OpenAI · Schema

CreateEmbeddingRequest

Artificial IntelligenceLarge Language ModelsT1

Properties

Name Type Description
model string ID of the model to use. You can use the List Models API to see all available models, or see the Model overview for descriptions.
input string Input text to embed, encoded as a string or array of tokens. To embed multiple inputs in a single request, pass an array of strings or array of token arrays. The input must not exceed the max input to
encoding_format string The format to return the embeddings in. Can be either float or base64. Defaults to float.
dimensions integer The number of dimensions the resulting output embeddings should have. Only supported in text-embedding-3 and later models.
user string A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse.
View JSON Schema on GitHub

JSON Schema

openai-embeddings-create-embedding-request-schema.json Raw ↑
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "title": "CreateEmbeddingRequest",
  "type": "object",
  "properties": {
    "model": {
      "type": "string",
      "description": "ID of the model to use. You can use the List Models API to see all available models, or see the Model overview for descriptions."
    },
    "input": {
      "type": "string",
      "description": "Input text to embed, encoded as a string or array of tokens. To embed multiple inputs in a single request, pass an array of strings or array of token arrays. The input must not exceed the max input tokens for the model."
    },
    "encoding_format": {
      "type": "string",
      "description": "The format to return the embeddings in. Can be either float or base64. Defaults to float."
    },
    "dimensions": {
      "type": "integer",
      "description": "The number of dimensions the resulting output embeddings should have. Only supported in text-embedding-3 and later models."
    },
    "user": {
      "type": "string",
      "description": "A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse."
    }
  }
}

Work with this as data

Every JSON Schema 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 schemas

4 MCP tools reach this
  • find_json_schemasBrowse and filter every JSON Schema 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 JSON Schema
curl "https://apis.io/api/v1/json-schemas/openai-embeddings-create-embedding-request"
All schemas
curl "https://apis.io/api/v1/json-schemas?limit=25"

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

Get an API key

Free tier, no email required.

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