openapi: 3.0.3
info:
  title: Langbase Agent Embed API
  description: Representative OpenAPI description of the Langbase serverless AI developer platform. All endpoints are served from https://api.langbase.com and authenticated with a Bearer API key. Generative endpoints (Pipes run, Agent run) return Server-Sent Events (SSE) when `stream` is true. This document is a faithful representative model authored by API Evangelist and is not the provider's official specification.
  termsOfService: https://langbase.com/terms
  contact:
    name: Langbase Support
    url: https://langbase.com/support
  version: '1.0'
servers:
- url: https://api.langbase.com
  description: Langbase production API
security:
- api_key: []
tags:
- name: Embed
paths:
  /v1/embed:
    post:
      operationId: embed
      tags:
      - Embed
      summary: Generate embedding vectors.
      description: Generates embedding vectors for up to 100 chunks per request, each up to 8192 characters, using OpenAI, Cohere, or Google embedding models.
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/EmbedRequest'
      responses:
        '200':
          description: A two-dimensional array of embedding vectors.
          content:
            application/json:
              schema:
                type: array
                items:
                  type: array
                  items:
                    type: number
                    format: float
components:
  schemas:
    EmbedRequest:
      type: object
      properties:
        chunks:
          type: array
          items:
            type: string
          maxItems: 100
        embeddingModel:
          type: string
          default: openai:text-embedding-3-large
      required:
      - chunks
  securitySchemes:
    api_key:
      type: http
      scheme: bearer
      bearerFormat: apiKey