FuriosaAI

FuriosaAI Models API

The Models API from FuriosaAI — 3 operation(s) for models.

GitHub OpenAPI

Operations 3

GET /v2/models/${MODEL_NAME}/versions/${MODEL_VERSION}/ready Model Ready #
GET /v2/models/${MODEL_NAME}/versions/${MODEL_VERSION} Model Metadata #
POST /v2/models/${MODEL_NAME}/versions/${MODEL_VERSION}/infer Inference #

Specifications

⚙
OpenAPI
https://raw.githubusercontent.com/api-evangelist/furiosa/refs/heads/main/openapi/furiosa-models-api-openapi.yml

Other Resources

🔗
Protobuf
https://raw.githubusercontent.com/api-evangelist/furiosa/refs/heads/main/grpc/furiosa-predict.proto
🔗
ErrorCatalog
https://raw.githubusercontent.com/api-evangelist/furiosa/refs/heads/main/errors/furiosa-problem-types.yml
🔗
DataModel
https://raw.githubusercontent.com/api-evangelist/furiosa/refs/heads/main/data-model/furiosa-data-model.yml
🔗
SourceCode
https://github.com/furiosa-ai/furiosa-sdk
🔗
Protobuf
https://raw.githubusercontent.com/api-evangelist/furiosa/refs/heads/main/grpc/furiosa-model-repository.proto

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OpenAPI Specification

furiosa-models-api-openapi.yml Raw ↑ 
openapi: 3.2.0
info:
  title: Predict Models API
  version: '2.0'
  description: https://github.com/kubeflow/kfserving/blob/master/docs/predict-api/v2/required_api.md
  license:
    name: Apache 2.0
servers: []
tags:
- name: Models
paths:
  /v2/models/${MODEL_NAME}/versions/${MODEL_VERSION}/ready:
    parameters:
    - schema:
        type: string
      name: MODEL_NAME
      in: path
      required: true
    - schema:
        type: string
      name: MODEL_VERSION
      in: path
      required: true
    get:
      summary: Model Ready
      tags:
      - Models
      responses:
        '200':
          description: OK
      operationId: get-v2-models-$-modelName-versions-$-modelVersion-ready
      description: The “model ready” health API indicates if a specific model is ready for inferencing. The model name and (optionally) version must be available in the URL. If a version is not provided the server may choose a version based on its own policies.
  /v2/models/${MODEL_NAME}/versions/${MODEL_VERSION}:
    parameters:
    - schema:
        type: string
      name: MODEL_NAME
      in: path
      required: true
    - schema:
        type: string
      name: MODEL_VERSION
      in: path
      required: true
    get:
      summary: Model Metadata
      tags:
      - Models
      responses:
        '200':
          description: OK
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/metadata_model_response'
      operationId: get-v2-models-$-modelName-versions-$-modelVersion
      description: The per-model metadata endpoint provides information about a model. A model metadata request is made with an HTTP GET to a model metadata endpoint. In the corresponding response the HTTP body contains the Model Metadata Response JSON Object or the Model Metadata Response JSON Error Object. The model name and (optionally) version must be available in the URL. If a version is not provided the server may choose a version based on its own policies or return an error.
  /v2/models/${MODEL_NAME}/versions/${MODEL_VERSION}/infer:
    parameters:
    - schema:
        type: string
      name: MODEL_NAME
      in: path
      required: true
    - schema:
        type: string
      name: MODEL_VERSION
      in: path
      required: true
    post:
      summary: Inference
      operationId: post-v2-models-$-MODEL_NAME-versions-$-MODEL_VERSION-infer
      responses:
        '200':
          description: OK
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/inference_response'
        '400':
          description: Bad Request
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/inference_error_response'
      requestBody:
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/inference_request'
      description: An inference request is made with an HTTP POST to an inference endpoint. In the request the HTTP body contains the Inference Request JSON Object. In the corresponding response the HTTP body contains the Inference Response JSON Object or Inference Response JSON Error Object. See Inference Request Examples for some example HTTP/REST requests and responses.
      tags:
      - Models
components:
  schemas:
    inference_error_response:
      title: inference_error_response
      type: object
      properties:
        error:
          type: string
    inference_request:
      title: inference_request
      type: object
      x-examples:
        Example 1:
          id: '42'
          inputs:
          - name: input0
            shape:
            - 2
            - 2
            datatype: UINT32
            data:
            - 1
            - 2
            - 3
            - 4
          - name: input1
            shape:
            - 3
            datatype: BOOL
            data:
            - true
          outputs:
          - name: output0
        Example 2:
          id: '42'
          outputs:
          - name: output0
            shape:
            - 3
            - 2
            datatype: FP32
            data:
            - 1
            - 1.1
            - 2
            - 2.1
            - 3
            - 3.1
      properties:
        id:
          type: string
        parameters:
          $ref: '#/components/schemas/parameters'
        inputs:
          type: array
          items:
            $ref: '#/components/schemas/request_input'
        outputs:
          type: array
          items:
            $ref: '#/components/schemas/request_output'
      required:
      - inputs
    response_output:
      title: response_output
      type: object
      properties:
        name:
          type: string
        shape:
          type: array
          items:
            type: integer
        datatype:
          type: string
        parameters:
          $ref: '#/components/schemas/parameters'
        data:
          $ref: '#/components/schemas/tensor_data'
      required:
      - name
      - shape
      - datatype
      - data
    parameters:
      type: object
      title: parameters
      x-examples: {}
      additionalProperties: true
      properties:
        content_type:
          type: string
    request_output:
      title: request_output
      type: object
      properties:
        name:
          type: string
        parameters:
          $ref: '#/components/schemas/parameters'
      required:
      - name
    inference_response:
      title: inference_response
      type: object
      properties:
        model_name:
          type: string
        model_version:
          type: string
        id:
          type: string
        parameters:
          $ref: '#/components/schemas/parameters'
        outputs:
          type: array
          items:
            $ref: '#/components/schemas/response_output'
      required:
      - model_name
      - outputs
    metadata_tensor:
      title: metadata_tensor
      type: object
      properties:
        name:
          type: string
        datatype:
          type: string
        shape:
          type: array
          items:
            type: integer
        tags:
          type: object
          additionalProperties: true
          properties:
            content_type:
              type: string
      required:
      - name
      - datatype
      - shape
    request_input:
      title: request_input
      type: object
      properties:
        name:
          type: string
        shape:
          type: array
          items:
            type: integer
        datatype:
          type: string
        parameters:
          $ref: '#/components/schemas/parameters'
        data:
          $ref: '#/components/schemas/tensor_data'
      required:
      - name
      - shape
      - datatype
      - data
    tensor_data:
      title: tensor_data
    metadata_model_response:
      title: metadata_model_response
      type: object
      properties:
        name:
          type: string
        versions:
          type: array
          items:
            type: string
        platform:
          type: string
        inputs:
          type: array
          items:
            $ref: '#/components/schemas/metadata_tensor'
        outputs:
          type: array
          items:
            $ref: '#/components/schemas/metadata_tensor'
      required:
      - name
      - platform