion<LemurModel, string>
          x-go-type: LeMURModel
        max_output_size:
          x-label: Maximum output size
          description: Max output size in tokens, up to 4000
          type: integer
          default: 2000
        temperature:
          x-label: Temperature
          description: |
            The temperature to use for the model.
            Higher values result in answers that are more creative, lower values are more conservative.
            Can be any value between 0.0 and 1.0 inclusive.
          type: number
          format: float
          default: 0
          minimum: 0
          maximum: 1
      example:
        {
          transcript_ids:
            [
              "85f9b381-e90c-46ed-beca-7d76245d375e",
              "7c3acd18-df4d-4432-88f5-1e89f8827eea",
            ],
          context: "This is an interview about wildfires.",
          final_model: "anthropic/claude-3-5-sonnet",
          temperature: 0,
          max_output_size: 3000,
        }

    LemurTaskParams:
      x-label: LeMUR task parameters
      x-fern-sdk-group-name: lemur
      type: object
      allOf:
        - type: object
          additionalProperties: false
          properties:
            prompt:
              x-label: Prompt
              description: Your text to prompt the model to produce a desired output, including any context you want to pass into the model.
              type: string
          required: [prompt]
        - $ref: "#/components/schemas/LemurBaseParams"
      example:
        {
          transcript_ids: ["64nygnr62k-405c-4ae8-8a6b-d90b40ff3cce"],
          prompt: "List all the locations affected by wildfires.",
          context: "This is an interview about wildfires.",
          final_model: "anthropic/claude-3-5-sonnet",
          temperature: 0,
          max_output_size: 3000,
        }

    LemurSummaryParams:
      x-label: LeMUR summary parameters
      x-fern-sdk-group-name: lemur
      type: object
      allOf:
        - $ref: "#/components/schemas/LemurBaseParams"
        - type: object
          additionalProperties: false
          properties:
            answer_format:
              x-label: Answer format
              description: |
                How you want the summary to be returned. This can be any text. Examples: "TLDR", "bullet points"
              type: string
      example:
        {
          transcript_ids: ["47b95ba5-8889-44d8-bc80-5de38306e582"],
          context: "This is an interview about wildfires.",
          final_model: "anthropic/claude-3-5-sonnet",
          temperature: 0,
          max_output_size: 3000,
        }

    LemurQuestionAnswerParams:
      x-label: LeMUR question & answer parameters
      x-fern-sdk-group-name: lemur
      type: object
      allOf:
        - $ref: "#/components/schemas/LemurBaseParams"
        - type: object
          additionalProperties: false
          properties:
            questions:
              x-label: Questions
              description: A list of questions to ask
              type: array
              items:
                x-label: Question
                $ref: "#/components/schemas/LemurQuestion"
          required: [questions]
      example:
        {
          transcript_ids: ["64nygnr62k-405c-4ae8-8a6b-d90b40ff3cce"],
          context: "This is an interview about wildfires.",
          questions:
            [
              {
                question: "Where are there wildfires?",
                answer_format: "List of countries in ISO 3166-1 alpha-2 format",
                answer_options: ["US", "CA"],
              },
              {
                question: "Is global warming affecting wildfires?",
                answer_options: ["yes", "no"],
              },
            ],
          final_model: "anthropic/claude-3-5-sonnet",
          temperature: 0,
          max_output_size: 3000,
        }

    LemurQuestion:
      x-label: LeMUR question
      x-fern-sdk-group-name: lemur
      type: object
      additionalProperties: false
      required: [question]
      properties:
        question:
          x-label: Question
          description: The question you wish to ask. For more complex questions use default model.
          type: string
        context:
          x-label: Context
          description: Any context about the transcripts you wish to provide. This can be a string or any object.
          oneOf:
            - type: string
            - type: object
              additionalProperties: true
        answer_format:
          x-label: Answer format
          description: |
            How you want the answer to be returned. This can be any text. Can't be used with answer_options. Examples: "short sentence", "bullet points"
          type: string
        answer_options:
          x-label: Answer options
          description: |
            What discrete options to return. Useful for precise responses. Can't be used with answer_format. Example: ["Yes", "No"]
          type: array
          items:
            x-label: Answer option
            type: string
      example:
        {
          question: "Where are there wildfires?",
          answer_format: "List of countries in ISO 3166-1 alpha-2 format",
        }

    LemurActionItemsParams:
      x-label: LeMUR action items parameters
      x-fern-sdk-group-name: lemur
      type: object
      allOf:
        - $ref: "#/components/schemas/LemurBaseParams"
        - type: object
          additionalProperties: false
          properties:
            answer_format:
              x-label: Answer format
              description: |
                How you want the action items to be returned. This can be any text.
                Defaults to "Bullet Points".
              type: string
              default: Bullet Points
      example:
        {
          transcript_ids: ["64nygnr62k-405c-4ae8-8a6b-d90b40ff3cce"],
          context: "This is an interview about wildfires.",
          answer_format: "Bullet Points",
          final_model: "anthropic/claude-3-5-sonnet",
          temperature: 0,
          max_output_size: 3000,
        }

    LemurModel:
      x-label: LeMUR model
      x-fern-sdk-group-name: lemur
      type: string
      description: |
        The model that is used for the final prompt after compression is performed.
      enum:
        - anthropic/claude-3-5-sonnet
        - anthropic/claude-3-opus
        - anthropic/claude-3-haiku
        - anthropic/claude-3-sonnet
        - anthropic/claude-2-1
        - anthropic/claude-2
        - default
        - anthropic/claude-instant-1-2
        - basic
        - assemblyai/mistral-7b
      x-fern-enum:
        anthropic/claude-3-5-sonnet:
          description: >
            Claude 3.5 Sonnet is Anthropic's most intelligent model to date, outperforming Claude 3 Opus on a wide range of evaluations, with the speed and cost of Claude 3 Sonnet.
          casing:
            camel: anthropicClaude3_5_Sonnet
            snake: anthropic_claude3_5_sonnet
            pascal: AnthropicClaude3_5_Sonnet
            screamingSnake: ANTHROPIC_CLAUDE3_5_SONNET
        anthropic/claude-3-opus:
          description: >
            Claude 3 Opus is good at handling complex analysis, longer tasks with many steps, and higher-order math and coding tasks.
          casing:
            camel: anthropicClaude3_Opus
            snake: anthropic_claude3_opus
            pascal: AnthropicClaude3_Opus
            screamingSnake: ANTHROPIC_CLAUDE3_OPUS
        anthropic/claude-3-haiku:
          description: >
            Claude 3 Haiku is the fastest model that can execute lightweight actions.
          casing:
            camel: anthropicClaude3_Haiku
            snake: anthropic_claude3_haiku
            pascal: AnthropicClaude3_Haiku
            screamingSnake: ANTHROPIC_CLAUDE3_HAIKU
        anthropic/claude-3-sonnet:
          description: >
            Claude 3 Sonnet is a legacy model with a balanced combination of performance and speed for efficient, high-throughput tasks.
          casing:
            camel: anthropicClaude3_Sonnet
            snake: anthropic_claude3_sonnet
            pascal: AnthropicClaude3_Sonnet
            screamingSnake: ANTHROPIC_CLAUDE3_SONNET
        anthropic/claude-2-1:
          description: >
            Legacy - deprecating on 02/06/25. Claude 2.1 is a legacy model similar to Claude 2.0. The key difference is that it minimizes model hallucination and system prompts, has a larger context window, and performs better in citations.
          casing:
            camel: anthropicClaude2_1
            snake: anthropic_claude2_1
            pascal: AnthropicClaude2_1
            screamingSnake: ANTHROPIC_CLAUDE2_1
        anthropic/claude-2:
          description: >
            Legacy - deprecating on 02/06/25. Claude 2.0 is a legacy model that has good complex reasoning. It offers more nuanced responses and improved contextual comprehension.
          casing:
            camel: anthropicClaude2_0
            snake: anthropic_claude2_0
            pascal: AnthropicClaude2_0
            screamingSnake: ANTHROPIC_CLAUDE2_0
        default:
          description: Legacy - deprecating on 02/06/25. The same as Claude 2.0.
        anthropic/claude-instant-1-2:
          description: >
            Legacy - deprecating on 10/28/24. Claude Instant is a legacy model that is optimized for speed and cost. Claude Instant can complete requests up to 20% faster than Claude 2.0.
          casing:
            camel: anthropicClaudeInstant1_2
            snake: anthropic_claude_instant1_2
            pascal: AnthropicClaudeInstant1_2
            screamingSnake: ANTHROPIC_CLAUDE_INSTANT1_2
        basic:
          description: Legacy - deprecating on 10/28/24. The same as Claude Instant.
        assemblyai/mistral-7b:
          description: >
            LeMUR Mistral 7B is an LLM self-hosted by AssemblyAI.
            It's the fastest and cheapest of the LLM options. We recommend it for use cases like basic summaries and factual Q&A.
          casing:
            camel: assemblyaiMistral7b
            snake: assemblyai_mistral7b
            pascal: AssemblyaiMistral7b
            screamingSnake: ASSEMBLYAI_MISTRAL7B
      x-aai-enum:
        anthropic/claude-3-5-sonnet:
          label: Claude 3.5 Sonnet (on Anthropic)
        anthropic/claude-3-opus:
          label: Claude 3 Opus (on Anthropic)
        anthropic/claude-3-haiku:
          label: Claude 3 Haiku (on Anthropic)
        anthropic/claude-3-sonnet:
          label: Claude 3 Sonnet (on Anthropic)
        anthropic/claude-2-1:
          label: Claude 2.1 (on Anthropic)(Legacy - deprecating on 02/06/25)
        anthropic/claude-2:
          label: Claude 2 (on Anthropic)(Legacy - deprecating on 02/06/25)
        default:
          label: Default (Legacy - deprecating on 02/06/25)
        anthropic/claude-instant-1-2:
          label: Claude Instant 1.2 (on Anthropic)(Legacy - deprecating on 10/28/24)
        basic:
          label: Basic (Legacy - deprecating on 10/28/24)
        assemblyai/mistral-7b:
          label: Mistral 7B (hosted by AssemblyAI)

    LemurUsage:
      x-label: Usage
      description: The usage numbers for the LeMUR request
      x-fern-sdk-group-name: lemur
      type: object
      additionalProperties: false
      required:
        - input_tokens
        - output_tokens
      properties:
        input_tokens:
          x-label: Input tokens
          description: The number of input tokens used by the model
          type: integer
          minimum: 0
        output_tokens:
          x-label: Output tokens
          description: The number of output tokens generated by the model
          type: integer
          minimum: 0

    Error:
      x-label: Error
      type: object
      additionalProperties: true
      required: [error]
      properties:
        error:
          x-label: Error message
          description: Error message
          type: string
        status:
          x-label: Status
          type: string
          const: error
      example: { error: "format_text must be a Boolean" }

  examples:
    VttSubtitlesResponse:
      value: |
        WEBVTT
        00:12.340 --> 00:16.220
        Last year I showed these two slides said that demonstrate
        00:16.200 --> 00:20.040
        that the Arctic ice cap which for most of the last 3,000,000 years has been the
        00:20.020 --> 00:25.040
        size of the lower 48 States has shrunk by 40% but this understates
    SrtSubtitlesResponse:
      value: |
        1
        00:00:13,160 --> 00:00:16,694
        Last year I showed these two slides that demonstrate that the Arctic

        2
        00:00:16,734 --> 00:00:20,214
        ice cap, which for most of the last 3 million years has been the size

        3
        00:00:20,254 --> 00:00:23,274
        of the lower 48 states, has shrunk by 40%.

    DeleteTranscriptResponse:
      value:
        {
          id: "47b95ba5-8889-44d8-bc80-5de38306e582",
          language_model: "assemblyai_default",
          acoustic_model: "assemblyai_default",
          language_code: null,
          language_detection: false,
          language_confidence_threshold: null,
          language_confidence: null,
          status: "completed",
          audio_url: "http://deleted_by_user",
          text: "Deleted by user.",
          words: null,
          utterances: null,
          confidence: null,
          audio_duration: 390,
          punctuate: null,
          format_text: null,
          multichannel: false,
          dual_channel: null,
          webhook_url: "http://deleted_by_user",
          webhook_status_code: null,
          webhook_auth: false,
          webhook_auth_header_name: null,
          speed_boost: null,
          auto_highlights_result: null,
          auto_highlights: false,
          audio_start_from: null,
          audio_end_at: null,
          word_boost: null,
          boost_param: null,
          filter_profanity: null,
          redact_pii: false,
          redact_pii_audio: null,
          redact_pii_audio_quality: null,
          redact_pii_policies: null,
          redact_pii_sub: null,
          speaker_labels: null,
          speaker_count: null,
          error: null,
          content_safety: null,
          iab_categories: null,
          content_safety_labels: null,
          iab_categories_result: null,
          custom_spelling: null,
          cluster_id: null,
          throttled: null,
          auto_chapters: false,
          summarization: false,
          summary_type: null,
          summary_model: null,
          custom_topics: null,
          topics: null,
          speech_threshold: null,
          speech_model: null,
          chapters: null,
          disfluencies: true,
          entity_detection: false,
          entities: null,
          speakers_expected: null,
          summary: null,
          sentiment_analysis: false,
          sentiment_analysis_results: null,
        }

  responses:
    BadRequest:
      x-label: Bad request
      description: Bad request
      content:
        application/json:
          schema:
            $ref: "#/components/schemas/Error"
          example: { "error": "This is a sample error message" }
    Unauthorized:
      x-label: Unauthorized
      description: Unauthorized
      content:
        application/json:
          schema:
            $ref: "#/components/schemas/Error"
          example:
            { "error": "Authentication error, API token missing/invalid" }
    NotFound:
      x-label: Not found
      description: Not found
      content:
        application/json:
          schema:
            $ref: "#/components/schemas/Error"
          example: { "error": "Not found" }
    TooManyRequests:
      x-label: Too many requests
      description: Too many requests
      content:
        application/json:
          schema:
            $ref: "#/components/schemas/Error"
          example: { "error": "Too Many Requests" }
      headers:
        Retry-After:
          description: The number of seconds to wait before retrying the request
          schema:
            type: integer
    InternalServerError:
      x-label: Internal server error
      description: An error occurred while processing the request
      content:
        application/json:
          schema:
            $ref: "#/components/schemas/Error"
          example: { "error": "Internal Server Error" }
    ServiceUnavailable:
      x-label: Service unavailable
      description: Service unavailable
    GatewayTimeout:
      x-label: Gateway timeout
      description: Gateway timeout

  securitySchemes:
    ApiKey:
      type: apiKey
      in: header
      name: Authorization