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OpenAPI Specification

openapi: 3.2.0
info:
  title: Neruva Memory API
  description: Typed agentic memory (Records) + knowledge graph + Pearl's do-operator + HD analogy on a deterministic D=8192 HD bipolar substrate. Sub-ms server compute, replayable from a seed, portable .neruva file.
  version: 0.42.3
tags:
- name: Memory
paths:
  /v1/memory/embed:
    post:
      summary: Embed
      description: 'Encode a list of texts to L2-normalized D=1024 float32 vectors.


        Uses sentence-transformers/static-retrieval-mrl-en-v1 (CPU,

        ~7000 texts/sec). Removes the bring-your-own-encoder requirement

        -- agents can call memory_embed -> memory_upsert as a one-line

        text-to-storage flow.'
      operationId: embed_v1_memory_embed_post
      parameters:
      - name: Api-Key
        in: header
        required: false
        schema:
          anyOf:
          - type: string
          - type: 'null'
          title: Api-Key
      - name: authorization
        in: header
        required: false
        schema:
          anyOf:
          - type: string
          - type: 'null'
          title: Authorization
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/EmbedRequest'
      responses:
        '200':
          description: Successful Response
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/EmbedResponse'
        '422':
          description: Validation Error
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/HTTPValidationError'
      tags:
      - Memory
components:
  schemas:
    EmbedRequest:
      properties:
        texts:
          items:
            type: string
          type: array
          title: Texts
          description: One or more texts to embed via the static-MRL D=1024 encoder.
      type: object
      required:
      - texts
      title: EmbedRequest
    EmbedResponse:
      properties:
        vectors:
          items:
            items:
              type: number
            type: array
          type: array
          title: Vectors
        dimension:
          type: integer
          title: Dimension
          default: 1024
        model:
          type: string
          title: Model
          default: sentence-transformers/static-retrieval-mrl-en-v1
      type: object
      required:
      - vectors
      title: EmbedResponse
    ValidationError:
      properties:
        loc:
          items:
            anyOf:
            - type: string
            - type: integer
          type: array
          title: Location
        msg:
          type: string
          title: Message
        type:
          type: string
          title: Error Type
        input:
          title: Input
        ctx:
          type: object
          title: Context
      type: object
      required:
      - loc
      - msg
      - type
      title: ValidationError
    HTTPValidationError:
      properties:
        detail:
          items:
            $ref: '#/components/schemas/ValidationError'
          type: array
          title: Detail
      type: object
      title: HTTPValidationError