Superb AI Models API

The models API from Superb AI — 2 operation(s) for models.

Operations 4

GET /tenants/{slug}/models List Models #
GET /tenants/{slug}/models/{model_id} Get Model #
PATCH /tenants/{slug}/models/{model_id} Update Model #
DELETE /tenants/{slug}/models/{model_id} Delete Model #

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OpenAPI Specification

superb-ai-models-api-openapi.yml Raw ↑
openapi: 3.2.0
info:
  title: MLOps Platform Models API
  description: Multi-tenant labeling-platform backend.
  version: 0.1.0
tags:
- name: Models
paths:
  /tenants/{slug}/models:
    get:
      tags:
      - Models
      summary: List Models
      description: 'The tenant model registry — every trained model across all projects, newest

        first. `?project_id=` narrows to one project''s lineage.'
      operationId: models-list_models
      security:
      - HTTPBearer: []
      parameters:
      - name: slug
        in: path
        required: true
        schema:
          type: string
          title: Slug
      - name: project_id
        in: query
        required: false
        schema:
          anyOf:
          - type: string
            format: uuid
          - type: 'null'
          description: 'optional: only this project''s models'
          title: Project Id
        description: 'optional: only this project''s models'
      - name: limit
        in: query
        required: false
        schema:
          type: integer
          maximum: 100
          minimum: 1
          description: Max rows per page.
          default: 50
          title: Limit
        description: Max rows per page.
      - name: cursor
        in: query
        required: false
        schema:
          anyOf:
          - type: string
          - type: 'null'
          description: Opaque pagination cursor from a previous response's `next_cursor`; omit for the first page.
          title: Cursor
        description: Opaque pagination cursor from a previous response's `next_cursor`; omit for the first page.
      responses:
        '200':
          description: Successful Response
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/TrainedModelListPage'
        '422':
          description: Validation Error
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/HTTPValidationError'
        '401':
          description: Unauthenticated — missing, malformed, or expired Bearer token
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ErrorResponse'
        '403':
          description: Authenticated but not authorized for this resource
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ErrorResponse'
        '404':
          description: Resource not found in this tenant
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ErrorResponse'
        '409':
          description: Conflict — resource state prevents this action
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ErrorResponse'
        '429':
          description: Rate-limited (per-tenant token bucket)
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ErrorResponse'
  /tenants/{slug}/models/{model_id}:
    get:
      tags:
      - Models
      summary: Get Model
      operationId: models-get_model
      security:
      - HTTPBearer: []
      parameters:
      - name: model_id
        in: path
        required: true
        schema:
          type: string
          format: uuid
          title: Model Id
      - name: slug
        in: path
        required: true
        schema:
          type: string
          title: Slug
      responses:
        '200':
          description: Successful Response
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/TrainedModelResponse'
        '422':
          description: Validation Error
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/HTTPValidationError'
        '401':
          description: Unauthenticated — missing, malformed, or expired Bearer token
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ErrorResponse'
        '403':
          description: Authenticated but not authorized for this resource
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ErrorResponse'
        '404':
          description: Resource not found in this tenant
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ErrorResponse'
        '409':
          description: Conflict — resource state prevents this action
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ErrorResponse'
        '429':
          description: Rate-limited (per-tenant token bucket)
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ErrorResponse'
    patch:
      tags:
      - Models
      summary: Update Model
      description: 'Edit a trained model (ADR-0072) — name and/or description (partial). Name is

        unique per tenant (case-insensitive). Workspace-admin only (ML surface). 409 on

        name collision.'
      operationId: models-update_model
      security:
      - HTTPBearer: []
      parameters:
      - name: model_id
        in: path
        required: true
        schema:
          type: string
          format: uuid
          title: Model Id
      - name: slug
        in: path
        required: true
        schema:
          type: string
          title: Slug
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/TrainedModelUpdate'
      responses:
        '200':
          description: Successful Response
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/TrainedModelResponse'
        '422':
          description: Validation Error
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/HTTPValidationError'
        '401':
          description: Unauthenticated — missing, malformed, or expired Bearer token
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ErrorResponse'
        '403':
          description: Authenticated but not authorized for this resource
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ErrorResponse'
        '404':
          description: Resource not found in this tenant
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ErrorResponse'
        '409':
          description: Conflict — resource state prevents this action
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ErrorResponse'
        '429':
          description: Rate-limited (per-tenant token bucket)
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ErrorResponse'
    delete:
      tags:
      - Models
      summary: Delete Model
      description: 'Delete a trained model (the deletable product) — drops the row and enqueues

        async S3 cleanup of its weights (ADR-0064; runs are NOT deletable). Hard delete,

        no soft-delete/archive. Cascades to any deployment rows of this model (FK).'
      operationId: models-delete_model
      security:
      - HTTPBearer: []
      parameters:
      - name: model_id
        in: path
        required: true
        schema:
          type: string
          format: uuid
          title: Model Id
      - name: slug
        in: path
        required: true
        schema:
          type: string
          title: Slug
      responses:
        '204':
          description: Successful Response
        '422':
          description: Validation Error
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/HTTPValidationError'
        '401':
          description: Unauthenticated — missing, malformed, or expired Bearer token
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ErrorResponse'
        '403':
          description: Authenticated but not authorized for this resource
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ErrorResponse'
        '404':
          description: Resource not found in this tenant
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ErrorResponse'
        '409':
          description: Conflict — resource state prevents this action
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ErrorResponse'
        '429':
          description: Rate-limited (per-tenant token bucket)
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ErrorResponse'
components:
  schemas:
    ErrorResponse:
      type: object
      required:
      - error
      properties:
        error:
          type: object
          required:
          - code
          - message
          properties:
            code:
              $ref: '#/components/schemas/ErrorCode'
            message:
              type: string
              description: Human-readable; free to evolve. Don't pattern-match on this.
            hint:
              type: string
              nullable: true
              description: When present, a concrete next step (often references a CLI command).
            details:
              type: object
              nullable: true
              description: Per-`code` structured payload; schema documented per code.
            request_id:
              type: string
              nullable: true
              description: Correlation id for support / log lookups.
    PerClassMetrics:
      properties:
        class:
          type: string
          title: Class
        precision:
          type: number
          title: Precision
        recall:
          type: number
          title: Recall
        f1:
          type: number
          title: F1
        support:
          type: integer
          title: Support
      additionalProperties: false
      type: object
      required:
      - class
      - precision
      - recall
      - f1
      - support
      title: PerClassMetrics
      description: One class's P/R/F1 + GT support at the chosen threshold.
    OverallMetrics:
      properties:
        precision:
          type: number
          title: Precision
          default: 0.0
        recall:
          type: number
          title: Recall
          default: 0.0
        f1:
          type: number
          title: F1
          default: 0.0
        map:
          type: number
          title: Map
          default: 0.0
        map_50:
          type: number
          title: Map 50
          default: 0.0
      additionalProperties: false
      type: object
      title: OverallMetrics
      description: 'Overall detection/segmentation metrics at the F1-optimal confidence.

        `map`/`map_50` are injected post-hoc by `trainer._score_split` (torchmetrics),

        so `evaluate()` returns them unset — hence Optional-with-default.'
    ConfusionMatrix:
      properties:
        labels:
          items:
            type: string
          type: array
          title: Labels
        matrix:
          items:
            items:
              type: integer
            type: array
          type: array
          title: Matrix
      additionalProperties: false
      type: object
      required:
      - labels
      - matrix
      title: ConfusionMatrix
      description: K classes + a trailing 'background' bucket for FP/missed.
    TrainedModelUpdate:
      properties:
        name:
          anyOf:
          - type: string
            maxLength: 255
          - type: 'null'
          title: Name
          description: New display name (unique per tenant, case-insensitive); omit to leave unchanged.
        description:
          anyOf:
          - type: string
            maxLength: 1000
          - type: 'null'
          title: Description
          description: New description; send null to clear it, omit to leave unchanged.
      type: object
      title: TrainedModelUpdate
      description: 'Edit a trained model (ADR-0072) — name and/or description (partial; send only

        what changes). Name is unique per tenant (case-insensitive); `description` may be

        set to null to clear it.'
    TrainingTask:
      type: string
      enum:
      - detection
      - segmentation
      title: TrainingTask
    TrainingMetricsSummary:
      properties:
        optimal_confidence:
          type: number
          title: Optimal Confidence
          default: 0.0
        overall:
          $ref: '#/components/schemas/OverallMetrics'
        per_class:
          items:
            $ref: '#/components/schemas/PerClassMetrics'
          type: array
          title: Per Class
        confusion_matrix:
          anyOf:
          - $ref: '#/components/schemas/ConfusionMatrix'
          - type: 'null'
        num_test:
          anyOf:
          - type: integer
          - type: 'null'
          title: Num Test
      type: object
      title: TrainingMetricsSummary
      description: 'The full scorecard persisted to `TrainedModel.metrics_summary` and echoed

        on `TrainedModelResponse.metrics_summary`. Lenient on read (`extra="ignore"`)

        so a future added key never 500s a model read; `num_test` is set only on the

        final (full) scorecard, so it is Optional.'
    TrainedModelListPage:
      properties:
        items:
          items:
            $ref: '#/components/schemas/TrainedModelResponse'
          type: array
          title: Items
        next_cursor:
          anyOf:
          - type: string
          - type: 'null'
          title: Next Cursor
      type: object
      required:
      - items
      title: TrainedModelListPage
    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
    TrainedModelResponse:
      properties:
        id:
          type: string
          format: uuid
          title: Id
          description: Trained-model id.
        name:
          type: string
          title: Name
          description: Display name (unique per tenant, case-insensitive).
        description:
          anyOf:
          - type: string
          - type: 'null'
          title: Description
          description: Optional free-text description; null if unset.
        task:
          $ref: '#/components/schemas/TrainingTask'
          description: Task the model performs (detection or segmentation).
        model:
          type: string
          title: Model
          description: Catalog model key the run used (e.g. 'rf-detr-nano').
        project_id:
          type: string
          format: uuid
          title: Project Id
          description: 'Lineage: which project''s data produced this model (tenant registry).'
        training_run_id:
          type: string
          format: uuid
          title: Training Run Id
          description: Training run that produced this model.
        project_version_id:
          type: string
          format: uuid
          title: Project Version Id
          description: Frozen project version the run trained on.
        class_map:
          additionalProperties:
            type: string
          type: object
          title: Class Map
          description: Model class index → class name.
        metrics_summary:
          $ref: '#/components/schemas/TrainingMetricsSummary'
          description: Summary evaluation metrics for the trained model.
        created_at:
          type: string
          format: date-time
          title: Created At
          description: When the model was registered.
        updated_at:
          type: string
          format: date-time
          title: Updated At
          description: When the model was last updated.
      type: object
      required:
      - id
      - name
      - description
      - task
      - model
      - project_id
      - training_run_id
      - project_version_id
      - class_map
      - metrics_summary
      - created_at
      - updated_at
      title: TrainedModelResponse
    ErrorCode:
      type: string
      enum:
      - UNCATEGORIZED
      - AUTH_MISSING
      - AUTH_INVALID_CREDENTIAL
      - AUTH_TOKEN_EXPIRED
      - AUTH_FORBIDDEN
      - AUTH_TENANT_MISMATCH
      - VALIDATION_ERROR
      - VALIDATION_REQUIRED_CLASSIFICATION_MISSING
      - BAD_REQUEST
      - INVALID_CURSOR
      - INVALID_FILTER
      - UNSUPPORTED_OPERATION
      - PAYLOAD_TOO_LARGE
      - TENANT_NOT_FOUND
      - TENANT_SLUG_TAKEN
      - USER_NOT_FOUND
      - USER_EMAIL_TAKEN
      - INVITATION_NOT_FOUND
      - INVITATION_PENDING
      - INVITATION_NOT_PENDING
      - INVITATION_EXPIRED
      - LAST_ADMIN
      - DATASET_NOT_FOUND
      - DATASET_NAME_TAKEN
      - DATASET_DELETED
      - DATASET_ASSET_CAP_EXCEEDED
      - ASSET_NOT_FOUND
      - ASSET_DELETED
      - ASSET_NOT_EMBEDDED
      - ASSET_FORMAT_UNSUPPORTED
      - ASSET_TOO_LARGE
      - PROJECT_NOT_FOUND
      - PROJECT_ARCHIVED
      - PROJECT_MEMBER_NOT_FOUND
      - PROJECT_CLASS_NOT_FOUND
      - VERSION_NOT_FOUND
      - MODEL_NOT_FOUND
      - RESOURCE_NOT_READY
      - PROJECT_STATE_FORBIDDEN
      - CLASS_LOCKED
      - CLASS_IN_USE
      - DEPLOYMENT_NOT_FOUND
      - DEPLOYMENT_STATE_FORBIDDEN
      - EXPORT_EXPIRED
      - EXPORT_FAILED
      - ANNOTATION_NOT_FOUND
      - JOB_NOT_FOUND
      - JOB_ALREADY_RUNNING
      - JOB_PER_TENANT_CAP
      - JOB_TERMINAL
      - EMBEDDER_UNAVAILABLE
      - EMBEDDER_INVOCATION_FAILED
      - NAME_TAKEN
      - IDEMPOTENCY_REPLAY
      - CONCURRENT_MODIFICATION
      - RATE_LIMITED
      - RESOURCE_LIMIT_EXCEEDED
      - INTERNAL_ERROR
      - DEPENDENCY_UNAVAILABLE
      - MODEL_LOADING
      - MODEL_STARTING
      description: Stable error code enum. Pattern-match here, never on `message`. Adding values is non-breaking; renaming/removing is a major bump.
    HTTPValidationError:
      properties:
        detail:
          items:
            $ref: '#/components/schemas/ValidationError'
          type: array
          title: Detail
      type: object
      title: HTTPValidationError
  securitySchemes:
    HTTPBearer:
      type: http
      description: Cognito access token
      scheme: bearer