Inferless Model Management API

The Model Management API from Inferless — 2 operation(s) for model management.

OpenAPI Specification

inferless-model-management-api-openapi.yml Raw ↑
openapi: 3.0.1
info:
  title: Inferless Inference Model Management API
  description: Specification of the Inferless serverless GPU inference platform. Covers the per-deployment model inference endpoint (KServe v2 style inputs[] payload) and the workspace-scoped REST management API for model settings and logs. The inference host is auto-generated per deployment (m-<id>.<region>.model-v1.inferless.com); management APIs are served from https://api.inferless.com. All requests authenticate with a workspace API key passed as a Bearer token in the Authorization header.
  termsOfService: https://www.inferless.com/terms
  contact:
    name: Inferless Support
    url: https://www.inferless.com
  version: '1.0'
servers:
- url: https://api.inferless.com
  description: Inferless management API base URL.
- url: https://{modelId}.{region}.model-v1.inferless.com
  description: Per-deployment inference host. The full URL is auto-generated and shown on the model's API page in the Inferless console.
  variables:
    modelId:
      default: m-xxxxxxxx
      description: The deployed model identifier prefix.
    region:
      default: default
      description: The deployment region segment.
security:
- bearerAuth: []
tags:
- name: Model Management
paths:
  /rest/model/settings/update/:
    post:
      operationId: updateModelSettings
      tags:
      - Model Management
      summary: Update a model's autoscaling and machine settings.
      description: Updates a deployed model's configuration including min/max replicas, scale-down delay, inference timeout, dedicated vs shared, machine type, and container concurrency.
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/ModelSettingsUpdateRequest'
            example:
              model_id: <model-id>
              data:
                min_replica: 0
                max_replica: 2
                scale_down_delay: 30
                inference_time: 120
                is_dedicated: false
                machine_type: T4
                container_concurrency: 10
                is_input_output_enabled: false
      responses:
        '200':
          description: Update result.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/StatusDetailResponse'
              example:
                status: success
                details: Model updated successfully
        '401':
          description: Missing or invalid workspace API token.
  /rest/model/logs/get/:
    post:
      operationId: getModelLogs
      tags:
      - Model Management
      summary: Retrieve runtime logs for a deployed model.
      description: Returns stdout/stderr log entries for a deployed model over a time range, with optional pagination via next_token.
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/ModelLogsGetRequest'
            example:
              model_id: <model-id>
              time_from: '2026-06-19T00:00:00Z'
              time_to: '2026-06-20T00:00:00Z'
              is_less_logs: false
      responses:
        '200':
          description: Model logs.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ModelLogsResponse'
        '401':
          description: Missing or invalid workspace API token.
components:
  schemas:
    StatusDetailResponse:
      type: object
      properties:
        status:
          type: string
          example: success
        details:
          type: string
    ModelLogsGetRequest:
      type: object
      required:
      - model_id
      - time_from
      - time_to
      properties:
        model_id:
          type: string
        time_from:
          type: string
        time_to:
          type: string
        is_less_logs:
          type: boolean
        next_token:
          type: string
    ModelSettingsUpdateRequest:
      type: object
      required:
      - model_id
      - data
      properties:
        model_id:
          type: string
        data:
          type: object
          properties:
            min_replica:
              type: integer
            max_replica:
              type: integer
            scale_down_delay:
              type: integer
            inference_time:
              type: integer
            is_dedicated:
              type: boolean
            machine_type:
              type: string
              example: T4
            container_concurrency:
              type: integer
            is_input_output_enabled:
              type: boolean
    ModelLogsResponse:
      type: object
      properties:
        status:
          type: string
          example: success
        details:
          type: array
          items:
            type: object
            properties:
              time:
                type: string
              log:
                type: string
              stream:
                type: string
                enum:
                - stderr
                - stdout
        next_token:
          type: string
  securitySchemes:
    bearerAuth:
      type: http
      scheme: bearer
      description: Workspace API key passed as a Bearer token in the Authorization header.