Microsoft Azure · OpenAPI Overlay 1.0.0

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

2 actions 2 updates phrasing extends openapi/microsoft-azure-embeddings-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 2

$.info

$.paths['/deployments/{deployment-id}/embeddings'].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 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'

Work with this as data

Every overlay here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for openapi overlays

4 MCP tools reach this

find_overlaysBrowse and filter every overlay in the catalog.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

All 92 tools →

Call it yourself

curl for this page

This overlay

curl "https://apis.io/api/v1/overlays/microsoft-azure-embeddings-api-phrasing-overlay"

All openapi overlays

curl "https://apis.io/api/v1/overlays?limit=25"

Discovery needs no key. Ratings and market analysis are Pro.

Get an API key

Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.

GitHub Google LinkedIn

A second provider on the same verified email joins the account you already have.