Microsoft Azure · OpenAPI Overlay 1.0.0

API Evangelist conversational phrasing for Microsoft Azure Azure OpenAI Service Audio API

4 actions 4 updates phrasing extends openapi/microsoft-azure-audio-api-openapi.yml

Generated by API Evangelist Written by API Evangelist tooling for Microsoft Azure's API. It is a proposal applied on top of the contract, not a document Microsoft Azure publishes.

View Overlay File View on GitHub Overlay Specification

What the actions change

x-apievangelist-phrasing

Targets 4

$.info

$.paths['/deployments/{deployment-id}/audio/transcriptions'].post

$.paths['/deployments/{deployment-id}/audio/translations'].post

$.paths['/deployments/{deployment-id}/audio/speech'].post

OpenAPI Overlay

Raw ↑

# Generated by API Evangelist (build-phrasing.py). Our phrasing, not observed demand.
overlay: 1.0.0
info:
  title: API Evangelist conversational phrasing for Microsoft Azure Azure OpenAI Service Audio API
  version: 1.0.0
extends: openapi/microsoft-azure-audio-api-openapi.yml
actions:
- target: $.info
  update:
    x-apievangelist-phrasing:
      method: generated
      generated: '2026-09-26'
      generator: build-phrasing.py
      label: Generated by API Evangelist
      operations: 3
- target: $.paths['/deployments/{deployment-id}/audio/transcriptions'].post
  update:
    x-apievangelist-phrasing:
      intent: Transcribe audio with Whisper
      effect: read
      questions:
      - How do I transcribe an audio file into text in its original language?
      - Can I give Whisper a language hint or prompt when transcribing?
      instructions:
      - text: Transcribe audio file {file} using deployment {deployment-id}.
        slots:
          file: requestBody.file
          deployment-id: path.deployment-id
      - text: Transcribe {file} in language {language} with deployment {deployment-id} as {response_format}.
        slots:
          file: requestBody.file
          language: requestBody.language
          deployment-id: path.deployment-id
          response_format: requestBody.response_format
      method: generated
      generated: '2026-09-26'
- target: $.paths['/deployments/{deployment-id}/audio/translations'].post
  update:
    x-apievangelist-phrasing:
      intent: Translate audio into English text
      effect: read
      questions:
      - Can I turn a foreign-language recording into English text?
      - Which Azure OpenAI call translates speech to English with Whisper?
      instructions:
      - text: Translate audio file {file} to English using deployment {deployment-id}.
        slots:
          file: requestBody.file
          deployment-id: path.deployment-id
      - text: Translate {file} into English text with deployment {deployment-id} and prompt {prompt}.
        slots:
          file: requestBody.file
          deployment-id: path.deployment-id
          prompt: requestBody.prompt
      method: generated
      generated: '2026-09-26'
- target: $.paths['/deployments/{deployment-id}/audio/speech'].post
  update:
    x-apievangelist-phrasing:
      intent: Generate speech from text
      effect: write
      questions:
      - How do I convert text into spoken audio with a chosen voice?
      - Can I control the speed of generated speech?
      instructions:
      - text: Generate speech for {input} with voice {voice} on deployment {deployment-id} using model {model}.
        slots:
          input: requestBody.input
          voice: requestBody.voice
          deployment-id: path.deployment-id
          model: requestBody.model
      - text: Read {input} aloud in voice {voice} at speed {speed} with model {model} on deployment {deployment-id}.
        slots:
          input: requestBody.input
          voice: requestBody.voice
          speed: requestBody.speed
          model: requestBody.model
          deployment-id: path.deployment-id
      method: generated
      generated: '2026-09-26'

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