FuriosaAI · OpenAPI Overlay 1.0.0

API Evangelist enhancements for the Furiosa Model Server Predict API

7 actions 7 updates update extends openapi/furiosa-predict-v2.yaml
Derived by API Evangelist Built from the contracts FuriosaAI publishes. FuriosaAI did not publish this file.
View Overlay File View on GitHub Overlay Specification

What the actions change

x-idempotentx-response-semanticsx-providerx-provider-urlx-productx-spec-originx-deploymentx-purpose

Targets 7

$.info
$.servers
$.paths['/v2/health/live'].get
$.paths['/v2/health/ready'].get
$.paths['/v2/'].get
$.paths['/v2/models/${MODEL_NAME}/versions/${MODEL_VERSION}/infer'].post
$.components.schemas.tensor_data

OpenAPI Overlay

Raw ↑
overlay: 1.0.0
info:
  title: API Evangelist enhancements for the Furiosa Model Server Predict API
  version: 1.0.0
x-generated: '2026-08-16'
x-method: generated
x-source: openapi/furiosa-predict-v2.yaml
x-note: >-
  Non-destructive enhancements to the spec FuriosaAI publishes at
  https://github.com/furiosa-ai/furiosa-sdk/blob/main/python/furiosa-server/openapi/predict.yaml.
  The original is saved verbatim and never mutated. Three things this overlay records that the
  original leaves implicit - who serves it (the spec's servers[] is empty and info.title is the
  generic upstream "Predict API"), what the health endpoints' 400 actually means, and the fact
  that the path templates use ${MODEL_NAME} shell-style syntax rather than OpenAPI {modelName}.
extends: openapi/furiosa-predict-v2.yaml
actions:
  - target: $.info
    update:
      x-provider: FuriosaAI, Inc.
      x-provider-url: https://furiosa.ai/
      x-product: Furiosa Model Server (furiosa-server)
      x-spec-origin: >-
        Vendored by FuriosaAI into its own first-party repository (furiosa-ai/furiosa-sdk,
        python/furiosa-server/openapi/predict.yaml) as the published contract of Furiosa Model
        Server. info.title and info.description name the upstream KServe/KFServing V2 Dataplane
        rather than FuriosaAI because the server implements that protocol verbatim; the
        furiosa-server README states the compliance claim directly.
      x-deployment: customer-hosted
  - target: $.servers
    update:
      - url: http://{host}:{port}
        description: >-
          Customer-hosted Furiosa Model Server. The original spec ships an empty servers[]
          because there is no FuriosaAI-operated instance. Defaults from
          furiosa/server/settings.py - REST 8080, gRPC 8081, bind 0.0.0.0.
        variables:
          host:
            default: localhost
          port:
            default: '8080'
            enum:
              - '8080'
  - target: $.paths['/v2/health/live'].get
    update:
      x-response-semantics: >-
        Returns a bare 200 for live and 400 for not-live with no body (furiosa-server's
        BooleanResponse). A 400 here is a state signal, not a malformed-request signal.
      x-idempotent: true
  - target: $.paths['/v2/health/ready'].get
    update:
      x-response-semantics: Bare 200 ready / 400 not ready, no body.
      x-idempotent: true
  - target: $.paths['/v2/'].get
    update:
      x-purpose: Server metadata - name, version and supported protocol extensions.
      x-idempotent: true
  - target: $.paths['/v2/models/${MODEL_NAME}/versions/${MODEL_VERSION}/infer'].post
    update:
      x-idempotent: false
      x-consequence: compute
      x-validation-note: >-
        Input tensor name, shape and datatype must match GET
        /v2/models/{name}/versions/{version} exactly. The schema types shape as a free integer
        array, so a mismatch surfaces at runtime as a 400 inference_error_response rather than
        as a schema validation failure.
  - target: $.components.schemas.tensor_data
    update:
      x-note: >-
        Flattened row-major tensor payload. Element type is governed by the sibling `datatype`
        field, not by the schema, so a generated client cannot type this without reading
        model metadata first.

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