# 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 Embeddings API
  version: 1.0.0
extends: openapi/microsoft-azure-embeddings-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: 1
- target: $.paths['/deployments/{deployment-id}/embeddings'].post
  update:
    x-apievangelist-phrasing:
      intent: Create embeddings for input text
      effect: write
      questions:
      - Can I turn a piece of text into a vector with my Azure OpenAI deployment?
      - Is it possible to ask for fewer embedding dimensions or base64 output?
      instructions:
      - text: Create embeddings for {input} using deployment {deployment}.
        slots:
          input: requestBody.input
          deployment: path.deployment-id
      - text: Embed {input} with deployment {deployment} at {dimensions} dimensions.
        slots:
          input: requestBody.input
          deployment: path.deployment-id
          dimensions: requestBody.dimensions
      - text: Generate {encoding_format} embeddings for {input} on deployment {deployment}.
        slots:
          encoding_format: requestBody.encoding_format
          input: requestBody.input
          deployment: path.deployment-id
      method: generated
      generated: '2026-09-26'