Seldon model API
The model API from Seldon — 6 operation(s) for model.
The model API from Seldon — 6 operation(s) for model.
openapi: 3.0.0
info:
description: 'API to interact and manage the lifecycle of your machine learning models
deployed through Seldon Deploy.'
title: Seldon Deploy AlertingService model API
version: v1alpha1
servers:
- url: http://X.X.X.X/seldon-deploy/api/v1alpha1
- url: https://X.X.X.X/seldon-deploy/api/v1alpha1
security:
- OAuth2:
- '[]'
tags:
- name: model
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:
- model
responses:
'200':
description: OK
operationId: model-version-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}/ready:
parameters:
- schema:
type: string
name: model_name
in: path
required: true
get:
summary: Model Ready
tags:
- model
responses:
'200':
description: OK
operationId: model-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:
- model
responses:
'200':
description: OK
content:
application/json:
schema:
$ref: '#/components/schemas/MetadataModelResponse'
'404':
description: Not Found
content:
application/json:
schema:
$ref: '#/components/schemas/MetadataModelErrorResponse'
operationId: model-version-metadata
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. 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}:
parameters:
- schema:
type: string
name: model_name
in: path
required: true
get:
summary: Model Metadata
tags:
- model
responses:
'200':
description: OK
content:
application/json:
schema:
$ref: '#/components/schemas/MetadataModelResponse'
'404':
description: Not Found
content:
application/json:
schema:
$ref: '#/components/schemas/MetadataModelErrorResponse'
operationId: model-metadata
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. 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: Model Inference
operationId: model-version-inference
responses:
'200':
description: OK
content:
application/json:
schema:
$ref: '#/components/schemas/InferenceResponse'
'400':
description: Bad Request
content:
application/json:
schema:
$ref: '#/components/schemas/InferenceErrorResponse'
'404':
description: Not Found
content:
application/json:
schema:
$ref: '#/components/schemas/InferenceErrorResponse'
'500':
description: Internal Server Error
content:
application/json:
schema:
$ref: '#/components/schemas/InferenceErrorResponse'
requestBody:
content:
application/json:
schema:
$ref: '#/components/schemas/InferenceRequest'
description: An inference request is made with an HTTP POST to an inference endpoint. 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.
tags:
- model
/v2/models/{model_name}/infer:
parameters:
- schema:
type: string
name: model_name
in: path
required: true
post:
summary: Model Inference
operationId: model-inference
responses:
'200':
description: OK
content:
application/json:
schema:
$ref: '#/components/schemas/InferenceResponse'
'400':
description: Bad Request
content:
application/json:
schema:
$ref: '#/components/schemas/InferenceErrorResponse'
'404':
description: Not Found
content:
application/json:
schema:
$ref: '#/components/schemas/InferenceErrorResponse'
'500':
description: Internal Server Error
content:
application/json:
schema:
$ref: '#/components/schemas/InferenceErrorResponse'
requestBody:
content:
application/json:
schema:
$ref: '#/components/schemas/InferenceRequest'
description: An inference request is made with an HTTP POST to an inference endpoint. 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.
tags:
- model
components:
schemas:
InferenceRequest:
title: InferenceRequest
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/RequestInput'
outputs:
type: array
items:
$ref: '#/components/schemas/RequestOutput'
required:
- inputs
Parameters:
type: object
title: Parameters
x-examples: {}
additionalProperties: true
properties:
content_type:
type: string
headers:
type: object
ResponseOutput:
title: ResponseOutput
type: object
properties:
name:
type: string
shape:
type: array
items:
type: integer
datatype:
type: string
parameters:
$ref: '#/components/schemas/Parameters'
data:
$ref: '#/components/schemas/TensorData'
required:
- name
- shape
- datatype
- data
RequestOutput:
title: RequestOutput
type: object
properties:
name:
type: string
parameters:
$ref: '#/components/schemas/Parameters'
required:
- name
InferenceErrorResponse:
title: InferenceErrorResponse
type: object
properties:
error:
type: string
RequestInput:
title: RequestInput
type: object
properties:
name:
type: string
shape:
type: array
items:
type: integer
datatype:
type: string
parameters:
$ref: '#/components/schemas/Parameters'
data:
$ref: '#/components/schemas/TensorData'
required:
- name
- shape
- datatype
- data
MetadataTensor:
title: MetadataTensor
type: object
properties:
name:
type: string
datatype:
type: string
shape:
type: array
items:
type: integer
parameters:
$ref: '#/components/schemas/Parameters'
required:
- name
- datatype
- shape
MetadataModelErrorResponse:
title: MetadataModelErrorResponse
type: object
properties:
error:
type: string
required:
- error
MetadataModelResponse:
title: MetadataModelResponse
type: object
properties:
name:
type: string
versions:
type: array
items:
type: string
platform:
type: string
inputs:
type: array
items:
$ref: '#/components/schemas/MetadataTensor'
outputs:
type: array
items:
$ref: '#/components/schemas/MetadataTensor'
parameters:
$ref: '#/components/schemas/Parameters'
required:
- name
- platform
InferenceResponse:
title: InferenceResponse
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/ResponseOutput'
required:
- model_name
- outputs
TensorData:
title: TensorData
securitySchemes:
OAuth2:
type: oauth2
flows:
password:
tokenUrl: https://Y.Y.Y.Y
scopes:
email: ''
groups: ''
openid: ''
profile: ''