TrueFoundry

TrueFoundry Embeddings API

Text embedding operations

Documentation GitHub OpenAPI

Operations 1

POST /embeddings Create Embeddings #

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OpenAPI Specification

openapi: 3.2.0
info:
  title: TrueFoundry AI Gateway Audio Embeddings API
  description: The TrueFoundry AI Gateway API is an OpenAI-compatible proxy layer providing unified access to 1000+ language models across 30+ providers through a single endpoint. It supports chat completions, embeddings, image generation, audio processing, batch operations, file management, content moderation, and model management. The gateway provides centralized authentication, rate limiting, budget controls, observability, and MCP server orchestration.
  version: 1.0.0
  contact:
    name: TrueFoundry Support
    url: https://www.truefoundry.com/
    email: support@truefoundry.com
  termsOfService: https://www.truefoundry.com/privacy-policy
servers:
- url: https://app.truefoundry.com/api/llm
  description: TrueFoundry AI Gateway (default control plane)
- url: https://{control_plane_url}/api/llm
  description: Self-hosted TrueFoundry control plane
  variables:
    control_plane_url:
      default: app.truefoundry.com
      description: Your TrueFoundry control plane URL
security:
- BearerAuth: []
tags:
- name: Embeddings
  description: Text embedding operations
paths:
  /embeddings:
    post:
      summary: Create Embeddings
      description: Generate vector embeddings for input text. Used for semantic search, retrieval-augmented generation (RAG), and similarity comparisons.
      operationId: createEmbeddings
      tags:
      - Embeddings
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/EmbeddingRequest'
      responses:
        '200':
          description: Embedding vectors
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/EmbeddingResponse'
        '400':
          $ref: '#/components/responses/BadRequest'
        '401':
          $ref: '#/components/responses/Unauthorized'
components:
  responses:
    Unauthorized:
      description: Unauthorized - invalid or missing API key
      content:
        application/json:
          schema:
            type: object
            properties:
              error:
                type: object
                properties:
                  message:
                    type: string
                  type:
                    type: string
    BadRequest:
      description: Bad request - invalid parameters
      content:
        application/json:
          schema:
            type: object
            properties:
              error:
                type: object
                properties:
                  message:
                    type: string
                  type:
                    type: string
                  code:
                    type: string
  schemas:
    EmbeddingResponse:
      type: object
      properties:
        object:
          type: string
          enum:
          - list
        data:
          type: array
          items:
            type: object
            properties:
              object:
                type: string
                enum:
                - 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
    EmbeddingRequest:
      type: object
      required:
      - model
      - input
      properties:
        model:
          type: string
          description: Embedding model identifier
        input:
          oneOf:
          - type: string
          - type: array
            items:
              type: string
          description: Text to embed
        encoding_format:
          type: string
          enum:
          - float
          - base64
          default: float
        dimensions:
          type: integer
          description: Embedding vector dimensions (model-specific)
        user:
          type: string
  securitySchemes:
    BearerAuth:
      type: http
      scheme: bearer
      description: TrueFoundry API key (JWT format)

TrueFoundry Embeddings API

Operations 1

Documentation

Specifications

Schemas & Data

Other Resources