Requesty Embeddings API

openapi: 3.0.1
info:
  title: Requesty Router API Keys Embeddings API
  description: OpenAI-compatible LLM gateway that routes a single API across 300+ models from providers such as OpenAI, Anthropic, DeepSeek, and Together AI, adding intelligent routing, automatic fallbacks, response caching, spend controls, and per-request cost observability. This specification covers the documented inference (chat completions, embeddings, models) and management (API keys, usage/analytics) endpoints of the Requesty Router.
  termsOfService: https://www.requesty.ai/terms
  contact:
    name: Requesty Support
    email: support@requesty.ai
  version: '1.0'
servers:
- url: https://router.requesty.ai/v1
  description: Global router
- url: https://router.eu.requesty.ai/v1
  description: EU data residency router
security:
- bearerAuth: []
tags:
- name: Embeddings
  description: Vector embedding generation.
paths:
  /embeddings:
    post:
      operationId: createEmbedding
      tags:
      - Embeddings
      summary: Create embeddings
      description: Generates vector embeddings for the supplied input text using a routed embedding model.
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/CreateEmbeddingRequest'
      responses:
        '200':
          description: OK
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/CreateEmbeddingResponse'
components:
  schemas:
    CreateEmbeddingResponse:
      type: object
      properties:
        object:
          type: string
          example: list
        data:
          type: array
          items:
            type: object
            properties:
              object:
                type: string
                example: embedding
              index:
                type: integer
              embedding:
                type: array
                items:
                  type: number
        model:
          type: string
        usage:
          $ref: '#/components/schemas/Usage'
    Usage:
      type: object
      properties:
        prompt_tokens:
          type: integer
        completion_tokens:
          type: integer
        total_tokens:
          type: integer
        cost:
          type: number
          description: Requesty USD cost for the request.
    CreateEmbeddingRequest:
      type: object
      required:
      - model
      - input
      properties:
        model:
          type: string
        input:
          description: Input text or array of text to embed.
          oneOf:
          - type: string
          - type: array
            items:
              type: string
  securitySchemes:
    bearerAuth:
      type: http
      scheme: bearer
      description: Requesty API key passed as a Bearer token in the Authorization header.