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 server 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: server paths: /v2/health/live: get: summary: Server Live responses: '200': description: OK operationId: server-live description: The “server live” API indicates if the inference server is able to receive and respond to metadata and inference requests. The “server live” API can be used directly to implement the Kubernetes `livenessProbe`. tags: - server /v2/health/ready: get: summary: Server Ready tags: - server responses: '200': description: OK operationId: server-ready description: The “server ready” health API indicates if all the models are ready for inferencing. The “server ready” health API can be used directly to implement the Kubernetes readinessProbe. /v2: get: summary: Server Metadata tags: - server responses: '200': description: OK content: application/json: schema: $ref: '#/components/schemas/MetadataServerResponse' '400': description: Bad Request content: application/json: schema: $ref: '#/components/schemas/MetadataServerErrorResponse' operationId: server-metadata description: The server metadata endpoint provides information about the server. A server metadata request is made with an HTTP GET to a server metadata endpoint. components: schemas: MetadataServerErrorResponse: title: MetadataServerErrorResponse type: object properties: error: type: string required: - error MetadataServerResponse: title: MetadataServerResponse type: object description: '' x-examples: {} properties: name: type: string version: type: string extensions: type: array items: type: string required: - name - version - extensions securitySchemes: OAuth2: type: oauth2 flows: password: tokenUrl: https://Y.Y.Y.Y scopes: email: '' groups: '' openid: '' profile: ''