# Generated by API Evangelist (build-phrasing.py). Our phrasing, not observed demand.
overlay: 1.0.0
info:
  title: API Evangelist conversational phrasing for OpenAI Embeddings API
  version: 1.0.0
extends: openapi/openai-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['/embeddings'].post
  update:
    x-apievangelist-phrasing:
      intent: Turn text into an embedding vector
      effect: write
      questions:
      - How do I convert text into a vector for semantic search?
      - Can I shorten the number of dimensions in the embeddings I get back?
      - Is it possible to receive embeddings as base64 instead of floats?
      instructions:
      - text: Embed {input} with {model}.
        slots:
          input: requestBody.input
          model: requestBody.model
      - text: Create {dimensions}-dimension embeddings of {input} using {model}.
        slots:
          dimensions: requestBody.dimensions
          input: requestBody.input
          model: requestBody.model
      - text: Embed {input} with {model} and return it as {encoding_format}.
        slots:
          input: requestBody.input
          model: requestBody.model
          encoding_format: requestBody.encoding_format
      method: generated
      generated: '2026-09-26'