Vercel

Vercel Embeddings API

Text embeddings

Documentation GitHub OpenAPI

Operations 1

POST /v1/embeddings Create Embedding #

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OpenAPI Specification

openapi: 3.2.0
info:
  title: Vercel AI Gateway Embeddings API
  description: The Vercel AI Gateway provides a unified API to access hundreds of AI models from multiple providers (Anthropic, OpenAI, Google, Meta, Mistral, and more) through a single endpoint. Features include one API key for hundreds of models, spend monitoring, automatic retries and fallbacks, provider routing by cost/latency/throughput, embeddings support, and zero markup on token pricing. Compatible with the AI SDK, OpenAI SDK, and Anthropic SDK.
  version: 1.0.0
  contact:
    name: Vercel Support
    url: https://vercel.com/help
  termsOfService: https://vercel.com/legal/terms
servers:
- url: https://ai-gateway.vercel.sh
  description: Vercel AI Gateway
security:
- BearerAuth: []
tags:
- name: Embeddings
  description: Text embeddings
paths:
  /v1/embeddings:
    post:
      operationId: createEmbedding
      summary: Create Embedding
      description: Create text embeddings using any embedding model accessible via the Vercel AI Gateway. Compatible with the OpenAI Embeddings API.
      tags:
      - Embeddings
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/EmbeddingRequest'
      responses:
        '200':
          description: Embedding response
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/EmbeddingResponse'
        '401':
          $ref: '#/components/responses/Unauthorized'
        '429':
          $ref: '#/components/responses/RateLimitExceeded'
components:
  schemas:
    Error:
      type: object
      properties:
        error:
          type: object
          properties:
            message:
              type: string
            type:
              type: string
            code:
              type: string
    EmbeddingRequest:
      type: object
      required:
      - model
      - input
      properties:
        model:
          type: string
          description: Embedding model identifier
          example: openai/text-embedding-3-small
        input:
          oneOf:
          - type: string
          - type: array
            items:
              type: string
          description: Text to embed
        encoding_format:
          type: string
          enum:
          - float
          - base64
          default: float
    EmbeddingResponse:
      type: object
      properties:
        object:
          type: string
          default: list
        data:
          type: array
          items:
            type: object
            properties:
              object:
                type: string
                default: embedding
              index:
                type: integer
              embedding:
                type: array
                items:
                  type: number
        model:
          type: string
        usage:
          type: object
          properties:
            prompt_tokens:
              type: integer
            total_tokens:
              type: integer
  responses:
    Unauthorized:
      description: Missing or invalid Bearer token
      content:
        application/json:
          schema:
            $ref: '#/components/schemas/Error'
    RateLimitExceeded:
      description: Rate limit or spend limit exceeded
      content:
        application/json:
          schema:
            $ref: '#/components/schemas/Error'
  securitySchemes:
    BearerAuth:
      type: http
      scheme: bearer
      description: Vercel AI Gateway API key (AI_GATEWAY_API_KEY)