Nscale

Nscale Embeddings API

Vector embeddings of text input.

Documentation GitHub OpenAPI

Operations 1

POST /embeddings Create embeddings #

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OpenAPI Specification

openapi: 3.2.0
info:
  title: Nscale Serverless Inference Chat Embeddings API
  description: OpenAI-compatible serverless inference API for Nscale. Provides chat completions, text completions, embeddings, image generation, and model discovery against open models (Llama, Qwen, DeepSeek, GPT OSS, Mistral, Flux) served on Nscale GPU infrastructure. Authenticate with a Bearer API key issued from the Nscale console.
  termsOfService: https://www.nscale.com/legal/terms-of-service
  contact:
    name: Nscale Support
    url: https://docs.nscale.com
  version: '1.0'
servers:
- url: https://inference.api.nscale.com/v1
  description: Serverless Inference API
security:
- bearerAuth: []
tags:
- name: Embeddings
  description: Vector embeddings of text input.
paths:
  /embeddings:
    post:
      operationId: createEmbedding
      tags:
      - Embeddings
      summary: Create embeddings
      description: Returns a vector representation of a given input that can be consumed by machine learning models and retrieval systems.
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/EmbeddingRequest'
      responses:
        '200':
          description: A list of embedding vectors.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/EmbeddingResponse'
        '401':
          $ref: '#/components/responses/Unauthorized'
        '429':
          $ref: '#/components/responses/RateLimited'
components:
  responses:
    Unauthorized:
      description: Missing or invalid API key.
      content:
        application/json:
          schema:
            $ref: '#/components/schemas/Error'
    RateLimited:
      description: Too many requests; back off and retry.
      content:
        application/json:
          schema:
            $ref: '#/components/schemas/Error'
  schemas:
    EmbeddingResponse:
      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
                  format: float
        model:
          type: string
        usage:
          $ref: '#/components/schemas/Usage'
    EmbeddingRequest:
      type: object
      required:
      - model
      - input
      properties:
        model:
          type: string
          description: Embedding model identifier, e.g. Qwen/Qwen3-Embedding-8B.
        input:
          description: Text or array of text to embed.
          oneOf:
          - type: string
          - type: array
            items:
              type: string
        encoding_format:
          type: string
          enum:
          - float
          - base64
          default: float
    Error:
      type: object
      properties:
        error:
          type: object
          properties:
            message:
              type: string
            type:
              type: string
            code:
              type: string
    Usage:
      type: object
      properties:
        prompt_tokens:
          type: integer
        completion_tokens:
          type: integer
        total_tokens:
          type: integer
  securitySchemes:
    bearerAuth:
      type: http
      scheme: bearer
      description: 'Nscale API key issued from the console, sent as `Authorization: Bearer $NSCALE_API_KEY`.'