# Generated by API Evangelist (build-phrasing.py). Our phrasing, not observed demand.
overlay: 1.0.0
info:
  title: API Evangelist conversational phrasing for NVIDIA NIM Speech ASR API
  version: 1.0.0
extends: openapi/nvidia-nim-asr-api-openapi.yml
actions:
- target: $.info
  update:
    x-apievangelist-phrasing:
      method: generated
      generated: '2026-10-01'
      generator: build-phrasing.py
      label: Generated by API Evangelist
      operations: 1
- target: $.paths['/v1/audio/transcriptions'].post
  update:
    x-apievangelist-phrasing:
      intent: Transcribe an audio clip to text
      effect: write
      questions:
      - Can I turn a WAV, FLAC or MP3 recording into text with a Parakeet or Canary speech model?
      - Which language setting should I pass when transcribing a recording that isn't in English?
      - What output formats can a speech-to-text transcription come back in?
      instructions:
      - text: Transcribe the audio file {file} to text using the {model} speech recognition model.
        slots:
          file: requestBody.file
          model: requestBody.model
      - text: Transcribe {file} with {model}, treating the spoken language as {language}.
        slots:
          file: requestBody.file
          model: requestBody.model
          language: requestBody.language
      - text: Get a transcript of {file} from {model} returned as {response_format}.
        slots:
          file: requestBody.file
          model: requestBody.model
          response_format: requestBody.response_format
      method: generated
      generated: '2026-10-01'